Download The 3rd International Multi-Conference on Artificial Intelligence

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”
The 3rd International Multi-Conference on
Artificial Intelligence Technology (M-CAIT 2016)
23 - 24 August 2016
Hatten Hotel, Malacca, Malaysia
CONFERENCE SCHEDULE
DAY 1: 23 AUGUST 2016 (TUESDAY)
0800 – 0900
Registration (Venue Level 11)
KeyNote Address 1
Venue Level 11 - The Ballroom 2A
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
0900 – 1000
Speaker PROF. DR. YUEFENG LI
Title Learning Personalized Ontology for Interpretation of
Discovered Knowledge in Massive Text Information
1000 – 1020
TEA BREAK
KeyNote Address 2
Venue Level 11 - The Ballroom 2A
1020 -1120
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
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
The 3rd International Multi-Conference on
Artificial Intelligence Technology (M-CAIT 2016)
23 - 24 August 2016
Hatten Hotel, Malacca, Malaysia
The 3rd International Multi-Conference on
Artificial Intelligence Technology (M-CAIT 2016)
23 - 24 August 2016
Hatten Hotel, Malacca, Malaysia
CONFERENCE SCHEDULE
CONFERENCE SCHEDULE
DAY 1: 23 AUGUST 2016 (TUESDAY)
DAY 2 24 AUGUST 2016 (WEDNESDAY)
0800 – 0900
0900 – 1230
0800 – 0900
Registration (Venue Level 11)
KeyNote Address 3
Venue Level 11 – Ballroom 2A
Workshop I
Venue Hatten 3 (MCAIT)
“Robot Operating System (ROS) Workshop”
1230 – 1400
0900 – 1000
LUNCH
1700
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
Continue : Workshop I
Venue Hatten 3 (MCAIT)
1400 – 1700
Registration (Venue Level 11)
1000 – 1020
TEA BREAK
1020 -1320
Parallel Session 2
Venue Ballroom 2A and Ballroom 2B and Hatten 3
1320 – 1430
LUNCH
“Robot Operating System (ROS) Workshop”
END OF SESSION
Parallel Session 3
Venue Ballroom 2A and Ballroom 2B
1430 – 1550
Wokshop II
Venue Hatten 3
Augmented Reality (AR)
Wokshop III
Venue Hatten 1
Multimedia Information Retrieval
2
1550 – 1600
BREAK
1600 – 1730
Continue Parallel Session and Workshop
1730
END OF SESSION
3
Details of Keynote Speakers 1
The 3rd International Multi-Conference on
Artificial Intelligence Technology (M-CAIT 2016)
23 - 24 August 2016
Hatten Hotel, Malacca, Malaysia
Keynote
Speaker 1
PROF. DR. YUEFENG LI
CONFERENCE SCHEDULE
OPENING AND MOU SIGNING CEREMONY
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
Title
Biodata
Abstract
LUNCH
4
Learning Personalized Ontology for Interpretation of Discovered
Knowledge in Massive Text Information
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.
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.
5
Details of Keynote Speakers 2
Keynote
Speaker 2
Details of Keynote Speakers 3
Keynote
Speaker 3
PROF. DR. STEFAN RÜGER
Title
Title
Biodata
Abstract
Biodata
Visual mining - interpreting image and video
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.
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 nearduplicate 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.
6
Abstract
ASSISTANT PROF. DR. HAMMAD A.QURESHI
Artificial Intelligence and Data Mining shaping a New World Applications
from Digital Pathology to Text Recognition
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).
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.
7
Conference Workshops
Programme
MCAIT 2016 Conference
DAY 1
23rd August 2016(Tuesday)
DAY 2
24th August 2011(Wednesday)
DAY 2 (24th August 2011 - WEDNESDAY)
DAY 1 (23rd August 2016 - TUESDAY)
0900 –
1700
1430 –
1700
Workshop I
Workshop II
Venue Hatten 3 (MCAIT)
Venue Hatten 3 (MCAIT)
“AUGMENTED REALITY (AR) WORKSHOP”
“ROBOT OPERATING SYSTEM (ROS) 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.
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 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.
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
8
9
DAY 2
24th August 2011(Wednesday)
1430 –
1700
Conference Programme
DAY 1 (AFTERNOON)
Workshop III
(23 August 2016 – TUESDAY)
Venue Hatten 1 (CAMP’16)
Venue: Ballroom 2B
“MULTIMEDIA INFORMATION RETRIEVAL" by
Prof. Dr. Stefan Rüger
Time
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?
10
ID
Data Mining
and
Optimization
Title
Rohaida Mat Akir,
Kalaivani
Chellappan,
Mardina Abdullah
and Alina Marie
Hasbi.
