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Transcript of 2021 IEEE Industrial Electronics and Applications ...

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

IEACon 2021

2021 IEEE Industrial Electronics and Applications Conference

VIRTUAL EDITION 22 to 23 November 2021

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

CONTENT WELCOME MESSAGE……….…………………………………………………………………………………………….iii

ORGANISING COMMITTEE…….……………………………………………………………………………………….iv

REVIEWERS…………………………………………………………………………………………………………………..v

TECHNICAL PROGRAM…………………………………………………………………………….…………………….x

Monday, November 22...………………………………………………………………………………………….xi

Tuesday, November 23………………………………………………………………………………………….xiii

ABSTRACTS…..………………………………………………………………………………………………………….xviii

AUTHORS INDEX………………………………………………………………………………...................................xxxiv

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

WELCOME MESSAGE

IEEE Malaysia Industrial Electronics (IE) and Industrial Applications (IA) Joint Chapter is honoured to host the 2nd IEEE Industrial Electronics and Applications Conference (IEACon 2021) in fully virtual from 22nd to 23rd November 2021. This event is technically sponsor by IEEE Industrial Applications Society. We gratefully acknowledge PCEB for their help and support in the preparation for this event. As we know that the pandemic Covid-19 is dramatically impacting livelihood, limiting the movement and the international cross-border restrictions, therefore this year’s conference is conducted virtually. Despite of the current situation, this virtual conference shall serve the same purpose in sharing and disseminating the new knowledge in engineering among delegates.

The IEACon 2021 is virtually attended by 21 countries represented by 244 authors comprise of 71 accepted papers from 103 submissions. All papers will be sent for indexing in IEEE Xplore proceedings. 20% of submitted papers will be invited to submit extended versions of their manuscripts for consideration in the IEEE Transactions on Industrial Applications and IEEE IAS Magazine. Each paper received has been going for at least two reviews. The success of IEACon 2021 depends completely on the effort and talent of researchers in the field of Industrial Electronics and Industrial Applications who have written and submitted papers on a variety of topics. Praise is also dedicated for the program committee members and external reviewers who have spent time in analysing and assessing multiple papers who hold and maintain a high standard of quality for this conference. Additional thanks for the service and beyond the call of duty regarding organizational and production details that permits relaxed deadlines for conference participants.

We are delighted to introduce two renowned speakers, Professor Dr. Kan Akatsu from Yokohama National University, Japan and Professor Dr. Sewan Choi from Seoul National University of Science and Technology, Korea to deliver speeches in the areas of electrical conversion technology for electric vehicle (EV). These two experts carry high merits in their fields to share their expertise for further scientific knowledge exploration. We truly hope that you will enjoy the live keynote session of this event.

Finally, we welcome you to Georgetown, Penang, Malaysia in a virtual environment. If not due to Covid-19 restriction, Georgetown, being listed as a UNESCO World Heritage Site, has always be a fascinating fusion of eastern and western influences where the island manages to embrace modernity while retaining its colonial traditions due to its well-preserved heritage buildings. Nevertheless, we hope you will stay safe during this pandemic and God Willing we will see you all again in IEACon 2022.

Thank you

Rahimi Baharom General Chair 2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

ORGANIZING COMMITTEE General Chair

Rahimi Baharom IEEE PELS, IE/IA, Universiti Teknologi MARA

Technical Program Chair

Mohd Amran Mohd Radzi IEEE PELS, IE/IA, Universiti Putra Malaysia

Finance Chair

Khairul Safuan Muhammad IEEE PELS, IE/IA, Universiti Teknologi MARA

Publication Chair

Syed Farid Syed Adnan IEEE IE/IA, Universiti Teknologi MARA

Local Arrangement and Exhibition Chairs

Nadia Tan Mei Lin IEEE PELS, Universiti Tenaga Nasional Norzaihar Yahaya IEEE PELS, Universiti Teknologi PETRONAS Ramani Kannan IEEE PELS, Universiti Teknologi PETRONAS

Publicity Chairs Azlee Zabidi IEEE IE/IA, Universiti Malaysia Pahang Shamsul Aizam Zulkifli IEEE PELS, IE/IA, Universiti Tun Hussein Onn Malaysia

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

REVIEWERS

Abdalhossein Rezai (University of Science and Culture) Abdolazim Yaghooti (Amirkabir University of Technology) Adnan Adnan (Universitas Hasanuddin) Aftab Ahmed Chandio (University of Sindh) Ahmad Alabqari Ma' Radzi (Universiti Tun Hussein Onn Malaysia) Ahmad Farid Abidin (Faculty of Electrical Engineering, Universiti Teknologi Mara) Ahmad Norozpour Niazi (Shahid Rajaee Teacher Training University, Tehran) Ahmad Wafi Mahmood Zuhdi (Universiti Tenaga Nasional) Alessandro Carrega (CNIT) Alessandro Testa (Ministry of Economy and Finance) Ali Rafiei (University of Technology Sydney) Ali Wagdy (King AbdelAziz University-North Jeddah Branch) Alireza Ghasempour (ICT Faculty) Ameenulla Jahabar Ali (Queen's University Belfast) Amir Hossien Mohammadzadeh Niaki (Niroo Research Institute (NRI)) Amrita A Manjrekar (Shivaji University) Aniruddha Bhattacharjya (Tsinghua University) Anna Antonyová (University of Prešov in Prešov) Arif Mohammed (Muffkham Jah College of engineering and Technology) Atiqah Hamizah Mohd Nordin (Univerisiti Teknologi MARA) Awang Jusoh (Universiti Teknologi Malaysia) Aws Yonis (Ninevah University) Ayan Mondal (Univ Rennes, Inria, CNRS, IRISA) Azuwa Ali (Universiti Malaysia Perlis) B Chitti Babu (Indian Institute of Information Technology, Design and Manufacturing) Bong Jun Choi (Soongsil University) Boon Chong Ang (Intel) Brian Azzopardi (Malta College of Arts, Science and Technology) Brij Gupta (National Institute of Technology Kurukshetra) Carlos Ferreira (Instituto Superior de Engenharia de Coimbra) Charalampos Pitas (Independent Power Transmission Operator SA) Chidananda Murthy M V (Sri Siddhartha Institute of Technology) Chinmay Chakraborty (Birla Institute of Technology, Mesra) Chitra Venugopal (Oregon Institute of Technology) Chutisant Kerdvibulvech (National Institute of Development Administration) Dan Ciulin (E-I-A) Dan Milici (University of Suceava) David Forsyth (UTM) Deepak Singh (Dayalbagh Educational Institute) Dinesh Bhatia (Biomedical Engineering Department, North Eastern Hill University) Diogo Gomes (Universidade de Aveiro) Dirman Hanafi (Universiti Tun Hussein Onn Malaysia) Domenico Ciuonzo (University of Naples Federico II)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Dragana Krstić (Faculty of Electronic Engineering, University of Niš) Duy Huynh (Ho Chi Minh City University of Technology (HUTECH)) Eduard Babulak (Liberty University) Eduardo Pinos (Universidad Politécnica Salesiana) Elyas Rakhshani (Delft University of Technology, TU Delft) Fauzan Ahmad (MJIIT, Universiti Teknologi Malaysia) George Dekoulis (American University of Cyprus (AUCY)) Giovanni Petrecca (University of Pavia) Hafiz Rashidi Ramli (Universiti Putra Malaysia) Hamidah Ibrahim (Universiti Putra Malaysia) Hareesha KS (Manipal Institute of Technology) Harikumar Rajaguru (Bannari Amman Institute of Technology) Hasnizah Aris (Universiti Malaysia Perlis (UniMAP)) Hazry Desa (Universiti Malaysia Perlis) Hing Keung Lau (Hong Kong Institute of Vocational Education (Tuen Mun)) Houbing Song (Embry-Riddle Aeronautical University) Hua Nong Ting (Universiti Malaya) I-Cheng Chang (National DongHwa University) Ibrahim Nasir (Sebha University) Ida Laila Ahmad (Universiti Tun Hussein Onn Malaysia) Iskandar Yahya (Universiti Kebangsaan Malaysia) Jaekwang Kim (Sungkyunkwan University) Jaime Calvo-Gallego (University of Salamanca) Javier Gozalvez (Universidad Miguel Hernandez de Elche) Jayanta Debnath (University of Cincinnati) Jiachyi Wu (National Taiwan Ocean University) Jolly Parikh (Bharati Vidyapeeth's College of Engineering, New Delhi) Kapil Wankhade (Ministry of Electronics and Information Technology, Government of India, New Delhi) Kenneth Nwizege (Ken Saro-Wiwa Polytechnic, Bori) Khairulmizam Samsudin (Universiti Putra Malaysia) Koteswararao Kondepu (Indian Institute of Technology Dharwad) Lawal Lasisi (NigComSat) Leong Yeng Weng (Universiti Tenaga Nasional) Lim Aik (Universiti Malaysia Perlis) Linda Mohd Kasim (Universiti Teknologi MARA, Cawangan Pulau Pinang) Lisandro Lovisolo (State University of Rio de Janeiro) Madan Singh (RITES Limited) Mahdi Karami (Universiti Putra Malaysia) Mahendra Singh (National Institute of Technology Karnataka) Maizatul Zolkapli (Universiti Teknologi MARA) Majid Aryanezhad (Tesla Energy Company) Marco Listanti (University of Rome "La Sapienza") Marinah Othman (Universiti Sains Islam Malaysia) Massimo Villari (University of Messina) Matthias Vodel (University of Applied Sciences Mittweida)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Md. Rasheduzzaman (Southeast Missouri State University) Mihai Gavrilas (Technical University of Iasi) Ming-Fong Tsai (National United University) Mohamad Zaid Mohamad Ali (Tenaga Nasional Berhad) Mohammad Faiz Liew Abdullah (Universiti Tun Hussein Onn Malaysia (UTHM)) Mohammad Yazdani-Asrami (University of Strathclyde) Mohd Alif (Universiti Malaysia Perlis) Mohd Ashraf Ahmad (Universiti Malaysia Pahang) Mohd Zamri Hasan (University Malaysia Perlis) Mona Riza Mohd Esa (Universiti Teknologi Malaysia) Montree Kumngern (King Mongkut's Institute of Technology Ladkrabang) Muhammad Rashid (IIUM Gombak Malaysia) Muhammad Reza Kahar Aziz (Institut Teknologi Sumatera) Muharrem Tümçakır (Gebze Technical University) Muthukumar Subramanian (Indian Institute of Information Technology Trichy, Tamilnadu (Formerly), NCET, Bangalore) N Nasimuddin (Institute for Infocomm Research) Nadheer Shalash (Al-Mamon University College) Nandha Kumar Thulasiraman (University of Nottingham) Narendra Shukla (Shiv Nadar University) Narkedamilly Leelavathy (Jawaharlal Nehru Technological University) Nikhil Marriwala (Kurukshetra University) Nishant Doshi (PDPU) Noor Zaman (Taylor's University) Norazlan Hashim (Shah Alam, Selangor) Norhidayu Rameli (Universiti Putra Malaysia) Norhisam Misron (Universiti Putra Malaysia) Noriko Etani (All Nippon Airways Co., Ltd.) Norshamsuri Ali (Mimos Berhad) Norsuzila Ya'acob (Universiti Teknologi Mara) Nuno Garcia (Universidade da Beira Interior) Nur Ashida Salim (Universiti Teknologi MARA) Otavio Teixeira (Universidade Federal Do Pará (UFPA)) Pablo Corral (Universidad Miguel Hernandez de Elche) Panagiotis Varzakas (University of Thessaly) Paolo Crippa (Università Politecnica delle Marche) Pascal Lorenz (University of Haute Alsace) Patrick Sebastian (Universiti Teknologi PETRONAS) Patrick Siarry (University of Paris XII) Pedro Moura (University of Coimbra) Ping Zhou (Apple) Piotr Zwierzykowski (Poznan University of Technology) Poming Lee (NCTU) Prabhakar C j (Kuvempu University) Pravin Kumar Venkatesan (Velodyne LiDAR) Priya Ranjan (SRM University, Amaravathi)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Pushpendra Singh (JK Lakshmipat University, Jaipur) Quoc-Tuan Vien (Middlesex University) Raaed Hassan (College of Electrical and Electronic Techniques, Baghdad) Rachit Patel (ABESIT Engineering College, Ghaziabad) Radu Vasiu (Politehnica University of Timisoara) Raja Nor Firdaus Kashfi Raja Othman (Universiti Teknikal Malaysia Melaka) Reza Sirjani (Eastern Mediterranean University) Rijalul Fahmi Mustapa (Universiti Teknologi MARA) Roberto Carlos Herrera Lara (National Polytechnic School) Rosaura Palma-Orozco (Instituto Politécnico Nacional) Rostyslav Sklyar (Independent Professional) Runer Marson (Brazilian Army Research Institute Physical Fitness) Saeed Alsamhi (Electronics Engineering) Sakena Abdul Jabar (Universiti Malaysia Sarawak) Salah Bourennane (Ecole Centrale Marseille) Salah Eldeen Gasim Mohamed Hassan (Sudan University of Science and Technology) Salman Yussof (Universiti Tenaga Nasional) Salsabila Ahmad (Universiti Malaysia Perlis) Sanjay Singh (Manipal Institute of Technology) Sathish Kumar Selvaperumal (Asia Pacific University of Technology and Innovation) Satyendra Vishwakarma (Babasaheb Bhimrao Ambedkar University) Sew Sun Tiang (Universiti Sains Malaysia) Shamsul Zulkifli (Universiti Tun Hussein Onn Malaysia) Shashikant Patil (SVKM NMIMS Mumbai India) Shashikant Patil (SVKMs NMiMS Mumbai India) Shih Yin Ooi (Multimedia University) Shilpa Mehta (FACULTY) Shilpi Birla (Manipal University Jaipur) Siamack Ghadimi (Lund University LTH) Siti Rohani Sheikh Raihan (Universiti Malaya) Sorin Ioan Deaconu (Politechnica University Timisoara) Stavros Ntalampiras (Università degli studi Milano) Stefano Chessa (Universita' di Pisa) Su-Lim Tan (Singapore Institute of Technology) Subhasis Bhattacharjee (Adobe Systems India Private Limited) Sudhir Paraskar (S.S.G.M.C.E.Shegaon) Sumiaty Ambran (Universiti Teknologi Malaysia) Suresh Tummala (Gokaraju Rangaraju Institute of Engineering & Technology) Syahrul Ashikin Azmi (Universiti Malaysia Perlis) Syamsul Rizal Abd Shukor (Universiti Sains Malaysia) Syamsuri Yaakob (Universiti Putra Malaysia) TC Manjunath (Dayananda Sagar College of Engineering, Bangalore, Karnataka) Thaweesak Yingthawornsuk (King Mongkut's University of Technology Thonburi) Theofilos Chrysikos (University of Patras) Thiang Hwang Liong Hoat (Petra Christian University)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Toktam Sharifian Attar (Khorasan Regional Electricity Company) Tomonobu Sato (Hitachi ICT Business Services, Ltd.) Tomonobu Senjyu (Faculty of Engneering, University of the Ryukyus) Udai Jha (Uttar Pradesh Technical University) Umapathy Eaganathan (School of Computing) Varghese Vaidyan (Iowa State University) Vengadeshwaran Velu (Manipal International University. Malaysia) Vinayak Shet (Goa College of Engineering) Visvasuresh Victor Govindaswamy (Concordia University) Wael Salah (Palestine Technical University - Kadoorie) Wagner Santos (Federal University of Campina Grande) Wan Zuki Azman Wan Muhamad (Universiti Malaysia Perlis) Yaareb Al-Khashab (Ministry of Water Resources/Badush Dam) Yap Hoon (Taylor's University) Yasser Mohammad (NEC) Yassine Salih-Alj (Al Akhawayn University) Yi Zhang (Huawei Technologies Ireland) Yusuf Yusliza (Universiti Teknikal Malaysia Melaka) Yuuichi Teranishi (NICT) Zahéra Mekkioui (University of tlemcen) Zaipatimah Ali (Uniten) Zbigniew Piotrowski (Military University of Technology) Zeashan Khan (Air University) Zuraini Dahari (Universiti Sains Malaysia)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

