The 3rd International Multi-Conference on Artificial ... · Assoc. Prof. Dr. Mohamad Khatim Hasan Technical Program Committee Assoc. Prof. Dr. Shahnorbanun Sahran Dr. Lailatul Qadri

The 3rd International Multi-Conference on

Artificial Intelligence Technology (M-CAIT 2016)

23 - 24 August 2016

Hatten Hotel, Malacca, Malaysia

“EMPOWERING DATA SCIENTISTS WITH ARTIFICIAL

INTELLIGENCE”

Conference Chair

Prof Dr. Khairuddin Omar

Co-Chairperson Prof. Dr. Shahrul Azman Mohd Noah

Prof. Dr Masri Ayub Assoc. Prof. Dr. Md. Jan Nordin

Assoc. Prof. Dr. Mohamad Khatim Hasan

Technical Program Committee

Assoc. Prof. Dr. Shahnorbanun Sahran Dr. Lailatul Qadri Zakaria Dr. Bahari Idrus Dr. Mohd Ridzwan Yaakub

Dr. Saidah Saad Dr. Seyed Mostafa Mousavi Kahaki Dr. Lam Meng Chun Dr. Sabrina Tiun Dr. Nazatul Aini Abd Majid

Assoc. Prof. Dr.Masnizah Mohd Dr. Afzan Adam Mr. Azmi Nasir Ms. Nor Ana Mansor

Mr. Hafiz Mohd. Sarim Mr. Mohd Nor Hafizi Abdullah Mr. Mohd Hata Mohammad Ms. Noor Faridatul Ainun Zainal Ms. Junaidah Mohamed Kassim

The 3rd International Multi-Conference on Artificial Intelligence Technology (M-CAIT 2016)

23 - 24 August 2016


CONFERENCE SCHEDULE

DAY 1: 23 AUGUST 2016 (TUESDAY)

0800 – 0900 Registration (Venue Level 11)

0900 – 1000

KeyNote Address 1

Venue Level 11 - The Ballroom 2A

Speaker PROF. DR. YUEFENG LI Title Learning Personalized Ontology for Interpretation of

Discovered Knowledge in Massive Text Information

1000 – 1020 TEA BREAK

1020 -1120

KeyNote Address 2

Venue Level 11 - The Ballroom 2A

Speaker PROF. DR. STEFAN RÜGER Title Visual mining - interpreting image and video

1120 – 1245

Welcoming Speech and Opening

and MOU Signing Ceremony (Venue Level 11 - The Ballroom 2A)

1245 – 1400 LUNCH

1400 – 1520

Parallel Session 1

Venue Ballroom 2B and Hatten 2

1520 – 1540 BREAK

1540 – 1700 Continue Parallel Session 1

1720 END OF SESSION

1


23 - 24 August 2016 Hatten Hotel, Malacca, Malaysia

CONFERENCE SCHEDULE


23 - 24 August 2016 Hatten Hotel, Malacca, Malaysia

CONFERENCE SCHEDULE

DAY 1: 23 AUGUST 2016 (TUESDAY)


0900 – 1230

Workshop I Venue Hatten 3 (MCAIT)

“Robot Operating System (ROS) Workshop”

1230 – 1400 LUNCH

1400 – 1700

Continue : Workshop I Venue Hatten 3 (MCAIT)

“Robot Operating System (ROS) Workshop”

1700 END OF SESSION

DAY 2 24 AUGUST 2016 (WEDNESDAY)


0900 – 1000

KeyNote Address 3 Venue Level 11 – Ballroom 2A

Speaker ASSISTANT PROF. DR. HAMMAD A.QURESHI Title Artificial Intelligence and Data Mining shaping a New World Applications from Digital Pathology to Text

Recognition

Best Paper Award Announcement

1000 – 1020 TEA BREAK

1020 -1320 Parallel Session 2

Venue Ballroom 2A and Ballroom 2B and Hatten 3

1320 – 1430 LUNCH

1430 – 1550

Parallel Session 3 Venue Ballroom 2A and Ballroom 2B

Wokshop II

Venue Hatten 3 Augmented Reality (AR)

