Table of Contentsiccis.pafkiet.edu.pk/Docx/ConferenceProceeding ICCIS-2016.pdf · Dr. Anh...

Table of Contents

PRESIDENT’S MESSAGE .................................................................................................................... 01

DEAN’S MESSAGE ................................................................................................................................ 02

CONFERENCE COMMITTEES. .......................................................................................................... 03

CONFERENCE PROGRAM SCHEDULE. ......................................................................................... 04

KEYNOTE INTRODUCTION. ............................................................................................................. 05

TECHNICAL SESSIONS DETAIL....................................................................................................... 26

TECHNICAL SESSION I. ...................................................................................................................... 08

TECHNICAL SESSION II. ..................................................................................................................... 14

TECHNICAL SESSION III. ................................................................................................................... 26

Organized by: College of Computing and Information Sciences [CoCIS] 1 | P a g e

Welcome Message from the President

It is my pleasure to welcome all participants to the first International Conference organized by the

College of Computing & Information Sciences on December 5 - 6, 2016. As research plays an

extremely important role in both, the academia and industry, therefore such activities help to

nurture a healthy research environment. This forum would indeed provide an opportunity to all

participants, to share latest research in various areas of computing and information sciences. In this

context, the inter-disciplinary research directions can open up new horizons of collaboration and

learning. I am hopeful that this maiden initiative taken by the College of Computing & Information

Sciences would also encourage other colleges at PAF-KIET to follow suit. I look forward to

highly meaningful and productive sessions and hope that we all would learn something from this

two-day conference.

Air Vice Marshal Tubrez Asif, PAF Ret’d. President,

PAF-KIET


Message from the Dean (Academics)

It is a welcome opportunity for me to take part in this conference organized by the College of

Computing and Information Sciences (CoCIS). It is heartening to know that many institutions

involved in teaching similar subjects are part of this conference. A large number of papers

submitted made the task difficult for the reviewers, who have nevertheless made the decision

keeping in view the time limit of the conference. The subject areas covered in the conference are

also wide spread such as: Machine Learning, Software Engineering, Distributed Computing,

Computer Networks and Digital Image Processing. Hopefully the result of the conference would

be a promotion of the field. Keeping up with the pace, I expect other institutions would be

forthcoming with similar events in future and of course CoCIS would be planning for the next

conference with much higher aims.

In the end, I would like to thank you all for participating and making this conference a success.

Professor Dr. Muzzaffar Mahmood

Dean Academics


Conference Committees

Organizing Committee

Technical Committee

Muhammad Khalid Khan (Chair) Dr. Muzaffar Mahmood (Chair)

Dr. Taha Jilani Dr. Khurrum Nazeer Junejo

Mr. Abdul Wahab Khan Dr. Maaz Bin Ahmed

Mr. Furqan Abbasi Dr. Taha Jilani

PAFKIET’s Student ACM Chapter Dr. Bilal Qadri

o Muhammad Shaheer Hasan Dr. Hussain Pervaiz

o Fawad Tariq Qureshi Dr. Imran Naseem

o Ibrahim Jamal Dr. Tariq Mahmood

o Misbah Mubeen Dr. S.M.K. Raazi

o Hammas Malik Dr. Ghazanfar Monir

o Rauf Khan Dr. Imran Jami

o Komal Farooq Dr. Shoukat Wasi

o Jahanzaib Rana Dr. Muhammad Amir

o Naveed Ahmed Dr. Faraz Zaidi

o Syed Daniyal

o Raqia Baber

o Arsalan Peerzada

o Mustufa Ishaq

o Haseeb ur Rehman Butt

o Abdul Rehman


Conference Program Schedule

1st Day of the Conference

Monday, December 05, 2016 (11:00 am to 4:15 pm)

Arrival of Guests, Participants / Registration 10:30 am

Guests to be seated 10:50 am

Opening Ceremony / Tilawat 11:00 pm

Welcome Address by President, PAF-KIET 11:10 pm

Dean’s Speech 11:20 pm

Keynote Speech by Dr. Mohd. Fadzil Bin Hassan 11:30 pm

Keynote Speech by Dr. Anh Nguyen-Duc 12:10 pm

Mementos Distribution 12:50 pm

Namaz & Lunch break 01:00 pm

Technical Session I – Session Chair (Dr. Khurrum Nazeer Junejo) 02:00 pm – 04:15 pm