TECHNICAL PROGRAM

Time Virtual Room A Virtual Room B

Monday, November 22, 2021

09:30-10:00 Online Registration via CISCO WEBEX

10:00-10:15 Welcoming Remarks

10:15-11:15 KEYNOTE 1 (Professor Dr. Kan Akatsu - Yokohama National University, Japan): Integration technology of electric machines and inverter system in EV

11:15-12:15 KEYNOTE 2 (Professor Dr. Sewan Choi - Seoul National University of Science and Technology, Korea): High power density, high efficiency on-board battery chargers for electric vehicles

12:15-12:30 Announcement of the Best Paper Award

12:00-14:30 BREAK

14:30-16:30 A11: Power Electronics 1 B11: Control Systems, Robotics and Mechatronics 1

Tuesday, November 23, 2021

08:30-10:30 A21: Power Electronics 2 B21: Electrical Machines and Drives

10:30-12:30 A22: Power Electronics 3 B22: Sensors, Actuators and Micro-Nanotechnology / Renewable Energy / Power Systems and Smart Grids

12:30-14:30 BREAK

14:30-16:30 A23: Power Electronics 4 B23: Control Systems, Robotics and Mechatronics / Electrical Machines and Drives / Cloud Computing, Big Data and Software Engineering

16:30-18:10 A24: Signal and Image Processing and Computational Intelligence

B24: Electronic Systems on Chip and Embedded Control / Industrial Automation, Communication, Networking and Informatics / Industrial Electronics and Education

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Monday, November 22, 2021 Session : Keynote 1 Title : Integration technology of electric machines and inverter system in EV Presenter : Professor Dr. Kan Akatsu (Yokohama National University, Japan) Time : 10:15 - 11:15 Room : Online via CISCO WEBEX Chair : Professor Dr. Mohd Amran Mohd Radzi (Universiti Putra Malaysia, Malaysia)

SYNOPSIS

Recent EV development is requesting further high efficiency, high power density, and high torque density electric machine. From this trend, E-Axle that integrates the electric machine, the inverter, and the reduction gear becomes more popular. To investigate further development in the integration system in EV, I introduce multi-phase machine and multi-phase drive technique by using SiC-MOS-FET to satisfy the fault tolerant system in EV. I integrated this system in 16-inch in-wheel motor, the basic characteristics of the system is introduced in the speech. Also further technique to achieve high efficiency, high torque density, and less acoustic noise will be introduced. Session : Keynote 2 Title : High power density, high efficiency on-board battery chargers for electric vehicles Presenter : Professor Dr. Sewan Choi (Seoul National University of Science and Technology, Korea) Time : 11:15 - 12:15 Room : Online via CISCO WEBEX Chair : Professor Dr. Mohd Amran Mohd Radzi (Universiti Putra Malaysia, Malaysia)

SYNOPSIS

Recently, major automobile companies set ambitious EV development roadmaps, and EV chargers that are compatible with both the single-phase and three-phase grids are gaining more attention. According to 2025 DoE roadmap, the power density and efficiency targets for the EV on board charger are challengeable, which requires 4 kW/kg and 4.6 kW/L with efficiency of 98%. In the meanwhile, owing to lower operating cost, EVs are more suitable for mobility-as-a-service applications such as connected-taxi and car-share. This kind of vehicles requires operating time of 50,000 to 80,000 miles a year which is three to four times higher than that of the private passenger vehicles, meaning that high durability is a key performance. In response to this concern, the life expectancy target for 2025 was increased from 150,000 to 300,000 miles. In this talk, general overview of the state-of-the-art OBC technologies along with their technical challenges and issues are discussed. A single-stage E-capless battery charger is introduced, and recent research results on high power density, high efficiency E-capless single-stage EV chargers will be presented. 12:15 - 12:30 : Announcement of the Best Paper Award 12:30 - 14:30 : Break

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Monday, November 22, 2021 Time : 14:30 - 16:30 Session : A11: Power Electronics 1 Room : Virtual Room A 14:30 Grid to Vehicle Wireless Power Transfer Using Single Phase Matrix Converter (SPMC)

Rahimi Baharom and Khairul Safuan Muhammad (Universiti Teknologi MARA, Malaysia) 14:50 Modelling Power Loss of High-Frequency Inductor Under Distorted Current Waveforms

Guoxing Wang (The University of Auckland, New Zealand); Dai Bui (University of Auckland, New Zealand); Lei Zhao, Qi Zhu and Aiguo Patrick Hu (The University of Auckland, New Zealand)

15:10 LCL Filter Design Based on Ripple Current Minimization Approach for Grid-Connected Inverter

Application Muhamad Faizal Yaakub (Universiti Teknikal Malaysia Melaka, Malaysia); Mohd Amran Mohd Radzi (Universiti Putra Malaysia, Malaysia); Maaspaliza Azri (Faculty of Engineering & UTeM Malacca, Malaysia); Faridah Hanim Mohd Noh (Universiti Tun Hussien Onn Malaysia, Malaysia)

15:30 Modeling and Analysis of High Frequency Magnetic Link-Based 11 kV Asymmetric 21 Level Inverter for

Solar Photovoltaic System Md Tariqul Islam, Md. Hasan Maruf and Asm Shihavuddin (Green University of Bangladesh, angladesh); Ratil Ashique (Green University Bangladesh, Bangladesh); Sourav Barua and Fayzur Rahman (Green University of Bangladesh, Bangladesh)

15:50 Quantization and Sampling Effects in Fast Digitally Controlled Switch-Mode DC/DC Buck Converters

Martin Schubert (Ostbayerische Technische Hochschule (OTH) Regensburg, Malaysia); Wai Kong Lee (Gachon University, Korea (South)); Boon Yaik Ooi (UTAR, Malaysia)

16:10 Centralised and Individual Shunt Active Power Filters in Radial Electrical Systems

Nor Farahaida Abdul Rahman and Nurzawanah Zuhairah Sa'adon (Universiti Teknologi MARA, Malaysia)

Time : 14:30 - 16:30 Session : B11: Control Systems, Robotics and Mechatronics 1 Room : Virtual Room B 14:30 Modeling and Simulation of a Satellite Training Kit for Providing Space Systems Engineering Knowledge

and Technological Development in STEAM MD. Khairul B. Bhuiyan (BRAC University, Bangladesh); A. K. M Abdul Azad (Brac University, Bangladesh); Raihana Shams Islam Antara and MD. Shoaib Islam (BRAC University, Bangladesh); Tanjidul Islam Sanvi (Brac University, Bangladesh); Jahid H. Talukder (BRAC University, Bangladesh)

14:50 KIT Bus: A Shuttle Model for CARLA Simulator

Yusheng Xiang (Karlsruhe Institute of Technology, Germany) 15:10 Circular Formation Maintenance Under Single Integrator Generalized Cyclic Pursuit

Antoine Ansart and Jyh-Ching Juang (National Cheng Kung University, Taiwan) 15:30 Investigation of ROS Based Environment Modelling and Mobile Robot Position Estimation With Dead

Reckoning and Uncertainties Hamzah Ahmad, Ts. (University Malaysia Pahang & MBOT, Malaysia); Mohd Syakirin Ramli (Universiti Malaysia Pahang, Malaysia); Amir Shafie (International Islamic University Malaysia, Malaysia); Mohd

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Hezri Fazalul Rahiman (UiTM, Malaysia); Mohamad Heerwan Peeie (Universiti Malaysia Pahang, Malaysia)

15:50 An Automated System for Estimating GSM Value of Fabrics Using Beta Particle Absorption

Characteristics Sanjana L Dias (Sri Lanka Institute of Information of Technology, Sri Lanka); Kekiriwara godage Dilana Sandaruwan (Royal Casks Distilleries (Pvt) Ltd, Sri Lanka); Shalitha Madhawa Jayasekara (The Open Univerisity of Sri Lanka, Sri Lanka)

16:10 Remote Probing Solution With Augmented Reality

Angie See Tien Ng, Mohammad Saifullah Mohd Salman, Lau Tuck Sheng, Koay Xian Hong and Sze Lyn Chng (Intel Microelectronics Sdn Bhd, Malaysia)

Tuesday, November 23

Tuesday, November 23, 2021 Time : 08:30 - 10:30 Session : A21: Power Electronics 2 Room : Virtual Room A 8:30 Modified Five-Level Inverter for PV Energy System With Reduced Switch Count

Ali Bughneda (Universiti Sains Malaysia, Malaysia); Mohamed Salem (Universiti Sains Malaysia (USM), Malaysia); Dahaman Ishak (Universiti Sains Malaysia, Malaysia); Salah Alatai (Universiti Sains Malaysia, Malaysia & Bani Waleed University, Libya); Mohamad Kamarol Mohd Jamil (Universiti Sains Malaysia, Malaysia); Khlid Ben Hamad (Cape Peninsula University of Technology, South Africa)

8:50 Cascaded Multi-Level Inverter for Battery Charging-Discharging Using Buck-Boost Switch

Salah Alatai (Universiti Sains Malaysia, Malaysia & Bani Waleed University, Libya); Mohamed Salem (Universiti Sains Malaysia (USM), Malaysia); Dahaman Ishak, Ali Bughneda and Mohamad Kamarol Mohd Jamil (Universiti Sains Malaysia, Malaysia); Doudou N. Luta (University of Technology Cape Town, South Africa)

9:10 Small Signal Model of the Three-Phase AC-DC Current Injection Hybrid Resonant Converter

Rahimi Baharom and Khairul Safuan Muhammad (Universiti Teknologi MARA, Malaysia) 9:30 Simplified Power Estimation Feedforward to Reduce DC-Link Capacitance in Single-Phase Dual-Stage

Full-Bridge Microinverter Pokkrong Vongkoon and Pisit Liutanakul (King Mongkut's University of Technology North Bangkok, Thailand)

9:50 Cell Open Circuit Fault Diagnostic for Series-Parallel Connected Li-Ion Battery Pack

Shiyao Zhou and Ziqiang Chen (Shanghai Jiao Tong University, China); Jianyu Lan (Shanghai Institute of Space Power Sources, China); Mengxue Dong (Shanghai Institute of Space Power-sources, China)

10:10 An Online State of Health Estimation Method for Lithium-Ion Battery Based on ICA and TPA-LSTM

Xian Cui (Shanghai Jiaotong Univetsity, China); Ziqiang Chen (Shanghai Jiao Tong University, China); Jianyu Lan (Shanghai Institute of Space Power Sources, China); Mengxue Dong (Shanghai Institute of Space Power-sources, China)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

Time : 08:30 - 10:30 Session : B21: Electrical Machines and Drives Room : Virtual Room B 8:30 Integration on VVVF Drive System for Induction Motor Speed Control With Look Up Table

Shamsul Zulkifli (Universiti Tun Hussein Onn Malaysia, Malaysia) 8:50 Rotor Position Estimation of PMSM With Noise Suppression Using Steady-State Linear Kalman Filter

and High Frequency Square Wave Injection Jingbin Sun (Nanjing University of Aeronautics and Astronautics,China); Feng Ju, Qinghao Wang, Yan Hong, Bai Chen and Hongtao Wu (Nanjing University of Aeronautics and Astronautics, China); Guoxiang Hu (Jiangsu Hengli Hydraulic Co., Ltd, China)

9:10 Synchronous Reluctance Motor Drive System Fed From Three-Phase Matrix Converter

Kotb B. Tawfiq and Ahmed Selema (Ghent University, Belgium); Mohamed Nabil (UGent, Belgium); Peter Sergeant (Ghent University, Belgium)

9:30 Thermal Parametric Sensitivity Analysis of an IPMSM With Multi Three-Phase Sector Windings

Topology Under Normal, Partial and Partial Overload Operating Conditions Sayyed Haleem Shah, Xiaoyuan Wang, Usman Abubakar and Sadiq Ur Rehman (Tianjin University, China)

9:50 Effects of Inductance Error on Position Sensorless Control of Synchronous Reluctance Motor at Low

Speeds Using High-Frequency Current Controller Tatsuki Hayashi, Koki Kataoka and Mutuwo Tomita (National Institute of Technology, Gifu College, Japan); Masaru Hasegawa (Chubu University, Japan); Shinji Doki (Nagoya University, Japan)

10:10 Parametric Thermal Sensitivity Analysis of 225kW High-Speed PMSM for Blower Application

Usman Abubakar, Xiaoyuan Wang, Sayyed Haleem Shah and Sadiq Ur Rehman (Tianjin University, China)