Wokshop III

Venue Hatten 1 Multimedia Information Retrieval

1550 – 1600 BREAK

1600 – 1730 Continue Parallel Session and Workshop

1730 END OF SESSION

3 2


23 - 24 August 2016


CONFERENCE SCHEDULE

OPENING AND MOU SIGNING CEREMONY

Details of Keynote Speakers 1

Keynote Speaker 1

PROF. DR. YUEFENG LI

Title Learning Personalized Ontology for Interpretation of Discovered Knowledge in Massive Text Information

Biodata Yuefeng Li is a professor in the School of Electrical Engineering and

Computer Science, Queensland University of Technology, Australia.

He has published over 160 refereed journal and conference papers.

He has demonstrable experience in leading large-scale research

projects and has achieved many established research outcomes

that have been published and highly cited in top journals and

conferences (His total citations are 3,123 and the highest citation

per paper = 208). His research interests include Web intelligence,

ontology learning, data mining and decision support systems. He

has been a general conference chair of 2015 IEEE/WIC/ACM

International Conferences on Web Intelligence and Intelligent

Agent Technology, 6-9 Dec 2015, Singapore; and a program chair

of 2016 IEEE/WIC/ACM International Conferences on Web

Intelligence, 13-16 October, USA. He currently is an Editor-in-Chief

of Web Intelligence Journal, an Associate Editor of the

International Journal of Pattern Recognition and Artificial

Intelligence, and an Associate Editor of the IEEE Intelligent

Informatics Bulletin.

Abstract It is estimated that more than 80% of big data were stored in text

format that contain invaluable knowledge for decision makers;

however, it is very hard for them to understand the invaluable

knowledge in terms of data mining results. Personalized Ontology

learning is an automatic process of building specific ontologies

from a domain ontology and massive text information for acquiring

user information needs. This talk will discuss the current research

trends on both text mining and personalized ontology learning. It

also presents how personalized ontology learning helps people to

understand text mining results; and discusses several challenging

issues, such as how to define proper machine readable

representations for discovered knowledge, and how to update

ontology using new or discovered knowledge.

1000 – 1120 Arrival of guests

Arrival of top officials of the University

1120 – 1125 Recitation of Du’a

1125 – 1135

Welcoming speech by Assoc. Prof. Dr. Shahnorbanun Sahran

Chairperson of CAIT and behalf of Chairperson of PECAMP

1135 – 1145 Speech by

Prof. Dr. Abdullah Mohd Zin, Dean of Faculty Information Science and Technology

1145 -1215 Speech and launching of MCAIT and CAMP 2016 by

Prof. Datuk Dr. Noor Azlan Ghazali Vice-Chancellor Universiti Kebangsaan Malaysia

1215 – 1240

MOU Signing Ceremony between Faculty of Information Science and Technology

and Abyress Sdn Bhd Linux Foundation

Malaysia Open Source Community

1245 LUNCH

4 5


Keynote Speaker 2

PROF. DR. STEFAN RÜGER

Title Visual mining - interpreting image and video

Biodata Prof Stefan Rüger reads Physics at Freie Universität Berlin and

gained his PhD in Computer Science at Technische Universität

Berlin (1996) on the Theory of Neural Networks. During the next

decade he carved out his academic career from postdoc to Reader

researching multimedia information retrieval at Imperial College

London, University of London, where he also held an EPSRC

Advanced Research Fellowship (1999-2004). In 2006 Stefan

became a Professor of Knowledge Media when he joined The Open

University's Knowledge Media Institute to cover the area of

Multimedia and Information Systems. He currently holds an

Honorary Professorship from the University of Waikato, New

Zealand, and has held Visiting Fellowships at Imperial College

London and Cranfield University, UK. Stefan is interested in the

intellectual challenge of visual processing with a view to automated

multimedia understanding.

