Valparaíso, octubre 29-31, 2019. Pontificia Universidad...

IEEE Chilecon2019 Program pág. 1

IEEE CHILECON 2019

IEEE Contribution in COP 25 year “Suitable Technology Transfer for a Sustainable Development”

Valparaíso, octubre 29-31, 2019. Pontificia Universidad Católica de Valparaíso, Chile

IEEE CHILEAN CONFERENCE ON ELECTRICAL,

ELECTRONICS ENGINEERING, INFORMATION

AND COMMUNICATION TECHNOLOGIES

Valparaíso, Chile, October 29-31, 2019

Organizers

IEEE Consejo Cono Sur

IEEE Consejo Chile

Asociación Chilena de Control Automático ACCA

IEEE Chilean Chapter on Control Systems

IEEE Chilean Chapter on SMC

Escuela de Ingeniería Informática Facultad de Ingeniería Pontificia

Universidad Católica de Valparaíso, Chile (PUCV)

http://www.ieeechile.cl/

http://ieee-ica-acca2018.ubiobio.cl/


INDEX

INDEX 2

Welcome by Gastón Lefranc, IEEE Cono Sur President, IEEE Chile Council Prersident, and IEEE

IEEE Chilecon2019 Co-Chair 3

Welcome by Dr. José Ceroni, Decano de la Facultad de Ingeniería PUCV, IEEE Chilecon2019 Co-

Chair 4

Preface of Dr. Claudio Cubillos, Escuela Informática PUCV, IEEE Chilecon2019 Co-Chair 5

Honorary President of IEEE Chilecon 2017: Dr. René Nóbile, Premio IEEE AIE Ingeniero

Sobresaliente 2018: Samir Kuoro 6

Premio IEEE Ingeniero Eminente de Latinoamerica 2019: Dr. Pablo Estévez 7

IEEE IEEE Chilecon2019 Organization, IEEE Chile Section, IEEE Chilean Chapters, Asociación

Chilena de Control automático ACCA. Sponsorships 8

IPC Chairs Reviewers 9

Program by Tracks IEEE Chilecon2019 Tracks 10

IEEE Chilecon2019 8 General Program Tuesday 29 11

IEEE Chilecon2019 8 General Program Wednesday 30 and Thursday 31 12

Keynote 1: Pablo Estévez Keynote 2: Samir Kuoro 54

Keynote 3: Marcos Díaz Keynote 4: Pamela Guevara

Keynote 5: Mario Peña Keynote 6: Fernando Passold

Keynote 7: Luis Kun Keynote 8: Fernando Guarín

Keynote 9: Rafael Sotelo Keynote 10: Gustavo Gianastassio

Keynote11: Juan Perdomo Keynote 12: Critian Edouard Rusu


Welcome by IEEE Chilecon2019 Co-Chair

Welcome to

IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING,

INFORMATION AND COMMUNICATION TECHNOLOGIES

IEEE Chilecon2019

This Conference is organized by Consejo Cono Sur, IEEE Consejo Chile with its two sections: IEEE Chile Centro

and Chile Sur and it is aligned with the Climate Change Conference, COP25, which will be held in Chile during

November 2019. For that reason, our event has a lema: “Suitable Technology Transfer for a Sustainable

Development”

This Conference is for exchanging knowledge, research results, new ideas and projects, applications in industries,

and above all, for getting to know each other, to explore and for beginning cooperation and collaboration,

strengthen professional connections and friendship ties. Here, one comes to present what one has done, to expose

a constructive criticism and to learn from one of each other.

The alliance that exists between Asociación Chilena de Control Automático ACCA), the IEEE Chile Section and

its IEEE CS, SMC Chilean Chapters is a long-standing one: since 1987, to carry out joint technical activities such

as the IEEE Chilecon Conference and ACCA Congress united to IEEE ICA (International Conference on

Automatic). These activities are supported by Universities, in this opportunity is the Pontificia Universidad

Católica de Valparaíso, with some sponsorship important institutions and companies.

I want to do a tribute to two people who have been crucial in this successful model of Conferences because they

have managed how to attract a growing number of people. One of them is Dr. Mario Fernández, from the

University of Talca for his ideas for the Congress, his enthusiasm, responsibility and effort. He is Vice President

of ACCA. The other is my brother Etienne Lefranc, who anonymously contributed from the University where he

worked, all his experience in directing company (general manager in France and in Chile of Software companies.)

Between the three of us we have created a model of Conferences that encourages participate, economically

sustainable and of high quality, added trust, an atmosphere of adequate camaraderie, a good call, an incentive to

present better jobs and the contribution of universities, such as Pontificia Universidad Católica de Valparaíso in

this case, that add more value to these events.

I must mention the works of Dr. Claudio Cubillos, organizer of this Conference IEEE Chilecon2019, for their

capacities, efforts and to solve all obstacles in successes way. I invite you to listen, to dialogue, to agree and

disagree with our guests in their Talks, in the Discussion Panels, and especially in the technical sessions.

This year we have a 10 Keynote Speakers and Discussion Panel about Technology Transfer for a Sustainable

Development, in order to produce a synergy of development in our country and Latin Americans, and give some

ideas to COP25, to be held in a few days,

All of you that participating in this Conference, you are the most important actor to realize all the expectations

that our society expects from us, the engineers, in order to produce jobs and innovations that allow to achieve a

better quality of life and of opportunity to work in our countries in latin america.

Gastón Lefranc,

IEEE Cono Sur President, IEEE Chile Council President, and IEEE IEEE Chilecon2019 Co-Chair


A message from Prof. José Ceroni,

Chilecon2019 Co-President

Dear IEEE Chilecon2019 Conference attendants, As Dean of the School of Engineering at the Pontifical Catholic

University of Valparaíso I wholeheartedly welcome each one of you to the IEEE Chilecon2019 Conference.

What you are about to experience is the dedicated and thorough work and planning by colleagues from the School

of Information Engineering, IEEE and the Chilean Association of Automatic Control (ACCA). As the core of

the Conference, technical sessions will introduce participants research accomplishments as well as advancements

in teaching and technical assistance to the community by leading representatives of both academia and business

with focus in Latin American experiences. I would like to extend a friendly welcome to colleagues and friends

from the 24 countries represented in the Conference attendance. We at the Conference organization are

encouraged by the many ideas in the Conference submissions that would most certainly inspire the COP25

meeting, dedicated to the analysis and search for solutions to climate change and the well being of humanity. I

would like to congratulate the Conference organizers, especially the Chilean Chapters of IEEE and ACCA for

this initiative that transcends our university, region and country. I wish you all and enjoyable and productive

week in our beloved city of Valparaíso!

José Ceroni, Ph.D.

IEEE Chilecon2019 Co- President

Past Chair of IEEE Chilean Chapter on SMC

Dean of Engineering

Pontificia Universidad Católica de Valparaíso


Welcome by Claudio Cubillos

President of this Conference

IPC Chair

IEEE Chilecon2019 Conference includes all areas of automation, computer engineering, biomedical engineering,

power engineering, communications, computer scienes, industrial engineering, and many others. The Conference

has 18 tracks. This Conference accepts on research, technology development, engineering applications, and

innovations in education, so that authors can discuss new ideas, and share their works with their colleagues in

the technical sessions. IEEE Chilecon2019 and IEEE Chile Centro and Chile Sur are aligned with the Climate

Change Conference, COP25, which will be held in Chile during November 2019.

The Conference includes Technical Sessions, Plenary Talks of Keynote Speakers, Tutorials, and Discussion

Panel on some relevant topics. In addition, professionals from industry will show new developments through

lectures and exhibition of hardware and software. The Conference objectives are to: Disseminate recent local

research and development related with automation applied in the areas of electrical engineering, electronics,

computer engineering, biomedical engineering, process engineering and industrial engineering. Promote the

advancement and exchange of knowledge and experiences in the areas of these disciplines among academics,

professionals and students. Encourage the formation and consolidation of networks of friendship and cooperation

among professionals, academics and students.

To produce a synergy of development in our country and the Latin American countries, creating a bridge between

the academy with the industries and companies, more suppliers, that together with the participants of this

Conference, make a joint and fruitful work come true. To recommend some ideas to cop25. The idea is that

attendees are motivated to create companies or improve their environment with innovations and actions that

generate jobs and also allow to achieve a better quality of life and opportunity to work.

We thank ACCA, IEEE and its Chapters, the Chilean Association of Engineers and AIE (Chilean Association of

Electric and Electronic Industries), and especially Pontificia Universidad Católica de Valparaíso. This

Conference is official in IEEE. 272 works were received, of which the IPC International Program Committee

only selected 239, which will be presented at the Technical Sessions.

All accepted papers will be published in IEEE Xplore and the best papers, as is tradition since 2004, will be

published in Journals of ISI Web os Science.

We also have ten Keynotes Speakers anc Discussion Panel about Technology Transfer for a Sustainable

Development, in order to produce a synergy of development in our country and Latin Americans, and give some

ideas to COP25. Thanks to all of them.

I invite you to enjoy this Conference, learn and share.

Claudio Cubillos

Co-President of IEEE Chilecon2019 Conference

Pontificia Universidad Católica de Valparaíso Professor


IEEE Chilecon2019 Honorary Preside

Renés Nóbile (Q.E.P.D.),

------------------------------------------------------------------------------------------------------------------------------------- René Nóbile Aguilera fue un destacado Profesor e Investigador del Departamento de Ingeniería Eléctrica de la Universidad d e Chile,

donde comenzó 3n 1969. Junto a Alan Capel y Nicolás Beltrán, crearon el Laboratorio de Microelectrónica de la Universidad de Chile

en 1971, la base para la Empresa Nacional de Electrónica, estatal chilena, que llegó a fabricar transistores y sistemas integrados en baja

escala. Nació en 1947, estudio en el Colegio San Ignacio de Santiago (Alonso Ovalle), y luego en la Universidad de Chile donde obtuvo,

paralelamente los títulos de Ingeniro Eléctrico y de Licenciado en Física. Posteriormente, obtiene su Doctorado en Ingeniería

especializado en Inteligencia Artificial y Robótica, en 1980, en Rennes, Francia. Tuvo varios proyectos Fondecyt y numerosas

publicaciones en Congresos y Journals. Trabajo un tiempo en Tecnos Chile. Fue presidente de la sección Chile del IEEE en 1983 y

miembro del Directorio por varios años.

-------------------------------------------------------------------------------------------------------------------------------------

EEE Prize Ingeniero Sobresaliente IEEE AIE 2018

Samir Kuoro

------------------------------------------------------------------------------------------------------------------------------------

Dr. Samir Kouro received the M.Sc. and Ph.D. degrees in electronics engineering from the Universidad Técnica Federico

Santa Maria (UTFSM), Valparaíso, Chile, in 2004 and 2008, respectively. Since 2007 he has been with the Department of

Electronic Engineering 2007, where he currently serves as Associate Professor. From 2009 to 2011 he was a Postdoctoral

Fellow in the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. His re search

interests include power electronics, renewable energy conversion systems, and electro-mobility. Dr. Kouro is founding

member and Principal Investigator of the Advanced Center of Electrical and Electronics Engineering (AC3E) and of the

Solar Energy Research Center (SERC-Chile), both recognized as research centers of excellence in Chile. He has coauthored

one book, 7 book chapters and over 170 refereed journal and conference papers. He has served as Guest Editor of Special

Sections in the IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics. Dr. Kouro is

Chair of the Chile Section Chapter of the IEEE Power Electronics Society, and member of the Board of Directors of the

Solar Energy and Energy Innovation Committee of CORFO. Dr. Kouro received the 2018 IEEE-AIE Outstanding Engineer

Award, the 2016 IEEE Industrial Electronics Bimal K. Bose Award for Industrial Electronics Applications in Energy

Systems, the 2015 IEEE Industrial Electronics Society J. David Irwin Early Career Award, the 2012 IEEE Power

Electronics Society Richard M. Bass Outstanding Young Power Electronics Engineer Award, the 2012 IEEE Industry

Applications Magazine 1st prize paper award, the 2011 IEEE Transactions on Industrial Electronics Best Paper Award, and

the 2008 IEEE Industrial Electronics Magazine Best Paper Award. Dr Kouro has been included in the 2018 Clarivate

Analytics Highly Cited Researcher List.


IEEE Prize Ingeniero Eminente de Latinoamérica 2019

PhD. Pablo A. Estevez

Pablo A. Estévez received his professional title in electrical engineering (EE) from Universidad de Chile, in 1981,

and the M.Sc. and Dr.Eng. degrees from the University of Tokyo, Japan, in 1992 and 1995, respectively. He is a

Full Professor with the Electrical Engineering Department, University of Chile, and former Chairman of the

Electrical Engineering Department in the period 2006-2010. Prof. Estévez is one of the founders of the

Millennium Institute of Astrophysics (MAS), Chile, which was created in January 2014. He is currently leading

the Astroinformatics/Astrostatistics group at MAS. He has been an Invited Researcher with the NTT

Communication Science Laboratory, Kyoto, Japan; the Ecole Normale Supérieure, Lyon, France, and a Visiting

Professor at the Pantheon-Sorbonne University, Paris, France, and the University of Tokyo, Tokyo, Japan. Prof.

Estévez is an IEEE Fellow. He served as President of the IEEE Computational Intelligence Society (CIS) for the

term 2016-2017, Vice-president of Members Activities (2011-2014), CIS ADCOM Member-at-Large (2008-

2010), CIS Distinguished Lecturer (2006-2011) and as an Associate Editor of the IEEE Transactions on Neural

Networks (2007-2012). Prof. Estévez served as conference chair of the International Joint Conference on Neural

Networks (IJCNN), held in July 2016, in Vancouver, Canada, and general co-chair of the 2018 IEEE World

Congress on Computational Intelligence, IEEE WCCI 2018, held in Rio de Janeiro, Brazil, in July 2018. He is

the recipient of the 2019 IEEE CIS Meritorious Service Award. Prof. Estévez has co-authored more than 150

articles in journals and conferences, including a recent paper published in Nature Astronomy. His current research

interests include big data, deep learning, neural networks, self-organizing maps, data visualization, feature

selection, information theoretic-learning, time series analysis, and advanced signal and image processing. One

of his main topics of research is the application of machine learning and computational intelligence techniques

to frontier research in astrophysics and biomedical engineering.


IEEE CHILECON 2019

IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS

ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES

ORGANIZATION

HONORARY PRESIDENT OF THE CONFERENCE

Dr. René Nóbile Aguilera (Q.E.P.D), Professor Universidad de Chile, Past President of IEEE Chile Section

General Chairs, Conference Co- Presidents:

José Ceroni, Claudio Cubillos, Gastón Lefranc H.

Pontificia Universidad Católica de Valparaíso, Chile. IEEE Chile / ACCA

Email: [email protected], [email protected] Email: [email protected]

International program Committee Chairs IPC:

Claudio Cubillos, PUCV, Mario Fernández F. U. de Talca, ACCA, Gastón Lefranc H., PUCV, IEEE, ACCA Cristián Durán, U. Bío-Bío, Carlos

Muñoz, U. de la Frontera, Ernesto Rubio, U. Bío-Bío

Patrocinadores de IEEE Chilecon2019

Asociación Chilena de Control Automático ACCA President: Mario Fernández IEEE

Consejo Cono Sur, IEEE Consejo Chile: Gastón Lefranc IEEE Chilean Chapter on

Control Systems Chair: Gastón Lefranc IEEE Chilean Chapter on Systems, Man and Cybernetics: José Ceroni

mailto:[email protected]


http://www.ieeechile.cl/

http://ieee-ica-acca2018.ubiobio.cl/


International program Committee Members IPC:

Cristhian A. Aguilera

Héctor Allende-Cid Ignacio Araya Ignacio Araya Gino Astorga Karina Barbosa

Camila Bascur Miguel Bustamante Guillermo Cabrera Guillermo Cabrera Carlos Cárdenas M.

NicolÁs Caselli José Ceroni Díaz Hector Cornide Claudio Cubillos Claudio Cubillos

Claudio Cubillos

Felipe Diaz Cristian Duran-Faundez Cristian Duran-Faundez Antonio Faúndez-Ugalde Mario Fernandez

Mario Fernandez Cristian Galleguillos Alvaro Gomez Victor Grimblatt Franco Guidi-Polanco

Maicholl Gutiérrez Pamela Hermosilla Diego Herrera Adrian Jaramillo Hector Kaschel

Gaston Lefranc

José Isaac Lemus Romani Rodrigo Martinez Rafael Mellado Rafael Mellado Jenny Morales

Mauricio Moyano Castillo Carlos O Munoz Poblete Olivares Ordenes Román Osorio Leslie Perez

Ricardo Perez Daniela Quiñones Daniela Quiñones Andres Ramos Antonio Rienzo Renato

Marco E Rivera Abarca

Ernesto Rubio Ernesto Rubio Ernesto Rubio Agustin Salas-Fernández Gustavo Scaglia

Gustavo Scaglia Ismael Soto Alvaro Torres Katherine Valencia Emanuel Vega Mena

Rodolfo Villarroel Eliana Vivas Pat Wheeler

Reviewers:

Adrian Carrillo Alan Cuevas M

Alberto Duran Alberto Sanchez

Alcides Chavez Alejandro Maass Alejandro Rojas Alex

Navas Fonseca Alexandra

Celeste Zegarra Soto Alexi

Delgado Alexis Derlis Gregor

Diomedi Alfredo Renault Lopez

Ali Dehghan Firoozabadi Aline

Neves Allison Jessica Brenis

García Alonso Rodríguez Ana

Aguilera Faraco Ana Sabrina

NiÑo Ruge Andrea del Pozo

Andrea Vázquez Andres Alonso

Andrés Peters Andressa Martins

Oliveira Antonia Murillo

Antônio Medeiros Antonio Rienzo Antonio-Marco Pantaleo

Ariel Guerrero Ariel Villalon

Arturo Curiel Arturo González

Arturo Rodriguez Ashraf W

Khir Belen Hirmas Billy Mark

Peralta Marquez Bruno Riccelli

Dos Santos Silva Camila Rojas

Betancourt Carlos Álvarez

Carlos Árias Carlos Baier Carlos

Benavides Carlos Cerda Carlos

Loza Carlos Mariscal Carlos

Montiel Carlos Muñoz-Poblete

Carlos R. Baier Carlos Valle

Carolina Zambrano Cecília F. Morais Cesar Azurdia Meza

César Echeverría César Silva

Cinthia Itiki Claudia Durán

Claudio Carvallo Claudio

Cubillos Claudio Gutierrez-Soto

Claudio Valencia Clauirton

Siebra Constantijn Langedijk

Cristhian Quezada Viñanzaca

Cristian Ahumada Cristian

David Bedoya R. Cristian

Pineda Cristóbal Andrade

Cristóbal Garrido Daniel

Aquino Carvallo Daniel

Cardenas Daniel Eduardo Sánchez Daniel Flores V. Daniel

Fontte-Jalil Daniel Icaza Daniel

Montecinos Daniel Narvaez

Daniel Rivera Dante Elias Darío

Valdés Darwin Aguilar Davi

Bibiano Brito David Zabala

David Zabala-Blanco Deyvid

Silva Dhanasekar Ravikumar

Diego Altamirano Hernandez

Diego Aracena Pizarro Diego

Aranda Diego Benitez Diego

Burgos-Pineda Diego Morales

Diego Palacios Diego Rojas Diego Sanchez Douglas Pereira

Dias E. P. Leiva-Lobos Edgar

De Jesus Vazquez Edgar

Maqueda Edson Rodrigo

Fernandez C Eduardo Adrian

Ortigoza M Eduardo Costoya

Eduardo Espinosa Edward

Andrés González Ríos Efraín

Ibaceta Elizabeth Vidal Enrique

Buzarquis Enrique Espina

Enrique San Juan Erick Blanco

Erick Sierra Ernesto Rubio Esau

Figueroa Escoto Esteban

Cristaldo Estela Riveros Ever Diaz Ever Diaz Cristaldo F. A.

Morales Fabio Bertequini Leão

Fabricio Salgado Fabricio

Yepez Federico Peralta Felipe

Arancibia Carrasco Felipe

Besoain Felipe Sarmiento-

Delgado Félix Fernández Felix

Rojas Félix Rojas Fernanda

Kitano Fernando Fuentes-

Peñailillo Fernando Herrera

Fernando Jurado Pérez

Fernando Lino Fernando

Morales Fernando Palacios

Francisco Fidel Macias Aguilera Francisco Pedreros Francisco

Vargas Franco Rivera-Pino

Fredi Palominos Gabriel A.

León-Paredes Gabriel Diaz

Gabriel Droguett Gabriel

Salazar Gabriela Álvarez

Ganesh Kumar S Ganesh Kumar

Srinivasan Gaston Lefranc

Gerardo Blanco German

Arevalo Gilberto De Melo

Junior Glen Farivar Gonzalo

Carvajal Gonzalo Nápoles

Guilherme Alencar Guillermo

Andres Jimenez E Guillermo Escrivá-Escrivá Guillermo

Gajardo-Miranda Guillermo

Jiménez Estévez Guillermo

Jiménez-Estévez Guillermo

Ramirez A. Guillermo Ramírez

A. Gustavo Bittner Gustavo

Gatica Gustavo Schleyer H. R.

Ponce Hector Chavez Hector

Kaschel Higinio Alberto

Facchini Huber Nieto-Chaupis

Hugo David Calderon Vilca

Hugo Garcés Hugo Muñoz Ícaro

Araújo Ismael Lopez-Juarez Ismael López-Juárez Ismael

Soto Ismael Soto Gomez Ivan

Iraola-Real Jack F. Bravo-

Torres Jaime Molina Jaime

Rohten James Arredondo

Mamani Javier Muñoz Javier

Pereda Javier Rebolledo Javier

Torres Javiera Meneses-Silva

Javiera Munizaga Jean-Michel

Clairand Jesus Martinez Patiño

Jesús Martínez Patiño Jimmy

Andres Zamora Borquez Jimmy

Gutierrez-Bahamondes João

Marcelino Pacheco Neto Johny Montaña Jonathan Matías Palma

Olate Jordan Salgado Jorge

Alvarez Jorge Gomez Jorge

Mendoza Baeza Jorge Molina

Jorge Molina Jorge Molina

Jorge Portilla Jose Alejandro

Jimenez Segura Jose Andrés

Chaves Osorio Jose Dario

Calderon Ortiz José Mardones

Jose Merced Lozano García José

Ponce Ramírez José Rodríguez

José Rojas José Troncoso

Joselyne Andramuño Joshua

Triana Juan Aguero Juan Bernardo Gómez Mendoza Juan

C. Agüero Juan Carlos Acosta

Juan Carlos Aguero Juan Carlos

Agüero Juan Carlos Soto

Bohorquez Juan García

Hernández Juan Gordillo Sierra

Juan Manuel Jr. Calle Gómez

Juan Sebastian Gonzalez S Julio

Pacher Karen Moposita Karina

A. Barbosa Keyla Virginia

Checa Roman Kevin Cikel

Kineret Serebrinsky Kleber

Silva Krzysztof Herman Larissa

Peres Leonardo Carvalho Leonardo Comparatore

Leonardo Santiago Benitez P

Leonardo Santiago Benitez S

Letícia Oliveira Liliana Melissa

Guerra Pizango Liz Eda

Delgado Alcaraz Lorenzo

Reyes-Chamorro Loreto

Gonzalez Luis Aravena-Muñoz

Luis Cid Luis Córdova Luis

Eduardo Palomino Luis

Hernández Luis Ramon

Merchan Villalba Luis Togo

Arredondo Luzmila Liza Neciosup Maira Santacruz

Magno Ayala Silva Malena

Loza Manuel Gonçalves Da

Silva Neto Manuel Navarro

Marcela Jamett Marcelo Cortes-

Carmona Marco Briceño-León

Marco Fernández Marco Rivera

Marco Toledo Marcos

Espindola Maria Camila

Ceballos Ruiz Maria Coronel

Maria Esther Roncal Moscol

Maria Eusebia Guerrero

Sanchez María José Castilla

Maira Santacruz Maria Paz Dominguez Mariana Guimarães

Mario Arzamendia Mario

Fernandez-Fernandez Mario

Fernández-Fernández Mario G.

Borja Borja Mario Navarrete

Mario Peña Mario Peña-Cabrera

Mario Ruiz Matias Diaz Matías

Díaz Matias Malhue Matías

Urrutia Ortiz Matíaz Díaz

Mauricio Montanares Mauricio

Muñoz Mauricio Osses Mauro

Rivadeneira Mayerli Montes-

Parra Mayra Milagros Gamarra

Lázaro Merlin Majano Miguel Bustamante Miguel Suárez

Milton Gonzales-Macavilca

Milton Román-Cañizares

Narciso López-López Nathalie

Risso Nelson Aros Nelson

Cisneros Nelson Sepúlveda

Nicolas A. Barriga Nicolas

Cornejo Nicolas Esquivel

Nicolas Hernandez Nicolás

López Nicolas Rebolledo

Nicolás Soto-Muñoz Nino Vega

Noel Perez Norelys Aguila

Camacho Orietta Nicolis

Orlando Philco Orlando Urquijo Oscar Briones Otavio Noura

Teixeira Pablo Adasme Pablo

Alarcon-Sandoval Pablo Bravo

Pablo Chandía Pablo Inzunza

Pablo José Prieto Entenza Pablo

Palacios Pablo Parra Pablo

Prieto Pablo Roncagliolo Pablo

Sánchez Razo Pablo

Valenzuela-Toledo Pablo

Valeria-Aguirre Pablo Venegas

Pamela Guevara Paola Leon

Patricio A. Mendoza Araya

Patricio Gaisse Patricio Galdames Patricio Mendoza

Araya Patricio Mendoza-Araya

Patricio Varas Paúl Díaz Paul

Diaz Zuñiga Paúl E. Vintimilla-

Tapia Paula Garcia Paulo

Guerra-Terán Pedro Escárate

Pedro Gabriel Rotta Saavedra

Pedro Melin Rafael Álvarez

Rafael Mellado Rafael Nilson

Rodrigues Rafael Orellana

Rafael Orellana Prato Ramzi

Haraty Raúl Amarilla Raul

Carrasco Raul Gregor Raul

Haro-Baez Renato Milhomem Oliveira Rene Carrera Ricardo

Albornoz Ricardo Alfredo Cajo

Diaz Ricardo Enrique Pérez

Guzmán Ricardo Francisco

Alonso C Ricardo Leite Ricardo

Lizana Ricardo Lizana F

Ricardo Ñanculef Ricardo

Oliveira Ricardo Sá Ricardo

Santos Richard Quevedo

Richard Ríos Roberto Cardenas

Roberto Tovar Robin De Keyser

Rodney Damian Fariña

Martínez Rodolfo Anibal Lobo

Rodolfo Canelon Rodolfo Lobo Rodrigo Aliaga Rodrigo

Carvajal Rodrigo dos Passos

Roger Schurch Roman Lara

Roman Osorio-Camparan

Roman Osorio-Comparan

Roman Osorio-Comparán

Rosalba Guerrero Aslla Rubén

Alarcón Rudel Huancas Sam

Jeong Samuel Montejo-Sanchez

Santiago Cristobal Perez

Sebastián Llano Sergio Cordero

Sergio Toledo Sophia Sánchez

Tiago Honorato Tomás Lara

Tomas Sepulveda Tomislav Roje Godoy Valeska Galvez

Víctor Pizarro-Céspedes

Victorio Oxilia Vijayaraja L

Viviana Silva Washington

Fernandez William Ipanaqué

William Ipanaque Alama

Winícius Latrônico Tôrres

Xavier Noboa-López

Yamisleydi Salgueiro Sicilia

Yuzo Iano


GENERAL PROGRAM

TRACKS

IEEE Chilecon2019

Track # Track name Papers

1 Aerospace remote sensors GRSS 37, 47, 208, 268

2 Agrofoods 8, 105, 120, 152, 190

3 Automatic Control, Process Control 99, 132, 135, 135, 199, 200, 266

4 Biomedical Engineering 14, 15, 64, 78, 83, 89, 97, 101, 122, 126, 141, 159, 162, 163, 164, 170, 171, 207,

221, 227, 258

5 Computer Networks 21, 49, 53, 142

6 Computer Science, Software, Informatics 5, 18, 23, 31, 95, 146, 151, 154, 165, 168, 176, 178, 198, 205, 211, 230, 243, 247,

256, 257

7 Control Theory and Applications 40, 57, 65, 73, 75, 76, 77, 79, 85, 88, 93, 96, 110, 121, 129, 143, 150, 179, 181,

195, 220

8 Energy and Power Systems

6, 20, 22, 24, 25, 36, 38, 43, 50, 51, 56, 62, 71, 87, 94, 111, 112, 114, 123, 137,

138, 144, 145, 161, 186, 189, 191, 192, 194, 204, 209, 210, 214, 229, 232, 239,

252, 260, 261

9 Engineering Education 4, 67, 68, 92, 113, 115, 116, 148, 167, 173, 180, 206, 225, 237, 241, 246

10 Industry 4.0 Automation. FMS 28, 185, 259

11 Information Technologies and Communication

Systems 9, 12, 19, 27, 30, 72, 91, 102, 213

Internet of things IoT 11, 48, 55, 157, 196, 202, 231

13 Other topics 100, 107, 117, 128, 149, 155, 156, 218, 255, 267

14 Power Electronics 1, 2, 3, 7, 42, 54, 60, 61, 70, 103, 106, 108, 109, 125, 139, 147, 172, 174, 184,

188, 203, 219, 234, 236, 240, 249, 250, 251, 253, 254, 262, 263

15 Production and Industry 215, 119, 182

16 Robotics, Artificial Intelligence and Vision 13, 39, 41, 52, 59, 98, 130, 131, 140, 166, 216, 222, 223, 224, 233, 238, 245

17 Signal and Image Processing 16, 33, 45, 58, 183, 201, 264, 265

18 Humanitarian Technology 80, 81, 82, 28, 153, 193, 269


GENERAL PROGRAM

TUESDAY OCT. 29

IEEE Chilecon 2019 Tue 29 Oct

Hora Room 1 Room 2 Room 3 Room 4 Room 5 Room 6

9:00 Inauguración Rector, Decano, IEEE Ministro de Ciencia y Tecnología

9:30 Plenaria 1: Ministro de Ciencia y Tecnología, Andrés Couve

10:00 Café

10:30

Keynote speaker 1 Luis Kun : Social implications of the Technology 2

Fernando Guarín; Technologycal Transfer

Keynote speaker 3: Gustavo Giannattasio. The

challenges of Internet of things, security and Blockchain

Keynote speaker 4: Samir Kuoro. Challenges,

Opportunities and trends in photovoltaic energy conversion systems

Keynote speaker 5: Fernando Passold. Deep Leaning: what is it, types,

challenges and what to expect. An overview from the point of view of the

robotics area

Keynote speaker 6: Marcos Díaz. SUCHAI space

program: potentialities of nano-

satellites

Keynote

speaker 7:

Cristian Rusu

Computational

Studies of

Gravitational

Lenses

Observatory

of Japan

11;30 Mesa redonda: Luis Kun, Fernando Guaría, Víctor Grimblatt. Tecnología y el cambio Global

12:30 Lunch

14:00 Session 1 Track 8 Energy and Power

Systems Session 2 Track 14 Power

Electronics Session 3 T 4

Biomedical Engineering

Session 4 T7 Control Theory and

Applications

Session 5 T 6 Computer Science,

Software, Informatics

Session 6 T16 Robotics, Artificial

Intelligence and Vision

145, 87, 214, 38, 71, 204, 210 253, 109, 1, 54, 249, 250, 60 159, 164, 171, 207, 78,

170, 227 96, 65, 75, 129, 85,

220, 76

178, 31, 146, 18, 243, 95,

168

130, 98, 131, 140, 13, 52

16:00 Coffee Break

16:30 Session 7 Track 8 Energy and Power

Systems Session 8 Track 14 Power

Electronics Session 9 T 4

Biomedical Engineering

Session 10 T7 Control Theory and

Applications

Session 11 T6

Computer Science,

Software, Informatics

Session 12

T16 Robotics, Artificial

Intelligence and Vision

239, 36, 186, 252, 260, 261, 112 262, 147, 70, 106, 236, 184,

240

14, 15, 126, 163, 162,

258, 101

73, 179, 88, 77, 110,

143, 57

5, 205, 151,

230, 257, 165, 23

245, 41, 59,

238, 224, 223, 166

18:30 Fin

18:45 Cocktail Inauguración

Conference Opening Decano José Ceroni, PUCV, Co-President Claudio Cubillos, Co-Presidente del Congreso: Gastón Lefranc, IEEE Consejo Cono

Sur, Co-Pres. Presidente de ACCA: Mario Fernández Plenary talk: Ministro Andrés Couve

Keynote 1: Dr. Luis Kun President IEEE EDS Keynote 2: Dr. Fernando Guarín,

Discussion Panel: Tecnología y el clima (COP25)

Keynote speaker 3: Gustavo Giannattasio Keynote speaker 4: Samir Kuoro. Keynote speaker 5: Fernando Passold.

