1

ISMS2015

Intelligent Systems, Modelling and Simulation 2015

9 - 11 February 2015, Kuala Lumpur, Malaysia

Conference Chair

Zuwairie Ibrahim, University of Malaysia in Pahang (UMP) Athanasios Pantelous, University of Liverpool, UK

Honorary Conference Co-Chairs Zaliman Sauli, University of Malaysia in Perlis (UniMaP) Putchong Uthayopas, Kasetsart University, Bangkok Ismail Saad, University of Malaysia in Sabah (UMS)

Program Chairs and Honorary Program Co-Chairs

Zulkarnay Zakaria, University of Malaysia in Perlis (UniMaP) Adam Brentnall, Queen Mary London University, UK Alessandra Orsoni, Kingston University, UK Marco Vannucci, Scuola Superiore Sant'Anna, Italy

Local Arrangements Chair and Team

Mohd Ibrahim Shapiai, Universiti Teknologi Malaysia (UTM) Zulkifli Md Yusof - Universiti Malaysia Pahang (UMP) Asrul Adam - Universiti Malaya (UM) Kamil Zakwan Mohd Azmi - Universiti Malaysia Pahang (UMP)

General Chair David Al-Dabass, Nottingham Trent University, UK

Proceedings published by IEEE-Conference Publication Services ISBN 978-1-4799-8257-8

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ISMS2015

Intelligent Systems, Modelling and Simulation 2015

9 - 11 February 2015, Kuala Lumpur, Malaysia

Conference Program and Abstracts of scheduled papers

Conference Program at a Glance Pages 3 - 7

Conference Program in Full Pages 8 – 21

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ISMS2015 Conference Program at a Glance Session Code: Tue.pm1 means Tuesday afternoon before tea break. Other Time periods: am1, am2, pm1, pm2

Paper Code: e.g. A4 see following pages for a full list: Track letter: A, B, C . and paper number within track e.g. A4

Day-0: Sunday 8 February 2015: 5 to 6pm, Early registration desk opens for one hour, Pacific Regency Hotel.Time Day-1: Monday 9 February 2015 (Keynote Speaker + 18 papers)

8.30 (Chair: Al-Dabass/ Zuwairie): Conference Opening session 8.45 – 10.15 Mon.am1 (Chair: Al-Dabass): Keynote Speaker: Prof Yong Ming Teo10.15 – 10.30 Refreshments 10.30 – 12.30, 6 Mon.am2 (Chair: Kamil Azmi/Rita Chhikara): A1, A3, A4, A5, A7, []12.30 – 1.45 Lunch 1.45 – 3.45, 6 Mon.pm1 (Chair: Zulkifli Md Yusof/Asrul Adam): A8, B2, B3, B4, C1, C23.45 – 4 Refreshments4 – 6, 6 Mon.pm2 (Chair: Mohd Ibrahim Shapiai/Maurizio Bevilacqua): D2, D3, D4, F2, F3, F46 – 6.30 Close of Day-1 and Photo opportunity 7 - 9 Conference Dinner, book on EDAS Day-2: Tuesday 10 February 2015 (16 papers)9 – 9.10 (Chair: Al-Dabass/ Zuwairie Ibrahium) Day-2 Opening Session

9.10 – 10.30, 4 Tue.am1 (Chair: Asrul Adam/Maurizio Bevilacqua) F5, F6, J1, J2,10.30 – 10.45 Refreshments 10.45 – 12.45, 6 Tue.am2 (Chair: Zuwairie Ibrahim/Almur Rabih): B1, G1, K3, K7, R1, R2

12.45 – 2 Lunch 2 – 4, 6 Tue.pm1 (Chair: John Baptist Nkwanga/Kamil Azmi): S1, T1, T2, J3, J4, U1

4 – Close of Conference, Photo Opportunity and Refreshments

Day-3: Wednesday 11 February 2015

Social Program/Free Time to explore the history, culture and heritage of Kuala Lumpur and Malaysia

B3: requested on this day. [] = spare time slots

* * *

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Seq # 01-A Intelligent Systems First author Presenters

A1 1570076091 XBee Wireless Blood Pressure Monitoring System with Microsoft Visual Studio Computer Interfacing Thy Ling Wong

A2 1570080027 Application of First-Order Logic Inference in Vietnamese Question Answering System Huy Nguyen

A3 1570080125 Non-Intrusive Human Body Temperature Acquisition and Monitoring System Thy Ling Ling

A4 1570081213 Face Detection-based System to Sense Pedestrians At High Risk of Collision Shinya Saito Saito

A5 1570081453 3D Point Cloud–based Virtual Environment for Safe Testing of Robot Control Programs Hiroshi Hisahara Hisahara

A6 1570081737 Analysis of Effectiveness of Apriori and Frequent Pattern Tree Algorithm in Software Engineering Data Mining Muhammad Asif Asif

A7 1570082791 Distributed Driving System for Coupled Small EV Using Neural Network and Load Cell Takeki Ogitsu Ogitsu

A8 1570082903 Self Tuning Fuzzy Logic Controlling Chopper Operation of Four Quadrants Drive DC Chopper for Low Cost Electric Vehicle Saharul Arof Abdul Kadir

Seq # 02-B Hybrid Intelligent Systems & Hybrid Soft Computing First author Presenters

B1 1570078967 From ICAIET2014. Design of a Petri Net Based Deadlock Prevention Policy Supervisor for S3PR Mowafak Abdul-Hussin Faieza Abdul Aziz

B2 1570081751 Bug Detection Using Particle Swarm Optimization with Search Space Reduction Arun Reungsinkonkarn Reungsinkonkarn

B3 1570083017 An Improved Discrete Firefly and t-Test Based Algorithm for Blind Image Steganalysis DAY-1 Rita Chhikara Chhikara

B4 1570083287 Dendritic Cell Fuzzy Logic Algorithm Over Mobile Ad Hoc Networks Maha Abdelhaq Abdelhaq

Seq # 03-C Methodologies, Tools and Operations Research First author Presenters

C1 1570076029 Integrating Ant Colony System and Ordinal Optimization for Solving Stochastic Job Shop Scheduling Problem Shih-Cheng Horng Horng

C2 1570081755 Data Fusion Strategy for Precise Vehicle Location for Intelligent Self-Aware Maintenance Systems Maurizio Bevilacqua Bevilacqua

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Seq # 04-D Bio-informatics and Bio-Medical Simulation First author Presenters

D1 1570078969

From ICAIET2014, Normal and Fibrotic Cardiac Myocardium Tissue Identified and Reproduced in Anatomically Accurate 3D for Perioperative Usage Alwin Rathinam

D2 1570083165 Responding to Clinical Alarms; a Challenge to Users in ICU/CCU Sasikaladevi T T

D3 1570083239 The Development of Gait Detection and Vibration Stimulus System Dong-Wook Kim Kim; Park

D4 1570083291 Working Memory Impairments Limitations of Normal Children's in Visual Stimuli Using Event-related Potentials Siti Zubaidah MohdTumari Mohd Tumari

No papers in Track E

Seq # 06-F Image, Speech and Signal Processing First author Presenters

F1 1570072651 Progressive Pixel-To-Pixel Evaluation to Obtain the Hard and Smooth Region for Image Compression Nik Shahidah Afifi Md Taujuddin

F2 1570081839 New Features Extraction Based on MRI Brain White Matter and Small Vessel Stroke Predisposition for Neural Network Input Classification Iza Sazanita Isa Isa