Time : 10:30 - 12:30 Session : A22: Power Electronics 3 Room : Virtual Room A 10:30 Wireless Power Transfer System for Long-Term Sensor on Rotating Plane

Tao Li (Harbin Institute of Technology, China); Xiyou Chen (Dalian University of Technology, China); Zhengying Lang (State Grid Dalian Electric Power Supply Company, China); Xin Jin and Chen Qi (Dalian University of Technology, China); Yijie Wang (Harbin Institute of Technology, China)

10:50 Modeling and Analysis of Single-Wire Power Transfer System Using Distributed Parameter Resonant

Coil Tao Li (Harbin Institute of Technology, China); Xiyou Chen (Dalian University of Technology, China); Zhengying Lang (State Grid Dalian Electric Power Supply Company, China); Xin Jin and Chen Qi (Dalian University of Technology, China); Yijie Wang (Harbin Institute of Technology, China)

11:10 Estimating the Internal Resistance of Li-Ion Battery With Joule's Law to Find the Open Circuit Voltage

Venkata Nagarjun PM, Hirshik Ram S, Pratik Uthan and Veeramani V (National Institute of Technology Tiruchirappalli, India); Senthil S (National Institute of Technology, Trichy, India)

11:30 Power Controller Effects for Mitigating Harmonics in a Three Phase Grid-Connected Inverter

Fauzan Ismail (University of Malaya); Jafferi Jamaludin (University of Malaya, Malaysia); Nasrudin Abdul Rahim (University Malaya, Malaysia)

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2021 IEEE Industrial Electronics and Applications Conference (IEACon 2021), 22-23 November 2021, Virtual Edition

11:50 Response of a Bidirectional EV Charger to Selected Grid Disturbances Haque Md Mejbaul and Laura Jones (Australian National University, Australia); Bjorn Sturmberg (The Australian National University, Australia)

12:10 Comparison of Image Restoration Using Median, Wiener, and Gaussian Filtering Techniques Based on

Electrical Tree Cik Siti Khadijah Abdulah (Universiti Malaysia Perlis, Malaysia)

Time : 10:30 - 12:30 Session : B22: Sensors, Actuators and Micro-Nanotechnology/Renewable Energy/Power Systems and Smart Grids Room : Virtual Room B 10:30 Non-Destructive Evaluation of Flexible Sachet Seal Integrity Using a Capacitive Proximity Sensor

Hari Krishna Salila Vijayalal Mohan, Choon Hong Toh and Andrew Alexander Malcolm (Advanced Remanufacturing and Technology Centre (ARTC), Singapore)

10:50 Stream Sediment Rate Estimation Using Optical Sensing

Uthpala Premarathne (The Open University of Sri Lanka, Sri Lanka); Kasun sameera saranga Bamunusingha Arachchige (OUSL, Australia)

11:10 Analysis of Frequency Spectral Features of Coughing Activity From Tri-Axial Accelerometer Sensor at

Multiple Body Points Kruthi Doddabasappla and Rushi Vyas (University of Calgary, Canada)

11:30 Image Segmentation-Based Event Detection for Non-Intrusive Load Monitoring Using Gramian Angular

Summation Field Shafiqur Rahman Tito (Manukau Institute of Technology, New Zealand); Attique Ur Rehman (Horizon Energy Group, New Zealand); Youngyoon Kim, Pieter Nieuwoudt, Saad Aslam and Snjezana Soltic (Manukau Institute of Technology, New Zealand); Tek Tjing Lie (Auckland University of Technology, New Zealand); Neel Pandey and M. Daud Ahmed (Manukau Institute of Technology, New Zealand)

11:50 A Simulation Model and New Speed Control Method of Switched Reluctance Generator for Wind-

Generator Systems Hai-Jiao Guo (Tohoku-gakuin University, Japan); Jinya Yoshida (Tohoku-Gakuin University, Japan); Ishihara Tadashi (Fukushima University, Japan)

12:10 Reliability Evaluation and Cost Analysis for Optimized Large Scale Solar PV System

Mohamed Nageh and Md Pauzi Abdullah (Universiti Teknologi Malaysia, Malaysia) Time : 14:30 - 16:30 Session : A23: Power Electronics 4 Room : Virtual Room A 14:30 Control of N-Connected Current-Programmed Independent-Input Series-Output Boost DC-DC

Converters M. R. D. Al-Mothafar (JUST, Jordan)

14:50 Open Circuit Fault Tolerant Bridgeless Cuk Rectifier With Fault Detection Technique

Khairul Safuan Muhammad, Muhamad Syahmi Hakim Mohd Izani and Rahimi Baharom (Universiti Teknologi MARA, Malaysia)

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15:10 Fault-Tolerant Single-Phase AC-DC Boost Matrix Converter Khairul Safuan Muhammad, Muhammad Hafiz Saniman and Rahimi Baharom (Universiti Teknologi MARA, Malaysia)

15:30 The Improvement of 5kV-Output Boost Converter Using Interleaving Method

Nor Zaihar Yahaya and Adlina Filza Mohamed Azlan (Universiti Teknologi PETRONAS, Malaysia) 15:50 Implementation of Three-Phase Bidirectional Isolated DC-DC Converter With Improved Light-Load

Efficiency Nuraina Syahira Mohd Sharifuddin, Nadia Tan and Chuen Ling Toh (Universiti Tenaga Nasional, Malaysia); Ahmad Ramli (Universiti Tenga Nasional, Malaysia)

16:10 AC/DC Fault-Ride-Through Control for Single-Phase PV Inverter

Muhammad Talha (University of Malaya & UM Power Energy Dedicated Advanced Center (UMPEDAC), HiCOE, Malaysia); Siti Rohani Sheikh Raihan (Universiti Malaya, Malaysia); Nasrudin Abdul Rahim (University Malaya, Malaysia)

Time : 14:30 - 16:30 Session : B23: Control Systems, Robotics and Mechatronics/Electrical Machines and Drives/Cloud Computing, Big Data and Software Engineering Room : Virtual Room B 14:30 Analysis of Trajectory Tracking Control Algorithms for Wheeled Mobile Robots

Najva Hassan (Government Engineering College, Thrissur, Kerala, India); Abdul Saleem (Government Engineering College, Thrissur, Kerala & A P J Abdul Kalam Technological University, India)

14:50 Trajectory Tracking Control of a Field Inspection Quadrotor UAV Considering Battery Consumption

Jimmy Smith (University of Dayton, USA) 15:10 Assistive Hand Device Using Silicone Actuators

Chitra Venugopal (Oregon Institute of Technology, USA) 15:30 Analysis of the Radial Component of Electromagnetic Force Density and Vibration Behavior of an

IPMSM With Multiple Three-Phase Winding Units Sayyed Haleem Shah, Xiaoyuan Wang and Usman Abubakar (Tianjin University, China); Peng Gao (Tianjin University,China, China)

15:50 Numerical Analysis of Brushless DC Motor for Indoor High Volume Low Speed Fan

Saharudin Kamaroszaman (Universiti Teknikal Malaysia Melaka, Malaysia); Raja Nor Firdaus Kashfi Raja Othman (Universiti Teknikal Malaysia Melaka & Universiti of Putra Malaysia, Malaysia); Kasrul Abdul Karim (Universiti Teknikal Malaysia Melaka, Malaysia); Suhairi Rizuan Che Ahmad (Universiti Kuala Lumpur-British Malaysia Institute, Malaysia); K. Tashiro (Shinshu University, Japan); Zulkufli Zakaria (Suria Giant Fan Services Sdn Bhd, Malaysia)

16:10 Low-Cost Queuing Management System for Health Clinic

Syed Farid Syed Adnan (Universiti Teknologi MARA, Malaysia)

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Time : 16:30 - 18:10 Session : A24: Signal and Image Processing and Computational Intelligence Room : Virtual Room A 16:30 Cost Effective Energy Optimization and Indoor Surveillance

Hiren Gami (Miami University - OH, USA) 16:50 Reinforcement Learning for Cart Pole Inverted Pendulum System

Atikah Surriani (Universitas Gadjah Mada, Indonesia); Oyas Wahyunggoro (UGM, Indonesia); Adha Imam Cahyadi (Universitas Gadjah Mada, Indonesia)

17:10 Detection of Internal Defects Based on Empirical Mode Decomposition and Wavelets Denoising

Xiang Qian and Zhiyuan Cheng (Tsinghua University, China) 17:30 CoVID-19 Mortality Forecasting in Malaysia Using PSO-NARX Algorithm

Ihsan M. Yassin (Universiti Teknologi Mara, Malaysia); Azlee Zabidi (Universiti Malaysia Pahang, Malaysia); Megat Syahirul Amin Megat Ali and Rahimi Baharom (Universiti Teknologi MARA, Malaysia)

17:50 A Real-Time Surface Defect Detection System for Industrial Products With Long-Tailed Distribution

Xiang Qian (Tsinghua University, China); Xiyu He (Tsinghua University & Tsinghua, China) Time : 16:30 - 18:10 Session : B24: Electronic Systems on Chip and Embedded Control/Industrial Automation, Communication, Networking and Informatics/Industrial Electronics and Education Room : Virtual Room B 16:30 Efficient Fast Charging Using Simultaneous Search of Optimal Frequency and Optimal Duty Cycle in

Pulse Charging Method Md. Tanvir Hossain, Saffat Newaz Sadmani, M Mustafiz Rahman, Md. Taohidul Haque Emon, Fariha Shahrin and A. K. M Abdul Azad (Brac University, Bangladesh)

16:50 A Flexible and Reliable Internet-Of-Things Solution for Real-Time Production Tracking

Boon Yaik Ooi (UTAR, Malaysia); Wai Kong Lee (Gachon University, Korea (South)); Martin Schubert (Ostbayerische Technische Hochschule (OTH) Regensburg, Malaysia); Yu Wei Ooi (W Tech Marketing Sdn. Bhd., Malaysia); Chee-Yang Chin (W Tech Marketing Sdn. Bhd, Malaysia); Wing Hon Woo (Arrow Systems Sdn. Bhd., Malaysia)

17:10 Fast/On-Time Channel Zapping Scheme Using a Cache Server Over IPTV Multicast System

HyunChul Joo and Kyungchul Kwak (SK Telecom, Korea (South)); Intai Kim ( & SK Telecom, Korea (South)); DaiBoong Lee (SK Telecom, Korea (South))

17:30 An IIoT-Based Networked Industrial Control System Architecture to Secure Industrial Applications

Sachin Sen (Unitec Institute of Technology, New Zealand) 17:50 Multiband Frequency of 4th Order Hilbert Fractal UHF Sensor Modelling for Partial Discharge Detection

in Power Transformer Dayini Roslizan (University Malaysia Perlis, Malaysia)

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ABSTRACT

A11: Power Electronics 1 14:30 Grid to Vehicle Wireless Power Transfer Using Single Phase Matrix Converter (SPMC) Rahimi Baharom and Khairul Safuan Muhammad (Universiti Teknologi MARA, Malaysia) This paper proposes to design an enhanced grid to the vehicle (G2V) wireless battery charger using Single Phase Matrix Converter (SPMC) circuit topology. The proposed circuit topology employed a single converter to perform direct AC to AC converter at the transmitting coil, thus reducing circuit complexity and power semiconductor losses. In this paper, the SPMC act as a direct AC to AC converter to convert the input supply voltage at 50 Hz into 20 kHz to meet the switching frequency operation of the Wireless Power Transfer (WPT) function. The high-frequency voltage at the output of the WPT circuit is then being rectified into DC form by using AC to DC converter. WPT technology is being used to remove the annoying wires of the conventional Electric Vehicles (EVs) charging system, thus improve the safety of the vehicle charging process by preventing any contact between the driver and the vehicle charging system. The proposed system uses the minimal circuit topology where the single SPMC circuit is used to replace the conventional two stages of AC-DC-AC converters. A computer simulation model of the proposed system using MATLAB/Simulink has been designed and modeled. Selected results are presented to verify the proposed circuit. 14:50 Modelling Power Loss of High-Frequency Inductor Under Distorted Current Waveforms Guoxing Wang (The University of Auckland, New Zealand); Dai Bui (University of Auckland, New Zealand); Lei Zhao, Qi Zhu and Aiguo Patrick Hu (The University of Auckland, New Zealand) Most inductor currents in switch-mode power electronic circuits have distorted waveforms, which makes it difficult to predict the power losses using traditional DC or high frequency AC equivalent resistances. This paper presents a high frequency inductor model that can be used for accurately calculating the power losses at multiple harmonic frequencies. A 2nd order equivalent circuit model is proposed to describe the dynamic characteristics of a high frequency inductor by considering the DC, fundamental and up to 4th order harmonic AC components. A procedure to determine the model parameters is proposed with known fundamental frequency, inductance, DC and equivalent AC resistances. In general, the equivalent circuit model of the inductor can be used for time domain simulation of power converters for more accurate results; and specifically it is applied to model a practical inductor used in a 5MHz Boost dc-dc converter and Class-E inverter respectively. The final power loss results show a good agreement with theoretical analysis. 15:10 LCL Filter Design Based on Ripple Current Minimization Approach for Grid-Connected Inverter Application Muhamad Faizal Yaakub (Universiti Teknikal Malaysia Melaka, Malaysia); Mohd Amran Mohd Radzi (Universiti Putra Malaysia, Malaysia); Maaspaliza Azri (Faculty of Engineering & UTeM Malacca, Malaysia); Faridah Hanim Mohd Noh (Universiti Tun Hussien Onn Malaysia, Malaysia) The fast-growing demand for renewable energy has stimulated the rapid development in the semiconductor device and power electronic converter technologies. The grid-connected inverter has to turn out to be normal in any distributed generation system. LCL filter is commonly adopted to interconnect an inverter to the utility grid, owing to its parametric performance but the common issue regarding resonance frequency and design constraints complexity remains unsolved entirely. In this paper, a simple LCL filter design is proposed. The ripple current minimization approach is adopted in the systematic design process to determine an optimized reactive components' value and mitigate its resonance frequency. Design feasibility is simulated in the Matlab/Simulink environment and consequently, extensive experimental work is carried out to validated the results with IEC61000-3-2 standards. 15:30 Modeling and Analysis of High Frequency Magnetic Link-Based 11 kV Asymmetric 21 Level Inverter for Solar Photovoltaic System Md Tariqul Islam, Md. Hasan Maruf and Asm Shihavuddin (Green University of Bangladesh, Bangladesh); Ratil Ashique (Green University Bangladesh, Bangladesh); Sourav Barua and Fayzur Rahman (Green University of Bangladesh, Bangladesh) This paper presents a high-temperature superconductor (HTS) based high frequency magnetic linked three-phase twenty-one-level 11kV asymmetric multilevel inverter for grid integrated solar photovoltaic system. The proposed topology uses the same cascaded H-bridge seven-level inverter with a triangular voltage sequence for generating