2nd

Day of the Conference

Tuesday, December 06, 2016 (11:00 am to 4:15 pm)

Arrival of Guests / Participants 10:30 am

Guests to be seated 10:50 am

Technical Session II – Session Chair (Dr. Maaz Bin Ahmed) 11:00 am – 01:30 pm

Namaz & Lunch break 01:30 pm

Technical Session III – Session Chair (Dr. Taha Jilani) 02:00 pm – 04:15 pm


Keynote Introduction

Dr. Anh Nguyen-Duc is a researcher at the Department of Computer and Information Science,

Norwegian University of Science and Technology (NTNU), Norway. He has a Ph.D in

Information Science from NTNU. He is in the chair role and organization committees of several

conferences and workshops, i.e. IWSS2015, 2016, ICE2016, PROFES2016, EASE2017 and

ISEC2017. He has published and served for several conferences and journals, including

Information Software and Technology (IST), Journal System and Software (JSS), Empirical

Software Engineering (ESE), Advances in Software Engineering, OSS, ICGSE, ESEM, XP,

PROFES and ICSSP. His research interests include Empirical Software Engineering, Data Mining

in Software Engineering, Global software development and Software Startups Research. Since

2015, he has been active as a co-founder of the first and largest international research network on

software startup (SSRN). Currently, he serves as a mentor and coach for several European startups

and communities.

Research area:

Empirical Software Engineering, Global software development, Data mining, Software Startups

Dr. Anh Nguyen-Duc

Research Fellow Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.


Associate Professor Dr. Mohd Fadzil Hassanis affiliated with the Computer & Information

Sciences Department and for the past 5 years has been holding the position as the Dean of Centre

for Graduate Studies, Universiti Teknologi PETRONAS (UTP), a private university wholly owned

by PETRONAS, the national Oil and Gas Company of Malaysia. UTP is a top private university in

Malaysia specializing in engineering and technology fields and currently ranked at 127th position

in the QS Asian University Ranking.

He is an alumnus of the Malay College Kuala Kangsar (MCKK), Malaysia and graduated in 1999

from the Colorado State University, USA with a BSc (cum-laude) in Computer Information

Systems. He obtained his MSc in Artificial Intelligence in 2001 and PhD in Informatics in 2007

from the University o f Edinburgh, UK.

His research interests are in the area of Artificial Intelligence, Service Oriented Architecture

(SOA) and Cloud-Computing. Since 2007, he has been actively involved in 17 research projects

either as a principal researcher or co-researcher (i.e. 5 internal, 8 national, 4 international) with a

total research grant amount of more than USD 1 million. These research grants have been secured

from numerous sources namely FRGS, ERGS and Techno fund from the Malaysian government,

KETEP & POSTECH of Korea and King Faisal University, KSA. He is currently supervising 7

active PhD candidates as the main supervisor and since 2008, 6 candidates have successfully

completed their PhD degrees under his supervision. He is also actively involved with international

collaborative research works particularly with universities from the Middle East and ASEAN

region. He has involved in authoring more than 100 publications that have been featured in

indexed journals, conference proceedings, book chapters, and books.

Research area:

Artificial Intelligence, Service Oriented Architecture (SAO), Cloud Computing

Dr Mohd Fadzil Bin Hassan

Dean, Centre for Graduate Studies, Universiti Teknologi Petronas, Malaysia.


