conference program

Transcription

conference program

February 2-3, 2015
 ICIT 2015
2015 International Conference on Information Technology
 ICIMA 2015
2015 3rd International Conference on Intelligent Mechatronics and Automation
 ICKE 2015
2015 International Conference on Knowledge Engineering
 ICOIA 2015
2015 2nd International Conference on Intelligent Agriculture
 ICIIN 2015
2015 4th International Conference on Intelligent Information Networks
QUALITY HOTEL MARLOW
www.qualityhotelmarlow.com.sg
Add: 201 Balestier Road Singapore 329926
Email: owen.yee@qualityhotelmarlow.com.sg| Tel: (65)6355 9988 | Fax: (65) 6255 0998
Programme
2015 SINGAPORE CONFERENCES
WELCOME LETTER
3
OVERVIEW
4
KEYNOTES
6
DETAILED SCHEDULE
9
SESSION 1: Robotics and Automation
11
SESSION 2: Network and Communication Engineering
13
SESSION 3: Data Mining
16
SESSION 4: Cloud Computing and Algorithms
19
SESSION 5: Software Engineering and E-learning
22
SESSION 6: IT and its Applications
26
CALL FOR PAPERS
31
FEEDBACK
37
2
Dear Participants,
Welcome to 2015 Singapore Conferences! We are confident that over the three days you will get the
theoretical grounding, practical knowledge, and personal contacts that will help you build a long-term,
profitable and sustainable communication among researchers and practitioners in a wide variety of scientific
areas with a common interest.
For the conferences, we had received more than 160 submissions, and around 65 excellent papers were
accepted for presentation. Congratulations for these papers.
We wish to thank our outstanding keynote speakers Prof. Maode Ma, Dr. Ka Wai Gary Wong, and Prof.
Chiharu Ishll for sharing their deep insights on Information Technology, Intelligent Mechatronics and
Automation, and Knowledge Engineering.
Special thanks also go to all the researchers and students who participate in the conference with their work.
Hope you enjoy the conference, the food, the hospitality, and the beautiful and charming environment of the
city of Singapore!
IACT Conference Organizing Committee
3
Conference Agenda Overview
Monday, Feb. 2, 2015
10 :00 am to 5:00 pm
Lobby
Arrival and Registration
Tuesday, Feb. 3, 2015
Opening Ceremonies
8:45am to 9:00am
Prof. Maode Ma
Nanyang Technological University, Singapore
Keynote Address-1:
9:00am to 9:50am
Prof. Maode Ma
9:50am to 10:10am
Group Photo & Coffee Break
Quality Ballroom
Keynote Address-2:
10:10am to 11:00am
Dr. Ka Wai Gary Wong
The Hong Kong Institute of Education, Hong Kong
11:00am to 11:50pm
Prof. Chiharu Ishll
Hosei University, Japan
12:00pm to 1:30pm
Lunch
Keynote Address-3:
Restaurant
Session 1: Robotics and Automation——9 presentations
Session 2: Network and Communication Engineering——10
1:30pm to 3:50pm
Diamond Room
presentations
Emerald Room
Session 3: Data Mining——10 presentations
3:50pm to 4:10pm
Quality Ballroom
Coffee Break
Session
4:
Cloud
Computing
and
Algorithms——11
Quality Ballroom
Session 5: Software Engineering and E-learning——12
Diamond Room
presentations
4:10pm to 6:30pm
presentations
Session 6: IT and its Applications ——12 presentations
6: 30pm to 8:30pm
Emerald Room
Restaurant
Dinner
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Instructions for Oral Presentations
Devices Provided by the Conference Organizer:
 Laptops (with MS-Office & Adobe Reader)
 Projectors & Screen
 Laser Sticks
Materials Provided by the Presenters:
 PowerPoint or PDF files
 Duration of each Presentation (Tentatively):
 Regular Oral Session: about 15 Minutes of Presentation, including 2-3
Minutes of Q&A

Plenary Speech: 50 Minutes of Presentation, including 5 Minutes of Q&A
NOTICE:
 *Certificate of Participation can be collected in front of the registration counter.
 *Certificate of Presentation will be issued at the end of each session by the session chair
 *The organizer will not provide accommodation, so we suggest you make an early reservation.
 *One best presentation will be selected from each session. The best one will be announced when each
session ends, and the certificate will be awarded by the session chair after each session in the meeting
room.
 *The attendee should provide the author’s authorization or attendee’s passport ID when the attendee is
none of the authors.
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Security Enhancements over the Communication Networks in
Smart Grid
Prof. Maode Ma
Abstract:
The ever growing demand of energy all over the world has compelled a shift from the traditional power distribution system
to a more sustainable and efficient system incorporating the advances of information technology and communication and
networking technologies. This new energy infrastructure is envisioned not only to provide more optimal energy consumption
and better real-time power requirement assessment but also to incorporate renewable energy generation sources at both
consumer and provider sides for environment friendly power generation.
The implementation of such infrastructure demands the deployment of efficient communication networks among various
entities of the smart grid system. The architecture of the networks tends to be highly distributed, heterogeneous and complex,
incorporating different communication standards and resources. The complexity of the communication networks provides
various venues for the adversaries to compromise the communication networks of the smart grid system. The corresponding
consequences resulting from these vulnerabilities can range from minimal harm, to entire system shutdown. Such impacts
may lead to economic collapse, terrorist invasion and even loss of lives.
In this talk, we investigate the security aspects of the home area networks (HANs) and neighborhood area networks (NANs)
to support the operation of the smart grid in detail. We explore the vulnerabilities of the HANs and NANs under various
malicious attacks and review current major solutions to protect the networks from those attacks. We further discuss the
potential research issues to enhance the security functionality of the communication networks in the smart grid. As an
example, we will present our recent solution to enhance the security functionality of the HANs in the smart grid.
Biography:
Dr. Maode Ma received his Ph.D. degree in computer science from Hong Kong University of Science and Technology in
1999. Now, Dr. Ma is an Associate Professor in the School of Electrical and Electronic Engineering at Nanyang
Technological University in Singapore. He has extensive research interests including wireless networking and network
security. He has led and/or participated in 18 research projects funded by government, industry, military and universities in
various countries. He has been a general chair, technical symposium chair, tutorial chair, publication chair, publicity chair
and session chair for more than 70 international conferences. He has been a member of the technical program committees for
more than 180 international conferences. Dr. Ma has more than 260 international academic publications including more than
110 journal papers and 150 conference papers. He currently serves as the Editor-in-Chief of International Journal of
Computer and Communication Engineering and International Journal of Electronic Transport. He also serves as a Senior
Editor for IEEE Communications Surveys and Tutorials, and an Associate Editor for International Journal of Network and
Computer Applications, International Journal of Security and Communication Networks, International Journal of Wireless
Communications and Mobile Computing and International Journal of Communication Systems. He had been an Associate
Editor for IEEE Communications Letters from 2003 to 2011. Dr. Ma is the Fellow of IET and a senior member of IEEE
Communication Society and IEEE Education Society. He is the Chair of the IEEE Education Society, Singapore Chapter. He
is serving as an IEEE Communication Society Distinguished Lecturer.
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Opportunities and Challenges with Mobile Technology in
Higher Education
Abstract:
Nowadays, the development of mobile technology has been rapidly expanded throughout every corner of the world. People
can communicate anywhere at any time with minimal boundary because of the high speed of cellular networks such as 3G
and LTE. With the fascinating opportunity of the intelligent information networks, the teaching and learning in higher
education should take the advantages of the mobility of devices to reach out to every user and learner. In this talk, I will
focus on the application oriented technology and share teaching practices, which can be applicable to computer science,
mathematics, and engineering education everywhere.
Biography:
Dr. Gary Ka-wai Wong is currently a Lecturer of the Department of Mathematics and Information Technology in the Hong
Kong Institute of Education (HKIEd). Dr. Wong received the B.S. degree in Computer Science and Mathematics (Double
Major),Magna Cum Laude, from Brigham Young University Hawaii (BYU-Hawaii) in 2006. He then earned the M.Phil.
degree in Electronic and Computer Engineering from The Hong Kong University of Science and Technology in 2009. He
received his Ph.D. in Computer Science from City University of Hong Kong in 2012. His research interests include wireless
communication and networks, mobile social networking, energy efficiency in wireless communications, mobile learning in
mathematics and ICT educations, optimization and mathematical programming, computer science and engineering education,
and higher education. Dr. Wong is currently a member of Phi Kappa Phi, ACM, IEEE, and HKCS.
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Applications of Robot Technology to Assistive Devices in
Aging Society
Prof. Chiharu Ishll
Abstract:
Japan is going towards an unprecedented ageing society, and facing a serious problem of population aging. The percentage of
elderly people of age 65 years or over (aging ratio) is 25.0% in 2013, and it is forecasted that the aging ratio becomes 33.4%
in 2035.In this way, Japan has reached a super-aged society which no country in the world has experienced. Becoming the
super-aged society, it is necessary to respond to the demand of medical care and nursing of elderly people. One of the
solutions is an application of the Robot Technology (RT).In this talk, medical and assistive devices with application of RT
which were developed in Japan for use in the aging society are introduced. Some of medical and assistive devices developed
in my laboratory are also mentioned.
