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FRONT PAGE Melbourne, Australia | January 16-19, 2019

CONFERENCE ABSTRACTS

The 11th International Conference on

Computer Modeling and Simulation

(ICCMS 2019)

Workshop

The 8th International Conference on

Intelligent Computing and Applications

(ICICA 2019)

Melbourne, Australia | January 16-19, 2019

Published by

Sponsored by

CONTENT Melbourne, Australia | January 16-19, 2019

Welcome Letter····························································································3

Venue····························································································4 Notes and Tips·································································································6 General Agenda at a Glance·········································································7

Introduction of Distinguished Speakers·················································10 Speeches·························································································15

Parallel Sessions·························································································18

Social Networking Event···········································································47

WELCOME Melbourne, Australia | January 16-19, 2019

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Dear professors and distinguished delegates, Welcome to the 11th International Conference on Computer Modeling and Simulation with workshop of the 8th International Conference on Intelligent Computing and Applications in Melbourne! We wish to express our sincere appreciation to all Conference Chairs, Program Chairs, and Technical Committees. Their high competence and professional advice enable us to prepare the high-quality program. Special thanks to the invited speakers as well as all the authors for contributing their latest research to the conference. We hope all of you have a wonderful time at the conference and also in Melbourne. The conference is featured with keynote speeches, plenary speeches, invited speech and parallel sessions. One best presentation will be selected from each parallel session, evaluated from: Originality, Applicability, Technical Merit, Visual Aids, and English Delivery. Wishing you all the very best of luck with your presentations! We believe that by this excellent conference, you can get more opportunities for further communication with researchers and practitioners with the common interest in computer modeling and simulation, intelligent computing and applications. In order to hold more professional and significant international conferences, your suggestions are warmly welcomed. We look forward to meeting you again next time. Yours sincerely, ICCMS 2019 Melbourne, Australia

VENUE Melbourne, Australia | January 16-19, 2019

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Jasper Hotel

Add.: 489 Elizabeth Street, Melbourne VIC 3000 Australia http://www.jasperhotel.com.au/

Perfectly located on Elizabeth Street in Melbourne's thriving Market Precinct, the vibrant, newly refurbished Jasper Hotel is a full-service boutique hotel offering 90 contemporary rooms and suites with free Wi-Fi, casual dining options at Jasper Kitchen and extensive conference and meeting facilities.

http://www.jasperhotel.com.au/

VENUE Melbourne, Australia | January 16-19, 2019

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Transport

Tram Several trams reach the city from various north and north-western suburbs including routes 19, 57, 59 and 68 that travel along Elizabeth Street stopping outside Jasper Hotel. Trams on Elizabeth Street connect with most other services from Melbourne’s outer suburbs. Other tram routes within 200 metres of Jasper Hotel are Swanston Street 1, 3, 5, 6, 8, 16, 22, 64, 67, 72 and Latrobe Street 24, 30, 34. Train Catch any service into the city centre via the City Loop. Depart at Melbourne Central Station and take the Elizabeth Street exit to the corner of Latrobe and Elizabeth Streets. Walk 200 meters north along Elizabeth Street to Jasper Hotel, located on the left hand side over Franklin Street just before Therry Street.

NOTES & TIPS Melbourne, Australia | January 16-19, 2019

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Notes:

You are welcome to register at any working time during the conference.

Please kindly keep your Paper ID in mind so that the staff can quickly locate your

registration information onsite.

Certificate of Listener can be collected in front of the registration counter. Certificate of Presentation will be awarded after your presentation by the session chair.

One Best Presentation will be selected from each parallel session and the author of best

presentation will be announced and awarded when the session is over.

Your punctual arrival and active involvement in each session will be highly appreciated.

Please kindly make your own arrangements for accommodations.

Please keep all your belongings (laptop and camera etc.) with you in the public places, buses, metro.

Warm Tips for Oral Presentation: Get your presentation PPT or PDF files prepared.