Abstract Like text mining, visual media mining tries to make sense of the

world through algorithms - albeit by analyzing pixels instead of

words. This talk highlights recent important technical advances in

automated media understanding, which has a variety of

applications ranging from machines emulating the human aesthetic

judgment of photographs to typical visual mining tasks such as

analyzing food images. Highlighted techniques include near-

duplicate detection, multimedia indexing and the role of machine

learning. While the first two enable visual search engines so that,

e.g. a snapshot of a smart-phone alone links the real world to

databases with information about it, machine learning ultimately is

the key to endowing machines with human capabilities of

recognition and interpretation. The talk will end by looking into the

crystal ball exploring what machines might learn from automatically

analyzing tens of thousands of hours of TV footage.


Keynote Speaker 3

ASSISTANT PROF. DR. HAMMAD A.QURESHI

Title Artificial Intelligence and Data Mining shaping a New World Applications

from Digital Pathology to Text Recognition

Biodata Dr. Hammad Qureshi holds a PhD in Computer Science from the

University of Warwick. His main area of research interests include

Wavelet Theory, Image Processing and Pattern Recognition. He has

published in the top venues in his area of research. He has been

awarded the prestigious Marie-Curie Actions Fellowship, Institute of

Advanced Study Early Career Fellowship, Royal Society Student

Research and Travel Grant and HEC PhD Scholarships for PhD Studies.

He has more than 5 year of commercial work experience as a software

engineer and software project manager (Team Lead). He has developed

highly successful projects for Streaming Networks (Philips subsidiary),

Quartics LLC (USA) and APSTO Inc. His current research interests

involve biomedical image processing, pattern recognition and big data

analysis. He is collaborating with University of Warwick, UK and

University of Western Australia. He also has on-going collaborations

with Telenor (Pakistan) and World Tech Advisors (Australia).

Abstract The last decade or so has seen the rise of a new science of data

analysis referred to as Data Mining. Other names for the field include

Knowledge Discovery in Data and Knowledge Mining etc. and hence as

the name implies it is primarily concerned with acquisition of knowledge

from data through the applications of artificial intelligence techniques.

In a rapidly transforming world we have always been immersed in data

but the rise of high volume storage technology and better data capture

tools and technologies has made it possible to capture, store and

retrieve thousands of terrabytes of data. Hence, we see a proliferation

of data science in every field of human activity. From medical diagnosis

to reading texts on a letter all have become potential applications of

data mining. Data mining along with artificial intelligence has the

potential to lead to artificially intelligent machines that will be able to

do everything from performing a thorough medical check up to ordering

your favourite meal to advising you on the best investments for your

money. In this talk, I would discuss the rise of this new fascinating field

and how it is changing our world and would continue to do so in the

forseeable future. The talk would also present some latest research in

the field of digital pathology and handwritten text recognition carried

out in our group.

6 7

Conference Workshops

Programme MCAIT 2016 Conference

DAY 1

23rd August 2016(Tuesday)

DAY 2

24th August 2011(Wednesday)

DAY 1 (23rd August 2016 - TUESDAY)

0900 – 1700

Workshop I

Venue Hatten 3 (MCAIT)

“ROBOT OPERATING SYSTEM (ROS) WORKSHOP”

Recently, ROS (Robot Operating System) has been increasing in

popularity around the world and rapidly becoming a de facto

standard for writing interoperable and reusable robot software.

It provides libraries and tools to help software developers and

researchers create robot applications. ROS is being used for

many of the world's most exciting and capable robots, such as

in industry and entertainment. Additionally, developers can

learn and gain access freely to the comprehensive developer

community and support forum for ROS.

The ROS workshop at M-CAIT 2016 will primarily teach

participants how to use ROS in their robotics research and

development works. Both simulation and with real robots,

namely Turtlebot, will be used to gain some hands-on

experience on the ROS. The workshop is designed for beginners

and professionals, providing basic and intermediate concepts of

how the ROS works, such as for autonomous robot navigation

for SLAM, visualization and programming. Therefore, no

previous research or ROS experience is required.