Biography:
Prof. Chiharu Ishii received his Bachelor of Engineering degree in Mechanical Engineering from Sophia University in 1992,
Master of Engineering degree in Mechanical Engineering from Sophia University in 1994 and Doctor of Engineering degree
in Mechanical Engineering from Sophia University in 1997.
He worked at Ashikaga Institute of Technology between 1997 and 2002, at Kogakuin University between 2002 and 2009,
and at Shibaura Institute of Technology between 2009 and 2010. Since 2010, he has been working at Hosei University, and
currently he is a Professor with the Department of Mechanical Engineering, Faculty of Science and Engineering at Hosei
University.
Prof. Ishii has received several awards such as The Best Paper Award in the area of Tactile and Haptic Interfaces at the 4th
International Conference on Human System Interaction (HSI2011); Best Paper Award at the 1st International Conference on
Computer Science, Electronics and Instrumentation (ICCSE2012); Best Presentation Award at the International Conference
on Intelligent Mechatronics and Automation (ICIMA2013).
Prof. Ishii is currently a member of IEEE, SICE, JSME, RSJ, IEEJ and JSCAS. His research interests are in medical robotics,
assistive technology and robust control.
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Detailed Schedule
Monday, Feb. 2
Location
Lobby
Arrival and Registration
10：00– 12：00
13：00 — 17：00
Tips:
After sign, you will collect your conference package, including:
Original Receipt
Journal (Only for Author Attendee, some journals may be posted after the conference)
Representative / Pass Card with Tie
Printed Program
Lunch Coupon
Dinner Coupon
*Participation Certificate (Presentation Certificate will be collected from Session Chair after the
presentation)
Conference Souvenir
Computer Bag
Notice:

Please check on all these materials as soon as you get the package; if any of them is not included in the
package, please let us know at once; If any of them gets lost after the registration, no additional one
would be provided. Your understanding will be appreciated!

Each regular registration covers only one package. Additional package will be charged.

Some attendees may arrive on Feb. 3, kindly be noted that you can register at the registration desk from
9 am onwards.
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Tuesday Morning, Feb. 3
Opening Ceremony
Location
Quality Ballroom
Opening Ceremonies
8:45am to 9:00am
9:00am to 9:50am
Prof. Maode Ma
Plenary Speech 1:
Security Enhancements over the Communication Networks in Smart
Grid
Prof. Maode Ma
9:50am to 10:10am
Plenary Speech 2:
Opportunities and Challenges with Mobile Technology in Higher
Education
10:10am to 11:00am
Group Photo & Coffee Break
11:00am to 11:50pm
Plenary Speech 3:
Applications of Robot Technology to Assistive Devices in Aging
Society
Prof. Chiharu Ishll
12:00pm to 1:30pm Lunch Time
Location
Restaurant
Tips:
 Please be noted that lunch coupon is necessary for entering the restaurant.
 Please arrive at the conference room by 1:20 pm. Thank you!
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Tuesday Afternoon, Feb. 3
-PAPER SESSIONSSession 1: Robotics and Automation
Chair: TBA
9 presentations
Time: 1:30pm to 3:50pm
Venue: Quality Ballroom
The Self-Tuning PID Control in a Toggle Mechanism System by Knowledge-based Bounds
Ching-Sheng Chi and Chin-Wen Chuang
I-Shou University, Taiwan, R.O.C.
A005
Abstract—A self-tuning PID controller is proposed in this paper. The tuning rule is based on the expert’s experience. Due to the
proposed PID self-tuning method based on the engineer’s experience, the experienced engineers will easily accept it. The proposed
controller is applied to the toggle mechanism system. The experimental results are compared with the classical PID controller.
Finally, the experimental results show the robust character of the proposed controller.
The Motion Planning for Spherical Robot with Two Motors
Xin Wang
Tongji University, China
A006
Abstract—In this paper, we proposed a spherical robot with two motors in the horizontal and vertical directions which derive the
robot to do omni-directionally roll. Based on the structure of the robot, we derived the kinematic model using inertial and moving
coordinate system. In order to minimize the energy of the system, an optimization problem with two optimization variables which
are the parameters to control the angular velocity of the motors is given. After that, a particle swarm optimization (PSO) algorithm
is used to solve the optimization problem. The simulation shows that the motion planning with the algorithm has high precision.
Vibration Control of Strain Gradient Nonlinear Micro-Cantilevers Using Piezoelectric Actuators
R. Vatankhah, M.A. Nojoumian, H. Salarieh
Shiraz University, Shiraz, Iran
A014
Abstract—A closed-loop control algorithm is used for stabilization of a vibrating nonlinear strain gradient micro Euler-Bernoulli
cantilever beam using linear piezoelectric actuation. In this paper, the governing partial differential equation (PDE) of the nonlinear
strain gradient beam with piezoelectric actuator is obtained. Galerkin projection method is utilized to reduce the system’s PDE
equation of motion into a set of nonlinear ordinary differential equation (ODE) model. The nonlinear system is controlled by a
robust linear controller which ensures the stability of the nonlinear system. Numerical simulations are investigated to demonstrate
the effectiveness and performance of the designed control scheme.
A019
Intelligent Control System Design for a Teleoperated Endoscopic Surgical Robot
Alaa Khalifa and Ahmed Ramadan
Tanta University / EJUST, Egypt
11
Abstract—This paper concerns with the control system design for a teleoperated endoscopic surgical manipulator system that uses
PHANTOM Omni haptic device as the master and a 4-DOF parallel manipulator (2-PUU_2-PUS) as the slave.
PID control
algorithm was used to achieve the trajectory tracking, but the error in each actuated joint reached 0.6 mm which is not satisfactory
in surgical application. The design of a control algorithm for achieving high trajectory tracking is needed. Simulation on the virtual
prototype of the 4-DOF parallel manipulator has been achieved by combining MATLAB/Simulink with ADAMS. Fuzzy logic
controller is designed and tested using the interface between ADAMS and MATLAB/Simulink. Signal constraint block adjusted the
controller parameters for each actuated prismatic joint to eliminate the overshoot in most of position responses. The simulation
results illustrate that the fuzzy logic control algorithm can achieve high trajectory tracking. Also, they show that the fuzzy controller
has reduced the error by approximately 50 percent.
Static Analysis on Suitable Arrangement of Tubes of Low-cost Control Valve Using Buckled Tube
Abdul Nasir, Tetsuya Akagi, Shujiro Dohta, Ayumu Ono
Okayama University of Science, Japan
A023
Abstract—Due to its potential to improve human health care and various of the treatments equipments, power assisted nursing care
systems have received positive attentions from the global community and also gaining huge demands from the mainstream industry.
In such a control system, wearable actuators and control valves are required to be mounted on the human body. Generally, the
performance and cost of the pneumatic wearable rehabilitation device depends on the cost and performance of the valve. Therefore,
the optimal design of the valve for precise control is required. In this paper, the proposal of the static model and analysis of the
servo valve using buckle tubes developed before are described.
Application of Pressure Control Type Quasi-Servo Valve to Force Control System
Yoshinori Moriwake, Shujiro Dohta ,Tetsuya Akagi, So Shimooka
Okayama University of Science, Japan
Abstract—Today, the aged people are rapidly increasing and the number of children is decreasing in Japan. This social problem
A024
causes the demand of the care and welfare equipments to support a nursing and a self-reliance for the senior. For example, a power
assist device for reducing the burden of the user has been researched and developed. The purpose of this study is to develop a small
and light-weight pneumatic control valve and to apply it to the care and welfare equipments. In our previous study, the small-sized
quasi-servo valve using two inexpensive on/off valves was developed and tested. The pressure control type quasi-servo valve was
also proposed and tested by using the quasi-servo valve, a pressure sensor and an embedded controller. In this paper, the pressure
control type quasi-servo valve is applied to a force control of the pneumatic cylinder, and its control performance is investigated.
E003
Bioenergy Ontology for Automatic Pathway Generation
Krishna Sapkota, Pathmeswaran Raju, Craig Chapman, William Byrne, Lynsey Melville
Birmingham City University, United Kingdom
Abstract—Bioenergy is a renewable energy and is generated by treating biomass with various technologies. Depending upon the
nature of biomass, it is more suitable for one technology than others, and they can further be treated with other technologies. Hence,
the biomass follows a pathway of technologies, and the pathway is called bioenergy pathway. Currently, bioenergy pathways are
created manually: either by manually sketching or by creating the data manually and generating diagrams from the data. Manually
generated pathways are prone to human errors. A solution to this is creating semantic pathways automatically. In this paper, we
present the bioenergy ontology to generate semantic pathways automatically. In particular, we have leveraged the Semantic Web
technologies to represent the bioenergy knowledge and inferred the pathways. The case study has been carried out in one of the
INTERREG Project and found promising results.