Regular oral presentation: 15 minutes (including Q&A). Laptop (with MS-Office & Adobe Reader), projector & screen, laser sticks will be provided by

the conference organizer.

AGENDA Melbourne, Australia | January 16-19, 2019

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< January 16, 2019, Wednesday>

The Lobby

10:00-17:00 Onsite Registration & Conference Materials Collection

< January 17, 2019, Thursday> Morning

Room 1 & Room 2

09:00-09:10

Opening Remarks

Prof. Ghassan Beydoun University of Technology Sydney, Australia

09:10-09:50 Keynote Speech I

Prof. William Guo

Central Queensland University, Australia

Speech Title: Computational Intelligence for Solving Traveling Salesman Problems: Common Issues on the

Research Output

09:50-10:20 Plenary Speech I

Prof. Wernhuar Tarng

National Tsing Hua University, Taiwan

Speech Title: Applications of Virtual Reality and Augmented Reality in Science Education

10:20-10:50 Group Photo & Coffee Break

10:50-11:30 Keynote Speech II

Prof. Ghassan Beydoun

University of Technology Sydney, Australia

Speech Title: Agent Oriented Analysis in Support of Knowledge Based Interfaces


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11:30-12:00 Plenary Speech II

Assoc. Prof. Kai Qin

Swinburne University of Technology, Australia

Speech Title: Collaborative Learning and Optimisation

12:00-12:20 Invited Speech I

Assoc. Prof. Guolei Tang

Dalian University of Technology, China

Speech Title: Evaluating the Impact of LNG Carriers’ Arrivals and Departures on Port Performance Based on

Agent-based Simulation

Lunch @Restaurant <12:30-13:30>

< January 17, 2019, Thursday > Afternoon

13:30-15:30

Session I - Computer Modeling and Numerical Analysis: Calculation, Method, Analysis

8 presentations Meeting Room 1 CA1073, CA1067, CA3049-A, CA1078, CA1010, CA1020,

CA3040, CA3016

Session II - Image Processing 6 presentations

Meeting Room 2

CA1042, CA3021, CA3022, CA3036, CA3047, CA1005

Session III - Communication System Design and Modeling 8 presentations

Meeting Room 3 CA1004, CA1043, CA1051, CA1074-A, CA2001, CA3015,

CA3019, CA1012

Coffee Break <15:30---15:45>

15:45-18:00

Session IV - Data Science and Electronic Information Technology

9 presentations Meeting Room 1 CA1018, CA1044, CA1007, CA1053, CA1076, CA3024,

CA3004, CA1060, CA1002


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Dinner @Restaurant <18:00- 20:00>

< January 18, 2019, Friday > Morning

< January 18, 2019, Friday > Afternoon

Academic Visit

* Participants need to sign up in advance.

14:00-17:00 Swinburne University of Technology

< January 19, 2019, Saturday >

SOCIAL EVENT

* Participants need to sign up in advance. Federation Square → The National Gallery of Victoria → St Paul's Cathedral → Royal Botanic

Gardens Victoria → Sea Life Melbourne Aquarium

The above places are for references, and the final schedule should be adjusted to the actual notice.