F3 1570082091 A Fault Detection Algorithm Using an Adaptive Fading Kalman Filter for Various Types of GNSS Fault Sun Young Kim Kim

F4 1570082417 The Effects of an Eye Massage Device Towards Electrooculography Signals Fatin Afiqa Mansor Mansor

F5 1570082593 Butterworth Bandpass and Stationary Wavelet Transform Filter Comparison for Electroencephalography Signal Syarifah Noor Syakiylla SayedDaud Sayed Daud

F6 1570082927 Cough Sound Analysis for Pneumonia and Asthma Classification in Pediatric Population Yusuf Amrulloh Amrulloh

Seq # 07-G Industry, Business and Management First author Presenters

G1 1570081353 EEG Encryption Scheme with Junk Data Using Chaos Maps Jung-Sook Kim Kim

No papers in Track H

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Seq # 09-J Engineering: Civil, Mechanical, Chemical, Industrial, Manufacturing and Control First author Presenters

J1 1570080005 Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm Kamil Zakwan Mohd Azmi Mohd Azmi

J2 1570082507 Revolutionizing Farming Using Swarm Robotics Anil H H

J3 1570083043 Sensorless Control with Kalman Filter in an Active Engine Mount System Arjon Turni Turnip

J4 1570083399 Numerical Study for Boundary-Layer Flow Past a Full 3D Obstacle Siew Ping Yiiong ?

Seq # 10-K Energy, Power Generation and Distribution First author Presenters

K1 1570081675 Integrated Optimization of Generation and Transmission Expansion Planning Using Decomposition Method Hyoungtae Kim

K2 1570081681 The Strategy Control of Islanded Microgrid Using Battery's State-of-charge Heungseok Lee

K3 1570082083 Synchrophasor Based Oscillatory Mode Source Identification-A Case Study Indian Grid Vaishali Rampurkar Rampurkar

K4 1570082463 Selecting Bilateral Transactions for Minimum Losses in Deregulated Power System – an Assignment Model Approach Bhagyashri Jadhav

K5 1570082821 Transformer's Core Size Optimizaiton Using Genetic Algorithm Abdul ` Janjua

K6 1570083759 Research on the Power Density of the Automatic MPPT Wind Power Generator System Yinru Bai

K7 1570083939 Optimal Voltage Regulation and Profile Control for Maximum Distributed Generation Penetration John Baptist Nkwanga Nkwanga

Seq # 11-L Transport, Logistics, Harbour, Shipping and Marine Simulation First author Presenters

L1 1570082209 Naive Bayes Classifier Based Traffic Prediction System on Cloud Infrastructure SweSwe Aung

No papers in Tracks M

Seq # 13-N Parallel and Distributed Architectures and Systems First author Presenters

N1 1570075781 Design and Implementation of an Uncoupled and Parallelly Actuated Control for the Highly Nonlinear Suspension System of a Maglev Train Demian Moreno

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Seq # 14-P Internet Modelling, Semantic Web and Ontologies First author Presenters

P1 1570082667 Emulation of Software Defined Networks Using Mininet in Different Simulation Environments Faris Keti

Seq # 15-R Mobile/Ad hoc wireless networks, mobicast, sensor placement, target tracking First author Presenters

R1 1570072343 The Performance of RS and RSCC Coded Cooperation Systems Using Higher Order Modulation Schemes Yahya Al-moliki Almwald

R2 1570079453 On Modeling of Wireless MIMO Optical Channel Amin Al-Ka'bi Al-Ka'bi

R3 1570086133 Real Factors Which Impact on Decision Making in E-Government Maky Abdulraheem

R4 1570082181 Practical Vs Simulated Results of ISA100 Physical Layer Abdullah Al-Yami

R5 1570082843 Extracting and Encoding Mutually Sensed Region in Wireless Multimedia Sensor Networks to Remove Redundancy Hasina Attaullah

Seq # 15-S Performance Engineering of Computer & Communication Systems First author Presenters

S1 1570082189 Gain Enhancement of Axial Mode Helical Antenna for UAV Applications Sharif Ozman Shah

Seq # 17-T Circuits, Sensors and Devices First author Presenters

T1 1570080403 FDTD Analysis on Geometrical Parameters of Bimetallic Localized Surface Plasmon Resonance-Based Sensor Fairus Atida Said Said

T2 1570082165 Modelling and Simulation of Polysilicon Piezoresistors in CMOS-MEMS Resonator for Biomarker Detection in Exhaled Breath Almur Rabih Rabih

Seq # 18-U e-Science and e-Systems First author Presenters

U1 1570086133 Real Factors Which Impact on Decision Making in E-Government Maky Abdulraheem Abdulraheem

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List of Published Papers

Seq # Title First author Presenter

1 1570072343

The Performance of RS and RSCC Coded Cooperation Systems Using Higher Order Modulation Schemes Yahya Al-moliki Al-moliki

2 1570072651 Progressive Pixel-To-Pixel Evaluation to Obtain the Hard and Smooth Region for Image Compression Nik Shahidah Afifi MdTaujuddin

3 1570075781

Design and Implementation of an Uncoupled and Parallelly Actuated Control for the Highly Nonlinear Suspension System of a Maglev Train Demian Moreno

4 1570076029

Integrating Ant Colony System and Ordinal Optimization for Solving Stochastic Job Shop Scheduling Problem Shih-Cheng Horng Horng

5 1570076091 XBee Wireless Blood Pressure Monitoring System with Microsoft Visual Studio Computer Interfacing Thy Ling Wong

6 1570078967 Design of a Petri Net Based Deadlock Prevention Policy Supervisor for S3PR Mowafak Abdul-Hussin Faieza Abdul Aziz

7 1570078969

Normal and Fibrotic Cardiac Myocardium Tissue Identified and Reproduced in Anatomically Accurate 3D for Perioperative Usage Alwin Rathinam

8 1570079453 On Modeling of Wireless MIMO Optical Channel Amin Al-Ka'bi Al-Ka'bi

9 1570080005

Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm Kamil Zakwan Mohd Azmi Mohd Azmi

10 1570080027 Application of First-Order Logic Inference in Vietnamese Question Answering System Huy Nguyen

11 1570080125 Non-Intrusive Human Body Temperature Acquisition and Monitoring System Thy Ling Ling

12 1570080403

FDTD Analysis on Geometrical Parameters of Bimetallic Localized Surface Plasmon Resonance-Based Sensor Fairus Atida Said Said

13 1570081213 Face Detection-based System to Sense Pedestrians At High Risk of Collision Shinya Saito Saito

14 1570081353 EEG Encryption Scheme with Junk Data Using Chaos Maps Jung-Sook Kim Kim

15 1570081453 3D Point Cloud–based Virtual Environment for Safe Testing of Robot Control Programs Hiroshi Hisahara Hisahara

16 1570081675

Integrated Optimization of Generation and Transmission Expansion Planning Using Decomposition Method Hyoungtae Kim

17 1570081681 The Strategy Control of Islanded Microgrid Using Battery's State-of-charge Heungseok Lee

18 1570081737

Analysis of Effectiveness of Apriori and Frequent Pattern Tree Algorithm in Software Engineering Data Mining Muhammad Asif

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19 1570081751 Bug Detection Using Particle Swarm Optimization with Search Space Reduction Arun Reungsinkonkarn Reungsinkonkarn