E011
Assessing Mobile Learning Systems Success
12
Hsin-Hui Lin, Yi-Shun Wang, and Ci-Rong Li
National Changhua University of Education, Taiwan
Abstract—With the proliferation of mobile learning in educational context, measuring mobile learning system success has become
an important issue for academics and practitioners. Although mobile learning has received much attention among researchers, little
research has been conducted to assess the success and/or effectiveness of mobile learning systems. Thus, the main purpose of this
study is to develop and validate a multi-dimensional instrument for measuring mobile learning system success (MLSS) based on
previous research. This empirically validated instrument will be useful to researchers in developing and testing mobile learning
system success model, as well as to educators in understanding MLSS from student perspective and promoting the use of mobile
learning systems.
T016
Rotating Machinery Vibration Signal Processing And Fault Diagnosis Based on LMD
Ruirui Bo and Ze Zhang
Inner Mongolia University, China
Abstract—There are abundant of fault information in rotating machinery vibration signal. On account of the non-linearity and
non-stationarity, the paper first does pre-process to the vibration signal using wavelet threshold de-noising method and this method
can bring a smooth signal. Then it decomposes the vibration signal using local mean decomposition(LMD), which is effective to the
vibration signal. The LMD decomposes the signal into many PFs as the frequency from high to low. These PFs are composed of the
production of envelop signal and pure frequency modulated signal.
Finally, it takes most use of the kurtosis which is sensitive to
the fault impact. By calculating the kurtosis of PF, it can assess the distribution of fault impact signal in every frequency band,
consequently distinguishing the operating state of bearing and recognizing the fault mode according to the growth of turtosis. The
experiment of actual bearing vibration signal demonstrates that the methods this paper proposed can effectively diagnose the
vibration fault and has good performance.
Session 2: Network and Communication Engineering
Chair: TBA
10 presentations
Venue: Diamond Room
T021
Channel Estimation on the (EW)RLS Algorithm Model of MIMO OFDM in Wireless Communication
Suzi Seroja Sarnin, Habibah Hashim, Siti Maisurah Sulong
University Technology Mara (UITM), Maylaysia
Abstract—This paper study the channel estimation based on the exponentially weighted (EW) RLS algorithm. The advantages of
the proposed estimator arise from its implementation in the time-domain, whereas fewer channel parameters are required to be
estimated compared with the frequency-domain channel coefficients. In addition, the matrix inversion operation required in LS and
LMMSE estimators is avoided here by recursively updating the channel estimates. Therefore, the computational complexity is
highly reduced compared to frequency-domain based channel estimation. Furthermore, the proposed estimator has good tracking
capability due to exploiting the time correlation between the path gains. This paper provides analysis, evaluation and computer
simulations in MATLAB. The performance is evaluated in terms of the MSE of the channel estimate and BER for different Doppler
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frequencies (correspond to different mobility speeds) and Monte Carlo simulations are performed and the MSE and BER
performance versus SNR are obtained by averaging over 10000 channel realization. For comparisons, the BER performance is also
presented for perfectly known channel at the receiver. In all the simulations, perfect synchronization between the transmitter and the
receiver is assumed.
T027
Energy-Saving User Association for Uplink Heterogeneous Cellular Networks
Tianqing Zhou, Sifan WU, Yafang Wang, Luxi Yang
Southeast University, China
Abstract—In this paper, we present a scheme that jointly designs user association and power control in uplink heterogeneous
cellular networks. Specifically, we formulate a general problem which performs user association and meanwhile minimizes the
uplink sum-power under signal-to-interference-plus-noise ratio (SINR) constraints. This is a nonlinear mixed-integer optimization
problem, and its optimum solutions are very difficult to be obtained when the problem is large-scale. To solve this problem, we
decompose it into a user association problem and a power control problem, and then iteratively solve these two subproblems by
designing a two-sided scalable (2.s.s.) algorithm. The proposed algorithm can be well implied in a distributed manner due to its
simplification and efficiency. Numerical results show that, compared with the scheme proposed by Roy, the proposed scheme can
significantly reduce energy consumption and increase the system throughput.
T052
Wireless Sensor Network Based Mobile Tracking System
Nyein Aye Maung Maung, Makoto Kawai
Ritsumeikan University, Japan
Abstract—Mobile target tracking through large-scale wireless sensor networks (WSN) demands a large number of reference nodes,
which is not feasible for resource-constrained WSNs. This paper proposes a resource-efficient mobile tracking system which
integrates connectivity-based range-free approach and Received Signal Strength (RSS) based ranging approach to improve the
tracking performance while reducing the specialized hardware requirement. In our proposed system, regulated hop-count values
between static unknown nodes and reference nodes in the targeted area of interest for mobile tracking are first estimated in the
network configuration phase. Then, location of the mobile target is tracked based on the regulated hop-count values and the
available RSS measurements from its surrounding nodes at each tracking point without any extra hardware. Additionally, estimated
location is enhanced by correcting with the known information of maximum velocity of the mobile target. Simulation and
experimental results show that the proposed system offers preferable mobile tracking performance with minimum reference node
utilization in both small-scale and large-scale networks.
T054
Detection of R-peaks in ECG Signal by Adaptive Linear Neuron (ADALINE) Artificial Neural Network
Jeong-Hwan Kim, San-Eun Park, Gyeo-Wun Jeung, Kyeong-Seop Kim
Konkuk University, Korea
Abstract—This research proposes a new method to detect R-peaks in electrocardiogram by using the prediction value from adaptive
linear neuron (ADALINE) artificial neural network. With this aim, the weights of four input neurons in ADALINE are updated for
each encoded ECG vector-segment and the value of an output neuron is compared with the actual ECG followed by applying finite
impulse response filter. Our simulated experiments with the MIT-BIH ECG database that represents the long-term recordings from
the heart disease patients show that our proposed algorithm can detect R-peaks in ECG data with the accuracy of more than 99%.
T056
RFID Data Processing in Real-Time Monitoring System
Kanda Runapongsa Saikaew, Suchart Joolrat, Mongkon Tengrungroj, Patcharaporn Jiranuwattanawong,
Channarong Janpanich, Kittiphan Sornsakda
Khon Kaen University, Thailand
14
Abstract—In every marathon events, runners always prefer the result running time to be confirmed and announced as soon as
possible. This paper proposes a real-time monitoring system with RFID data processing that can compute both the finish time and
the net time. The net time is used to determine the top runners to receive awards. The running result is determined and declared by
the audit committee. Most of the software solutions available on the market are desktop applications. These applications are usually
dependent on specific operating systems and have different system requirements for installation. Furthermore, they are generally
rigid in terms of structure and functionality. On the other hand, we have developed the system that can read a live running time at
the RFID reader points. Then the system shows the live time on the board that can be immediately perceived by runners.
We have
th
evaluated the proposed system in the 11 Khon Kaen International marathon, which is one of the largest marathons in Thailand. The
organizers and the runners were pleased with the real time live running time reports as well as the precise net time used to determine
the winning runners.
T059
Using TOPSIS to Predict Route Safety in Ubiquitous Network
Chiung-Ying Wang, Bo-Liang Wu
TransWorld University, Taiwan (R.O.C)
Abstract—The demand for car navigation applications in route finding has grown tremendously. However, the driver use of GPS
navigation to guide the car to unsafe route often happens. In this paper, the goal of the proposed mechanism is able to select the
route which satisfies multiple requirements of individual user and improve route safety. In this paper, the proposed mechanism
considers various contexts and utilizes Technique for Order Preference by Similarity to Ideal Solution, TOPSIS to predict route
safety. The contexts of the proposed mechanism are including route information: road distance, road maintenance information,
traffic information, mudslide avalanche information; weather information: heavy rain information. The TOPSIS is a multi-criteria
decision analysis method and adopted to select route with higher safety for drivers. Finally, our computational results also indicate
that the proposed mechanism provides shorter road maintenance distance, less traffic jam, fewer rainfalls and less mudslide
avalanche degree than shortest route. Therefore, the proposed mechanism efficiency improves route safety for drivers. This paper
for applications in the automotive navigation devices, and it has benefits to enhance route safety.
T064
Transitive trust methods for routing in WSNs
Wang Na, Wang Tianhua
Shanghai Second Polytechnic University, China
Abstract—The goal of this paper is to introduce two trust methods for routing in wireless sensor networks. The two methods
consider transitivity of trust. When computing routing trust value, they use optimistic and pessimistic ways respectively. These trust
methods can select a trust routing for precise data transmission. A simulation is given and shows that this trust model has a higher
performance than ECCR in reliability.
T3007
Analysis and Optimization of Distributed Antenna-Aided Heterogeneous Networks Relying on Fractional
Frequency Reuse
Lang Zhong, Guangjun Li, Xuemin Yang,Shuisheng Lin
University of Electronic Science & Technology of China
Abstract—In distributed antenna-aided Heterogeneous Networks, macro cells (MCs) always suffer co-channel interference (CCI)
from femtocells (FCs). Hence, in this paper, the downlink (DL) signal to interference ratio (SIR) of MCs and the interferential
constituents are investigated. To decrease this adverse impact of FCs and achieve high spectral efficiency, a joint optimization of
Particle Swarm Optimization (PSO) and optimal frequency allocation (OFA)among mobile stations (MSs) is proposed to improve
both the cell planning and the frequency allocation. Simulation results show high feasibility of PSO algorithm and prove that
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compared with conventional static system and PSO scheme, the proposed PSO-OFA joint optimizing scheme has significant
performance improvement and also achieve some degree of controllability.