Content

1. Introduction and overview to ROS

2. Using ROS simulation

3. Using ROS on Turtlebot for SLAM

4. Understanding ROS programming framework

DAY 2 (24th August 2011 - WEDNESDAY)

1430 – 1700

Workshop II

Venue Hatten 3 (MCAIT)

“AUGMENTED REALITY (AR) WORKSHOP”

Augmented Realty (AR) is a technology which combines real

and virtual worlds, by registering virtual objects with the real

world with AR, and making it interactive in real time. AR

applications are now available on most smartphones and

tablets. Digi-Capital expects that AR have extremely high

potential in society and they predict AR will be worth $150

billion by the year 2020.

The objective of the workshop is to give mobile AR application

development skills to participants using the Unity and Vuforia

platforms. This course starst with the theory and concept of AR.

Trainer will then provide hands-on examples to the participant.

The course will focus on using leveraging high-quality AR

frameworks like Vuforia and Unity 3D. Through the combination

of traditional lectures and hands-on work, participant will learn

to create their own basic AR application.

8 9

DAY 2

24th August 2011(Wednesday)

Conference Programme

DAY 1 (AFTERNOON)

(23 August 2016 – TUESDAY)

Venue: Ballroom 2B

Time Track /

Chairperson ID Title Authors

1400 - 1520

Data Mining and

Optimization

Chairperson : Adegoke Ojeniyi

7

Total Electron

Content Forecasting

by using Artificial

Neural Network

Rohaida Mat Akir,

Kalaivani

Chellappan,

Mardina Abdullah

and Alina Marie

Hasbi.

19

Validating an

Enhanced Dendrite

Cell Algorithm using

Statistical Analysis

Mohamad Farhan

Mohamad Mohsin,

Abdul Razak

Hamdan, Azuraliza

Abu Bakar and

Mohd Helmy Abd

Wahab.

22

Formal Analysis of an

Agent Support Model

for Behaviour Change

Intervention

Adegoke Ojeniyi,

Azizi Ab Aziz and

Yuhanis Yusof.

26

Exploring Imbalanced

Class Issue in

Handwritten Dataset

using Convolutional

Neural Networks and

Deep Belief Networks

A’inur A’fifah Amri,

Amelia Ritahani

Ismail, and

Abdullah Ahmad

Zarir

1520 BREAK

1430 – 1700

Workshop III

Venue Hatten 1 (CAMP’16)

“MULTIMEDIA INFORMATION RETRIEVAL" by Prof. Dr. Stefan Rüger

This tutorial will examine the challenges and opportunities of Multimedia Information Retrieval, ie, image, video and music search engines. Computer technology has changed our access to information tremendously We used to search authors or titles (which we had to know) in library cards in order to locate relevant books; now we can issue keyword searches within the full text of unimaginably large book repositories to identify the authors, titles and locations of relevant resources. What about the corresponding challenge of finding multimedia by fragments, examples and excerpts? Rather than asking for a music piece by artist and title, can we hum its tune to find it? Can doctors submit scans of a patient to identify medically similar images of diagnosed cases in a database? Can your mobile phone take a picture of a statue and return to you resources about its artist via a service that it sends this picture to? Some of the challenges of these questions are given by the semantic gap between what computers can index and high-level human concepts; related to this is an inherent technological limitation of automated annotation of images from pixels alone. Other challenges are given by polysemy, ie, the many meanings and interpretations that are inherent in visual material and the corresponding wide range of a user’s information need. This tutorial will demonstrate how these challenges can be tackled by automated processing and machine learning and by utilising the skills of the user, for example through harnessing and directing browsing activities with “relevance feedback”, thus putting the user centre stage. Other automated processing methods that discover and utilise world knowledge in the form of wikipedia (an online, linked, multilingual and open content

encyclopedia) will be shown to not only improve multimedia retrieval but also give surprising insights into the human nature.