Keynote speaker 6: Marcos Díaz. Keynote speaker 7: Mario Peña

Keynote speaker 8: Pamela Guevara. Keynote speaker 9: Pablo Estevez Keynote speaker 10: Rafael Sotelo.

Keynote Speakers 11: Juan Perdomo, Keynote Speakers 12: Cristián Edouard Rusu


GENERAL PROGRAM

WENNESDAY 30 IEEE Chilecon 2019

Hora Room 1 Room 2 Room 3 Room 4 Room 5 Room 6

9:00 S13 T8 Energy and Power Systems

S14 T14 Power Electronics

S15 T13 OthersTopics

S16 T2 Agrofoods S17 T9

Engineering Education

S18 T18 Signal and Image Processing

137, 51, 189, 194, 111 3, 61, 251, 254, 188 267, 149, 255, 117, 128 190, 8, 120, 105, 152, 167, 67, 241, 148,225 183, 16, 33, 58

10:30 Café

11:00

Keynote speaker 8: Mario Peña. Towards to a Society of

4.0 and its technological partners

Keynote speaker 9: Pamela Guevara.

Methods for the study of brain connective

based on diffussio MR1

Keynote speaker 10: Pablo Estevez. Big Data

Challenges and Deep Learning Applications

to Astronomy

Keynote speaker 11: Rafael Sotelo.

Quantum Computing: Why, Home, What

Keynote Speakers 12: Juan Perdomo,

Silicon Industry: day

to day life of a layout design

12:30 Almuerzo

14:00 S19 T8 Energy and Power

Systems S20 T14 Power

Electronics

S21 T3 Automatic Control, Process

Control

S22 T18 Humanitarian

Technology

S23 T9 Engineering Education

S24 T11 Information Technologies and Communication

Systems

114,144,22,56,94,138 103, 108, 125, 174, 2,

139 266, 132, 99, 200, 199,

135 153, 80, 82, 81, 193

68, 246, 206, 115, 237, 180

136, 29, 90, 63, 213, 102, 12

16:00 Café

16:30 S25 T8 Energy and Power

Systems S26 T4 Biomedical

Engineering S27 T7 Control Theory

and Applications

S28 T6 Computer Science, Software,

Informatics

S29 T12 Internet of things IoT

S30 T11 Information Technologies and Communication

Systems

6, 123, 43, 62, 20, 191, 24 141, 122, 221, 89, 64,

97, 83 121, 195, 79, 40, 150,

93, 181 154, 176, 247, 256,

211, 198 196, 202, 48, 55, 11,

157, 231, 30, 9, 72, 19, 27, 91

18:30 Fin Reunión Consejo Cono Sur Reunión Ramas IEEE Cono Sur 19:00 Banquete Premación

GENERAL PROGRAM

THURSDAY 31 IEEE Chilecon 2019 Hora Room 1 Room 2 Room 3 Room 4 Room 5 Room 6

9:00 S31 T8 Energy and

Power Systems S32 T14 Power Electronics

S33 T15 Production and Industry

S34 T13 Others Topics S35 T9 Engineering

Education

S36 T16 Robotics, Artificial Intelligence and

Vision

50, 161, 25, 232 203, 219, 263, 234 259, 185, 28 107, 156, 155, 218,

100 92, 116, 4, 113, 173 39, 216, 233, 222

11:00 Café

11:30 S37 T8 Energy and

Power Systems S38 T14 Power Electronics

S39 T10 Industry 4.0

Automation. FMS S40 T17 Signal and

Image Processing

S41 T1 Aerospace

remote sensors

GRSS

S42 T5 Computer

Networks

209, 229, 192 42, 7, 172, 125 215, 119, 182 265, 201, 264, 45 47, 268, 37, 208, 142, 21, 49,

12:50 CLAUSURA

13:30 Turismo Visita a Viña en Casablanca


PROGRAM BY TRACKS

TRACK 1 Session 41

S41 T1 Thu 31 Oct S41 T1 Aerospace remote sensors GRSS Room 5

Hora Paper Authors, title Country

11:30 47 Johny Montaña, Jorge Ardila, Roger Schurch and Alejandro Angulo. THUNDERSTORM DAYS OVER

CHILEAN TERRITORY BASED ON WWLLN DATA Chile

Abstract: Based on World Wide Lightning Location Network for 2012-2017 data, we describe the spatial

and temporal distribution of lightning activity over Chilean territory. The thunderstorm days per year was

computed using a threshold value of the human observation of 17.5 km based on the analysis of

meteorological stations in Argentina and Poland. The maximum thunderstorm days were found in

northeastern Chile in the Arica region, and specific behavior for Western Patagonia was evidenced. The analysis of lightning activity for every season of the year and the distribution of lightning during the day

were computed and presented.

268

Alan Cuevas M, Ever Diaz and Jaime Molina. SIMULATION OF BACKGROUND PRODUCED BY GALACTIC PROTONS COLLIDING WITH THE SATTELLITE USED IN THE DARKNESS

EXPERIMENT

Paraguay

Abstract: This work will determine the feasibility of the observation of the 3.5 KeV X-Ray line attributed to

the sterile neutrino as a candidate for dark matter. This will be done by simulating the effects produced by the impact of galactic protons on CCD detectors located on the satellite corresponding to the experiment

DarkNESS to be launched in 2021. The Geant4 toolkit was used for the simulation using as input the proton

energy spectrum obtained from the CREME-96 phenomenological model.

37 Francisco Granda, Diego Benitez and Fabricio Yepez. On the Analysis of Strong Earthquake Seismic Signals

Using Variational-Mode Decomposition Ecuador

Abstract: In this paper, the use of Variational-mode decomposition (VMD) is proposed as an alternative technique for the analysis of the seismic accelerogram signals related to strong earthquake events. The

proposed method was tested using several accelerogram signals recorded at different stations during the Mw

7.8 Pedernales earthquake, Ecuador in April 2016. Signal decomposition analysis allowed to create heat

maps for better visualization and interpretation of the earthquake’s travelling wave and the attenuation

frequency phenomena. The results obtained agree with seismic studies about the Pedernales earthquake.

208 Marco Fernández and Claudio Valencia. BOTDA sensor simulation for the Measurement Stress and

Temperatures Chile

Abstract: This paper presents the simulation of a Brillouin optical sensor distributed for the measurement of

stresses and temperatures, considering that currently there is no simulation tool that allows evaluating the

performance of these types of sensors when some techniques aimed at increasing its detection range are

applied. The Brillouin Optical Analysis in the Time domain (BOTDA) allows analyze the effects of Pre-

Amplification, First Order Raman Amplification and Optical Coding of the pumping signal in a common simulation scenario. The simulation shows that the best results, in terms of the probe signal power (range),


TRACK 2 Session 16

S16 T2 Wed 30 Oct S16 T2 Agrofoods Session Chair: Jean-Michel Clairand Room 4


9:00 190 Raul Carrasco. El mimbre, un material fascinante y sustentable para establecer una colaboración dual exitosa entre artesano y diseñador

Chile

Abstract: This research tries to give a general look at the current context of the wicker industry and to show the

excellent properties that this plant possesses, without detracting from its direct competitors such as rattan, bamboo and other fibers, as a sustainable material for the manufacture of products. for the home or to provide solutions to

design needs, whether in decoration, such as the search for functional products for the home, in Chile today. It is

also importantly how these advantages can be used to establish a collaborative relationship between the craftsman,

who has in his hands the natural talent inherited from generation to generation to manufacture and mold this fiber

as he wishes, and the designer, an experienced professional who manages the current techniques of creation, design and ergonomics, as well as the needs and segments of potential consumers in the current market.

8 Juan Maza and Daniel Icaza. Wireless system for the Control and Real Time monitoring of Agricultural Areas of

Arenillas Canton in Ecuador Ecuador

Abstract: This document describes the design and implementation of a wireless sensor network applied in the

conventional agriculture of Arenillas Canton, Province of El Oro-Ecuador; this monitoring and control system is

capable of measuring and transmitting the collected values of temperature, soil moisture , wind speed, radiation

and detection of pests, will also be coupled an automatic sprinkler irrigation system, where its operation is based mainly on the comparison of the data obtained by each of the sensors that are located throughout the crop obtaining

greater efficiency and less waste of water and supplies. The topology and the communication architecture between

the coordinating nodes, router nodes and sensor nodes is based on the ZigBee standard, with this system to be

implemented, it will allow us to efficiently use the natural resources that surround us such as the earth, water, sun,

wind and rain that combined with inputs (fertilizers) would help us improve the reliability, sustainability, intensification, green growth and sustainable development of agricultural production.

120

Karen Moposita, Xavier Noboa-López, Jean-Michel Clairand, Marco Briceño-León, Guillermo Escrivá-Escrivá and Antonio-Marco Pantaleo. Design of a Monitoring System of a Farm for Energy Efficiency Purposes Ecuador

Abstract: The monitoring of industry processes can optimize the use of resources and improve its efficiency. In

dairy farms, several parameters from the processes must be monitored. This paper proposes the design of a monitoring system for a farm that produces dairy products and jams. Several similar studies are analysed. Based

on this, and on the farm characteristics, a novel design is developed. The principal benefits of the system are also

exposed.

105

Keyla Virginia Checa Roman, Mayra Milagros Gamarra Lázaro ,Juan Carlos Soto Bohorquez ,William Ipanaque Alama,Gerson La Rosa Lama. Preliminary study of the relation between the content of cadmium and the

hyperspectral signature of organic cocoa beans. Perú

Abstract: The contamination of soils by heavy metals is a current problem for agricultural production. Rapid access and reliability to heavy metal concentration such as cadmium is crucial for international trade. In the present

study, visible and near infrared (VIS-NIR) spectroscopy, combined with linear and statistical methods, were used

to predict the cadmium concentration of organic cocoa bean samples. Partial Least Square Regression (PLSR) and

Support Vector Regression (SVR) were implemented to estimate the content of this heavy metal from

hyperspectral imaging and chemical analysis. Competitive Adaptive Reweighted Sampling Method (CARS) and Jackknife method were used for selecting optimal wavelength. The SVR model performed satisfactorily with the

use of 45 resulting wavelengths from optimization using CARS and the Jackknife method, with an adjusted

coefficient for the test of 0. 9401 and an RMSEP of 0.2594. Based on the results, it was concluded that VIS-NIR

spectroscopy combined with CARS-Jackknife methods seems to be a fast and effective alternative to classical

methods for predicting the concentration of cadmium in organic cocoa beans.

152

Fernando Fuentes-Peñailillo, Samuel Ortega-Farias, Daniel de la Fuente-Sáiz and Marco Rivera. Digital count of

Sunflower plants at emergence from very low altitude using UAV images Chile

Abstract: Currently, the implementation of new technologies for agriculture has gained relevance in the

agricultural sector. In this sense, during the last decade, the use of aerial images has allowed to study the different factors related to production with a high level of detail, unlike traditional monitoring techniques, since these allow

large areas to be analyzed in a short time. Aerial images are commonly obtained from satellite platforms because

they have a low cost, but low spatial and temporal resolution limit their use in agricultural applications. For this

reason, the use of unmanned aerial vehicles has played a leading role in the study of the agronomic variables of

interest, because it allows obtaining information at any time and at a higher resolution. However, these images can offer more information that must be explored through a set of analysis techniques. An application that has

been little explored corresponds to the population count, a factor that is determinant to obtain production estimates ,

but the difficulty to properly segment the rest of the information in the images has posed a challenge. For this

reason, the following work presents a methodology based on spectral indexes and digital image analysis .


TRACK 3 Session 21

S21 T3 Wed 30 Oct S21 T3 Automatic Control, Process Control Session Chair: Room 3


16:30 266 Maria Eusebia Guerrero Sanchez. Robust Control for a Quadrotor Transporting a Payload Mexico

Abstract: This paper presents the control of a quadrotor [5] develops a nested saturation control law capable of with

a cable-suspended payload. The proposed control structure is a hierarchical scheme consisting of an EnergyBased

Control (EBC) to stabilize the vehicle translational dynamics and to attenuate the payload oscillation together with a PD controller to control the quadrotor rotational dynamics. The payload swing control is based on an energy

approach and the passivity properties of the system translational dynamics. The main advantage of the proposed

EBC strategy is that it does not require excessive computations and complex Partial Differential Equations (PDEs)

for implementing the control law. Stability proofs based on the Lyapunov theory for the controller design are

presented. Numerical simulations demonstrating the effectiveness of the controller are provided.

132 Kineret Serebrinsky, Belen Hirmas, Javiera Munizaga and Francisco Pedreros. Model structures for batch and fed-

batch ethanol fermentations Chile

Abstract: Parameter estimation is one of the most challenging steps while modelling a biological process, due to the

inherent complexity of this type of processes and the difficulty in obtaining reliable experimental data. A common modelling practice in this area is to use a batch culture to estimate model parameters and then use these values to

simulate and optimize a fed-batch culture. Most of the times this approach is inadequate, resulting in unreliable

model predictions. In this study, we analyse and reparameterized batch and fed-batch kinetic models taken from the

literature. A sensitivity analysis applied to the original models showed that most estimated parameters, using data

at different temperatures, were unidentifiable, unsensitive and not significant. Applying HIPPO, an automatized iterative reparameterization procedure coded in MATLAB, we searched for model structures, for both batch and

fed-batch cultures, with identifiable, sensitive and significant estimated parameters. After the analysis of the models,

we found a single model structure, suitable for both type of cultures, with two estimable parameters that showed a

good fit at all temperatures. Nevertheless, a residual analysis showed that the parameters are positively correlated,

indicating that apparently the model needs another degree of freedom.

99

Juan Carlos Soto Bohorquez, William Ipanaqué Alama, Miguel Angel Delgado Saavedra, Edson Ayrton Effio

Velasco and Ney Margarita Farfán Marchán. Determination of Moisture Content in Concrete Aggregates using

Machine Learning algorithms and Hyperspectral Imaging

Perú

Abstract: The determination of moisture content in various economic areas and in different industrial processes, has

been a parameter of analysis and study over many years because it serves to estimate the quality, durability and

other parameters important commercially and environmentally important. The objective of this work is the measurement of moisture in real time, in order to obtain a higher quality product for the import and export of

concrete.

200 Edson Rodrigo Fernandez Cornejo, William Ipanaqué, Ricardo Alfredo Cajo Diaz and Robin De Keyser. Classical

and Advanced Control Methods Applied to an Anaerobic Digestion Reactor Model Peru

Abstract: In this work, advanced method of process control as Extended Prediction Self-Adaptive Control (EPSAC)

and Non-linear Extended Prediction Self-Adaptive Control (NEPSAC) are implemented and compared with the

traditional PID controller tuned by a novel KC autotuning method and a classical FRtool method. The controllers are designed based on a linear and non-linear reactor model of the Anaerobic digestion pilot plant located in Peru.

199 Rubén Alarcón, Oscar Briones, Nelson Cisneros, Miguel Suárez and Alejandro Rojas. Micro velocimeter for open

channel a simple, robust and economical alternative Chile

Abstract: Research related to hydraulic engineering, particularly related to river infrastructure, have the need to

carry out micro-scale experiments in order to replicate various phenomena, such as river floods, inside an

experimental laboratory micro-channel, under dynamic conditions (flow and level variations) in different sections.

The motivation for the development of this paper is the need to have more than one speed sensor, in such a way of control specific sections inside the micro-channel, however, the acquisition of high-end speed sensors implies high

economic costs, therefore, carrying out the aforementioned or another studies would be difficult to carry out. As a

solution, it is proposed the design and implementation of a micro-velocimeter (MSV) whose operation principle is

based on the operation of a small D.C. motor in generator mode, which its shaft is turned by a small propeller, which

rotates according to the flow inside the micro-channel. The prototype was designed using AUTOCAD software, simulated by SolidWorks software and built by 3D printing. For the implementation, the MSV was calibrated with

respect to an available Acoustic-Doppler Velocimeter (ADV). The voltage signal measured was synchronized and

adjusted by linear regression, in this way, it is guaranteed that the use of the MSV allows the realization of studies

for purposes with required characteristics.

135 Norelys Aguila Camacho and Javier Gallegos. Switched Fractional Order Model Reference Adaptive Control for

first order plants Chile

Abstract: This paper presents a model reference adaptive controller for first order plants with unknown parameters .

The adaptive laws used to estimate the controller parameters are based on fractional differential equations, whose

orders are switched among a fractional value in the interval $\left(0,1\right)$ and $1$ at a certain time instant $T$.

Boundedness of the signals in the resulting controlled system is proved using recent results. A simulation study is

provided to show how the proposed control strategy can improve the behavior of the controlled system and decrease the control energy used, compared to the classic model reference adaptive controllers and fractional order model

reference adaptive controllers with non-switched adaptive laws.


TRACK 4 Session 3

S3 T4 Tue 29 Oct Session 3 T 4 Biomedical Engineering Session Chair: Camila Rojas Room 3


14:00 159 Camila Rojas Betancourt. Neural Network Embedding for RS-fMRI ghraps and phenotype annotations Chile

Abstract: In this work, a computational intelligence method is developed to represent brain connectivity networks

of patients with autism spectrum disorders through the use of resting magnetic resonance imaging. A neural

embedding network is proposed that allows vectorial representation of connectivity networks by fusion of data from two sources, images and annotations of phenotypes. The ABIDE II database is used for embedding network training.

The performance of the proposed model is presented by quantifying the ability of the vectors generated to

discriminate between subjects with disorder and those without.

164

Huber Nieto-Chaupis. Feynman-Theory-Based Algorithm for an Efficient Detaining of Worldwide Outbreak of AH1N1 Virus

Peru

Abstract: Aggressive bacteria do not cause complications in humans but also is highly contagious through the

mechanism of spreading as the one given by the airlines in their international flights. So that it constitutes a potential

cause to produce either continental or intercontinental spreading of virus or bacteria. Because this transportation

involve clearly time and space, in this paper we apply the formalism of Feynman to model the dynamics of virus propagation but emphasizing the rapidity of propagation that to some extent would fit to the Feynman theory and

might yields noteworthy inputs for public health operators.

171

Huber Nieto-Chaupis. The Monte Carlo and Mitchell Criteria Conjunction to Simulate Engineered Nanorobots to

Counteract Virus Colonization Perú

Abstract: We present a computational simulation based on the Mitchell criteria and Monte Carlo by which an

engineered nano robot would play the role of leukocytes with defined capabilities to detain in a consistent manner

any progress of colonization of bacteria. Thus, a theory based on the equation of diffusion and random motility, is

implemented in a machine algorithm in order to test the effectiveness to defeat concrete objectives.

207

Narciso López-López, Andrea Vázquez, Cyril Poupon, Jean-François Mangin and Pamela Guevara. CORTICAL

SURFACE PARCELLATION BASED ON INTRA-SUBJECT WHITE MATTER FIBER CLUSTERING Chile

Abstract: We present a hybrid method that performs the complete parcellation of the cerebral cortex of an individual,

based on the connectivity information of the white matter fibers from a whole-brain tractography dataset. The fibers are grouped into compact clusters and subsequently automatically labeled, aligned and filtered. The method uses

connectivity information of each fiber cluster and solves the overlapping conflicts among cortex sub-parcels

efficiently. The output is the complete labeling of cortical mesh vertices, representing the different cortex sub-

parcels, with strong connections to other sub-parcels.

78

Malena Loza, Ashraf W Khir and Alberto Sanchez. Measuring Regional Wave Speed using a Low Cost Portable

Device Chile

Abstract: This paper presents the development of a portable Pulse Wave Velocity (PWV) measurement device using

a low cost embedded platform. The device employs the second derivative technique to implement the foot-to-foot

method to calculate the time taken for the pressure wave to travel from one sensor to the other. The device allowed to conclude that when an artery exhibits a high level of stiffness the wave speed is also high when compared to an

artery with low stiffness

170

Huber Nieto-Chaupis. Electrodynamics-Based Nanosensor to Identify and Detain Angiogenesis in the Very

Beginning of Cancer Perú

Abstract: We propose the usage of nano devices to identify and detain the progress of angiogenesis in the very

beginning phase of cancer. Essentially, these advanced devices might to recognize anomalous electric fields and

exert electric forces fact that would accommodate those ions by which the electric interaction with the devices would

change the electrodynamics of the charged compounds in the new vessels thereby producing the discontinuation of the progress of angiogenesis. In this manner we expect that the formation of new vessels becomes truncated by

electrodynamics among ions minimizing the probability of a sustainable tumor growth.

227

Miguel Bustamante, Antonio Rienzo, Roman Osorio-Comparán, Ismael Lopez-Juarez, Mario Peña, Francisca Araya

and Gaston Lefranc. Evaluation of Brest Cancer Detection Algorithm Chile

Abstract: In this paper is presented the evaluation of an algorithm for detection of microcalcifications in breast

images, allowing us early breast cancer prevention. The Crème Filter is an algorithm with only one parameter “n”

that permits to observe the texture dependence when the parameter is changed. The evaluation is done by a cancer

expert medical doctor. This algorithm is a new tool for better detecting microcalcifications characteristic of breast

cancer


TRACK 4 Session 9

S9 T4 Tue 29 Oct Session 9 T4 Biomedical Engineering Session Chair: Hector Kaschel Room 3


16:30 14 Malena Loza and Diego Benitez. On the Three-dimensional Finite Element Modeling of the Fingertip

Compression During the Use ofTouch Screens Ecuador

Abstract: Finite element (FE) analysis has become an important instrument that engineers and ergonomic

designers use to develop handle tools with the aim to reduce fatigue and improve comfort for the operators.

The inadequate use of tools, in this case, a touch screen, may lead to many occupational related disorders in

the hand and arm. This paper shows a 3D FE modeling of a fingertip which is composed of bone, soft-tissue,

dermis, epidermis and nail. The model was built using linearlyelastic mechanical characteristics for all the components. Thefingertip is in contact with a touch screen represented by a layerof glass. Stresses produced

over the layers of the skin are reported at different inclination angles as well as deformations produced by the

contact between the fingertip and the screen.

15 Ivan Zamora, Diego Benitez and Manuel Navarro. On the Use of the EMOTIV Cortex API to Control a

Robotic Arm Using Raw EEG Signals Acquired from the Insight NeuroHeadset Ecuador

Abstract: This paper explores the feasibility of using the Emotiv Cortex Application Programming Interface

(API) service to obtain raw sensor signals from the Emotiv Insight NeuroHeadset for the control of a robotic arm. A data acquisition software based on Python was developed to use the service through data streaming in

a Websocket. Raw EEG and motion sensor signals from the headset were processed for event detection.

126 Cristian Ahumada, Hector Kaschel, Roman Osorio-Camparan and Gaston Lefranc. Design of Microstrip Patch Antenna with quarter wave trasformer for 2.4 GHz applied a WBAN

Chile

Abstract: This paper presents a design of microstrip patch antenna with quarter wave trasformer for 2.4 GHz

applied a WBAN (Wireless Body Area Network). The antenna is designed over the operating frequency is 2.4 GHz using the substrate material as FR-4 which has the dielectric constant of 4.3. The designed antenna can

be used for ISM (industrial, scientific and medical) band and UWB applications. The designed antenna has

low profile, low cost, easy fabrication and good isolation. The antenna is designed by using CST simulation

software and designed antenna provides return loss less then -10 dB. The proposed antenna is designed with

the purpose of obtaining a low SAR models of the human body, considering both the electromagnetic effect and the shell model in human tissues.

163 Huber Nieto-Chaupis. Prospective End-to-End Internet of Bio-Nano-Things Network Based in a Machine

Learning Algorithm To Restore the Flux of Insuline in Prediabetic Patients Peru

Abstract: Normally prediabetic patiens need the intake of antidiabetic pharmacology as well as to modify their

lifestyle substantially to reach the normal values of glucose. With the apparition of Internet of Bio-Nano

Things (IoBNT) some functionalities of the human organs might be under an unstoppable surveillance to avoid

and anticipate the apparition of diseases such as the type-2 diabetes. In this paper we propose a Machine Learning algorithm that regulates the flux of granules of insulin inside the pancreatic beta cells. This algorithm

is aimed to run a IoBNT network that store data in the cloud in order to be downloaded by the endocrinologist

whom carries out the task of controlling a nanodevice whose end is to dose the entrance of Calcium 2+ to the

beta cells action that would guarantee the release the granules of insulin. Thus the Machine Learning algorithm

tries to optimize the functionality of the nanodevice to envisage those undesired pile up events that would have adverse effects on the islets of Langerhans. Simulations are presented.

162 Sophia Sánchez and Merlin Majano. Low cost Pulse Oximeter using Arduino El Salvador

Abstract: This work presents the design and construction of a prototype of a pulse oximeter, simple, low cost and easy to use. Which is able to measure heart rate and plethysmography wave for SPO2, continuously and

non-invasively. This article presents in detail the development process, detailing some basic concepts, the

budget, the design of the circuit and the chassis.

258 Daniel Narvaez and Dante Elias. Design of a 3-DOF prosthetic wrist for low-cost transradial myoelectric upper

limb prosthesis Peru

Abstract: This paper presents the design of a 3-DOF prosthetic wrist for transradial myoelectric upper limb

prosthesis that allows the orientation of a prosthetic hand to reduce compensatory movements that cause musculoskeletal problems mainly in the back and shoulder. The device is capable of perform passively

abduction-adduction movements and actively flexion-extension and pronation-supination movements. The

system has a DC motor that transmits power to the active movements and a solenoid for the choice of the type

of movement to be performed. In order to validate the design of the components of the device, calculations

and simulations were carried out by finite elements method to determine deformations, mechanical resistance and fatigue to define the critical components and maintenance periods.

101 Valeska Galvez and Luis Togo Arredondo. Development of a Vestible System for the Early Detection and

Remote Monitoring of Respiratory Pathologies Chile

Abstract: The early detection of respiratory pathologies can help to an opportune treatment, reducing the

number of hospitalizations for more serious respiratory pathologies. As well as remote monitoring of these

pathologies allows avoid the unnecessary exposition of chronic patients to highly infections environments, such as hospital waiting rooms. Within this framework, the following work presents part of the design and

construction of a wearable system capable of measuring physiological variables and displaying them on a

mobile device through its own application.


TRACK 4 Session 26

S26 T4 Wed 30 Oct S26 T4 Biomedical Engineering Session Chair: Antonio Rienzo Room 2


16:30 141 Antonio Rienzo and Claudio Cubillos. Investigation of Gamification Techniques and their Application in

Digital Games for Older Adults. Chile

Abstract: The concept of gamification has increased its importance in the field of research; and its main focus

was in the area of education. However, these studies have not been conclusive in that the performance and

productivity of the students can be improved. For this reason, it was considered opportune to investigate the

gamification techniques in an increasingly relevant sector, such as the elderly (whose number is growing); and where they can offer possibilities to improve the quality of life of these people, in terms of physical well-

being, social inclusion and cognitive improvement. The article summarizes research on gamification and its

potential application in digital games, and how these techniques can impact on the different life activities of

older adults. It includes a systematic review of literature, which reveals trends and gaps in studies and

proposals, on how gamified digital games, increase learning, promote socialization and exercise, and improve their cognitive and psychomotor skills; all within a context of active and healthy aging. The work developed

can be subject to deeper evaluation and analysis, serving as a basis for further research work in the subject.

122 Hector Kaschel and Cristian Ahumada. Security Mechanism to Protect the Privacy and Security of Patients Who have cardiovascular Diseases (ECG)

Chile

Abstract: This paper presents a security mechanism to protect the privacy and security of patients who have

cardiovascular diseases (ECG). New technologies must provide proactive management of well-being and focus on early detection and disease prevention. Wearable and Implantable Medical Devices (WIMD) have

been widely used in the health sector for purposes of monitoring, diagnosis and treatment of diseases, such

as the electrocardiogram (ECG), pacemaker to treat arrhythmias and neurostimulators for epilepsy. Several

research works in the field of computer security have identified serious security and privacy risks in the

WIMD that could compromise the implant and even the health of the patient transporting it. This article analyzes the most relevant protection mechanisms proposed up to now and examines the main mechanisms

of patient safety.

221 Antonio Rienzo and Nicolas Cornejo. Design and Construction of a Prototype Device, for Measurement of

Environmental Variables in a Unit of Critical Patients, in Health Institutions. Chile

Abstract: The article makes an analysis of how environ-mental conditions have been studied, and how they

affect patients in Critical Patient Units (UPC), in order to determine the importance of these physical variables

in health care. A general device model is established as the basis for choosing suitable sensors for the system to be created. And the device for measuring environmental conditions for UPC rooms with the chosen sensors

is developed; which contemplates an interface using the Android platform with Bluetooth protocol. For tests,

the UPC environment is simulated in a Laboratory to carry out the measurements.

89 Sebastián Llano, Viviana Silva and Pablo Roncagliolo. Development and implementation of a surgical

scheduling system at the Dr. Eduardo Pereira Ramírez Hospital Colombia

Abstract: Previously, the Eduardo Pereira Hospital surgical scheduling was registered digitally, but it was

printed on paper for its distribution between the staff members. Its design was unattractive and did not show visual information about the indicators of self-management associated, which were studied with a month of

lag based on the analysis of subsequent statistics.This experience aimed to modify the subprocess of

"Elaboration of the surgical scheduling" of the hospital, through the development of a software that can

register and visualize the daily surgical scheduling in a fast and automatic way, allowing the timely control

of the mentioned indicators. In the organizational context, a methodology based on the concept of Change Management was applied. While the technological side of the proposal was covered with the iterative and

incremental software development methodology, using the Google Apps Script development platform, whose

effectiveness had already been proven with the implementation of a tool dedicated to monitor hospitalization

indicators at the same institution.