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
19
1400 1520
Chairperson :
Adegoke
Ojeniyi
1520
Authors
Total Electron
Content Forecasting
by using Artificial
Neural Network
7
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.
Track /
Chairperson
BREAK
11
Time
Conference Programme
DAY 1 (AFTERNOON)
Conference Programme
DAY 1 (AFTERNOON)
(23 August 2016 – TUESDAY)
(23 August 2016 – TUESDAY)
Venue: Ballroom 2B (continue…)
Venue: Hatten 2
Track /
Chairperson
ID
Title
Authors
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
Data Mining
and
Optimization
1540 1700
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.
Water Flow-Like
Algorithm
Improvement Using KOpt Local Search
Wu Diyi, Zulaiha
Ali Othman,
Suhaila Zainudin
and Ayman Srour.
Chairperson :
Mansour
Alssager
68
1720
Empirical Investigation
of Feature Sets
Effectiveness in
Product Review
Sentiment
Classification
Time
Track /
Chairperson
ID
Title
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.
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
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.
Binarization via the
Dynamic Histogram
and Window Tracking
for Degraded Textual
Images
Siti Rachma,
Khairuddin Omar,
Siti Norul Huda
Sheikh Abdullah
and and ChoongYeun Liong
18
1400 1520
Pattern
Analysis and
Intelligent
Robotics
Chairperson :
Ashwaq M. S.
Qasem
23
24
1520
Authors
BREAK
END OF SESSION
12
13
Time
Conference Programme
DAY 1 (AFTERNOON)
Conference Programme
DAY 2 (MORNING)
(23 August 2016 – TUESDAY)
(24 August 2016 – WEDNESDAY)
Venue: Hatten 2 (continue…)
Venue: Ballroom 2A
Track /
Chairperson
ID
25
46
1540 1700
Pattern
Analysis and
Intelligent
Robotics
53
Chairperson :
Norashikin M.
Thamrin
78
57
1720
Title
Robustness
Watermarking
Authentication Using
Hybridization DWTDCT and DWT-SVD
A Framework for
Authentication of
Digital Quran
Time
Authors
Atheer Al-Naqeeb
and Md Jan Nordin
Md Jan Nordin.
Loong Chuen Lee,
Choong-Yeun
Liong and Abdul
Aziz Jemain.
Inter-Row Tree
Detection and Tracking
Schemes For Structural
Plantation Area
Norashikin M.
Thamrin, Nor
Hashim Mohd,
Ramli Adnan and
Rosidah Sam.
ID
30
Saqib Hakak,
Amirrudin Kamsin,
Mohd. Yamani
Idna Idris,
Abdullah Gani and
Zerdoumi Saber.
Applying FourierTransform Infrared
Spectroscopy and SelfOrganizing Maps for
Forensic Classification
of White-Copy Papers
Performance
Comparison of MinMax Normalization on
Frontal Face Detection
Using Haar Classifiers
Track /
Chairperson
38
Data Mining
and
Optimization
1020 1140
Chairperson :
Esam Yassen
51
50
Haslina Arshad, Ali
Garba Garba,
Jamilu Awwalu,
Shahnorbanun
Sahran and A.F.M.
Saifuddin Saif.
1140
Title
Authors
A constructive
Heuristic for Police
Patrol Routing
Problem
Esam Yassen, Anas
Arram, Masri Ayob
and Mohd Zakree
Ahmad Nazri
An Agglomerative
Hierarchical
Clustering with
Various Distance
Measurements for
Ground Level
Ozone Clustering in
Putrajaya, Malaysia
Mahmoud Sammour
and Zulaiha
Othman.
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.
Accelerator-Based
Human Activity
Recognition Using
Voting Technique
with NBTree and
MLP Classifiers
Muhammad Sufyian
Mohd Azmi and Md
Nasir Sulaiman.
BREAK
END OF SESSION
14
15
Conference Programme
DAY 2 (MORNING)
Conference Programme
DAY 2 (MORNING)
(24 August 2016 – WEDNESDAY)
(24 August 2016 – WEDNESDAY)
Venue: Ballroom 2B
Venue: Ballroom 2A (continue…)
Time
Track /
Chairperson
ID
69
Data Mining
and
Optimization
70
1150 1320
Chairperson :
Moaath
Shatnawi
71
73
1320
Title
A Water Flow-Like
Algorithm With
Simulated Annealing
For Travelling
Salesman Problem
Nasser Ahmed
Rasheed, Zulaiha
Ali Othman,
Ayman Srour and
Wu Diyi.
A Novel DNA Sequence
Approach for Network
Intrusion Detection
System based on
Cryptography Encoding
Method
Omar Fitian,
Zulaiha Ali
Othman and
Suhaila Zainudin.