A3003
Solar Powered Gravity-Feed Drip Irrigation System Using Wireless Sensor Network
Angelina Ho Mei Yi, Muhammad Zaharul Asyraf Bin Zaharin, Ionel Valeriu Grozescu, and Hawa ZE Jaafar
Universiti Putra Malaysia (UPM), Malaysia
Abstract— A Wireless Sensor Network (WSN) to automatically irrigate the crops using soil moisture content values
obtained from the soil moisture sensor is designed. Gravity-feed drip irrigation is actuated according to the needs of
the crop by using a relay to on a solenoid valve when the soil is dry, which is determined by soil moisture content
below 60%. End devices communicate with the Coordinator via Xbee communication links.
CN0008
A Review of Mobility Management in Integrated UMTS and WLAN Networks
Maushumi Barooah, Diganta Kumar Pathak, and Ishita Roy Karmakar
Assam Engineering College, India
Abstract—In today’s age of Next Generation Internet there have been a plethora of diversified overlapping networks where each of
these communication technologies are optimized to provide user specific services and Quality of Service(QoS) parameters. The
main objective of next generation networks focus at high bandwidth and high mobility. There are WiFi hotspots (WLAN) providing
high data rates within smaller areas and UMTS networks providing larger coverage areas with low data rates. These two
complementary networks can be combined to quench the thirst for ubiquitous communication enabling the smart mobile user to
roam seamlessly between these technologies for best possible services. To ensure Always Best Connectivity, one of the main short
comings to be addressed is efficient handoff management and there are a lot of works already published addressing various issues of
efficient handoff management till date. This paper provides a comprehensive detail of different handoff management strategies
reported so far in a systematic manner and also throws light on a particular scheme of handoff management between UMTS and
WLAN providing QoS to the mobile users.
Session 3: Data Mining
Chair: TBA
10 presentations
Venue: Emerald Room
T010
Application of Clustering for Customer Segmentation in Private Banking
Xuan Yang, Jin Chen, Pengpeng Hao, Yanbo J. Wang
China Minsheng Bank, China
Abstract—With fierce competition in banking industry, more and more banks have realised that accurate customer segmentation is
of fundamental importance, especially for the identification of those high-value customers. In order to solve this problem, we
collected real data about private banking customers of a commercial bank in China, conducted empirical analysis by applying
K-means clustering technique. When determine the K value, we propose a mechanism that meet both academic requirements and
practical needs. Through K-means clustering, we successfully segmented the customers into three categories, and features of each
group have been illustrated in details.
T017
An improved clustering algorithm for big data based on K-means with optimized clusters’ number
16
Lianjiang Zhu, Tao Du, Shouning Qu, Kai Wang, Yong Zhang
University of Jinan, China
Abstract—To improve the processing ability of big data, a new clustering algorithm is proposed which is designed based on
K-means. In this algorithm, a concept of ―Silhouette Coefficient‖ is defined to estimate the result of clustering. Based on silhouette
coefficient, the optimized clusters’ number would be chosen, and then K-means algorithm would be operated with this clusters’
number. The algorithm is tested by a real production big data set and compared with classical K-means. The result of experiment
proves that the improved algorithm has more reasonable result of clustering with little extra calculation.
T025
Research On Non Rigid Registration Algorithm of DCE-MRI Based On Mutual Information and Optical Flow
Shihua Yu, Rui Wang, Kaiyu Wang, Mengmeng Xi and Hui Liu
Dalian University of Technology, China
Abstract—Image matching plays a very important role in the field of medical image, while the two image registration methods
based on the mutual information and the optical flow are very effective. The experimental results show that the two methods have
their prominent advantages. The method based on mutual information is good for the overall displacement, while the method based
on optical flow is very sensitive to small deformation. In the breast DCE-MRI images studied in this paper, there is not only overall
deformation caused by the patient, but also non rigid small deformation caused by respiratory deformation. In view of the above
situation, the single-image registration algorithms cannot meet the actual needs of complex situations. After a comprehensive
analysis to the advantages and disadvantages of these two methods, this paper proposes a registration algorithm of combining
mutual information with optical flow field, and applies subtraction images of the reference image and the floating image as the main
criterion to evaluate the registration effect, at the same time, applies the mutual information between image sequence values as
auxiliary criterion. With the test of the example, this algorithm has obtained a better accuracy and reliability in breast DCE-MRI
image sequences.
T026
Polygon Intersection Based Algorithm for Fuzzy Set Compatibility Calculations
Sukgamon Sukpisit, Supaporn Karnsomkeat, Pannipa Sae Ueng, Apirada Thadadech, Srdjan Skrbic
Prince of Songkla University, Thailand
Abstract—PFSQL is an extension of the SQL language that allows usage of fuzzy logic in SQL queries. In query statements,
variables can take both fuzzy and non-fuzzy values. Normally, different types of values cannot be compared directly. Therefore, it is
necessary to implement fuzzy compatibility calculation to solve this problem. This paper proposes a method of fuzzy compatibility
calculation implementation that determines compatibility degree of two fuzzy sets. The compatibility value is calculated using
polygon intersection algorithm. To prove the correctness of the proposed method, the application has been developed and tested
with 360compatibility cases of different randomly generated fuzzy values. The experimental results show that our algorithms can
handle various types of intersections between any two fuzzy sets.
T031
An Intelligence Based Clustering Approach For Optimization of Web Elements
Shashi Mehrotra, Shruti Kohli
Birla Institute of Technology Ex Noida, India
Abstract—With the massive increase in the use of internet and web data, retrieval of relevant information quickly is very important.
Due to massive increase in the web usage, some efficient technique is required for data analysis. Grouping of object is required for
efficient data analysis. Clustering on-line result is a challenging technique. Search option is excessively used in almost every
website. The study proposes a hybrid clustering algorithm to optimize search result of the website. The domain of the website is
medical. Matrices will be used to analyze user behaviour. User trust will be measured. Clustering of search result will facilitate
users to get the relevant information in a quick manner.
T034
Applying Data Mining Techniques and extended RFM Model in Customer Loyalty Measurement
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Panwad Bunnak, Sotarat Thammaboosadee and Supaporn Kiattisin
Mahidol University, Thailand
Abstract—This paper proposes a loyalty measurement model of individual customer for the benefit in creating of marketing
campaign and activities as well as the suitable products and services for customers and establishment of good customer relationship.
This study adapts the concept of RFM (Recency- Frequency-Monetary) model and applies to database of customer purchases and
the customer type. The business type of selected organization is commercial business. To apply the RFM concept to find customer
loyalty according to type of customer, the customer loyalty is partitioned into 5 classes using k-means clustering algorithm and is
heuristically assigned customer types: Platinum, Gold, and Silver. Type of customers is then brought into consideration the
extending of the RFM Model with customer analytics to make it even better customer classification performance. Finally, the
classification system generates decision rules to find out the loyalty of new future customers using C4.5 decision tree algorithm.
T036
Gold Price Volatility Prediction by Text Mining in Economic Indicators News
Chanwit Onsumran, Sotarat Thammaboosadee and Supaporn Kiattisin
Abstract—This paper focuses on the text mining approach of the gold prices volatility prediction model from the textual of
economic indicators news articles. The model is designed and developed to analyze how the news articles influence gold price
volatility. The selected reliable source of news articles is provided by FXStreet which offers several economic indicators such as
Economic Activity, Markit Manufacturing PMI, Bill Auction, Building Permits, ISM Manufacturing Index, Redbook index, Retail
Sales, Durable Goods Orders, etc. The data will be used to build text classifiers and news group affecting volatility price of gold.
According to the fundamental of data mining process, each news article is firstly transformed in to feature by TF-IDF method.
Then, the comparative experiment is set up to measure the accuracy of combination of two attributes weighting approaches, which
are Support Vector Machine (SVM) and Chi-Squared Statistic, and three classification algorithms, which are the k-Nearest
Neighbour, SVM and Naive Bayes. The results show that the SVM method is the most superior to other methods in both attributes
weighting and classifier viewpoint.
T058
Expert System for diagnosis of discus fish disease using fuzzy logic approach
Novita Hanafiah, Kelvin Sugiarto, Yulius Ardy, Ruben Prathama, Derwin Suhartono
Bina Nusantara University, Indonesia
Abstract—Discus fish is a favourite fish because of its beauty and unique characteristic, ranging from a variety of style, colour and
shape. This fish has become one of the profitable business opportunities for fish farmers, mainly for export to overseas because the
price is quite expensive. However, Discus fish is difficult to maintain since it is susceptible to various diseases. An expert system
application utilizing fuzzy logic is presented to resolve this problem by diagnosing diseases of the discus fish. It is expected to help
beginner fish farmers to detect the disease in the earliest time. Besides diagnosing, this desktop-based application can be exploited
to get more information about the diseases in order to prevent and treat the Discus fish. The algorithm shows a good result which
achieves 90.32% of accuracy.
