Organizing
committee
Patron
Assoc. Prof. Dr Yusof Md Salleh
Dean, Faculty of EE, UiTM
General Chair
Prof. Dr Mohd Nasir Taib
Secretary I
Mohd Hezri Fazalul Rahiman
Secretary II
Rozita Jailani
Finance Chair/ Sponsorship Chair
Zuriati Janin
Technical Program Chair
Assoc. Prof. Dr. Ramli Adnan
Technical Program Co-Chair
Assoc. Prof. Nooritawati Md. Tahir
Local Arrangement Chair / Registration Chair
Ruhizan Liza Ahmad Shauri
Publication Chair
Mohd Faidz Hj. Mohd Said
Publicity Chair / Web Manager
Ahmad Ihsan Mohd Yassin
IEEE Representative
Dr. Zuhaina Zakaria
Administration
Hamidah Mohd Nasir
Programs
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Day 1: |
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Hotel check-in |
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Conference registration @ Hotel lobby |
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Dinner @ Sunflower Brasserie |
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Day 2: |
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Breakfast @ Sunflower Brasserie |
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Welcoming address @ Tiara 1 |
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Parallel session A1 and B1 |
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Tea break @ Tiara Foyer |
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Parallel session A2 and B2 |
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Lunch @ Sunflower Brasserie |
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Parallel session A3, B3 & C3 |
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Tea break @ Tiara Foyer |
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Parallel session A4, B4 & C4 |
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Dinner @ Sunflower Brasserie |
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Day 3: |
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Breakfast @ Sunflower Brasserie |
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Panel session A5, B5 & C5 |
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Coffee break @ Tiara Foyer |
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Panel session A6, B6 & C6 |
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Lunch @ Sunflower Brasserie |
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Check-out |
Parallel
session A1 - DAY 1 –
Time:
Venue:
Room Tiara 1
Parallel
session A2 -- DAY 1 –
Time:
Venue:
Room Tiara 1
Parallel
session A3- DAY 1 –
Time:
Venue:
Room Tiara 1
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A3.01 #A888 On A
Generalized Efficient Heart Sound Classifier System For Diagnosing Heart
Disorders Prashant Kumar and Kishan Kumar Venkatesan |
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A3.02 # A816 Domestic Solid Waste Sorting Using Vision Sensor Hema C. R, Paulraj M. P,
Sazali Yaacob, Abdul Hamid Adom, Nagarajan R., D. Maheswaran, and R. Jaii Ganes |
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A3.03 # A815
Stereo Vision System For Assistive Smart Wheelchair Hema C.R, Paulraj M.P, Abdul Hamid Adom, Sazali Yaacob, Nagarajan R. and Mohamad Sulaiman Ibrahim |
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A3.04 # A842 Translation
of Sign Language to Voice Signal through Head and Hand Gestures Recognition Paulraj M P, Hazry Desa,
Hema C.R., Mohd Hafiz Fazalul Rahiman,
M. Hariharan and Wan Mohd Ridzuan Wan Ab Majid |
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A3.05 #A866 A Practical Approach For Human Motion Understanding Altahir
A. Altahir, Vijanth S. Asirvadam and Patrick Sebastian |
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A3.06 #A826 ASTHRA “An Automated Robotic Vehicle
for the Disabled patients using Embedded Systems” Natarajan R and Dinesh
Singh J. |
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A3.07 #A930 Operational
Space Dynamic Control of the Redundant Manipulator Using Power Module Jeong-Soo
Kim, Sang-Wook Jeon, Jae-Ho Oh and Doo-Sung Ahn |
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A3.08 #A976 Motion
Coordination of Multi Agent Robots using Feedback Control Salman Ahmed and Mohd N. Karsiti. |
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A3.09 # A885 Efficient Hardware
Realization for Discrete Pascal Transform Using Matrix Factorization Narison Ronnarongrit,
Sorawat Chivapreecha and Kobchai Dejhan |
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A3.10 # A952 FPGA
Design of Boyer-Moore Algorithm for Spyware Detection Mohd. Yamani Idna Idris, Emran Mohd. Tamil,
Madihah Mohd Saudi and Wong Lim Chien |
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A3.11 #A814 Biometric Verification using Brain Signatures Hema C.R, Paulraj M.P, Abdul Hamid Adom, Sazali Yaacob, Nagarajan R. and Harkirenjit Kaur |
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Q&A session |
Parallel
session A4 - DAY 1 –
Time:
Venue:
Room Tiara 1
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A4.1 # A882 Study of the Gate-Induced Drain Leakage Current on
N-MOSFETS N. Soin and C. L. Yan |
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4.50 pm- |
A4.2 # A852 Designing a
Digital Display Panel for Motorized N.Sulaiman and M.R.Mohamed,
K.Amat |
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A4.03 # A953 Review of Low Power Bandgap Voltage Reference for
CMOS Mixed Signal Process Asmah Truky, Norhayati Soin
and Sairan Sakrani |
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A4.04 # A963 Study the
Effect of Drain Induced Barrier Lowering (DIBL) on P-Type MOSFET Device Hashimah
Hashim, Ahmad Sabirin Zoolfakar, and
M.H.F.M. Safaia |
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A4.05 # A977 Feedforward
Multilayer Perceptron Supervised Learning for ISFET Sensor Arrays Wan Fazlida Hanim Abdullah
and Masuri Othman |
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A4.06 # A954 Review of Lithium-ion battery
charger system and Electrostatic Discharge (ESD) safety devices. Khairi Bin Omar, Norhayati
Soin, Wan Nor Liza Mahadi and Sairan Sakrani |
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Q&A session |
Parallel
session B1 - DAY 1 –
Time:
Venue: Room Tiara 3
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B1.01 # A831 Design of
Low-Power Field Programmable Analog Array based on OTA in 0.35 mM CMOS Technology Rajendra Kanphade , Dr. M.
Shojaei-Baghini, Manish Patil, Priti Gawande, Nitin Ingole and,
Manisha Chhangani |
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B1.02 # A990 Reduction Of Crosstalk By Adding
Grounded Tracks On Printed Circuit Board Ahmed Alferjani and Ahmed
Elbarsha |
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B1.03 # A827 An Efficient Rate Scalable Technique For Image
Coding and Transmission N.B. Chopade, A. A. Ghatol, and Dr.Babasaheb
Ambedkar |
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B1.04 # A942 Object
Recognition Using Correlation Technique Sangeeta Kakarwal, Shubhangi Sapkal, Pradeep Ahire
and Dr. D.S. Bormane |
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B1.05 # A966 Parking
Guidance System using RFID and Image Processing Techniques in WSN Environment
Mohd Yamani Idna Idris, Yong Yoke Leng, Emran
Mohd. Tamil and Nor Zaidi Haron |
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B1.06 # A985 Novel Face
Recognition Method Using Bit-Wise Images in Neural Network D.B.L. Bong and K.C. Ting |
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B1.07
# A906 An Effective Method for License Plate
Characters Segmentation Marwan D. Saleh, Hakim
Mellah, Ahmed Mueen and Nbhan D. Salih |
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B1.08
# A805 Shadow Removing Using Contourlet_based
Image Fusion Shirin Mahmoudi |
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B1.09
# A873 Image Processing of a Banana: Area Determination via Edge Detection
Using MATLAB Syed Khaleel Ahmed,
Aidil Azwin Zainul Abidin,
Zaipatimah Ali, Wong Bing Yit, and Zainul Abidin Md Sharrif |
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B1.10 # A822 Fourier
Descriptor for Human Shape Recognition Nooritawati Md Tahir, Aini
Hussain, |
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B1.11 # A949 Hand Gesture
Recognition using Rotation Invariant Ratika Pradhan , Prateem
Chakraborty, Prashant Sarawgi, Ankit Mehrotra, and Gaurav Agarwal |
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Q&A session |
Parallel
session B2-DAY 1 –
Time:
Venue:
Room Tiara 3
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B2.01 # A848 Algorithm
Research on Wavelet Support Vector Machine Lin Jipeng
and Liu Junhua |
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B2.02 #A817 Particle Swarm
Neural Network Based Classification of EEG Mental Tasks Hema C.R., Paulraj M.P, Sazali Yaacob, Abdul Hamid Adom and Nagarajan R. |
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B2.03 # A810 JSA Based Job shop scheduling Optimization P.V Senthiil and V.Selladurai |
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B2.04 #A944 HOS-Based Non-Minimum Phase MA Parameter Estimation
using Genetic Algorithm M.Lankarany, M.H.Savoji |
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B2.05# A993 Parallel Algorithm for Blind Source Separation Ibrahim Elimam Abdalla,
Abubakr Elsidig Mirghani El Hussien, Othman Khalifa and ,Aisha Hassan |
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B2.06 # A964 Map
Route Extraction and Shortest Path Algorithm for Public Transport Information
System Mohd Yamani Idna Idris, Emran Mohd
Tamil, Noorzaily Mohamed Noor, and Zaidi Razak |
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B2.07 # A974 Sample Rate Converter from CD to DAT
Using Truncated Lagrange Interpolation Aseim Najem and Ahmed Elbarsha |
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B2.08 # A862 CDMA Coverage and Capacity Optimization Puneet Kumar and Ankit Dua |
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B2.09 # A975 Multiple
Regression Approach for Inputs Selection in Electricity Consumption
Forecasting Dedy Purwanto and Herman Agustiawan |
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B2.10 # A945 Deconvolution of non-Minimum Phase FIR Systems Using Recursive
Genetic Algorithm M.Lankarany and M.H.Savoji |
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B2.11 # A820 Model Order Selection Criterion for
dengue infections using Autoregressive Model H. Abdul Rahim, F. Ibrahim,
and M. N. Taib |
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Q&A session |
Parallel
session B3 - DAY 1 –
Time:
Venue:
Room Tiara 2
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B3.01 # A968 An
Overview of Dual Band Antennafor WLAN Application
Mohammad Tariqul Islam, Tan Yee Mun, Chan Yee Kit and Norbahiah Misran |
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B3.02 # A825 Capacity and Performance Analysis of MIMO systems
with Receive Antenna Selection A. S. Hiwale1,A. A. Ghatol, Dr. Babasaheb
Ambedkar |
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B3.03 # A924 Using an Enhanced Antenna Positioning System for
Performance Analysis of MANET J. A. Guma, N. M. Saad |
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B3.04 # A863 Rf
Regulatory System Puneet Kumar & Ankit
Dua |
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B3.05 #A969 High Gain Microstrip Patch Antenna Using
Multiple Slot Mohammad Tariqul Islam, |
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B3.06 # A821 Nonlinear Autoregressive Modeling to Diagnose the
Progression of Dengue Infection Based On Hemoglobin H. Abdul Rahim, F. Ibrahim
and M. N. Taib |
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B3.07 # A851 Digitally Compensated 4-20 mA Pressure Transmitter Sidney F. Da Luz , Rodrigo Reina Muńoz, Jorge Ramirez , Edgar Charry,
Jaime Lasso V. and Edgar Charry R. |
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B3.08 # A978 Early Tests of Low Cost and Simple
Optical Tomography Based on a Non-Invasive Detection Margi Sasono
and Hariyadi Soetedjo |
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B3.09 # A935 Wavelet
Based Real Time Ventricular Arrhythmia Detection and Classification System Komal Moazzam Dar, Yasir Mubeen Dar and Fahad Moazzam Dar |
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B3.10 # A818 Ultrasonic
Process Tomography Imaging Sensor: An Analysis on Transceivers Sensing Method M.H. Fazalul Rahiman1,
Z. Zakaria1, R. Abdul Rahim |
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B3.11 # A808 Realizing a Digital FIR
Filter using Xilinx FPGA Technology Abdul Hadi Abdul Razak and Mohd Faizul Idros |
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Q&A session |
Parallel
session B4- DAY 1 –
Time:
Venue:
Room Tiara 2
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B4.01 # A819 Characterization of Pharmaceutical Film using
Microwave
Non-Destructive Testing Technique Nor Khaizan Anuar, Mohd
Nasir Taib, Wong Tin Wui, and Deepak K. Ghodgaonkar |
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4.50 pm- |
B4.02 # A998 A Study on
Near Infrared Characteristics in Optical Tomography Application Mazidah Tajjudin and Wong
Jenn Woei |
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B4.03 # A981 Integrated
Gas Sensor Based On Infrared Absorption For Monitoring Indoor Air Quality Marianah Masrie, Anuar Ahmad, Ruslan Rolon and Ramli |
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B4.04 # A986 Contingency
Monitoring and Voltage Collapse Estimation for Iraqi National Super Grid
System Lokman H. Hassan, Haider A.