20 1570081755 Data Fusion Strategy for Precise Vehicle Location for Intelligent Self-Aware Maintenance Systems Maurizio Bevilacqua Bevilacqua

21 1570081839

New Features Extraction Based on MRI Brain White Matter and Small Vessel Stroke Predisposition for Neural Network Input Classification Iza Sazanita Isa Isa

22 1570082083 Synchrophasor Based Oscillatory Mode Source Identification-A Case Study Indian Grid Vaishali Rampurkar Rampurkar

23 1570082091 A Fault Detection Algorithm Using an Adaptive Fading Kalman Filter for Various Types of GNSS Fault Sun Young Kim Kim

24 1570082165

Modelling and Simulation of Polysilicon Piezoresistors in CMOS-MEMS Resonator for Biomarker Detection in Exhaled Breath Almur Rabih Rabih

25 1570082181 Practical Vs Simulated Results of ISA100 Physical Layer Abdullah Al-Yami

26 1570082189 Gain Enhancement of Axial Mode Helical Antenna for UAV Applications Sharif Ozman Shah

27 1570082209 Naive Bayes Classifier Based Traffic Prediction System on Cloud Infrastructure Swe Aung

28 1570082417 The Effects of an Eye Massage Device Towards Electrooculography Signals Fatin Afiqa Mansor Mansor

29 1570082463

Selecting Bilateral Transactions for Minimum Losses in Deregulated Power System – an Assignment Model Approach Bhagyashri Jadhav

30 1570082507 Revolutionizing Farming Using Swarm Robotics Nikhil K s H, K s

31 1570082593

Butterworth Bandpass and Stationary Wavelet Transform Filter Comparison for Electroencephalography Signal Syarifah Noor SyakiyllaSayed Daud Sayed Daud

32 1570082667 Emulation of Software Defined Networks Using Mininet in Different Simulation Environments Faris Keti

33 1570082791 Distributed Driving System for Coupled Small EV Using Neural Network and Load Cell Takeki Ogitsu Ogitsu

34 1570082821 Transformer's Core Size Optimizaiton Using Genetic Algorithm Abdul ` Janjua

35 1570082843

Extracting and Encoding Mutually Sensed Region in Wireless Multimedia Sensor Networks to Remove Redundancy Hasina Attaullah

36 1570082903

Self Tuning Fuzzy Logic Controlling Chopper Operation of Four Quadrants Drive DC Chopper for Low Cost Electric Vehicle Saharul Arof Abdul Kadir

37 1570082927 Cough Sound Analysis for Pneumonia and Asthma Classification in Pediatric Population Yusuf Amrulloh Amrulloh

38 1570083017 An Improved Discrete Firefly and t-Test Based Algorithm for Blind Image Steganalysis Rita Chhikara Chhikara

39 1570083043 Sensorless Control with Kalman Filter in an Active Engine Mount System Arjon Turni Turnip

40 1570083165 Responding to Clinical Alarms; a Challenge to Users in ICU/CCU Sasikaladevi T T

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41 1570083239 The Development of Gait Detection and Vibration Stimulus System Dong-Wook Kim Kim

42 1570083287 Dendritic Cell Fuzzy Logic Algorithm Over Mobile Ad Hoc Networks Maha Abdelhaq Abdelhaq

43 1570083291

Working Memory Impairments Limitations of Normal Children's in Visual Stimuli Using Event-related Potentials Siti Zubaidah Mohd Tumari Mohd Tumari

44 1570083399 Numerical Study for Boundary-Layer Flow Past a Full 3D Obstacle Siew Ping Yiiong Siew Ping Yiiong

45 1570083759 Research on the Power Density of the Automatic MPPT Wind Power Generator System Yinru Bai

46 1570083939 Optimal Voltage Regulation and Profile Control for Maximum Distributed Generation Penetration John Baptist Nkwanga Nkwanga

47 1570086133 Real Factors Which Impact on Decision Making in E-Government Maky Abdulraheem Abdulraheem

48 1570086133 Real Factors Which Impact on Decision Making in E-Government Maky Abdulraheem

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ISMS2015, 9 – 11 February 2015, Kuala Lumpur, Malaysia

Time Session

Monday, February 9

08:30 AM Mon.am1: Keynote Speaker 10:30 AM Mon.am2: Intelligent Systems 01:45 PM Mon.pm1: Intelligent, Hybrid Intelligent Systems and Methodologies, Tools etc 04:00 PM Mon.pm2: Bio- Informatics & Medical Simulation and Image, Speech & Signal Processing

Tuesday, February 10

09:00 AM Tue.am1: Image, Speech/Signal Processing and Engineering 10:45 AM Tue.am2: Industry, Energy and Mobile/Ad hoc wireless networks etc 02:00 PM Tue.pm1: Performance Engineering and Circuits, Sensors/Device etc.

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Monday, February 9, 8:30 AM - 10:15 AM, Mon.am1: Keynote Speaker

Chairs: David Al-Dabass (Nottingham Trent University, United Kingdom), Zuwairie Ibrahim (University of Technology Malaysia, Malaysia)

A Model-driven Approach for Time-energy Performance of Parallel Applications

Yong Meng TEO

Department of Computer Science National University of Singapore Email: teoym@comp.nus.edu.sg

url: www.comp.nus.edu.sg/~teoym

Traditionally, time performance is one of the key concerns in running parallel applications. However, the advent of data centres increases the availability of systems with diverse performance-to-power ratios. These heterogeneous systems consist of hardware including high-performance processors, low-power servers, GPU accelerators, and storage and network resources with different performance. As a consequence, the very large system configuration space introduces new opportunities and complexity for users to run parallel applications efficiently.

This keynote discusses a new model-driven approach to determine time-energy efficient configurations for executing applications on heterogeneous systems. By modelling the workload service demands on cores, memory and I/O devices of a node, we obtain the energy-efficient mix of nodes that services a job while maintaining a service time deadline. We show that there is a range of “sweet spots” or Pareto-optimal configurations for executing an application within an energy budget and a given execution time deadline.

This keynote is divided into three main parts. First, we review the challenges that users and data center providers faced in achieving time and energy efficient parallel application execution. Secondly, we introduce our model-driven approach and the formulation of the mix-and-match execution time model. As an example, we discuss the application of our approach on a heterogeneous system consisting of AMD brawny nodes and ARM wimpy nodes with typical data centre workloads including web-hosting, multimedia streaming, financial analysis, real-time speech recognition and TLS/SSL key encryption. In addition, we investigated a number of research questions including is heterogeneity better than homogeneity, are larger mixes of heterogeneous nodes better, among others. Lastly, we highlight new opportunities in modeling time-energy performance such as in cloud computing.