A020
Segmentation of Breast Thermogram Images for the Detection of Breast Cancer – A Projection Profile Approach
Dayakshini, Surekha Kamath, Keerthana Prasad and Rajagopal K.V
Manipal Institute of Technology, Manipal University, India
Abstract—This paper presents a method for segmenting the left and right breast from breast thermogram images using projection
profile approach. Horizontal Projection Profile (HPP) method is used for detecting the upper and lower borders of the breast and
Vertical Projection Profile (VPP) method is used for detecting left and right borders of the breast thermogram image. The results of
segmentation are satisfactory. Generalization of this method can be done for various types of breast thermogram images by
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standardizing the height, background and removal of the noise present in the image.
E008
Generating the Movie Domain Specific Sentiment Lexicon Using NLP and SVM Method
Yoosin Kim, Do Young Kwon, Seung Ryul Jeong
Kookmin University, Republic of Korea
Abstract—Nowadays, online user-generated contents, or called consumer word-of-mouth, directly influence to real world, and there
are many attempts to analyze them using opinion mining. For sentiment analysis, general dictionaries have been used frequently, but
much research mentioned domain specific sentiment dictionary should ensure higher performance than general sentiment dictionary.
And also use of Korean sentiment lexicons is still rare because of the complexity of Korean as an agglutinative language. In order to
recover these challenges, this study attempted to develop a movie domain specific sentiment dictionary. We collected movie reviews
and applied natural language processing, support vector machines method, and validate it though sentiment lexicon based analysis.
As a result, the linguistic feature for the dictionary was consisted with 668 terms on classification accuracy reached 76.69 % in
training data and 73.38% in test data. In addition, this domain specific dictionary classified 66.12% of whole review data and
achieved 78.68 % of accuracy and 89.64 % of F1 score. It shows that a domain specific dictionary can be generated without manual
works; can achieve relatively higher performance; a small scale dictionary can become efficient way for big data analysis.
3:50pm to 4:10pm
-PAPER SESSIONSSession 4: Cloud Computing and Algorithms
Chair: TBA
11 presentations
Venue: Quality Ballroom
T002
Local Search-based Enhanced Multi-objective Genetic Algorithm and its Application to the Gestational Diabetes
Diagnosis
Jenn-Long Liu, Chung-Chih Li, and Chien-Liang Chen
I-Shou University, Taiwan
Abstract—In evolutionary computation, several multi-objective genetic algorithms (MOGAs) have been widely used to solve
multi-objective optimization problems (MOOPs).The version NSGA-II, developed by Deb et al., is a useful package usinga
population-based genetic algorithm to solve optimization problems with multiple objectives subject to constraints. This study
proposes an enhanced version of NSGA-II, termed LS-EMOGA herein, which modifies the crossover and mutation operators of
original NSGA-II by an extended intermediate crossover and a non-uniform mutation and also incorporates a local search (LS)
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procedure to improve the fine-turning ability of the solution searching. The performance of the proposed LS-EMOGA is assessed
by evaluating five benchmark cases of MOOPs. The computed solutions are compared with those of obtained using NSGA-II and
proposed MOGA without local search procedure (EMOGA version). Moreover, the proposed LS-EMOGA combines a k-means
clustering algorithm to apply to the case diagnosis of gestational diabetic disease.
T007
University Research Keywords Analysis Using Proximity Analysis
Krittawaya Thongkoo
Chiang Mai University, Thailand
Abstract—Research management is a process that allows research administration to storing, searching the researchers' information
more effectively. And also researchers can search the related research precision. So if the organization has automatic system for
storing and searching, the research management will work more effectively. The important technique for making the automatic
research management system is Text Mining. Next process is keywords analysis to select keywords. The result from keywords
analysis process can be analyzed to know the real research focuses and directions of the university. In this study, a Proximity
Analysis method which uses mathematical principles was selected to analyze the keywords. Additionally, CommonKADs
methodology is used as an extensive framework for describing knowledge intensive business processes. Subsequently, the
researcher policy management can be guided by this research ontology. After that, this information can be combined to decision
support system for the university president. The experimental results show that using the proposed framework could reduce the time
work of the research management process in Chiang Mai University.
T032
TOAST: A Tool for Agile Software Project Management in Cloud Computing Environments
Chung Yung, Ming-Cheng Li, and Yu-Tang Lin
National Dong Hwa University, Taiwan
Abstract—In this paper, we present a software project management of agile development in cloud computing environment, called as
TOAST, which is constructed based on the MOAT model.
MOAT is a two-layer model of software project management using
agile methodology, which is especially designed for managing software projects in cloud computing environments.
In MOAT, the
primary operations of agile software development are categorized into two layers; namely, the project layer and the task layer. With
MOAT, the progress status of an agile software development project is represented easily and clearly. TOAST implements all the
MOAT operations using a client/server architecture, of which the TOAST client is deployed as an Android app and the TOAST
server is designed to work in the cloud computing environments. Since there is not many, if any, software management tools of
agile development available, TOAST is considered as an explorative tool especially for the software industry that aims at the cloud
computing environments as the primary computing platform.
T044
Generating Affixed Words from a Root Word and Getting Lemma from Affixed Word in Bahasa: Indonesian
Language
Andri Budiman Oktarino, Dwi Taruna Winahyu, Andrew Halim, Derwin Suhartono
Bina Nusantara University, Jakarta, Indonesia
Abstract—Previously, there were morphological analyzer and lemmatization method for Bahasa: Indonesian language, yet they have
not handled all occurred cases. Therefore, we develop an algorithm which combines two tasks; they are to generate affixed words
from a root word and vice versa. The current morphological analyzer to generate affixed words has not covered in analyzing two
words, whilst the current lemmatization method cannot find out the lemma from an affixed word which has confix and
reduplication. Hence, we will cover these issues in order to enhance the current methods. The algorithm concerns only in Bahasa.
The algorithm to generate affixed word is based on the two-level morphological analyzer, while refinement of lemmatization
method is based on rule precedence and token checking. After implementing the algorithms, we find out that affixed word produced
is 12.63% productive words, 86.98% non-productive words, and 0.39% incorrect words for the affixed word, whilst lemmatization
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can achieve 96.11% accuracy.
T050
Chaotic Crossover Operator on Genetic Algorithm
Huseyin DEMIRCI, Ahmet Turan OZCERIT, Huseyin EKIZ and Akif KUTLU
Sakarya University, Turkey
Abstract—In this paper, chaos based a new arithmetic crossover operator on the genetic algorithm has been proposed. The most
frequent issue for the optimization algorithms is stuck on problem's defined local minimum points and it needs excessive amount of
time to escape from them; therefore, these algorithms may never find global minimum points. To avoid and escape from local
minimums, a chaotic arithmetic crossover operator has been employed on a genetic algorithm. Unimodal and multi modal
benchmark functions have been used for comparing and test procedures. The genetic algorithm with this new arithmetic crossover
operator has yielded better results than original arithmetic crossover operator does. With this new chaos based arithmetic crossover
operator diversity and uniqueness of the genetic algorithm’s late population are increased. Therefore, even in the late stages of the
optimization process, the genetic algorithm tried to search the entire search space and improved the best solution.
T051
Libra: An Adaptive Method for Protecting Memory from Arbitrary Overwrite
Chun-Yi Wang, Chieh-Wei Huang, Fu-Hau Hsu and Shih-Jen Chen
National Central University, Taiwan
Abstract—There have been more vulnerabilities in the Linux kernel in 2013 than there had been in the previous decade. In this
paper, the research was focused on defending against arbitrary memory overwrite in privilege escalation. To avoid malicious users
getting root authority, the easiest way is to set the sensitive data structure to read-only. But we are not sure the sensitive data
structure will never be modified by legal behavior from a normal device driver; thus, we posed a compatible solution between
read-only solutions and writable solutions which is based on the mechanism of read-only IDT table to enhance compatibility. The
main idea that we posed not only solves the above problem, but also the general problem which is ensuring that important memory
values can only be changed within a safe range. It is not just set to read-only. In addition, we do not need to care about if the Linux
kernel exists any the vulnerabilities of arbitrary memory overwrite.
T1001
Variable Selection Method Based on the Combination of Stability Competitive Adaptive Reweighted Sampling
(SCARS) and Genetic Algorithm (GA)
Kaiyi Zheng, Yuan Yao
National Tsinghua University, Taiwan
Abstract—Stability competitive adaptive reweighted sampling (SCARS) is successfully used in variable selection. In order to
further refine the results of SCARS, genetic algorithm (GA) is adopted due to its strong ability of dealing with binary problems.
SCARS repeatedly run 50 times to obtain 50 variable subsets. Then 50 variable subsets combined with 50 randomly generated
chromosomes are set as input of GA.The results showed that in contrast with artificial bee colony (ABC) and particle swarm
algorithm (PSO), GA can select variables with smaller prediction errors.