F. Mohamed, M. Moghavvemi, and S. S. Yang |
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B4.05 # A999 Online
Solid Flow Monitoring Using PIC16F873 Microcontroller Mazidah Tajjudin, Nazmy
Mahadzir, and Mohd. Hezri Fazalul Rahiman |
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B4.06 # A997 Muhammad@Yusoff Ibrahim |
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Q&A session |
Parallel
session C3 - DAY 1 –
Time:
Venue:
Room Tiara 3
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C3.01 # A987 Small
Signal Voltage Stability Analysis for Iraqi National Super Grid System Haider A. F. Mohamed, Lokman
H. Hassan, M. Moghavvemi, Norazlan Hashim, and S. S. Yang |
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C3.02 # A956 Sound Generated During the Compaction of Alumina
Reinforced Aluminum Powders Al Emran Ismail |
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C3.03 # A813 Performance
Assessment of Hybrid Compression Schemes for Multispectral and Hyperspectral
Data R R. Sedamkar,
Bijith Marakarkandy and O. P. Jain |
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C3.04 # A889 Microstepping Drives Approaches to Improve Machine
Carriage/Conveyor Movement A.Irawan, M. F. Abas, H.Hazha
and N.H.Nordin |
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C3.05 # A922 Development of
Low Cost RFID Door Access System Rajparthiban Kumar, Aravind
CV and Jeyaraj Savarinayagam |
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C3.06 # A918 Modelling and Control of a Quadrotor
Unmanned Air Vehicle Atheer L. Salih, Haider A.
F. Mohamed, M. Moghavvemi, and S. S. Yang |
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C3.07 # A919 Backstepping
Controller Design for a Quadrotor Unmanned Air Vehicle Haider A. F.
Mohamed, Atheer L. Salih, and M. Moghavvemi |
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C3.08 # A989 Model Based Sensor Fault Tolerant
Control For Uncertain Temperature Control Systems S.S. Yang, Ernie Che Mid,
Haider A.F. Mohamed, M. Moghavvemi |
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C3.09 # A840 Trajectory-Adaptive Zero-Phase Error-Tracking
Control With Advanced Learning Scheme Ramli Adnan, Mohd Marzuki Mustafa and
Abd Manan Samad |
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Q&A session |
Parallel
session C4- DAY 1 –
Time:
Venue:
Room Tiara 3
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C4.01 # A961 Chip Design for Jawi Features Extraction and Recognition Using
Discrete Wavelet Transform and K-Mismatch Algorithm Zaidi Razak, Nurulhuda Abd Ghani,
Emran Mohd Tamil, Mohd Yamani Idna Idris, Noorzaily Mohamed Noor and Mohd.
Yakub @ Zulkifli Bin Mohd Yusoff |
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4.50 pm- |
C4.02 # A967 Implementation
and Optimization of Digital Baseband Signal Processing Functions on DSP
Processor Roslina Mohamad, Nuzli
Mohamad Anas, Wan Nor Syafizan, Rosmalini and Kaharudin Dimyati |
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C4.03 # A972 Study of
Harmonic Distortion in Loudspeaker Fault Detection Paulraj M P, Sazali Yaacob, R. Badlishah Ahmad, M. Hariharan, Mohamad Radzi Saad and Mohd
Hafiz Fazalul Rahiman |
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C4.04 # A899 Evaluating
and Adapting Non-Native Speech in Isolated Speech Recognizer Noraini Seman, Siti Salwa Salleh And Naimah Mohd Hussin |
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C4.05 # A988 Voice
Operated Module for Car Accessories Interfacing Via Speech Recognition Haider A. F. Mohamed, S. S.
Yang, M. Moghavvemi, and Ernie Che Mid |
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C4.05 # A700 Classification Of Electricity Demands Based On Fuzzy
Clustering Z Zakaria, M H Sohod, N Md Tahir |
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Q&A session |
Parallel
session A5 - DAY 2 –
Time:
Venue:
Room Tiara 1
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A5.01 # A900 AIRSAR PACRIM’ Program: Its Application
For Environmental and Land Cover Mapping Abd. Manan Samad , Sharifah
Norashikin Bohari, Ismail Maarof and Khairil Afendy Hashim . |
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A5.02 # A867 Investigation of Ambiguity Resolution for Single and
Dual Frequency Relative Positioning Norsuzila Ya’acob, Mardina Abdullah and Mahamod Ismail |
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A5.03 # A806 Influence of Statistical Information Criteria to
One-Step-Ahead Prediction Error Mohd Hezri Fazalul Rahiman,
Mohd Nasir Taib and |
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A5.04 # A807 Evaluation of Optimized NNARX Structure in Modeling
of Steam Distillation Essential Oil Extraction System Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib and |
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A5.05 # A995 Hybrid Color Image Segmentation
Algorithm Azilah Saparon and Sasni Ismail |
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A5.06
# A844 Implementation Of Repetitive Control Algorithm In Reducing Vibration
Using MATLAB/Simulink Nor Salwa Damanhuri and Jari Hatonen |
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A5.07
# A884 Performance Comparison of LQR and PID
Controller for a Ball-beam System A.N.K. Nasir,
M.A. Ahmad and N. Hambali |
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A5.08 # A869 Attitude Control of Small Satellites with Reaction Wheels Zuliana Ismail, Rizal
Zahari, and Renuganth Varatharajoo |
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A5.09 # A872 Producing Bipolar SPWM Signal Using Low Cost
Microcontroller M. F. Abas,
A.Irawan, and N.M.Saad |
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A5.10 # A839 Real-Time Digital Tracking Control of
Hydraulic Cylinder Ruhizan
Liza Ahmad Shauri, Ramli Adnan and Mohd Marzuki Mustafa |
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A5.11 #A996 An
Observer Design Of Nonlinear Quarter Car Model For Active Suspension System Using
Sliding Mode Control (SMC) Adizul Ahmad, Siti Alawiyah
Ismail, Norlela Ishak, Abdul Hadi Abdul Razak and |
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A5.12 # A809 WiMAX – Solution for BWA and Confirms to IEEE 802.16
Standard Muhamad Radzi Abdul Rahman and Kamaruddin Mamat |
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A5.13 #A984 Symptoms and signs in dengue patients utilizing the self organizing
map Tarig Faisal, Fatimah Ibrahim, Mohd Nasir Taib |
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Q&A session |
Parallel
session B5 - DAY 2 –
Time:
Venue:
Room Tiara 2
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B5.01 # A910 Keystroke Pressure-Based Typing Biometrics Authentication System
Using ANN and SVM-Based Classifiers Hasimah Ali, Momoh J. E.
Salami, Wahyudi and Mohamad
Arinal |
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B5.02 # A803 Charaterization of Wireless Communication Channel in
the HF Frequency Band Zaiton Sharif, Ahmad Zuri Sha’ameri and Fadzliana
Saad |
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B5.03 # A982 Analysis of the Execution Time for Point-to-Point
Communication Operations in a Cluster-based Parallel System Mohamed Faidz Mohamed Said,
Mohd Nasir Taib and Saadiah Yahya |
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B5.04 # A983 MPI Overlap Performance Results in a Beowulf Cluster Mohamed Faidz Mohamed Said, Mohd Nasir Taib and Saadiah Yahya |
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B5.05 # A845 Estimation of Paulraj M P, Fadzilah Hashim, R. Badlishah Ahmad and M.
Hariharan |
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B5.06
# A923 Development
of a Rescue Robot Moey LK, Aravind CV,
Rajparthiban R andLoh Kin Yan |
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B5.07
# A979 Dynamic
Modelling of a Two-link Flexible Manipulator M. A. Ahmad1, Z. Mohamed2 and A. N. K.