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desired voltage levels. In addition, a low-frequency modulation technique is developed to reduce the total harmonic distortion of the generated waveforms and the switching losses. A high-frequency transformer is utilized as the magnetic link to reduce the size and weight of the proposed inverter. Simulation results reveal that the proposed topology features low total blocking voltage and total harmonic distortion compared with conventional counterpart inverters. The proposed topology also employs a reduced number of components compared with the existing twenty-one-level inverter topologies that are commonly used for various multilevel inverter applications. 15:50 Quantization and Sampling Effects in Fast Digitally Controlled Switch-Mode DC/DC Buck Converters Martin Schubert (Ostbayerische Technische Hochschule (OTH) Regensburg, Malaysia); Wai Kong Lee (Gachon University, Korea (South)); Boon Yaik Ooi (UTAR, Malaysia) Software-defined control of DC/DC switch mode power converters features unequaled flexibility compared to analog control. For fast switching converters as recently used for low power applications, digital control may cause steady-state oscillations known as limit cycles. This effect based on a quantized duty cycle is compared to other aberrations such as output ripple voltage, which is inherent to any pulse-width modulator. A distinction is made between asynchronous and synchronous output voltage disturbances, wherein the latter is made up of the switching frequency and its harmonics. 16:10 Centralised and Individual Shunt Active Power Filters in Radial Electrical Systems Nor Farahaida Abdul Rahman and Nurzawanah Zuhairah Sa'adon (Universiti Teknologi MARA, Malaysia) Nonlinear loads in a radial electrical system generate harmonic components that distort supply current at the Point of Common Coupling (PCC). As a result, any linear load connected to the same PCC will operate under the distorted current condition. The radial system can install a Shunt Active Power Factor (SAPF) to mitigate the harmonic components. This work focuses on the centralised and individual SAPFs implementation to the supply current and linear load current waveforms in the radial system. There are three models of single-phase radial systems with a mixture of linear and nonlinear loads. An inductive linear load will be connected at the upstream, middle-stream or downstream of the radial systems. A single-phase SAPF based on Voltage Source Inverter (VSI) topology will act as centralised and individual SAPF depending on its connection points. A most straightforward control system consists of current and voltage control algorithms regulating the SAPF operation. According to the simulation findings, the centralised and individual SAPFs can mitigate harmonic components successfully. Regardless of the linear load's location, both filters maintain their performance in reducing the Total Harmonic Distortion (THD) of the supply current below 5%. However, they show different effects on the linear load current waveform. In conclusion, the centralised and individual SAPFs in the radial electrical system have different pros and cons.

B11: Control Systems, Robotics and Mechatronics 1 14:30 Modeling and Simulation of a Satellite Training Kit for Providing Space Systems Engineering Knowledge and Technological Development in STEAM MD. Khairul B. Bhuiyan (BRAC University, Bangladesh); A. K. M Abdul Azad (Brac University, Bangladesh); Raihana Shams Islam Antara and MD. Shoaib Islam (BRAC University, Bangladesh); Tanjidul Islam Sanvi (Brac University, Bangladesh); Jahid H. Talukder (BRAC University, Bangladesh) Aerospace Engineering is an emerging division of modern engineering nowadays. Many space programs have been taken lately at the graduate and post-graduate levels to familiarize the topic to the students. As a result, space technological knowledge and research have been limited to post-graduate and doctorate students. Undergraduate, college and school students do not get proper access to space-related knowledge. Moreover, nowadays small satellites are very popular for educational and research purposes as big satellites are costly and too complex for starters. For school and college students, it is very hard to understand the system and functions of satellites due to the limitation of space system knowledge. There are some satellite training kits in the market that can help the students to understand the systems and structure of a satellite. However, the few available satellite training kits are very much expensive. The demonstration of such a satellite training kit with a proper program can eradicate the limitation of the availability of space education and keep growing interest among the students about satellite technology. In this thesis project, a systematic architecture has been proposed that can provide the students with space systems engineering experience through demonstration, assembly, integration, and operation of a satellite training kit. The whole architecture has four parts - 1) Simulation, 2) Mechanical, 3) Electrical, and 4) Software. In this thesis, to prove our whole concept we will complete the mechanical and electrical simulations of the satellite training kit.

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14:50 KIT Bus: A Shuttle Model for CARLA Simulator Yusheng Xiang (Karlsruhe Institute of Technology, Germany) With the continuous development of science and technology, self-driving vehicles will surely change the nature of transportation and realize the automotive industry's transformation in the future. Compared with self-driving cars, self-driving buses are more efficient in carrying passengers and more environmentally friendly in terms of energy consumption. Therefore, it is speculated that in the future, self-driving buses will become more and more important. As a simulator for autonomous driving research, the CARLA simulator can help people accumulate experience in autonomous driving technology faster and safer. However, a shortcoming is that there is no modern bus model in the CARLA simulator. Consequently, people cannot simulate autonomous driving on buses or the scenarios interacting with buses. Therefore, we built a bus model in 3ds Max software and imported it into the CARLA to fill this gap. Our model, namely KIT bus, is proven to work in the CARLA by testing it with the autopilot simulation. The video demo is shown on our Youtube. 15:10 Circular Formation Maintenance Under Single Integrator Generalized Cyclic Pursuit Antoine Ansart and Jyh-Ching Juang (National Cheng Kung University, Taiwan) The paper considers the problem of maintaining the circular motion of a group of agents under Generalized Cyclic Pursuit (GCP) law, which exploits the property of imaginary-axis poles to achieve a sustainable cyclic movement. However, the system is not robust against model uncertainties. The objective of the paper is to present a method to sustain the motion of the group of agents under this law on a desired circle. Emphasis is placed upon the robustness of the system via an adaptive Line of Sight (L.o.S) angle, as well as formation preservation. 15:30 Investigation of ROS Based Environment Modelling and Mobile Robot Position Estimation With Dead Reckoning and Uncertainties Hamzah Ahmad, Ts. (University Malaysia Pahang & MBOT, Malaysia); Mohd Syakirin Ramli (Universiti Malaysia Pahang, Malaysia); Amir Shafie (International Islamic University Malaysia, Malaysia); Mohd Hezri Fazalul Rahiman (UiTM, Malaysia); Mohamad Heerwan Peeie (Universiti Malaysia Pahang, Malaysia) This paper aims to investigate Robot Operating System (ROS) based environment modelling and mobile robot position estimation considering dead reckoning and uncertainties. A mobile robot movement is analyzed in a few environment conditions by using Extended Kalman Filter with ROS to identify and examined the mobile robot estimation performance on its surroundings. The paper is organized mainly to describe the results from both simulation and experiment using Extended Kalman Filter that consists of undetermined and unpredictable environment states. For experimental verification, a Turtlebot3 equipped with a 360-degree LiDAR and IMU is being applied to demonstrate the performance of estimation in a situation that has unknown uncertainties in several conditions. Both simulation and experimental results have indeed consistent with the theoretical analysis proposed by preceding literatures and defines that the state covariance is converging to not lesser than the initial state covariance in any environmental cases. Besides, it is also found that the mobile robot heading angle is important to be accurate at all times for better estimation results. 15:50 An Automated System for Estimating GSM Value of Fabrics Using Beta Particle Absorption Characteristics Sanjana L Dias (Sri Lanka Institute of Information of Technology, Sri Lanka); Kekiriwara godage Dilana Sandaruwan (Royal Casks Distilleries (Pvt) Ltd, Sri Lanka); Shalitha Madhawa Jayasekara (The Open Univerisity of Sri Lanka, Sri Lanka) Grams per square meter (GSM) or Grammage is an ISO recommended term to express the mass per unit area of papers, metal sheets, plastic made products and fabric materials. GSM tests are mainly done in textile industry to measure GSM of knitted fabrics and to ensure other standard specifications of fabrics. Meanwhile, the manual GSM measuring procedure is preferred by most of the textile organizations, which leads to many disadvantages including fabric wastage. As an alternative solution for this industrial issue, an automated non-contact type fabric Grammage measuring method is proposed. This paper introduces mathematical models for determining GSM values based on beta particle absorption characteristics of three selected fabrics. Moreover, this study discusses a real-time GSM measuring system, which utilizes the generated mathematical models. Through this paper, developed mathematical models are investigated over goodness of fit parameters. Developed models are appropriate for GSM value estimation with R2 values over 0.99 and lower Root Mean Square Error (RMSE) Values. Error percentages obtained during validation of these mathematical models are less than 1% for all fabric types.

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16:10 Remote Probing Solution With Augmented Reality Angie See Tien Ng, Mohammad Saifullah Mohd Salman, Lau Tuck Sheng, Koay Xian Hong and Sze Lyn Chng (Intel Microelectronics Sdn Bhd, Malaysia) Remote Probing System (RPS) is an innovative touchless semi-automatic probing system which make use of IoT, Robotics and Augmented Reality (AR) that aim to provide virtually control movement of oscilloscope probes to obtain signal integrity and waveform measurement. This solution allows remote access to perform validation and integrity test on platform that lack on availability. One of main features is 3-axis probing, which is X-axis (left and right movement), Y-axis (front and back movement), and Z-axis (up and down movement). This system supports up to 15kg of board weight with double-sided probing features without tangling the wires. In addition, an AR layout viewer will be used to overlay every aspect of a design directly onto the platform. It supports electronic design automation which also known as electronics computer-aided design and integrates with unified components search engines.

A21: Power Electronics 2 8:30 Modified Five-Level Inverter for PV Energy System With Reduced Switch Count Ali Bughneda (Universiti Sains Malaysia, Malaysia); Mohamed Salem (Universiti Sains Malaysia (USM), Malaysia); Dahaman Ishak (Universiti Sains Malaysia, Malaysia); Salah Alatai (Universiti Sains Malaysia, Malaysia & Bani Waleed University, Libya); Mohamad Kamarol Mohd Jamil (Universiti Sains Malaysia, Malaysia); Khlid Ben Hamad (Cape Peninsula University of Technology, South Africa) Many power conversion technologies are based on multilevel inverters (MLIs). Due to their significant features of power conversion and regulation, they have been such a good choice to be utilized in renewable energy sources (RESs) integration, and grid-connected energy systems. The current attention on MLIs is mainly concerned to provide new methods or constructions by reducing the number of power switch counts and DC supplies to achieve efficient power and fault tolerance. Hence, this work is focused on the development of a modified 5-level CHB inverter with fewer switches (6 switches) and its combination with 2 PV arrays sources to achieve a 5-level voltage waveform with low harmonic distortion (HD). The modes of operation of the circuit configuration for the suggested inverter were also presented. The proposed configuration in this study achieved better output waveform quality with significant reduction in device counts and HD compared to the general structure of cascaded H-bridge MLI. Matlab/Simulink was used to simulate the suggested system. As a result, the system proved its validity to offer 849.7 V output with 97.6 % efficiency, and significant reduction of the total harmonics distortion to 1.96 %. 8:50 Cascaded Multi-Level Inverter for Battery Charging-Discharging Using Buck-Boost Switch Salah Alatai (Universiti Sains Malaysia, Malaysia & Bani Waleed University, Libya); Mohamed Salem (Universiti Sains Malaysia (USM), Malaysia); Dahaman Ishak, Ali Bughneda and Mohamad Kamarol Mohd Jamil (Universiti Sains Malaysia, Malaysia); Doudou N. Luta (University of Technology Cape Town, South Africa) This work suggests a five-level cascaded bi-directional converter for battery charger application. The proposed converter is presented in both Buck and Boost approaches. The proposed converter operates at 50-kHz linked with isolated high frequency and loaded by a battery via Buck/Boost switch. The five-level scheme applied the phase disposition system to generate the PWM signal. Besides, this converter can be widely utilized in high-power and medium-voltage applications. The proposed converter simulated in MATLAB/SIMULINK and selected results were adopted to prove the system validity. As a result, the state of charge SOC is decreasing and increasing in charging and discharging mode, respectively. The controller was designed to automatically detect the required mode of operation, buck, or boost, based on the sign of Iref. In general, the behavior of the simulated system results is in agreement with the theoretical part. 9:10 Small Signal Model of the Three-Phase AC-DC Current Injection Hybrid Resonant Converter Rahimi Baharom and Khairul Safuan Muhammad (Universiti Teknologi MARA, Malaysia) This paper describes the derivation of a small-signal model for the three-phase ac-dc Current Injection Hybrid Resonant Converter (CIHRC). This derivation was required to form the basis for the design of the closed-loop controller in order to regulate the output dc voltage. The analysis of a small-signal model for the CIHRC was done by considering that the converter would involve two stages; the line-frequency rectifier, and the high-frequency resonant circuit. The analysis of line-frequency of the three-phase Pulse Width Modulation (PWM) ac-dc converter was based on the standard PWM method. The resulting circuit equations that were expressed in state-space form were then averaged to remove the ripple. After that, the direct and quadrature (d-q) transformation method was adopted to eliminate the time variance in the equations. In order to model the high-frequency resonant stage,