T2001
Scheduling optimization algorithm based on Hadoop
Zhang Qingnian, Gao Yin, Hu Wenjing and Yang Jie
Wuhan University of Technology, China
Abstract—With the increasingly sophisticated and popularity of the third-generation communication networks, the size of the
network is drastically becomes larger and the equipment complexity is also greatly improved. So how to quickly resolve the call
failure and how to ensure the quality of network operation becomes the most urgent task for network maintenance personnel. Call
trace system, a new feature derived from signaling trace , as an important subsystem of the network management system is a
powerful means to solve call failure problem and guarantee the quality of the network operation. Scheduling in call tracking system
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used in communication is fifo scheduling algorithm of Hadoop. In practical applications, in order to make full use of the resources,
different levels of users sharing a cluster, the different types of call tracking data processing will be done in the same cluster.
Therefore, on the basis of the fair scheduling, this paper put forward based on the improved algorithm of call tracking system, to
improve the system of the department can, better meet the actual demand of the system.
T3001
Channel Estimation of MC-CDMA system based on SCBC for high data rate communications
Mbembo Loundou Varus , Jie Yang
Wuhan University of Technology, China
Abstract—The increasing demand for High Data rates in mobile deployment constitutes one of the main research area in this few
years. Mobile communication structures must be capable to support and provide high variety of service. Further, many users with
different application-and-location-specific, time-varying rate and quality of service (QoS) requirement should be accommodated. In
this appreciation, mobile and LTE (Long Term Evolution) are both considered as the main technologies that can be hosted, deployed
and capable to offer strong coverage. Among the current techniques, MC-CDMA can provide better performances for high mobility
effect with the resistant to various impairments. In this paper we propose a MC-CDMA transmission system for high data rate
communications on mobile environments. The results presented are based on mobility context.
T3003
Construction of Laboratory Platform based on Cloud Computing
Yueping Wu, Yinchun Yang
Shanghai Second Polytechnic University, China
Abstract—In view of the problem which the present laboratory management cost is too high, resource waste severely, data is not
unified, it was proposed that construction of laboratory platform based on cloud computing, the plan aims to construct the virtual
pool of resources, and ultimately achieve a unified cloud platform, which build a sharing, dynamic, autonomous service, data center
extended with the need, to provide a new IT resource supply mode for the teaching and scientific research. In this mode, teachers
and students can get their desktop computing resources in any place at any time, Another important application about cloud
computing in the laboratory is the construction of the virtual service, can deploy a server for storage, examination and race in the
room in a few minutes by VSphere. Specific benefits are shown in table after the implementation of server virtualization.
T3006
A Multitaper Spectral Estimator Based on a Cost Minimization Approach
Bo Yan, Haifen Yang, Liang Zhou
University of Electronic Science and Technology of China
Abstract—A multitaper spectral analysis approach is built based on the minimization of cost function. The performance analysis
indicates that this approach has comparative bias and variance as the approach of discrete prolate spheroidal sequence estimator.
Compared with the DPSS, instead of solving the problem of matrix eigenvalues, the multitaper here needs less calculation with
analytical expression of tapers. The validity of the estimator is verified by the computer simulation of an AR progress discrete as
well as a white noise sequence.
Session 5: Software Engineering and E-learning
Chair: TBA
12 presentations
Venue: Diamond Room
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T012
The Incompatibility of End-User Learning Styles and the Current ERP Training Approach
Monta Chayakonvikom, Parin Fuangvut and Nantika Prinyapol
Dhurakij Pundit University, Thailand
Abstract—ERP education and training is the critical success factor in an ERP implementation project but the ineffectiveness of
current ERP training is still reported. Ineffective ERP education and training lead to user resistance towards an ERP system which
makes the organization unable to achieve the long term benefits of ERP implementation. The ERP system was developed based on a
universal culture and applied equally to all situations without consideration of the differences between ERP design and the
organization in reality, which may be problematic. Thereby, the aim of this article is to investigate whether the current ERP training
approach accommodates the variety of end-user learning styles. To achieve this objective, a pilot study was conducted to measure
the training outcomes of the current ERP training delivered to various groups with different end-user learning styles. In-depth
interviews were conducted with 30 end-users who have experience in ERP training during the period of implementation phase in a
Thai context. The pilot study result supported the assumption by showing the incompatibility of end-user learning styles and the
current ERP training approach, which affects the ERP training outcome.
T015
Curriculum Architecture Based on Generalized Multimodal Information Fusion for ITO Training
Nan Ma, Hong Bao ,Yun Zhai, Liyi Ma,Wenfa Li
Beijing Union University, China
Abstract—The "one body two wings" for ITO talents training mechanism proposed by us has been proved its validity in teaching
within Beijing Union University. To better support
this mechanism, a generalized multimodal information fusion mechanism and
the law of multi-measure training need demands were constructed, furthermore, a new curriculum system framework called the
general multi-model information fusion system based training course system for ITO talents training, GMSIF, was established in
this paper. The GMSIF consists of such three layer architecture as the theory layer, information fusion layer and curriculum
presentation layer as well as curriculum evaluation model to realize its reconstruction and optimization. The GMSIF has been
employed in the practice in teaching practice recently in Beijing Union University. Curriculum practice indicates that the new
curriculum architecture has been powerfully supported the goal of "one body two wings" ITO talents training.
T040
FreGsd: A Framework for Global Software Requirement Engineering
Abdulaziz Alsahli, Hameed Khan
King Saud University, Saudi Arabia
Abstract—Software development nowadays is more and more using global ways of development instead of normal development
environment where development occurs in one location. This paper is aimed to propose a requirement engineering framework to
support Global Software Development environment with regards to all requirement engineering activities from elicitation to finally
managing requirement change. Global software environment is more and more gaining better reputation in software development
with better quality is resulting from developing in this environment yet with lower cost. However, failure rate developing in this
environment is high due to inappropriate requirement development and management. This paper will add to the software
engineering development environments discipline and many developers in GSD will benefit from it.
T041
Analysis of security vulnerabilities using misuse pattern testing approach
Yifan Yuan, Somjai Boonsiri
Chulalongkorn University, Thailand
Abstract—Vulnerability detection is commonly been executed during the testing phase of software development. Current methods
are not able to detect system or software security vulnerabilities of certain types of attacks during the early stages of software
development. These attacks include both the ones we did not anticipate as well as the ones unknown during the design phase. In this
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paper we propose a method to detect the security vulnerabilities during the design phase of software development. This approach
simulates attacks according to the misuse patterns using model testing method. With this approach, we are able to analyse system
security vulnerabilities during the design stage of the system development. The practical example provides evidences the feasibility
of our method.
T046
Function-oriented Business Process Improvement Framework for Customer Relationship Management Section in
Large Scale Organization
Suprangtip Poonun, Sotarat Thammaboosadee and Supaporn Kiattisin
Abstract—Customer Relationship Management (CRM) is critical and essential to such organization, especially to the large scale
organization since its involved customers may be covered to the people, citizen, organization or government sections. Anyway,
according to the nature and culture of the traditional job design, their business processes are costly and inconsistent because of their
actor (or department) oriented design which leads to the difficulties in improvements. This paper proposes an idea of improving the
business processes, based on Business Process Improvement (BPI) concept in function-oriented, to solve the existing work
problems and suggest the possible solution for the future to achieve the organization goal. The evaluation was done by both the
officer and the executive.
T047
NYSOL: A User-Centric Framework for Knowledge Discovery in Big Data
Stephane Cheung, Masakazu Nakamoto, Yukinobu Hamuro
Hokkaido University, Japan
Abstract—NYSOL is an integrated framework of knowledge discovery leveraged by a host of data processing and data mining
tools, which is underpinned by innovative research activities. Our framework is designed to integrate the process of managing
large-scale information assets and knowledge discovery on one platform to improve interoperability between processes. The
NYSOL framework simplifies the knowledge discovery process in an efficient manner for novice and expert users. This paper
discusses the historical development of NYSOL rooting from basic data processing commands, to the recent growth of the NYSOL
software ecosystem to extend support for data mining based on efficient machine learning algorithms. Initial experiments on
NYSOL's GGP large-scale information processing architecture with NYSOL distributed file system (NDFS) are also presented.
Observed performance of GGP demonstrates reduced overhead for inter-processing time and improvements in overall processing
time.
T049
3D Catalogue Based on Augmented Reality in Android Operating System
Natalia Chandra, Fredy Purnomo, Michael Yoseph Ricky, Christianto Leonard, Arvian Verdian, Hendrick
Abstract—Along with the continued development of Smartphone and the era of globalization, human needs are increasing for
technology. They continue to look for ways that can ease their lives and it is up to the explanation of the visualization that closer to
the actual visualization and support fast, precise and clear retrieval of interactive information. In order to realize the visualization,
augmented reality technology is being used. Augmented reality is a technology that uses camera technology to recognize real world,
images, objects, and environments and superimposes virtual information and data onto reality in real time. It combines a virtual
object into two or three dimensions in a real three-dimensional environment. By developing an application with augmented reality,
it can help user to look more detail into a product and give advantages to company to save the brochure production cost. The
development of this application is using client-side and server-side, where the client-side will be run on android smartphone and
server-side using a php based web service. The goal of this paper is to develop a 3D catalogue that helps to depict a product in
interactive ways with zoom, rotate, choose color, and animation features.