13 Biography TEO Yong Meng is an Associate Professor of Computer Science at the National University of Singapore. He was a Visiting Professor at the Shanghai Advanced Research Institute, Chinese Academy of Science, China from 2010-2013. He received his PhD in Computer Science from the University of Manchester. Over the past twenty years, his research focused on parallel and distributed systems and applications. In the last five years, he has been focusing on the performance of parallel systems, cloud computing, and emergent properties in complex systems. A paper, co-authored with his PhD student, on time-based semantic validation won the ACM SIGSIM Best PhD Student Paper Award in 2009. Another paper on strategy-proof dynamic pricing of cloud computing resources won the Best Paper Award at the 10th International Conference on Algorithms and Architectures for Parallel Processing in 2010. He leads the Computer Systems Research Laboratory at School of Computing. He also served as Advisor (Director’s Office) on Large-Scale Computing Systems, Asia-Pacific Science and Technology Centre, Sun Microsystems Inc. from 2007-2008, and External Grant Evaluator, European Research Council (Ideas Specific Program) from 2008-2013. He has received numerous external research grants including European Commission, Fujitsu Computers (Singapore) Pte Ltd, Fujitsu Laboratories Ltd (Japan), Sun Microsystems/Oracle (USA), Nvidia, and PSA Corporation (Singapore) among other institutions. References 1. L. Ramapantulu, D. Loghin and Y.M. Teo, An Approach for Energy Efficient Execution of Hybrid Parallel Programs, Proceedings of 29th IEEE

International Parallel & Distributed Processing Symposium, Hyderabad, India, May 25-29, 2015. 2. L. Ramapantulu, B.M. Tudor, D. Loghin, T. Vu and Y.M. Teo, Modeling the Energy Efficiency of Heterogeneous Clusters, Proceedings of 43rd

International Conference on Parallel Processing, pp 321-330, Minneapolis, USA, Sep 9-12, 2014. 3. B.M. Tudor, Parallelism-energy Performance Analysis of Multicore Systems, PhD Thesis, Department of Computer Science, National University of

Singapore, (advisor: Yong MengTEO), Jan 2014. 4. B.M. Tudor and Y.M. Teo, Towards Modelling Parallelism and Energy Performance of Multicore Systems, Proceedings of the 26th IEEE International

Parallel & Distributed Processing Symposium, PhD Forum Best Poster Award, Shanghai, China, May 21-25, 2012.

14 Monday, February 9, 10:30 AM - 12:30 PM, Mon.am2: Intelligent Systems Chairs: Kamil Zakwan Mohd Azmi (Universiti Malaysia Pahang, Malaysia), Rita Chhikara (ITM University, India)

10:30 XBee Wireless Blood Pressure Monitoring System with Microsoft Visual Studio Computer Interfacing Thy Ling (UCTS, Malaysia); Lim Jin Wong and Ee Hung Jocelyn Tan (Kolej Laila Taib, Malaysia); Lee Cosmas (UCTS, Malaysia) Technological developments of wireless devices and systems also can be found in medical field. Wireless technology in medical field has become readily apparent.This paper is to propose a blood pressure device with wireless system that link to computer and recorded the reading automatically. So, an automate blood pressure device will used in this project and XBee is choose to be wireless connection of the blood pressure device to the computer. Two XBee will be used in this project, one is transmit and another one is receive the data. Each XBee will connect to a microcontroller with PIC build inside to process the reading get from the blood pressure device. Once the reading is received, an interface that created by using Visual Basic will record the reading into a database and show the result to the users.

10:50 Non-Intrusive Human Body Temperature Acquisition and Monitoring System Thy Ling (UCTS, Malaysia); Lim Jin Wong and Ee Hung Jocelyn Tan (Kolej Laila Taib, Malaysia); Kiu Kwong Yao (University College Technology Sarawak, Malaysia) Patient health monitoring is a common thing done by doctors to monitor their patients' health. The most crucial reading monitored by doctors is the patient's read time body temperature. Unfortunately, current system used by doctors required them to see patients face to face, and the doctors will have to walk door to door to check the patient's temperature. "The Non-Intrusive Human Body Temperature Acquisition and Measurement System" is a one-off health system to monitor the patient's temperature by using computer. The aim of developing this system is to provide body temperature measurement without being intrusive and uncomfortable. It also processes less threat to the doctor when testing patient's body temperature because diseases have chance to infect the doctor. This system is also convenient for patient measure body temperature. This is because it can be installed or mounted on the wall.

11:10 Face Detection-based System to Sense Pedestrians At High Risk of Collision Shinya Saito and Yuki Ishii (Tokyo University of Science, Japan); Takeki Ogitsu (Tokyo University of Science & Faculty of Science and Technology, Japan); Hiroshi Mizoguchi (Tokyo University of Science, Japan) In this study, we propose a novel system that assesses pedestrians at high risk of collision and accordingly warns the driver of the vehicle. Numerous warning systems to prevent contact accidents between pedestrians and vehicles have recently been proposed. One desideratum of warning systems that prevalent systems lack is that they should only warn the driver about pedestrians that are at high risk of collision with the vehicle. To develop such a system, we focus on detecting pedestrian's faces. Pedestrians not looking at the vehicle are then determined to be at high risk of collision based on the face detection feature. We verified the effectiveness of our recognition system using video sequences captured by an in-vehicle camera.

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11:30 3D Point Cloud–based Virtual Environment for Safe Testing of Robot Control Programs Hiroshi Hisahara, Yuki Chin and Seigen Hane (Tokyo University of Science, Japan); Takeki Ogitsu (Tokyo University of Science & Faculty of Science and Technology, Japan); Hiroshi Takemura (Noda Tus, Japan); Hiroshi Mizoguchi (Tokyo University of Science, Japan) We use point cloud data obtained from multiple Kinect v2 sensors for building a virtual environment. The coordinate systems of the point clouds obtained from the sensors are unified using the ICP algorithm. Then, a 3D model of the virtual environment consisting of color and shape information of the real environment is generated using Kinect Fusion. Finally, based on the 3D model, the virtual environment is built using the robot simulator. Experiments are conducted to compare the measurement range of the virtual environment that has been reproduced using a single Kinect v2 sensor and four Kinect v2 sensors. Moreover, we calculate the correlation coefficients of the images obtained by a camera sensor in the virtual environment and those obtained by a camera sensor in the real environment. The results show that the measurement range is expanded, and the images of the virtual environment and the real environment exhibit high similarity.

11:50 Analysis of Effectiveness of Apriori and Frequent Pattern Tree Algorithm in Software Engineering Data Mining Muhammad Asif (BIIT, Pmas & BIIT, Pmas, Pakistan) Development of software is a very crucial and complex process.IT professionals have been facing difficulties and risks for the development of software projects.This research focuses on the effectiveness of two data mining algorithms that are Apriori algorithm and FP-Tree Algorithm in Software Engineering domain.These two algorithms have shown the capability of generating association rules in software engineering data. Associations between software risk factors and risk mitigation have been found using these algorithms which is a unique idea.Both the algorithms have different methodologies but with the same goals in the form of rules generation. This research paper is targeting three things.Firstly,Tracing of these two algorithms has been applied to the given dataset.Secondly,Comparison in terms of pros and cons of both the algorithms has been examined.Thirdly, in the combination of these two, novel adaptive architecture has been suggested.Embedding data mining techniques in software engineering have shown spark and generates fruitful results.

12:10 Distributed Driving System for Coupled Small EV Using Neural Network and Load Cell Takeki Ogitsu (Tokyo University of Science & Faculty of Science and Technology, Japan); Tokunosuke Ikegami (Tokyo University of Science, Japan); Shin Kato(The National Institute of Advanced Industrial Science and Technology, Japan); Hiroshi Mizoguchi (Tokyo University of Science, Japan) Japan is facing difficulties with providing general public transport systems in depopulated cities. This paper proposes a new means of transport for application to such cities. The system is based on small electric vehicles with mechanical couplers that are designed to attach to devices installed at each home. Unfortunately, this system incurs an issue of enhancing the operability for drivers of the coupled EVs. Therefore, this study set out to develop a distributed driving system that ensures that a group of vehicles maintains the same driving characteristics as those of a single vehicle, regardless of the number of coupled vehicles. This system suppresses fluctuations in the driving characteristics by means of online learning by the vehicle model using a neural network, based on feedback control using a force gauge. This paper describes the details of this system and evaluation experiments using two small EVs.