Nasir |
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B5.08 # A992 An Automatic Rice Dispenser System Using
Microcontroller A. Zabidi, W. Mansor, A. Mohamed |
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B5.09 # A841 Feature
Extraction Based On Energy Features from Frequency Response of the Vocal Tract
Model Using Bandwidth Approach Paulraj M.P., |
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B5.10 # A994 Freeman
Chain Code Generation For Shape Boundary Representation Farah Yasmin Abdul Rahman,
Aini Hussain and |
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B5.11 #A 908 Khor Siak Wang and Fatimah Ahmad |
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B5.12 # A903 An Optimal Boundary Decomposition for Shape Based Image Retrieval N. D. Salih, Rosli Besar and F. S. Abas |
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B5.13 # A811 Detection
of Fractured Bones in X-ray Images Using Image Segmentation Y. Zakariah and A.J. Nor’aini |
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Q&A session |
Parallel
session C5 - DAY 2 –
Time:
Venue:
Room Tiara 3
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C5.01 # A951 Comparison
of Brain Wave Signals between Electrical Engineering Students and Sport
Science Students of Universiti Teknologi MARA Using EEG Zunairah Haji Murat, Mohd
Nasir Taib, Zodie Mohamed Hanafiah, Ros Shilawani S. Abdul Kadir and Husna
Abdul Rahman |
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C5.02 # A868 Universal Infrared Receiver For PC’s Media Player Z.Abdul Halim and Y.H.Ying |
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C5.03 # A929 Performance Study of Biomedical Signal
Transmission with Wireless Discontinuous Transmission Mode Md. Shahidul Islam, Rosli Bin Besar and
Mohammad Tariqul Islam |
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C5.04 # A880 Application
of Taguchi Method in the Optimization of RF-Low Noise Amplifier Design
Parameters S.F. Wan Muhamad Hatta, N.Soin |
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C5.05 # A933 Design and Modeling for Revolute
Control of USBM Simplified Model Mohd Syakirin Ramli, Reza
Ezuan Samin, Mohd Razali Daud and Mohd Ashraf Ahmad |
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C5.06
# A871 The
Development of an Inexpensive Portable Potentiostat Z. Abdul Halim, O.Sidek and
M.Ravichandran |
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C5.07
# A812 Implementation
of Fuzzy Logic Controller for Digital Pendulum Afaf
Rozan Mohd Radzo and Kamarul Azlan Bin Azman |
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C5.08 # A893 A New Approach in Solving Class Scheduling Problems Using Particle Swarm Optimization Mohd Azri and Mohd Nasir Taib |
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C5.09 # A833 Adaptive
Predictive Fuzzy Logic Attitude Control R. Nagarajan, Paulraj M P , Sazali Yaacob, Zaridah Mat Zain, Warren Soh Kay Hoh and Ahmad Sabirin Arshad |
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C5.10 # A837 A Novel Motion Sensing Algorithm for Motion-Based
Mobile Phone Interface Kok Chen LIM,
Yoong Choon CHANG and Tse Kian NEO |
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C5.11 # A894 PSO
with Guided Local Search in Determining the Arrangement of Event for Class
Scheduling Problems Mohd Azri and Mohd Nasir Taib |
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C5.12 # A991 Initial
Investigation of Brainwave Synchronization after Horizontal Rotation
Intervention Using EEG Zunairah Haji Murat, Mohd Nasir Taib, Zodie Hanafiah, Ros Shilawani S. Abdul Kadir and Husna Abdul Rahman |
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Q&A session |
Abstracts
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CSPA803 |
Charaterization of Wireless Communication Channel in the
HF Frequency Band Zaiton
Sharif, Ahmad Zuri Sha’ameri and Fadzliana Saad Digital Signal Processing Lab, Fakulti Kejuruteraan
Elektrik, Universiti
Teknologi The estimation of channel impulse response (CIR) and
the channel frequency response (CFR) are performed using a cross correlation
method. Three different types of input
signals are used for this purpose.
There are Phase Shift Keying (PSK), Quadrature Phase Shift Keying
(QPSK) and Linear FM signal (LFM). Both
PSK and QPSK are modulated based on pseudo random sequence. A specific parameter of sampling frequency,
data bit rate and sequence length are chosen for this purpose. All of signals are subjected to various
gain of random noise (White Gaussian noise) generated. Then, the CIR and the CFR are respectively
estimated based on the correlation functions.
These signals are chosen due to their auto correlation characteristic
that approaches an impulse function.
Since the input-output relationship in time is a convolution between
the auto correlation of input and CIR, the cross correlation between output
and input signal is the estimate of the CIR.
The FFT of the CIR gives the CFR.
The estimation of CIR and CFR of these signals, with a given delay and
subjected to AWGN will be compared with their respective desired values using
a statistical method called mean square error (MSE). The relationship between SNR and MSE of
these signals gives an indication on the robustness of these signals with
respect to noise. |
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CSPA805 |
Shadow Removing using Contourlet-based
Image Fusion Shirin
Mahmoudi Computer
Group, Engineering Department, Azad
University – Islamshahr branch, Islamshahr, The fusion of high-spectral but low-spatial
resolution multispectral and low-spectral but high spatial resolution
panchromatic satellite images is a very useful technique in various
applications of remote sensing, such as change detection. Recently, some
studies showed that wavelet-based image fusion method provides high quality
of the spectral content of the fused image. However, most of wavelet-based
methods have a spatial resolution of the fused result less than the Brovey,
IHS, and PCA fusion methods. However, wavelet transform could not efficiently
represent the singularity of linear/curve of the images. In this paper, we
introduce a new method based on the contourlet transform which represents
edges better than wavelets and remove the shadows of images. Since edges play
a fundamental role in image understanding, one good way to enhance spatial
resolution is to enhance the edges. So, we could find an automatic threshold
for discarding the weak edges of panchromatic satellite images using
information measure and then strong edges were fused in multi-spectral
images. We test the proposed approach on IRS satellite images and compared
our results with wavelet transform and IHS ones. |
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CSPA806 |
Influence
of Statistical Information Criteria to One-Step-Ahead Prediction Error Mohd Hezri
Fazalul Rahiman, Mohd Nasir Taib and Faculty of
Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, MALAYSIA. This paper investigates the influence of popular
statistical information criteria to one-step-ahead prediction (1-SAP) error
of an ARX black-box model. The criteria investigated are the Akaike
Information Criteria (AIC), Akaike Final Prediction Error (FPE) and
Rissanen’s Minimum Description Length (MDL). The investigation will be based
on Pseudo-Random Binary Sequences (PRBS) data collected from an electrically
heated steam distillation essential oil extraction system. The data is the
steam temperature measured within the distillation column beneath the
material bed. By using MATLAB System Identification Toolbox, an ARX model
will be estimated and validated. Prior to model validation, all the
information criteria will be examined and the criteria that suggested the
most flexible model shall be selected for future works. The linear regression
will be minimized by using Levenberg-Marquardt algorithm. Evaluation of model
performance will be based on both graphical and statistical approaches such
as R2, adjusted-R2, residual
distribution, mean and variance. The results have shown that the selected
model based on MDL criterion is more parsimonious and flexible as compared to
the others. |
|
CSPA808 |
Realizing a Digital FIR Filter using Xilinx
FPGA Technology Abdul Hadi Abdul Razak and Mohd Faizul Idros Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor,
MALAYSIA. In this day and age compression of data in digital signal
processing is a necessity. Compression formats such as MPEG, JPEG, MP3 and
others are widely used in mass media and computer technology. Usually compressions of data are being
developed using computer software, and RISC processor in a decoder. In every
format of compression data, Digital Finite Impulse response filter is use as
one of the main process in data compression including audio, image and video
compression. This paper describes the design of Transposed
Form FIR filter implemented in the Spartan-II and Virtex-E family of FPGAs.
The design is an 8-tap filter based on 16-bit input samples and 14-bit signed
coefficients. The basic building blocks of the filter are KCMs, Adders,
Registers, and a delay-locked loop. All the 14-bit coefficient factors are
stored with an 18-bit word size in the |
|
CSPA809 |
WiMAX
– Solution for BWA and Confirms to IEEE 802.16 Standard Muhamad
Radzi Abdul Rahman and Kamaruddin Mamat Faculty of
Information Technology and Quantitative Sciences, Universiti Teknologi MARA, 40450 Shah Alam, MALAYSIA. WiMAX is a wireless digital communications system,
also known as IEEE 802.16 that is intended for wireless "metropolitan
area networks". WiMAX can provide broadband wireless access (BWA) up to 30
miles (50 km) for fixed stations, and 3 - 10 miles (5 - 15 km) for mobile
stations. In contrast, the WiFi/802.11 wireless local area network standard
is limited in most cases to only 100 - 300 feet (30 - 100m). With WiMAX, data
rates are easily supported, but the issue of interference is lessened. WiMAX
operates on both licensed and non-licensed frequencies, providing a regulated
environment and viable economic model for wireless carriers. WiMAX can be
used for wireless networking in much the same way as the more common Wi-Fi
protocol. WiMAX is a second-generation protocol that allows for more
efficient bandwidth use, interference avoidance, and is intended to allow
higher data rates over longer distances. This paper investigates the
possibilities of using WiMAX as a solution for BWA and confirms to IEEE
802.16 Standard. The IEEE 802.16 standard defines the technical features of
the communications protocol. The WiMAX
Forum offers a means of testing
manufacturer's equipment for compatibility, as well as an industry group
dedicated to fostering the development and commercialization of the
technology. |
|
CSPA810 |
JSA based Job Shop Scheduling
Optimization P.V Senthiil 1 , V. Selladurai 2 1 Assistant
Professor, Department of Mechanical Engineering, 2 Professor,
Department of Mechanical Engineering, Timely and cost effective production is becoming
increasingly important in today’s global competitive market. The key problem
faced by today’s manufacturing industries is feasible allocation of various
jobs to available resources i.e. processors. This problem can be outwitted by
a proper scheduling technique, adopted by industries. A typical job shop
scheduling problem has a set of jobs to be processed in a set of processors,
with certain constraints and objective functions to be achieved. The most
commonly considered objectives are the minimization of make span (Cmax),
minimization of tardiness (T) which leads to minimization of late penalty cost,
and to maximize machine utilization. Machine shop scheduling can be done
using various techniques like standard dispatching rules, heuristic
techniques like Simulated annealing, Tabu Search, Genetic algorithm, etc. In this article a
typical job shop scheduling problem is solved using algorithmic simulated
annealing (SA) technique, a heuristic search algorithm. SA is a generic
neighborhood search algorithm used to locate optimal solution very nearer to
a global optimal solution. As a part of this article, a software based
program is developed in VB platform and realistic test instances were
performed. Experimental results obtained were further tuned by varying input
job parameters and optimal results were obtained. |
|
CSPA811 |
Detection of Fractured Bones in X-ray
Images using Image Segmentation Y. Zakariah, A.J. Nor’aini Faculty of Electrical Engineering, Universiti
Teknologi MARA, 40450 Shah Alam, MALAYSIA. Fractured bones are common affliction. Each year
many fractures are missed during x-ray diagnosis, resulting in
ineffective patient management and expensive litigation. The use
of computers has helped make computation work significantly faster, more
efficient, and with high accuracy. Since bone fracture can occur in many
ways, no one single algorithm can detect all the possible fractures
accurately. In this paper a method of detecting fractures especially for hair
line fracture is presented. Image processing technique involves image
segmentation that includes threshold and edge
detection using canny edge detector. It also involves filtering using median
filters. The basic processing techniques such as intensity transformation and
intensity manipulation are also used. Ten samples of x-ray images were used
for this purpose. Experiment performed shows that the method is
capable of accurately segmenting fracture as well as capable to enhance the
resolution of the fractured bone images from its original images. |
|
CSPA812 |
Implementation of Fuzzy
Logic Controller for Digital Pendulum Afaf Rozan Mohd Radzol, Kamarul Azlan bin Azman Faculty of
Electrical Engineering, Universiti
Teknologi MARA, Digital Pendulum System is an example of pole
balancing system and non-linear control theory having a complex dynamics
behavior that creates challenging control problem [5]. This paper is intended
to discuss the developed Fuzzy Controller to The Digital Pendulum Control
System. Swing is induced in the pendulum as the cart is moved back and forth
by the DC motor [5]. Generally the objective of implementing the fuzzy
controller to the system is to move the cart between positions from point to
point without letting the angle of the pendulum swing become too large and
comparing between the fuzzy controller method and PID controller method. The
effectiveness of the proposed control method is then shown in the
experimental results. |
|
CSPA813 |
Performance Assessment of Hybrid
Compression Schemes for Multispectral and Hyperspectral Data. R R. Sedamkar1, Bijith Marakarkandy2,
O. P. Jain3 1 NMIMS
University, 2
MPSTME-NMIMS, 3 L&T Infotec,
Mumbai, INDIA. Multispectral and Hyperspectral images are being increasingly
used in areas such as Biomedical Engineering and Forensic sciences apart from
traditional and key application areas viz. remote sensing and geosciences.