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T053
The Evaluation of Study Success between Online Study and Classroom Study Environment
Phudinan Singkhamfu
Abstract—Online study has increasingly become more attractive to students at university level due to convenience access to their
instructors and to study resources. This study has developed online social network for study. It proposes to provide lesson content
availability, past lecture, by sending online study lesson media to students’ mobile phone or tablet. Approximately 85 undergraduate
software engineering students participated for 1.5 semesters. In comparing the use of the study toll, and without the tool, the
alterations were found between traditional classroom learning style and online study. Also, the study’s aim was to attest the online
study tool’s efficiency. However, these results were not obvious when the achievement factor was controlled by the limitation of
time. The primary purpose of this study is to evaluate these two groups of students with extended experiment time for a noticeable
result by used questionnaires course examination, and inventory of ILP[1] learning process. The observed, shows that students with
online study tools scored higher on course examinations after measures by the mentioned methodology.
T055
Unlock Screen Application Design Using Face Expression on Android Smartphone
Rhio Sutoyo, Jeklin Harefa, Alexander and Andry Chowanda
Abstract—Nowadays, smartphone has been shifted as a primary needs for majority of people. This trend is making people do
activities on their smartphone such as exchange information, playing games, paying bills, discussing ideas, etc. In almost every
smartphone, security features (i.e. password, pin, face unlock) are already built in which are intended to protect the data inside the
smartphone. Nevertheless, those security features are not perfect and have flaws either technically or by human errors. This research
aim to provide an application that uses people’ facial expressions to improve the security of smartphone, namely Android. We
implement face detection and expression recognition in this application as an improvement from the existing unlock screen, which
is face unlock. The results that are achieved from this research is an unlock screen application on Android devices that utilizes
people’ facial expression changes to open their smartphone. This application can eliminates the technical errors from existing face
unlock screen application which can be deceived by photos.
T060
Enhancing Server Serviceability for Mobile Applications
Seon Hong Park, Jin Su Jeong and Dong Kwan Kim
Mokpo National Maritime University, Korea
Abstract—In mobile clouding environment, seamless service in cloud servers is one of the essential features to meet the needs of
mobile users around the world. However, in some cases, such a server service may be interrupted due to upgrade issues. The
changes of the server service often cause the corresponding client program to be upgraded. Depending on the circumstances, the
change of the client program may be delayed. Unfortunately, the inconsistency of the program version may result in system crash
since the cloud server cannot handle the client request. In this paper, we present a new approach to address the version mismatch by
proxy servers based on the adapter design pattern. The primary results show that the proposed approach can enhance the reliability
and availability of the cloud server.
T3002
Underlying Structure of E_Learning Readiness among Palestinian Secondary School Teachers in Nablus
Fuad A.A.Trayek, Mohamad Sahari Nordi, Tunku Badariah Tunku Ahmad, Mohammed AM Dwikat
International Islamic University Malaysia, Malaysia
Abstract—This paper reports on the results of an exploratory factor analysis procedure applied on the e-learning readiness data
obtained from a survey of four hundred and seventy-nine (N = 479) teachers from secondary schools in the city of Nablus,
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Palestine. The data were drawn using a 23-item Likert questionnaire measuring e-learning readiness based on Chapnick's readiness
dimensions. Principal axis factoring (PAF) with Promax rotation applied on the data extracted four distinct factors supporting four
of Chapnick's e-learning readiness dimensions, namely technological readiness, psychological readiness, technical-support
readiness, and equipment readiness. Together these four dimensions accounted for 56% of the variance in Palestinian secondary
school teachers' e-learning readiness, with technological readiness explaining 30.2% of the variance. These findings provide
empirical support for the construct validity of the items and for the existence of these four factors that underlie e-learning readiness.
T3004
Component-based Verification Model of Sequential Programs
Pei He, Achun Hu, Dongqing Xie, Zhiping Fan
Guangzhou University, China
Abstract—Hoare’s logic helps with program state descriptions, but is difficult to manipulate. Model checking emerged as a new
trend in program verifications is best applied to system designs rather than implementations. This paper is committed to establish a
component-based verification framework that combines both of them. The method applied consists of two steps: regarding
predicates as states and connecting them with functional components in light of their relationships. Once a framework is set up, both
program generation and verification can be automatically carried out. The principle presented here is not only applicable to
sequential programs, but also to other types of program structures and paradigm such as iteration, branch structure and grammatical
evolution, etc.
Session 6: IT and its Applications
Chair: TBA
12 presentations
Venue: Emerald Room
A001
Options for Land Conservation Practices Based on Land Uses in Kungkai Watershed, Bengkulu, Sumatera,
Indonesia
Muhammad Faiz Barchia
Faculty of Agriculture, University of Bengkulu, Indonesia
Abstract— This research aims to determine options for land conservation practices based on land uses and functions in Kungkai
watershed, Bengkulu, Sumatera, Indonesia. The research was conducted from March to May, 2013 in the Kungkai watershed
geographically lying on between 102022’25‖ - 102036’15‖ Lat., and on 3048’25‖ - 407’37‖ Long. This area is involved of Seluma
District, Bengkulu Province, Sumatera, Indonesia, with run-off along 45 km to Indian Ocean, covering of 33,134.04 ha. Land
functions over the Kungkai consists of forest conservation areas of Bukit Daun and Bukit Sanggul, Semidang Bukit Kabu wildlife
hunting area, and agriculture cultivation area, and of the Semidang Bukit Kabu enclave.
The Kungkai watershed currently is under environmentally pressures in which 40% more categorizing poor to very poor
conditions. The Semidang Bukit Kabu wildlife hunting area covering 2,275.35 Ha, or 6.88% of the Kungkai watershed almost all
under poor conditions. This wildlife hunting area must be conducted reforestation and re-vegetation. People living, and their
activities on the wildlife hunting area have to re-settle, and out of it. The Bukit Daun and Bukit Sanggul have any opportunities as an
area of social forestry introducing agro-forestry cultivation models with planting of multi-purposes tree species.
All areas of
agriculture cultivation on the watershed need land conservation tillage and management with environmentally sounding for their
26
sustainability productivities. Options for land management practices using cover crops, minimum tillage, till bench terrace
implementation needed for sustainable agriculture on the Kungkai watershed.
A010
Focused ultrasound induced anti-cancer drug delivery with PLGA-DTX encapsulated alginate microbeads
Zhen Jin, Yongjin Choi, Hyunchul Choi and Sukho Park
Chonnam National University, Gwangju, Korea
Abstract—Recently, to improve drug delivery efficiency in cancer therapy, many researchers have been concentrated on drug
delivery system and drug loaded micro/nano particles. In addition, as induction methods for drug delivery, ultrasound, magnetic
field, and infra-red light based inducting methods can be considered. Among them, focused ultrasound is regarded as a promising
candidate for drug delivery system because it can penetrate into a deep site of soft tissue and focus its energy on the target lesion. In
this paper, we fabricated PLGA(poly-lactic-co-glycolic acid)-DTX(docetaxel) encapsulated alginate microbeads with
single-emulsion technique and aeration method. In order to choose an appropriate operating parameters (input voltage, duty factor,
and burst period) of the focused ultrasound, the pressure and the temperature of focal area induced by focused ultrasound were
measured with UT-325 digital thermal detector and needle hydrophone (Muller-platte needle probe, Germany). These measuring
results were compared with the simulation results using COMSOL Multiphysics 4.3a. In addition, the drug releasing rates of the
PLGA-DTX encapsulated alginate microbeads induced by the focused ultrasound were tested. Through these experiments, we
determined the appropriate focused ultrasound parameters as input voltage 500 Vpp, duty factor 25%, and burst period 20 . Finally,
we tested cell cytotoxicity of PLGA-DTX encapsulated alginate microbeads combined with the focused ultrasound induction. We
found that the focused ultrasound induction enhances anti-tumor effect more than 10 %. Consequently, we confirmed that the
focused ultrasound can be an effective induction method for anti-cancer drug delivery system.
A017
Light-assisted Direct Writing, Visualizing, Analyzing System for Micro Pattern using Biomaterials
Li Hao, Seong Young Ko, Jong-Oh Park, and Sukho Park
Chonnam National Univ, Republic of Korea
Abstract—Micro-patterning techniques for additive manufacturing, known as three-dimensional (3D) printing is driving major
innovation in many years. Especially in the arrangement of biomolecules and cells at micro-scale, it allows the development of
clinically relevant tissues composed of multiple cell types in complex architecture. However, most micro-patterning techniques are
just focusing on printing, not for visualizing or analyzing. We report here a multifunctional platform which can be used for
light-assisted
direct-writing,
visualizing,
and
analyzing
for
biomaterials.
The
thermal
responsive
hydrogel
poly-N-isopropylacrylamide (PNIPAM) sample solution was chosen to evaluate this multifunctional platform. The sample was put
on the substrate and its polymerization process was recorded and analyzed under the direct writing system and vision system.