Local Outlier Factor in
Rough K-means
Clustering
Khaled Ali, Md.
Nasir Sulaiman,
Norwati Mustapha
and Nurfadhlina
Mohd.
A new initialization
technique in polar
coordinates for Particle
Swarm Optimization
and Polar PSO
Time
Authors
Track /
Chairperson
ID
74
Pattern
Analysis and
Intelligent
Robotics
32
1020 1140
Chairperson :
Seyed Mostafa
Mousavi
Kahaki
Moaath Shatnawi,
Mohammad
Faidzul Nasrudin
and
Shahnorbanun
Sahran.
81
55
LUNCH
1140
16
Title
Authors
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.
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
Ensemble of Bayesian
Filters for Loop
Closure Detection
Mohammed Omar
Salameh, Azizi
Abdullah and
Shahnorbanun
Sahran.
Detection and
Extraction Of
Oesophagus
Epithelial Layer From
Virtual Pathology
Slides.
Afzan Adam,
Bulpitt Andrew J.
and Treanor
Darren.
BREAK
17
Time
Conference Programme
DAY 2 (MORNING)
Conference Programme
DAY 2 (MORNING)
(24 August 2016 – WEDNESDAY)
(24 August 2016 – WEDNESDAY)
Venue: Ballroom 2B (continue…)
Venue: Hatten 3
Track /
Chairperson
ID
4
1150 1320
Pattern
Analysis and
Intelligent
Robotics
Chairperson :
Nur Atikah
Arbain
8
10
Title
Dynamic Similarity
Distance with Mean
Average Precisions
Tool
Authors
Time
Nur Atikah Arbain,
Mohd Sanusi Azmi,
Sharifah Sakinah
Syed Ahmad, Azah
Kamilah Muda,
Intan Ermahani A.
Jalil and King Ming
Tiang.
1320
ID
9
Improved
Architecture Of
Speaker Recognition
Based On Wavelet
Transform And Mel
Frequency Cepstral
Coefficient
N. Ashikin Rahman,
Noor Azilah Muda
and Norashikin
Ahmad
External Constraints
of Neural Cognition
for CIMB Stock
Closing PRice
Prediction
Grace Chang, Kim
On Chin, Kim Soon
Gan, Rayner Alfred
and Anthony
Patricia.
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.
1020 1140
Semantic
Technology
and
Information
Retrieval
Chairperson :
Jabril Ramdan
11
12
16
1140
13
Track /
Chairperson
Title
Authors
Social Network
Mining: A Definition
of Relation between
the Resources and
SNA
Mahyuddin K. M.
Nasution
A Novel method to
detect segmentation
points of Arabic
words using peaks
and neural network
Jabril Ramdan,
Khairuddin Omar
and Mohammad
Faidzul.
Comparison of
Machine Learning
Algorithms on Arabic
Twitter Sentiment
Analysis
Merfat.M.
Altawaier, Sabrina
Tiun
Sentiment Analysis or
Opinion Mining: A
Review
Bilal Saberi and
Saidah Saad.
BREAK
LUNCH
18
19
Time
1150 1320
Conference Programme
DAY 2 (MORNING)
Conference Programme
DAY 2 (AFTERNOON)
(24 August 2016 – WEDNESDAY)
(24 August 2016 – WEDNESDAY)
Venue: Hatten 3 (continue…)
Venue: Ballroom 2A
Track /
Chairperson
Semantic
Technology
and
Information
Retrieval
Chairperson :
Fatihah Ramli
1320
ID
Title
21
Representing
Semantics Of Text By
Acquiring Its
Canonical Form
Mohammed Ahmed
Taiye, Siti Sakira
Kamaruddin and
Farzana Kabir
Ahmad.
Defeasible Policy
Language for Online
Social Networks
Mahdi
Rohaninezhad,
Shahrul Azman
Mohd Noah and
Shereena Mohd Arif.
39
Authors
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.
Time
Track /
Chairperson
ID
59
Industrial
Computing
60
1430 1550
Chairperson :
Waqas Khalid
Obeidy
66
79
LUNCH
1550
20
Title
Authors
Identification of
Vehicle Plate
Number Using
Optical Character
Recognition: A
Mobile Application
Haslina Arshad,
Rimaniza Zainal
Abidin and Waqas
Khalid Obeidy.
An Interactive
Mobile Application
for Halal Products
Identification based
on Augmented
Reality
Haslina Arshad,
Saidatul A’isyah Bt
Ahmad Shukri and
Waqas Khalid
Obeidy.