Multispectral and Hyperspectral imagery has four dimensions 2 spatial, 1
spectral and 1 temporal, therefore these data have very high volumes. Data
compression schemes have become essential for reducing storage requirements
and network traffic for economical distribution of this data. Lossless
compression methods are a good option, but they cannot offer a satisfactory
compression ratio for hyperspectral and Multispectral images, therefore lossy
compression schemes which preserve very useful information have to be
considered moreover the time required to compress and extract information
from the data is also crucial. In this paper we propose a hybrid scheme to
compress the hyperspectral and multispectral data. We use Principal Component
Analysis (PCA) for spectral decorrelation and dimensionality reduction and
the Principal components (PCs) are coded using variable length codes. We have
experimented on Landsat and AVIRIS images .The decompressed images were
evaluated objectively using standard performance metrics viz. Maximum
Absolute Error (MAE), Mean square error (MSE), Peak Signal to Noise Ratio
(PSNR), and performance of transformation is reported using merit of
transform. Distribution of Hyperspectral and Multispectral data over the
internet will take considerable time particularly if the medium over which
the image is being transmitted is slow. Many a times the user is interested
only in certain bands and not the entire data set. In such cases the proposed
method will enable transmission of only those compressed Principle components
(PC’s) which introduce the least error in the required bands along with the
transformation Matrix and Mean vector. The user can re-create almost an exact
version of the required bands using the proposed scheme |
|
CSPA814 |
Biometric Verification using Brain
Signatures Hema C.R,
Paulraj M.P, Abdul Hamid Adom, Sazali Yaacob, Nagarajan R., Harkirenjit Kaur Universiti In this paper we investigate the use of brain
signatures as a possible biometric verification technique. Research on brain
signals has shown that each individual has a unique brain wave pattern.
Biometry using brain signals is an emerging field with very little work been
done in this area. EEG signals generated by mental tasks are acquired to
extract the distinctive brain signature of an individual. EEG signals during
mental tasks were acquired from five subjects. In this paper we propose a
novel algorithm for identification using power spectrum and Elman neural
networks. The performance of the neural network is appreciable with an
average accuracy of 79 to 97.4%. |
|
CSPA815 |
Stereo Vision System for Assistive Smart
Wheelchair Hema C.R,
Paulraj M.P, Abdul Hamid Adom, Sazali Yaacob, Nagarajan R., Mohamad Sulaiman
Ibrahim Universiti Maneuvering and controlling an electrically powered
wheelchair poses a complex and hardly manageable task for severely
handicapped and elderly people with heavily reduced physical and mental
abilities. With an increase in the number of senior citizens there is an
increase in the demand for user friendly wheelchairs. This paper proposes a
vision based obstacle location system for wheelchair using stereo vision.
Neural network are used to estimate the distance of the obstacles.
Experimental results validate the proposed method. |
|
CSPA816 |
Domestic Solid Waste Sorting using Vision
Sensor Hema C. R,
Paulraj M. P, Sazali Yaacob, Abdul Hamid Adom, Nagarajan R., D. Maheswaran,
R. Jaii Ganes University Recognizing the problem of domestic waste in the
community is one the most important aspects of community life, especially as
domestic waste management impacts significantly on the environment. For
effective waste management, domestic waste must be initially separated into
plastic, glass, metal, and paper. Glass and metal objects can easily and
economically be separated from the waste stream by air classification or magnets,
but the weight and other properties of plastic and paper articles make them
more difficult to distinguish for purposes of separation. In this paper we
propose a novel algorithm using vision to sort paper and plastic waste. A
neural network classifier is designed to classify the paper and plastic
waste. Classification accuracy of 96.4 % were obtainable. |
|
CSPA817 |
Particle Swarm Neural Network Based
Classification of EEG Mental Tasks Hema C.R.,
Paulraj M.P, Sazali Yaacob, Abdul Hamid Adom, Nagarajan R. Universiti Brain machine interface (BMI) provides a digital
channel for communication in the absence of the biological channels. BMI are
used to rehabilitate patients with neurodegenerative diseases, a condition in
which all motor movements are impaired including speech leaving the patients
totally locked-in. BMI are designed using the electrical activity of the
brain detected by scalp EEG electrodes. Classification of EEG signals
extracted during mental tasks is a technique for designing a BMI. In this
paper five different mental tasks from two subjects were studied,
combinations of two tasks are studied for each subject. A PSO ELMAN neural
network is used for classification of the EEG signals. Band power features of
the EEG signals are used for the classification. Classification accuracies
varied from 79.5% to 91% for the 10 different task combinations for each of
the subjects. The results obtained validate the performance of the PSONN
algorithm for mental task classification. |
|
CSPA818 |
Ultrasonic Process Tomography Imaging
Sensor: An Analysis on Transceivers Sensing Method M.H.
Fazalul Rahiman1, Z. Zakaria1, R. Abdul Rahim2 1 Tomography
Imaging Research Group, Universiti 2 Process
Tomography Research Group (PROTOM) Control and
Instrumentation Engineering Department, Faculty of Electrical Engineering, Universiti
Teknologi Direct analysis of the internal characteristics of
process plant has become a widespread need in order to improve the design and
operation of the equipment especially in liquid/gas two phase flows. It has
been proven that the operation efficiency of a process is closely related to
accurate measurement and control of hydrodynamic parameters such as flow
regime and flow rate. In recent years, the applications of tomography
techniques as a robust non-invasive tool for direct analysis of the
characteristics of multiphase flows have increased. In this study, ultrasonic
tomography imaging sensor has been utilised to visualize the distribution of
liquid/gas in a vertical column. The sensing element consists of 32 units of ultrasonic
transceivers to cover the column cross-section. The motivation of the paper
is to analyse the performance of the transceiver methods in visualizing
bubble hold-ups in vertical column. Some analyses have been carried out using
several phantoms and the system was found excellent in visualizing the
internal characteristics and provides the concentration profile for the
corresponding phantoms. |
|
CSPA820 |
Model Order Selection Criterion for
dengue infections using Autoregressive Model H. Abdul Rahim1,
F. Ibrahim2 and M. N. Taib3 1Department
of Control and Instrumentation, Faculty of Electrical Engineering, Universiti
Teknologi 2Department
of Biomedical Engineering, Faculty of Engineering, 3Faculty of
Electrical Engineering, Universiti
Teknologi MARA, 40450 Shah Alam, This paper describes the development of linear
autoregressive (AR) models to diagnose the progression of dengue infection
based on hemoglobin. Three different AR model order selection criteria namely
Final Prediction Error (FPE), Akaike’s Information Criteria (AIC) and
Lipschitz number have been evaluated and analyzed. The results showed that
Lipschitz number has better accuracy compared to FPE and AIC. Finally based
on Lipschitz number, appropriate model orders have been selected for diagnose
the progression of dengue infection based on hemoglobin status. Further work is to apply this appropriate
model orders to nonlinear Autoregressive (NAR) model. |
|
CSPA821 |
Nonlinear Autoregressive Modeling to
Diagnose the Progression of Dengue Infection Based on Hemoglobin H. Abdul
Rahim1, F. Ibrahim2 and M. N. Taib3 1 Department
of Control and Instrumentation, Faculty of Electrical Engineering, Universiti
Teknologi 2Department
of Biomedical Engineering, Faculty of Engineering, 3Faculty of
Electrical Engineering, Universiti
Teknologi MARA, 40450 Shah Alam, This paper proposed a nonlinear AR (NAR) based on
Artificial Neural Networks (ANN) is applied to the modeling of a predicting
the hemoglobin status for dengue infection.
The type of order selection criteria involves the final prediction
error (FPE), Akaike’s Information Criteria (AIC), and Lipschitz number. This model is divided two approaches which
are unregelurized approach and regularized approach. The results show that
using NAR model with regularized approach yield better accuracy by 80.60% to
predict the hemoglobin status for dengue infection compared with AR model. |
|
CSPA822 |
Fourier Descriptor for Human Shape
Recognition Nooritawati
Md Tahir, Aini Hussain, Dept of
Electrical, Electronics and System, Faculty of Engineering, Universiti
Kebangsaan The aim of this study is to investigate Fourier Descriptor
(FD) as feature vectors for shape representation and recognition since FD is
the best known boundary based shape descriptor and has proven to outperform
most other boundary based methods in terms of accuracy. Furthermore, FD is
also invariant to geometric transformations and has good noise tolerance. The
main concern regarding FD is the number of terms that need to be maintained
from the original Fourier transform for effective representation and
description. A system that computed FDs of human and non human from their
silhouettes; normalized the descriptors and further applied as feature
vectors for recognition is developed. Initial results of experiment showed
that using adequate number of both low and high frequency components could
represent the shape based on high recognition rate achieved. The process of
shape recognition using FDs looks promising. |
|
CSPA823 |
Automated Interior Parked Vehicle Heat
Discharger using Fuzzy Logic Shaiful
Izzuddin bin Mohamad, Rosni Abu Kassim and Faculty of
Electrical Engineering, Universiti In this study, an automated heat discharger system
for a parked vehicle using fuzzy logic is developed. The Automatic Heat
Discharger acted as a device in controlling and maintaining the temperature
condition in a parked vehicle using two sensors and two actuators to simulate
the real world scenario. The sensors applied are the Negative Coefficient
Temperature (NTC) and light dependent sensor (LDR) whilst the actuators are
an exhaust fan and curtain as shade for protection of the vehicle interior
against hot weather and sun exposure. Additionally, the development of fuzzy
logic control algorithm is performed using the fuzzyTECH 3.5 environment. Initial
results proved that the developed system is capable to maintain the
temperature of a suitably sized of interior parked vehicle and perfectly
control the temperature by discharging the heat away from the vehicle
interior. |
|
CSPA825 |
Capacity and Performance Analysis of MIMO
systems with Receive Antenna Selection A. S.
Hiwale1 and A. A. Ghatol2 1 Dept. of
Electronics and Telecommunication Engineering, 2 Dr.