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fundamental frequency methods were adopted. To match the line frequency equations of the three-phase PWM ac-dc converter with the high-frequency resonant stage equations, the power balanced relations for the dc-link methods were employed. Then, by considering the small perturbations in all the variables, the resulting non-linear model was linearized. The developed small-signal model showed a good basis for the design of an output voltage controller for the converter since the output voltage transient was accurately predicted. The validation of the small-signal model was done through the MATLAB/Simulink simulation model. 9:30 Simplified Power Estimation Feedforward to Reduce DC-Link Capacitance in Single-Phase Dual-Stage Full-Bridge Microinverter Pokkrong Vongkoon and Pisit Liutanakul (King Mongkut's University of Technology North Bangkok, Thailand) To enhance the reliability and lifetime of a single-phase dual-stage full-bridge microinverter, the film capacitor may be preferably used instead of a DC-link electrolytic capacitor. However, concern to hold the DC-link voltage during transients, this expectation needs an input current sensor for conventional feedforward power balance compensation in the voltage control loop, increasing whole system cost. Moreover, the inherent double-line frequency of single-phase AC instantaneous power still appears on the DC-link voltage that is the adverse cause of grid-injected third-order harmonic current of the inverter. For overcoming all the obstacles described above, without any use of an input current sensor, this paper proposes a modified notch filter to function with an input DC power estimation feedforward for the voltage control loop. Consequently, using the film capacitor can be used without any system performance reduction, which can reduce system cost. The simulation results show that the proposed power estimation feedforward can cope with a dip of DC-link voltage, while the good quality of grid-injected current is not significantly different from using the conventional feedforward. 9:50 Cell Open Circuit Fault Diagnostic for Series-Parallel Connected Li-Ion Battery Pack Shiyao Zhou and Ziqiang Chen (Shanghai Jiao Tong University, China); Jianyu Lan (Shanghai Institute of Space Power Sources, China); Mengxue Dong (Shanghai Institute of Space Power-sources, China) Fault diagnosis has great significances for reducing the failures and improving the reliability of Li-ion battery systems. However, there are few researches on cell open circuit (COC) fault diagnostic for the series-parallel connected battery pack before. In this study, a voltage correlation coefficient-based method and a dual extended Kalman filter (DEKF) are proposed to detect the COC fault. Then, performances of these two methods are compared by taking several COC fault simulation experiment. Experiments with a 4S-3P battery pack under different operating conditions are used to verify two proposed diagnostic approaches. The experimental results demonstrate that the voltage correlation coefficient-based method with the merit of lower misdiagnosis rate, shorter diagnoses delay and low computational cost is more suitable for COC fault detection than DEKF-based method. 10:10 An Online State of Health Estimation Method for Lithium-Ion Battery Based on ICA and TPA-LSTM Xian Cui (Shanghai Jiaotong Univetsity, China); Ziqiang Chen (Shanghai Jiao Tong University, China); Jianyu Lan (Shanghai Institute of Space Power Sources, China); Mengxue Dong (Shanghai Institute of Space Power-sources, China) Health management of lithium battery is one of the core functions of Battery Management System (BMS). In order to improve the estimation accuracy of existing SOH estimation method, an online SOH estimation framework based on incremental capacity analysis (ICA) and Time Pattern Attention Mechanism Long Short-Term Memory (TPA-LSTM) network is proposed. Firstly, the aging experiment of lithium battery is carried out, and the smooth IC curve is drawn through voltage local reconstruction and Gaussian Filtering method. Then, a series of IC values within specific voltage range are regarded as health indicator sequences (HIs). The effectiveness of all health indicators is proved by grey relation analysis. Finally, TPA-LSTM network is built to receive HIs and output SOH to realize the numerical mapping from HIs to SOH. The simulation results based on NASA lithium-ion battery aging dataset show that the proposed method has a mean absolute error of less than 0.7%, and the mean absolute error of Hardware-In-the-Loop test results is less than 0.2%.

B21: Electrical Machines and Drives 8:30 Integration on VVVF Drive System for Induction Motor Speed Control With Look Up Table Shamsul Zulkifli (Universiti Tun Hussein Onn Malaysia, Malaysia) This project describes the development of a Variable Voltage Variable Frequency (VVVF) system that control the speed of Induction Motor (IM).The target value of VVVF is implemented with the Lookup Table and with the

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Proportional Integral (PI) for speed control. The LookUp Table give the speed input to be independent control. Both simulation and hardware implementation have been conducted in order to observed the integration between them for generating a suitbale PWM signal to inverter. The results, show, this integration is able to control the IM speed based on the desired target value. Several tests speed at the IM during the reference are 1300rpm and 1500rpm where the real outputs are 1297rpm and 1499rpm. At the end it can be concluded that, the VVVF when combined with the lookup table has created an ecosystem for simple speed control that can be learn and understand by the student. 8:50 Rotor Position Estimation of PMSM With Noise Suppression Using Steady-State Linear Kalman Filter and High Frequency Square Wave Injection Jingbin Sun (Nanjing University of Aeronautics and Astronautics,China); Feng Ju, Qinghao Wang, Yan Hong, Bai Chen and Hongtao Wu (Nanjing University of Aeronautics and Astronautics, China); Guoxiang Hu (Jiangsu Hengli Hydraulic Co., Ltd, China) In this paper, a new square wave injection sensorless control algorithm based on steady-state linear Kalman filter (SSLKF) is proposed for standstill and low-speed operation of permanent magnet synchronous motors (PMSM). Usually, in the square wave injection method, phase-locked loop (PLL) is used to extract the rotor position and speed information from the excited current. However, due to the measurement noise in the current signal, there will be large errors in the estimated speed and position values, which will affect the system performance. Compared with traditional methods, the proposed algorithm is more robust to noise and has higher estimation accuracy even under very high noise. In addition, an additional acceleration feedforward term is introduced into the SSLKF, which improves the response speed of the system. The performance of the proposed algorithm is evaluated in simulations. The root mean square error (RMSE) of velocity estimation is reduced from 180 RPM to 30 RPM, and RMSE of position estimation is reduced from 10⁰ to 5⁰. 9:10 Synchronous Reluctance Motor Drive System Fed From Three-Phase Matrix Converter Kotb B. Tawfiq and Ahmed Selema (Ghent University, Belgium); Mohamed Nabil (UGent, Belgium); Peter Sergeant (Ghent University, Belgium) This article introduces three-phase synchronous reluctance motor (SynRM) drive system based on matrix converter. A SynRM is selected in this drive system due to its higher efficiency and better cooling compared to induction machines. In this drive system, matrix converter is used to control SynRM as there is no big DC link capacitor in this converter as in the traditional rectifier inverter. This reduces the repetitive maintenance of the drive system. Moreover, the AC input voltage is directly converted to the output side with the required amplitude and the required frequency without any reactive element. A wide range of the output frequency could be obtained with this converter. Indirect space vector modulation is implemented to control the converter switches with field-oriented control technique. The performance of the drive system is studied at different operating condition either in torque control mode and in speed control mode. 9:30 Thermal Parametric Sensitivity Analysis of an IPMSM With Multi Three-Phase Sector Windings Topology Under Normal, Partial and Partial Overload Operating Conditions Sayyed Haleem Shah, Xiaoyuan Wang, Usman Abubakar and Sadiq Ur Rehman (Tianjin University, China) Electrical machines designed with multiple three-phase winding sets are widely proposed for high current and high power applications. Moreover, they are considered the preferred choice for fault-tolerant applications due to their redundant structure enabling the machine to work under partial operating conditions. However, under partial operating conditions, when a single or multiple three-phase winding sets are disconnected, the normal operating behavior of the machine is degraded, enabling the machine to work with a reduced level of efficiency. Under this condition, the machine's healthy three-phase winding sets can be overloaded to keep the machine operating with the same torque level as under the healthy condition with an increased risk of three-phase winding sets insulation failure, which may ultimately result in reducing the machine life span, reliability or even result in the machine's thermal failure. This paper presents the thermal analysis for a multi three-phase sector winding machine having a water-jacket cooling system. A coupled electromagnetic-thermal analysis is presented by first investigating the machine's electromagnetic performance and then coupling it to the thermal model (Lumped parameter thermal network) for accurate temperature prediction. Furthermore, a parametric sensitivity analysis is presented under three-phase winding sets normal, partial and partial overload conditions. The different thermal design variables for the parametric sensitivity analysis are carefully chosen, and the thermal behavior of the prototype machine is fully investigated. The detailed parametric sensitivity analysis leads to an optimized design

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model of the prototype machine with improved thermal behavior, particularly under partial overload operating conditions. 9:50 Effects of Inductance Error on Position Sensorless Control of Synchronous Reluctance Motor at Low Speeds Using High-Frequency Current Controller Tatsuki Hayashi, Koki Kataoka and Mutuwo Tomita (National Institute of Technology, Gifu College, Japan); Masaru Hasegawa (Chubu University, Japan); Shinji Doki (Nagoya University, Japan) Synchronous reluctance motors (SynRMs) have attracted attention for various applications because they have no magnets and rotor windings. Thus, various methods for rotor position sensorless control of SynRMs at low speeds have been proposed. Similarly, we previously introduced a method for rotor position sensorless control of SynRMs at very low speeds. The proposed control method superimposes a high-frequency current with a small constant amplitude using a high-frequency current control system. The q-axis inductance of the SynRM considerably changes according to the load. In this paper, we show that the rotor position estimation error converges even under a large error between the predefined and real settings of the q-axis inductance of the SynRM model for position estimation when using the proposed method. Experimental results confirm that the proposed method achieves robust rotor position sensorless control against q-axis inductance variations even at very low speeds. 10:10 Parametric Thermal Sensitivity Analysis of 225kW High-Speed PMSM for Blower Application Usman Abubakar, Xiaoyuan Wang, Sayyed Haleem Shah and Sadiq Ur Rehman (Tianjin University, China) Temperature rises when a high-speed permanent magnet synchronous machine (HSPMSM) operates at full load conditions. The most temperature-sensitive part is the winding insulation that can affect the machine's lifespan and reliability. Thus, winding thermal optimization is essential. In this paper, the 225kW 34500 rpm PMSM with TEFCAVS has been taken as an example to be used in blower applications. Firstly, the fast estimation for the distribution of airflow and temperature by LPTN is predicted for the machine under full load conditions; then machine's hotspot temperature was identified. Secondly, parametric thermal sensitivity is conducted by design optimization Simulink's toolbox considering critical- parameters of totally enclosed fan cooled axial ventilation (TEFCAVS). The parameters with a remarkable influence on winding maximum temperatures, such as slot's linear thermal conductivity, lamination to housing interface contact, and air gap heat transfer, are chosen as a thermal design variable. The best variable can be obtained regarding the magnitude of influence and trend on mitigating maximum winding temperature. An investigation shows that the maximum winding temperature is mitigated significantly by the determined optimal thermal parameters. Finally, the 225kW HSPMSM is prototyped and tested with optimal thermal parameters; the winding temperature test results are then correlated with estimated results to validate the optimized thermal design.

A22: Power Electronics 3 10:30 Wireless Power Transfer System for Long-Term Sensor on Rotating Plane Tao Li (Harbin Institute of Technology, China); Xiyou Chen (Dalian University of Technology, China); Zhengying Lang (State Grid Dalian Electric Power Supply Company, China); Xin Jin and Chen Qi (Dalian University of Technology, China); Yijie Wang (Harbin Institute of Technology, China) This paper presents a wireless power transfer system (WPT) for long-term sensor rotating around an axis on a plane. The system is suitable for powering long-term sensor and does not need to replace the battery periodically. By designing a new type of magnetic coupler, the coupling coefficient between the receiving coil and the transmitting coil can be maintained in a certain range. On the transmitting side, six planar spiral coils are evenly distributed in a circular array, so that the magnetic field on the path of the sensor is always strong. On the receiving side, two planar spiral coils are partially overlapped. The magnetic field generated by the magnetic coupler is analyzed theoretically and simulated by finite element method. The experimental results verify that the WPT system can continuously supply power for 5W load during rotation. 10:50 Modeling and Analysis of Single-Wire Power Transfer System Using Distributed Parameter Resonant Coil Tao Li (Harbin Institute of Technology, China); Xiyou Chen (Dalian University of Technology, China); Zhengying Lang (State Grid Dalian Electric Power Supply Company, China); Xin Jin and Chen Qi (Dalian University of Technology, China); Yijie Wang (Harbin Institute of Technology, China) This paper proposes a single-wire power transfer (SWPT) system using distributed parameter resonant coil. An accurate equivalent circuit is proposed by establishing the distributed parameter circuit model of the single-layer air-core solenoid coils and the single wire. The vector and amplitude distribution of spatial electric field are

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depicted from simulation results. Experimental results of a prototype SWPT system are presented at different distances. The system can transfer 350W with 60% efficiency at 30m, and transfer 300W with 42% efficiency at 70m. 11:10 Estimating the Internal Resistance of Li-Ion Battery With Joule's Law to Find the Open Circuit Voltage Venkata Nagarjun PM, Hirshik Ram S, Pratik Uthan and Veeramani V (National Institute of Technology Tiruchirappalli, India); Senthil S (National Institute of Technology, Trichy, India) This paper explores the electrical equivalent model of a Li-Ion battery and its resistance estimation. The energy loss in the battery in one cycle of charging and discharging is used to calculate the internal resistance of the battery by application of Joule's Law of Heating. The potential drop across the resistance thus obtained is compounded with the measured terminal voltage to predict the OCV of the battery. The tabulated OCV and SOC values are fed into a Deep Neural Network model in MATLAB/Simulink to establish a relationship between the SOC and OCV. Further a Simulink model was developed to verify the accuracy of the Neural Network. The results obtained through the simulation closely follow the estimated OCV values. 11:30 Power Controller Effects for Mitigating Harmonics in a Three Phase Grid-Connected Inverter Fauzan Ismail (University of Malaya); Jafferi Jamaludin (University of Malaya, Malaysia); Nasrudin Abdul Rahim (University Malaya, Malaysia) Proportional active and reactive power delivered into the grid systems is capable to enhance power quality and harmonic mitigation. It is a promising solution for Distributed Generations (DG) for grid power compensation. Conventional Current Control Mode (CCM) strategy has a limitation to achieve grid power compensation with various load changes. While Voltage Control Mode (VCM) may regulate voltage and current based on the dq-component of current and voltage, both strategies show poor performance to generate the proportional active and reactive current when they are applied to the DG systems. Considering this problem, this paper proposes Power Control Mode (PCM) strategy in combination with CCM and VCM to improve the performance of the DG systems, by compensating for the distorted grid current and improving power quality. In this strategy, by using dynamic active and reactive power injection, harmonic mitigation can be enhanced. In order to verify the effectiveness of the proposed strategy, this paper presents the results of simulation work and comparative analysis against other strategies. 11:50 Response of a Bidirectional EV Charger to Selected Grid Disturbances Haque Md Mejbaul and Laura Jones (Australian National University, Australia); Bjorn Sturmberg (The Australian National University, Australia) A bidirectional charger is a four quadrant converter. It is a vital element that facilitates the energy exchange between electric vehicle (EV) batteries and the electricity grid. As EVs proliferate throughout distribution grids over the coming years, understanding the performance of different EV chargers is important especially during grid disturbances. In this paper, we demonstrate grid disturbances such as voltage sags and frequency variations using a grid simulator. These grid disturbances are applied to an off-the-shelf EV charger. Experimental results show that the operation of the EV charger is greatly affected by the grid disturbances. In some cases, the charger disconnects from the grid, disrupting grid services delivery. 12:10 Comparison of Image Restoration Using Median, Wiener, and Gaussian Filtering Techniques Based on Electrical Tree Cik Siti Khadijah Abdulah (Universiti Malaysia Perlis, Malaysia) Electrical treeing lead to a major cause of a breakdown in solid insulation. Thus reduced solid insulation performance by degrading the insulation. Hence, it is important to study the electrical treeing and learn the root cause of the treeing formation. In this paper, the performances of median, wiener, and gaussian filters in restoring noisy images are studied based on electrical tree images. The electrical tree colour images is being transform into grayscale images, noisy images using impulse noise (salt and pepper), and finally motion blur are applied. Even thought, there are several number of filters available, this paper focus on median, wiener, gaussian, and combination of the filters. In the end, comparison between these filters is made to study the efficiency using PSNR, SNR, and MSE in graph form.