64 Mariana Guimarães, Antônio Medeiros, Letícia Oliveira and Ricardo Sá. Metodologia de Criticidade nas

Manutenções em Equipamentos Médicos de Unidades de Terapia Intensiva Brazil

Abstract: O presente artigo aborda conhecimentos teóricos relacionando pontos cruciais da priorização da

manutenção em equipamentos médicos hospitalares focando da nas unidades de terapia intensiva.

97 Andrea del Pozo. Development of a Preliminary Implementation Guide for a statistical data visualization

platform in support of hospital bed management by means of the FHIR standard Colombia

Abstract: In the Chilean health system there are problems to implement health-oriented computer systems

under international interoperability standards, the problem is found in three important concepts which are

"technology, culture and a business model", which could be visualized by studying the particular case within the HEP with which it was analyzed how to develop a statistical analysis platform to support the management

of hospital beds focused on its implementation guide and requirements through the FHIR standard, ensuring

interoperability on the Internet highlighted as the main tool available to both health services and users.

83 Gabriela Álvarez, César Galindo. UV, Juan José Ortega. MINSAL, Alejandra Lozano. Design of a medical

device coding model for the generation of a Chilean nomenclature using SNOMED CT and GMDN. Chile

Abstract: This work focuses on the development of a model for the taxonomic categorization of medical devices, which facilitates the establishment of a codification for the use of the associated ecosystem in health.

The use of terminology produces improvements in the identification of medical devices,

increasing the flow of information between manufacturers and throughout the value chain related


TRACK 5 Session 42

S42 T5 Thu 31 Oct S42 T5 Computer Networks Session Chair: Bruno Riccelli Dos Santos Silva Room 3


11:30 142 Bruno Riccelli Dos Santos Silva, Manuel Gonçalves Da Silva Neto, Danielo Gonçalves Gomes and Paulo

Cesar Cortez. Design of Network Intrusion Detection Systems with under-sampled datasets Brazil

Abstract: Intrusion Detection Systems (IDS) are responsible for monitoring and detecting anomalies in

computer networks. Currently, machine learning techniques have been employed in the development of IDs

and the classifiers performance evaluation in intrusion detection systems is a critical task. Designers should

evaluate a variety of classifiers in a timely manner and thus an approach that leverage the evaluation process and maintains performance and generalization capability is required. In this work, we use a data-driven

approach based on an under-sampling technique to evaluate the performance of classifiers in the detection

of network intrusion. We applied an under-sampling technique in two IDS datasets and evaluated the

performance of 5 (five) classifiers in a 5% dataset portion followed by a validation step in a 2% portion of

the same dataset without overlaps or repetitions. The results indicate that the use of a stratified train/test into under-sampled datasets show stability in the results in relation to the validation subsampling. The use of this

approach allows us to evaluate the classifiers in reduced time, including those considered computationally

costly.

21 Pablo Adasme, Enrique San Juan, Ismael Soto and Ali Dehghan Firoozabadi. Integer Programming Models

for Wireless Networks with Star Backbone Topology Chile

Abstract: In this paper, we propose two mixed integer linear programming (MILP) models for wireless networks (WNs) under star backbone topology configuration. For this purpose, let the graph G(V,E)

represent a WN with set of nodes V and edge set E. Set V represents all nodes (wireless devices) which can

be part or not of the star backbone whereas set E represents the connection links between all pairs of nodes.

Additionally, we consider a set K of users. Only, a subset of nodes from V should be active to form the star

backbone and each user should be connected to a unique terminal (leaf) node. This problem represents a more general variant of a previous work reported in the literature where only a fixed number of nodes from

V is required to be active. Our first model corresponds to a novel Miller-Tucker-Zemlin constrained version

whilst the second one is a novel flow based formulation. Then, we further propose an iterative greedy

algorithm that allows to obtain feasible solutions for the problem.

49 Higinio Alberto Facchini, Santiago Cristobal Perez, Adrián Cárdenas and Mauricio Muñoz. Differentiated

behavior of video traffic in IPv6 multicast networks for IEEE 802.11ac wireless clients Argentina

Abstract: The growing number of multimedia users involves an exponential increase in bandwidth requirements on networks. Consumers are increasingly demanding in terms of quality and performance of

products based on video. Understand the structure of the datagrams of video and the requirements imposed

on the network, will help network administrators to improve traffic in the same. This paper proposes an

experiment of multicast video traffic in a network of a real laboratory as test bed, with a topology in wired

and wireless networks with wireless clients working in the IEEE 802.11ac standard, using IPv4, the Server and Client Software FFmpeg and the traffic analyzer WireShark. The videos were encoded in H.264, H.265,

VP8 and Theora, to assess and understand the impact of different codecs on network traffic. And the

experiments were carried out using a trailer of the movie Star Trek, and alternately for contrast, a video of

a videoconference using Adobe Connect, of the same duration. This work is a continuation of experience

made on wired networks for video traffic with codecs H261, H263 and H264. The conclusions of the work will help to determine the configurations to be taken into account for the adequate management of similar

networks and efficient use of resources available, without compromising the performance and QoS

expected.


TRACK 6 Session 5

S5 T6 Tue 29 Oct Session 5 T6 Computer Science, Software, Informaticss Room 5


16:30 178 Liza Jego, Ismael Gallardo and Felipe Besoain. Developing a Virtual Reality experience with game elements for

tourism: Kayak simulator Chile

Abstract: Several advances have been made in Virtual Reality (VR) technologies allowing users to enjoy different applications and experiences through this immersive technology. In this work, we use the design and creation

methodology to develop a VR Kayak simulator with the aim to represent a local tourist attraction in a virtual world.

This experience is enhanced with information related to activities to highlight the local area, inviting the user to visit

as a tourist. To test the VR experience, we performed usability tests with 70 random volunteers in order to evaluate

the usability and user experience.

31

David Zabala-Blanco, Cesar A. Azurdia-Meza, Ali Dehghan Firoozabadi and Pablo Palacios Jativa. All-optical

Routers Modeled through the Matrix Method with NVidia CUDA Development Framework Chile

Abstract: Optical packet switching (OPS) is a promising technology in order to satisfy the ever-increasing need for

bandwidth. With this technology, data packets, which consist of a header and a payload, are assembled and

transmitted over a wavelength division multiplexing network. Headers are processed electronically in the routers

that comprise the network. This processing must be carried out as quickly and efficiently as possible in order to

avoid packet loss. On the other hand, parallel computing has recently been extended and popularized thanks to the NVidia compute unified device architecture (CUDA) development framework. In this programming paradigm,

several threads run the same code simultaneously in order to reduce the overall processing time. This work shows

that an optical routing algorithm for OPS can perform better under parallel execution, depending on the amount of

data to be processed. A routing method based on simple matrices is presented, and the computation time between a

traditional sequential programming languages (C++), and CUDA C is presented.

146

Claudio Gutierrez-Soto, Arturo Curiel and Patricio Galdames. Exploiting the Use of Similar Past Search Results

Through a Dynamic Cache Chile

Abstract: Search engines are prone to the computation of redundant queries. Without any optimization this can be a

costly procedure; limited processing power is used to compute new responses for queries that have already been

answered. Despite the latter, little work exists on leveraging similar past queries to reduce the engine’s workload

while improving its precision. This paper describes a dynamic cache based on an on-line algorithm, which takes

advantage of similar past queries to reduce the engine’s response times, while simultaneously improving precision. Roughly, the algorithm uses a priority queue to build a dynamic index of past queries, alongside their responses,

where each query’s priority is linked to its overall popularity (the top-K queries along with their results): similar

queries that have appeared multiple times are indexed with a high priority value. This ensures that their results will

be easily recov- erable from the queue without recomputation

18

Karam Al Kontar, Joumana Naji, Freddy Demaine, Salma Sobeh and Ramzi Haraty. A Survey on Mutation Testing

Approaches Lebanon

Abstract: Mutation testing is a fault based testing technique which examines the adequacy of test cases by generating

faulty programs, called mutants, to be run against them. However, one of the pitfalls of mutation testing is its high

computational cost, rendering it impractical for industry use. In this survey, we study mutation generation

techniques, cost reduction methods and test-data generation approaches found in the literature, before presenting

some tools and applications for mutation testing.

243

Hugo David Calderon Vilca, Esau Grover Ocrospoma Callupe, Flor Cagniy Cárdenas-Mariño and Edwin Fredy

Calderon Vilca. Architecture and mobile application with augmented reality, visualizing videos and 3d objects in

museums

Peru

Abstract: This research presents an architecture and a mobile application with augmented reality (MAR), called

MARHN, solving the problem of lack of information in a museum, since objects can be visualized both in videos

and in three-dimensional objects. We report the development process and the functionality of the application, to find

that the application is clear and easy to use. A field study of Natural History Museum of Lima visitors (n = 45) shows that the MARHN application generates satisfaction and ease to learn more about museum objects.

95

Pablo Valenzuela-Toledo, Carlos Cares and Mauricio Diéguez. Search Based Risk Reduction Supporting the

Intelligent Components Selection Process Brazil

Abstract: The problem of selecting software components involve several risk factors. 0ur goal is to formulate a

technique to minimize the risk in the intelligent component selection process. To achieve this goal, first, we review

the literature. Second, we formulate problem as a search based optimization problem. And Third, we illustrate our proposal by presenting an example in the context of an air pollution forecasting component.

168

Huber Nieto-Chaupis. The Metropolis-Hastings Algorithm To Simulate Fluxes of Bitcoins Volumes in Developing

Countries: Are you the winner or lost? Peru

Abstract: Once bitcoins are standardized as unit of official currency in any country, people might opt a different

perception about the worth of buy any product since the usage of bitcoin is seen as a bit different of the case of

traditional money. It might be interesting in all those business models that would adjust their products in the ones

that are of enormous attraction to people that have decided to expend their volumes of bitcoins. We applied the Metropolis-Hastings algorithm to extract information on users belonging to a developing country. Our results would

indicate the electronics market are strongly a choice of customers.


TRACK 6 Session 11

S11 T14 Tue 29 Oct Session 11 T 6 Computer Science, Software, Informatics Room 5


16:30 5 E. P. Leiva-Lobos, H. R. Ponce and F. A. Morales. Effects of Visual and Text-Based Forum Graphical

Interfaces on Participants’ Situation Awareness Chile

Abstract: The present study experimentally tested whether participating in dialogues using a visual-based

forum application increases participants’ situation awareness compared with using a text-based forum. The

text-based forum used in the study was a well-known open-source application called Discourse meanwhile the

visual-based forum was an application specially developed for this study that we called VisualMail. This tool

was designed based on a theory of dialogue and included functionalities to visualize the threads of the argumentation. A total of 42 participants interacted with the two applications in a within-subject design.

Situation awareness was assessed with an instrument called SAGAT (Situation Awareness Global Assessment

Technique) that measures perception of the environment, comprehension.

205 Liza Jego, Camila Aliaga and Felipe Besoain. A framework for digitizing historical pieces for the development

of interactive software Chile

Abstract: The digitalization of museum collections allows to expand the access to cultural heritage through multiple devices and ubiquitously. This paper proposes a framework for the digitalization of heritage

collections so they can be used in an interactive software. Through the method of short-range photogrammetry

and the optimization of 3D models, the products obtained may ensure the correct visualization of the pieces

in a wide range of devices, opening the possibilities in diffusion, attraction and entertainment of the Museums

and institutions that manage cultural heritage. Two software were developed to test the 3D models generated.

151 Ignacio Gajardo, Felipe Besoain and Nicolas A. Barriga. Introduction to Behavior Algorithms for Fighting

Games Chile

Abstract: The quality of opponent AI in fighting videogames is crucial. Some other game genres can rely on

their story or visuals, but fighting games are all about the adversarial experience. In this paper, we will

introduce standard behavior algorithms in videogames, such as Finite-State Machines and Behavior Trees, as

well as more recent developments, such as Monte-Carlo Tree Search. We will also discuss the existing and

potential combinations of these algorithms, and how they might be used in fighting games. Since we are at the financial peak of fighting games, both for casual players and in tournaments, it is important to build and expand

on fighting game AI, as it is one of the pillars of this growing market.

230 Mario Navarrete, Rudel Huancas, Paúl Díaz and Mauro Rivadeneira. Blockchain electronic vote system Ecuador

Abstract: One of the most critical applications in terms of data security and integrity is the electronic voting

process, since it is a system that must be transparent and reliable, as well as safeguarding the identity of voters.

This paper proposes a voting system based on Blockchain technology for data security, which allows verifying

transactions in real time, ensuring high availability of the service without the need for a centralized and secure database thanks to its cryptographic keys or Hash and smart contracts. The Agile Scrum methodology is used

for the development of the application, this allows to make unforeseen changes after each sprint, which allows

obtaining optimal results in terms of software quality.

257 Alexi Delgado. Improving logistic management in a mass consumption distributor by web system design Peru

Abstract: This work shows the prototype design and implementation of a web system to improve shipping

management, optimizing the process of distribution and supply of beverages in a mass consumption distributor. The main solution to the problem of the distributor is sought; to solve the delay in the deliveries

to the clients and to optimize this process. The system would receive the purchase orders, generate a detailed

report on the order, filling forms of the load vehicles and finish to complete pursuit of each delivery order. For

the achievement of the proposed objectives, the RUP software development methodology was used. In the

system development, various technologies were used, such as the PHP programming language and the MySQL database manager.

165 Huber Nieto-Chaupis. Blockchain for Cryptocurrency Based in Quantum Mechanics Algorithms Peru

Abstract: One of the crucial cornestone in cryptocurrency is the ability to generate random sequences and

aleatory numbers with a null chance that any eavesdropper could extract information about the one-to-one

transactions. Under the assumption that the Quantum Mechanics transition probability is perceived as a fully

blockchain operation, random sequences are generated as a tool to protect transactions entirely based on

Bitcoins. We test the algorithm with integer-order Bessel functions inside of a full blockchain-based algorithm. Simulations have demonstrated the reliability of a simple model of blockchain in the order of 75%.

23

Pablo Venegas, Noel Perez, Diego Benitez, Roman Lara and Mario Ruiz. Building Machine Learning Models

for Long-Period and Volcano-Tectonic Event Classification Ecuador

Abstract: This paper proposed a comprehensive algorithm for building machine learning models to classify

seismic events based on the suitable combination of five machine learning classifiers that provide the highest

performance over the area under receiver operating characteristic curve. The proposed method was validated

on an experimental dataset, containing 587 long-period and 81 volcano-tectonic seismic events recorded from

the Cotopaxi Volcano in Ecuador. The random forest classifier with 100 tree based predictors demonstrated to be the best classification model. According to the Wilcoxon Statistical test, the proposed method was

effective in providing competitive models for the classification of volcano seismic events.


TRACK 6 Session 28

S28 T6 Wed 30 Oct S28 T6 Computer Science, Software, Informatics Session Chair: Rodolfo Canelon Room 4


16:30 154 Leonardo Santiago Benitez Pereira and Rafael Nilson Rodrigues. Machine Learning aplicado à eficiência

energética de consumidores de grande porte Brazil

Abstract: The use of electric energy is rapidly increasing, so it is essential that users improve their

understanding of electric consumption, thus reducing waste and improper use. The present work uses

Machine Learning techniques (specifically Linear Regression and Random Forest) to model the relationship

between electricity consumption and climatic conditions within the Federal Institute of Education, Science and Technology of Santa Catarina (IFSC) and the Ministries Esplanade (headquarters of the Brazilian

Executive, in Brasilia). Historical data of active power, ambient temperature and atmospheric pressure

obtained from the database of the project PGEN.

176

Gabriel K. Sepulveda, Felipe Besoain and Nicolas A. Barriga. Introduction to Dynamic Difficulty Adjustment in Videogames

Chile

Abstract: Videogames are most entertaining when the difficulty level is a good match for the player’s skill,

increasing the player engagement. However, not all players are equally proficient, so some kind of difficulty

selection is required. In this paper, we will present the problem of Dynamic Difficulty Adjustment (DDA), a

recently arising research topic, which aims to develop an automated difficulty selection mechanism that keeps the player engaged and properly challenged, neither bored nor overwhelmed. We will present some

recent research addressing this issue, as well as point towards some open problems in the field.

247

Rodolfo Canelon. InDoCaS: a process for domain engineering in software production lines with a quality

approach Venezuela

Abstract: In this paper, it has been proposed a process for domain engineering based on software quality for

the dynamic production lines of software called InDoCaS. The final objective is to obtain a basic architecture

for a family of autonomous applications in dynamic and changing environments. The main disciplines of this

process are the analysis, design and implementation of the domain. The process proposed is a process for domain engineering that can be used in the development approach of static and dynamic production lines of

software. This process can be instantiated for a specific domain and the produced software assets can be

reused to generate a product from a particular domain family

256 Alexi Delgado. System of business intelligence in a health organization using the kimball methodology Peru

This work proposes the design of an intelligence system for a health organization, as there is a need to

generate indicators for the improvement of processes and decision making at all levels of the organization.

Therefore, the objective of this study is to implement a system that allows us to exploit the information and

to generate new business opportunities in the various areas of interest to the company. In addition, the processes can be automated and optimized by the visualization and understanding of the indicators ,

facilitating the availability of information and add value to the new decisions within the organization. For

this reason, the proposed design simulates a web environment designed with QlikView business intelligence

software, which consists of a connection to a SQL server database that has been developed using SQL server

data tools under the dimensional design methodology of Kimball.

211 Dagoberto Rubilar Donoso and Ana Aguilera Faraco. Sistema de Recomendación de Minutas Nutricionales

Automatizadas Enfocadas en Nutrición Clínica Chile

This paper proposes the implementation of a web application with the integration of knowledge on nutrition

modeled in a knowledge base, which is the pillar of operation of the recommended one. This serves as a tool to support the nutritionist expediting their work effectively when generating the nutritional minutes

considering multiple factors in decision making. Methodologies of systems development and knowledge

engineering were used. The system is implemented and unit tests of integration and acceptance have been

successfully executed.

198 Paul Diaz Zuñiga and Rene Carrera. IoT components for floriculture automation Ecuador

Abstract: The use of IoT (Internet of things), is achieving very encouraging results regarding costing,

predictions, situations that reduce crops’ productivity and profitability. In Ecuador, growers are limited about

the use of technological means, often by the lack of automated tools. Harvest cut rose correlates with variables such as temperature, humidity, light, PAR radiation, air quality, among other climatic factors

related to the physiology of plant growth. The use of specialized sensors and its implementation on the fields

that monitor climate variables allow growers, to anticipate possible problems by predicting crops, presence

of pests, seasons with lack of light, reducing cost implementation and understanding the physiology of the

rose and the effective management of greenhouse of roses.


TRACK 7 Session 4

S4 T7 Tue 29 Oct Session 4 T7 Control Theory and Applications Session Chair: Rafael Orellana Room 4


14:00 96 Juan Carlos Soto Bohorquez, Pedro Gabriel Rotta Saavedra, Jose Jose Manrique Silupu, Gaby Patricia Ruiz Petrozzi, William Ipanaque Alama and Franco Abanto Mayta. A review of current methods for moisture content measurement

Chile

Abstract: The determination of moisture content in various economic areas and different industrial processes has

been a parameter of analysis and study over many years because it serves to estimate the quality, durability and other

important parameters at commercial and environmental level. This article shows a summary of the technological

advances that have been obtained in recent years in moisture measurement. A current classification has been made

of the most representative methods and of greater mention in research and scientific articles. The applications and uses of traditional direct techniques such as the Karl Fischer Titration or the Thermogravimetric method are

mentioned, as well as the investigations carried out with systems that use NIR image processing, neural networks,

microwaves, among others. There is also talk about environmental applications such as soil moisture measurement

using radiometry and prediction algorithms. It is also explained how the most outstanding methods in the industry

are carried out, their advantages and disadvantages, the most relevant applications and the challenges in which they should be investigated.

65

Daniel Eduardo Sánchez, Jonathan Matías Palma Olate, Rodolfo Anibal Lobo, João Meyer, Cecília F. Morais,

Alejandro Rojas-Palma and Ricardo Oliveira. Modeling and Stability Analysis of Salmon Mortality due to Microalgae Bloom using Linear Parameter-Varying Structure

Chile

Abstract: This paper investigates a non-autonomous system that describes a biomathematical model in a salmon

farming context. More precisely, we consider two coupled nonlinear differential equations that model the dynamic behavior among aquatic pollution, salmon and microalgae populations. In this maritime habitat, we represent a

harmful algal bloom (HAB) due to the climate event called El Niño. This phenomenon produces an ecological

problem increasing the water temperature that starts a HAB, increasing the salmon mortality due to microalgae

toxins and, consequently, incorporating additional aquatic pollution. In this work, we provide some stability and

error analysis techniques based on a linear parameter-varying system modeling. Finally, we present numerical results and computational simulations in order to illustrate the applicability to model real ecological problems.

75

Rafael Orellana Prato, Rodrigo Carvajal and Juan C. Agüero. Empirical Bayes estimation utilizing finite Gaussian

Mixture Models Chile

Abstract: In this paper we develop an identification algorithm to obtain an estimation of the prior distribution in the classical problem of Bayesian inference. We consider the Empirical Bayes approach to obtain the prior distribution

approximation by a finite Gaussian mixture. An Expectation-Maximization based algorithm is used to obtain an

estimate of the Gaussian mixture parameters. Our approach shows a good approximation of the prior distribution

when the number of experiments is increased.

129

Jimmy Andres Zamora Borquez, Francisco Vargas and Alejandro Maass. Equivalencia entre sistemas de control con

canales con ruido multiplicativo correlacionado y canales con ruido aditivo Chile

Abstract: In this work, feedback control systems are considered, within which there are communication channels

modeled through multiplicative noise with spatial correlation, or through additive noises with constant gain. We will

restrict ourselves to the study of systems of multiple inputs and multiple outputs, discrete time, linear and invariant in time. The interest is in establishing conditions so that the first and second moments of the stochastic processes of

the system, when the multiplicative channel is used, are equal to the moments obtained when the additive channel

is used

85

Leonardo Carvalho, Jonathan Matías Palma Olate and Oswaldo L V Costa. $\mathcal{H}_\infty$/$\mathcal{H}_{-}$ Residual Generator for Markovian Jump Linear Systems

Peru

Abstract: The present manuscript provides the design of a residual generator using the Markov Jump Linear System

framework as a base. During the residual generator design process, the $\mathcal{H}_\infty$ norm and the index

$\mathcal{H}_-$ consider, with the intention of improving the residual generator performance. This improvement is achieved as the $\mathcal{H}_\infty$ increases the residual generator robustness and the $\mathcal{H}_{-}$

index increment the system for a specific signal, which is a desirable trait depending on the task where the residual

generator is implemented. A numerical example is also provided to illustrate the proposed approach.

220

Antonia Murillo, Francisco Vargas and Andrés Peters. Effects of speed saturation in a vehicle platoon with

predecessor following Chile

Abstract: In this paper we perform a numerical study of the effect of speed saturation in a platoon of autonomous

vehicles. In particular, the work is centered around studying the string stability of the platoon considering said speed

limit. For this we will consider that each vehicle has the same dynamical description and that the desired inter-

vehicle spacing depends on the speed of each agent. The analysis is donde in discrete time and, besides the saturations, we assume that that the dynamics of the local control loops are linear time invariant.

76

Nicolás Soto-Muñoz, Constantijn Langedijk, Pedro Escárate, Rodrigo Carvajal and Juan C. Agüero. Identification

and control of an experimental Adaptive Optics setup Chile

Abstract: Adaptive optics have become the standard technique to compensate disturbances for ground based astronomy. Due to the demanding features of next generation telescopes, improved identification and control

methods are required. In this paper we present the identification and control of an experimental adaptive optics

system. The identification of the system’s Tip and Tilt dynamics is performed using the Prediction Error Method.

An spectral factorisation approach is used to identify the continuous time disturbance model for mechanical

vibrations.


TRACK 7 Session 10

S10 T7 Tue 29 Oct Session 10 T7 Control Theory and Applications Session Chair: Nelson Aros Room 1


16:30 73 Gustavo Bittner, Rafael Orellana, Rodrigo Carvajal and Juan C. Agüero. Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution

Chile

Abstract: This paper considers the identification of a linear dynamical system driven by a non-Gaussian noise

distribution. The noise is approximated by a finite Gaussian mixture, whilst the parameters of the system and

the parameters that approximate the noise distribution are simultaneously estimated using the principle of

Maximum Likelihood. To this end, a global optimization algorithm is utilized to solve the resulting non-

convex optimization problem. It is shown that our approach improves the accuracy of the estimates, when compared with classic estimation techniques such as the Prediction Error Method (PEM), in terms of

covariance of the estimation error, while also obtaining an approximation of the noise distribution. The

benefits of the proposed technique are illustrated by numerical simulations.

179

Fernando Salazar and Nelson Aros. Implementación del Algoritmo del Sistema Adaptivo del Modelo de Referencia en Arduino

Chile

Abstract: This paper describes a study and experimental verification on the implementation of algorithm

Adaptive Reference Model System in the Arduino/DUE platform. The chosen algorithm allows to estimate

both the angular velocity and the electrical torque of an induction squirrel cage motor which allows adapting an adjustable model to the reference model, where both models have as input the voltages and power currents

of an induction machine and outputs of the models the vector of the rotor flow. The adjustment process requires

a PID family controller to obtain null error in product point of the outputs of said models. The system is tested

via simulation on the Matlab/Simulink platform to verify the operation of the algorithm.

88

Ricardo Albornoz, Rodrigo Carvajal and Juan C. Agüero. A Novel Bayesian Filtering Method for Systems with Quantized Output Data

Chile

Abstract: In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariant

systems with quantized output data. We take a Bayesian approach, therefore, we describe the behavior of the

a posteriori probability density function of the state. The difficulty of this problem lies in the probability function of the measurable output given the state, which we approach through an approximation by a Gaussian

sum, that naturally leads to a Gaussian sum for the a posteriori density function.

77

Maria Coronel, Rodrigo Carvajal and Juan Carlos Agüero. Identification of Continuous-Time Deterministic

System utilizing Orthonormal Basis Functions and Sample Data Chile

Abstract: In this paper we address the identification problem for continuous-time deterministic system. We

consider that the continuous-time system can be modeling utilizing the orthonormal continuous basis function

of Laguerre. We assume that only discrete-time measurements are available, we obtain the orthonormal basis

function of Laguerre equivalent discrete-time in terms of the continuous-time model parameter of Laguerre

basis, the sample time and the Euler-Frobenius polynomials.

110

Patricio Varas, Rodrigo Carvajal and Juan Carlos Aguero. State Estimation for SAG Mills utilizing a

simplified model with an alternative measurement Chile

Abstract: The semi-autogenous grinding (SAG) mill is one of the main devices utilized for grinding solid materials in mining activities. SAG mills exhibit a non-linear behaviour, whilst the variables of interest (states)

are not readily available (non-observavble). Tipically, the estimation of SAG mill states is carried out utilizing

the Extended Kalman Filter, albeit with system ouputs that are not available in practice. In this paper, we

propose to estimate the states utilizing the Unscented Kalman filter with a simplified model of the mill. We

also propose the utilization of a system output that is available in practice, but not tipically used.

143

Jonathan Palma, Cecília Morais and Ricardo Oliveira. H-2 gain-scheduled design subject to inexact

measurements: performance comparison of two models for the additive uncertainty Brazil

Abstract: This paper investigates the problem of H-2 gain-scheduled design (control and filtering) for LPV

systems where the scheduling parameters are affected by additive noises. The purpose is to analyze the impact on the H-2 performance of two models commonly used to model the additive uncertainty, one considering that

the bounds for the noise parameters are dependent of the values of the scheduling parameters (the saturation

effect is taken into account) and the other not. In this sense, a control design example is presented to illustrate

that if the saturation effect is considered, a finite and smaller upper bound to the H-2 norm.

57

Tiago Figueiredo Vieira, Davi Bibiano Brito, Márcio Ribeiro and Ícaro Araújo. An IoT Based Smart Utility

Pole and Street Lighting System Brazil

Abstract: This paper presents the design and analysis of an integrated solution for sustainable smart cities

ecosystems. The system is comprised of three major components: a smart utility pole, street-lighting and an off-grid photovoltaic systems for powering the solution. Cloud-based Internet of Things (IoT) applications

receive, analyze and manage data in real time for controlling and supervising. The system is installed in the

Institute of Computing building at the Federal University of Alagoas in the city of Macei\'o - Brazil


TRACK 7 Session 27

S27 T7 Wed 30 Oct S27 T7 Control Theory and Applications Session Chair: José Rojas, Ernesto Rubio Room 2

Hora Paper authors, title Country

16:30 121 Pablo José Prieto Entenza, Ernesto Rubio and Eduardo Izaguirre. Proxy-based sliding mode control on a

pneumatic robot Mexico

Abstract: Ryo Kikuuwe and Hideo Fujimoto introduce the Proxy-based sliding mode control (PSMC), which is a control algorithm intended for position control of robotic systems. This paper implements PSMC at the Cartesian space of a movable platform of 2 degree of freedom (2-DOF). Numerical co-simulations in Matlab/Simulink and the MSC-ADAMS framework

demonstrate the good performance of the system in motion control application by taking advantages of computer-aided design (CAD).

195 Mauricio Montanares and Loreto Gonzalez. Heating up Antarctic Plants - Preliminary Results of a Thermal Actuator for Antarctic Bioindicators in a Context of the Climate Change

Chile

Abstract: Colobanthus Quitensis and Deschampsia Antartica are the only native vascular species of plants in the Antarctic region and are a source of interest in the climate change studies. These plants have been studied for decades and recognized

as bioindicators of the climate change. The article presents preliminary studies and results of a thermal actuator, which is going to be applied in a climate change studies. The elaborated, far infrared actuator together with a control system maintains the temperature of the Antarctic plant certain delta above the ambient temperature. Since the heat transfer is based on infrared radiation a thermal model is introduced, where the parameters of the model are determined empirically approximating it

using a 1-st order dynamical system. Once determined, the sytem model paremeters help to design the control strategies: Control On-Off (1) and Control PID (proportional–integral–derivative) (2). As a result we obtain that the control PID maintains the objects temperature with major stability than On-Off, what makes it preferable in the final application. The future works involve modeling ambiental perturbation, which affects the system and determination thermal parameters of

the Antarctic plants.

79 José Rojas, Juan Aguero, Rodrigo Carvajal and César Silva. An Alternative Optimization Approach for MPC Control of PV plants with Energy Storage

Chile

Abstract: This work shows an alternative approach for the optimization of an economic cost functional associated with the

predictive control problem of a solar power plant with an energy storage system. A continuous approach is used to make the formulation of such cost explicit, and the benefits of this approach are discussed. Through simulations, it is shown that the flexibility of the approach to incorporate more complex models of the plant's battery, and thus increase the economic benefit

of the operators..