Session V - Computer Theory and Application 8 presentations

Meeting Room 2 CA1054, CA3009, CA3018, CA3033, CA3045, CA1055,

CA3048, CA1031

15:45-17:45

Session VI - Biological System Modeling and Calculation 8 presentations

Meeting Room 3 CA1029, CA1069-A, CA1052, CA3037, CA3007-A, CA1045-A,

CA1061-A, CA1049

09:00-11:15

Session VII - Electromechanical Design and Modeling 9 presentations

Meeting Room 3 CA1046, CA1072, CA1065, CA1063, CA1017, CA1068,

CA1064, CA1032, CA1013

Poster Session

CA3030, CA1021, CA1008, CA2004

KEYNOTE Melbourne, Australia | January 16-19, 2019

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Prof. Ghassan Beydoun

University of Technology Sydney, Australia

Professor Ghassan Beydoun is currently based at the Faculty of Engineering and Information Technology in University of Technology Sydney, where he is also deputy Head of School (Research) Systems, Management and Leadership at the University of Technology Sydney. He is also an adjunct senior research fellow at the School of Information Systems, Management and Technology at the University of New South Wales, an associate editor of the International Journal of Intelligent Information Technologies (IJIIT) and an Editorial member of the Journal of Software. He received a degree in computer science and a PhD degree in knowledge systems from the University of New South Wales in 2000. His research interests include multi agent systems applications, ontologies and their applications, and knowledge acquisition. He is currently working on a project sponsored by an Australian Research Council Discovery Grant to investigate the best uses of ontologies in developing methodologies for complex systems and another project with SES on exploring the use of ontologies for flood management decision support. He has authored more than 100 journal and conference papers in these areas over the past 15 years. His most recent publication appeared in IEEE Transactions of Software Engineering, Information Systems journal, Information and Management, International Journal of Human Computer Studies, Information Processing and management and others.

KEYNOTE Melbourne, Australia | January 16-19, 2019

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Prof. William Guo

Central Queensland University, Australia

Professor William Guo teaches and researches in computation and applied mathematics at Central Queensland University Australia (CQU). He was the Dean of the School of Engineering and Technology at CQU from Jan 2014-Jan 2015, and the Deputy Dean of the School from Feb 2013-Jan 2014. He has significant experience in academic governance through his services in various committees and boards since 2009, including CQU Education Committee (2011-2012), CQU Academic Board (2013-2014), and Australian Council of Deans of ICT (2013-), and as an Executive Member of Australian Council of Professors and Heads of IS (2012-). His teaching over the past 13 years has covered data structures and algorithms analysis, computational intelligence, systems analysis and architecture, IT/IS project management, e-Business, digital forensics, information security, research methods, and engineering mathematics. He was the recipient of CQU Vice-Chancellor’s Award for Good Practice in Learning and Teaching (2012) and Commendation in Student Voice Awards (2014). His research interests include computational intelligence, image processing, bioinformatics, big data modelling and simulation. He has published more than seventy papers in international journals and conference proceedings, and a new text (published by Pearson) in advanced engineering mathematics in 2014. He has supervised research higher degree students to completion. He is a member of IEEE, ACM, ACS, and Australian Mathematics Society (AUSTMS).

PLENARY Melbourne, Australia | January 16-19, 2019

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Assoc. Prof. Kai Qin


Dr. Kai Qin received the B.Eng. degree from the School of Automation at Southeast University (Nanjing, Jiangsu, China) in 2001, and the Ph.D. degree from the School of Electrical and Electronic Engineering at Nanyang Technological University (Singapore) in 2007. In 2005, he had visited the Illinois Genetic Algorithms laboratory (led by Prof. David E. Goldberg) at the University of Illinois at Urbana- Champaign (Urbana, IL, USA) for three months. From 2007 to 2009, he had worked as a postdoctoral fellow in the Vision and Image Processing Lab in the Department of Systems Design Engineering at the University of Waterloo (Waterloo, Ontario, Canada). From 2010 to 2012, he had worked in the MISTIS Team at INRIA Grenoble Rhone-Alpes (Grenoble, France), firstly as a postdoctoral researcher and then as an expert engineer. From 2012 to 2017, he had worked in the School of Science at RMIT University (Melbourne, Australia) as a Vice-Chancellor's Research Fellow, Lecturer and Senior Lecturer. Now, he is an Associate Professor in the Department of Computer Science and Software Engineering and the Data Science Research Institute at Swinburne University of Technology. His major research interests include: Machine Learning, Evolutionary Optimization, Image Processing, GPU Computing, Services Computing, and Mobile and Pervasive Computing.