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B22: Sensors, Actuators and Micro-Nanotechnology/Renewable Energy/Power Systems and Smart Grids 10:30 Non-Destructive Evaluation of Flexible Sachet Seal Integrity Using a Capacitive Proximity Sensor Hari Krishna Salila Vijayalal Mohan, Choon Hong Toh and Andrew Alexander Malcolm (Advanced Remanufacturing and Technology Centre (ARTC), Singapore) Flexible retort pouches or sachets are extensively used to package contents on a large scale in food and beverage fast-moving consumer goods (FMCG) industries. High-speed sealing of such packages causes poor sealing (e.g. air leaks) and/or trapped contents (e.g. powder, liquid, etc.), which affects product containment. Presently, seal integrity testing is performed using offline, slow, expensive and invasive methods (e.g. leak test). Herein, a capacitive proximity sensor is used for sachet seal integrity testing to detect powder trapped in seals based on the differences in the dielectric properties of the seal and the trapped powder in the capacitive field. The sensor showed a fast response (100 ms) and a low detection limit (~9.09 mg) for detection of powder trapped in seals, which is suitable for high throughput inline seal inspection. 10:50 Stream Sediment Rate Estimation Using Optical Sensing Uthpala Premarathne (The Open University of Sri Lanka, Sri Lanka); Kasun sameera saranga Bamunusingha Arachchige (OUSL, Australia) Sediments carried by the rivers cause capacity reduction in reservoirs which impacts the hydro-power generation, effective irrigation management for communities and agricultural sectors. Cost effective measurement tools for accurate prediction of the sedimentation rate is vital in our country. This paper describes the development of an optical sensing based sedimentation rate estimation mechanism. Correlation between Total Suspended Solid (TSS) and turbidity (NTU) is developed during sensor calibration stage. Empirical data samples (from the Uma oya limb to Rantambe reservoir in Sri Lanka) were collected over a period of 25 days and used for calibration. Under laboratory conditions, the results from the linear regression analysis revealed that the relationship of the Turbidity and the TSS is 1NTU is equal to 1.5 mg/l. The ISO 7027 Turbidity Technique method was used to determine the concentration of suspended particles in water samples and tested using the optical sensing mechanism. Correlation between turbidity and sensor value was developed and the quantity of sediment in mg/s was determined. Using the optical sensing mechanism, the results evidenced reasonably accurate for short term sediment rate estimation. 11:10 Analysis of Frequency Spectral Features of Coughing Activity From Tri-Axial Accelerometer Sensor at Multiple Body Points Kruthi Doddabasappla and Rushi Vyas (University of Calgary, Canada) Human activity recognition (HAR) using sensors has wider applications such as daily activity and health monitoring, robotics, security purpose, monitoring human beings in the workplace, and others. Activities such as sitting, standing, walking, walking upstairs, and walking downstairs are commonly classified. Cough event detection and counting have always been the most important research topic in the medical field. We aim to study the non-cough and cough activity in human beings at five body positions of varying heights subjects. Previous studies have shown that cough during walking can be accurately detected with 92, 73, 62 and 82% accuracy at the chest, stomach, shirt pocket and upper hand respectively from raw acceleration signals in the time domain. We analyzed the frequency domain characteristics, the Spectral Maximum (SM) and Spectral Summation (SS) at four frequency bands in the 0-20 Hz range for the accelerometer axis: x, y, and z. Our study reveals 24 - 142 % increase along the Y-axis and 14 - 146 % increase along the Z-axis in SS of cough signal compared to a non-cough signal at the five-position considered in our study. Evaluation of the 3D plot of spectral features shows the clear difference of a cough signal from a non-cough. 11:30 Image Segmentation-Based Event Detection for Non-Intrusive Load Monitoring Using Gramian Angular Summation Field Shafiqur Rahman Tito (Manukau Institute of Technology, New Zealand); Attique Ur Rehman (Horizon Energy Group, New Zealand); Youngyoon Kim, Pieter Nieuwoudt, Saad Aslam and Snjezana Soltic (Manukau Institute of Technology, New Zealand); Tek Tjing Lie (Auckland University of Technology, New Zealand); Neel Pandey and M. Daud Ahmed (Manukau Institute of Technology, New Zealand) A Non-intrusive Load Monitoring (NILM) approach extracts operation time of individual appliances from an aggregated load measured at a single entry-point using their energy consumption characteristics. Event detection represents an important step for load segregation where state change on aggregated load and duration are obtained. This paper proposes two event detection algorithms using image segmentation based on two diverse methodologies namely, k-means clustering and thresholding technique. The proposed algorithm is applied to an

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image generated by encoded Gramian Angular Summation Field of time series data. The method is simple to implement and efficient in computation. The proposed approach is tested and validated using real-world load measurements: Almanac of Minutely Power dataset, and for said purposes comprehensive simulation studies have been carried out on a low-cost Raspberry Pi 3B+ platform. The corresponding results are promising in terms of event detection and indicate that the proposed approach has a strong potential towards more robust and accurate event-based NILM systems. 11:50 A Simulation Model and New Speed Control Method of Switched Reluctance Generator for Wind-Generator Systems Hai-Jiao Guo (Tohoku-gakuin University, Japan); Jinya Yoshida (Tohoku-Gakuin University, Japan); Ishihara Tadashi (Fukushima University, Japan) This paper proposes a simple simulation model of switched reluctance motors as well as a new speed control method of SRGs suitable for wind power generation systems. The proposed simple SRG simulation model not only to confirm its effectiveness, as well as can be widely used in other studies using SRGs. The proposed new speed control method not only control the speed of SRGs but also considering the power generation. 12:10 Reliability Evaluation and Cost Analysis for Optimized Large Scale Solar PV System Mohamed Nageh and Md Pauzi Abdullah (Universiti Teknologi Malaysia, Malaysia) Photovoltaic (PV) solar system has developed significantly from an independent energy system to a large scale on-grid energy system in recent years. The energy output is affected by the system's reliability and energy output performance including and also its various internal components. This study aims to determine the optimum number of series modules, parallel strings, central inverters and combiner boxes of a 1-MW large scale solar (LSS) system. Also, this paper evaluates the system's reliability for different inverters configurations based on three solar PV systems i) fixed-tilt angle, ii) one-axis tracker and iii) two-axis tracker systems. The system's reliability is evaluated by using Fault Tree Analysis (FTA). Furthermore, this paper e-performs cost analysis of the LSS system in terms of Levelised Cost of Energy (LCOE). The results showed that, single/dual axis PV system is preferred against fixed tilt angle system as it gives lower LCOE. However, single/dual axis PV system reduces the system's reliability especially when more central inverters are used for the system.

A23: Power Electronics 4 14:30 Control of N-Connected Current-Programmed Independent-Input Series-Output Boost DC-DC Converters M. R. D. Al-Mothafar (JUST, Jordan) This work is concerned with the closed-loop control of a modular current-programmed independent-input series-output (IISO) boost dc-dc converter operating in the continuous conduction mode. Each module is supplied from an independent power source and has its own current and voltage feedback loops. A Matlab/Simulink-based averaged small-signal model is developed to study the module control-to-output voltage frequency responses with current loops closed and voltage loops open. Based on these responses the model is updated with a type-2 compensated error amplifier in the voltage loop of each module. The compensator is designed for the maximum number of modules to ensure system stability when lower number of modules is used. Closed-loop responses due to step changes in load current and module input voltage show equal load-voltage sharing among the modules. All model predictions are validated using cycle-by-cycle simulations. 14:50 Open Circuit Fault Tolerant Bridgeless Cuk Rectifier With Fault Detection Technique Khairul Safuan Muhammad, Muhamad Syahmi Hakim Mohd Izani and Rahimi Baharom (Universiti Teknologi MARA, Malaysia) This paper proposed a new topology of Cuk rectifier with open circuit fault detection technique whereas the proposed converter is based on a H-bridge rectifier configuration. The circuit possesses redundancy feature such that only two out of four switches were required to operate and ensure that the continuity of the rectifier operation with power factor correction (PFC). The proposed rectifier has four options to operate. Hence, to switch in between options when there is open circuit fault, the rectifier operates in closed loop, where the controller of the circuit monitors the output of rectifier. Thus, the controller is proposed to switch to different mode depending on the fault. A new technique to identify the exact location of faulty switch based on the rectifier is proposed. The faulty switch is detected by analyzing the voltage of charging capacitor, the current options, and the cycle of input power supply. With this, continuous voltage and current can be ensure. The analysis of open circuit fault tolerant Cuk rectifier and it fault detection is done by using MATLAB simulation software.

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15:10 Fault-Tolerant Single-Phase AC-DC Boost Matrix Converter Khairul Safuan Muhammad, Muhammad Hafiz Saniman and Rahimi Baharom (Universiti Teknologi MARA, Malaysia) In this paper, a fault-tolerant single-phase AC to DC boost matrix converter is proposed. The proposed converter is based on a Single-Phase Matrix Converter (SPMC) configuration. The combination of four power switches creates multiple alternative current routes to maintain a continuous output power supply. The operation of the converter is analysed in detail by assessing all possibility of open circuit fault occurrence in SPMC across the switches. A PWM generator controlled by a set of codes along with a combination of logic gates are used to produce a steady output voltage, Vo. A simulation is designed by using MATLAB/Simulink to study the performance of the converter. The proposed converter has been tested and able to detect the Open Circuit Fault (OCF) within one cycle and recover within five to six cycles. Four different routes can be enabled to overcome OCF while maintaining a consistent Vo. 15:30 The Improvement of 5kV-Output Boost Converter Using Interleaving Method Nor Zaihar Yahaya and Adlina Filza Mohamed Azlan (Universiti Teknologi PETRONAS, Malaysia) Recently, the development of DC long transmission line has been reconsidered as it emits less power loss as compared to AC power transmission line. The reason is because, the implementation of non-isolated converter in the system could omit the uses of transformer that contributes to the conversion loss. Besides, interleaving method is incorporated in the converter as a very high DC voltage is needed to be transmitted along the DC long transmission line. By applying such method, the output voltage ripple and output current ripple can be reduced. In this paper, modelling and simulating is done in MATLAB/Simulink for both interleaved and conventional boost converter with same switching frequency at 50 kHz. The results and analysis of both converters are based on Continuous Current Mode (CCM). The improvement of boost converter by using interleaving method can get a better voltage gain, reduced output voltage ripple as well as reduced output current ripple. 15:50 Implementation of Three-Phase Bidirectional Isolated DC-DC Converter With Improved Light-Load Efficiency Nuraina Syahira Mohd Sharifuddin, Nadia Tan and Chuen Ling Toh (Universiti Tenaga Nasional, Malaysia); Ahmad Ramli (Universiti Tenga Nasional, Malaysia) Phase-Shift Modulation (PSM) strategy had been widely used in Three-Phase Bidirectional Isolated DC-DC Converter (3P-BIDC). Nevertheless, this conventional high frequency PSM method is more suitable for medium and rated load application. In light-load conditions (0-0.3 p.u.), the power efficiency may drop to less than 65%. Thus, this paper proposes an enhanced switching strategy by introducing a low frequency burst-mode signal to control the number of active PSM cycle over one burst cycle. A 150-V, 1.5-kW, 3P-BIDC prototype is developed for laboratory testing. This prototype is first evaluated with the conventional PSM strategy for wide range of loads. Then the proposed method is applied for light-load condition evaluation. The experimental results prove that an average of 90% power efficiency could be achieved under light load condition. 16:10 AC/DC Fault-Ride-Through Control for Single-Phase PV Inverter Muhammad Talha (University of Malaya & UM Power Energy Dedicated Advanced Center (UMPEDAC), HiCOE, Malaysia); Siti Rohani Sheikh Raihan (Universiti Malaya, Malaysia); Nasrudin Abdul Rahim (University Malaya, Malaysia) Single-phase low-power PV generators will be a dominant contributor to electricity in microgrids. However, PV inverters are susceptible to input and output disturbances. On the one hand, the inverters disconnect entirely for a few minutes during grid sags. On the other hand, the inverter's power output drops during low solar insolence, leading to grid voltage flickers. Moreover, the conventional low voltage ride-through (LVRT) solutions can only handle fixed intensity sags, while the real grid environment may have milder to severer sags. This paper aims to present an LVRT strategy to handle all kinds of sags and compensate for rapid solar intermittencies while ensuring maximum power point tracking (MPPT) operation. A small energy storage buffer is coupled to the inverter's DC-link to compensate for AC and DC disturbances. During sags, the excess energy in the inverter's DC-link is absorbed by the buffer. In contrast, the buffer provides the deficit energy to maintain the constant power output in solar intermittencies. Experimental results show that the inverter can sustain variable intensity sags and compensate for rapid solar intermittencies. Moreover, the inverter always ensures MPPT operation and also provides reactive power during sags.