40

Micaela Jara, Ariel Guerrero and Mario Arzamendia. Study and implementation of autonomous navigation

algorithm for a scale electric car Paraguay

Abstract: This research describes the study of the autonomous navigation algorithm named Pure Pursuit. First, simulations were carried out to evaluate its performance and then it was implemented in the embedded system of a scale electric vehicle

called Aguarai. It was possible to establish the values of anticipated distance so the navigation errors do not exceed a pre-defined thresholds. For example in a path for bicyclist at the city of Hernandarias for a velocity of 2.5 m/s the anticipated distance was about 1.8 m.

150

Ernesto Rubio, Pablo Prieto, Luis Hernández and Orlando Urquijo. Comparison between three control strategy

applied to an electro-pneumatic 3-DOF platform Chile

Abstract: In this paper are shown and compared three control strategies applied to a parallel robot of three degree of freedom

drive by electro-pneumatic actuators with proportional flow valves. A robust control is implemented with a classical PI control with a second order compensator filter; this is a good position and tracking controller but is not a safety control in terms of human interaction. A sliding mode control is implemented for the third order transfer function of electro-pneumatic system; this could be a safety control but present the chattering problem. Finally, a proxy -based sliding mode control is

implemented combining the advantages of sliding mode control and proportional integral derivative control. All the results are obtaining in co-simulation between Adams and Matlab and in a real platform.

93

Felipe Arancibia Carrasco, Rodrigo Carvajal and Juan C. Agüero. Parameter estimation over wired networks

with time delay and packet collision. Ecuador

Abstract: In this paper, we address the problem of parameter estimation of a dynamic system using an OE model, in which the output signal is transmitted through wired networks. We consider that the wired network may causes unknown delays

and collision packet in data. To estimate the time delay caused by wired network, we use the Akaike information criterion. On the other hand, due to the packet loss caused by wired network, we use of the EM algorithm to estimate the parameters of the dynamic system. Finally, we test the effectiveness of the proposed algorithm with numerical examples.

181 José Painen and Nelson Aros. Parametric Sensitivity Analysis of an Induction Machine with Predictive Control Chile

Abstract: Predictive control is a control method which is based on a mathematical model of the machine induction and of the state variables that it has, the unknown that arises after the study of predictive control is related to the variability of the parameters that they are obtained by the physical effects of the machine induction This is why the study is focused on Parametric sensitivity analysis of the machine induction and observe the effects it has on the control predictive The purpose

of the study is to perform the analysis of parametric variability of the machine, via simulation on the MATLAB / SIMULINK platform, with its system of predictive torque control to determine which are the effects of parametric variability on the system predictive control


TRACK 8 Session 1

S1 T8 Tue 29 Oct Session 1 Track 8 Energy and Power Systems Room 1


14:00 145 Roger Schurch, Nicolas Pinto, Alejandro Angulo, Jorge Ardila-Rey and Johny Montana. Simulation of Reverse Electrical Trees using Cellular Automata

Chile

Abstract: Many models have been formulated for electrical tree propagation along many simulation techniques. In these models, electrical trees commonly grow from the needle electrode towards the plane-grounded electrode. Empirical evidence has shown that under certain conditions, ‘reverse trees’ initiate and grow from the plane electrode towards the needle. This phenomenon has not been simulated yet. This paper explores the hypothesis that reverse trees are caused by irregularities of the planar surface of the sample, and

when the forward tree is near to the plane electrode, a sufficiently high electric field can be generated and be able to initia te a reverse tree from the plane. Cellular automata modelling technique was used to simulate two-dimensional tree growth.

87

Mayerli Montes-Parra, Juan García Hernández, Juan Gordillo Sierra, Guillermo Jiménez-Estévez and Patricio Mendoza-Araya. Microgrid Energy Management System Optimization using Game Theory

Chile

Abstract: This paper presents an interactive algorithm based on game theory for optimizing an energy management system (EMS) of a microgrid. As agents in game, load, storage and energy resources adopt an individual strategy and through a potential game, they are able to reach a Nash Equilibrium. Results show energy dispatch for four different agents conditions, including exclusion of one of the

energy sources to emulate plug and play behavior. Availability and ease to change parameters for agents in proposed algorithm allows users tune it for several different conditions, achieving a useful tool for energy management in a microgrid.

214

Esau Figueroa Escoto and Fabio Bertequini Leão. A Binary Integer Linear Programming Model for Fault Section Estimation in

Electric Power Systems Brazil

Abstract: A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work.This optimization model is formulated based on a set of minimum covers, subject to logical protection constraints applied by electric power companies. Constraints of this formulation, compares protection relay alarms reported from the SCADA

system with the expected states of the protection relay functions allocated in power system. Naturally, the proposed problem is a complex binary integer nonlinear programming model. In order to apply classical optimization techniques, this model is recast as binary integer linear programming model. Numerical results show the effectiveness, applicability and robustness of the presented strategy by using a 7-bus test system.

38 Guilherme Alencar, Ricardo Santos and Aline Neves. Fault Location Using Wavelet Transform and Independent Component Analysis Brazil

Abstract: In this paper, will be discussed Wavelet Transform and Independent Component Analysis methods on fault location in transmission lines. Traveling methods techniques based on two terminals were used in measuring data signals. It was also showed a fault detection and classification algorithm for the pre-location step. The results were satisfactory in the three steps. In fault location

step the results of the two methods were compared and the errors fall below 1%.

71

Daniel Rivera, José Ponce Ramírez, Claudio Carvallo, Patricio Mendoza Araya and Guillermo Jiménez Estévez. Communication-Based Fault Location, Isolation, and Service Restoration for Microgrids

Chile

Abstract: The traditional power system protection scheme is obsolete when it comes to microgrids, since they generate bidirectional power flows due to the presence of different sources of distributed generation. In case of failure, these sources contribute to short-circuit currents. It is for this reason that there are different fields of research around fault location methodologies. In this paper we present a

communication-based fault location methodology, which uses directional fault passage indicators (FPIs) communicated with a control center. Through the information received by the FPIs, the location of faults and the isolation of the affected areas are carried out. In addition, it performs the restoration of service in healthy lines, if possible, by means of a reconfiguration of the topology of the microgrid through sectionalizers.

204

Fernanda Kitano, Larissa Peres, Tiago Honorato and Kleber Silva. Transformer Protection Evaluation Following Brazil’s National System Operator Recommendations

Brazil

Abstract: This paper presents the evaluation of transformer protection functions that have been typically employed by the Agents, according to the report ONS RE 3/200/2012 [1], as well as others that have been made available by the manufacturers but are not reported in [1], such as the negative sequence and REF elements. Therefore, this paper compares the performance of the recommended functions by ONS with the negative sequence and REF functions, in order to demonstrate if there is any sensitivity and reliability gain.

In order to do so, the following protection functions were implemented: phase (87T) and negative-sequence differential (87Q) as well as restricted earth fault differential protection (87REF); overcurrent protection (50/51) and restricted earth fault directional protection (67REF).

210 Pablo Inzunza and Karina A. Barbosa. Control Algorithm for a Dynamic Pricing Management of Electrical Energy Chile

Abstract: This article presents the design of a control algorithm for the management of the purchase/sale of electrical energy by

generators distributed in a distribution system with dynamic energy charging. In particular, an algorithm based on dynamic programming is implemented to maximize the income of each user daily, considering a pricing model proposed earlier in the literature.


TRACK 8 Session 7

S7 T8 Tue 29 Oct Session 7 Track 8 Energy and Power Systems Session Chair: Marcelo Cortés Room 1


16:30 239

Juan Carlos Acosta and Marcelo Cortes-Carmona. Multi-objective Generation Expansion Planning Considering Environmental

Criteria Chile

Abstract: The following paper refers to the problem of long-term generation expansion planning in the Great North

Interconnected System considering environmental criteria. Therefore, a multi-objective optimization model is developed, which according to technical, economic and environmental requirements, allows determining the configuration of the long-term generator park in the electrical system and it also allows assessing the impact on the emissions of greenhouse gases. The analysis

of alternative expansion of the generator park allows determining, for each different scenario, the annual operation hours of each generating technology, the investment and operation costs along with the level of CO2 emissions. The assessment horizon of this study was established by the year 2030.

36

Erick Sierra, Carlos Benavides and Marcelo Matus. Cost-Benefit Analysis of Small Distributed Generation in the National

Electric System Chile

Abstract: In this work, we estimate and identify a set of benefits and costs that Small Distributed Generation (PMG/PMGD) has for the National Electric System (SEN). Using Unit-Commitment and Hidrothermal Coordination optimization models, we ran simulations of an alternate scenario where PMG/PMGD were never installed, and a Base Scenario with SEN capacity as it is in

reality. The results indicate that PMG/PMGD allow to diminish coal-based generation, operational costs and GHG emissions. On the other hand, the main costs identified were: increment of both secondary reserve requirement and start-up and shutdown costs. Also, a theoretical maximum for the Stabilized Price Mechanism cost was 9.5 million US$.

186

Marcelo Cortes-Carmona, Franco Rivera-Pino, Marcelo Cortes-Olivares and Jessica Guevara-Cedeño. Effect of Hourly Demand Modeling on Generation Planning with Large-Scale Integration of Photovoltaic Plants

Chile

Abstract: The increase in variable generation technologies in electric power systems, imposes great challenges and changes in

the methodologies used for planning and operation of these, due to the variability and uncertainty of these resources. One of the challenges is to make maximum use of resources when they are available, this forces the remaining technologies to adapt to these requirements which may imply; production reduction, technical minimum operation or detention. The purpose of this work

is to develop a mathematical model that allows planning the expansion of generators with high integration of photovoltaic plants. The problem is solved by transforming the traditional park planning model with a demand duration curve into one that uses hourly demand profiles that also include solar and wind energy hourly profiles. The proposed model is validated through case studies in a small-scale system

252

Matias Garbarino, Rodrigo Morales, Jaime Rohten, Marcos Andreu, Jose Silva and Ernesto Rubio. New Simplified Proposal for

PV Cells Parameter Identification Chile

Abstract: Maximum Power Point Tracking (MPPT) methods have been widely discussed in many researches to improve the

efficiency of the energy extraction from solar cells. On the other hand, to control process the most common way is to find a model, where the parameters are adjusted in order to achieve similarity between the model and the real plant. Solar cells have been modeled by nonlinear equations that allow to approximate the static behavior. However, the parameters evolved in these

equations depend upon the construction and the type of solar cells. Thus, this paper proposes a parameter identification with a new simplified method to identify the parameters n, Rs and I0, by studying and analyzing the equations of the PV model and the information provided by the datasheets of the best-selling commercial PV panels in the world.

260

Pablo Valeria-Aguirre, Pablo Alarcon-Sandoval, Daniel Fontte-Jalil, Nathalie Risso and Fabricio Salgado. A simple validation methodology for Photovoltaic Systems efficacy in Agriculture applications

Chile

Abstract: Climate change along with the lack of availability of electricity in agricultural lands have led to increased production costs for farmers. These factors are leading farmers to incorporate the use of new technologies in search of more sustainable solutions for production. In this context, the use of renewable energy, in particular, photovoltaic systems to provide of f-grid solutions for agriculture applications has gained relevance. Currently, several programs impulsed by the Chilean government

are in place to incentive the use of solar energy for farming applications; However, some of these initiatives lack tools that may allow farmers to validate and assess the efficacy of the proposed solutions. This work is focused on the development of a simple validation method suitable to be used by nonexperts to assess the efficacy of solar energy -based solutions for farming applications. The proposed methodology considers taking advantage currently available tools along with collecting and

analyzing simple measures over the installed generation system, in order to provide a reasonable assessment of system performance. The proposed method is illustrated on a real installation used to supply power to a watering system for berries. Based on the obtained results, the developed tools seem suitable to be used by non-experts to assess performance and to implement seasonal performance improvements

261

Guillermo Gajardo-Miranda, Walter Puchi, Jan Luis Venegas, Nathalie Risso and Fabricio Salgado. A sustainability-based comparison between Photovoltaics and Concentrating Solar Power in Chile

Chile

Abstract: The projected increase in energy demand in Chile, along with the need of more sustainable energy solutions are increasing the use of renewable energies in Chile. Among currently used renewables, solar power represents one of the most

promising options, given the high irradiance levels available in the Atacama desert. Solar power can be implemented as photovoltaic (PV) and concentrating solar power (CSP) systems, being the first alternative the most popular nowadays. In order for CSP to become a sustainable alternativa for power generation in Chile, economic and environmental impacts need to be considered. This work presents a comparative analysis between the economic and environmental impacts of CSP and PV systems

in Chile. The study employs the levelized cost of energy and life-cycle analysis to evaluate hypothetical systems, under conditions currently available in the north of Chile.

112

Jorge Torres C., Hans Cabrera M., Anibal S. Morales and Guillermo Ramírez A.. Performance Evaluation of a On-Grid Solar PV Installation in the Rural Foothill of Central Chile – Case Study

Chile

Abstract: — In this paper, the performance of a solar on-grid installation is detailed analyzed considering challenging elements

given by natural conditions present in the environment, comparing the historical operational data and the projections obtained by simulation. The effects of shadow losses, power limit and excess on the energy production are widely analyzed to finally be integrated in the economical evaluation


TRACK 8 Session 13

S13 T8 Wed 30 Oct S13 T8 Energy and Power Systems Session Chair: Hector Chavez Room 1


9:00 137 Victor Nuñez, Carlos Fuentes, Hector Chavez and Augusto Lismayes. Virtual Inertia from Distributed PV Converters

Chile

Abstract: The integration of distributed PV has fostered various concerns on the operation of power systems. One

important concern in the lack of frequency response of the PV converters, given the absence of rotating mases of

such converters. Although virtual inertia schemes are being proposed, most approaches consider large-scale PV inverters. This work analyses the impact of virtual inertia from distributed PV converters. A simulation with an

empirically-validated power system model is considered

51 Douglas Pereira Dias, Winícius Latrônico Tôrres and Rafael Nilson Rodrigues. Self-Healing in Medium Voltage

Distribution Networks Brazil

Abstract: This work presents a methodology for the implementation of a computational algorithm that performs a

step of the automatic reconfiguration system of the electric distribution network. To determine the maneuvers

performed in the self-healing system, linear optimization techniques based on the Simplex method were used. The system of automatic recovery, or self-healing system, has as purpose the restoration of a portion of the power

system in case of faults. In this application two feeders were considered.

189 Carlos Fuentes, Victor Nunez and Hector Chavez. Towards Frequency-Responsive Solid-State Transformers Chile

Abstract: The integration of variable generation has deteriorated the capability of power system to maintain power

balance through frequency control. It is possible to find diverse strategies, such as virtual and synthetic inertia to

improve frequency response. This study explores the possibility of using solid-state transformers to manage power

flow in distribution feeders. Various studies show the dependence of distribution power flow on voltage, and solid-state transformers can regulate distribution voltage in response to power system frequency. Various simulations

are presented using an ERCOT system model.

194 Rodrigo Morales, Matias Garbarino, Jaime Rohten, Ernesto Rubio, Javier Muñoz and Valdimir Esparza. Maximum Power Point Tracking AlgorithmsComparison for Three-Phase Power Converter

Chile

Abstract: Solar energy is an interesting alternative to supply the growing energy requirements from industries and

homes. In fact, many researchers have put effort to maximize the solar system efficiency. This paper, make a

comparison between three alternatives of MPPT algorithms to inject the maximum power to the grid. The proposal includes only a three-phase inverter avoiding the DC-DC converter and therefore the control is performed

throughout the DC link voltage reference. The comparison includes the total time to compute every algorithm

where the TMS320F28335 DSP based board is employed. On the other hand, the three-phase power converter is

controlled through nonlinear based control which decouples and linearizes the current response. The results give

key lines to decide the proper MTTP algorithm considering the processing time and the desired performance.

111 Tomislav Roje Godoy, Alex Navas Fonseca, Matías Urrutia Ortiz, Patricio Mendoza Araya and Guillermo

Jiménez Estévez. Advanced lead-acid battery models for the state-of-charge estimation in an isolated microgrid Chile

Abstract: Unlike non-renewable electricity generators, microgrids require a complex control system. Since

generators based on renewable resources are not always dispatchable, it is essential to have a battery energy storage

system (BESS) responsible for compensating load variations and generation deficits within the microgrid. In an

effort to compare and improve BESS models, this work simulates the Coppeti, Coulomb counting, and Thevenin based models of the State of Charge (SoC) for the lead-acid batteries typically used for load dispatch in an isolated

microgrid with an Energy Management System (EMS). The Coulomb counting, Coppeti and Thevenin BESS

models are incorporated into an extended Kalman filter (EKF). Finally, we implement a multi-model estimator

that merges and exploits the benefits of each individual model. Comparative results of SoC employing real data

from the Huatacondo microgrid operation are shown applying the EMS with a Rolling horizon (EMS-RH) strategy. The operating costs of the microgrid could be reduced as much as 50\% when the multi-model estimator

is used, demonstrating the direct impact of accurately estimating the SoC on a BESS in the economical operation

of a microgrid.


TRACK 8 Session 19

S19 T8 Wed 30 Oct S19 T8 Energy and Power Systems Session Chair: Hector Chavez, Enrique López Room 1


14:00 114 Diego Altamirano Hernandez and Jorge Mendoza Baeza. Methodology for Short Term Forecasting for Demand

Prediction and Renewable Energy in Electrical Distribution Systems Chile

Abstract: The main objective of this work is the development of a short-term prediction methodology based on time

series, for electricity demand and renewable generation (solar photovoltaic and wind) in Electrical Distribution

Systems, using the Holt-Winters prediction technique for make the forecasts. The methodology developed was applied to a test system, obtaining good results both for electricity demand and for renewable generation, which

makes it a technique applicable to real systems, with varied applications such as service restoration processes.

144

Rafael Nilson Rodrigues, Leonardo Santiago Benitez Pereira, Rafael Gustavo Nagel and Ismael Soto Gomez.

Desenvolvimento de um protótipo de unidade de medição fasorial aplicado aos sistemas elétricos brasileiro e chileno Brazil

Abstract: A reliable and efficient electric distribution network depends on a real-time acquisition system and data

transmission. Monitoring the dynamic performance of large areas of the transmission systems is based on Phasor

Measurement Units (PMUs). The advantage of using PMUs is a high data acquisition rate and the synchronization

of measurements using Global Positioning System (GPS). This paper presents the development of a low-cost PMU

prototype, based on IEEE C37.118 standards, using Digital Signal Processor (DSP).

22

Adrian Carrillo, Fabian Flores-Bazán and Enrique López. An Analytical Approach to the Environmental/Economic Dispatch Problem

Chile

Abstract: In this paper an analytical approach is proposed to solving the Environmental/Economic Dispatch problem (EED). The EED is a multiobjective optimization problem (MOP) that has as objectives to minimize the emissions

of pollutants and the total fuel cost of meeting the energy requirements of an electrical power network system. The

Weighted Sum Method is used for the scalarization of the MOP and therefore to find the whole Pareto front. To

solve the obtained quadratic programming problem, the Karush-Kuhn-Tucker conditions were used, based on a

condition that allowed to obtain solutions by solving a system of lineal equations. This strategy was tested on 2 systems with different number of generators and characteristics. The obtained results were compared with other

previously reported, showing some evident advantages of the proposed approach.

56

Jesus Martinez Patiño, Jose Merced Lozano García, Ivan Abel Hernández Robles, Pablo Sanchez Razo and

Francisco Fidel Macias Aguilera. Cost for Decorative Lighting in Homes, Case of Study: Seasonal Lighting Mexico

Abstract: Seasonal decorative lighting directly affects the total cost of billing for the concept of energy. It is

necessary to know the quantitative impact of this concept (seasonal lighting) and to know the factors that inside

directly; for example: type of energy, duration of use, type of electricity tariff, among others. Through this article,

we analyze multiple factors and characteristics in the use of decorative lighting, focused on the Christmas season

with a specific case in Mexico, in order to consider costs closer to reality. The results help to know an approximate range with a minimum or maximum economic.

94

Cristian David Bedoya Rodriguez, Jose Alejandro Jimenez Segura, Maria Camila Ceballos Ruiz, Patricio A.

Mendoza Araya and Guillermo Andres Jimenez Estevez. EVALUATING THE IMPACT OF A V2G SCHEME ON THE DEMAND CURVE

Ecuador

Abstract: This paper evaluates how the use of V2G technology has an important impact on the characteristic of the

demand curve. Therefore, a study case is developed based on the characteristic of Bogota’s (Colombia) demand curve and the statement of different scenarios of V2G participation. In order to determine when the EV battery is

charging or injecting, 3 parameters were considered: Availability, State of Charge (SOC) and a TOU tariff. In

addition, 4 behavior profiles were proposed for different types of vehicle owners with the objective of analyzing the

sensibility of the demand curve in terms of number of owners with certain daily behavior. Finally, the results were

contrasted by the load factor in each case, where it was shown that the impact on the demand curve depends mainly on the number of vehicles incorporated to the V2G scheme, demonstrating an improvement until a maximum

number of vehicles

138

Javiera Guajardo, Hector Chavez and Manuel Acevedo. BESS for Energy Arbitrage and Ancillary Services: The

Case of Chile Chile

Abstract: The contribution of BESS to power system operation is currently widely accepted. Aspects such as fast

response has an important impact on system adequacy. However, it is not clear if BESS are economically

sustainable, given the high investment costs and the various regulatory frameworks in different countries. This work

presents a detailed analysis on the particular case of Chile to understand BESS economic opportunities. In particular,

energy arbitrage and ancillary services are considered.


TRACK 8 Session 25

S25 T8 Wed 30 Oct S25 T8 Energy and Power Systems Sesion Chair: Karina Barbosa Room 1


16:30 6 Richard Quevedo and Alberto Sanchez. Computer-Aided Electromagnetic Analysis of a Multi-Winding Transformer for SST Applications

Ecuador

Abstract: This paper reports on the simulation and analysis of a high frequency multi-winding four port power

transformer using Finite Element Electromagnetic Analysis software. The model consider a two dimensional

geometric configuration. The model allows for the analysis of electromagnetic loss mechanisms within the

device. Simulation result allow to verify the design specifications and estimate the losses in the windings.

123 Cristhian Quezada Viñanzaca, Jaime Torres Arias and Flavio Quizphi Palomeque. Location of Capacitor

Banks in Distribution Networks: Optimal Localization by Implementing Heuristic Methods Ecuador

Abstract: Determining the location of capacitor banks in an urban or rural distribution network represents

benefits for the distribution company by providing improvements in the power factor, the reduction of

reagents in the network and the decrease in voltage drops. A two-phase heuristic method has been used to

carry out the study in a distribution feeder of the urban-rural type, and thus to finding the most optimal

location of the fixed and variable capacitor banks with very favorable results for the system.

43 Mario G. Borja Borja, Sergio Lescano and Jaime E. Luyo. Analysis of the dynamic behavior of the self-

excited three-phase induction generator during the generation of electricity from variable energy sources Peru

Abstract: This paper presents the analysis of the dynamic behavior of the self-excited three-phase induction

generator (SEIG) during the generation of electricity from variable energy sources such as wind power. The

work focuses especially on determining how the voltage, current, flow and power generated during the

variation of the speed applied to the rotor behaves in a wide range from a variable energy source, allowing

to determine which are the best conditions to generate the maximum active power. Simulation results are presented, explaining in detail the dynamic behavior in a wide range of variation of the speed applied to the

rotor from a variable energy source.

62 Barbara Blanco-Contreras, Javiera Meneses-Silva, Patricio Mendoza-Araya and Guillermo Jiménez-Estévez. Effect of constant power load models on the stability of isolated Microgrids

Chile

Abstract: The loads that can be found in microgrids have been changing over the years and the problems they

cause have grown in complexity. For example, some of the loads present in this type of networks behave like Constant Power Loads (CPL), among which are the tightly regulated electronic converters, which have a

quick response and a low output fluctuation. The problem with this type of load is its negative incremental

impedance characteristic, that may cause instabilities in the power network with multiple power electronics

converters. This paper studies the influence of these types of loads in an isolated microgrid, making use of

both a dynamic and a static CPL. In order to achieve this, the DIgSILENT Power Factory software is used to simulate the Huatacondo microgrid located in northern Chile. The results show that, when the load is modeled

as constant power, both the voltage and frequency response to disturbances is worsened with respect to the

use of constant-impedance type loads. We conclude that electronic type loads, which have CPL behavior,

could bring stability issues in isolated microgrids.

20 Ricardo Alonso, Guillermo Alonso and Alcides Chavez. Estabilidad de Tensión en Redes de Distribución

Radial Paraguay

Abstract: Voltage stability is a matter adressed mainly in transmission network. In distribution network the focus must consider a few variations with the traditional model, specially the well known issues of unbalance

and the R/X relation that causes the jacobian matrix bad condition. The length of the feeder is another matter

among pecualiarities of the system. This study case refers to a feeder of 23000 V and 120 km of trunk. During

summer of 2016-2017 some phenomena with typical voltage instability symptoms were observed: sostained

low voltage periods, rise of reactive power, trip of protection relays and inability of voltage regulators to keep a suitable voltage level. The manifestation of this phenomena took place near to the peak system

demand. This paper presents the Direct-Inverse Sweep as an alternative method to resolve those peculiarities .

191 Franco Contreras, Hector Chavez and Karina Barbosa. Limitations on Primary Frequency Control Adequacy Constraints in the Economic Dispatch

Chile

Abstract: The integration of renewable energy has reduced the ability of power systems to maintain primary

control adequacy, leading to formulations that represent such an adequacy in the economy dispatch. It can be seen that the various approaches rely on sufficient condition to guarantee adequacy, while sufficient and

necessary condition are not yet proposed. It is not then clear if the sufficient conditions are far from being

necessary, or if they represent a significant impact on the economic decision. This work explores different

conditions to understand the impacts sufficient but not necessary condition of Frequency Control Adequacy

Constraints on the Economic dispatch, by simulating both the dynamics of frequency control and the optimization problem behind economic dispatch. An illustrative case is presented.

24 Marco Toledo, Carlos Álvarez, Diego Morales and Carlos Árias. Errors in the measurement systems with the

inclusion of single-phase loads at 220V in three-phase distribution networks Ecuador

Abstract—This research analyzes the problems presented by the measurement systems in one Phase three

wires electrical distribution networks when single-phase loads are connected to 220V and proposes to

replace the equation to eliminate the error that occurs in the energy meter. This case of study was given

Ecuador due to the massive inclusion of induction cookers through the change of the energy matrix promoted by the state since this account with more than 90 of hydroelectric energy to meet their electric demand.


TRACK 8 Session 31

S31 T8 Thu 32 Oct S31 T8 Energy and Power Systems Session Chair: Room 1


9:00 50 Ignacio Ligueros, Johny Montaña, Jorge Ardila and Rodrigo Castro. Development of a computational program that allow the analysis of different alternatives for the correct insulation coordination inside high voltage

substations

Chile

Abstract: The increase of the transmission lines, in addition with the updated values of the storm days, has made

it necessary to verify that the application guide to elaborate the insulation coordination study granted by IEC

60071-2 represents coherent parameters, according to the actual reality. For this, a model is made through Matlab®

that will apply improvements in the electrical system, specifically in the shielding schemes of the guard cables and the efficient choice of the surge arresters, this will increase safety margins of the protected installations, with the

objective to get a better operation of the electrical network, in the ambit of security and supply continuity

161

Felipe Sarmiento-Delgado, Jean-Michel Clairand, Paulo Guerra-Terán and Guillermo Escrivá-Escrivá. Electric

Vehicle Charging Load Prediction for Private Cars and Taxis Based on Vehicle Usage Data Ecuador

Abstract: Electric Vehicles (EVs) are growing attention for their higher efficiency and less-polluting specifications .

However, a massive introduction of EVs could lead to several issues in power systems. Several authors have

proposed various smart charging approaches. But, these approaches could not be appropriately implemented without knowing the charging behavior of the EV customers. Thus, this paper proposes an EV charging load

prediction for the particular case of Quito, Ecuador. This forecasting is performed based on data obtained from a

GPS system and on statistical methods.

25

Daniel Aquino Carvallo and Diego Sanchez. Comercialización de energía eléctrica sobrante de Paraguay en el

Mercado Eléctrico Brasilero de Corto Plazo bajo incertidumbre: modelado predictivo y calculo de rentabilidad Paraguay

Abstract: El presente trabajo propone un modelo para orientar la comercialización de energía eléctrica sobrante,

correspondiente por Tratado al derecho de Paraguay, en el Mercado Eléctrico Brasilero de corto plazo bajo incertidumbre. Se plantea el uso de una Red Neuronal Artificial (RNA) para modelar y pronosticar la Potencia

Hidroenergética Generada por la Central Hidroeléctrica ITAIPÚ (CHI) y el Análisis Espectral (AE) para modelar

y pronosticar el comportamiento de la potencia retirada por parte de ANDE en la CHI, estas proyecciones serán

para el año 2019. Se analizan dos casos: i) el sobrante de energía de contrato y, ii) el uso de la energía asociada a

la potencia excedente de la CHI que le corresponde a Paraguay. Una vez realizadas las proyecciones, se realiza el calculo de la energia sobrante de los casos analizados para finalmente evaluar en términos económicos la

comercialización de estas energías sobrantes en el Mercado Eléctrico Brasilero de corto plazo valorizándolo al

Precio de Liquidación de Diferencias (PLD).

232

Félix Fernández, Raúl Amarilla, Estela Riveros and Enrique Buzarquis. Paraguay Energy Analysis. Current

Situation and Energy Prospection of the Expansion of Electricity Generation Paraguay

Abstract: Paraguay is a country with very particular characteristics in terms of its electrical development and its relations with socioeconomic development. It has a competitive and comparative advantage: abundance of

renewable electricity (hydropower). Its electrical system has a generation that is almost exclusively hydroelectric.

In that sense, in 2016 the Energy Policy of the Republic of Paraguay was promulgated, which seeks to “Address

the energy needs of the population and all productive sectors, with criteria of quality, socio-environmental

responsibility and efficiency; energy becoming a factor of economic growth, industrial development and social progress, within the framework of regional integration”. In this work, the main results of the Energy Prospective

project for the Republic of Paraguay between 2013-2040 are presented, focused on the expansion of electricity

generation, which was developed on the LEAP platform. From this, an energy analysis of Paraguay was carried

out by means of long-term projections of the demand, and of the corresponding supply before the alternative of

socioeconomic scenarios (Tendency and Alternative) and of their respective energy scenarios. Two scenarios were considered, one called Reference which projects an evolution of the recent past, and another called Alternative that

incorporates the proposed changes in Paraguay's energy policy. The formulation of the Alternative Scenario

follows the guidelines of the National Development Plan Paraguay 2030. For its part, the Alternative Scenario,

takes as basic inputs the guidelines and goals of the Energy Policy of Paraguay, both being duly coordinated by

the Vice Ministry of Mines and Energy of Paraguay. The participation of various actors linked to the energy sector in Paraguay has been part of the work methodology. As a main result, this paper presents the future generation

expansion based on demand growth, maintaining a minimum reserve margin where the installation of new power

plants is expected.