Besides, the swelling/de-swelling properties of PNIPAM were studied by the cooling system. The multifunctional platform
developed in this paper could be used for various applications such as, microfluidics, drug delivery, cell and tissue culturing, high
resolution 2D/3D printing, visualize the polymerization procedure, and analyzing or stimulation the micro-pattern.
A018
Design of 3-D compound Tactons for navigation information display
Zhen Jia, Jianqing Li, Wanpei Geng
Southeast University, China
Abstract—Different from transformational Tactons, compound Tactons are a sequence of two or more one-element Tactons. Previous
studies have investigated the perception of transformational Tactons which encode two or more dimensions of information using
various vibrotactile parameters. Little has been done on how to design compound Tactons to present non-visual information
effectively. This paper investigates recognition rates for compound Tactons which encode multidimensional navigation information.
Experimental results show that overall identification rate for three-parameter Tactons is 92.65% by using different vibrotactile
27
parameters, suggesting compound Tactons are a promising method of conveying complex information. This study will guide
designers to select suitable compound Tactons for use when navigating in a virtual or real urban environment.
T008
A Framework for Information Accuracy (IA) Assurance Practices in Tourism Business (TB)
Sivakumar Pertheban, Mohd Naz'ri Mahrin and Bharanidharan Shanmugam
Universiti Teknologi Malaysia
Abstract—Tourism Business (TB) is the world prominent profitable industry. Development and future of the TB recognized as
financial driven to increase and contributes to a country financial performance. The major concerns in current TB, information’s are
mean to be overwhelming, lack of accurate information and unfiltered information that makes available through web repositories,
social networks and tourists/travellers service/agencies or information centres’. Failure of Information Accuracy (IA) Assurance in
TB influences poor decision making capability among the tourists/travellers. Tourism related information’s can be improved to
obtain good trust, reduce discrepancy and increase IA Assurance. As the quality of the information is vital, IA Assurance is the major
research concern to ensure the only trusted and accurate information available for tourists/travellers as a guide to make a decision.
This paper will address the issues of IA in TB to propose IA Assurance Practices Framework for TB to ensure a good accuracy level
of information being used for decision making.
T014
Designing Basic Relational Database for Analysis Land-Use Change
Orawit Thinnukool, Noodchanath Kongchouy
Abstract—The processing and analysis of spatial data especially land-use are becoming increasingly dependent on the methodology
used in managing the data rather than only using only Geographic Information System (GIS) software. Our approach in handling
spatial data for recorded land-use data using basic land-use concept saves cost and is effective for developing land-use analysis. The
aim of the study is to design and explain how land use data can be retrieved and managed by a free. The example was used to
analyze land-use change, with freely available tools. These tools can handle the spatial data very well. The computation was based
on the actual number of observations via Google Earth with free version on pilot area. The results demonstrate the use of normal
statistics analysis for prediction in the analysis of land use change is easy to understand.
T024
An Edge-Based Algorithm for Spatial Query Processing in Real-Life Road Networks
Ye-In Chang, Meng-Hsuan Tsai, and Xu-Lun Wu
National Sun Yat-sen University, Taiwan
Abstract—Due to wireless communication technologies, positioning technologies, and mobile computing develop quickly, mobile
services are becoming practical and important on big spatiotemporal databases management. Mobile service users move only inside
a spatial network, e.g. a road network. They often issue the K Nearest Neighbor (KNN) query to obtain data objects reachable
through the road network. The challenge problem of mobile services is how to efficiently answer the data objects which user interest
to the corresponding mobile users. Lu et al. have proposed a RNG (Road Network Grid) index for speeding up the KNN query on
real-life road networks. Since they divide the road, this makes the number of points of the graph increase. It increases the execution
time of constructing the index structure. Therefore, in this paper, we propose a network model that captures the real-life road
networks. We map the real-life road networks into graph directly. Then, based on our network model, we propose an EBNA
(Edge-Based Nine-Area tree) index structure to make the search time of obtaining the interest edge information quickly. From our
simulation result, we show that the performance of constructing the EBNA index is better than constructing the RNG index and the
performance of the KNN query processing by using EBNA index is better than the KNN query processing by using RNG index.
T029
The Relationship between Technology Planning Capability Enhancement, the Technology Roadmap, and
Innovation
28
WON IL LEE
Hanbat National University, South Korea
Abstract—This paper studies the link between enhanced technology planning capabilities, the adoption of a technology roadmap,
and innovation in organization in R&D organizations. A case study approach was used to examine the implementation of a
technology management framework, the degree of institutionalization of a technology roadmap, and the impact on innovation.
Based on the case analysis, the following propositions are suggested.(P1) The establishment of a technology management
framework can have a positive effect on the adoption and utilization of a technology roadmap. (P2) The adoption and utilization of a
technology roadmap map can have a positive effect on innovation within an organization. Thus, this study analyzes the mechanism
of technology planning and its effect on innovation within an organization.
T035
Discovering Association between Metabolic Syndrome and Its Related Chronic Diseases Represented by ICD-10
Code
Supak Iamongkot, Sotarat Thammaboosadee and Supaporn Kiattisin
Abstract—This paper applies the association rules method to discover the relationship between metabolic syndrome and its chronic
diseases. The sample data used in this research is medical records specified to metabolic syndrome patients in a large government
hospital. The Apriori and FP-Growth algorithms are chosen to be compared in the performance and applicable results of extracting
the relationship of the metabolic syndrome patient records represented by ICD-10 code. The results show that the Apriori can extract
6 rules and 724 rules from FP-Growth. The comparative results between Apriori and FP-Growth found that 6 rules are common. The
overall results show that the metabolic syndrome patients mostly have strong relationships with hypertension, obesity and diabetes.
Interestingly, these diseases often occur with the patients was diagnosed that was metabolic syndrome. Additionally, the results
would bring to the suggestion in metabolic syndrome patients to know about the relationship of these chronic diseases. Moreover,
the physicians could use this guide for the treatment strategy in the future.
T045
Variability Model Implementation on Key Performance Indicator Application
Meiliana, Derwin Suhartono
Abstract—Key Performance Indicators evaluate the success of an organization of a particular activity. A case study describes a
continuous improvement of key performance indicators’ specification process that is updated beginning of each year on Bina
Nusantara University. The process is specified based on organization’s goal, and will be break down to all existing unit with
different specific performance indicator. This specification process will lead to variability indicators in several available roles.
Variability model used in this paper was designed from a design pattern as one of variability mechanism that is modelled to reflect
metric specification process. Variability occurs as varying degree of metrics entity specification process, which is similar to Key
Performance Indicator specification process. Modelling variability on key performance indicator specification process aims to
support flexibility on specifying generic goal to specific measurement or indicators. Implementing variability model to key
performance indicator specification process is the focus of this paper, with support tool of Key Performance Indicator specification
process provided.
T057
Internet CaféManagement System with Remote Control and Bypass Features
Kanda Runapongsa Saikaew, Channarong Janpanich, Suchart Joolrat, Patcharaporn Jiranuwattanawong,
Kittiphan Sornsakda, Arnut Chaosakul
Khon Kaen University, Thailand
29
Abstract—Currently we are now in the digital era where the smart phones and the internet fee are cheaper. However, there is still the
need for the internet caféfor teaching, training, or students with financial problems. Thus, it is important to have efficient internet
cafésoftware to management college cluster rooms. There are existing internet caféprograms, but they can setup on only Windows
XP and users must login twice to authenticate the service. We have designed and developed the system that consists of three parts:
web service, web application, and windows application. The purpose of web service is to transfer data between web application and
windows application. The developed web application is designed to manage interface and perform remote control on the client
computers.
Furthermore, for authorized users whose information may not be in the directory service, they can login to the system
with the implemented bypass feature enabled by only internet caféstaff. The developed windows application is designed to lock
screen and receive order from the web application. With the implemented system, internet café staff feels more convenient in
managing computers and students can login to computers more quickly.
T3008
A Low Cost Serious Failure Tolerance Solution in Unreliable NoCs
Letian Huang, Guangjun Li, Xiaofan Zhang, Zhiyong Guo
University of Electronic Science and Technology of China
Abstract—Faults may occur in numerous locations of a router in a Network on Chips (NoCs) platform, special in low power NoCs.
Most of the researchers only focus on the effects of the faults in the data path. However, the effects in the control path may cause
more seriously failure in NoC such as deadlock or live lock. In this paper, we analysis the probability of the serious failure in NoCs
and propose a mechanism to reduce the failures. This mechanism is called LCEC, standing for four distinguishing characteristics of
the proposed method as Low Cost Error Correct. The proposed mechanism is not limited to special types of faults or specific router
components while it has the capability to tolerate faults by using simple error correct codes and scaling the clock frequency.
 Tips:
The best paper will be selected after each session and the certificate will be awarded
by the chair. Good Luck!
Tuesday Evening, Feb. 3
6:30 pm to 8:30 pm--Dinner
Location
Restaurant
 Tips: The Dinner will start at 6:30pm. Please kindly attend on time with bringing the Dinner Coupon.
30
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