Technical Sessions Details

DAY 01

Technical Session I – Session Chair (Prof. Dr. Muzzaffar Mahmood)

Session Organizer (Dr. Khurrum Nazeer Junejo)

Genetic Approach to Solve Tower of Hanoi Problem 02:00 pm

Prediction Type Decision for Advanced Video Coding: A Machine

Learning Approach 02:25 pm

A Comparative Study of Textural Measures for Handwriting based

Gender Classification 02:50 pm

Improving Image Contents using Fuzzy Rule-based Contrast

Enhancement and Histogram Equalization 03:15 pm

Electronic Voting via Face Recognition 03:40 pm

DAY 02

Technical Session II – Session Chair (Dr. Dr. Mohd. Fadzil Bin Hassan)

Session Organizer (Dr. Maaz Bin Ahmed)

A Survey on Usage of Touchscreen versus Mouse for Interaction 11:00 am

Instant Answers, 5W’s & H Tool 11:25 am

Usability Evaluation Methods for Jurassic Carnival 11:50 am

A Review of Enterprise Application Integration concepts: An

Investigation on Current Market Trends 12:15 pm

An Efficient Haar Wavelet Technique for the Numerical Solution of

Fractional Partial Differential Equations 12:40 pm

Consequences of the Lack of Interest-based Educational Choice among

Pakistani Student 01:05 pm

DAY 02

Technical Session III – Session Chair (Dr. Anh Nguyen-Duc)

Session Organizer (Dr. Taha Jilani)

A Comparative Study of Data Prioritization Algorithms in BAN 02:00 pm

Smart Door Lock System with Automation and Security 02:25 pm

A Smrt-rpms-app: A novel Remote Patient Monitoring system featuring

Vital Signs via smart phones 02:50 pm

Comparative Analysis among Thermal Routing Protocols in BAN 03:15 pm

Survey of Security Issues in Big Data 03:40 pm


Technical Session I

List of Abstracts


Genetic Approach to Solve Tower of Hanoi Problem

Samran Naveed [email protected]

Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Saudi Arabia

Muhammad Sajid Iqbal

[email protected]

Electrical Engineering Department, National University of Computer and Emerging Sciences, Karachi,

Pakistan

Abstract- Automated planning usually denoted as planning is a branch of artificial intelligence.

Planning deals with the realization of the strategies or sequence of actions to solve complex

problems. In Planning, we usually search through a "search space" to find an appropriate plan for

the problem on hand. Genetic algorithms are search heuristic, often used to find optimal solution

of complex problems. In this study, we have proposed a genetic approach to planning, and

presented a method to apply genetic algorithm to explore state space of planning problem. To

justify the proposed approach, a planning problem, “Tower of Hanoi” is considered. The

mathematically formulation for the problem was made in planning domain and solution is sought

by applying genetic algorithm. The algorithm is flexible because we have considered different

cases of tower of Hanoi. We performed different experiments to validate all the cases and the

detailed results are available in result and discussion section.

Keywords- Genetic Algorithm, Automated Planning, Tower of Hanoi, Artificial Intelligence


Prediction Type Decision for Advanced Video Coding: A

Machine Learning Approach

Muhammad Asif [email protected]

Capital University of Science and Technology, Islamabad, Pakistan

Maaz Bin Ahmad

[email protected] College of Computing & Information Sciences, PAF-Karachi Institute of Economics and Technology, Karachi,

Pakistan

Rafi Ullah [email protected]

College of Computing & Information Sciences, PAF-Karachi Institute of Economics and Technology, Karachi, Pakistan

Syed Ali Hassan

[email protected] Capital University of Science and Technology, Islamabad, Pakistan

Abstract- The modern video coding standards such as High Efficiency Video Coding (HEVC) and

H.264/MPEG-4 Advanced Video Coding (AVC) use variable block-size intra and inter-prediction

modes to improve the coding efficiency. These coding standards employ an exhaustive search

algorithm rate-distortion optimization (RDO) to select the coding parameters for each macro

block (MB) such as prediction type, modes and block sizes. The use of the RDO process drastically

increases the computational complexity of the encoder. This paper presents a computationally

efficient methodology to decide the prediction type for an MB based on machine learning

technique. The experimental results for H.264/AVC reviles that the proposed technique is about

25.61% faster than the full search method with negligible coding loss in terms of BDPSNR and

BDBR i.e.by the amount of 0.006 dB and 0.169%, respectively.