TRACK 8 Session 37

S37 T8 Thu 31 Oct S37 T8 Energy and Power Systems Session Chair: Room 1


11:30 209 Carlos Gonzalez and Hector Chavez. The Andean Regional Electricity Market: Energy Trade Opportunities

in the South Cone Chile

Abstract: In 2018, the Andean Community of Nations created The Andean Regional Electricity Market, in order for the countries within the community to trade electricity in a regulated and agreed manner. This work describes the details of the new regulatory framework for energy trade, and presents an illustrative example to model the expected electricity flows in various scenarios.

229 Arturo González, José Rodríguez, Félix Fernández and Gerardo Blanco. Multi-criteria Analysis of the

Expansion Plan of the Transmission System of Paraguay Paraguay

Abstract: The Master Plan of the electric company of Paraguay ANDE 2016-2025, it exposes a series of

generation, transmission and distribution expansion plans required by the National Interconnected System

(SIN), to meet the requirements of the demand, expand the system and promote the economic development of the country. The Master Plan contains a large number of works and therefore requires a large economic

investment for its execution. However, this doesn't mean which works are the priority for the performance

of the electrical system. In this sense, the present research seeks to identify which works of transmission

lines (220 and 500 kV) are the most priority for the electrical system according to the selected evaluation

criteria that determine the attributes of each work for the SIN. Therefore, for this prioritization analysis, it is proposed to use a multi-criteria decision making process called Analytic Hierarchy Process (AHP). This

method allows to evaluate decision making considering several alternatives and meeting the needs of

multiple criteria. This paper presents a hierarchy of decision within the framework of the problem approach

and the alternatives considered the most priority for the system, obtaining as a result the transmission lines

(LT), whose execution must be prioritized, according to the criteria selected for each year, for the period of analysis from 2019 to 2025. Finally, this research aims to provide a multi-criteria decision making tool, in

this case in particular for the decision makers of the ANDE electricity company.

192

Ignacio Rebolledo, Rodrigo Acuna, Hector Chavez and Marco Rivera. Towards Distribution Revenue

Adequacy in Chile: Lessons Learned from Australia Chile

Abstract: The integration of distributed PV has fostered various concerns on the distribution financial

adequacy. As Chile has regulated distribution tariffs, most distribution customers have traditional meters

that only measure energy. This way, one portion of tariff collection is meant to finance energy generation and other finance distribution infrastructure. When PV integration occurs at the distribution level, the energy

consumption of distribution customers decreases, so both energy and infrastructure collection decrease as

well. While energy collection reduction only affects energy contracts at the generation level, the reduction

of distribution infrastructure collection is not related with a reduction in investment nor operational costs of

distribution systems. Thus, a financial imbalance may happen, which may discourage PV integration from a public policy perspective. This work describes the financial problem of PV integration and distribution

financial adequacy and examines the experience of Australia on the matter


TRACK 9 Session 17

S17 T9 Wed 30 Oct S17 T9 Engineering Education Session Chair: Huber Nieto-Chaupis Room 5


9:00 167 Huber Nieto-Chaupis. Interpretation of Scimago Ranking in Terms of Success Probabilities Peru

Abstract: We derive various probabilistic expressions about the capabilities of certain social groups to complete a scientific article with prospective indexation in the database Scopus. Guided by the latest Scimago ranking, we

carried out estimations about the produced scientific papers by taking into account different factors that might be

crucial for a optimal production of papers. We illustrate the case of Peru where the proposed model is applied

resulting in that 1 of 10 trained professionals might be erroneously accounted in the Scimago ranking of the total

number of published Scopus documents.

67 Milton Gonzales-Macavilca, Lizeth Nolberto-Quispe and Ivan Iraola-Real. Determining Factors for Getting Good

Grades in Engineering Careers. The Case of a Public University in Lima (Peru) Peru

Abstract: This article aims to establish how decisive are the factors anxiety, academic self-efficacy and

engagement to get good grades in the engineering careers of a public university in Lima (Perú). The sample

consisted of 53 university students aged between 17 and 25 years old (M = 20.0, S = 2.0). The results showed that,

of the four components of academic engagement (cognitive, emotional, behavioral and agentic), only the first three are determinants for a good grade; also, that low anxiety has a positive impact on self-efficacy and this, in

turn, promotes a good rating. Finally, a linear regression analysis was performed, according to which the cognitive

component of engagement and academic self-efficacy favorably predicts obtaining good grades.

241 Elizabeth Vidal. Improving Writing and Oral Communication for Engineering Students – the Conference paper and poster format experience

Chile

Abstract: The objective of this paper was to share our experience in developing writing and oral communication

thought a new course that follows a conference paper and poster format. We believe that this format shows students in an active learning format how to communicate specific ideas according to specific standards like IEEE

conference paper forma, and also the poster experience gives the a real experience with industry to present their

ideas. Our experience showed that this format give the students the basis to keep on working by them self and

send their projects to real conferences. We believe that this experience and the design of our course could be

replicated to different Engineering Careers.

148 Rafael Mellado, Maria Teresa Blanco, Claudio Cubillos, Hanns De La Fuente and Antonio Faúndez. Learning of

Information Technologies in Administration Sciences through gamification techniques Chile

Abstract: The present research addresses the difficulty in learning the information technologies of university

students in the business area, through the inclusion of learning support tools that make use of gamification as a

potential differentiator. The gamification techniques have multiple advantages especially when applied in

educational processes, whether in engineering, health, among others. For the experimentation was made with a universe of 78 undergraduate students of the career Auditor Accountant of a Chilean university. The sample was

divided into 40 students for one experimental group and 38 students for the control group, where those from the

experimental group used learning tools that included gamification and the control group applied tools that did not

include the gamification component. The results obtained showed that those students belonging to the

experimental group were significantly better than the control group, thus generating a contribution to their learning process.

225 Cristóbal Andrade, Cristóbal Garrido, Andrés Peters and Francisco Vargas. A low cost experimental platform for

the study of scalability issues in multi-agent systems Chile

Abstract: This paper describes the design and implementation of a low cost experimental testbed for the study of

formation control of autonomous vehicles. The purpose of the platform is to serve as an aide for the teaching of

control theory, embedded systems and networked multi-agent systems at a higher education level. Simultaneously,

the platform has the capability to replicate recent theoretical results for 1 dimensional platooning of unmanned autonomous vehicles and it is flexible enough to motivate new lines of research in the same area. The platform

consists of several model trains powered by a 9V DC motor. Each train is equipped with a low cost microcontroller

unit (MCU) with WiFi capabilities, sensors, a battery and circuitry that allow its automation. All of the parts are

mounted on a 3D printed chassis. Each MCU has access to the instantaneous velocity of its train, the distance to

its immediate predecessor, and some measurements of other trains through the use of the Meassage Queuing Telemetry Transport (MQTT) protocol. Using simple Proportional-Integral-Derivative (PID) controllers and a

highly decentralized networking scheme, the MCUs power the DC motors in order to reach a consensus velocity

and a desired formation where the vehicles maintain fixed spacings, whenever possible. The wireless capabilities

of the MCU allow for supervision of the agents, data acquisition and on the fly parameter configuration. The

capabilities of the testbed are showcased through experimental results.


TRACK 9 Session 23

S23 T9 Wed 30 Oct S23 T9 Engineering Education Session Chair: Mario Fernández Room 5


14:00 68 Ivan Iraola-Real and Milton Gonzales-Macavilca. Support the Realistic Mathematics and its Influence in the

Mathematical Self-Efficacy in Aspirants to Engineering Peru

Abstract: The evaluations of the Programme for International Student Assessment (PISA) demonstrate that Peru has

serious shortcomings in mathematics, result that is harmful to the formation of future engineers. For it before this

problems the Institute of Sciences and Humanities (ICH) promotes the Realistic Mathematical Education (RME) in

the pre university education. And before the need to evaluate some achievements of the ICH, the present studies takes as a finality to identify relation between the application of the principles of the RME and the mathematical

self-efficacy in a sample of 60 pre university students candidates to the engineering careers.

246 Carolina Zambrano. Continuous Improvement Model to Systematize Curricular Processes in Engineering Education Chile

Abstract: The continuous improvement model of the engineering program is presented, which is composed of two

levels: The first level corresponds to the process of continuous improvement associated with the curriculum and the second level corresponds to the process of continuous improvement related to the measurement of learning outcomes

in each of the subjects and its purpose is to establish the plan for annual improvement of teaching and the

systematization of the processes of measurement and evaluation of student learning outcomes.

206

Rodolfo Lobo, Jonathan Matías Palma Olate, Cecília F. Morais, Leonardo Carvalho, Marcos Eduardo Valle and Ricardo C. L. F. Oliveira. A Brief Tutorial on Quadratic Stability of Linear Parameter-Varying Model for

Biomathematical Systems

Brazil

Abstract: Many biological phenomena are investigated using models formulated in terms on nonlinear differential equations and, in general, the global stability is assured point-to-point by Lyapunov's theory. However, many times

the stability analysis becomes a hard task due to the complex interactions between variables and parameters .

Furthermore, when some parameters vary over time, it is not possible to employ the conventional methods of

stability analysis regarding linear time-invariant (LTI) theory. However, several of those nonlinear models can be

rewritten as linear systems with time-varying parameters lying inside bounded and known intervals for which there exist in the control theory literature convex optimization procedures based on linear matrix inequality (LMI)

conditions to test the asymptotic stability.

115

Carlos Muñoz-Poblete, Mario Fernandez-Fernandez and María José Castilla. Pole Placement applied to drive a

Truck and Trailer in backward. A didactic view Chile

Abstract: Driving a Truck and Trailer in backward is a

challenging problem to address the control teaching of non-linearunstable systems. The paper shows techniques to

formulate defeedback control problem, to find the equilibrium state and tolinearize the system and to design the

state feedback controllerswith Luenberger observers tuned with pole placement techniques.Results show that the state feedback controller can stabilize thetruck and trailer, moreover, the controlled system has goodbehaviour in

following sinusoidal trajectories when driving inbackward. optimization procedures based on linear matrix

inequality (LMI) conditions to test the asymptotic stability.

237 Nicolas Hernandez, Javier Rebolledo, Javier Torres, Gonzalo Carvajal and Francisco Vargas. Diseño de una plataforma experimental para la automatización del arquero de una mesa de fútbol

Chile

Abstract: This article presents the design and development of an experimental platform prototype aimed at

automating an archer of a football table. The development of this platform requires the integration of different stages and disciplines, including computer vision techniques for the detection and monitoring of the ball and players, motor

control for the mechanical movement of the bar, algorithms for the prediction of the trajectory of the ball, and the

mechanical design of the platform that allows the integration of all the elements. The pre-implementation stages

also consider the choice of hardware and software suitable for proper communication, storage, and real-time data

processing. The main purpose of this platform points to its use in teaching and research activities in the context of modern cyber-physical systems, including the experimental evaluation of sophisticated sensing and control

algorithms, and the integration of specialized computing platforms to accelerate processes. Given its nature, and the

ability to interact with people in a human-machine-type challenge game, this platform also has significant potential

to disseminate issues related to science and technology.

180 Víctor Pizarro-Céspedes, Mario Fernández-Fernández and Carlos Muñoz-Poblete. An approach to State Space

Control Teaching Chile

Abstract: In the process of learning control techniques, the control by state feedback is a highly studied method, due to the associated benefits: it only implies a feedback by amplification of the states (it has no associated dynamics)

and the extension of the SISO to MIMO systems is almost trivial. The most common techniques allow to control a

system around an operation point, based on the disposition of a linearized model of the system around said point. In

general, good results can be achieved when the system is closed (in the vicinity) of the operation point. This paper

shows a proposal for an Advanced Control course based on this technique, which allows the student to progress gradually in the way to perform the control, the solutions that can be given to the most common problems, to end

up undertaking the why apply non-linear control techniques when the system requirements should be extended to

conditions far from the point of operation.


TRACK 9 Session 35

S35 T9 Thu 31 Oct S35 T9 Engineering Education Session Chair: Liz Delgado Room 5


9:00 92

Andressa Martins Oliveira, José Carlos Pinheiro Filho, Glauber Arruda Braga, Eduardo M. de Muranda

Vasconcellos, Luis Felipe Vieira Silva, Ícaro Araújo and Davi Bibiano Brito. Development and calibration of a

low-cost didactic thermal plant

Chile

Abstract: This paper presents the development and construction of a low cost didactic thermal plant. The use of

didactic systems in engineering courses is crucial for the teaching of systems identification, control, and instrumentation techniques. The prototype described in this article uses a Peltier effect pellet. For data

acquisition, an Arduino prototyping kit is used. The system described in this work presents a low cost of

production when compared to other systems described in the literature.

116 Rodney Damian Fariña Martínez, Liz Eda Delgado Alcaraz, Ricardo Francisco Alonso Cardozo and Antonio

Carlos Zambroni de Souza. POWER SYSTEMS PERFORMANCE USING VOLTAGE STABILITY TOOLS Paraguay

Abstract: This paper deals with studies of voltage stability on the part of a power system (subsystem South of

Paraguay) of 16 bus, using information obtained through the curve Q-V and P-V when are included reactive compensation and distributed generation. The results are validated through the current literature.

4 Juan Sebastian Gonzalez Sanabria, Alexander Castro Romero, Carlos Goméz-Pradilla and Diego Burgos-

Pineda. Behavior of the References Cited by the Colombian Engineering Scientific Journals Colombia

Abstract: The continuous work of scientific journals leads to evaluate different aspects that allow establishing a

quality seal and, therefore, recognition of researchers, and thus drawing attention of international researchers to

publish in these journals. One of the factors most taken into account by the authors is the quotation level of a

given journal, which is a point of wide discussion especially in the Latin American region or even in the Spanish-speaking one, as the publishers argue that the works in the region publications are important mostly for

the region itself. Therefore, an analysis was made in order to evaluate the behavior of the references cited in the

articles published in the Colombian engineering journals to determine if they “use” or not the works of their

peers in the region.

113 Rodrigo dos Passos, Luis Eduardo Palomino and Ana Sabrina NiÑo Ruge. Energy Consumption and

Luminescence Analysis of T8 Fluorescent Lamps, LED-M and LED-B Using DIALux 3D Brazil

Abstract: This work presents a comparison between T8 fluorescent lamps and LEDs within a laboratory

environment for technological development. Two presentations of T8 LED lamps are used, with matte tubing or

LED-M and bright LEDB. Voltage measurements and electrical installation currents determine efficiency when

compared to lumens measured at different points in the laboratory area. The comparison of results with DIALux

allows to analyze the results in 3D to determine both, the performance and the return in an eventual financial study, extrapolating the results to a case of real application in the Universidade do Contestado, Canoinhas

campus, in Brazil.

173 Osvaldo Amestica, Pedro Melin, Cristian Duran-Faundez and Gabriel Lagos. An Experimental Comparison of Arduino IDE Compatible Plattaforms for Digital Control and Data Acquisition Applications

Chile

Abstract: This work compares different digital embedded platforms which can be programmed using Arduino

IDE software and which can be used for digital control and data acquisition applications. Specifically three kind

of Arduino Board (Arduino UNO, Arduino Mega y Arduino Due) and two ESP based board (ESP8266 and ESP32) are studied and compared. The comparison is based on the execution time of mathematical operations

and a function required for data acquisition or digital control and includes (i) digital ports writing, (ii) analog

signal acquisition, (iii) execution of mathematic operation in integer and float format, and (iv) the execution of

the data processing code. The execution time is measured by using a methodology which is simple to implement

for any other digital device. Because of each platform uses its own Arduino DUE library to generate the assembly code for each microcontroller, the instructions adopted for both generating the actions to measure and

generating the testing signals are written using Arduino IDE commands and using instructions that any entry-

level user may adopt. In conclusion, from the experimental results it is observed the high difference in the

execution time of the different platforms.


TRACK 10 Session 33

S33 T10 Thu 31 Oct S33 T10 Industry 4.0 Automation. FMS Session Chair: Enrique San Juan Room 3


11 :30 259 Nathalie Risso, Junhyeok Park, Jack O. A. Lundin, Pedro Melin and Cristian Duran-Faundez. A Path-

planning strategy for an Autonomous dozer

United

States

Abstract: In hard rock mine operation, the gravitational segregation of ore particles within a stockpile

creates a high variation of particle size. This issue hampers productivity in the comminution process and

has a direct effect on the daily output of produced minerals from the mine. Dozer operation can be facilitated to mix the stockpile materials for maintaining a more homogeneous particle size distribution,

however this can lead to potentially hazardous situations for the machine and operator due to the dynamic

nature of the stockpile. The autonomous bulldozer is a new trend for mine equipment operation, improving

the safety of dozer operators working in the stockpile by removing them from the machine altogether. This

paper describes path-planning strategy for autonomous dozers to operate over a stockpile within a defined safe region. The proposed strategy employs feedback from 3D level sensors, to associate a level zone with

an expected particle size and direct the dozer based on current SAG mill feed rate. Simulation results

predict acceptable behavior, provided that sensor accuracy meets certain specified constrains.

185 Ismael Soto, Pablo Adasme, Enrique San-Juan, Claudio Valencia and Cesar Azurdia-Meza. New triangular VLC cell plus protocol to uplink the data in VSAT/GPS format

Chile

Abstract: The purpose of this document is to present a new triangular VLC cell and a new protocol to

upload the data in GPS format to a remote control station, for the supervision of a person or device in an

underground tunnel. Trilateration and calibration studies of a VSAT satellite signal are carried out. In addition, the performance studies of the solution are presented.

28 Joselyne Andramuño, Nino Vega and Pablo Parra. Industry 4.0 Embedded Systems Network Ecuador

Abstract: Nowadays, Industry 4.0 is based on integrated systems for the control of its processes, that is

why in this research work, we describe the implementation of a network between Raspberry and Arduino

for the control of a level plant. The plant has two different controllers designed specifically for level and

flow control, one is an adaptive control and the other is a cascade control, for which we previously found

the mathematical model and the optimal operating ranges. To control the input / output signals, we created an HMI to visualize them in a better way and to obtain the data in real time a code was designed in C ++

language in Arduino. Finally, the results and conclusions that we obtained are that in spite of the

disturbances that are made manually, they are minimally reflected in the output.


TRACK 11 Session 24

S24 T11 Wed 30 Oct S24 T11 Information Technologies and Communication Systems Session Chair: Eduardo Costoya Room 6


14:00 136 Hector Kaschel, Sergio Cordero and Eduardo Costoya. Analysis and Evaluation of Radio Mobile program on Line

of Sight paths, with SRTM and ASTER DTEDs and its v11.6.6 / v9.1.6 versions Chile

Abstract: This document, as a continuation of a paper presented by the authors in IEEE-ACCA.- Concepción 2018,

addresses an unexpected outcome on the propagation simulations on 24 Line of Sight TV links in Santiago,

performed with last version of the freeware Radio Mobile and SRTM1 elevation data. Most of those links behave as having a high reflection level not consistent with the characteristic of the profiles involved. On a search for an

answer, links and terrain parameters were deeply analyzed but still not explaining the discrepancies. Further

analysis and simulations were performed involving ASTER, another compatible digital elevation data and later

with a previous propagation model of Radio Mobile..

29 Gabriel Salazar, Raul Haro-Baez and Diego Benitez. On the Design of Single and Dual Band Wilkinson Power

Dividers for C-band Applications using Microstrip Technology Ecuador

Abstract: In this paper, the design and analysis of three single-band Wilkinson power dividers that work at 4 GHz, and a double-band Wilkinson that works on the C-band uplink and downlink, 6 GHz and 4 GHz respectively, are

presented. The structure of the power dividers and the formulas used to determine the design parameters have been

given. Two designs for the single-band Wilkinson divider are presented, the first design consists of an internal

section with electrical length lambda/4 and Zo=70.71 Ohms, meanwhile the second design consists of three

sections with impedance calculated using Chebyshev approximation. The dual-band Wilkinson power divider have a T-structure composed of two impedance in series and one stub.

90

Gabriel A. León-Paredes, Wilson F. Palomeque-León, Pablo L. Gallegos-Segovia, Liliana I. Barbosa-Santillán,

María M. Paredes-Pinos, Paúl E. Vintimilla-Tapia and Jack F. Bravo-Torres. Presumptive Detection of

Cyberbullying on Twitter through Natural Language Processing and Machine Learning in the Spanish Language Chile

Abstract: Nowadays, the constant development of information and communication technologies (ICTs) has changed the interpersonal interaction, allowing to transfer real experiences to a virtualized medium such as

Internet. In this sense, although the space-time barriers of traditional communication are broken and social

relationships are strengthened, problems related to adverse behaviors may arise. Bullying, defined as an act that

threatens a person's holistic well-being, becomes cyberbullying when it is done over Internet, causing anxiety problems, depression and even suicide attempts. For this reason, it is essential to detect this type of behaviour in

time. This research deploys a Spanish cyberbullying prevention system (SPC), which relies on Natural Language

Processing (NLP) methods and different machine learning techniques (Naive Bayes, Support Vector Machine and

Logistic Regression), using Twitter as the basis for the extraction of knowledge bases or corpus.

63

Pablo Palacios, Cesar Azurdia Meza, Milton Román-Cañizares, David Zabala and Ismael Soto. BER Performance

of OFDM-Based Visible Light Communication Systems Chile

Ecuador

Abstract: In this paper, OFDM techniques designed for Intensity Modulation/Direct Detection (IM/DD)

modulation applied to Visible Light Communications (VLC) systems are evaluated. These are Asymmetrically

Clipped Optical OFDM (ACO-OFDM), DC Biased Optical OFDM (DCO-OFDM) and Asymmetrically Clipped DC Biased Optical OFDM (ADO-OFDM). These techniques are evaluated and compared for different types of M-

QAM modulation, in terms of Bit Error Rate (BER). It is shown that ACO-OFDM,

213 Tomás Lara, Oscar Cartagena, Sandra Céspedes and Doris Sáez. Robust Model Based Predictive Control for a Cooperative Cycling Cyber-physical System Chile

Abstract: Thanks to the massive adoption of bicycles in many countries, congestion issues over the cycling

infrastructure are becoming common. When the congestion occurs, the natural formation of platoons brings

benefits in terms of efficient use of cycling roads; however, it also brings concerns in terms of security of cyclists due to a lack of explicit coordination. In this context, group cycling supported by a platoon-based cyber-physical

system has been previously proposed but the system encountered problems in terms of spacing control, in particular

for large group sizes or highly variable group leader speeds. In this work, we propose a Robust Predictive Control

with fuzzy intervals models strategy for the coordination of a cyber-physical system for bicycle platoons, in order

to maintain a constant space policy under human-related physical limitations and human misinterpretation of the system acceleration signals. From the analysis made using simulations, it is observed the better performance of

RMPC based control mechanism in comparison with the existing sliding surface control method.

102 Daniel Cardenas and German Arevalo. Flag Based All Digital Timing Recovery Ecuador

Abstract: We implemented an all-digital timing recovery i.e. without a VCO, that works in case the receiver is

faster or slower than the transmitter and with no need of decimation, unlike other implementations. This system

takes advantage of and is suitable for parallel structures.

12 Omar A. Sepúlveda-Cordón, Jhon Alexander Vega-Martínez and Juan Sebastian Gonzalez Sanabria. Algorithm

for volumetric projection in PostgreSQL and Oracle DBMS Colombia

Abstract:: This article presents the implementation of a algorithm to calculate the volume and size of a database, wheredifferent ways to perform the mathematical operations that predict such size are shown in the Database

Management SystemPostgreSQL and Oracle. In order to optimize this process, software is built that contributes

to the decrease of the time used inthe realization of calculations and manages to generate, in the usea vision that

helps in the analysis and making the right decisionthat allow selecting the Hardware that must be implemented in thmachine where the database is located. With the implementation othe algorithm can give a broader view of each

of the tables, growthin size and volume of the database in real time.


TRACK 11 Session 30

S30 T11 Wed 30 Oct S30 T11 Information Technologies and Communication Systems Session Chair: Darwin Aguilar Room 6


16:30 30 Darwin Aguilar, Jorge Alvarez, Paola Leon and Sergio Carranza. Energy Efficiency in routing protocols

maintaining the quality service applied to the wireless sensor network Ecuador

Abstract: This research project has the analysis of energy efficiency in a network of wireless sensors (WSN),

the research is composed of three parts, the first focuses on the study of wireless sensor networks, presenting

different approaches topologies, protocols Routing focused on the quality of service (QoS), the second part

covers the deployment of different networks in different topologies, with three routing protocols varying the

powers of transmission of the used specks and the third part has the measurement of the intensity of current in order to analyze the energy efficiency of the different wireless sensor networks implemented.

9 Daniel Icaza. Telecommunication System for the Monitoring of Tourist Hotels Type Airplane and Heritage

Monuments Supplied by Solar Energy. Ecuador

Abstract: The objective of this article is to present the general design of the monitoring system of tourist hotels

type airplane and heritage monuments in the Austral zone of Ecuador, with the purpose of keeping controlled

these spaces that are recovering in the case of heritage monuments and in the case of tourist housing is beginning with its implementation. It is important to keep controlled since being in rural areas are prone to

anomalies at some point by national or foreign visitors. For this purpose, dome-type surveillance cameras are

used, and in some specific spaces, fixed cameras that, according to the existing infrastructure, must be

permanently monitored from a zonal center ECU 911 in the City of Cuenca as well as in the City of Azogues.

72

Hans Cabrera M., Britam Gomez A., Jorge Torres C., Anibal S. Morales and Guillermo Ramirez A.. Integration

of Industrial Power Quality Analyzer and Open Source Hardware and Software Solution for Microgrids

Monitoring

Chile

Abstract: This paper presents a wireless, multi-platform, cost-effective solution for monitoring end-user electric

power distribution systems. The solution is based on Raspberry Pi open source hardware and software

integrated to commercial power quality analyzers using Modbus TCP/IP industrial communication protocol.

The application layer is implemented using Python programming environment. Finally, the proposed system

architecture is validated monitoring a 40 [kWp] solar photovoltaic microgrid.

19 Washington Fernandez, Krzysztof Herman and Arturo Rodriguez. Results preliminary of the Performance of

Non-Binary Quasi Perfect Code for Noise Channel Class A Chile

Abstract: In this article are designed non-binary quasi perfect codes that can correct errors of burst of

dimension: 1, 2, 3, 4 and 5. The performance on a channel with noise class A is studied. According to the results

obtained, these codes are optimal for transmission channels that have noise of class A, because they lower in a

very significant way the probability of error symbol on the receiver.

27 Jorge Gomez, Yesica Beltran Gomez, Manuel Perez, Rafael Linero-Ramos and Luis Leonardo Camargo Ariza.

Ray-Tracing Algorithm for Wireless Channel Modeling in Indoor Environments Colombia

Abstract: This work proposes a simulation algorithm for modeling a wireless channel in indoor environments,

based on the two-dimensional ray tracing method that considers the effects of channel dispersion. The algorithm

implemented in Matlab, allows to simulate scenarios of rectangular plants of different dimensions and with different types of walls into a building. The proposed algorithm was validated with analytical models and

commercial software (Wireless Insite). To carry out the modeling, the dispersers, the dielectric characteristics

of the materials, the frequency and the distance, among others, are taken into account; The effects of reflection,

refraction and diffraction phenomena are also included to increase the accuracy of the prediction. The presented

work proposes an algorithm to estimate the power received in a wireless channel for interiors that seek to perform the channel estimation. A simulation of a real scenario is obtained

91

Cinthya M. Cevallos-Ludeña, Jack F. Bravo-Torres, Paúl E. Vintimilla-Tapia, Gabriel A. León-Paredes, Pablo

L. Gallegos-Segovia and Esteban F. Ordóñez-Morales. Ecuadorian mass media on Twitter during the 30-S Chile

Abstract: Internet and the massive deployment of mobile and wireless communication systems and devices are

generating new digital environments that are drastically changing the way in which social ideas and debates

are produced, accessed and disseminated. Online social networks are becoming the virtual public spheres by

which the social and political events of this network society are being debated. Given this new digital and

technological context, many researchers are questioning the processes of dissemination of the information generated into these virtual social structures and the validity of the traditional models of media influence in

these environments. In this paper, we present the results of an empirical analysis of the dissemination of

information on Twitter produced by two large Ecuadorian newspapers: ``El Universo'' (private newspaper) and

``El Telégrafo'' (public newspaper) during events of police insubordination on 30th September 2010.


TRACK 12 Session 29

S29 T12 Wed 30 Oct S29 T12 Internet of things IoT Session Chairs: Víctor Grimblatt, Jose´Mardones Room 5


16:30 196 Nicolás López, Cesar Azurdia-Meza, Claudio Valencia and Samuel Montejo-Sanchez. On the performance

of 6LoWPAN using TSCH/Orchestra mode against a jamming attack Chile

Abstract: The active jamming for disrupting legitimate transmissions is currently one of the most used

techniques by attackers. These attacks are difficult to detect and have been little addressed in low power and lossy networks (LLN), for instance there are few simulations of scenarios that consider the presence of an

attacker in LLNs. In this work it is simulated the presence of an attacker in an LLN with IPv6 over the Time-

slotted Channel Hopping (TSCH) mode of IEEE 802.15.4e and over the most recent Orchestra mode. The

results show remarkable variations, in terms of Packet Data Rate (PDR) and energy efficiency, on the

simulated scenarios when a malicious node is present, despite the Medium Access Control (MAC) mode used. For instance, the PDR shows a variation of 20% and the energy consumption 20% in the jamming

scenario.

202

Krzysztof Herman, Patricia Saez, Washington Fernandez, Leon Bravo and Carolina Sanhueza. Distributed

Sensor Actuator Network for Antarctic Plants Studies Chile

Abstract: This paper describes some problems related to design and implementation of a custom sensor

actuator network, which is going be applied in the Antarctic studies. The article draws an extensive biological

context, describes the details of a biological experiment to be taken and addresses issues related with the

environmental and logistics condition in the Antarctic area. The rest of the article describes the design process

under certain constrains that originates form the specific methodology and specific place. The case study terminates with a detailed description of a prototype of a generic scalable sensor actuator network based on

CAN protocol and results of temperature and humidity data acquisition using contact and contactless sensors.

48

Fernando Palacios, Orlando Philco and Luis Córdova. ANALYZING AND IMPROVING QUALITY OF

SENSING IN WIRELESS SENSOR NETWORK Ecuador

Abstract: Based on critical analysis, this paper presents an efficient Four Tier (4Tier) method which is

comprised with following four phases: (i) clustering phase, (ii) sleep scheduling phase, (iii) coverage

enhancement phase, and (iv) routing phase. In clustering phase, Neuro-Fuzzy based Affinity Propagation

(NFAP) algorithm is involved to cluster sensor nodes in the network. Energy Efficient Sleep/Listen

Scheduling (ESLS) algorithm is employed in sleep scheduling phase which results in enhanced energy efficiency. To overcome coverage problem in WSN, Hybrid Analytical Hierarchy Process (HAHP) is

involved in third phase.

55 Ricardo Pérez-Guzmán, Yamisleydi Salgueiro-Sicilia and Marco Rivera. Microgrid Power Sharing Controller based on OFDM with QPSK and 64 QAM

Chile

Abstract: In recent years, the concept of a microgrid cluster has gained popularity and importance, due to

increasing need off a complex, secure and efficient electrical network. Thise increase in complexity demands control strategies in real time, to ensure the proper functioning of the electrical system. In this research a new

communication system is proposed for power sharing in a microgrid cluster. To this, two modulation

technologies are used on OFDM and the results compared. The communications channel has been designed

according to the characteristics of dispersion, attenuation and noise, which are found on the applied

environment. The study is accomplished from a simulation model implemented in MATLAB.