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B23: Control Systems, Robotics and Mechatronics/Electrical Machines and Drives/Cloud Computing, Big Data and Software Engineering

14:30 Analysis of Trajectory Tracking Control Algorithms for Wheeled Mobile Robots Najva Hassan (Government Engineering College, Thrissur, Kerala, India); Abdul Saleem (Government Engineering College, Thrissur, Kerala & A P J Abdul Kalam Technological University, India) Trajectory tracking is a key component of autonomous robot navigation. Trajectory tracking control algorithms control the robots effectively to track the desired trajectory that is predetermined by the trajectory planning module. Since the control performance changes significantly depending on the scenarios, choosing an appropriate controller is a non-trivial task. A simulation study of trajectory tracking controllers for non-holonomic mobile robots is presented in this work. All the control algorithms are simulated and compared on a two wheeled differential drive mobile robot. The control algorithms are implemented on MATLAB/SIMULINK 2020a and the performance of control algorithms are evaluated by tracking circular trajectory as the reference trajectory. 14:50 Trajectory Tracking Control of a Field Inspection Quadrotor UAV Considering Battery Consumption Jimmy Smith (University of Dayton, USA) The invention and execution of a trajectory tracking control approach that minimizes the energy consumption of a battery-powered quadrotor UAV are presented in this study. A power model for a maneuvering quadrotor UAV is developed, reducing the power consumption reduction challenge to a motion angle restriction problem. For a quadrotor UAV model, a bounded uncertainty and disturbance estimator control framework is created, which can successfully track a trajectory while simultaneously restricting the roll and pitch angles to a prescribed power saving range. Experiments are presented to demonstrate the usefulness of the suggested method in a wind turbine inspection scenario, as well as the energy consumption reduction performance when compared to a typical controller. 15:10 Assistive Hand Device Using Silicone Actuators Chitra Venugopal (Oregon Institute of Technology, USA) Stroke is a leading cause of hand disability in adults worldwide. This happens because of the abnormal increase in muscle tension in addition to the inability of the brain to acquire necessary motor skills for hand movements. The proposed Assisted Hand Device aids in grip and release of an object with the hand directly affected by the stroke, other injuries and age-related disabilities. This device is also capable of providing exercise therapies to users by providing robotic rehabilitation solutions to users struggling to regain the use of their hands. The Assisted Hand Device is designed as a silicone or soft rubber glove. The design comes with user friendly mode selection buttons to perform grip and release of the objects, and therapeutic functions, using one finger or two-finger operations. The raspberry pi acts as the brain of the entire control system transmitting the sensor/push-button switch signals to the actuators. The silicone actuators were selected by testing the material strength at different pressure levels. The system was designed and tested successfully with different sizes of objects using one, two, and four-finger operations. The thumb operation is not included in this design but to be considered as a future development of the project. 15:30 Analysis of the Radial Component of Electromagnetic Force Density and Vibration Behavior of an IPMSM With Multiple Three-Phase Winding Units Sayyed Haleem Shah, Xiaoyuan Wang and Usman Abubakar (Tianjin University, China); Peng Gao (Tianjin University,China, China) The unbalanced distribution of electromagnetic force density inside an electric machine's air gap is one of the leading causes of electromagnetic vibration along with associated noise. Many factors influence the unbalanced distribution of electromagnetic forces inside the machine air gap; however, this study focuses on the influence of armature reaction on the electromagnetic forces and the vibration and noise behaviour of an interior permanent magnet synchronous machine (IPMSM) having multiple three-phase sector winding units. Complete multi-physics model analysis is presented by investigating the distribution of the magnetic field density components generated due to the interactions between the magnetomotive force (MMF) generated by each independent three-phase winding unit, along with the radial force density components, and their impact on the overall vibration and noise of the prototype machine. Static 2-D Finite element analysis (FEA) using the frozen permeability technique with 2-D Fast Fourier Transform is used to analyze the magnetic flux density and the radial component of the electromagnetic force density distribution of the prototype machine under healthy and open-circuit fault conditions. Moreover, mechanical FEA is conducted using the multi-physics model technique to find the harmonic

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mode shapes of the prototype machine under different operating conditions to investigate the machine vibration behavior, which is finally verified by experimental tests. The findings of the high reliability systematic multi-physics analysis and the experimental results present useful information to understand the vibration behaviour of the prototype machine with multiple three-phase units. 15:50 Numerical Analysis of Brushless DC Motor for Indoor High Volume Low Speed Fan Saharudin Kamaroszaman (Universiti Teknikal Malaysia Melaka, Malaysia); Raja Nor Firdaus Kashfi Raja Othman (Universiti Teknikal Malaysia Melaka & Universiti of Putra Malaysia, Malaysia); Kasrul Abdul Karim (Universiti Teknikal Malaysia Melaka, Malaysia); Suhairi Rizuan Che Ahmad (Universiti Kuala Lumpur-British Malaysia Institute, Malaysia); K. Tashiro (Shinshu University, Japan); Zulkufli Zakaria (Suria Giant Fan Services Sdn Bhd, Malaysia) This research paper is about the numerical analysis of Brushless DC (BLDC) motor for indoor High Volume Low Speed (HVLS) fan. Increasing demand in energy-saving has boost up HVLS fan usage in the small and mid-sized indoor areas. However, the bulky size motor design has limited the fan capability. Usually, this problem can be resolved using high torque density motor solution and the outer rotor BLDC motor is one of the candidates. Therefore, the objective of this research paper is to perform numerical analysis for Outer Rotor BLDC (ORBLDC) motor. The Finite Element Method (FEM) is used to determine the Stator Teeth Width (Wstat) and configuration between Magnet Height (Hmag) and Stack Length (Lstack) via electromagnetic analysis approach. As a result, the combination of 19 mm Wstat, 14 mm Hmag and 30 mm Lstack produces the desired performance. In conclusion, this paper presents the simulation in designing the motor and its performance. The simulation approach allows for low cost risk assessment and provides an opportunity for the motor designer to produce the best configuration model before fabrication. 16:10 Low-Cost Queuing Management System for Health Clinic Syed Farid Syed Adnan (Universiti Teknologi MARA, Malaysia) Queuing is a mechanism where one must wait in line to be handled from one point to another for their turn. However, without proper queuing tools yet expensive, the waiting time could increase especially in healthcare services while waiting for the treatment. The number of patients increased especially in peak time can contribute to the long waiting time in the healthcare area. The purpose of this project is to propose a low-cost queuing system. The system will manage the queuing process to prevent the healthcare services especially Health Clinic from being crowded and reduced the waiting time. This system is based on Ionic App for the application development and Firebase database to store the real-time data. The entire system is controlled by the Ionic App and can be accessed using a smartphone by downloading the APK file. The reason behind this project is from the observation, a lot of time was consumed during queuing at the Health Clinic while waiting for their turn. Some of the Health clinics still using the manual ticketing queuing system. This results in a long waiting time and overcrowds the small waiting area. Thus, this project will benefit both sides where Health Clinic can organize their queuing management system at a lower cost and reduce patients from longer waiting time during peak hours without physically being at the clinic.

A24: Signal and Image Processing and Computational Intelligence 16:30 Cost Effective Energy Optimization and Indoor Surveillance Hiren Gami (Miami University - OH, USA) A cost-effective surveillance and energy optimization is the primary focus area of modern smart homes and buildings. Pyroelectric Infrared Sensor (PIR) is an excellent device to detect human/animal presence with a small form factor, rugged design, privacy noninvasive, and cost-effective surveillance. Often, a discrete ON/OFF decision of the PIR sensor is used to control lights, electrical appliances, and/or to activate the alarm upon the presence of a human/animal body in a surveillance zone of the sensor. This paper is focusing on decision-making based on the analog pattern obtained from the PIR sensor. An analog pattern and associated with wave shape can reveal valuable information about the direction of movement, approximate distance, and other parameters related to movement in the Field of View (FoV) of a sensor. Machine learning and time-series pattern analysis algorithms can be used to improve estimation reliability. Finally, the sensor module can be connected wirelessly with the master control PC by a low-cost LoRa module to log the movement analytics. The stored information can be useful for optimal logistics and background resource management. The method can be very effective compared with its peer camera-based surveillance that requires more processing power, cost, and more importantly, it is privacy-invasive. A group of Engineering Technology seniors was engaged as a part of their capstone project experience

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in building PIR circuit design, 3D printed customized sensor module housing design, and recording physical movements for backend processing. This adds a valuable inter-disciplinary learning experience of professional project work. 16:50 Reinforcement Learning for Cart Pole Inverted Pendulum System Atikah Surriani (Universitas Gadjah Mada, Indonesia); Oyas Wahyunggoro (UGM, Indonesia); Adha Imam Cahyadi (Universitas Gadjah Mada, Indonesia) Recently, reinforcement learning considered to be the chosen method to solve many problems. One of the challenging problems is controlling dynamic behavior systems. This paper used policy gradient to balance cart pole inverted pendulum. The purpose of this paper is to balance the pole upright with the movement of the cart. The paper employed two main policy gradient-based algorithms. The results show that PG using baseline has faster episodes than reinforce PG in the training process, reinforce PG algorithm got higher accumulative reward value than PG using baseline. 17:10 Detection of Internal Defects Based on Empirical Mode Decomposition and Wavelets Denoising Xiang Qian and Zhiyuan Cheng (Tsinghua University, China) The internal defects of industrial components such as magnetic tiles seriously affect their performance. With the development of intelligent manufacturing technology, industrial manufacturing enterprises need an automatic method to efficiently and accurately detect the internal defects of magnetic tiles. In this paper, a signal pre-processing algorithm based on Empirical Mode Decomposition (EMD) and wavelets denoising is proposed for echo signals for defect detection. Then the variance curve and the adaptive processing method are used to locate the defects accurately. The experimental results show that the algorithm proposed in this paper can been successfully used in defect specimen with different transducer frequency, different defect size and different defect depth. Compared with the original B-scan image, and the internal defects of the specimen could be detected more prominently in enhanced B-scan image, and the accuracy of the defect depth could reach 98.76%, which is better than existing state of the art. Thus, the proposed method has been proved to be effective for optimizing ultrasonic B-mode scanning and accurately locating defects inside magnetic tiles. 17:30 CoVID-19 Mortality Forecasting in Malaysia Using PSO-NARX Algorithm Ihsan M. Yassin (Universiti Teknologi Mara, Malaysia); Azlee Zabidi (Universiti Malaysia Pahang, Malaysia); Megat Syahirul Amin Megat Ali and Rahimi Baharom (Universiti Teknologi MARA, Malaysia) The CoVID-19 pandemic has caused global distress due to its infectivity and mortality rate. This paper presents a mortality forecasting algorithm for CoVID-19 in Malaysia. A Particle Swarm Optimization (PSO)-optimized Multi-Layer Perceptron (MLP)-based Nonlinear Auto-Regressive Model with Exogenous Inputs (NARX) was used to implement the model. The PSO algorithm optimized four key parameters of the NARX model: the lagged input, lagged output, the number of hidden units, and the Mersenne-Twister pseudorandom number generator seed. Optimization and validation results are described. 17:50 A Real-Time Surface Defect Detection System for Industrial Products With Long-Tailed Distribution Xiang Qian (Tsinghua University, China); Xiyu He (Tsinghua University & Tsinghua, China) Applying visual recognition algorithms in surface defect detection has aroused increasing interest in industries. Despite the compelling speed advantages over manual detection, many algorithms fail to inspect defects from tail classes, especially where one defect dominates while the others have a few instances. One reason is that most of those computer vision models are proposed for class-balanced datasets while surface defects on industrial products often follow long-tail distributions. Existing studies alleviate this problem by simply adding synthetic data to the tail classes or manually adjusting weights. Herein, we propose: 1) a transformer embedded backbone structure to extract more representative features from the targets; 2) a 3-grids coordinate loss for predicting targets with multi-scale to reduce the targets miss rate. Our system can detect different kinds of surface defects at 125FPS, achieve 9.8% higher mAP and 3-22% higher AP of tail classes than YOLOv4 on long-tailed magnetic tiles datasets. Besides, our experiment on steel plates dataset shows that the effectiveness of our system is not limited to a certain industrial scenario, making it useful for a wide range of automated inspection tasks.

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B24: Electronic Systems on Chip and Embedded Control/Industrial Automation, Communication, Networking and Informatics/Industrial Electronics and Education

16:30 Efficient Fast Charging Using Simultaneous Search of Optimal Frequency and Optimal Duty Cycle in Pulse Charging Method Md. Tanvir Hossain, Saffat Newaz Sadmani, M Mustafiz Rahman, Md. Taohidul Haque Emon, Fariha Shahrin and A. K. M Abdul Azad (Brac University, Bangladesh) Necessity and the demand to charge the batteries in shorter time leads to the development of fast charging strategies. The aim of fast charging is to inject higher amount of currents in such a way that the battery can reach to its full capacity in the shortest possible time. Battery impedance and polarization voltage needed to be taken into account to do so. CC-CV method, pulse charging method, boost charging etc. are some of the commonly known fast charging methods but among them, CC-CV method is the most used. However, its inability to charge the battery fast enough and also heating the battery have made this method inefficient and dangerous. To overcome these issues pulse charging method can be used where pulses of current are sent into the battery. There are various strategies to do pulse charging. Searching optimal frequency and optimal duty cycle simultaneously and charging with them results in faster charging time and lower battery temperature. The results of the strategy can be found in both hardware implementation and through simulation. Here, both are compared in order to determine which one is the most efficient. 16:50 A Flexible and Reliable Internet-Of-Things Solution for Real-Time Production Tracking Boon Yaik Ooi (UTAR, Malaysia); Wai Kong Lee (Gachon University, Korea (South)); Martin Schubert (Ostbayerische Technische Hochschule (OTH) Regensburg, Malaysia); Yu Wei Ooi (W Tech Marketing Sdn. Bhd., Malaysia); Chee-Yang Chin (W Tech Marketing Sdn. Bhd, Malaysia); Wing Hon Woo (Arrow Systems Sdn. Bhd., Malaysia) The concept of Industrial Revolution 4.0 (IR4.0) has sparked the urgency of many manufacturers to revisit their manufacturing processes and search for opportunities to further improved their production output. Unfortunately, it is difficult to improve a process with inadequate data. Many of the SMEs in developing countries are still using manufacturing machines from the yesteryears which do not have computational and connectivity capabilities. Therefore, we developed an end-to-end Internet-of-Things (IoT) solution, which reliably tracks the production performance of manufacturing machines. This paper elaborates on the designs and the rationale behind it. As of the writing of this paper, our IoT system has been deployed in real manufacturing environment and has been running for approximately 90 days on a 24/7 basis without data lost. 17:10 Fast/On-Time Channel Zapping Scheme Using a Cache Server Over IPTV Multicast System HyunChul Joo and Kyungchul Kwak (SK Telecom, Korea (South)); Intai Kim ( & SK Telecom, Korea (South)); DaiBoong Lee (SK Telecom, Korea (South)) In this paper, we propose the fast/on-time channel zapping scheme using a cache server over IPTV (Internet Protocol TeleVision) multicast system. The cache server of the proposed scheme unicasts the cached data preceded in time of the first PCR (Program Clock Reference) of multicast stream on the switching channel to STB (Set-Top Box) device while minimizing the amount of unicasting data. STB device then adjusts PCR of both unicasting data and multicasting data for fast/on-time playback of the switching channel. Finally, we prove enhanced performance of the proposed scheme through evaluations in the commercial IPTV network. 17:30 An IIoT-Based Networked Industrial Control System Architecture to Secure Industrial Applications Sachin Sen (Unitec Institute of Technology, New Zealand) Behind the success of the current internet, well known OSI and TCP/IP models played the most important role. Whereas, due to lack of such standard architecture, industrial internet is far behind its success. This makes smart industrial internet applications experience increased security risks for their integration with the information technology and exposure to the public internet. In this research, we propose a layered architecture for industrial internet of things based networked industrial control systems. Layer-wise functionality of this architecture can assist in providing necessary resources for secure operation of industrial applications. To validate the proposed architecture, we modelled a physical water flow control system and demonstrated a data deception attack on its operation. This demonstration validates that from within the close proximity of networked control systems, threat actors can launch possible attacks to deceive physical industrial applications. We have proposed a network communication architecture and a subsequent security architecture aligning with the network architecture as the network and security are analogous to each other