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Monday, February 9, 1:45 PM - 3:45 PM, Mon.pm1: Intelligent, Hybrid Intelligent Systems and Methodologies, Tools etc Chairs: Zulkifli Md Yusof (Universiti Teknologi Malaysia, Malaysia), Asrul Adam (University of Malaya & Applied Control and Robotics Laboratory, Malaysia)

1:45 Self Tuning Fuzzy Logic Controlling Chopper Operation of Four Quadrants Drive DC Chopper for Low Cost Electric Vehicle Saharul Arof (Universiti Kuala Lumpur - Malaysian Spain Institute, Malaysia); Muhd Khairulzaman Abdul Kadir (Universiti Kuala Lumpur, Malaysia); Julaida Jalil(Universiti Kuala Lumpur Malaysian Spanish Institute, Malaysia); Philips Mawby (University of Warwick, United Kingdom); Hamzah Aroff (Universiti Malaya, Malaysia) DC drive system for traction are always powered by separately excited and series dc motor controlled by four quadrants dc chopper. However, the operation modes of the conventional H-Bridge four quadrants drive dc chopper for series motor are limited to driving and regenerative braking (only with the presence of residual magnetism), with no capability of reverse operation. Hence, a new Four Quadrants dc drive chopper for series motor in EV's application, optimized by Artificial Intelligence is developed. This paper further describes the application of Self Tuning Fuzzy Logic for controlling chopper operation of the proposed Four Quadrants dc drive chopper. The right mode of operation will guarantee optimum consumption of the battery power, thus provide longer distance traversed.

2:05 Bug Detection Using Particle Swarm Optimization with Search Space Reduction Arun Reungsinkonkarn (Assumption University, Thailand); Paskorn Apirukvorapinit (Thai-Nichi Institute of Technology, Thailand) A bug detection tool is an important tool in software engineering. There are certain semantic bugs that are not easy to detect. A bug can occur from incorrect logic that when a program is executed with a particular input, the program will behave in unexpected ways. This paper proposes a method and tool for bugs detection by finding input that causes an unexpected output guided by fitness function. The method uses a Hierarchical Similarity Measurement Model to help create the fitness function to examine a program behavior. Its tool uses PSO with Search Space Reduction (SSR) to manipulate input by contracting and eliminating unfavorable areas of input search space. The experiment were selected from four different domains; financial, decision support system, algorithms and machine learning. The result shows a significant percentage of success rate up to 93% in bug detection, compared to an estimated success rate of 28% without SSR.

2:25 An Improved Discrete Firefly and t-Test Based Algorithm for Blind Image Steganalysis Rita Chhikara (ITM University, India) Feature Selection is a preprocessing technique with great significance in data mining applications that aims at reducing computational complexity and increase predictive capability of a learning system. This paper presents a new hybrid feature selection algorithm based on Discrete Firefly optimization technique with dynamic alpha and gamma parameters and t-test filter technique to improve detect-ability of hidden message for Blind Image Steganalysis. The experiments are conducted on important dataset of feature vectors extracted from frequency domain like Discrete Cosine Transformation and Discrete Wavelet Transformation domain of images. The results from popular JPEG steganography algorithms nsF5, Outguess, PQ and JP Hide and Seek show that proposed method is able to identify sensitive features and reduce the feature set by 67% in DCT domain and 37% in DWT domain. The experiment analysis shows that these algorithms are most sensitive to Markov features from DCT domain and variance statistical moment from DWT domain.

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2:45 Dendritic Cell Fuzzy Logic Algorithm Over Mobile Ad Hoc Networks Maha Abdelhaq (UKM, Malaysia); Raed Alsaqour (National University of Malaysia, Malaysia); Mahamod Ismail (Universiti Kebangsaan Malaysia, Malaysia);Shawkat Abdelhaq (Indiana Wesleyan University, Malaysia) A mobile ad hoc network (MANET) is an open wireless network of mobile, decentralized, and self-organized nodes with limited energy and bandwidth resources. The MANET environment is vulnerable to dangerous attacks, such as flooding-based attacks, which paralyze the functionality of the whole network. This paper introduces a hybrid intelligent algorithm, which can meet the challenge of protecting MANET with effective security and network performance. This objective is fulfilled by inspiring the abstract anomaly detection of dendritic cells (DCs) in the human immune system and the accurate decision-making functionality of fuzzy logic theory to introduce a dendritic Cell Fuzzy Algorithm (DCFA). DCFA combines the relevant features of danger theory-based AISs and fuzzy logic theory-based systems. DCFA is verified using QualNet v5.0.2 to detect resource consumption attack. The results show the efficient capability of DCFA to perform the detection operation with high network and security performance.

3:05 Integrating Ant Colony System and Ordinal Optimization for Solving Stochastic Job Shop Scheduling Problem Shih-Cheng Horng (Chaoyang University of Technology, Taiwan); Shieh-Shing Lin (St. John's University, Taiwan) The stochastic job shop scheduling problem (SJSSP) is a kind of stochastic programming problem which transformed from job shop scheduling problem. The SJSSP is an NP-hard problem. In this work, a method that integrates the ant colony system (ACS) and ordinal optimization (OO), abbreviated as ACSOO, is proposed to efficiently solve the SJSSP. The ACSOO utilizes the advantage of multi-directional search in ACS and goal softening in OO. First, the SJSSP is formulated as a constraint stochastic simulation optimization problem. Next, the ACSOO is proposed to find a good enough schedule for minimizing the makespan using limited computation time. Finally, the proposed approach is applied to a SJSSP comprising 6 jobs on 6 machines with random processing time in truncated normal, uniform, and exponential distributions. Test results demonstrate that the obtaining good enough schedule is successful in the aspects of solution quality and computational efficiency.

3:25 Data Fusion Strategy for Precise Vehicle Location for Intelligent Self-Aware Maintenance Systems Maurizio Bevilacqua, Antonios Tsourdos, A Starr and I Durazo-Cardenas (Cranfield University, United Kingdom) Nowadays careful measurement applications are handed over to Wired and Wireless Sensor Network. Taking the scenario of train location as an example, this would lead to an increase in uncertainty about position related to sensors with long acquisition times like Balises, RFID and Transponders along the track. We take into account the data without any synchronization protocols, for increase the accuracy and reduce the uncertainty after the data fusion algorithms. The case studies, we have analysed, derived from the needs of the project partners: train localization, head of an auger in the drilling sector localization and the location of containers of radioactive material waste in a reprocessing nuclear plant. They have the necessity to plan the maintenance operations of their infrastructure basing through architecture that taking input from the sensors, which are localization and diagnosis, maps and cost, to optimize the cost effectiveness and reduce the time of operation.