11 10


DAY 1 (AFTERNOON) (23 August 2016 – TUESDAY)

Venue: Ballroom 2B (continue…)

Time Track /


1540 - 1700

Data Mining and

Optimization

Chairperson : Mansour Alssager

43

Detecting Relationship between Features and Sentiment Words using Hybrid of Typed Dependency Relations Layer and POS Tagging (TDR Layer POS Tags) Algorithm

Siti Rohaidah Ahmad, Mohd Ridzwan Yaakub and Azuraliza Abu Bakar.

44

Empirical Investigation of Feature Sets Effectiveness in Product Review Sentiment Classification

Nurfadhlina Mohd Sharef and Rozilah Rosli.

52

Comparative Analysis of Data Mining Techniques for Malaysian Rainfall Prediction

Suhaila Zainudin, Dalia Sami Jasim and Azuraliza Abu Bakar.

64

Cheapest Insertion Constructive Heuristic based on Two Combination Seed Customer Criterion for the Capacitated Vehicle Routing Problem

Mansour Alssager and Zulaiha Othman.

68

Water Flow-Like

Algorithm

Improvement Using K-

Opt Local Search

Wu Diyi, Zulaiha

Ali Othman,

Suhaila Zainudin

and Ayman Srour.

1720 END OF SESSION



Venue: Hatten 2

Time Track /


1400 - 1520

Pattern Analysis and Intelligent Robotics

Chairperson : Ashwaq M. S.

Qasem

14

A Study of

Atmospheric Particles

Removal in a Low

Visibility Outdoor

Single Image

Muhamad Lazim

Talib, Mohamad

Faidzul Nasarudin

and Siti Norul

Huda Sheikh

Abdullah.

18

Lumen-Nuclei

Ensemble machine

learning system for

diagnosing PRostate

cancer in

histopathology

images

Dheeb Albashish,

Shahnorbanun

Sahran, Azizi.

Abdullah,

Nordashima Abd

Shukor and Suria

Pauzi

23

An Accurate

Rejection Model for

False Positive

Reduction of Mass

Localization in

Mammogram

Ashwaq M. S.

Qasem, Siti Norul

Huda Sheikh

Abdullah,

Shahnorbanun

Sahran, Rizuana

Iqbal Hussain and

Fuad Ismail.

24

Binarization via the

Dynamic Histogram

and Window Tracking

for Degraded Textual

Images

Siti Rachma,

Khairuddin Omar,

Siti Norul Huda

Sheikh Abdullah

and and Choong-

Yeun Liong

1520 BREAK

13 12



Venue: Hatten 2 (continue…)

Time Track /


1540 - 1700

Pattern Analysis and

Intelligent Robotics

Chairperson : Norashikin M.

Thamrin

25

Robustness

Watermarking

Authentication Using

Hybridization DWT-

DCT and DWT-SVD

Atheer Al-Naqeeb

and Md Jan Nordin

Md Jan Nordin.

46

A Framework for

Authentication of

Digital Quran

Saqib Hakak,

Amirrudin Kamsin,

Mohd. Yamani

Idna Idris,

Abdullah Gani and

Zerdoumi Saber.

53

Applying Fourier-

Transform Infrared

Spectroscopy and Self-

Organizing Maps for

Forensic Classification

of White-Copy Papers

Loong Chuen Lee,

Choong-Yeun

Liong and Abdul

Aziz Jemain.

78

Inter-Row Tree

Detection and Tracking

Schemes For Structural

Plantation Area

Norashikin M.

Thamrin, Nor

Hashim Mohd,

Ramli Adnan and

Rosidah Sam.

57

Performance

Comparison of Min-

Max Normalization on

Frontal Face Detection

Using Haar Classifiers

Haslina Arshad, Ali

Garba Garba,

Jamilu Awwalu,

Shahnorbanun

Sahran and A.F.M.

Saifuddin Saif.