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17:50 Multiband Frequency of 4th Order Hilbert Fractal UHF Sensor Modelling for Partial Discharge Detection in Power Transformer Dayini Roslizan (University Malaysia Perlis, Malaysia) PD detection is an effective method of inspecting insulation defects and identifying potential faults in a power transformer. Electromagnetic waves generated due to PD can be detected by ultrahigh-frequency (UHF) sensor in the frequency band greater than 300 MHz. However, the size and the frequency bandwidth of a UHF sensor for PD detection are the concern for practical installation inside a transformer. High sensitivity and multiband frequency of sensors are needed in order to detect the PD signal at an early stage. This paper presents several side dimensions sizes with different thicknesses of 4th order Hilbert fractal UHF sensor for PD detection inside a power transformer. This UHF sensor was modeled to capture PD signal in a range of frequencies between 300 MHz to 3 GHz. The sensor is designed by using CST software where the setting the dimension of 40 mm, 50 mm, 60 mm, 70 mm, 80 mm, 90 mm, 100 mm and 150 mm for length and width with different thickness which is by fixed and by formula with an FR4 epoxy substrate of thickness 1.6 mm. Based on the simulation result, the proposed sensor is obtained a PD signal measurement with a reflection coefficient below -10 dB with VSWR ≤5. The advantages of this sensor have a wide bandwidth, high sensitivity and suitable size for easy installation. Thus, this sensor has been qualified as UHF PD detection in the power transformer.

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AUTHORS INDEX

A. K. M Abdul Azad (Brac University Bangladesh) Abdul Saleem (Government Engineering College, Thrissur, Kerala India) Adha Imam Cahyadi (Universitas Gadjah Mada Indonesia) Adlina Filza Mohamed Azlan (Universiti Teknologi PETRONAS Malaysia) Ahmad Ramli (Universiti Tenga Nasional Malaysia) Ahmed Selema (Ghent University Belgium) Aiguo Patrick Hu (The University of Auckland New Zealand) Ali Bughneda (Universiti Sains Malaysia Malaysia) Amir Shafie (International Islamic University Malaysia Malaysia) Andrew Alexander Malcolm (Advanced Remanufacturing and Technology Centre (ARTC) Singapore) Angie See Tien Ng (Intel Microelectronics Sdn Bhd Malaysia) Antoine Ansart (National Cheng Kung University Taiwan) Asm Shihavuddin (Green University of Bangladesh Bangladesh) Atikah Surriani (Universitas Gadjah Mada Indonesia) Attique Ur Rehman (Horizon Energy Group New Zealand) Azlee Zabidi (Universiti Malaysia Pahang Malaysia) Bai Chen (Nanjing University of Aeronautics and Astronautics China) Bjorn Sturmberg (The Australian National University Australia) Boon Yaik Ooi (UTAR Malaysia) Chee-Yang Chin (W Tech Marketing Sdn. Bhd Malaysia) Chen Qi (Dalian University of Technology China) Chitra Venugopal (Oregon Institute of Technology USA) Choon Hong Toh (Advanced Remanufacturing and Technology Centre (ARTC) Singapore) Chuen Ling Toh (Universiti Tenaga Nasional Malaysia) Cik Siti Khadijah Abdulah (Universiti Malaysia Perlis Malaysia) Dahaman Ishak (Universiti Sains Malaysia Malaysia) Dai Bui (University of Auckland New Zealand) DaiBoong Lee (SK Telecom Korea (South)) Dayini Roslizan (University Malaysia Perlis Malaysia) Doudou N. Luta (University of Technology Cape Town South Africa) Faridah Hanim Mohd Noh (Universiti Tun Hussien Onn Malaysia Malaysia) Fariha Shahrin (Brac University Bangladesh) Fauzan Ismail (Padang Institute of Technology Indonesia) Fayzur Rahman (Green University of Bangladesh Bangladesh) Feng Ju (Nanjing University of Aeronautics and Astronautics China) Guoxiang Hu (Jiangsu Hengli Hydraulic Co., Ltd China) Guoxing Wang (The University of Auckland New Zealand) Hai-Jiao Guo (Tohoku-gakuin University Japan) Hamzah Ahmad (University Malaysia Pahang Malaysia) Haque Md Mejbaul (Australian National University Australia) Hari Krishna Salila Vijayalal Mohan (Advanced Remanufacturing and Technology Centre (ARTC) Singapore) Hiren Gami (Miami University - OH USA) Hirshik Ram S (National Institute of Technology Tiruchirappalli India)

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Hongtao Wu (Nanjing University of Aeronautics and Astronautics China) HyunChul Joo (SK Telecom Korea (South)) Ihsan M. Yassin (Universiti Teknologi MARA Malaysia) Intai Kim (none Korea (South)) Ishihara Tadashi (Fukushima University Japan) Jafferi Jamaludin (University of Malaya Malaysia) Jahid H. Talukder (BRAC University Bangladesh) Jianyu Lan (Shanghai Institute of Space Power Sources China) Jimmy Smith (University of Dayton USA) Jingbin Sun (Nanjing University of Aeronautics and Astronautics China) Jinya Yoshida (Tohoku-Gakuin University Japan) Jyh-Ching Juang (National Cheng Kung University Taiwan) K. Tashiro (Shinshu University Japan) Kasrul Abdul Karim (Universiti Teknikal Malaysia Melaka Malaysia) Kasun sameera saranga Bamunusingha Arachchige (OUSL Australia) Kekiriwara godage Dilana Sandaruwan (Royal Casks Distilleries (Pvt) Ltd Sri Lanka) Khairul Safuan Muhammad (Universiti Teknologi MARA Malaysia) Khlid Ben Hamad (Cape Peninsula University of Technology South Africa) Koay Xian Hong (Intel Microelectronics Sdn Bhd Malaysia) Koki Kataoka (National Institute of Technology, Gifu College Japan) Kotb B. Tawfiq (Ghent University Belgium) Kruthi Doddabasappla (University of Calgary Canada) Kyungchul Kwak (SK Telecom Korea (South)) Lau Tuck Sheng (Intel Microelectronics Sdn Bhd Malaysia) Laura Jones (Australian National University Australia) Lei Zhao (The University of Auckland New Zealand) M Mustafiz Rahman (Brac University Bangladesh) M. Daud Ahmed (Manukau Institute of Technology New Zealand) M. R. D. Al-Mothafar (JUST Jordan) Maaspaliza Azri (Faculty of Engineering Malaysia) Martin Schubert (Ostbayerische Technische Hochschule (OTH) Regensburg Malaysia) Masaru Hasegawa (Chubu University Japan) Md Pauzi Abdullah (Universiti Teknologi Malaysia Malaysia) Md Tariqul Islam (Green University of Bangladesh Bangladesh) Md. Hasan Maruf (Green University of Bangladesh Bangladesh) MD. Khairul B. Bhuiyan (BRAC University Bangladesh) MD. Shoaib Islam (BRAC University Bangladesh) Md. Tanvir Hossain (Brac University Bangladesh) Md. Taohidul Haque Emon (Brac University Bangladesh) Megat Syahirul Amin Megat Ali (Universiti Teknologi MARA Malaysia) Mengxue Dong (Shanghai Institute of Space Power-sources China) Mohamad Heerwan Peeie (Universiti Malaysia Pahang Malaysia) Mohamed Nabil (UGent Belgium) Mohamed Nageh (Universiti Teknologi Malaysia Malaysia) Mohamed Salem (Universiti Sains Malaysia (USM) Malaysia)

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Mohammad Saifullah Mohd Salman (Intel Microelectronics Sdn Bhd Malaysia) Mohd Amran Mohd Radzi (Universiti Putra Malaysia Malaysia) Mohd Hezri Fazalul Rahiman (UiTM Malaysia) Mohd Syakirin Ramli (Universiti Malaysia Pahang Malaysia) Muhamad Faizal Yaakub (Universiti Teknikal Malaysia Melaka Malaysia) Muhamad Syahmi Hakim Mohd Izani (Universiti Teknologi MARA Malaysia) Muhammad Hafiz Saniman (Universiti Teknologi MARA Malaysia) Muhammad Talha (University of Malaya Malaysia) Mutuwo Tomita (National Institute of Technology, Gifu College Japan) Nadia Tan (Universiti Tenaga Nasional Malaysia) Najva Hassan (Government Engineering College, Thrissur, Kerala India) Nasrudin Abdul Rahim (University Malaya Malaysia) Neel Pandey (Manukau Institute of Technology New Zealand) Nor Farahaida Abdul Rahman (Universiti Teknologi MARA Malaysia) Nor Zaihar Yahaya (Universiti Teknologi PETRONAS Malaysia) Nuraina Syahira Mohd Sharifuddin (Universiti Tenaga Nasional Malaysia) Nurzawanah Zuhairah Sa'adon (Universiti Teknologi MARA Malaysia) Oyas Wahyunggoro (UGM Indonesia) Peng Gao (Tianjin University,China China) Peter Sergeant (Ghent University Belgium) Pieter Nieuwoudt (Manukau Institute of Technology New Zealand) Pisit Liutanakul (King Mongkut's University of Technology North Bangkok Thailand) Pokkrong Vongkoon (King Mongkut's University of Technology North Bangkok Thailand) Pratik Uthan (National Institute of Technology Tiruchirappalli India) Qi Zhu (The University of Auckland New Zealand) Qinghao Wang (Nanjing University of Aeronautics and Astronautics China) Rahimi Baharom (Universiti Teknologi MARA Malaysia) Raihana Shams Islam Antara (BRAC University Bangladesh) Raja Nor Firdaus Kashfi Raja Othman (Universiti Teknikal Malaysia Melaka Malaysia) Ratil Ashique (Green University Bangladesh Bangladesh) Rushi Vyas (University of Calgary Canada) Saad Aslam (Manukau Institute of Technology New Zealand) Sachin Sen (Unitec Institute of Technology New Zealand) Sadiq Ur Rehman (Tianjin University China) Saffat Newaz Sadmani (Brac University Bangladesh) Saharudin Kamaroszaman (Universiti Teknikal Malaysia Melaka Malaysia) Salah Alatai (Universiti Sains Malaysia Malaysia) Sanjana L Dias (Sri Lanka Institute of Information of Technology Sri Lanka) Sayyed Haleem Shah (Tianjin University China) Senthil S (National Institute of Technology, Trichy India) Shafiqur Rahman Tito (Manukau Institute of Technology New Zealand) Shalitha Madhawa Jayasekara (The Open Univerisity of Sri Lanka Sri Lanka) Shamsul Zulkifli (Universiti Tun Hussein Onn Malaysia Malaysia) Shinji Doki (Nagoya University Japan) Shiyao Zhou (Shanghai Jiao Tong University China)

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Siti Rohani Sheikh Raihan (Universiti Malaya Malaysia) Snjezana Soltic (Manukau Institute of Technology New Zealand) Sourav Barua (Green University of Bangladesh Bangladesh) Suhairi Rizuan Che Ahmad (Universiti Kuala Lumpur-British Malaysia Institute Malaysia) Syed Farid Syed Adnan (Universiti Teknologi MARA Malaysia) Sze Lyn Chng (Intel Microelectronics Sdn Bhd Malaysia) Tanjidul Islam Sanvi (Brac University Bangladesh) Tao Li (Harbin Institute of Technology China) Tatsuki Hayashi (National Institute of Technology, Gifu College Japan) Tek Tjing Lie (Auckland University of Technology New Zealand) Usman Abubakar (Tianjin University China) Uthpala Premarathne (The Open University of Sri Lanka Sri Lanka) Veeramani V (National Institute of Technology Tiruchirappalli India) Venkata Nagarjun PM (National Institute of Technology Tiruchirappalli India) Wai Kong Lee (Gachon University Korea (South)) Wing Hon Woo (Arrow Systems Sdn. Bhd. Malaysia) Xian Cui (Shanghai Jiaotong Univetsity China) Xiang Qian (Tsinghua University China) Xiaoyuan Wang (Tianjin University China) Xin Jin (Dalian University of Technology China) Xiyou Chen (Dalian University of Technology China) Xiyu He (Tsinghua University China) Yan Hong (Nanjing University of Aeronautics and Astronautics China) Yijie Wang (Harbin Institute of Technology China) Youngyoon Kim (Manukau Institute of Technology New Zealand) Yu Wei Ooi (W Tech Marketing Sdn. Bhd. Malaysia) Yusheng Xiang (Karlsruhe Institute of Technology Germany) Zhengying Lang (State Grid Dalian Electric Power Supply Company China) Zhiyuan Cheng (Tsinghua University China) Ziqiang Chen (Shanghai Jiao Tong University China) Zulkufli Zakaria (Suria Giant Fan Services Sdn Bhd Malaysia)

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ACKNOWLEDGEMENT Photo Credit: Penang Global Tourism Copyright and Reprint Permission: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For reprint or republication permission, email to IEEE Copyrights Manager at [email protected]. All rights reserved. Copyright ©2021 by IEEE.