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Monday, February 9, 4:00 PM - 6:00 PM, Mon.pm2: Bio- Informatics & Medical Simulation and Image, Speech & Signal Processing Chairs: Mohd Ibrahim Shapiai (Universiti Teknologi Malaysia, Malaysia), Maurizio Bevilacqua (Cranfield University, United Kingdom)

4:00 Responding to Clinical Alarms; a Challenge to Users in ICU/CCU Sasikaladevi T (University of Plymouth & Medical Device Authority, Malaysia); Emmanuel Ifeachor and Judy Edworthy (University of Plymouth, United Kingdom);Jasmy Yunus (University of Technology Malaysia, Malaysia); Karuthan Chinna (University of Malaya, Malaysia); Zuwairie Ibrahim (University of Technology Malaysia, Malaysia) Clinical alarm plays a critical role to alert clinician to situations that require urgent response. However, alarms are ignored or switched off. The objective of the study is to identify user response , propose response time and recommendation to improve user response. A survey was carried out in Malaysia with 324 clinicians, 279(86.1%) were registered nurses and medical assistants (MA) and 45(13.9%) were medical doctors. The findings shows that 16.0% of the respondents switch off the alarm, 20.4% silence the alarm, 14.5% delayed to respond and 20% ignored the alarm. The findings indicates 78.1% of the respondent recommended less than 10sec for 'immediate respond' for high risk alarm, 72.5% recommended less than 60sec for 'prompt respond' for medium risk alarms and 43.2% recommended delayed respond for low risk alarm should not be specified. The incorporation response time based on risk in the design of alarm can improve user alarm respond.

4:20 The Development of Gait Detection and Vibration Stimulus System Dong-Wook Kim and Min Hwa Park (Chonbuk National University, Korea) Gait is a voluntary movement that requires interactions between sensory, muscular and central nerve systems. Therefore, gait disorder may improve by using the external stimulus on sensory system. However, there have not been many studies on biomechanical changes of gait, a dynamic posture of body, when a somatosensory stimulation is applied. Gait experiment was performed to validate this hardware in actual situation with 3-dimentional motion analysis and gait analysis. The results showed changed ground reaction force and angle of joint, which was considered that local somatosensory stimulation gave immediate feedback and changed the characteristics of gait during the gait. The study used a real-time analysis of patient's movement and external stimulation applied at proper timing and its results would be usefully applied in patients who requires gait guidance and have gait abnormality due to lack of balance for rehabilitation.

4:40 Working Memory Impairments Limitations of Normal Children's in Visual Stimuli Using Event-related Potentials Siti Zubaidah Mohd Tumari (Universiti Teknologi Malaysia & Faculty of Electrical Engineering, Malaysia); Rubita Sudirman (Universiti Teknologi Malaysia, Malaysia) This study emphases to investigate the working memory impairments limitations of normal children's in visual stimuli assessments using Event-related Potentials (ERPs) signal. 97 children aged between 7 to 12 years old were subjected to a two-phase computer based assessment while their working memory activity was concurrently recorded using Electroencephalograph (EEG) 9200 machine at the prefrontal cortex. EEG signals were segmented and averaged into the event of stimulus to obtain the ERPs pattern. In neurophysiology research, ERP component at P300 will forms the visual responsiveness to detect the cognitive processes. P300 component is decomposed using Discrete Wavelet Transform (DWT) with Daubechies (db4) at 7th level decomposition. In conclusion, visual stimuli assessment brings up a dissimilar in P300 pattern between two-phases. The mean performance shows that, the younger children tend to working memory impaired rather than older children.

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5:00 New Features Extraction Based on MRI Brain White Matter and Small Vessel Stroke Predisposition for Neural Network Input Classification Iza Sazanita Isa (Universiti Teknologi Mara, Malaysia); Siti Noraini Sulaiman (Universiti Teknologi MARA, Malaysia); Muzaimi Mustapha (Universiti Sains Malaysia, Malaysia) This paper provides a summary of current imaging and processing technique on MRI. This review is focusing on white matter (WM) of brain since it has higher correlation to small vessel stroke occurrence. In other word, the assessment of white matter disease may be valuable in predicting future risk of stroke. Hence the proposed work for this study is focusing on WM features extraction from MRI images by using image processing technique includes noise removal or filtering. In medical image processing, poor image quality will result in poor feature extraction outcome which may lead to non-effective analysis, recognition and quantitative measurements. Therefore, pre-processing steps for noise elimination is a must for medical images processing as well as image segmentation. All the outcomes from image processing technique will be proposed to serve as attributes for classifier networks. Hence classification performance is evaluated for its accuracy, sensitivity and specificity.

5:20 A Fault Detection Algorithm Using an Adaptive Fading Kalman Filter for Various Types of GNSS Fault Sun Young Kim, Chang Ho Kang and Chan Gook Park (Seoul National University, Korea) In this paper, a fault detection algorithm using an adaptive fading Kalman filter is introduced to detect various types of GNSS fault signal. In order to detect GNSS fault signal, the fading factor of the filter is used as a detection parameter. In simulations, the types of fault signal are represented by the ramp bias error and random bias error of the pseudorange, respectively. The change of the fading factor value according to bias error is used to compare with the detection threshold. In addition, the value of the fading factor is applied to adjust the Kalman gain and the effect of fault signal is mitigated by controlling the Kalman gain of the filter. To verify the performance of the proposed algorithm, two simple simulations are implemented. Through the results of simulation, we confirmed that the proposed algorithm works well when various types of GNSS fault signal exist.

5:40 The Effects of an Eye Massage Device Towards Electrooculography Signals Fatin Afiqa Mansor and Rubita Sudirman (Universiti Teknologi Malaysia, Malaysia) Electrooculography signal is a bio-signal potential instrument obtained by an EOG acquisition device. The signals were divided into vertical and horizontal signals according to the channel and the placement of electrodes respectively. This paper investigates the differences in absolute mean values of the EOG signals before and after using an eye massage device based on four EOG tests designed. The first test conducted is relaxing and blinking which is useful in distinguishing between the actual EOG signals and signal artifacts. Secondly, smooth tracking allows us to to track slow and distant moving object. Thirdly, eye movement detection is controlled via reflexes which linked to the detecting vestibular system. Lastly, saccades occurs when the subject reading a paragraph. Based on the results, for relaxing and blinking, smooth tracking, eye movement detection and saccades, the values of confidence level obtained by using t-test statistical method were 97.8%, 99.9%, 99.7%, and 100% respectively.

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Tuesday, February 10, 9:00 AM - 10:30 AM, Tue.am1: Image, Speech/Signal Processing and Engineering

Chairs: Asrul Adam (University of Malaya & Applied Control and Robotics Laboratory, Malaysia), Maurizio Bevilacqua (Cranfield University, United Kingdom)

9:00 Butterworth Bandpass and Stationary Wavelet Transform Filter Comparison for Electroencephalography Signal Syarifah Noor Syakiylla Sayed Daud and Rubita Sudirman (Universiti Teknologi Malaysia, Malaysia) Electroencephalography (EEG) is a non-invasive process that record and capture brain signal. Raw EEG signal contaminated with a lot of noise such as power line interference, muscle movement and eye blinking. Removing this types of noise can produce a clean signal. The noise that contaminated with EEG signal will affect the actual result during analyzing stage. This paper aims to shows the comparison when EEG signal filter with 4th order Butterworth Bandpass and stationary wavelet transform (SWT). Two parameters are used to compare the effect of filter on EEG signal; that are mean square error (MSE) and peak-to-noise ratio (PSNR). The result shows that the stationary wavelet transform is more effective in removing the noise without losing the original information.