1720 END OF SESSION


DAY 2 (MORNING) (24 August 2016 – WEDNESDAY)

Venue: Ballroom 2A

Time Track /


1020 -

1140

Data Mining and

Optimization

Chairperson : Esam Yassen

30

A constructive

Heuristic for Police

Patrol Routing

Problem

Esam Yassen, Anas

Arram, Masri Ayob

and Mohd Zakree

Ahmad Nazri

38

An Agglomerative

Hierarchical

Clustering with

Various Distance

Measurements for

Ground Level

Ozone Clustering in

Putrajaya, Malaysia

Mahmoud Sammour

and Zulaiha

Othman.

51

Nonlinear

Regression in Tax

Evasion with

Uncertainty: a

Variational

approach

Mohamad

Mobasher-Kashani,

Masri Ayob,

Azuraliza Abu

Bakar, Razieh

Tanabandeh,

Kourosh Taheri and

M.-H Tayarani- N.

50

Accelerator-Based

Human Activity

Recognition Using

Voting Technique

with NBTree and

MLP Classifiers

Muhammad Sufyian

Mohd Azmi and Md

Nasir Sulaiman.

1140 BREAK

15 14



Venue: Ballroom 2A (continue…)

Time Track /


1150 - 1320

Data Mining and

Optimization

Chairperson : Moaath

Shatnawi

69

A Water Flow-Like

Algorithm With

Simulated Annealing

For Travelling

Salesman Problem

Nasser Ahmed

Rasheed, Zulaiha

Ali Othman,

Ayman Srour and

Wu Diyi.

70

A Novel DNA Sequence

Approach for Network

Intrusion Detection

System based on

Cryptography Encoding

Method

Omar Fitian,

Zulaiha Ali

Othman and

Suhaila Zainudin.

71

Local Outlier Factor in

Rough K-means

Clustering

Khaled Ali, Md.

Nasir Sulaiman,

Norwati Mustapha

and Nurfadhlina

Mohd.

73

A new initialization

technique in polar

coordinates for Particle

Swarm Optimization

and Polar PSO

Moaath Shatnawi,

Mohammad

Faidzul Nasrudin

and

Shahnorbanun

Sahran.

1320 LUNCH



Venue: Ballroom 2B

Time Track /


1020 - 1140

Pattern

Analysis and Intelligent Robotics

Chairperson : Seyed Mostafa

Mousavi Kahaki

74

Blood Cancer Cell

Classification based

on Geometric Mean

Transform and

Dissimilarity Metrics

Seyed Mostafa

Mousavi Kahaki,

Sophia Jamila

Zahra, Md Jan

Nordin, Waidah

Ismail and Rosline

Hassan.

32

Invariant Feature

Descriptor based on

Harmonic Image

Transform for Plant

Leaf Retrieval

Sophia Jamila

Zahra, Riza

Sulaiman, Anton

Santira P. and

Seyed Mostafa

Mousavi Kahaki

81

Ensemble of Bayesian

Filters for Loop

Closure Detection

Mohammed Omar

Salameh, Azizi

Abdullah and

Shahnorbanun

Sahran.

55

Detection and

Extraction Of

Oesophagus

Epithelial Layer From

Virtual Pathology

Slides.

Afzan Adam,

Bulpitt Andrew J.

and Treanor

Darren.

1140 BREAK

17 16




Time Track /


1150 - 1320



Chairperson : Nur Atikah

Arbain

4

Dynamic Similarity

Distance with Mean

Average Precisions

Tool

Nur Atikah Arbain,

Mohd Sanusi Azmi,

Sharifah Sakinah

Syed Ahmad, Azah

Kamilah Muda,

Intan Ermahani A.

Jalil and King Ming

Tiang.

8

Improved

Architecture Of

Speaker Recognition

Based On Wavelet

Transform And Mel

Frequency Cepstral

Coefficient

N. Ashikin Rahman,

Noor Azilah Muda

and Norashikin

Ahmad

10

External Constraints

of Neural Cognition

for CIMB Stock

Closing PRice

Prediction

Grace Chang, Kim

On Chin, Kim Soon

Gan, Rayner Alfred

and Anthony

Patricia.