Keywords- H.264/AVC, HEVC, Prediction type, RDO

mailto:[email protected]


A Comparative Study of Handwriting based Gender

Classification

Mahwish Pervaiz [email protected]

Computer & Software Engineering Department, Bahria University Karachi Campus, Pakistan

Syed Hassan F

[email protected] Computer & Software Engineering Department, Bahria University Karachi Campus, Pakistan

Chawki Djeddi [email protected]

Department of Mathematics and Computer Science, Larbi Tebessi University, Algeria

Abstract- A number of studies by psychologists as well as by computer scientists has validated the idea that correlation exists between handwriting and gender of the writer. A key discriminating factor between male and female writings is the texture of the writing image. This paper presents a comparative study to evaluate effectiveness of different textural measures in characterizing gender from digitized images of handwriting. We investigate different variants of local binary patterns (LBP) including local ternary patterns (LTP), complete local binary patterns (CLBP) and local configuration patterns (LCP) as features to represent handwriting images. Features extracted from male and female writings are used to train a neural network. The system is evaluated on the standard QUWI database of handwriting images and realizes promising classification rates. Keywords- Handwriting Analysis, Gender Classification, Textural Features, Neural Networks.


Improving Image Contents using Fuzzy Rule-based Contrast Enhancement and Histogram Equalization: A Comparative

Study

Dr. Tariq Javid [email protected]

Engr. Muhammad Faris [email protected]

Hamdard Institute of Engineering and Technology, Karachi, Pakistan

Abstract- Contrast enhancement is a well known technique used as an image enhancement task in a digital image processing system. The enhanced output image has improved visual contents, as compared to the input image, to better suite an application. Histogram equalization is commonly used in the spatial domain to accomplish the same task. Fuzzy rule-based systems are used to employ domain expert knowledge in the form of if-then rules. These systems are capable to address problems having an element of uncertainty. In this paper, a fuzzy rule-based system is implemented for image contrast enhancement with three simple rules. A set of standard digital images from public domain are used to generate results from the developed expert system. Global histogram equalization is applied to the image data set for comparison. The comparative analysis show superior visual contents in the case of fuzzy rule-based approach as compared to the spatial domain histogram equalization technique. The assessment methods include correlation, mutual information, structural similarity index, structural similarity index with automatic down sampling, and natural image quality evaluator.

Keywords- Fuzzy rule-based contrast enhancement; histogram equalization; image enhancement;

image quality assessment




Electronic Voting via Face Recognition

Mirza Misbah Mubeen Baig [email protected]

Shahzain Mehboob

[email protected]

Muhammad Affan Aleem [email protected]

College of Computing & Information Sciences, PAF – Karachi Institute of Economics & Technology, Karachi,

Pakistan

Abstract- This paper proposes a simple low cost secure electronic voting system based on face recognition. With the advancement of technologies, it is the requirement to develop a system in which people can cast their vote from anywhere with safe and secure manner. In this context, an electronic voting via face recognition system is proposed which doesn’t need any special biometric device. Face verification based authorization is required for both registration and vote casting. Android framework is used to develop the system. Local binary pattern with combination of chi-square classification is used for face verification. The system only required a smart phone for registration and vote casting. For those, who don’t have smart phones or can’t use the smart phones, a parallel web based system is also developed. The proposed system has several advantages over conventional manual vote casting and thumb based vote casting systems. Results show that the system produces good recognition accuracy on different databases namely Yale, AR, GT and Home databases.

Keywords- voting, LBP, face recognition, android based voting




Technical Session II

List of Abstracts


A Survey on Usage of Touch screen versus Mouse for

Interaction

Ibrar Hussain [email protected]

Iftikhar Ahmed Khan

[email protected]

Syed Sajid Hussain

[email protected]

Attiqa Rehman

[email protected]

Department of computer science, COMSATS Institute of Information Technology, Abbottabad

Abstract- In the beginning of the personal computing era, the main input device to interact with machines was a physical keyboard. The introduction of the mouse as a point and select device revolutionized personal computers making them easier and faster to use. During the last decade, a new interface system based on touch-screen has made its debut especially among mobile phones and other handheld devices. In this survey paper, we have conducted a literature review of the studies comparing mouse and touch screen for interaction. Specifically, we have surveyed the following aspects: how the users of different age groups use these devices? What is the effect of direct manipulation and indirect manipulation, on tasks and their variability? How the experience with technology does affect the efficiency? Which device helps to gain speed and accuracy under what circumstances? Based on these parameters, we concluded about the suitability of the devices under different circumstances.