Babasaheb Ambedkar Technological University, Lonere,
Mangaon, Raigad, The use of multiple-antennas and number of
transceiver RF chains increase the hardware complexity of MIMO systems.
Antenna selection is the promising technique to reduce the complexity of MIMO
systems that employ less number of RF chains compared to number of available
antennas. Antenna selection at the receiver or transmitter or at both
transmitter/receiver greatly reduces complexity of MIMO systems while
retaining the benefits of full complex MIMO systems. Various selection
algorithms are proposed by the researches based on maximizing signal-to-noise
ratio (SNR) or maximizing capacity. This paper discusses some practical
selection rules and gives the exact analysis of capacity and error performance
of MIMO systems when using a subset of available antennas at the receiver.
The numerical results obtained using MATLAB for channel capacity and
performance shows that with two transmit antennas and selecting 2 out of 4
receive antennas yields capacity per channel use of 6 b/sec/Hz compared to 7 b/sec/Hz of a full complex system.
Similarly, a loss in signal-to-noise ratio (SNR) of about 3 dB is exhibited
at error probability of 10-5 in MIMO with antenna selection (2 out of 4
receive antennas) compared to MIMO system using all available antennas. |
|
CSPA826 |
ASTHRA - “An Automated Robotic Vehicle
for the Disabled patients using Embedded Systems” Natarajan
R., Dinesh Singh J. Department
of Information Technology, Chennai –
600 044, Tamil Nadu, ASTHRA is an automated, dynamic memory mapped
robotic vehicle, which enables the disabled to carry on their locomotion with
ease and confidence. Also Asthra acts as an automated patient monitoring unit
which enables to transfer vital information during emergency as well as
normal conditions. The vehicle mainly consists of five basic components
including a embedded web servers, dc motors with driver circuit, an
ultrasonic transmitter and receiver to detect obstacles, a radio frequency
remote and programmable and control memory unit. The dc motors are placed at
the hub of the vehicle’s tire and their chief aim is to drive or render
sufficient power to pull the weight of the patient to move about. The most
important feature of Asthra is the embedded web servers. The use of the
embedded web servers is to transfer information’s regarding the patient’s
temperature, pulse, ECG and other important necessary features that need to
be transmitted during times of emergency. We maintain a local intranet by
which the doctor could just login onto a website maintained at the intranet
and get the required details about each and every patient. Also alerting
mechanisms are added which enable to alert doctors regarding the condition of
patients under chronic health conditions. In our case, a RF remote is
provided as an interface between the user and the vehicle. The dc motors are
provided with a driving circuit which is connected to a PIC microcontroller
board. The microcontroller board enables dynamic memory mapping by utilizing
the “train and execute” mode of operation. Utilizing the ultrasonic obstacle
detection circuit, the microcontroller unit programs itself as per the
dimensions of a particular place. Thus Asthra combines upon various features
which render effective locomotion to the disabled as well as act as an
effective patient monitoring system. |
|
CSPA827 |
An Efficient Rate Scalable Technique for
Image Coding and Transmission N.B.
Chopade1 and A. A. Ghatol2 1Department
of Electronics and Telecomm., Engineering, 2Dr.
Babasaheb Ambedkar Technological University, Lonere 402103 Dist: Recently analog images such as Metrological,
Astronomical, Seismic, X-rays, MRI, ECG, EMG, and EEG data are replaced by
digital images for storage & retention. It has been estimated that every
year 80 billion new digital images are produced. Multimedia data (still
images, video & audio) accessed by Internet and mobile users also forms a
considerable portion of the database. Multimedia data in uncompressed form
requires considerable storage space, transmission bandwidth &
computational time. Compression & coding of digital images allows storing
an image data in secured and confidential manner. It also reduces the storage
& transmission cost. The necessity of image compression is continuously
growing in the recent past. The Image compression methods essentially include
transform of image, quantization and encoding. One of the promising & prominent
approaches in this domain is discrete wavelet based image compression, which
uses the concept of multirate DSP and subband coding. The popular JPEG
standard uses DCT for transforming image, which suffers from blocking
artifacts & mosquito noise. The JPEG2000 standard uses Discrete Wavelet
Transform (DWT) for image transformation. This paper describes wavelet based
coding method Set Partitioning in Hierarchical Trees (SPIHT) to encode &
compress the digital image data. It uses recursive set partitioning procedure
to sort subsets of wavelet coefficient by maximum magnitude with respect to
threshold. Because of low complexity & simplicity, this method has very
fast encoding and decoding capability which makes it very efficient in
multimedia transmission. The numerical results obtained using MATLAB shows
that the output image has high value of peak signal-to-noise ratio (PSNR),
smaller mean square error (MSE) with good compression ratio (CR) for low bit
rate. Index Terms - discrete wavelet transform (DWT), set partitioning in
hierarchical trees (SPIHT), peak signal-to–noise-ratio (PSNR), mean square error (MSE), compression ratio (CR). |
|
CSPA831 |
Design of Low-Power Field Programmable
Analog Array based on OTA in 0.35 µM CMOS Technology Rajendra Kanphade,
Dr. M. Shojaei-Baghini, Manish Patil, Priti Gawande, Nitin Ingole, Manisha
Chhangani, Amit Khade, Jagvir Verma, Sanjeev Ranjan, D. G. Wakde VLSI & Embedded System Design Center, SSGM Analog processing may be utilized for applications
requiring low precision, smaller area and lower power than their digital
counterparts, in large part due to their not requiring anti aliasing filters
and signal converters. Fast analog integration in deep sub-micron CMOS
technologies has become a very important issue. The need for fast redesigns
for different technologies of existing analog building blocks becomes crucial
in the IC industry. FPAA is an emerging technology with its own challenges
due to the inherent complexity of programmable and adjustable modular analog
design. In this work a design of an OTA-based FPAA in 0.35 µm mixed signal
CMOS process using Cadence Custom IC Design technology for low-power
applications is presented. This FPAA aimed for low-power applications and
will implement adjustable transconductors, programmable continuous time
filtering and analog multiplication. The most important specifications we
have considered include tuning range, programming versatility, consumed area
and power dissipation. We have also presented a new efficient interconnection
scheme among CABs. Many current mode building blocks can be used for
realizations of linear and non-linear analog systems. Because of the
structural simplicity and convenient controllability of an OTA, it can be
found to be a better candidate. One of the features of OTAs is that their
transconductance can be adjusted and programmed, which is an important factor
in the design of FPAAs. |
|
CSPA832 |
Neural Network Based Detection of Voice Disorders
using Energy Spectrum and Equal-Loudness Contours Paulraj M P1,
Sazali Yaacob 1, S.N. Sivanandam 2, M. Hariharan1 1 School of
Mechatronic Engineering, Universiti 2 Department
of Computer Science and Engineering, Impairment of vocal function can have a major impact
on the quality of life, severely limiting communication at work and affecting
all social aspects of daily life. In
the recent years, voice diseases are increasing dramatically due to unhealthy
social habits and voice abuse. Acoustic analysis is a non-invasive technique
to detect and diagnose the voice disorders. In this paper, a simple feature
extraction method based on band energy spectrum and weighing factor of its
center frequency derived from Equal-loudness contours is proposed. A simple
Elman recurrent network model is developed for testing the proposed features.
The simulation results indicate that the proposed algorithm can distinguish the
voice as pathological or non-pathological voice and provides the mean
classification accuracy of above 90%. The proposed method has the potential
for diagnosing the voice disorders. |
|
CSPA833 |
Adaptive Predictive Fuzzy Logic Attitude
Control R. Nagarajan1,
Paulraj M P1, Sazali Yaacob1, Zaridah Mat Zain1,
Warren Soh Kay Hoh2, Ahmad Sabirin Arshad2, 1 School of
Mechatronic, Universiti 2 Astronautic
Technology (M) Sdn Bhd, No 2 Jalan Jururancang U1/21, Section U1 This paper proposed one axis and three axis attitude
control of a micro-satellite in space. In order to reduce the effect of
unpredictable time delay and variations in other parameters, an adaptive
predictive form of a Mamdani fuzzy logic controller (FLC) is introduced.
Magnetic torquing is considered for generating control torques on this
satellite. This principle is given by the interaction between Earth magnetic
field and magnetic field generated by coils on the satellite for actuation.
To reduce the effects of this unfavorable behavior, a predictive adaptive
form of a Mamdani type fuzzy logic controller (FLC) is introduced. Predictive
controller is needed to compensate the effects of dead time which occurs in
the micro-satellite control system. The predictor estimates the required
control at the next sampling time and applies to the system at the current sampling
time. The response of the satellite is compared with a known reference model
and an adaptive algorithm to yield the error between both outputs towards
zero. The design schemes of modeling adaptive and predictive FLC are
described as follow: basic FLC, predictive FLC and adaptive and predictive
FLC. The simulation results verified the efficiency and accuracy of the
proposed controller and show that three axis control can be achieved with
magnetorquers as actuators in low Earth orbit. |
|
CSPA837 |
A Novel Motion Sensing Algorithm for
Motion-Based Mobile Phone Interface Kok Chen
LIM, Yoong Choon CHANG and Tse Kian NEO This paper introduces a novel motion sensing
algorithm for motion-based mobile phone interface design. In our motion
sensing algorithm, First-Order Image Derivative (FOID) is used as a gradient
measure for featured blocks selection. Optimum-search Block Matching
Algorithm (OBMA) is then proposed for motion estimation. With OBMA, the
average search step in block matching is reduced by up to 30% as compared to
Full-search Block Matching Algorithm (FBMA). The computational intensity of
our algorithm is further reduced by up to 70% with the introduction of Smart
Global Motion Estimation (SGME). Experiment results show that our algorithm
is more efficient to be used in camera-enabled mobile devices. In order to
test on the effectiveness our algorithm has been programmed and tested on the
Nokia N73 phone using Java J2ME programming language. |
|
CSPA0844 |
Implementation of Repetitive Control
Algorithm in Reducing Vibration using MATLAB/Simulink Nor Salwa Damanhuri1, Jari Hatonen2, 1 Faculty of
Electrical Engineering, UiTM 2 School of
Automatic and Control Systems Engineering, The University of Repetitive control algorithm is a new technique to
control systems with periodic disturbances. The purpose of implementing
repetitive control algorithm is to reduce the vibration effect on the system
by making the algorithm converge to zero tracking error. Vibration is a major
problem in the engineering area. There have been major research conducted
using various methods in order to minimize the vibration effects to the
control system. This paper investigates the application of a repetitive
control algorithm technique to control systems with periodic disturbances. In
analyzing the repetitive control algorithm, the FIR assumption is a criterion
that needs to be satisfied so that the algorithm converges to zero tracking
error. The repetitive controller is designed by using the MATLAB/Simulink
software. Then, the results obtained from the MATLAB/Simulink are evaluated. |
|
CSPA847 |
Artificial Intelligent Based Friction
Compensation using Multilayer Feedforward Network Wahyudi and
Nur Muhammad Zaiyad Muda @ Ismail Department
of Mechatronics Engineering, Faculty of Engineering, International
Islamic University Friction is one of the major contributing factors
for problem associated with accuracy in motion control systems. However, it is not easy to overcome the
problem caused by the friction. It is a nonlinear system so that linear
control theory can not handle the friction effectively. Moreover friction
also is characterized by uncertainty due to lubrication condition and/or
payload change. Among the successful
method to overcome for the effect of friction is model-based friction
compensation which relies on the accuracy of the friction model. In this paper, model-based friction compensation
based on multilayer feedforward network (MFN) friction model to compensate
the friction is introduced and evaluated experimentally on a rotary
experimental motion system. The experimental results show that the use
MFN-based friction model is effective to compensate for the effect of
friction in the motion control system. |
|
CSPA848 |
Algorithm Research on Wavelet Support
Vector Machine Lin Jipeng1,
Liu Junhua2 1 School of
Electronics and Control, Chang’an University, 2 School of
Electrical Engineering, A wavelet kernel for support vector machine (SVM)
based on wavelet dual frame theory and conditions of constructing SVM kernel is
presented, which not only increases the precision and convergent rate of the
model, but also is especially suitable for local signal analysis,
signal-noise separation and detection of jumping signals with the
characteristics of multi-scale interpolation and sparse variation, thus
enhances the generalization ability of the support vector machine (SVM),
recognition efficiency and computation burden is alleviated. According to the
wavelet kernel function and the regularization theory, a least square wavelet
support vector machine (LS-WSVM) is proposed to greatly simplify the solving
process of SVM. The LS-WSVM is then applied to the nonlinear system
identification to test the validity of the wavelet kernel function, In
function SINC regression simulation, the max abs error (MSE) is no more 0.18.