PLENARY Melbourne, Australia | January 16-19, 2019

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Prof. Wernhuar Tarng

National Tsing Hua University, Taiwan

Wernhuar Tarng is currently a professor at the Institute of Learning Science and Technology, National Tsing Hua University, Hsinchu, Taiwan. He was the director of Computing and Networking Center, National Hsinchu University of Education, Taiwan from 1993 to 2004 and the chairman of the Graduate Institute of Computer Science from 2008 to 2012. From 1980, Prof. Tarng conducted his undergraduate study at National Chiao Tung University, Hsinchu, Taiwan and he was graduated from the Department of Control Engineering in 1984. He received his M.S. degree (1987) and Ph.D. degree (1992) from the Department of Electrical and Computer Engineering, State University of New York at Buffalo, USA. Prof. Tarng has received more than 20 grant projects funded by Ministry of Science and Technology (MOST), Taiwan and published over 100 research papers in the field of computer science, engineering, networking, and learning technologies. Prof. Tarng was a visiting professor of Distant and Online Learning Center, Oxford University, UK in 2002 and a visiting scholar at Hear and Say Centre, Brisbane, Australia from 2014 to 2015. His current research interests include: e-Learning technologies, virtual reality, augmented reality, game-based learning, image processing, pattern recognition, computer architecture, and computer networking.

INVITED Melbourne, Australia | January 16-19, 2019

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Assoc. Prof. Guolei Tang

Dalian University of Technology, China

Dr. Guolei Tang is currently working at the Research Institute of Port, Coastal and Offshore Engineering at Dalian University of Technology (Dalian, China). In 2009, he received the Ph.D. degree from the School of Hydraulic Engineering at Dalian University of Technology. From 2009 to 2011, he had worked as a postdoctoral fellow in the Faculty of Infrastructure Engineering at Dalian University of Technology and then worked as lecturer from 2011 to 2015. In 2015, he visited Delft University of Technology (Delft, Netherlands) for one year. Now, he is an Associate Professor in the Research Institute of Port, Coastal and Offshore Engineering at Dalian University of Technology. His research focuses on Smart Port: Simulation, Planning & Scheduling and Decision Support System. In the past few years, his research has been supported by National and Provincial Natural Science Foundation, such as “Adaptive container terminal operation coupling multisource information fusion with the big data challenges” and “Ship behavior analysis based on AIS data using Hadoop/Spar.

ABSTRACT Melbourne, Australia | January 16-19, 2019

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Opening & Speeches January 17

Time: 09:00-12:20

Room 1 & Room 2

09:00-09:10 Opening Remark

Prof. Ghassan Beydoun University of Technology Sydney, Australia

09:10-09:50

Computational Intelligence for Solving Traveling Salesman Problems: Common Issues on the Research Output

Prof. William Guo Central Queensland University, Australia

Abstract- The traveling salesman problem (TSP) is a classic problem of combinatorial optimization called the NP-complete problem, which is hardly solvable efficiently by any analytical algorithm. Hence, a variety of heuristic algorithms using techniques of computational intelligence have been devised to produce approximate solutions that may be deemed good enough to applications involving TSPs. Some common issues are often encountered during the evaluation of research outputs of using computational intelligence to solve various TSPs. These issues can be raised from either some improper statements wrongly or overly claimed by the researcher who conducted the research or the comments on the research output made by some ‘so-called’ expert reviewers. In this talk, some of these common issues or questions encountered from the both ends are discussed.

09:50-10:20

Applications of Virtual Reality and Augmented Reality in Science Education Prof. Wernhuar Tarng

National Tsing Hua University, Taiwan Abstract- Virtual reality (VR) is a human-computer interface to create a 3D virtual world for simulating the real environments through one's sense organs. Based on the sensor data such as the current orientation and position, a VR system can detect the user’s reaction and provide interactive feedback in real time. Augmented reality (AR) emphasizes the combination of contexts in the real world with virtual or real situations to intensify its interaction with the user. AR can integrate a real environment with virtual objects to enhance the comprehension of environmental context and the sense of reality in a more interactive way. Recently, more and more VR and AR applications have been developed on mobile and head-mounted devices for entertainment and educational applications. VR and AR can simulate realistic situations by 3D animation, so they are useful for presenting abstract concepts, theories and experimental processes to enhance cognition and immersion in learning activities. A virtual yet close-to-real environment can avoid the danger and reduce the cost in the real world while satisfying major requirements. Because VR and AR have high interactivity and the


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sense of reality, they can attract the interest of users and are thus suitable for applications in science education.