13

Detection on Straight

Line Problem in

Triangle Geometry

Features for Digit

Recognition

Nur Atikah Arbain,

Mohd Sanusi Azmi,

Sharifah Sakinah

Syed Ahmad,

Radzuan Nordin,

Mohd Zaki Mas'Ud

and Masitah Abdul

Lateh.

1320 LUNCH



Venue: Hatten 3

Time Track /


1020 - 1140

Semantic Technology

and Information

Retrieval

Chairperson : Jabril Ramdan

9

Social Network

Mining: A Definition

of Relation between

the Resources and

SNA

Mahyuddin K. M.

Nasution

11

A Novel method to

detect segmentation

points of Arabic

words using peaks

and neural network

Jabril Ramdan,

Khairuddin Omar

and Mohammad

Faidzul.

12

Comparison of

Machine Learning

Algorithms on Arabic

Twitter Sentiment

Analysis

Merfat.M.

Altawaier, Sabrina

Tiun

16 Sentiment Analysis or

Opinion Mining: A

Review

Bilal Saberi and

Saidah Saad.

1140 BREAK

18 19




Time Track /


1150 -

1320

Semantic Technology

and

Information Retrieval

Chairperson : Fatihah Ramli

21

Representing

Semantics Of Text By

Acquiring Its

Canonical Form

Mohammed Ahmed

Taiye, Siti Sakira

Kamaruddin and

Farzana Kabir

Ahmad.

39

Defeasible Policy

Language for Online

Social Networks

Mahdi

Rohaninezhad,

Shahrul Azman

Mohd Noah and

Shereena Mohd Arif.

40

Arabic Rule-Based

Named Entity

Recognition Systems:

Progress and

Challenges

Ramzi Salah and

Lailatul Qadri

Zakaria.

42

Building an Event

Ontology For

Historical Domain To

Support Semantic

Document Retrieval

Fatihah Ramli and

Shahrul Azman

Mohd Noah.

1320 LUNCH


DAY 2 (AFTERNOON) (24 August 2016 – WEDNESDAY)

Venue: Ballroom 2A

Time Track /


1430 - 1550

Industrial Computing

Chairperson : Waqas Khalid

Obeidy

59

Identification of

Vehicle Plate

Number Using

Optical Character

Recognition: A

Mobile Application

Haslina Arshad,

Rimaniza Zainal

Abidin and Waqas

Khalid Obeidy.

60

An Interactive

Mobile Application

for Halal Products

Identification based

on Augmented

Reality

Haslina Arshad,

Saidatul A’isyah Bt

Ahmad Shukri and

Waqas Khalid

Obeidy.

66

E-supply Chain

Management

Initiatives in

Malaysia Public

Transportation

Amni Husna Mohd

Nashir and Syaimak

Abdul Shukor

79

Framework based

on Mobile

Augmented Reality

for Translating Food

Menu in Thai

Language to Malay

Language

Muhammad Pu,

Nazatul Aini Abd

Majid and Bahari

Idrus

1550 BREAK

21 20



Venue: Ballroom 2A (continue…)

Time Track /


1600 - 1730


Chairperson :

Mohamad Hidir Mohd

Salim

82

Mobile Application on

Healthy Diet for Elderly

based on Persuasive

Design

Mohamad Hidir

Mohd Salim,

Nazlena Mohamad

Ali and Shahrul

Azman Mohd

Noah.

83

Rule-based Procedural

Generation of Item in

2D Role-Playing Game

Chin Kim On,

Jason Teo, Ng Wai

Fong, Ag Asri Ag

Ibrahim and Tan

Tse Guan.