In logistic chaos sequence prediction, the MSE is no more than 8×106.
Meanwhile, the MSE is not increased while increasing the predicting length.
This hints it has better generalization ability. |
|
CSPA851 |
Digitally Compensated 4-20 mA Pressure
Transmitter Sidney F. Da Luz1,
Rodrigo Reina Muńoz2, Jorge Ramirez3, Edgar Charry4,
Jaime Lasso V4., Edgar Charry R1. 2Engineering
and Santo André, SP, BRAZIL. 3Electrical
Department- Instituto Superior Politécnico José Antonio Echeverría, CUBA. 4MEMS
- Microssistemas Híbridos de Pressăo Indústria e Comercio Ltda., BRAZIL. This paper concerns the implementation of a 4-20 mA
pressure transmitter using digital calibration and compensation techniques.
Digital compensation is presently used as it allows cost reduction in
comparison with analogue techniques like those using laser trimming. As
digital processor was used a commercial chip that provides all functionality
needed to obtain the transmitter, including amplification, A/D and D/A
conversion, an EEPROM to store coefficients and a CPU to control the
activities flow to adjust the sensor’s output signal. The algorithm provided
with the DSP was modified to obtain compensation using current as the main
variable, instead of voltage, as originally used in pressure transducer
applications by the chip’s supplier. It was possible to produce some transmitters
prototypes digitally calibrated and compensated with accuracy under 0.25% FSO
(Full Span Output) in a temperature range of 0oC to 80oC
using 4-20mA current output. |
|
CSPA852 |
Designing a Digital Display Panel for
Motorized N.Sulaiman,
M.R.Mohamed, K.Amat Faculty of
Electrical & Electronic Engineering, Universiti Malaysia Pahang, 25000 Kuantan, Pahang,
MALAYSIA. Electric Vehicle (EV) which is using rechargeable
battery to operate now becoming an alternative type of transportation. The EV
now is in the phase of challenging the conventional vehicle in a factor of
speed, running time, energy efficiency and pollution. Motorized Battery
Operated Vehicle (MBOV) is an electric vehicle that uses battery to operate.
It is designed previously just to make it move forward & backward and
without any display panel. Since it is powered by battery, it is vital that
the battery performance must be monitored. The battery can be ruined by
excessive discharging and charging. MBOV uses 2 batteries with 12 Volts each.
In order to monitor and control the performance of MBOV efficiently, the
digital display panel needs to be designed. It will display four items; (1)
Initial & running value of battery voltage, initial & running value
of current, the speed of vehicle and the remaining minutes before the vehicle
need to be recharged. All the values will be displayed in LED 7 segments. To
display the battery voltage and current, the Analog-to-Digital Converter
(ADC) is used to convert the analog signal to digital signal. Then the
digital signal will be displayed at LED 7 segments by using Binary-to-Decimal
Converter (BCD). The speed is measured by the rate of change in position of
vehicle’s wheel and motor at certain time. The dot/bar display driver is used
to monitor the changing process from the highest to the lowest level of the
time left. Here the initial value of time is 110 minutes base on 24 Volt of
voltage. The time will be reduced until 28 minutes. Every 2 Volts of charging,
the remaining minutes will be displayed in LED 7 segments. Meanwhile, the
voltage will be changed from 24 Volts (Maximum) to 18 Volts. The current are
ranging from 0.0 A to 9.99 A. The results of the research show that all the
parameters needed are displayed correctly such as initial and running voltage
and current, the speed and the remaining time. For future work, it is
recommended to use LCD to replace LED 7 segments and optimize the size of the
circuit by using Printed Circuit Board (PCB). |
|
CSPA866 |
A Practical Approach for Human Motion
Understanding Altahir A.
Altahir, Vijanth S. Asirvadam and Patrick Sebastian Department
of Electrical and Electronics Engineering Universiti
Technologi Petronas, 31750, Tronoh, Bandar Seri Iskandar, Perak D. Ridzuan,
MALAYSIA. With the current advancement in video technology,
video surveillance has become an integral part of daily life. Usually a human
operator watches them to catch events of interest in the scene, but this is a
tedious and time consuming process in which requiring constant attention, and
leads to inadequate surveillance capability. Therefore, there is an urgent
need for automated systems for analysis of surveillance video streams. This
paper presents a novel operational computer vision framework for
understanding human motion from video streams. The system captures monocular
video on a scene containing two humans and performs analyzing and mining
operations based on five measurements to identify the motion. The five
measurements are extracting pixel coverage of a particular object, time
domain, frequency distribution of pixels of interest, crossed distance per
frame and characterizing the events for each one of human subject.
Experimental results shows by mining the measurements mentioned above a
better understanding of human motion can be extracted. |
|
CSPA867 |
Investigation of Ambiguity Resolution for
Single and Dual Frequency Relative Positioning Norsuzila
Ya’acob, Mardina Abdullah and Mahamod Ismail Department
of Electrical, Electronics and System Engineering, Universiti
Kebangsaan Global Positioning System (GPS) is currently one of the
most popular global satellite positioning systems due to global availability
of signal and performance. High positioning accuracy is now achievable using
carrier phase based relative positioning technique, in which two or more
geodetic quality GPS receivers are deployed. Baseline length – dependent
errors due to ionospheric refraction complicates ambiguity resolution and
limits the accuracy attainable in GPS baseline determination. In this study,
the effects of initial phase ambiguity at GPS and modelling of ionosphere on
base components were studied. The solutions that are related to frequency and
solutions were done by using single frequency and dual frequency data. Data from Real Time Kinematic (RTK) and
Malaysian Active Station (MASS) of JUPEM (Jabatan Ukur dan Pemetaan |
|
CSPA868 |
Universal Infrared Receiver for PC’s
Media Player Z. Abdul
Halim and Y.H.Ying School of
Electrical and Electronic Engineering, University
Sains 14300
Nibong Tebal, Seberang Perai Selatan, Infrared data transfer is becoming increasingly more
important. Television remote control uses infrared light, so do PC mice,
keyboard, printers and other peripherals. This is because the infrared
devices offer lower production cost, wide operating range and good
communication security. The PC infrared receiver presented in this project
was a practical application that represents a continuation of the series of
articles on PC interface and Visual Basic. Visual Basic 6 was used to decode
the received infrared signal and perform PC’s functions such as window media
player. Serial port DB-9 (COM1) was used as the interface between computer
and the hardware of this project. By end of this project, total three brands
of remote controls were able to use to remote the PC such as Philips, Sony
and JVC. |
|
CSPA869 |
Attitude Control of Small Satellites with
Reaction Wheels Zuliana Ismail,
Rizal Zahari, Renuganth Varatharajoo Department
of Aerospace Engineering, University
Putra This paper presents the attitude control for small
satellites by using three reaction wheels. To avoid any wheel’s angular
momentum reaching the saturation level rapidly, the secondary actuators such
as magnetorquers are significantly required. Since reaction wheels are
powered by electrical power, it is slightly inappropriate to adopt multiple
reaction wheels for the small satellite missions because of the power
constraints. However, the power
consumption could be minimized by having the best orientation of the reaction
wheels on-board satellite. The purpose of this paper is to investigate the
most suitable reaction wheels configuration in an orbiting satellite.
Numerical simulation is performed by using the MatlabTM/Simulink for a
reference mission. Based on simulation results, the best reaction wheels
configuration that produced the minimum torque which leads to a low power
consumption was identified. |
|
CSPA880 |
Application of Taguchi Method in the
Optimization of RF-Low Noise Amplifier Design Parameters S.F. Wan
Muhamad Hatta, Department
of Electrical Engineering, University This paper outlines the Taguchi optimization
methodology, which is applied to optimize the Radio Frequency Low Noise
Amplifier (RF-LNA) design performance. The LNA design incorporates the
forward body biasing scheme with the power constrained simultaneous noise
input matching (PCSNIM) and the gain enhancement technique in order to boost
design performance. The design parameters evaluated are the gate inductor
value, Lg, the additional PSCNIM-capacitor, Cex, which is located between the
source terminal and the gate terminal of the common source amplifying
transistor, and the feedback capacitor, CF which has been included to realize
the gain enhancement technique. An orthogonal array, signal-to-noise (S/N)
ratio and Pareto analysis of variance (ANOVA) are employed to analyze the
effect of these design parameters. Through statistical analysis of the
experimental results, the optimal variable combination for high gain and low
noise performance are low Lg value and CF values. It has also been realized
that a low value of Cex would give a good power gain performance while a
larger value gives a desired low noise figure. Using the Taguchi method for
design of experiment (DOE), other significant effects such as the interaction
among the design parameters are also investigated. The study shows that the
Taguchi method is suitable to solve the designing problem with minimum number
of trials. |
|
CSPA884 |
Performance Comparison of LQR and PID
Controller for a Ball-beam System A. N. K.