9:20 Cough Sound Analysis for Pneumonia and Asthma Classification in Pediatric Population Yusuf Amrulloh (Universitas Islam Indonesia, Indonesia); Udantha Abeyratne and Vinayak Swarnkar (The University of Queensland, Australia); Rina Triasih(Universitas Gadjah Mada, Indonesia) Cough is one of the major symptoms of pneumonia and asthma. Past studies showed the acoustic of cough sound may carry important information related with the diseases. However, there were no attempts to use cough sounds to separate pediatric pneumonia and asthma. In this study, we propose a cough sound analysis based method to differentiate pneumonia from asthma. The method extracted sound features such as Mel-frequency cepstral coefficients, non-Gaussianity score and Shannon entropy. The features were used to develop artificial neural network classifiers. Tested using leave one out validation technique in eighteen subjects, our method achieved sensitivity, specificity and Kappa of 89%, 100%, and 0.89 respectively. The results show the potential of our method to be developed as an alternative for bronchodilator test in the resource limited-settings.

9:40 Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm Kamil Zakwan Mohd Azmi (Universiti Malaysia Pahang, Malaysia); Shahdan Sudin and Sophan Wahyudi Nawawi (Universiti Teknologi Malaysia, Malaysia); Dwi Pebrianti (FKEE, University Malaysia Pahang, Malaysia); Zuwairie Ibrahim (Universiti Malaysia Pahang, Malaysia) System identification is a technique used to obtain a mathematical model of a system by performing analysis of input-output characteristic of the system. Most significant steps of system identification process are generally summarized into four main stages. The initial stage is collection of experimental data. After that, the model order and structure are selected. The next stage is to approximate the parameters of the model and finally, the mathematical model will be validated. In this paper, a technique termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is specifically based on Gravitational Search Algorithm (GSA) is proposed to combine model order selection and parameter estimation in one stage. Both the model order and the parameters of the system are estimated simultaneously to attain the best mathematical model of a system. From the simulation, it is prove that the proposed method can be alternative technique for solving system identification problem.

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10:00 Revolutionizing Farming Using Swarm Robotics Anil H, Nikhil K s, Gurusharan B s and Chaitra V (Visvesvaraya Technological University, India) Swarm robotics is a diligence of swarm intelligence, it deals with natural and artificial systems in an environment composed of many individuals that co-ordinate using decentralized control to perform a certain task or work towards a common goal in the presence of a coordinator. Incorporating this system of robots for revolutionizing the process of farming is one of the major breakthroughs in this generation of robotics. This paper mainly deals with application of this completely autonomous system in scouting, furrowing, providing water, harvesting etc. This system is implemented by reducing the constraints of cost and power consumption, hence diluting the amount of hardware required for its implementation without compromising the quality of service. Also proposes a simple operation mechanism for high efficiency and simple communication protocol to ensure fast intermediate data exchange. Lastly, throws light on the future challenges faced and its application of the same structure in various fields.

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Tuesday, February 10, 10:45 AM - 12:45 PM, Tue.am2: Industry, Energy and Mobile/Ad hoc wireless networks etc Chairs: Zuwairie Ibrahim (University of Technology Malaysia, Malaysia), Almur Abdelkreem Saeed Rabih (Universiti Teknologi PETRONAS (UTP), Malaysia)

10:45 Design of a Petri Net Based Deadlock Prevention Policy Supervisor for S3PR Mowafak Hassan Abdul-Hussin (University of Technology, Baghdad & Central Technical Information’s & Communications, Iraq) In the paper siphons can be to characterize, deadlock states to solve the deadlock problem in a class Petri nets that are represented model of flexible manufacturing systems. We are focuses on the problem of deadlocks in flexible manufacturing systems (FMS). Based on Petri nets, a deadlock prevention policy is proposed for a special class of Petri nets called System of Simple Sequential Processes with Resources (S3PR) and the deadlock prevention problems can be characterized in terms of Petri net structural elements called siphons. A deadlock prevention policy is proposed based on Petri nets siphons for the type of Petri nets. Deadlock analysis and control techniques based on the structural theory of Petri nets purpose to finding a relationship between liveness of a net and its structure depend of the concepts of elementary and dependent siphons. The siphon control has been application in a Petri net by adding a control place for each elementary siphon to make decidedly that it is deadlock-free

11:05 EEG Encryption Scheme with Junk Data Using Chaos Maps Jung-Sook Kim (Kimpo College, Korea) Gradually increasing the value of the technology, the techniques of the various security systems to protect the core technology have been developed. The proposed security scheme, which uses both a password and the various devices, is always open by malicious user. In order to solve that problem, the biometric authentication systems are introduced but they have a problem which is the secondary damage to the user. So, the authentication methods using EEG (Electroencephalography) signals were developed. However, the size of EEG signals is big and it causes a lot of problems for the real-time authentication. And the encryption scheme is necessary. In this paper, we proposed an efficient encryption scheme with junk data using chaos map on the EEG signals for person authentication in real-time

11:25 Synchrophasor Based Oscillatory Mode Source Identification-A Case Study Indian Grid Vaishali D Rampurkar (Veermata Jijabai Technological Institute (VJTI), India); P Pentayya (General Manager, India); Faruk Kazi (VJTI, India); Harivittal Mangalvedekar (VJTI-Mumbai University, India) Power grid is one of the complex networks and is subjected to disturbances which manifest in the form of oscillations in system. The presence of unstable oscillations in the system sustained for a longer time period may disrupt the grid operation. Thus monitoring and detecting unstable oscillations is necessary for reliable, stable and secure operation of the system. Identifying the source of these oscillatory modes is also necessary in-order to damp them. This paper reports a case study of an event leading to loss of generation in the Northern Region of the Indian power grid and identifying the source of oscillations using measurement based methods. With the availability of synchrophasor measurements the ability to locate the source of the disturbance by performing modal analysis in real time will help the grid operator to take quicker actions for stable operation of power system.

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11:45 Optimal Voltage Regulation and Profile Control for Maximum Distributed Generation Penetration John Baptist Nkwanga and Naoto Kakimoto (Ibaraki University, Japan) Significant increase in the adoption of intermittent, inertia-less distributed generation technologies has begun to pose noteworthy challenges to the operation of the conventional grid, and hence this necessitates a more active approach to control of equipment in the distribution layer, especially in high-penetration cases. In this paper, a voltage droop control scheme applied to a back-to-back converter architecture is proposed. The control objectives are to regulate secondary circuit/feeder voltage, internal dc-link voltage and feed-in current so as to maximize active power penetration and to maintain an optimal voltage profile. The converters and their controllers are designed and modeled as a stage in cascade with a typical benchmark LV feeder, and simulated using MATLAB. Based on the simulated cases, it is observed that this concept can be applied as a means of increasing the maximum permissible active power penetration, with optimal voltage profile, in the LV reticulation.

12:05 The Performance of RS and RSCC Coded Cooperation Systems Using Higher Order Modulation Schemes Yahya Al-moliki (King Saud University, Saudi Arabia); Gamal Almwald (University of Malaya, Yemen); Maged Aldhaeebi (king Saud Universtiy, Saudi Arabia);Maher Shaobi (University of Malaya, Yemen) Recently, a cooperative communication technique called coded cooperation is presented. The cooperation in this method is performed by way of channel coding as a substitute for a direct relay or repetition. In a multi-user environment, more than one single antenna mobiles cooperate in virtual MIMO system to accomplish transmit diversity while supporting the same information rate and transmission power. Concatenated Reed Solomon and convolutional codes, RSCC, are effective channel codes to reduce the noise. So they have been employed by some wireless communication standards such as IEEE 802.16e WiMAX. In this letter, we compare the performance of RSCC, concatenated codes, coded cooperation to RS, codes without concatenation, coded cooperation in terms of bit error rate with various SNR and Doppler shift values utilizing higher order modulation techniques. We adopt the structure of physical layer specifications of IEEE 802.16e WiMAX.