33

Classification of

Problems using

Cladistics Approach for

Rapid Simulation Model

Building in Cellular

Manufacturing

Zainal Rasyid

Mahayuddin and

Nur Afiqah

Khairuddin

1730 END OF SESSION



Venue: Ballroom 2B

Time Track /


1430 - 1550


Chairperson : Ali Taei Zadeh

27

Automated Service

Identification

Methods: A Review

Ali Taei Zadeh,

Shahnorbanun

Sahran and

Muriati Mukhtar.

29

Radio-Controller vs.

Computer Keyboard

in Multirotor

Unmanned Aerial

Vehicle Navigation

Zainal Rasyid

Mahayuddin,

Hairina Mohd Jais

and Haslina

Arshad

31

Adapting Non-

Standard - Weighted

Average Approach on

Lotka-Volterra Model

Mohammad

Khatim Hasan and

Shahrizan Mazlan.

58

An Efficient Cloud

based Image Target

Recognition SDK for

Mobile Application

Haslina Arshad,

Lam Meng Chun,

Waqas Khalid

Obeidy and Tan

Siok Yee.

1550 BREAK

22 23




Time Track /


1600 - 1730


Chairperson : Wael Elsersy

34

New Hybrid Two-Step

Method for

Simulating Lotka-

Volterra Model

Mohammad Khatim

Hasan and Noor

Ashikin Othman.

35

Assessing The

Determinants Of

Cloud Computing

Services For Utilizing

Health Information

Systems: A

Preliminary Study On

Iraqi Public

Healthcare Sector

Ahmed Meri

Kadhum and

Mohammad Khatim

Hasan.

49 Android Malware

Detection using Deep

Belief Network

Wael Elsersy and

Nor Badrul Anuar.

1730 END OF SESSION



Venue: Hatten 3

Time Track /


1430 - 1550

Semantic Technology

and

Information Retrieval

AND



Chairperson : Norlia Mohd

Yusof

48

A Comparative

Review of Machine

Learning for Arabic

Named Entity

Recognition

Ramzi Salah and

Lailatul Qadri

Zakaria.

61 A Sign Language to

Text Converter Using

Leap Motion

Fazlur Rahman

Khan, Huey Fang

Ong and

Nurhidayah Bahar.

72

An Ontological

Approach to

Constraint-Based

Design Case

Adaptation

Norlia Mohd Yusof,

Shahrul Azman

Mohd Noah and

Samirah Taufiq

Abdul Wahid.

63

Multisensor

Automatic Balancing

Model for Darwin-OP

On Uneven Terrain

Muhamad

Khuzaifah Ismail,

Meng Cheng Lau,

Mohammad

Faidzul Nasrudin

and Haslina

Arshad.

1550 BREAK

24 25




Time Track /


1600 -

1730

Pattern Analysis and Intelligent Robotics

Chairperson :

Dheeb

Albashish

67

Fuzzy Logic Based

EKF for Mobile

Robot Navigation:

An Analysis of

Different Fuzzy

Membership

Functions

Hamzah Ahmad

and Nur Aqilah

Othman

75

Ensemble Learning

of Tissue

Components for

Prostate

Histopathology

Image Grading

Dheeb Albashish,

Shahnorbanun

Sahran, Azizi

Abdullah,

Nordashima Abd

Shukor and Suria

Pauzi.

77

Application of Fuzzy

Logic in Multi-Mode

Driving for a Battery

Electric Vehicle

Energy Management

Tengku Azman

Tengku Mohd, M.K.

Hassan, Ishak Aris,

Azura C.S and

B.S.K.K Ibrahim.

80

Back Propagation

Neural Ensemble for

Localizing and

Recognizing Non-

Standardized

Malaysia’s Car

Plates

Chin Kim On, Teo

Kein Yao, Rayner

Alfred, Jason Teo,

Patricia Anthony

and Wang Cheng.

1730 END OF SESSION

26

Documents

The 3rd International Multi-Conference on Artificial ... · Assoc. Prof. Dr. Mohamad Khatim Hasan Technical Program Committee Assoc. Prof. Dr. Shahnorbanun Sahran Dr. Lailatul Qadri