Nasir, M. A. Ahmad and N. Hambali Faculty of
Electrical and Electronics Engineering, Universiti Malaysia Pahang (UMP), 25000 Kuantan,
Pahang, MALAYSIA. This paper presents investigations into the
performance comparison of LQR and PID controller for a ball-beam system. A
ball-beam balancer system with the beam supported in the middle and rotates
against its central axis is considered and a linear time invariant dynamic
model is derived in this study. Simulation results of the response of the
ball-beam system are presented in time domain. Two system responses namely
the ball position and angular beam are obtained. The performances of the LQR
and PID controller are examined in terms of input tracking capability and
time response specifications. A comparative assessment of both control
schemes to the system performance is presented and discussed. |
|
CSPA893 |
A Modified Evolution Equation for Particle Swarm Optimization in
Solving Class Scheduling Problem Mohd Azri Abdul Aziz, Mohd Nasir Taib, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, The solution of a class scheduling problem is
generally represented by the arrangement of events and its associated
parameters (lecturer, students, etc.) in timeslot and room, while the
evolution equation for PSO is in a numerical format. Several advantages in
terms of a fast execution of algorithm can be obtained if the format for both
is compatible. It will also ease the process of modeling the class scheduling
problem using Particle Swarm Optimization technique. In order to make the
format for both evolution equation and solution of the problem is compatible,
this paper will propose some modification on the PSO’s evolution equation.
The proposed modified equation will still maintain two important elements of
PSO which are the self-learning (cognitive) and social interaction. The
modified evolution equation was then used in the experiment to prove that it
can simulate the swarm intelligence behaviour as close as to the original
equations. The result shows that the implementation of the modified evolution
equation has been successfully demonstrated for the purpose of solving a
class scheduling problem. |
|
CSPA894 |
PSO with Guided Local Search in Determining the Arrangement of Event
for Class Scheduling Problems Mohd Azri
Abdul Aziz, Mohd Nasir Taib Faculty of
Electrical Engineering, Universiti
Teknologi MARA (UiTM), 40450 Shah Alam, The arrangement of events in class scheduling
problem determine the solution of the problem. The movement of at least one
event to a new slot will create new different arrangement and therefore
changing the solution to the problem. A totally random selection of which
event to be moved and where to move will prone to the duplication of event
arrangements. This will therefore drag the time in finding the best event
arrangement or solution of the problem. This selection method will make the
movement even worst if it violates the hard constraint. This paper will
propose a PSO with guided Local Search in selecting the event to be moved and
also the new slot it can be moved to. This is done to ensure the duplication
of solution is avoided and thus will speed up the process in searching for
the best solution. The checking for hard constraint violation will be done in
the Guided Local Search algorithm, which means the solution passed to the
evaluation process is a hard constraint free and non-duplicated solution. In
the proposed algorithm, PSO will be responsible in selecting the area where
the particle
will move
while the Guided Local Search will complete the search by finding the exact
location of the particle. |
|
CSPA908 |
PSA Approach for Image Search in Fabric
Images Khor Siak
Wang1, Fatimah Ahmad2 1Faculty of
Information and Communication Technology Universiti
Tunku Abdul Rahman, 46200, PJ, 2Faculty of
Computer Science and Information Technology, Universiti
Putra The ability to search a collection of fabrics to
find a particular combination of texture is increasingly important especially
in the area of fashion and interior design. Different designers working in
similar fields may have different ideas on their products such as pattern of
clothes, textures of textiles, placements and colour combinations of floor
tiles, wall papers etc. Instead of producing these works on papers, which may
suffer from the risks of corruption, more designers have now relied on the use
of storage technology to store their works in graphic forms. This does not
only conserve space but also enables them to retrieve their works for
reference whenever they intend to. When the number of stored images grows,
searching for a desired piece of design work is likely to be time-consuming
and painstaking. A large collection of images containing different designs
pattern and textures of certain fashion designs demands for efficient search
system. Of all the visual contents identifiable from a fabric image, texture
is considered to be the commonest visual attribute that aids in image
retrieval. Common approaches for texture-based image retrievals are largely
centered around frequency-based models, which are notably suffered from the
problem of poor retrieval accuracy. In this paper, a novel approach for
texture-based image retrieval has been proposed. This approach, known as
power spectrum analysis, or PSA for short, is based on the idea of dividing
an image into six equally sized partitions where the power spectrum of each
partition is computed to be used to aid in the image retrieval process.
Benchmarked using the popular performance measurement technique, Recall and
Precision, adopting the PSA technique for retrieving images based on their
texture contents has produced remarkable retrieval accuracy, almost three
times more accurate over any other frequency-based models. |
|
CSPA910 |
Keystroke Pressure-Based Typing
Biometrics Authentication System Using ANN and SVM-Based Classifiers Hasimah Ali1,
Momoh J. E. Salami2, Wahyudi2, Mohamad Arinal1 1School of
Mechatronics Engineering, Universiti 2Department
of Mechatronics, IIUM Security of an information system depends to a large
extent on its ability to authenticate legitimate users as well as to
withstand attacks of various kinds. Confidence in its ability to provide
adequate authentication is, however, waning. This is largely due to the
wrongful use of passwords by many users. In this paper, the design and
development of keystroke pressure-based typing biometrics for individual
user’s verification which based on the analysis of habitual typing of
individuals is discussed. The paper examines the use of maximum pressure
exerted on the keyboard and time latency between keystrokes as features to
create typing patterns for individual users. Combining both an Artificial
Neural Network (ANN) and Support Vector Machines (SVMs) are adopted as
classifiers to verify the authorized and unauthorized users based on
extracted features of typing biometric. The effectiveness of the proposed
system is evaluated based upon False Reject Rate (FRR) and False Accept Rate
(FAR). A series of experiment shows that the proposed system that used
combined classifiers produces good FAR and FRR. |
|
CSPA919 |
Backstepping
Controller Design for a Quadrotor Unmanned Air Vehicle A.
F. Mohamed, Atheer L. Salih, and M. Moghavvemi This paper presents the design of a
backstepping controller for a quadrotor vertical take-off and landing (VTOL)
unmanned air vehicle. This controller sets the helicopter to track three
certain positions (x, y, z) and the yaw angle to their desired values. In
addition, it stabilizes the pitch and roll angles. The model of the system is
presented in three interconnected subsystems; 1. an underactuated subsystem
S1 representing the under-actuated subsystem which gives the dynamic relation
of the horizontal positions (x, y) with the pitch and roll angles, 2. a
fully-actuated subsystem S2 that provides the dynamics of the vertical
position z and the yaw angle (z and ψ), and 3. rotors subsystem S3 which
gives the dynamics of the propeller forces (F1, F2, F3 and F4). To stabilize
the overall system, the backstepping controller designed based on the
Lyapunov stability theory. Various simulations of the model show that the
control law stabilizes the quadrotor with good tracking. It generates the
control signals u = [u1, u2, u3, u4] for DC motors of the quadrotor
helicopter ensuring that the position {x (t), y (t), z (t), ψ (t)} track
the desired trajectories {xd(t), yd(t), zd(t), ψd(t)} respectively. The
control commands stabilize the pitch and the roll angles {Ř(t), θ(t)} as
well. However, the last step design has been modified to include a
dynamic of the four rotors, which is used to generate the lift forces. To
verify the performance of the proposed backstepping controller, a classical
PD controller is presented in this paper and the results of the two
controllers are compared. The simulation results show the good performances
and the differences between the tow types of the controllers. |
|
CSPA963 |
Study the Effect of Drain Induced Barrier
Lowering (DIBL) on P-Type MOSFET Device Hashimah
Hashim, Ahmad Sabirin Zoolfakar and M.H.F.M. Safaia Faculty of
Electrical Engineering, Universiti
Teknologi MARA (UiTM), 40450 Shah Alam, This paper presents the study of DIBL on PMOS device
by using SILVACO TCAD simulator. The study is based on the effect of DIBL due
to short channel transistor. The aim is to reduce the effect of DIBL in short
channel device. From the conducted experiment, there are two approaches to
reduce DIBL effect. The two approaches are reducing the quantity of HCL and
reducing the temperature of implantation process. Three different values of
drain voltage, VD are biased in PMOS device to investigate the role of this
voltage on DIBL effects. The DIBL value can be calculated and simulated from
the software. From the simulation results that have been conducted shows that
the value of DIBL is reduced by 1.5% when the quantity of HCL is reduced. |
|
CSPA968 |
An Overview of Dual Band Antenna for WLAN
Application Mohammad
Tariqul Islam1,2, Tan Yee Mun1, Chan Yee Kit1,
Norbahiah Misran2 1Faculty of
Engineering & Technology, 2Institute
of Space Science (ANGKASA), University
Kebangsaan A comprehensive overview of recent developments of
new and innovative antenna designs is presented in this paper. A theoretical
investigation is carried out on microstrip patch antenna for WLAN application
in this research. Investigation is carried out on the basis of design
perspectives, size, impedance bandwidth and cross polarization level of
antenna. Approximate equations for designing patch antenna are illustrated.
In addition, the design flow chart and guidelines for developing dual band
microstrip antenna are also provided. |
|
CSPA974 |
Sample Rate Converter from CD to DAT
using Truncated Lagrange Interpolation Aseim
Najem, Ahmed Elbarsha EE-Department,
In sampling rate conversion between two different
formats, the desired output sample values are the interpolated sample values
at noninteger (or, integer) multiples of the original sampling period. In
this letter, we present a sampling rate conversion from 44.1-kHz compact disc
to 48-kHz digital audio tape formats. This method involves upsampling the
input signal by two, and then passing the interpolated signal through a
fractional delay filter (FDF) based on truncated Lagrange interpolation. This
structure will be more efficient than when we use fractional delay filter
based on Lagrange interpolation, because the proposed filter is
computationally efficient; where, it is based on polynomial formulas, which
have common terms for all coefficients, and maintains high quality of
signal-to-noise ratio as same as in the other method. |
|
CSPA979 |
Dynamic Modelling of a Two-link Flexible
Manipulator M. A. Ahmad1,
Z. Mohamed2 and A. N. K. Nasir1 1Faculty of
Electrical Engineering, Universiti 2Faculty of
Electrical Engineering, Universiti
Teknologi This paper presents dynamic modelling of a
manipulator with two-link flexible manipulator based on closed-form equations
of motion. The kinematic model is
based on standard frame transformation matrices describing both rigid
rotation and modal displacement, under small deflection assumption. The
Lagrangian approach is used to derive the dynamic model of the structure.