11

Rafael Nilson Rodrigues, Leonardo Santiago Benitez Pereira and Gabriel Antonio Massuyama. Protótipo de

Portal de Gerenciamento Energético (PGEN) para Instituições Públicas Brazil

Abstract: This paper proposes the development of a low-cost prototype for monitoring the consumption of

electricity in real-time based on ISO 50001 (Energy Management Systems) using communication with electronic meters of power distribution companies. Global energy consumption has risen drastically. In

Brazil, although economic growth in recent years has been underwhelming, the growth rate of energy

consumption has steadily risen. At the beginning of 2015 important adjustments were made to the energy

tax. Within the state of Santa Catarinathe National Agency of Electrical Energy of Brazil (ANEEL) approved

a readjustment of 43% on the bills of industrial customers of electricity.

157 José Mardones, Lorenzo Reyes-Chamorro and Pablo Chandía. Smart City Ecosystem: model and preliminary

results of its real-scale implementation Chile

Abstract: The Smart City concept considers the collaborative use of information among several actors of a

city, such that quality of life of its inhabitants is improved. Several authors have defined a smart city

proposing a systematization of actors, focus areas and interactions among them. In this paper, we first present

a review of the most commonly-used definitions of smart city. These visions are the base of the main proposal

of this paper, a Smart City Ecosystem that, focused on the Chilean case, concretely defines layers of infrastructure, organization and coordination, services and entertaining.

231 Luis Aravena-Muñoz and Diego Aracena Pizarro. Environmental monitoring and warning system at strategic

points in the city. Chile

At present, air quality is a subject of worldwide studies, for this reason the design and implementation of an

environmental monitoring and alert system is proposed, which collects information from the area in charge

automatically and distributes it to a system which is responsible for carrying out the storage of the information, as well as activating alerts if necessary. The data capture nodes communicate through the ZigBee

wireless network allowing information to flow to the MQTT server brokers, where the Application receives

this information and data can be captured from the sensors that are on the nodes and study the scenario under

control. For system calibration, system tests are performed, comparing it with a manual air quality prediction

application.


TRACK 13 Session 15

S15 T13

Wed 30 Oct S15 T13 Others Topics Room 3


9:00 267 Ever Diaz Cristaldo and Jorge Molina. Description of the data obtained with the CCD detectors of the

CONNIE experiment (Coherent Neutrino Nucleus Interaction Experiment) Paraguay

Abstract: This paper describes the energy spectrum measured by the CCD (Charge-Coupled devices) detectors of the CONNIE experiment that looks for the Coherent Elastic Scattering process between Antineutrinos coming from a nuclear reactor and silicon nuclei. The background registered by the CCDs were studied with the GEANT4 toolkit, through the

simulation of atmospheric muons and beta particles coming out from the lead used to shield the detectors. The amount of both contributions were estimated from data, with the result that the contribution of Beta particles is negligible in this case.

149 Yamisleydi Salgueiro Sicilia, Marco Rivera and Gonzalo Nápoles. Multiobjective Metaheuristics to the Optimization of Microgrids Planning and Management

Chile

Abstract: Microgrids are essentially an aggregation concept in low-voltage grids with a high penetration of renewable energy sources. During the last years, we observed a rise in the use of multi-objective metaheuristics in the optimization

of microgrids' planning and operation. In this paper, we survey the technical elements of multi-objective metaheuristics, essential for the construction of robust solutions and often ignored by researchers. We identified the main problems of the multiobjective metaheuristics applications in the microgrids' planning and management, and provide explanatory comments and recommendations based on experimental studies and previous works. Additionally, we provide

recommendations for comparisons between multi-objective metaheuristics. This work serves as a guide for researchers in the area and will allow obtaining increasingly robust solutions.

255 Alexi Delgado. An approach to analyse social development in South America by Shannon entropy theory Peru

Abstract: In the world, the level of social development in a country is an important factor since it guarantees the

improvement in the quality of life in its population. In our study, we will measure social development using both quantitative and qualitative variables to estimate the level of development of the countries in South America for the year of 2016, considering the variables of impact in this part of the region. The entropy-weight method, which is based on the Shannon entropy theory, was applied to obtain a ranking that shows the level of social development in the analyzed

countries. The entropy-weight method was applied to calculate the weight of the criteria, and then the countries studied were classified according to the results of a weighted sum. In addition, in this work, an informative map of social development in the mentioned countries is presented, which varies in a scale of colors with the ranking data. The results of this study could help to governments to make the best decision on social developed of their coun tries.

117 Juan Manuel Jr. Calle Gómez. MECHANICAL SYSTEM FOR BRAILLE READING Peru

Abstract: Blind people face several problems when it comes to access information. Their only way to do this is by using Braille script, which consists of an alphabet being represented by combination of six pierced dots. This makes learning process very difficult for people with visual disabilities, and that is why different Braille electronic devices have been

created in order to support them, but the problem lies in the extremely high price they have, making it impossible for most of the population to acquire it. For this reason, in this paper will be explained the elaboration and operation of an electro mechanic refreshable Braille cell that will facilitate learning at a low cost. The operation of this prototype is based on sending clear information through a computer, which will activate the solenoids; these being the actuators of the system,

will allow to activate some vertical pins that blind people can feel with their fingers and understand letters to read what is being transmitted. All this controlled by a simple Arduino code.

128

Raul Carrasco. Climate change and sustainable life: Analysis of the negative environmental impact generated

by organizations in Chile Chile

Abstract: This paper addresses the environmental impact generated by organizations in Chile and how companies collaborate with climate change and sustainable life. Under this context, the Government of Chile, through the National Council of Clean Production, and other government entities, have proposed the Clean Production Agreement as a solution to the generation of waste, instilling culture and awareness regarding the environment and its care. Exposing, how Chile

has been in a constant commitment to society and the world.


TRACK 13 Session 34

S34 T13 Thu 31 Oct S34 T13 Others Topics Session Chair: Rafael Álvarez Nuila Room 4


9:00 107 Rafael Álvarez, César Echeverría, Marvín Fortín and Erick Blanco. Design of Device IoT Parameter Collector at

Photovoltaic Panels

El

Salvador

Abstract: This paper describes the design and functioning by stages that compose the environmental and electric parameter recollecting device for research Purposes, energetic efficiency, that take place in the production of

electric energy using a photovoltaic panel. The device has a local storage through an uSD memory card and

remote cloud storage. The device is classified as an IoT device. The information can be accessed through a

mobile app. It has temperature, UV rays, light, current, voltage and power sensors. A prototype of the device has

been constructed and the results of this prototype are shown in a display and the electric variables were compared using a calibrated multimeter.

156

Leonardo Santiago Benitez Pereira and Rafael Nilson Rodrigues. Machine Learning aplicado à eficiência

energética de consumidores de grande porte

El

Salvador

Abstract: The use of electric energy is rapidly increasing, so it is essential that users improve their understanding

of electric consumption, thus reducing waste and improper use. The present work uses Machine Learning

techniques (specifically Linear Regression and Random Forest) to model the relationship between electricity

consumption and climatic conditions within the Federal Institute of Education, Science and Technology of Santa

Catarina (IFSC) and the Ministries Esplanade (headquarters of the Brazilian Executive, in Brasilia). Historical data of active power, ambient temperature and atmospheric pressure obtained from the database of the project

PGEN. The results show that the model allows predicting the instantaneous energy consumption of the localities

with an average error of 22.75% KW. The building of the Ministries Esplanade obtained the lower errors, and the

campus Florianópolis obtained the bigger erros.

155

Leonardo Santiago Benitez Santiago and Rafael Nilson Rodrigues. Aplicação de Clustering na indústria mineradora: um estudo de caso

Brazil

Abstract: The volume of data collected in the industry has grown rapidly in recent years, transforming into a

challenge the task of analyzing this data. To identify patterns and improve industrial processes, several Artificial

Intelligence techniques can be used, especially clustering methods. This work applies the technique of clustering in a mining process, performing a case study in a public database about a flotation process in an iron mining. The

K-means algorithm was used, and it was able to identify a clear pattern about some of the input variables.

218

Eduardo Adrian Ortigoza Moreno, Marco Quintana, Matías Ramírez, Richard Ríos, Victorio Oxilia and Gerardo

Blanco. Use of electric vehicles to achieve sustainable development goals in countries with surpluses of

hydroelectricity: case of Paraguay

Paraguay

Abstract: The motivation of the work is to explore a sustainable alternative of consumption of hydrocarbons in

transport and analyze the impact of the insertion of electric vehicles in the national energy matrix, specifically

private vehicles. This analysis was carried out by developing an integrated bottom-up energy model using the

LEAP © (Long-range Energy Alternatives Planning System) software, focused on the particular transport sector.

The measure adopted is based on the inclusion of electric vehicles in the Paraguayan automotive fleet, in order to reduce fossil fuel consumption by 20% in the private transport sector, thus helping to meet some of the objectives

of the National Development Plan Paraguay 2030.

100

Jimmy Gutierrez-Bahamondes, Yamisleydi Salgueiro Sicilia, Daniel Mora Melia, Marco A. Alsina Corvalan,

Sergio A. Silva and Pedro L. Iglesias-Rey. Evaluation of Multiobjective Evolutionary Algorithms for Pump

Scheduling Problems

Chile

Abstract: The shortage of drinking water is one of the biggest problems facing humanity today. The solution to this problem necessarily involves making optimal use of this resource starting from the pumping. Determine the

water pumping regime that allows minimizing energy costs and maintenance to meet the demands of a city is a

complicated optimization problem. One of the steps to solve this problem is to determine the multi-objective

optimizer has better performance. The objective of this work is to provide a tool that allows the comparison of

multi-objective evolutionary algorithms (MOEAs) through the combination of the \emph{Epatoolkit} library of Epanet and the jMetal framework. For this, we develop the link between both tools. In this work, the use of tools

in the comparison of the MOEAs NSGA-II, SPEA2, and SMPSO are validated to optimize the pumping regime

in the Vanzyl, Baghmalek, and Anytown water distribution networks. The experimental results show that the

combination of jMetal and \emph{Epanetolkit} from Epanet provide the ideal environment to perform these

comparisons effectively. Allowing through the quality indicators Spread, Epsilon, and Hypervolume statistically validate the superiority/competitivity of one method. This new combination is of high potential for researchers in

the area because it allows made decisions based on the problem studied characteristics.


TRACK 14 Session 2

S2 T14 Tue 29 Oct Session 2 Track 14 Power Electronics Session Chair: Glen Farivar Room 2


14 :00 253 Alfredo Renault Lopez, Magno Ayala Silva, Julio Pacher, Leonardo Comparatore, Raul Gregor and Marco

Rivera. Analysis of H-Bridge STATCOM with Fault Phase Controlled by Modulated Predictive Current Control Paraguay

Abstract: This paper presents the model-based predictive current control (MPC) applied to a four-wire three-

phase STATCOM based on the three-level H-Bridge converter. The main advantages of MPC are its simplicity, easy inclusion of restrictions and fast dynamic response. However, MPC uses a variable switching frequency and

this causes a lot of current ripple and a high total harmonic distortion (THD). This article proposes a modulation

strategy, at a fixed switching frequency, in order to mitigate the propagation of the THD of the current injected in

the point of common coupling (PCC). It is considered a critical operation of the STATCOM operating with a

fault on one of the phases of the electrical network. Theoretical results based on simulations are provided to show the performance of the proposed control.

109 Glen Farivar, Ezequiel Rodriguez, Hossein Dehghani Tafti, Christopher Townsend and Josep Pou. Modular

Switched Capacitor Application in Low Capacitance Static Compensator Singapore

Abstract: A low capacitance cascaded H-bridge static compensator (StatCom) with additional switches on the dc-

side is presented in this paper. The switching capability of the dc capacitors provides opportunities for choosing

optimal semiconductor technology by distributing the losses between the dc-side switches and the main H-bridge

switches. Having additional switches on the dc-side helps to easily modularize the capacitors to control the ripple

on the capacitors voltages. Simulation study on a 8.5 MVA StatCom system is used to confirm the viability of using modular switched capacitors in the low capacitance cascaded H-bridge StatCom systems.

1 Sergio Toledo, Marco Rivera, Tomislav Dragicevic, Pat Wheeler, Raúl Gregor and David Caballero. Predictive

Voltage Control of the Direct Matrix Converter applied to Grid Current Injection Chile

Abstract: Predictive control applied to direct matrix converter provide a feasible option to control the output

voltage of a generation system with good performance. In this work a predictive voltage control strategy is

proposed as the inner loop control of an outer PR current control strategy to inject controlled power to the main

distribution grid from an AC generation system. The proposal shows good performance in terms of THD and

desired current traking.

54 Jose Luis Elizondo and Marco Rivera. Wind Energy Development and Technology in the World: A Brief

Overview Chile

Abstract: A brief overview of wind energy 2018 market status with short- and long-term projections will be

presented, as well as the wind turbine technologies and market share. Furthermore, clean energy goals from the governments of Denmark, Mexico and Chile will be mentioned, highlighting the world’s ongoing transition to a

low emissions society.

249 Alberto Duran, Matias Diaz, Efrain Ibaceta, Felix Rojas and Pat Wheeler. Direct Power Control of Modular

Multilevel Matrix Converter for Flexible AC Transmission System Applications Chile

Abstract: The Modular Multilevel Matrix Converter (M3C) is an AC-AC converter suitable for high-power

applications due to its characteristics such as modularity, redundancy, control flexibility and high power quality.

However, complex control systems are needed when its ports operate at equal frequencies. Therefore, the

application of the M3C in equal frequencies applications, such as Flexible AC Transmission System (FACTS), can be restricted. This paper presents a direct power control of an M3C for FACTS applications, including an

enhanced control system to regulate the floating capacitor voltages, whereas the converter provides functions of

FACTS. The effectiveness of the proposed control system is validated through simulations implemented in

PLECS software.

250 Efraín Ibaceta, Matíaz Díaz, Alberto Durán, Felix Rojas, Mauricio Espinoza and Andrés Mora. Vector Control of

a Modular Multilevel Matrix Converter for Variable-Speed Drive Applications Chile

Abstract: The Modular Multilevel Matrix Converter (M3C) has been proposed as an appropriate alternative for

high-power machines due to characteristics such as modularity, medium-voltage operation, high power quality, reliability. Nevertheless, the control of M3C is complicated, especially in variable-speed applications, because

large voltage oscillations can be produced in the floating capacitors. Therefore, this paper presents a vector

control system that allows decoupled regulation of the floating capacitors of the M3C, whereas Field Oriented

Control (FOC) is applied to regulate an induction machine. The proposed control strategy considers an enhanced

start-up of the machine for different load conditions.

60 Hugo Muñoz, Apparao Dekka and Ricardo Lizana. Voltage Balancing of 5 Level Modular Flying Capacitor

Converter With a Carrier-Based Modulation Scheme Chile

Abstract: The 5-Level Modular Flying Capacitor (5L-MFC) converter is realized by connecting two three-level Flying Capacitor modules in series. In this paper, a simple voltage-balancing approach based on the carrier-based

modulation scheme is proposed to achieve the internal capacitor voltage balance. The proposed approach uses the

redundancy switching states along with the current direction and the instantaneous value of the dc-bus capacitor

voltage to achieve the voltage balancing in the 5L-MFC topology. The dynamic performance of the 5LMFC

topology with the proposed voltage-balancing approach is presented.


TRACK 14 Session 8

S8 T14 Tue 29 Oct Session 8 Track 14 Power Electronics Session Chair: Marco Rivera Room 2


16:30 262 Ricardo Enrique Pérez Guzmán and Marco Rivera. Weighting Factor Design in Model Predictive Control for

Power Converters Chile

Abstract: This research shows different alternatives to improve the cost function in model-based predictive

control (MPC) in power converters. For this purpose, the procedure for adjusting the weight factors in the cost

functions, all relevant elements and some application examples that demonstrate the influence of each term in

the equation is presented. In addition, the cost functions are characterized and simulated to verify the

effectiveness of the working method and the claims made in this investigation.

147 Felipe Rojas, Carlos Baier, Roberto O. Ramirez, Manuel A. Diaz and Pedro Melin. Aplicación del Sistema

Zynq 7000 en el Control de un Convertidor Boost Chile

Abstract: This work shows the implementation of a non-linear control and the modulation to regulate the

voltage in a Boost converter, using a Chip System (SoC), specifically in the Zynq-7000 chip. The main

objective of this work is to define a procedure for the implementation of control and modulation in converters

using the Zedboard development card. This card based on the Zynq-7000, consists of a processing system (PS) and a programmable logic system (PL), which allows the operation of a digital signal processor (DSP) next to

an array of programmable doors ( FPGA) in a single integrated.

70 Nicolas Rebolledo and Ricardo Lizana F. Extension Topologies for Modular Multilevel Series/Parallel

Converter With Switched-Inductor Energy Transfer Between Modules Chile

Abstract: This paper presents three extension topologies for the modular multilevel series/parallel converter

(MMSPC) with intermodule switched-inductor power transfer. The switched inductor voltage conversion

feature allows controllable and efficient transfer of energy between modules with nonnegligible voltage difference, providing both step-down and step-up functionalities. Thus, this converter can accurately control

and rapidly adjust the voltage of each module to generate an ac output voltage waveform with a controllable

number of levels, increasing the quality of the output. In this paper, is presented three novel configurations, in

order to increase the flexibility and number of output voltage levels to the standard MMSPC with intermodule

switched-inductor power transfer topology.

106

Luis Ramon Merchan Villalba, Jose Merced Lozano García, Alejandro Pizano Martínez, Xiomara Gonzáles

Ramírez, Hector Javier Estrada García and Enrique Arnoldo Zamora Cárdenas. Static Synchronous

Compensator based on the Matrix Converter

Mexico

Abstract: In this paper, a Static Synchronous Compensator based on the direct Matrix Converter (MC-

STATCOM) is proposed for reactive power compensation. The MC-STATCOM allows to eliminate the

energy storage device utilized in conventional STATCOM topologies, besides improving some of its operational characteristics. This device is controlled through a linear control strategy in order to ensure its

stability and dynamic response.

236 Jordan Salgado, Félix Rojas, Javier Pereda, Matías Díaz and Gustavo Gatica. Control lineal aplicado a un

convertidor DC/DC bidireccional no aislado con técnica Interleave alimentado por fuentes variables Chile

Abstract: Currently managing large power flows in DC has become a fundamental issue, in this area the DC /

DC converters play a very important role, so techniques such as Interleave have taken relevance as they allow

to increase the power that They manipulate these converters by connecting multiple sub-converters in parallel. However, for this technique to be applied, a control system that is capable of balancing the currents by sub-

converters is necessary. In addition, when these converters operate with DC links that are variable over time,

such as electric batteries, using linear control techniques becomes complex because the transfer functions, or

plants, that describe the dynamics of the converter change. In this article, a linear control strategy is presented,

applied to a Synchronous Buck converter, which allows N converters to operate in parallel, operating in Interleave mode, balancing the currents in each of the sub-converters and maintaining its dynamic response

invariant over a wide range of operation, even when your DC links vary.

184 Sebastian Rojas and Marco Rivera. Control Techniques for a Single-Phase Matrix Converter Chile

Abstract: The direct single-phase matrix converter (SPMC) is a topology composed only of switches. This

feature makes it extremely important to have complete control of the six bidirectional switches that make up

it. This is why this article presents a comparison between two control techniques. A classic, composed of a

pulse width modulator (PWM) that together with proportional-integral-derivative control module (PID) make up the closed loop linear controller. Then, a modern technique known as Finite State Predictive Control (FCS-

MPC) is presented, which is based on the composite circuit model between the load and the converter

240

Jorge Saavedra-Pinto, Carlos R. Baier, Manuel Diaz-Bustos, Eduardo Espinosa and Pedro Melin. Control Predictivo de un Convertidor Monofásico Fuente Trans-Z

Chile

Abstract: This work proposes a direct predictive control applied to a single-phase Trans - Z source converter or SP-TZSI for its acronym in English. The characteristics of this impedance source topology based on a

magnetic coupling on the DC side, makes it an attractive alternative mainly in renewable energy applications .

One of the advantages of this topology is its reduced impedance network, capable of working with a lower

voltage stress on the H-bridge compared to its predecessor topologies.


TRACK 14 Session 14

S14 T14 Wed 30 Oct S14 T14 Power Electronics Session Chair: Fabian Diaz Room 2


9 :00 3 Ricardo Pérez-Guzmán and Marco Rivera. Predictive Control Strategies in Power Converters Chile

Abstract: Model-based predictive control (MPC) is an attractive solution for controlling power converters. In this

article the most recent investigations related to predictive control are addressed and the solutions proposed by the researchers are shown, illustrating also the effectiveness and flexibility of this control technique. In addition,

the classification of the most important types of predictive control is introduced and each of them is explained,

including some application examples. Predictive control has several advantages that make it suitable for the

control of power converters and drives.

61 Fabián Díaz, Marco Rivera and Héctor Chávez. Present and Future of the Chilean Electrical Grid Chile

Abstract: Nowadays, the electric sector in Chile demands new technological advancements. This paper presents

a description of the current reality of the Chilean electricity sector and its future. The vision and its advancements in Chile are matter of observation to develop a clearer picture for maintaining and increasing the penetration of

renewables towards global decarbonification and climate change mitigation.

251

Matias Malhue, Matias Diaz, Felix Rojas, Enrique Espina and Roberto Cardenas. A Parallel Fast Delayed Signal

Cancellation PLL for Unbalanced and Distorted Grid Applications Chile

Abstract: Phase-Locked Loops (PLLs) are a recognised alternative to detect grid frequency and phase angle,

which allow grid synchronisation of distributed generation units. Nevertheless, frequency and phase angle

estimation becomes complex in microgrid applications where unbalanced and distorted voltages are frequent. In this context, this paper presents a novel PLL structure for unbalanced and distorted grids. The proposed PLL is

based on a parallel Fast Delayed Signal Cancellation (FDSC) structure. Several FDSC are connected in parallel

to identify and eliminate different harmonics, allowing a fast and efficient fundamental frequency and phase

angle estimation. Simulations results are presented to test the performance of the proposed PLL under severe

imbalances and harmonics

254 Fabian Diaz and Marco Rivera. Architectures for Microgrids Interconnection Chile

Abstract: This paper presents a description of the current technologies for microgrids interconnection, with a

global review of the actual topologies and the last control strategies for the interconnection. The relevance of

high-voltage direct current (HVDC) electric power transmission on microgrids interconnection and some

examples of this area in the electrical market are also analysed.

188

Rodrigo Aliaga, Javier Muñoz, Diego Rojas, Ariel Villalon, José Troncoso and Patricio Gaisse. Predictive

Control of a Buck Converter for Photovoltaic Energy : An Experimental Implementation Chile

Abstract: Predictive control has emerged as a feasible alternative for the control of power converters for photovoltaic applications. In this work, a predictive control scheme is proposed to control a Buck converter that

works attached to a photovoltaic system and to a energy storage system. The predictive control is used to control

the current using the reference from the perturb and observe algorithm to assure the photovoltaic system is

working on the maximum power point. To prove the proposed control scheme, simulation and experimental

results are obtained. The results show clearly that the predictive control scheme applied to the buck converter is able to track the reference current coming from the pertub and observe algorithm in order to make the

photovoltaic system work efficiently.


ATRACK 14 Session 20

S20 T14 Wed 30 Oct S20 T14 Power Electronics Session Chair: Eduardo Espinosa Room 2


14:00 103 Dhanasekar Ravikumar, Ganesh Kumar Srinivasan and Marco Rivera. Improved Speed Control of BLDC Motor using Luo converter By Sliding Mode Control

India

Abstract: The classical buck converter for BLDC motor applications do not meet the load requirement containing

more ripples on the output voltage and parasitic effects. In order to overcome this effect, the additional filter

elements are added in the Luo-converter to eliminate the output ripples and effectively enhance the output voltage level. The output stage of the Luo converter is comprised of an inductor and capacitor so it naturally acts as filter.

The output stage stores and delivers energy to the load and smoothens the output voltage to produce a constant

output voltage. The Luo Converter acts as both buck and boost converter by varying the duty cycle. Thus this Luo

Converter is used for the proposed BLDC Motor Drive. The Sliding Mode Controller is used to make the speed of

the System constant in a small amount of time.

108 Vijayaraja L, Ganesh Kumar S, Ganesh B, Murugan N, Nallaswamy M, Rajkumar K and M Rivera. Implementation

of Twenty seven level and Fifty one level Inverter using constant voltage sources India

Abstract: A inverter to produce more output voltage levels using constant voltage sources fed to a resistive-inductive

load is presented. Cascaded multilevel inverter structure is modeled and studied for various levels of voltages by

implementing proper turn on and turn off states. Simulation for fifty one level inverter design structure is carried

out using MATrix LABoratory and percentage of harmonic content in the load voltage is examined. Further, real time development of twenty seven level cascaded inverter structures is implemented and the results are obtained

using digital storage oscilloscope. A 15V, 500mA transformers are used to step down the voltage from 230V to 15V

and further rectifiers are used to convert AC to DC voltage and used as source for multilevel inverter structure and

field programmable gated array.

125 Rodrigo Aliaga, Diego Rojas, Javier Muñoz and Ariel Villalon. Modified dq Transform Control for Three Single-

Phase Inverters under Unbalanced Conditions. Chile

Abstract: Unbalanced conditions are widely present in the power systems and microgrids. Inverters are essential to convert DC current into AC current. These power converters, to work properly, have to be controlled, even under

these unbalanced conditions. In this paper a new control strategy is proposed for three single-phase inverters

connected to a RL load under unbalanced conditions. The proposed strategy takes the classical strategy and add

constants to the Park transform. Thus, it is possible to control the currents to obtain proper waveforms for the

currents. The proposed technique is proved using simulations and obtaining experimental results implementing experimental setups.

174 Ramon Gutierrez and Marco Rivera. The Voltage Source Inverter Chile

Abstract: As to answer the need to convert DC power into AC to inject it into the grid, inverters are commonly used.

Among all their types, this document discloses the Voltage Source Inverter. On this paper it will be discussed its

topology, mathematical model, switching states and the characteristic curves of the inverter. Moreover, the authors

will analyze the concept of dead time, aiming to understand how to correctly start a VSI without damaging its components.

2 Ricardo Perez, Marco Rivera and Nicolas Vicencio. Model Predictive Control in Three-Phase Inverters Chile

Abstract: Model-based predictive control (MPC) is a recent alternative to improve the quality of the output in power

converters. In this research, predictive current control is implemented in a voltage source inverter, operating at a

variable switching frequency and at fixed switching frequency. Experimental results allowed to verify the

effectiveness of the predictive controller, as well as the advantages of the commutation strategies at variable

frequency and to fixed frequency. Values such as the percentage of total harmonic distortion (THD) and the absolute error of current allow to demonstrate the superiority of the strategies at fixed frequency in comparison with the

classical control.

139 Eduardo Espinosa, Pedro Melin, Jose Espinoza, Carlos Baier, Javier Muñoz, Marco Rivera, Galina Mirzaeva and Raul Gregor. FCS – MPC and Feedback Quantizer applied to a Multi-Cell AFE Rectifier

Chile

Abstract: Finite Control Set – Model Predictive is a control scheme widely used in power converters. The

advantages of this control are (i) the nonlinearities and constraints of the operation of the converter, (ii) the natural discrete operation of power converters, and (iii) rapid response to changes in references or disturbances. On the

other hand, one drawback in the Finite Control Set – Model Predictive Control is: non-fixed switching frequency,

which results in a dispersed harmonic spectrum, generating resonance or saturation in transformers. In this paper,

the Finite Control Set – Model Predictive Control is complemented with Feedback Quantizer, to improve the

harmonic spectrum of input current and PWM voltage of the power cell in a Multi-Cell AFE Rectifier. Simulation results confirm the validity of the proposal.


TRACK 14 Session 32

S32 T14 Thu 31 Oct S32 T14 Power Electronics Session Chair: Marco Rivera Room 2


9 :00 203 Marcos Andreu, Diego Zuñiga, Jaime Rohten, Ernesto Rubio, Fernando Pereira and Manuel Oviedo. Nonlinear Feedback Control in a Back-to-Back Topology under Distorted Grid Voltage

Chile

Abstract: Control of power converter is being widely studied to properly manage the variables and convert the

energy to reach the settled goals. Particularly, the insertion of renewable energies on the ac mains have focused

the attention of researchers to applied suitable control methods to inject power to the grid. In this document, a nonlinear control strategy for a power converter is presented. The back-to-back topology allows decoupling grids

by using a dc link between them. The energy transference and the power quality have to be controlled. Thus,

primary controllers have to design to meet certain values. Loads sensitive to voltage variations need to be handled

correctly. The proposal is tested by simulation, and the results validate the proposal.

219 Fernando Herrera, Javier Pereda and Pablo Bravo. Wave Energy Conversion: Overview and Control of a

Permanent Magnet Linear Generator Chile

Abstract: Renewable energies are growing fastly worldwide, especially solar and wind generation. However, the

diversification of power sources is key to have more stable and resilient power systems. Marine energy has one of

the highest potentials and most of the world population is near the sea. Wave energy is one of the most promising

forms of marine energy, which is achieving commercial viability with bigger projects and more mature designs.

However, the environment hostility and difficult access are still one of the main limitations of this technology. This paper presents the state-of-the-art of wave energy conversion (WEC), the power to take off (PTO) devices,

and the specific challenges of the converters and generator drives. Finally, a field oriented control (FOC) with

maximum power point tracking (MPPT) is proposed for a linear permanent magnet synchronous generator

(PMSG). The simulation results show the proper control and the specific characteristics of these types of

generation.

263 Edgar Maqueda, Sergio Toledo, David Caballero, Federico Gavilán, C Romero, Raúl Gregor and Marco Rivera.

An Assessment of Parallel connected Silicon Carbide based Electronic Switches Paraguay

Abstract: For the purpose of detecting any problems of parallel operation of SiC-MOSFET, the switching

waveforms of current of each device and the sum of each were observed in detail. The board of the SiC-MOSFET

bidirectional switch was utilized by changing the connection from series to parallel of the two SiC-MOSFETs.

Source current of the parallel SiC-MOSFET with separate gate driver, drain current of that with separate gate

driver, and drain current of that with single gate driver were examined. Even though two heat sinks were separated and switching frequency was 156 kHz, the temperature of the two SiC-MOSFET was 36°C in ambient temperature

of 25°C exhibiting excellent thermal stability. Switching waveforms of drain current of the parallel SiC-MOSFET

with single gate driver gave the best results.