Keywords- Personal computing, Input device, Keyboard, Mouse, Touch Screen, direct and indirect

manipulation.


Instant Answers, 5W’s & H Tool

Muhammad Faisal [email protected]

Usman Waheed

[email protected]

Muhammad Nabeel Arif [email protected]

Computer & Software Engineering Department, Bahria University Karachi Campus, Pakistan

Abstract- Five W’s & H provide very effective way of gathering complete information regarding your desired subject. It involves classifications of reporter questions for correctness and accuracy. It requires appropriate selection source of data from where you can extract your required information and apply your strategy to automate this process. Research producing specialized multisource search engine that extracts 5W’s & H with multi layered Pipeline Architecture. Its ultimate goal is to provide fast, accurate and complete information to students, researchers and knowledge seekers.

Keywords- Knowledge-Base (KB); Natural language processing; Named Entity Recognition; 5 W’s & H (What, Who, Where, Why, When, How);


Usability Evaluation Methods for Jurassic Carnival

Afshan Ejaz

[email protected] Faculty of Computer Science, Institute of Business Administration, Karachi, Pakistan

Urooj Waheed [email protected]

College of Computing & Information Sciences, PAF-Karachi Institute of Economics and Technology, Karachi, Pakistan

Abstract- Usability looks at the how a user is interacting with a product or system. It looks at the quality of the user experience while using an application. Usability is about effectiveness, efficiency and the overall satisfaction of the user. Usability tasks were developed based on the performance and satisfaction metrics. Performance metrics will evaluate how the user interacts with the game and satisfaction metrics will evaluate how the user felt while playing the game. For this game, a number of techniques are used to evaluate not just the design but also other factors like ease of use, visibility of system status, user control and freedom, match between system and the real world, help and documentation.

Keywords- Usability Evaluation Performance Metric, SUS and Self-reported Metrics.




A review of Enterprise Application Integration concepts: An

investigation on current market trends

Hira Anwar Khan [email protected]

Faculty of Computer Science, Institute of Business Administration, Karachi, Pakistan

Sania Siddiqui [email protected]

Faculty of Computer Science, Institute of Business Administration, Karachi, Pakistan

Urooj Waheed

[email protected]

College of Computing & Information sciences, PAF-KIET Karachi Institute of Economics and Technology, Karachi, Pakistan

Abstract- The task of integration has been addressed by different approaches. Service Oriented Architecture (SOA) is found to be a preferred approach as it provides scalability and eases development process by integrating applications as reusable system services. On the basis of research an empirical study has been conducted on the know-how of enterprise integration technologies and practices followed in the local industry and academia. It was identified that a comprehensive study explaining all the facets of Enterprise Integration was missing in the prior studies. This gap coincided with a low reporting of SOA and enterprise architecture frameworks studied in context of Pakistan. Therefore, an empirical investigation using a primary research method was performed. The instrument used to collect data was a combination of Technology Acceptance Model and User Acceptance Model. A total of 45 responses were accepted with no missing data. The survey takes into account following variables: Attitude (A), Security (S), Access Cost (AC), Perceived ease of use for SOA (PEOUS), Perceived usefulness (PU), Perceived information quality (PIQ), Perceived system quality (PSQ), Perceived service quality (PSvQ) and User acceptance (UA). Results suggest that Perceived usefulness PU and Perceived information quality( PIQ) have a positive impact on User Acceptance (UA). Attitude was found to be insignificant in this study.

Keywords- EI, TOGAF, DODAF, EAI.