Links are modelled as Euler-Bernoulli beams with proper clamped-mass boundary
conditions. Explicit equations of motions are detailed by assuming two modes
of vibration for each link. Moreover, effects of payload on the response of
the flexible manipulator are discussed. Extensive results are included that
validate the theoretical derivation. |
|
CSPA981 |
Integrated
Gas Sensor Based On Infrared Absorption For Monitoring Indoor Air Quality Marianah Masrie1, Anuar
Ahmad2, Ruslan Rolon1, Ramli Adnan1, 1Department of
System Engineering, Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Selangor 2Faculty of
Engineering, Universiti Industry Selangor, Selangor Non-dispersive infrared gas sensor has become one of
the methods for gas detection in indoor environment. Most of the sensors have
the capability of sensing only single gas and the light source is usually a
thermal source that has many disadvantages. This paper discussed the
development of an integrated gas sensor based on infrared absorption
technology to measure the concentration of carbon dioxide (CO2) and carbon monoxide (CO) to 1 part
per million (ppm) level for indoor environment. PbSe Photoresistor was used
as a sensor to measure the two gases at the absorption band spectrums of 4.3
µm for CO2 and 4.6 µm for CO molecules in the air. The infrared
lights are emitted by two light emitting diodes (LEDs). These light sources
are much smaller, high speed, low power consumption and does not need optical
filters. Some experimental results will also be presented to show the
performance of the develop prototype system. |
|
CSPA982 |
Analysis of the Execution Time for
Point-to-Point Communication Operations in a Cluster-based Parallel System Mohamed
Faidz Mohamed Said1, Mohd Nasir Taib2 and Saadiah Yahya1 1 Faculty of
Information Technology & Quantitative Sciences 2 Faculty of
Electrical Engineering Universiti Teknologi MARA, 40450 Shah Alam, MALAYSIA Point-to-point communication is fundamental to all
communication subsystems in cluster computers. It forms a basis for efficient
message implementation, especially those that involve software applications.
A point-to-point communication service involves a sender and a receiver. The
model for point-to-point communication involves three parameters: sending
latency, receiving latency, and network latency. The network latency is the
time required to transmit the message across the network and generally
several significant factors may contribute to it, including network
bandwidth, underlying switching mechanism, and blocking time. This research
attempts to measure the blocking time effect accurately by conducting a
benchmarking test in the controlled parallel computing environment. |
|
CSPA983 |
MPI Overlap Performance Results in a
Beowulf Cluster Mohamed
Faidz Mohamed Said1, Mohd Nasir Taib2 and Saadiah Yahya1 1 Faculty of
Information Technology & Quantitative Sciences 2 Faculty of
Electrical Engineering Universiti Teknologi MARA, 40450 Shah Alam, MALAYSIA Performance of Message Passing Interface (MPI)
operations was measured on a small-scale Beowulf cluster system. The library
used for the parallel programming is mpich implementation version 1.2.0. The
tests were run using Linux operating system due to its sophisticated
multitasking virtual memory kernel. When choosing communication operations,
many of the design choices for parallel software architecture are concerned
with the detailed behaviour of its low-level primitives. There are few
studies using these primitives that quantify the potential benefit of overlap
of message transfer with computation. This research attempts to address with
an empirical method to quantify the potential overlap and examine the
possible performance benefit. The results demonstrate that a high potential
tolerance to network latency and bandwidth exist. This allows for a
significant relaxation of network requirements without a consequent
degradation of application performance. |
|
CSPA984 |
Symptoms and Signs in Dengue Patients Utilizing
The Self Organizing Map Tarig
Faisal1, Fatimah Ibrahim1, Mohd Nasir Taib2 1 Department
of Biomedical Engineering, Faculty of Engineering, 2 Faculty of
Electrical Engineering, Universiti Teknologi Mara, 40450 Shah Alam, Selangor,
MALAYSIA. Early clinical diagnosis is needed in order to
identify the level of the disease in dengue patients. However, the physician
cannot distinguish between the dengue fever DF and the dengue haemorrhagic
fever (DHF) at the early stage. Therefore, many statistical studies were
conducted to define the significant symptoms and signs for classifying the
dengue patients at the early stage. However, none of those studies utilized
the unsupervised neural network for visualizing, analyzing and understanding
the complication of symptoms and signs in the dengue patients. Thus, this
study was conducted to investigate the significant symptoms and signs in
dengue patients before the day of defervescence. The self organizing map
(SOM) was utilized to visualize and understands the symptoms and signs of 195
dengue patients. The results show that the bleeding tendency and Abdominal
Epigastic pain are the significant common signs which can be use to classify
the dengue patient in all days. Moreover, Flash Face is the significant sign
presented in days 3 and day 2. Conjunctivitis and Petechiea Rash was
presented on day 2 as a significant sign for the dengue patient
classification. |
|
CSPA990 |
Reduction of Crosstalk by Adding Grounded
Tracks on Printed Circuit Board Ahmed
Alferjani, Ahmed Elbarsha Electromagnetic Interference (EMI) is a growing
problem with new electronic devices using high-speed switching circuits and
transmitting wide-band signals on densely packed printed circuit boards
(PCB’s). Cross-talk can result in the degradation of analog signals, or the
loss of digital information. This paper presents a technique based on
additional traces grounded by vias, which the cross-talk can be minimized.
The circuit analysis code SPICE is used to analyze a model of coupled lines.
The simulation method proposed in this work is time-domain methods with input
signal is trapezoidal signal. |
|
CSPA993 |
Parallel Algorithm for Blind Source
Separation Ibrahim
Elimam Abdalla1, Abubakr Elsidig Mirghani El Hussien1,
Aisha Hassan Abdalla2 1 Al Neelain
University, 2
International Islamic University In Blind Source Separation a mixture of sources,
sounds or any type of signals are to be separated without any prior
information about these sources and the way they have been mixed. Most of the
methods and algorithms that have been developed to tackle this problem are
computationally expensive. Specially those dealing with Convolutive Blind
Source Separation. Here, a new parallel, computationally none expensive
Convolutive Blind Source Separation algorithm is presented and evaluated.
Then parallelization of an already existing Blind Source separation algorithm
is also presented and tested. |
|
CSPA995 |
Hybrid Color Image Segmentation
Algorithm Azilah
Saparon and Sasni Ismail Faculty of
Electrical Engineering, Universiti
Teknologi MARA, Shah The objective of color image segmentation is to
separate spatial regions of an image on the basis of similarity within each
region and distinction between different regions without a priori knowledge
about specific surfaces. It is the first step in image analysis and pattern
recognition. Several techniques can be
used for color image segmentation such as empirical evaluation of various
color spaces, clustering in feature space, and physics-based modeling. This paper
presents some analyses on several color image segmentation techniques and
amongst them are edge detection, histogram threshold and region-based
approaches. This is done by testing
some edge detector algorithms and comparing their limits and their contribution
to image segmentation. The same
process is done on region based algorithms and histogram threshold
approaches. Based on the findings of
each technique, this work is aimed to identify which of the approaches works
best at achieving a system that can reliably split up objects under active
contour or boundary and variable color conditions so that we can have
accurate segmentation results. A procedure to integrate the techniques has
been identified which is the main contours of the image are used to
identify the different regions present in the image and then the segmentation
stage is performed based on the active region model which allows us to take
region and boundary information into account in order to segment the whole
image. This is known as Hybrid approach and from the results; Sobel edge
detector and |
|
CSPA700 |
Classification
Of Electricity Demands Based On Fuzzy Clustering Z Zakaria1 MIEEE, M H Sohod2
MIEEE, 1 Faculty of
Electrical Engineering, Universiti
Teknologi MARA, Shah 2 Engineering
Department, TNB Distribution, Tenaga
Nasional The electricity
industries need new business strategies for providing value added service to
consumer. Analysis of consumer behavior in handling load usage is an
important errand since it could provide the demand characteristic of a
particular consumer. This information could be used in making new marketing
strategies, electricity pricing and policy making. A demand characteristic
could be extracted from the monthly billing data but sometimes it is
insufficient. Besides that, another
method that could be applied to analyze the electricity demands would be by
installing time interval meter, quarter-hourly, half-hourly or hourly at each
of the point’s demands. However, this method is expensive and costly due to
equipment, maintenance and processing cost. Therefore, load profile acquired
by classifying the load curves is seen as the other alternative approach for
providing a satisfactory and most cost-effective approach in analyzing the
consumers’ demand characteristics. This paper investigates the capability of
fuzzy clustering in classifying electricity daily load curve from different
feeders in a particular distribution network. Fuzzy clustering based on fuzzy relation has been employed in this work.
Further, a factor analysis technique namely Principal Component
Analysis (PCA) is used to examine the daily load curve to determine the most
valuable features of the load data prior to clustering process. Results
obtained demonstrate the ability of the proposed method in classifying
electricity demands according to the energy consumption. |
|
CSPA807 |
Evaluation
of Optimized NNARX Structure in Modeling of Steam Distillation Essential Oil
Extraction System Mohd Hezri Fazalul
Rahiman, Mohd Nasir Taib and Faculty of
Electrical Engineering, Universiti Teknologi MARA 40450 Shah This paper evaluates the Neural Network
AutoRegressive with eXogenous (NNARX) structure in modeling the steam distillation
essential oil extraction. The model order will be selected based on
Rissanen’s Minimum Description Length (MDL) information criterion. In the
training of NNARX model, both unregularized and regularized models will be
assessed. There are three regularization levels of the weight decay that will
be implemented in this work. The number of hidden neuron and iteration will
be optimized before the training session. The testing of the trained model
will be based on R2,
adjusted-R2, NMSE, RMSE,
residual histogram and correlation tests. All results will be compared and
evaluated with respect to the testing data.
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CSPA819 |
Characterization of Pharmaceutical Film
using Microwave Non-Destructive Testing Technique Nor Khaizan
Anuar1,3, Mohd Nasir Taib2,3 Wong Tin Wui1,3
and Deepak K. Ghodgaonkar4 1Particle
Design Research Group, Faculty of Pharmacy, Universiti Teknologi MARA, 40450 Shah Alam Selangor,
MALAYSIA. 2Faculty of
Electrical Engineering, Universiti
Teknologi MARA, 40450 Shah 3Non-Destructive
Biomedical and Pharmaceutical Research Centre, Universiti Teknologi MARA, 40450 Shah Alam Selangor,
MALAYSIA. 4Dhirubhai
Ambani Institute of Information and Communication Technology, DA-IICT
Near The applicability of microwave non-destructive
testing (NDT) technique as an optional tool in drug content measurement of
pharmaceutical films was investigated. Hydroxypropylmethylcellulose (HPMC)
was selected as the model matrix polymer with polyethylene glycol (PEG) 3000
as the plasticizer and loratadine as the model drug. Both blank and
drug-loaded films were prepared using the solvent-evaporation method. The
results indicated that the microwave NDT technique is potentially useful in
quantification of drug content via the measurement of power transmission
coefficient (nPTC) (Linear regression values: r value ≥ -0.91 and p < 0.05) of the pharmaceutically
prepared film. Practically, the significance of correlation between the nPTC
values and drug content was not affected by the composition and storage
humidity of films, as well as, the microwave frequency band employed in the
characterization of the films. |
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CSPA835 |