234 Carlos Cerda, Félix Rojas, Cristian Pineda, Javier Pereda, Matías Díaz, Jordan Salgado, Gabriel Droguett, Darío

Valdés and Gustavo Gatica. Inductor design for a High performance DC-DC Modular Multilevel Converter Chile

Abstract: Lately, high-power DC/DC converters have been reported to directly transform DC to DC voltage at the

high and medium voltage range, such as Modular Multilevel DC/DC converters and Dual Active Bridges (DABs). However, one of its main limitations for a proper performance and high efficiency are passive elements, especially

inductors. A high-frequency inductor for high power applications, is a key element to achieve high efficiency and

high performance in such type of converters. In this paper, a simple method for the design of a high-frequency and

high-power inductor is presented. The theoretical design of the inductor is compared with an experimental

prototype, which is then implemented in a high-power DC/DC converter. Experimental results validate the accuracy of the theoretical design and the improvements on the efficiency on the overall DC/DC high power

converter.


TRACK 14 Session 38

S38 T14 Thu 31 Oct S38 T14 Power Electronics Session Chair: Ricardo Pérez Guzmán Room 2


11:30 42 James Arredondo Mamani. Bidirectional Series Resonant DC – DC for Aplications of Energy Solar Photovoltaic Non Isolated

Peru

Abstract: This paper, analyze a DC DC resonant series converter, composed of two complete bridges. This

type of converters, has a variety of applications, especially in renewable energy sources, this for its high

efficiency and low loss in switching. Therefore, an analysis of its equivalent circuit of the converter is made using the analysis of the Fourier series, with which using the concept of average current, it is shown that the

current flow depends only on the phase difference between these bridge bridges. The circuit is then

dimensioned for a power of 500 W and the converter circuit is simulated in PSIM

7 Ricardo Pérez-Guzmán, Marco Rivera, Felipe Herrera and Jose Riveros. Implementation of Predictive

Control in a Three-Phase Neutral Point Clamped Inverter Chile

Abstract: In recent years, multilevel converters have established themselves as an efficient technology for the conversion of medium and high power. This research presents a NPC multilevel inverter topology, using

two control strategies: classical predictive control and fixed frequency predictive control.

172 Huber Nieto-Chaupis. Fourier-Bessel Shapes in Output Photocurrents and Frequency Chirping Effects from

Laser Fields Peru

Abstract: We derive in concrete the electric field through the usage of the Fourier-Bessel series that appear

from the complex exponential in the most fundamental representation of an electric field emitted by an

optical source and resulting in the explicit apparition of modes that encompasses the field dynamics in a vertical cavity. This artificial mathematical methodology has as an advantage the explicit exhibition of

harmonics that is perceived as an inherent effect of the shirp phenomenon. Power spectrum encompasses to

some extent the morphology of the one measured in lab.

125 Rodrigo Aliaga, Diego Rojas, Javier Muñoz and Ariel Villalon. Modified dq Transform Control for Three

Single-Phase Inverters under Unbalanced Conditions. Chile

Abstract: Unbalanced conditions are widely present in the power systems and microgrids. Inverters are essential to convert DC current into AC current. These power converters, to work properly, have to be

controlled, even under these unbalanced conditions. In this paper a new control strategy is proposed for three

single-phase inverters connected to a RL load under unbalanced conditions. The proposed strategy takes the

classical strategy and add constants to the Park transform. Thus, it is possible to control the currents to obtain

proper waveforms for the currents. The proposed technique is proved using simulations and obtaining experimental results implementing experimental setups.


TRACK 15 Session 39

S39 T15 Thu 31 Oct S39 T15 Production and Industry Session Chair: Claudia Durán Room 3


9:00 215 Raul Carrasco. Identificación de factores críticos de estrés hídrico que impactan la gran minería Chile

Abstract: Planning water resources given the climatic conditions of recent years requires complex decisions, with the existing water shortage, alternatives that allow it to continue to be produced in the industry and the consumption

of urban and rural drinking water are limited. Seawater desalination is a high investment technology option that

can be used in agricultural crops, mining and other companies. In the investigation, water consumption in the

regions of Chile is studied and the case of the mining industry is presented.

119 Claudia Durán, María Carolina Parodi, Felisa Córdova and Fredi Palominos. Comparison of models and tools for

the prediction of trace metals of farming soils Chile

Abstract: Having soils that meet international standards, where fertilizers have an adequate concentration of copper that do not degrade the soil, is very important for farming. In this context, reliable and quality information is needed

to support decision-making on environmental risk issues, such as land use change, reduced fertilizer use time, the

choice of those with fewer trace elements such as copper etc. For this reason, in very important software simulation

that allows to estimate the effect of fertilizers on the concentration of traces in the future. Currently, it is possible

to use Hydrus 1-D, which is a free access and internationally used software, which however is difficult to handle data and of high mathematical complexity. This research proposes to alternatively use a model implemented in

Matlab, which performs functions equivalent to Hydrus 1-D, but with a soil database with a single screen input.

182 Rosalba Guerrero Aslla, Jose Dario Calderon Ortiz and Maria Esther Roncal Moscol. Identification of iron sulphides in gray iron produced in cubicle furnaces and their impact on mechanical properties

Peru

Abstract: The purpose of this work is to verify the presence of iron sulfides in gray laminar castings manufactured

in a cubicle furnace using high sulfur anthracite as fuel, and to evaluate their impact on mechanical properties. In

this work, 04 samples of foundries, 03 of high sulphur -above the standard for these materials- and one of low sulphur have been evaluated. The microstructural examination and analysis by scanning electron microscopy and

EDAX microprobe, indicated abundant presence of inclusions of manganese sulphides, associated with these, iron,

and mixed sulphides, of iron and manganese, in all samples, including low sulphur.


TRACK 16 Session 6

S6 T16 Tue 29 Oct Session 6 T16 Robotics, Artificial Intelligence and Vision Session Chair : Gustavo Schleyer Room 6


16:30 130 Roman Osorio-Comparan, Edgar De Jesus Vazquez, Ismael Lopez-Juarez, Gaston Lefranc, Mario Peña-Cabrera,

Roberto Tovar, Hector Kaschel and Cristian Ahumada. Vision System for a Kuka KR-5 Industrial Manipulator Mexico

Abstract: In this article, we present the design of a vision system to take objects without previous knowledge. It is

considered that these objects do not have a certain position. The manipulation will be carried out by an industrial

robot Kuka KR 5, which does not have a vision system, so a Microsoft Kinect camera is used, as well as the PCA

(Principal Component Analysis) algorithm to estimate the position and orientation of the objects within the robot’s workspace. Among the tasks to be developed is the communication between the camera and the manipulator, the

integration of additional components such as; ROS (Robot Operating System), Open CV, Solidworks and Matab

98 Gustavo Schleyer and Andrew Russell. Classification of Exogenous Anomalies and Self-Diagnosis in Autonomous Robots

Chile

Abstract: This paper presents methods for the autonomous identification and classification of disturbances that have

negative effects on a robot’s performance. The proposed methods have been implemented in a walking hexapod

robot provided with a number of sensors. Both, the robot’s sensorial information and a quantitative measure of the robot’s performance are obtained. This information is used for detecting, identifying and classifying obstructive

conditions that have a strong impact on the robot’s performance. Once the cause of a lack of progress in the robot’s

mission has been identified, suitable compensatory actions are found, executed and recorded. Then, when

previously experienced detrimental situations arise, the associated compensatory measures are immediately taken

without involving a searching process.

131 Carlos Mariscal, Roman Osorio-Comparán, Ismael López-Juárez and Gaston Lefranc. Architecture of a Rover and

its Navigation System Based on Artificial Vision Mexico

Abstract: Purpose of this work is to present the design of a Rover and its autonomous navigation system based in

the Stereo-LSD SLAM algorithm for reconstruction of 3D environments using solely artificial vision and its

implementation in the rover type mobile robot for lunar surface exploration named Dereumbot. Other objectives of

this work are to describe the systems architecture of such rover and its performance in significant tests, such as NASA competitions and analogue simulations.

13 Edward Andrés González Ríos, Jose Andrés Chaves Osorio and Juan Bernardo Gómez Mendoza. Two GBFS

working cooperatively to get a shortest path Colombia

Abstract: Abstract— This paper is carried out in order to verify if the mplementation of the concept of cooperative

work between two gents, that use path planners A* to obtain the shortest path (previous work of the authors) is

also valid when the cooperation trategy is applied using another path planner such as the socalled GBFS (Greedy

Best First Search). In this sense, this paper hows a path planning strategy that combines the capabilities of two Agents each one with its own path planner GBFS (slightly different from each other) in order to obtain

the shortest path. The comparisons between paths are made by analyzing the behavior and results obtained from

the Agents operating in different forms: (1) Working Individually; (2) Working as a team (cooperating and

exchanging information). The results show that n all analyzed situations are obtained shortest traveled distances

hen the path planners work as a cooperative team.

140 Mario Peña, Luis Amezquita, Victor Lomas, Roman Osorio and Gaston Lefranc. Visión Artificial en Sistema

Embebido para Reconocimiento de Piezas Rígidas Mexico

Abstract: in a research area and technological development known as “Robotics hardware and driving software. "

The article shows how it can be implemented a novel method based on the integration of an algorithm of

recognition and location for rigid forms based on the methodology of the “Boundary Object Function BOF” [Peña

2005] in an embedded electronic device of the RaspBerry Pi 3.En type the method used, the electronic system

acquires the image, the condition and process to be converted to binary image used by the BOF algorithm implemented in hardware. Experimental results within a cell area of manufacturing were made with the

implementation of method.The result of the integration of algorithms of recognition and location of rigid

manufacturing parts in embedded electronic systems, shows the possibility of use them in manufacturing

applications with requirements of processing speed and concurrent processes of this way, a robot learns online and

identifies objects that are relatives in their tasks. The technological proposal presented for invariant object recognition based on the algorithm BOF implemented in an embedded system calculates the contour of rigid parts

52 Federico Peralta, Mario Arzamendia, Derlis Gregor, Kevin Cikel and Maira Santacruz. Development of a Simulator

for the Study of Path Planning of An Autonomous Surface Vehicle in Lake Environments Paraguay

Abstract: . This work presents the development of a simulator for an autonomous surface vehicle after evaluating

two possible frameworks that could act as a base platform, the Robotarium and the Matlab robotics toolbox with

the robotics operating system.


TRACK 16 Session 12

S12 T14 Tue 29 Oct Session 12 T16 Robotics, Artificial Intelligence and Vision Session Chair : Román Osorio Room 6


16:30 245 Daniel Flores V., Ricardo Ñanculef, Carlos Valle, Maria Paz Dominguez and Mauricio Osses. Forecasting

Ozone Pollution using Recurrent Neural Nets and Multiple Quantile Regression Chile

Abstract: In this paper, we investigate the use of deep recurrent neural nets to forecast ground-level ozone

concentrations at Santiago (Chile), one of the most polluted cities in South America. We found that the

accuracy of these models at predicting peaks of the ozone concentration is often lower than expected, which limits their practical usage as tools to anticipate critical pollution events. To address this issue, we propose a

multitask learning criterion in which the model is not only trained to predict the expected value at next time

step but multiple quantiles of the response distribution. Experiments on real data illustrate the advantages and

drawbacks of the proposed approach.

41 Joshua Triana, Alexander Redondo and Victor Bucheli. Analysis of Complex Networks in Optimization

Algorithms Colombia

Abstract: The aim of this paper is to present the relationship between complex networks and optimization

algorithms. We investigate the genetic algorithms focus on the relationship of the individuals in each iteration

and how the network emerge. We model how the complex network connected component property seems to

have relationship with fitness quality in the Imperialist competitive algorithm.

59 Erid Pacheco, Ariel Guerrero and Mario Arzamendia. Sensor fusion to estimate the orientation of an scale

autonomous vehicle using the Kalman filter Paraguay

Abstract: The fusion of sensors (accelerometer, gyroscope and magnetometer) was carried out in order to obtain accurate estimates of the orientation for the correct navigation of the an scale electric vehicle which

was used in a competition. Calibration methods were implemented (for the accelerometer and gyroscope) with

a practical approach, so that it can be implemented before the start of the race in real time. The Kalman filter

was simulated to determine the influence of the variation of the parameters that intervene in the Kalman filter

equations. The response of the instrumentation to the disturbances was improved, which leads to an adequate estimation of the orientation.

238 Gabriel Diaz, Daniel Montecinos, Orietta Nicolis and Billy Mark Peralta Marquez. Predicción de la Velocidad

de Vehículos de Carga utilizando Redes Neuronales Recurrentes en Zonas Densas de Santiago de Chile Chile

Abstract: The prediction of loading vehicle speeds is a growing and important task since in an ideal transport

system drivers could make optimal decisions about the route to follow. An alternative to effect predicting

vehicle speeds is using self-regressive models or statistical models, on the other hand, given the widespread

success of modern neural networks, we believe it is feasible to have high prediction quality using this type of model. In this work, we propose the use of recurrent deep neural networks adapted to multiple inputs of a

temporary nature for the prediction of speeds, in particular, three models of neural networks are proposed for

the prediction of speeds in dense areas of the city of Santiago de Chile In addition, multiple metrics are reported

to assess the quality of the models. Experiments show that one of the models proposed under a configuration

of consistent inputs and using the information from the previous 7 days obtains consistent improvements over the other two models proposed.

224 Nicolas Esquivel, Billy Mark Peralta Marquez and Orietta Nicolis. Predicción del Nivel de Crimen usando

Mapas Acoplados con Redes Neuronales Autocodificadoras Convolucionales Chile

Abstract: In this paper, an analysis of data by means of PCA, visualization of correlations and finally the

application of the proposed model for the prediction of crime within the city of Chicago is reported, reporting

multiple metrics to evaluate the quality of the proposed network. Chicago is called one of the most dangerous cities in the United States and the data stored by the police is released on its page, this information being free

to use to analyze and predict crime, within the prediction of crime statistical spatial models have been used

and analysis with criminology. The use of deep neural networks we believe that it is feasible to use these types

of models to make a high quality prediction. We propose a convolutional deep neural network autocoding

adapted to multiple inputs of a temporary nature for the prediction of crime on a particular day.

223 João Marcelino Pacheco Neto and Otavio Noura Teixeira. Recognition Of Patterns In Images Of Triatomyne

(Vectors Of Chagas Disease) Using Aritical Neural Networks With Algorithm Backpropagation Brazil

Abstract: Chagas disease, also known as American trypanosomiasis is one of the consequences of the human

infection caused by the flagellate protozoan called Trypanosoma cruzi transmitted by triatomines. In the Lower

Tocantins region of the state of Pará three genera of barbers transmitting the disease are found. This work

aimed to implement a Model of Recognition and Classification of Images of barbers found in the Lower

Tocantins region in order to recognize the genus of the insect through the use of Artificial Neural Networks Perceptron Multi-layered and performing training with Backpropagation algorithm, helping to identify the

transmitters. In the middle of this recognition, the Digital Image Processing is performed to extract important

166 Huber Nieto-Chaupis. Improving Signal Efficiencies with the Mitchell’s Criterion at Future Colliders in the Searching of New Particles

Peru

Abstract: In this paper we present one application of the Mitchell’s criteria to extract efficiently beyond

Standard Model signal events yielding an error of order of 1.22%. The searching and identification of new particles, requires to reach highest efficiencies and purities as well. It demands to apply a chain of cuts that

reject the background substantially. In most cases the processes to extract signal from the background is carried

out by hand with some assistance of well designed and intelligent codes.


TRACK 16 Session 36

S36 T16 Thu 31 Oct S36 12 T16 Robotics, Artificial Intelligence and Vision Session Chair: Marcela Jamett Room 6


9 :00 39

Diego Palacios, Derlis Gregor, Mario Arzamendia, Kevin Cikel and Maira Santacruz. Determination of a

computational parameter of quantitative production of crops in hydroponic greenhouses through digital image

processing

Paraguay

Abstract: The objective of this paper is to determine a computational parameter of hydroponics production through

digital image processing and neural networks. A series of computational processes are performed in order to

calculate the total pixel area of the tomatoes displayed, and to obtain a quantitative indicator of hydroponic crop production. It was possible to identify, at the pixel level, objectives belonging to hydroponic tomatoes with an

error rate of 1.07%, and based on that, an indicator of quantitative production was obtained through computational

vision.

216

Fernando Morales and Marcela Jamett. Explosive detection system based on Leddar sensor and Self-Organizing Maps in mining environments

Chile

Abstract: An explosives detection / identification system is presented to be used by a humanoid robot that must

manipulate them, using a Leddar sensor and a SOM (Self-Organizing Map) network as data acquisition and

processing tools, respectively. By creating a sensor / PC interface, a database with 16 distance measurements is

created for each sample.These samples were of 2 kinds: explosives (object of detection, cylindrical) and a test object (rectangular).In total, the SOM network was trained with 100 vectors of 16 distances, achieving the

separation of the 2 clusters, which is evidenced in the validation where 100\% of the samples of the “explosive”

pattern are grouped to the upper right side of the neurons output.

233

Alonso Rodríguez, Alexis Diomedi, Jorge Portilla, Hugo Garcés and Gonzalo Carvajal. Clasificacion del Estado de Emisión de Hollín de una Llama Mediante Metodos de Aprendizaje de Máquinas

Brazil

Abstract: This paper presents the results of an approach based on machine learning techniques for determining the

status of a flame with respect to its smoke point, which corresponds to the critical point of fuel intake at which it

begins to emit soot from its combustion incomplete The use of Support Vector Machine, combined with dimensionality reduction techniques (Principal Component Analysis and Linear Discriminant Analysis), as well

as the use of Convolutional Neural Networks are evaluated. The classifiers described in this work were constructed

in reference to data labeled based on Line-Of-Sight Attenuation (LOSA) measurements that represent a ground-

thruth. In addition, data augmentation techniques are applied to the original data to increase the degree of

generalization of the classifiers to new examples, obtaining results comparable to those existing in the literature. Additionally, the inference time characterization is performed for each of the proposed models, with encouraging

results for future work of implementing real-time classification systems.

222

Tomas Sepulveda, Orietta Nicolis and Billy Mark Peralta Marquez. Prediccion de Contaminacion y Eventos

Criticos en Santiago de Chile basada en Concentracion PM2.5 usando Redes Neuronales Recurrentes Chile

Abstract: Currently in society, air pollution is a matter of high importance because of its harmful effects on human

health and the environment. Among the various air pollutants present in Santiago, Chile, PM2.5 particulate material

is relevant because in high concentrations it can damage the respiratory and cardiovascular systems of the human

body, which can trigger respiratory, vascular or even lung cancer problems in the people. Currently studies on the

prediction of concentration of this material are typically based on statistical methods or classical neural networks. We propose to carry out the concentration and critical events PM2.5 in Santiago de Chile through the use of

recurring LSTM and GRU networks comparing the performance of each network using different data sets and

evaluation metrics considering the prediction of pollution level by hours . This document describes the experiments

carried out in addition to emphasizing the preprocessing of the data, which is key to obtaining significant results.

The experimental results for this investigation show that the performance of the GRU network exceeds is positioned slightly higher compared to the LSTM network, reaching a coefficient of determination greater than

0.95 in an independent set of tests, while the threshold prediction in Both networks exceed 0.99 in the same test

set. As future work, we propose the use of neural networks based on attention as well as extending this work to

continuous prediction throughout Santiago.


TRACK 17 Session 18

S18 T17 Wed 30 Oct S18 T17 Signal and Image Processing Session Chair: Room 6


9:00 183 Carlos Loza. Robust Variants of Dictionary Learning Exploiting M-Estimators Ecuador

Abstract: We propose a robust alternative the well known dictionary learning technique K-SVD. Specifically, we

exploit the theory behind M-Estimators to incorporate robustness into the sparse coding stage of K-SVD, and

hence, decrease the estimation bias that might be introduced when outliers are present. Five different M-Estimators are introduced alongside their optimal hyperparameters in order to avoid parameter tuning by the user.

In this way, the proposed framework has the same number of free parameters as K-SVD with the added feature

of robustness and improved performance in non–Gaussian environments. We thoroughly demonstrate the

superiority of the proposed algorithms via recovery of generating dictionaries for synthetic data and image

denoising under two types of non–homogenous noise—salt and pepper noise, and impulsive noise.

16

Enrique San Juan, Ali Dehghan Firoozabadi, Pablo Adasme, Ismael Soto and Lucio Cañete. Spanish Syllables

Recognition by Wavelet and Cross Covariance Chile

Abstract: This paper shows the recognition of syllables through the using of Wavelet Transform and statistical tools such as cross covariance and the Pearson correlation coefficient. The considered syllables in this work are

Consonant-Vowel (CV) and Vowel-Consonant (VC) given that they constitute 60% of those present in the

Spanish language. The signals of the syllables are processed through a focused analysis with the application of

time windows (segmentation the syllables in their respective phonemes) to later perform a multi-resolution

analysis using the Wavelet Transform. For the recognition of the CV or VC structure, the cross covariance and the Pearson correlation coefficient are used. The results shows the performance of proposed method in

comparison with other methods.

33 Sam Jeong, Paula Garcia and Cinthia Itiki. On the Effects of Feature Selection in Atrial Fibrillation Detection Brazil

Abstract: Atrial fibrillation is the most prevalent cardiac arrhythmia, and its automatic detection is an important

task. In this research, segments that presented atrial fibrillation were separated from segments with normal sinus

rhythm. Dozens of parameters were computed from RR intervals, and each one of them was separately used as

input to linear classifiers. Then, the ten parameters that provided the highest accuracies—maximum over

minimum ratio; median of the absolute deviation; sum of the magnitude of spectral components divided by the mean RR interval; mean value of the absolute angles and mean value of the sines in Poincaré plots; standard

deviation of the differences between consecutive RR intervals; sample, fuzzy and Shannon entropies; and

coefficient of sample entropy—were standardized and presented as inputs to a support vector machine. Accuracy

rates of up to 99.81% were attained.

58

Fernando Estrada, Johny Montaña and Roger Schurch. Design and construction of a lightning counter for metallic

structures to register the maximum value of the current Chile

Abstract: The aim of this study is to measure the current peak value of a lightning that impact metallic structures.

In this paper, the design and construction of a lightning counter is described using Rogowski coil for current

measure and Arduinos. The design of the device consisted of three parts: a Rogowski coil as sensor, two Arduinos for storage and a PCB for the combination between the sensor and the Arduino. The geometrical parameters of

the Rogowski coil are the base from which the electrical parameters are calculated; those were used to obtain the

frequency response of the sensor and the sensibility. The Arduinos were coded to analyze, store and show the

measurements. Both Arduinos worked independently from each other, using one to collect the data from the

sensor, calculate the data obtained and send the maximum current value of a lightning to the other Arduino, which stores the data and shows them in a LCD display. The PCB is designed to reduce and filter the signals from the

Rogowski coil. The lightning counter was tested using reduced lightning impulses to test the precision and the

sample speed of the device.


TRACK 17 Session 40

S40 T17 Thu 31 Oct S40 T17 Signal and Image Processing Session Chair: Diego Aranda Room 4


11:30 265

Diego Aranda, Carlos Montiel, Esteban Cristaldo and Jorge Molina. Design of a Signal Conditioning System

for Silicon Photomultiplier Sensors Using the Charge Integrator Topology for the DUNE Photon Detection

System

Paraguay

Abstract: This paper is about the design of the three stages for the conditioning signal system of silicon photo

multiplier sensors for the DUNE photon detection system. These proposed stages are the pre amplification,

addition and final amplification for 48 sensors connected in parallel. In the pre amplification stage a charge

integrator circuit is proposed, in the addition, a simple adder circuit and, in the final stage, a low pass Sallen

Key filter. It has been done a circuit analysis of the stages, taking into account the different noise sources, obtaining their respective tranfer functions to be able to simulate the behavior of system using the MATLAB

software. Finally, with a iteration of component values of the first stage, a series of values which the

201 Marcos Espindola, Fernando Lino, Ricardo Leite and Yuzo Iano. Detecção de arritmias cardíacas usando rede neural artificial simples

Brazil

Abstract: Cardiopathy, a heart disease or inadequate functioning of the heart, is the third largest “cause

mortis” in Brazil and worldwide. Detect and diagnose cardiac arrhythmias, promptly and properly, can

drastically reduce rates of premature death. Some arrhythmias, when detected, must be resolved in a timely manner because they are lethal to the heart. The objective of this work is to develop a system of acquisition,

storage and visualization of 4 cardiac rhythms: normal rhythm, ventricular tachycardia, ventricular

fibrillation and atrial fibrillation. For this, we first collected several electrocardiograms (ECG) samples

obtained from a simulator. The output of this simulator will produce a database that is used as input in a

Hamming window to produce the necessary frequencies that can represent the 4 cardiac rhythms. The output of this windowing is passed to a Fast Fourier Transform (FFT) algorithm, resulting in a frequency spectrum

for each one of the cardiac rhythms. Using a neural network, having as input the mass of data for all the 4

rhythms, it will be possible to classify them.

264

Carlos Montiel, Diego Aranda, Esteban Cristaldo and Jorge Molina Jorge Molina. Comparison between

Transimpedance and Charge Integrator Amplification Topologies for Conditioning Signals Obtained from

SiPM Sensors for the DUNE Experiment

Paraguay

Abstract: Abstract— In this paper we simulate the output of signal amplifiers for photon detection system

with SiPM. The Corsi model was used to determine the loads provided by the sensors, and analyze different

electronic preamplifier topologies for data reading and noise filtering. The amplification of the signals

obtained from 48 SiPM was carried out in three stages in order to obtain the output through a single channel.

Two configurations were considered for the simulation: Transimpedance and Charge Integrator, which will be compared to meet the experiment requirements.

45 Mario G. Borja Borja, Roger Huauya and Cristian Lazo. A brief survey on deep learning methods for lung

cancer detection using computerized tomography scans Peru

Abstract: In the last years, deep learning has been developed tremendously to solve multiple tasks such as

classification, localization, segmentation and so on of different objects. In medical image classification, it

has been shown that deep learning can achieve good results. One of the most remarkable application of deep

learning in medical images is in lung cancer detection on computerized tomography scans. This survey paper is oriented to give the reader the cutting edge algorithms to solve this challenge. It has been reviewed over

20 papers related to this topic to cover the best methods to approach this problem. This paper ends with a

summary of the current state-of-the-art methods and considerations to solve the lung cancer classification

task


TRACK 18 Session 22

S22 T18 Wed 30 Oct S22 T18 Humanitarian Technology Session Chair: Room 4


14:00 153 Fernando Fuentes-Peñailillo, Cesar Acevedo-Opazo, Samuel Ortega-Farias, Marco Rivera, Jorge Moyano and

Carla Gonzalez. Semiautomatic system of intrapredial water management for small farmers Chile

Abstract: At present, the reduction in rainfall because of climate change becomes a challenge that the agricultural

industry must face to mitigate its negative effects in crop production. To achieve this, it is necessary to implement

monitoring techniques that allow decision-making based on quantitative parameters. In Chile, large agricultural companies have automatic systems for the monitoring and management of water resources. However, small farmers

do not have the possibility of accessing efficient water management technologies because they have narrower profit

margins. In addition to this, the low level of technological literacy increases the gap in the adoption of new

technologies. For this reason, the following research proposes the development of a semiautomatic water

management system for small producers based on low cost sensors integrated in a system that has an automati c decision rule for activating a pump. The results indicate that it is possible to develop a system that integrates low

cost sensors for irrigation management, given that they showed a high correlation with traditional ones (Decagon

EC-5), therefore, they would allow to efficiently manage intrapredial irrigation of small producers.

80

Ivan Iraola-Real, Luzmila Liza Neciosup, Alexandra Celeste Zegarra Soto, Liliana Melissa Guerra Pizango and

Allison Jessica Brenis García. Level Appearance of Schizophrenic Features In Student of the Engineering Faculty

of two Private Universities of Peru

Chile

Abstract: According to Manual Diagnostic Statistic V the schizophrenia is a psychological disorder that affects

many persons; between them to university students who show symptoms as the (antisocial) social isolation, lack

of motivation, apathy, and hallucinations. For this motive, the present study possesses like target to analyze the

schizophrenic features in students of the Career of engineering of a university deprived of Lima - Peru. The sample

was of 135 career of engineering students (94 men (69.1 %) and 41 women (30.1 %) between 16 to 26 years of age (Mage = 18.41, SD =2.71) of Lima – Peru. The results demonstrated that the students males and women possess

medians low in the depressive symptom, in the antisocial behavior, in the symptom of the apathy and in the

hallucinations. Also, atypical cases of students were identified with medians raised in several symptoms and some

that coincided with two symptoms, being necessary the pertinent psychological support

82

Ivan Iraola-Real, Luzmila Liza Neciosup, Liliana Melissa Guerra Pizango and Alexandra Celeste Zegarra Soto. Negative Effects of the Consumption of the Energy Drinks in University students of The Engineer's faculty of Peru

Paraguay

Abstract: The consumption of energy drinks is very frequent in adolescents and young people who ignore the

negative consequences at cardiovascular level, endocrino and in the index of corporal mass. That's why, the present

study tries to analyze the negative effects of the consumption of the energy drinks in students of the careers of

engineering of universities deprived of Lima – Peru. The sample was of 150 career of engineering students (97 men (64.7 %) and 53 women (35.3 %) between 16 to 29 years of age (M = 19.50, SD =2.48) of Lima – Peru. One

concludes that 70 % between the 17 to 22 years consumes energy drinks and of similar form in males and women.

54.3 % consumes them because they want to feel with more energy and because they have to study in the nights.

Finally it was identified that the consumption frequency is related to a less quantity of hours of sleep, and mixing

the drinks with other substances was related at the level of knowledge of the negative effects and also with the least tendency to do sports.

81

Ivan Iraola-Real, Liliana Melissa Guerra Pizango, Luzmila Liza Neciosup and Alexandra Celeste Zegarra Soto.

Familiar Factors in the Activation of Schizophrenic Symptoms: A Study in a Students' Engineering Sample Ecuador

Abstract: The present investigation takes as a target to analyze the influential familiar factors in the activation of

schizophrenic symptoms in a students' sample of the career of engineering of universities deprived of Lima – Peru.

The sample was of 136 career of engineering students (94 men (69.1 %) and 42 women (30.1 %) between 16 to 26 years of age (M = 18.41, SD =2.71) of Lima – Peru. In the results of the analysis of multiple linear retrogressions

one managed to identify the discussions and screams predict the antisocial behavior, the lack of motivation, the

depression, the apathy and the hallucinations. Then, the use of the physical punishment predicts the lack of

motivation, the emotional instability, the apathy and the hallucinations. And finally, the satisfaction with the life

predicts negatively the antisocial conduct, the emotional imbalance and the depression

193

Gilberto De Melo Junior, Sanderson Macedo, Renato Milhomem Oliveira and Silvio Vieira. Clustering with

Farthest First: Obesity Index case study Chile

Abstract: Many behavioral factors lead to obesity in the individual, but with so many variables the task of

separating which groups of behaviors are most prevalent in the obesity development factor is complex. The fact

that the individual feeds heavily does not necessarily mean that he will become obese, but rather a set of demographics, socioeconomic and biological factors. In this work, machine learning techniques were used to group

people with demographic, socioeconomic, biotype and recurrent behavior information that were obtained through

an on-line questionnaire. It used Farthest First algorithm that analyzed the data and created five clusters of

individuals automatically, aiming to be a reference base for the classification and identification of new users with

behaviors that tend to obesity. As a result, it obtained the 5 clusters intended, and it was possible to analyze each of these groups, thus helping nutritionists and physicians in the task of identifying groups tendentious to obesity.