12:25 On Modeling of Wireless MIMO Optical Channel Amin Al-Ka'bi (Australian College of Kuwait, Kuwait) This paper is mainly a presentation and a literature review of signaling and coding strategies used for the pixelated wireless optical MIMO channels, where the potential of this channel topology to achieve high spectral efficiencies is demonstrated to be a space-time channel capable of achieving high spectral efficiencies using available coding techniques. For systems in which the orthographic projection assumption holds‚ it is expected that the capacity of the system will be highly dependent on the range between transmitter and receiver. As the range increases‚ the spatial frequency response of the link drops. In this paper, the special discrete multi-tone (SDMT) modulation technique is considered, and an estimate of the capacity of a given channel realization is provided by way of the waterfall spectrum.

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Tuesday, February 10, 2:00 PM - 4:00 PM, Tue.pm1: Performance Engineering and Circuits, Sensors/Device etc. Chairs: John Baptist Nkwanga (Ibaraki University, Japan), Kamil Zakwan Mohd Azmi (Universiti Malaysia Pahang, Malaysia)

2:00 Gain Enhancement of Axial Mode Helical Antenna for UAV Applications Sharif Ozman (Sia Pacific University of Technology and Innovation, Malaysia); Ajmal Hussain Shah (Asia Pacific University of Technology and Innovation & Faculty of Computing, Engineering and Technology, Malaysia); Sardar Ali (Asia Pacific University & IIUM, Malaysia); Sathish Selvaperumal and Veeraiyah Thangasamy(Asia Pacific University of Technology and Innovation, Malaysia) The Unmanned Aerial Vehicle (UAV) technology has seen substantial growth in the last two decades. Helical antennas play vital role in establishing reliable communication in UAV applications. In this paper, an axial mode helical antenna for unmanned aerial vehicle (UAV) applications is proposed. The antenna is simulated and the performance analysis is presented. The antenna with 3 turns and a pitch angle of 14° has attained significantly improved results. The antenna has a VSWR lower than 1.5. The return loss of -14.69 dB is observed with an enhancement of 33.5%, and a gain of 9.51 dB with 8% improvement is observed. Moreover, the improved results were achieved with the reduced size of the ground plane. The results satisfy the requirements in establishing the reliable communication in UAV applications

2:20 FDTD Analysis on Geometrical Parameters of Bimetallic Localized Surface Plasmon Resonance-Based Sensor Fairus Atida Said (National University of Malaysia, Malaysia); P. Susthitha Menon (Universiti Kebangsaan Malaysia, Malaysia) The localized surface plasmon resonance (LSPR) properties are numerically analyzed using finite-difference time domain (FDTD) method, which is a reliable technique in solving Maxwell's equations in dispersive medium. Optical properties and LSPR characteristics were analyzed with Titanium Nitride (TiN) as an adhesion layer at gold(Au)/silver(Ag) interface. The reflection spectra of bimetallic layer nano-holes was compared with various metallic layer thicknesses of Au and Ag, hole radii and lattice period. When compared between single and bimetallic Ag/TiN/Au nano-hole layers, it showed that the layer with 70nm-thick Ag/5nm-thick TiN/50nm-thick Au gave greater LSPR-based sensor performance with narrower plasmonic line width and better full width at half maximum (FWHM). Change in geometrical parameters affected the sensitivity and detection accuracy of the sensor.

2:40 Modelling and Simulation of Polysilicon Piezoresistors in CMOS-MEMS Resonator for Biomarker Detection in Exhaled Breath Almur Abdelkreem Saeed Rabih (Universiti Teknologi PETRONAS (UTP), Malaysia); John Ojur Dennis and Mohd Haris Md Khir (Universiti Teknologi PETRONAS, Malaysia); Mawahib Gafare Ahmed (University Technology PETRONAS, Malaysia); Abdelaziz Yousif Ahmed (Universiti Teknologi PETRONAS, Malaysia) this paper studies longitudinal and transverse polysilicon resistors deposited in the maximum stress points of a CMOS-MEMS resonator for mass detection. The longitudinally mounted resistors were found to increase with the stress and giving maximum of resistance change of 10 to 23 ohm when the actuation voltage was varied from 50 to 180 V, while the transverse resistors were found to decrease from 0.8 to 0.4 ohm for the given voltages. Possible Wheatstone bridge configurations were studied to get the maximum output voltage, which was found to be 14 mV when two equal longitudinal resistors are connected with two equal external resistors to form a half bridge configuration

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3:00 Sensorless Control with Kalman Filter in an Active Engine Mount System Arjon Turnip, Grace Gita Redhyka and Hariyadi MT (Indonesian Institute of Sciences, Indonesia) The attenuation of engine vibration transmitted to the chassis has been the major concern of the automotive community to increase the comfort of driver and passengers. An active engine mount (AEM) system presented in this paper reduces the transmission of engine vibration to the chassis and the noises in the passenger cabin, besides supporting the static load by an engine weight. To accomplish this goal, a feed forward control algorithm will be employed in the currently developed AEM system. The engine mount system developed up to date uses sensors to measure the current states of engine vibration. However, it is expensive to use sensors in the engine mount system. The Kalman filter has a good dynamic behavior, and it can work even in a discontinuous position. A procedure for selecting an optimal integral gain will be proposed, and the proposed estimator will be compared to the well-known passivity-based state estimator.

3:20 Numerical Study for Boundary-Layer Flow Past a Full 3D Obstacle Siew Ping Yiiong (Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia); Jane Labadin (Universiti Malaysia Sarawak, Malaysia) This paper presents a scenario study towards building a simulation of high Reynolds number fluid flow passing a 3D obstacle with the aim of understanding the airflow structures involved as the obstacle gets steeper. The motivation for the development of this simulation originates from the study of atmospheric boundary layer flow around a tall building. A numerical result is obtained by taking into account the atmosphere boundary layer using reduced Navier-Stokes equations. Two general shapes of distribution of skin-friction are studied, (i) smooth edges and rounded top and (ii) smooth edges with flat top. Our results show that in order to get the numerical result, there must be a restriction on the size of the obstacle with certain critical height for flow separation; the critical height for separation is found to be related to the edge lengthscale. Also, the flow reattachment point is noticed after the flow separates.

3:40 Real Factors Which Impact on Decision Making in E-Government Maky H Abdulraheem (University Utara Malaysia, Malaysia); Shafiz Affendi Mohd. Yusof (Universiti Utara Malaysia, Malaysia) Computerising all the data and information, this is called Electronic government or e-government. Acceleration of governments to build e-government which contribute to serve the citizens also the activation of public policies. however, there are two important keys in e-government; the decision making process, and make the citizens the main nucleus for the participation in e-government and especially in decision making and give the citizens the freedom of expression of opinion. These complex concepts, both the researchers and developers work on improve and use best ways to develop decision making process. this paper discusses three main points; decision making techniques used in e-government, relation of citizens with decision making and the effects on success of e-government, and challenges which face decision making in e-government. This study aims to help future researches on decision making and put the major points under light of the researchers.