An Efficient Haar Wavelet Technique for the Numerical Solution

of Fractional Partial Differential Equations

Sahar Altaf [email protected]

College of Humanities and Sciences, PAF-KIET Karachi Institute of Economics and Technology, Karachi, Pakistan

Sheikh Muhammad ali [email protected]

College of Computer Science and Information Systems, Institute of Business Management, Karachi, Pakistan

Sanjay Kumar [email protected]


Abstract- In this paper, an efficient numerical method Haar wavelet has been presented for solving fractional partial differential equations. The fractional derivatives are described in Caputo sense. The approximate solution of some fractional partial differential equations namely Heat equation with lateral heat loss, KDV-type, Klien Gordon and KPP equation with initial –boundary conditions are considered and comparison is made with exact solution. The suggested technique is simple and effective for solving fractional partial differential equations numerically. Keywords- Fractional Partial differential equation, Caputo derivative, Haar wavelet


Consequences of the Lack of Interest based Educational Choice

among Pakistani Students: How technology could improve educational choice process

Syed Abbas Ali [email protected]

Department of Computer & Software Engineering, Bahria University, Karachi, Pakistan

Usman Waheed

[email protected] Department of Computer & Software Engineering, Bahria University, Karachi, Pakistan

Abstract- It has almost become a social norm in Pakistan that the students who are about to enter their undergrad life and make one of the most crucial decisions that will have an impact on the entirety of their future; i.e. deciding a career path for themselves, are left with a handful of options to choose from, that may or may not be in alignment with their personal interests. These options may include career paths such as some engineering disciplines (civil, mechanical, electrical et cetera), medical science, and business administration. In many cases, students do not even have the liberty to make their own choice. Their decision is influenced by the opinion of their parents, guardians, or other family members, or they just have to follow the family trend. Such practices are only causing harm as students are not encouraged to choose a career path solely in accordance with their interests and work activities that they prefer. The consequences include increasingly high dropout rates, especially among the undergrads; unsatisfied jobs; switching between study majors; and what not.

Keywords- Career, decision-making, dropouts, education, Pakistan, students, study-majors.




Technical Session III

List of Abstracts


A Comparative Study of Data Prioritization Algorithms in Body

Area Network (Ban)

Hira Beenish [email protected]

Shah Muhammad Emad

[email protected]

Rafi Ullah [email protected]

College of Computing & Information Sciences, PAF-Karachi Institute of Economics and Technology, Karachi,

Pakistan

Abstract - Wireless Body Area Networks (WBANs) signify a likely drift in wearable healthiness

observing systems. In wearable body area networks, priority is one of the prime concern by which

communication can be transferred successfully. If the node does not know which packet is more

critical for patient’s life, then the aim of wearable of body area network will be broken down.

Wireless body area network contains exceptionally sensitive data in context of transmission

delay. Every node gathers the sensor information, allocates priority to measure fault tolerance of

every node data, data of the highest priority node would be processed first. Normally, ECG data

has highest priority and should be processed first. This paper provides a comparison of different

techniques in order to find an appropriate approach among the studied algorithms. The

robustness of proposed work with proof of experiments has been discussed.

Keywords- Body Area Network, Data Prioritization


Smart Door Lock System with Automation and Security

Wajiha Muzaffar Ali

[email protected]

Ibshar Ishrat

[email protected]

Sana Ghani

[email protected]

Sadia Sami

[email protected]

Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi, Pakistan

Abstract- This paper presents the design of Smart Door Lock System with Automation and

Security - an implementation of IoT (Internet of Things). The system allows the users to monitor

and control their homes using the Android device. This design can be customized for different

kinds of locks including car locks. It uses Raspberry pi as the main device with Raspbian as the

operating system to be installed near the lock. Different sensors have been interfaced to detect

door bell and knock. It also notifies if any suspicious person is sensed. The system also keeps

track of the door status i.e. opened or closed. It notifies the user of the visitor or the suspicious

person detected through the mobile application along with the picture. For notification, the

system has made use of Google Cloud Messaging service. The user, if intends to, can unlock the

door for the known visitor or make an emergency call in case of suspicion. The door would be

unlocked after the verification of pin code. One Application would be capable of controlling and

monitoring different locks.