KEYNOTES SPEAKERS

TALK 1 Embedded Water Quality Sensors to Enable Fast Critical Public Health

Decisions

Tuesday 29.10:30 AM ROOM 1

Fernando Guarín, President de Electron Device Society EDS de IEEE

Abstract: Contaminated drinking water is still one of the major causes of waterborne diseases particularly in children, such as

acute diarrheal disease. Colombian rural hospitals report thousands of cases of acute watery diarrea with some of them developing

in fatal cases. Fast water contamination detection and rapid response are essential to enable timely public health decisions.

Although conventional approaches for water quality control can detect hazardous biological and chemical agents, manual

sampling followed by city-based-laboratory analysis is a process still not efficient enough to make critical decisions on time. We

are proposing here a holistic approach to build an embedded sensor capable of detecting possible water contamination to trigger

public alerts that will reduce the spread of waterborne diseases. This alert may trigger a further analysis by conventional

approaches and prompt action. Our approach to building water quality detectors have two key differentiators: 1) A 4th-

generation RISC-V -based system-on-a-chip developed to fulfill the data converter requirements and algorithmic sensor

computing capability with low-power requirement; 2) a proposed algorithm employing data from low-cost and off-the-shelf

sensors based upon water quality standards according to the World Health Organization (WHO).

BioSketch: Dr. Fernando Guarín is a Distinguished Member of Technical Staff at Global Foundries in East Fishkill New York

where he leads the reliability team responsible for the qualification of 5G technologies. He retired from IBM’s SRDC after 27

years as Senior Member of Technical Staff. He earned his BSEE from the “Pontificia Universidad Javeriana”, in Bogotá,

Colombia, the M.S.E.E. degree from the University of Arizona, and the Ph.D. in Electrical Engineering from Columbia

University, NY He has been actively working in microelectronic reliability for over 35 years. From 1980 until 1988 he worked

in the Military and Aerospace Operations division of National Semiconductor Corporation. In 1988 he joined IBM’s

microelectronics division where he worked in the reliability physics and modeling of Advanced Bipolar, CMOS and Silicon

Germanium BiCMOS technologies. He is currently leading the team qualifying GlobalFoundries RF 5G technology offerings.

Dr. Guarín is an IEEE Fellow, Distinguished Lecturer for the IEEE Electron Device Society EDS, where he has served in many

capacities including; member of the IEEE’s EDS Board of governors, chair of the EDS Education Committee, Secretary for

EDS. He is the EDS President 2018-2019.


KEYNOTES SPEAKERS

TALK 2 “Social Implications of Technology" - Impact of Science, Technology

and Climate Change in the Global Village”.


PhD LUIS KUN, Consultant Engineer, USA Washington, DC USA, [email protected]

Abstract: We live on a planet where two very different realities coexist. On the one hand, a world moved by internet, mobile phones,

computers, blackberries, i-Phones, i-Tunes, i-Pads, i-Pods, high-definition television, global economy, on-demand medications for

depression, the cholesterol or hypertension. The other reality, however, shows us a world where 2 out of 3 people do not have access

to clean water, where more than 80% of the world's population lives on less than 10 dollars a day and where 29,000 children died daily

during 2005 before reaching 5 years of age. In this other reality there are thousands of daily deaths from tuberculosis, AIDS, or malaria.

Most of these deaths due to hunger or infectious diseases can be prevented. In the 90s of the last century, it was revealed the existence

of a social problem called the "digital divide" (digital divide) to draw attention to the great social inequalities that are established

between individuals based on the possibility or not of have access to the internet and communication technologies. Dr. Kun will address

different aspects of these two realities, such as the growth of the global population, the interdependence between this growth, the

sustainability of the people (water, food, energy, etc.) in the global economy and th e contribution to everything This is due to the

significant increase in the number of natural and industrial disasters, many of them a direct consequence of climate change. Dr. Kun

will propose a change of attitude and the need to apply new formulas to face all these challenges. In his opinion, the wars and conflicts

of the future will be for water, food, energy, and medicines, emphasizing the importance of cooperation between peoples and particularly

the need for education.

Biography Dr. Luis Kun was a Professor of National Security Affairs at the Center for Hemispheric Defense Studies (2011 -2015) at

the National Defense University. He is Editor in Chief of Springer's Journal of Health and Technology. He graduated from the Merchant

Marine Academy in Uruguay and holds a BSEE; MSEE and Ph.D. degree in Biomedical Engineering all from UCLA. He spent 14

years at IBM, where he developed the first six clinical applications for the IBM PC. He was also the technical manager of the Nursing

Point of Care System at IBM. Dr. Kun was developed the first Teleradiology system and the first Picture Archival and Communications

Systems to run on an IBM platform. Later he was Director of Medical Systems Technology and Strategic Planning at Cedars Sinai

Medical Center in LA. He co-authored the Reports to the Congress on Telemedicine (1997) and on HIPAA Security. In July of 1997,

he was invited speaker to the White House. He was largely responsible for the Telemedicine portion of the bill that became part of the

Balanced Budget Act of 1997. As a Distinguished Fellow at the CDC (1999-2001) he was the Senior Computer Scientist for the Health

Alert Network for Bioterrorism and later the Acting Chief Information Technology Officer for the National Immunization Program

(NIP) where he formulated their IT vision on 10/2000. Luis Kun is the founding chair of the IEEE-USA Electronic Health Record and

HighPerformance Computers and Communications WG; and the Bioterrorism / Homeland Security WG, and the Critical Infrastructure

Protection Committee. A Fellow of the IEEE and the American Institute for Medical and Biological Engineering, Kun received

AIMBE's first-ever Fellow Advocate Award in 2009. His IEEE-USA Citation of Honor Award. He sits in many professional and journal

Boards including the IFMBE where he chairs the Global Citizen Safety and Security WG. Universidad Favaloro from Buenos Aires,

Argentina named him "Profesor Honoris Causa" on December 2009. In 2011 he received the Golden Core Member Award by the IEEE

Computer Society. He was named "Visitante Distinguido" by the City of Puebla, Mexico.



KEYNOTES SPEAKERS

TALK 3 “The challenges of Internet of things, security and Blockchain”.


Ing Gustavo Giannattasio MBA, PMP, Consultor de Arnaldo C. Castro S.A.

Abstract: The main models of IoT architectures are presented, their comparison, benefits and opportunities in

both open and proprietary systems. Then, the main platforms that respond to various IoT models, their structure

and functional architecture are analysed. Firmware and Digital Enabler Technologies and applications based on

open systems, leaders are presented. Finally, the Security in IoT is presented with recommendations and solutions

for the security of IoT, Blochchain for IoT, and 5G particularities for IoT

Biosketch Gustavo Giannattasio is Telecom Engineer at UDELAR University Uruguay, Post degree in Digital

design EDE at Eindhoven Philips Holland, MBA with honours at UCUDAL University , Project Manager

Certified by PMI , Director of IEEE Latin-American region 2012-2013, Member of the IEEE MGA and BOD

Boards 2012-2013, Member at large of the IEEE Engineering Management council BOD 2013-2014, President

of Montevideo Chapter of the International Computer Room Experts Association ICREA 2014-2015, President

of the Uruguayan Chapter of the IEEE Communications Society 2014-2015, Consultant in Data Center

Technologies, Speaker of international conferences on Smart Cities and IoT in Montevideo, Colombia, Mexico,

Director of Programs at the Montevideo Chapter of PMI 2014.


KEYNOTES SPEAKERS

TALK 4 “Challenges, Opportunities and trends in photovoltaic energy conversion

systems”.


Dr. Samir Kouro Department suitable of Electronic Engineering, UTFSM, Chile

Abstract: Solar photovoltaic (PV) energy has experienced an explosive growth over the last decade, motivated mainly by cost reduction, technology development, incentives and environmental awareness. Power electronics plays a fundamental role in enabling photovoltaic energy conversion to be efficient, reliable and grid-friendly. One of the main advantages of PV energy is that it is inherently modular, and unlike other energy sources, it allows the implementation of small-, medium- and large-scale generation systems, ranging from pocket calculators and rooftop systems to large multi-megawatt PV farms. However, system requirements, performance specifications, regulations and even the economics behind the different power scales impose very different design constraints and requirements from a power electronics perspective, leading to very distinct PV power converter classes and technology. This talk will cover some of the trends, new paradigms and drivers in current PV converter R&D status, and discuss which are the opportunities and challenges being faced by academia and industry. Some of the ongoing research projects on this topic carried out at the Chilean Solar Energy Research Center (SERC Chile) and the Advanced Center for Electrical and Electronic Engineering (AC3E) will be addressed. Bio Sketch Dr. Samir Kouro received the M.Sc. and Ph.D. degrees in electronics engineering from the Universidad Técnica Federico Santa Maria (UTFSM), Valparaíso, Chile, in 2004 and 2008, respectively. Since 2007 he has been with the Department of Electronic Engineering 2007, where he currently serves as Associate Professor. From 2009 to 2011 he was a Postdoctoral Fellow in the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. His research interests include power electronics, renewable energy conversion systems, and electro-mobility. Dr. Kouro is founding member and Principal Investigator of the Advanced Center of Electrical and Electronics Engineering (AC3E) and of the Solar Energy Research Center (SERC-Chile), both recognized as research centers of excellence in Chile. He has coauthored one book, 7 book chapters and over 170 refereed journal and conference papers. He has served as Guest Editor of Special Sections in the IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics. Dr. Kouro is Chair of the Chile Section Chapter of the IEEE Power Electronics Society, and member of the Board of Directors of the Solar Energy and Energy Innovation Committee of CORFO. Dr. Kouro received the 2018 IEEE-AIE Outstanding Engineer Award, the 2016 IEEE Industrial Electronics Bimal K. Bose Award for Industrial Electronics Applications in Energy Systems, the 2015 IEEE Industrial Electronics Society J. David Irwin Early Career Award, the 2012 IEEE Power Electronics Society Richard M. Bass Outstanding Young Power Electronics Engineer Award, the 2012 IEEE Industry Applications Magazine 1st prize paper award, the 2011 IEEE Transactions on Industrial Electronics Best Paper Award, and the 2008 IEEE Industrial Electronics Magazine Best Paper Award. Dr Kouro has been inclu ded in the 2018 Clarivate Analytics Highly Cited Researcher List.


KEYNOTES SPEAKERS

TALK 5 “Deep Leaning: what is it, types, challenges and what to expect. An overview

from the point of view of the robotics area”.


Dr. Fernando Passold Faculty of Engineering and Architecture

(FEAR), UPF (Passo Fundo University, Rio Grande do Sul, Brazil

Abstract: This lecture aims to make a brief overview of the area of Deep Learning since the 1990s when artificial neural networks

were already common but not so large or enhanced by data preprocessing routines. Until the 1990s, artificial neural networks,

biologically inspired were already common and the first applications were emerging. At this time, large public data repositories were

not common, which made the training of networks difficult. Nor was computing power as advanced or economically accessible. With

the proliferation of public databases and the introduction of new data preprocessing techniques, this area has emerged again since the

2000s. In 2006 the first large deep network of Geoffrey Hinton and collaborators made it possible to achieve a degree of 98% of

accuracy for the recognition of handwritten digits. And more specifically, in 2014, with more utility for mobile robotics and computer

vision, ImageNet has emerged as a new proposal of Kritzhevsky and collaborators, also to recognize handwritten digits but the y

achieved a recognition level similar of a human being. They proposed the new Convolutional Neural Networks, which began to be

widely used in robotics for feature recognition in images, even semantic recognition of items in images. And the promising re sults

obtained were further improved using the new dept image sensors and GPUs to accelerate both network feedforward and training. As

Tesla Motors autonomous cars do today. But these were not the only new and deep (large) networks that emerged from the 2000s.

Specific networks have emerged to process, identify and predict sequences of events or tasks, such as Recurrent Neural Nets without

or with Short-Term Memory (LSTM) cells. Autoencoders nets has arisen as an option for codding data without supervision (i.e., the

training set is unlabeled) and have become a very interesting and promising option for natural language processing. Also came the

Generative Adversarial Nets currently used for generative learning, or in other words, a type of network that even lets the c omputer

“create”. Some of these new network arrangements and advances in learning algorithms have been made possible not only by the

popularization of public databases, but also by the emergence of different code library repositories aimed at facilitating th e exploration

of new networks, testing of new learning algorithms or procedures. Initially in the form of libraries specific to the Python programming

language as the libraries: NumPi, Pandas, Matplotlib. Evolving into increasingly powerful libraries like Scikit -Learn, TensorFlow and

Keras. But nothing in the field of machine learning is as simple and old challenges still remain as creating good training data set(s),

properly filtered to avoid "bias" cases for supervised-trained networks. And new learning algorithms emerged because of the high

amount of parameters to be "tuned" (trained). This article attempts to present the most notable advances in this area, specifically geared

towards computational or robotic vision, clarifying network types, distinguishing supervised from unsupervised training, data set care,

most common deep network types (and applications best suited for each network), learning algorithms and optimizations that have

emerged, and hardware resources needed to implement deep networks for both their use (execution) and their train ing.

Bio Sketch Fernando Passold received the B.A.Sc. degree in electrical engineering, in 1989, the M.Sc. degree in electrical engineering

(Bioengineering) in 1995, the PhD degree in electrical engineering (Dept. of Automatization of Systems) in 2003, all of them from the

Federal University of Santa Catarina (UFSC), Brazil. His M.Sc. dissertation was titled “Hybrid Anesthesiology Expert System for

Critical/Problematic Patients” and mixed the use of an expert system kernel with MLP neural networks. His Phd thesis was titled:

“Position and Force Neural Control in Robotic Manipulators” and involved a real Scara robot equipped with force sensor, MLP and

RBF neural networks with online training. He is currently a full time Professor at the University of Passo Fundo, Brazil. But from

August 2008 to February 2010 he worked as a full time associate professor at the Faculty of Electrical Engineering of Pontifical Catholic

University of Valparaíso (PUCV), Chile. Since March 2010 he has returned to the University of Passo Fundo (Brazil). His main research

interests include: mobile robotics, computer vision, artificial neural networks and deep learning.


KEYNOTES SPEAKERS

TALK 6 “SUCHAI space program: potentialities of nano-satellites”.


Dr. Marcos Díaz Quezada Electrical Engineering Department at University of Chile

Abstract: Nano-satellites are tiny spacecrafts with masses between 1 kg to 10 kg, where the Cubesat standard

should be highlighted as the most relevant type of this miniaturized vehicles. The Cubesat was introduced to the field as an educational tool. The main features of the standard are the low cost (comparatively speaking) and the fast development cycle. Approaching the 20 years from its conception the platform has started to gain momentum

also due to a more dynamic environment in the space sector, which is making more accessible the space for these type of vehicles. Sophisticated scientific missions are being proposed and developed in many space agencies

around the world. The private sector is also taking advantage of the standard to proposed new applications from space. For instance, the private company Planet Labs maintains a constellation of over 150 Cubesats of 3 liters each for earth observation in the visible band. Space X is proposing a massive constellation (thousand of

satellites) for internet from space, although based on micro-satellites (10 kg up to 100 kg) or mini-satellites (100 kg up to 400 kg) instead of nano-satellites. In this presentation is discussed the current limitations and trends of this technology, the path followed in Chile by the SUCHAI program at the beginning, how the team in the Space

and Planetary Exploration Laboratory at the University of Chile has been using the platform for space science and how these missions are developing knowledge toward the production, operation, maintenance and disposal

of mega-constellations for different applications. Bio Sketch Marcos Díaz is currently assistant professor in the Electrical Engineering Department at University

of Chile, Santiago, Chile. He received his Electrical Engineering degree in 2001 from University of Chile, his M.S. and Ph.D. degrees in Electrical Engineering in 2004 and 2009, respectively from Boston University, USA.

His research interests are related to the study of ionospheric turbulent plasma, incoherent scatter radar techniques, low-frequency-radio-astronomy/space instrumentation and nano-satellite technologies. Previously he has served as research assistant at Smithsonian Astrophysical Observatory, MIT Haystack Observatory and Electrical and

Computer Engineering Department at Boston University. He is the responsible of the Space and Planetary Exploration Laboratory, a multidisciplinary Laboratory located in the Faculty of Physical and Mathematical

Sciences at University of Chile, where the University´s nanosatellite-based space program is being developed.


KEYNOTES SPEAKERS

TALK 7 “TO SOCIEDAD 4.0 AND ITS TECHNOLOGICAL PARTNERS”.

Wednesday 30, 11:00 AM ROOM 1

Dr. Mario Peña, IIMAS-UNAM, MEXICO

Abstract: The Fourth Industrial Revolution, also known as industry 4.0, is changing the way of businesses operate and society performs,

in the environments in which they are forced to compete, the convergence between the automation of industrial processes and d aily

tasks with information technologies they allow improving operations, reducing costs, improving the quality of life and improving the

quality of processes. The connection of industrial and domestic devices to the network makes it possible to extract data in real time and

control it in real time, turning Big Data, artificial intelligence, ICT and robotic operating machines into great allies and pillars of society

4.0, allowing the analysis and management of the data to lead to the optimization of the different indus trial, domestic and energy

processes. In the talk two cases of importance in society 4.0 are presented, robots in intelligent manufacturing and service robots. The

applications of these cases have expanded by leaps and bounds. Today there are factories of manipulative robots manufactured by other

robots and manufacturing plants operated by robots that can learn processes and with reconfigurable capacity. An intelligent robot is a

machine capable of extracting information from its environment and using its k nowledge of the world to move safely in a meaningful

and deliberate manner. Society 4.0 is also a society with an accelerated aging index so there is a boom in using robots as au xiliaries in

domestic activities, emerging the area called Service Robotics in which there are major technological challenges. Years ago, the idea

of having a robot capable of helping with household chores was only conceived thanks to science fiction; Today is a total realit y.

However, the area of service robotics and assistance robots includes a wide range of problems and this talk addresses several of the

techniques and methodologies used in its construction.

Bio sketch: Dr. Mario Peña-Cabrera, born in San Juan del Río, Querétaro, Mexico, in 1977, completed his studies in Mechanical-

Electrical Engineer specializing in the area of Control, Communications and Electronics at the Faculty of Engineering of the UNAM.

In 1981 he obtained a Master's degree in Electronic Engineering from the Division of Postgraduate Studies of the Faculty of E ngineering

of the UNAM and in 1983 the Master of Engineering degree from McMaster University in Ontario CANADA, where he taught courses

as an assistant to Dr. Reuven Kitai, president of the IEEE instrumentation area in Canada from 1980 to 1983. He has a PhD in Science

and Technology from the Inter-Institutional Postgraduate of Science and Technology (PICyT) of SEP-CONACYT-MEXICO based in

CIATEQ AC (Centro de Tecnología Avanzada) and is a member of the National System of Researchers (SNI) level I and level PRIDE

“D” of the UNAM. Until 1996, he taught at the UNAM School of Engineering at the bachelor's level and since 1998 at the UNAM

engineering graduate. He also taught courses from 1992 to 2002 at the Monterrey Institute of Technology and Higher Education

(ITESM) on the Mexico City campus and is currently a tutor in the Master's Degree and Doctorate of Electrical Engineering of the

UNAM graduating master's and doctoral students. He has participated since 1988 as an advisor for the productive sector in the design

and maintenance of data acquisition equipment for biotic and environmental monitoring, and in the design and operational management

of meteorological sensors and integration of environmental monitoring networks. He has also participated in projects for the design of

microclimatic environments for applications of crops in automated greenhouses and computerized process automation at UNAM, being

a pioneer in the implementation of the Environmental Monitoring Network of Mexico City. He is a member of the academic staff of

the Research Institute in Applied Mathematics and Systems of the UNAM, since 1977 and in which he continues to develop research

projects in Vision for Robots, Intelligent Manufacturing Systems, Environmental Monitoring and Computational Systems. He currently

belongs to the Department of Computational Systems and Automation of IIMAS-UNAM and from 2001 to 2005, he collaborated with

the Research Group on Mechatronics and Intelligent Manufacturing Systems of CIATEQ, AC, Advanced Technology Center in the

state of Querétaro, Mexico in where his research was published as an emerging technology in 2006 by the SMA association. Dr. Mario

Peña has presented his research in countries such as Canada, United States, Korea, China, Mexico, Cuba, Chile, Argentina, Fra nce,

Germany, Portugal and Spain, has more than one hundred and eighty publications in the area of its specialty in arbitrated international

journals, dissemination journals, technical reports and memoirs of international and national congresses and book chapters . It has several

copyright records in computer programs. Dr. Peña's areas of interest are: Artificial Vision in Robotized Intelligent Manufacturing,

Automation, Environmental Control and Computer Systems applications. He is a member of the Mexican Society of Artificia l

Intelligence and the Mexican Society of Instrumentation.


KEYNOTES SPEAKERS

TALK 8 “Methods for the study of brain connectivity based on Diffusion

MRI”.

Wednesday 30.11:00 AM ROOM 2

Pamela Guevara Department of Electrical Enginnering, Universidad de Concepción, Chile

Abstract: Diffusion Magnetic Resonance Imaging (dMRI) is an in-vivo and non-invasive technique that

estimates the structure of white matter (WM) through the measurement of water molecules diffusion. From dMRI images, the main trajectories of WM can be reconstructed using tractography algorithms applied to diffusion local model information. The generated datasets consist of a 3D representation of the main WM fiber tracts. Due

to last advances in MRI equipment and models, new tractography datasets are highly complex and require specific methods for the extraction of useful information. Several methods have been proposed for the analysis

of tractography datasets to study brain connectivity. Fiber clustering algorithms allow the exploration of the main white matter structure, while tractography segmentation algorithms identify known white matter bundles. Most of them combine diffusion and anatomical information. The developments include the creation of white matter

bundle atlases, for long known fascicles and also short association bundles. This talk will focus on some of these methods, for the exploration and study of structural brain connectivity, in individuals, and across subjects

Bio Sketch Pamela Guevara has a Master degree in Medical Imaging and a PhD degree in Physics, both from the Université Paris-Sud, France. She developed her Master and PhD theses in the brain neuroimaging center

Neurospin, Saclay, France. She is currently Associate Professor at the Department of Electrical Engineering, Faculty of Engineering, Universidad de Concepción. She teaches different undergraduate and graduate courses

of Computer Programming and Digital Image Processing. She also leads a Medical Image Analysis group with main focus of the study of brain connectivity. She has participated as researcher in several Chilean R&D projects, like FONDECYT, FONDEF, ANILLO and since 2018 she is researcher of the Chilean Advanced Center

for Electrical and Electronic Engineering (AC3E). Since 2018 she is member of the IEEE SPS Bio Imaging and Signal Processing (BISP) Technical Committee.


KEYNOTES SPEAKERS

TALK 9 “Big Data Challenges and Deep Learning Applications to

Astronomy”.


PhD. Pablo A. Estevez, Department of Electrical Engineering, University of Chile, and Millennium

Institute of Astrophysics, Chile

Astronomy is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates

of new sky surveys. To cope with a change of paradigm to data -driven science new computational intelligence, machine learning and

statistical approaches are needed. In this ta lk I will introduce the general context and the big data challenges that astronomy is facing. I

will present two applications using deep learning. The first application is the automated real-time detection of supernovae in

astronomical images. We developed a convolutional neural net to discriminate between true transients and bogus events. We introduced

rotational invariance and used a visualization approach to interpret the results of the convolutional neural network. The sec ond

application is to classify different classes of astronomical objects based on a recurrent convolutional neural n etwork, which uses directly

sequences of images in an online fashion. To train the classifier we simulated sequences of images using realistic observational

conditions. To test the results we used real data from the HiTS survey. The fact that our classifier works well on real images having

been trained on simulated ones, encourages us to use the proposed method to train classifiers for the very large telescopes u nder

construction such as the Large Synoptic Survey Telescope even before getting the first ligh t.

Bio sketch Pablo A. Estévez received his professional title in electrical engineering (EE) from Universidad de Chile, in 1981, and the

M.Sc. and Dr.Eng. degrees from the University of Tokyo, Japan, in 1992 and 1995, respectively. He is a Full Professo r with the

Electrical Engineering Department, University of Chile, and former Chairman of the Electrical Engineering Department in the p eriod

2006-2010. Prof. Estévez is one of the founders of the Millennium Institute of Astrophysics (MAS), Chile, which wa s created in January

2014. He is currently leading the Astroinformatics/Astrostatistics group at MAS. He has been an Invited Researcher with the NTT

Communica tion Science Laboratory, Kyoto, Japan; the Ecole Normale Supérieure, Lyon, France, and a Visiting Professor at the

Pantheon-Sorbonne University, Paris, France, and the University of Tokyo, Tokyo, Japan. Prof. Estévez is an IEEE Fellow. He served

as President of the IEEE Computational Intelligence Society (CIS) for the term 2016 -2017, Vice-president of Members Activities

(2011-2014), CIS ADCOM Member-at-Large (2008-2010), CIS Distinguished Lecturer (2006-2011) and as an Associate Editor of the

IEEE Transactions on Neural Networks (2007-2012). Prof. Estévez served as conference chair of the International Joint Conference

on Neural Networks (IJCNN), held in July 2016, in Vancouver, Canada, and general co -chair of the 2018 IEEE World Congress on

Computational Intelligence, IEEE WCCI 2018, held in Rio de Janeiro, Brazil, in July 2018. He is the recipient of the 2019 IEEE CIS

Meritorious Service Award. Prof. Estévez has co-authored more than 150 articles in journals and conferences, including a recent paper

published in Nature Astronomy. His current research interests include big data, deep learning, neural ne tworks, self-organizing maps,

data visualization, feature selection, information theoretic-learning, time series analysis, and advanced signal and image processing.

One of his main topics of research is the application of machine learning and computational intelligence techniques to frontier research

in astrophysics and biomedical engineering.


KEYNOTES SPEAKERS

TALK 10 “Quantum Computing: What, Why, Who”.


Rafael Sotelo Universidad de Montevideo, Uruguay

Abstract: A quantum computer is presented as a wholly different order of mechanism than anything the human

species has ever constructed. Today, there are working machines that perform some small part of what a full quantum computer may eventually do. The goal of quantum computing research is to discover a means of

expediting the execution of long waves of instructions. Such a means would exploit an observed phenomenon of quantum mechanics that, when you write it down on paper, doesn't appear to make sense. If this goal is achieved, if everything that physicists are certain works theoretically, ends up working in the real world, then mathematical

problems that require days' worth of calculation even on today's supercomputers, and some that are not solvable even now, may be solved instantaneously. Climate change models, estimates of the likelihood of Earth-type

planets in the observable galaxy, models of the immune system's capability to destroy cancer cells -- the most difficult and challenging problems we face today may suddenly yield results within no longer than an hour after launching the program.

BioSketch

Rafael Sotelo is Electrical Engineer option Telecommunications by the University of the Republic. Master in

Business Administration from IEEM. Doctor in Telematic Engineering from the University of Vigo. Director of the Department of Information Technology and Communications of the University of Montevideo. Coordinator

of Telematic Engineering and Computer Engineering of the University of Montevideo. Adjunct Professor, Grade 3, of the Faculty of Engineering of the University of the Republic. He worked for eighteen years in Canal 10 of Montevideo and associated companies, where he held the position of Engineering Manager. Member of the

National System of Researchers of the ANII. Telecommunications and IT consultant. Thesis: "Audiovisual Content Recommendation Services for groups of individuals" First Place Award from the National Academy of

Engineering to Postgraduate Thesis, 2010. Abstract: A quantum computer is presented as a wholly different order of mechanism than anything the human species has ever constructed. Today, there are working machines that perform some small part of what a full quantum computer may eventually do.

https://www.zdnet.com/article/googles-quantum-computing-breakthrough-our-new-chip-might-soon-outperform-a-supercomputer/

https://www.zdnet.com/article/how-the-industry-expects-to-secure-information-in-a-quantum-world/

https://www.zdnet.com/article/how-the-industry-expects-to-secure-information-in-a-quantum-world/

https://www.zdnet.com/article/googles-quantum-computing-breakthrough-our-new-chip-might-soon-outperform-a-supercomputer/


KEYNOTES SPEAKERS

TALK 11 “Silicon Industry: day to day life of a layout design”.


Juan Manuel Perdomo Section Head, Layout Engineer en Allegro MicroSystems, LLC, Argentina

Abstract:

Integrated circuit are the backbone of all the electronic industry. They are small almost “magical” items that let us build devices that improve our lives. But how are this things created? What is the process behind them?

Any IC systems has an idea behind it. And idea with works in abstract world where the System Designer build

the specification of what a product should do and should no do. This is taken by the Analog Designer to make an electronic diagram that can fulfill the specification. Which put the abstract idea closed to the real world.. But

what fills the gap between this abstract world and the material world? That is where the Layout Designer but in.. To do Layout, is to materialize an idea to a diagram that can be manufacture. Is to follow the rules of the

fabrication process.. To understand the manufacture uncertainty that the IC production has and work around to magnify the number of able parts that can be produced. It is to see the possible faults that the abstraction can not see..Is to collaborate between many seccion.. It is to be one step ahead in order to achieve a goal. To do layout is

to be creative.. To be technical.. And maybe.. A little of Black Magic.

Bio Sketch Juan Manuel Perdomo primary works as Section Head, Layout Engineer in Allegro MicroSystems, LLC, Argentina. He has 5 years of experience in the layout design of the physical layer of integrated circuit using the

Virtuosus design suit from Cadence.

He is also a faculty professor in the Universidad Tecnológica Nacional, Buenos Aires, Argentin. Where he dictates the Subject Representation systems which covers the fundamentals of the graphic representation of technical systems focusing on the drawing tools used for PCB Electronic Design. In addition he is the Assistant

professor of the subject Electronic Measures 1 at the same University, where he covers the uncertainty of electronic measurements.


KEYNOTES SPEAKERS

TALK 12 “Computational Studies of Gravitational Lenses”.


Cristian Eduard Rusu

Subaru Telescope Project Research Fellow at the National Astronomical Observatory of Japan (NAOJ)

Abstract:

Gravitational lensing is the phenomenon of the bending of light from distance sources, as they pass through the

vicinity of massive objects. It is a topic of increasing attention in modern astrophysics, with various applications

such as in the discovery of exoplanets, the study of dark matter in galaxies, and the expansion of the universe.

After a basic mathematical introduction to gravitational lensing, in this lecture I will give conceptual explanations

of these applications, while highlighting current relevant computational techniques, from model fitting to image

reconstruction to machine learning.

Biosketch:

Cristian Eduard Rusu is a Subaru Telescope Project Research Fellow at the National Astronomical Observatory

of Japan (NAOJ). As a graduate student, he was awarded the Japanese Monbukagakusho Scholarship and the

Fellowship of the Japan Society for the Promotion of Science. He has obtained his PhD in 2014 from the

University of Tokyo, after which he has worked as a postdoc at the University of California, Davis and the

Subaru Telescope, Hawaii. His research activities are focused on the observational and computational study of

gravitational lenses, and their application in galaxy evolution and cosmology. He is author of 39 peer-reviewed

papers and gave 24 conference presentations, seminars and invited lectures.

Valparaíso, octubre 29-31, 2019. Pontificia Universidad...

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