E-supply Chain
Management
Initiatives in
Malaysia Public
Transportation
Amni Husna Mohd
Nashir and Syaimak
Abdul Shukor
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
BREAK
21
Conference Programme
DAY 2 (AFTERNOON)
Conference Programme
DAY 2 (AFTERNOON)
(24 August 2016 – WEDNESDAY)
(24 August 2016 – WEDNESDAY)
Venue: Ballroom 2B
Venue: Ballroom 2A (continue…)
Time
Track /
Chairperson
ID
82
Industrial
Computing
83
1600 1730
Chairperson :
Mohamad
Hidir Mohd
Salim
33
Title
Authors
Mobile Application on
Healthy Diet for Elderly
based on Persuasive
Design
Mohamad Hidir
Mohd Salim,
Nazlena Mohamad
Ali and Shahrul
Azman Mohd
Noah.
Rule-based Procedural
Generation of Item in
2D Role-Playing Game
Classification of
Problems using
Cladistics Approach for
Rapid Simulation Model
Building in Cellular
Manufacturing
Time
ID
Industrial
Computing
Chin Kim On,
Jason Teo, Ng Wai
Fong, Ag Asri Ag
Ibrahim and Tan
Tse Guan.
Zainal Rasyid
Mahayuddin and
Nur Afiqah
Khairuddin
Authors
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 NonStandard - Weighted
Average Approach on
Lotka-Volterra Model
Mohammad
Khatim Hasan and
Shahrizan Mazlan.
An Efficient Cloud
based Image Target
Recognition SDK for
Mobile Application
Haslina Arshad,
Lam Meng Chun,
Waqas Khalid
Obeidy and Tan
Siok Yee.
1430 1550
Chairperson :
Ali Taei Zadeh
Title
Automated Service
Identification
Methods: A Review
27
58
1550
1730
Track /
Chairperson
BREAK
END OF SESSION
22
23
Time
Conference Programme
DAY 2 (AFTERNOON)
Conference Programme
DAY 2 (AFTERNOON)
(24 August 2016 – WEDNESDAY)
(24 August 2016 – WEDNESDAY)
Venue: Ballroom 2B (continue…)
Venue: Hatten 3
Track /
Chairperson
ID
Title
34
New Hybrid Two-Step
Method for
Simulating LotkaVolterra Model
Mohammad Khatim
Hasan and Noor
Ashikin Othman.
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.
Android Malware
Detection using Deep
Belief Network
Wael Elsersy and
Nor Badrul Anuar.
Industrial
Computing
35
1600 1730
Chairperson :
Wael Elsersy
49
Authors
Time
Track /
Chairperson
48
Semantic
Technology
and
Information
Retrieval
61
Title
1430 1550
Pattern
Analysis and
Intelligent
Robotics
72
63
Ramzi Salah and
Lailatul Qadri
Zakaria.
A Sign Language to
Text Converter Using
Leap Motion
Fazlur Rahman
Khan, Huey Fang
Ong and
Nurhidayah Bahar.
An Ontological
Approach to
Constraint-Based
Design Case
Adaptation
Norlia Mohd Yusof,
Shahrul Azman
Mohd Noah and
Samirah Taufiq
Abdul Wahid.
Multisensor
Automatic Balancing
Model for Darwin-OP
On Uneven Terrain
Muhamad
Khuzaifah Ismail,
Meng Cheng Lau,
Mohammad
Faidzul Nasrudin
and Haslina
Arshad.
END OF SESSION
1550
24
Authors
A Comparative
Review of Machine
Learning for Arabic
Named Entity
Recognition
AND
Chairperson :
Norlia Mohd
Yusof
1730
ID
BREAK
25
Conference Programme
DAY 2 (AFTERNOON)
(24 August 2016 – WEDNESDAY)
Venue: Hatten 3 (continue…)
Time
Track /
Chairperson
ID
67
1600
1730
Pattern
Analysis and
Intelligent
Robotics
75
Chairperson :
Dheeb
Albashish
77
80
1730
Title
Authors
Fuzzy Logic Based
EKF for Mobile
Robot Navigation:
An Analysis of
Different Fuzzy
Membership
Functions
Hamzah Ahmad
and Nur Aqilah
Othman
Ensemble Learning
of Tissue
Components for
Prostate
Histopathology
Image Grading
Dheeb Albashish,
Shahnorbanun
Sahran, Azizi
Abdullah,
Nordashima Abd
Shukor and Suria
Pauzi.
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.
Back Propagation
Neural Ensemble for
Localizing and
Recognizing NonStandardized
Malaysia’s Car
Plates
Chin Kim On, Teo
Kein Yao, Rayner
Alfred, Jason Teo,
Patricia Anthony
and Wang Cheng.
END OF SESSION
26