Keywords- IoT, Android Application, Automation.


A Novel Remote Patient Monitoring System Featuring VITAL

Signs via Smart Phones

Hafiz Muhammad Sohaib Azhar [email protected]

Muhammad Suffian

[email protected]

Saif Hassan

[email protected]

Muhammad Ali Jinnah University, Karachi, Pakistan

Abstract- Medical staff face many difficulties while monitoring patients 24 hours continuously in case of I.C.U . Also, there are limited available medical professionals especially for ECG/EEG activity. People find it quite difficult to access them within their range. Smrt-rpms-app is a system that provides a helping hand in bridging a patient to such concerned medical professional. It is all about trending the Smart phones and the technology developers to facilitate medical field through hot Android based technology. As smart phone has become an integrated part of everyday life, used not only for communication purposes but also in medicine and healthcare as well. The proposed Smrt-rpms-app is fully designed for the heart patients, that offers patients another way for treatment at their home regularly with special medical conditions. The heart patients can’t make regular and daily visits to the hospital that’s why they need an easy to use Smrt-rpms-app system. This paper offers a better understanding to the smart phone developers that they will focus and promote an option of such sensor networks and user friendly apps that incorporate remote patient monitoring systems. With recent technology, Smrt-rpms-app is able to tackle the monitoring issues by carrying out remote monitoring vital signs parameters (the ECG, pulse-rate and body-temperature) data in patients. The data is transmitted through App based WSN communication between a patient and medical personnel using a smart-phone. The combination of a Mobile and Wireless Sensor Network provides another way to determine ECG, heart rate and body temperature in real time during patient’s care remotely. In project, we use Arduino (for patient’s nodes), data server personal computers (for the record) and smart phones (for transmitting data to doctor), wireless sensors (to determine heart rate and body temperature) and a Bluetooth module. Keywords - Smrt-rpms-app, ECG / EEG, WSN, RPMS, Arduino Bluetooth technology





Comparative Analysis among Thermal Routing Protocols in

Wireless Body Area Networks (WBANs)

Muhammad Naveed [email protected]


Abstract- The growing use of most demanding wireless networks and the persistent miniaturization of electrical devices has encouraged the development of Wireless Body Area Networks (WBANs). WBANs establish a subsection of Wireless Sensor Networks (WSNs), the main determination of which is to observe the functions and surroundings of the human body. The sensors of a WBAN measure for instance the body temperature, the heart beat or record an elongated electrocardiogram. On the other hand, the heat produced by the node’s circuitry and antenna might cause destruction to the human tissue. Consequently, in planning a routing protocol for WBANs, it is significant to lessen the heat by integrating temperature into the routing metric. The key provision of this paper is to compare and analyze existing thermal routing protocols that have been proposed for WBANs. In this paper, a brief overview of WBANs is presented; the current thermal routing protocols are comparatively reviewed and the challenging open issues in the design of such routing practices are mentioned. Keywords- WBAN, WBSN, Thermal routing, Temperature aware routing.



Survey of Security Issues in Big Data

Syeda Ambreen Zafar

[email protected]

Muhammad Khalid Khan [email protected]

College of Computing & Information sciences, PAF-KIET Karachi Institute of Economics and Technology,

Karachi, Pakistan

Abstract- Big data has captured the attention of the world in recent years as it offers new tools and techniques to handle massive datasets. Various tools and techniques are developed for big data but these tools lack in handling security issues. The security issues is big data are different from traditional database security issues as the nature of work is different in big data. Various traditional mechanisms such as encryption algorithms and authentication techniques are used with big data tools to address security issues but still there are many open issues in this area. The paper presents a survey of big data security issues and mechanisms.

Keywords- Big Data, Security Issues, Hadoop

Table of Contentsiccis.pafkiet.edu.pk/Docx/ConferenceProceeding ICCIS-2016.pdf · Dr. Anh...

Documents

Transcript of Table of Contentsiccis.pafkiet.edu.pk/Docx/ConferenceProceeding ICCIS-2016.pdf · Dr. Anh...