10:20-10:50

Coffee break & group photo

10:50-11:30

Agent Oriented Analysis in Support of Knowledge Based Interfaces Prof. Ghassan Beydoun

University of Technology Sydney, Australia Abstract- The use of Agent Oriented Analysis to facilitate knowledge analysis and transfer in complex settings is a non-traditional way of using the agent based paradigm. The final outcome in this context is not an agent based software system rather a knowledge rich interface between two software components or between a human user and a software system. I will show the effectiveness of agent analysis from this point view in two domains of applications illustrating each case. The first is in modelling of complex Disaster Management scenarios and the second is in developing an IoT based interface.

11:30-12:00

Collaborative Learning and Optimisation Assoc. Prof. Kai Qin


Abstract- Learning and optimisation are two essential tasks that computational intelligence aims at addressing, where numerous techniques have been developed for these two purposes separately. In fact, learning and optimisation are closely related. On the one hand, learning can be formulated as a model-centric or data-centric optimisation problem, and accordingly solved by optimisation techniques. On the other hand, optimisation can be regarded as an adaptive learning process, and thus tackled via learning approaches. This talk will discuss collaborations between learning and optimisation from the aspects of optimisation for learning, learning for optimisation and learning plus optimisation, and describe some recent works as case studies in each of these three aspects.

12:00-12:20

Evaluating the Impact of LNG Carriers’ Arrivals and Departures on Port Performance Based on Agent-based Simulation

Assoc. Prof. Guolei Tang Dalian University of Technology, China

Abstract- China’s imports of Liquefied Natural Gas (LNG) have grown to meet increasing domestic natural gas consumption, which has been primarily driven by environmental policies to transition away from coal-fired electricity generation. As well known, ports play a pivotal role in the growth of LNG, holding the responsibility for building the infrastructure required to handle cryogenic fuel. Therefore, there are many ports in


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China planning to build up LNG terminals in recognition of the new opportunities and a growing LNG market will generate. During the planning and development phase of an LNG terminal, in addition to the marine facilities needed to safely berth they need to consider load and discharge, suitable storage tanks, maintaining a safety perimeter and the provision of other equipment which may be needed. For example, no passing shall take place between an LNG vessel and any vessel other than controlled craft/s during the transit through the Channel area; separation between LNG vessels and other vessels in the Channel in the same direction shall be minimum one hour for all type of vessels throughout the transit; and the entry of the vessel into the channel on her arrival and the departure from the berth will only commence during daylight hours when it is estimated that the vessel transit will also be completed during daylight hours. These safety standards and regulations for operating LNG carries during the transit through the Channel area, may prevent development of other vessels especially the container vessels and Ro-Pax vessels within the port. And this would lead to more waiting time for other vessels, and increase their operational costs because of the limited capacity of entrance channels, especially in the case of very long one-way traffic entrance channels. Therefore, considering stochastic characteristics of the port system, an evaluation framework is necessary to explore the impact of LNG carriers’ arrivals and departures on port performance, locate the bottleneck and propose improvement plans. To evaluate the performance of the stochastic port system, this study implemented a agent-based simulation model, which simulates the traffic flows of ships with different priorities in channels including LNG vessels, container vessels, Ro-Pax vessels, bulk carriers, and oil carriers. Finally, the proposed framework is applied to Dandong Port with 100 berths and 12-nautical-mile channel, and to explore the feasibility of new built LNG terminals, and evaluate the LNG carriers’ arrivals and departures on port performance, and identify possible improvement strategies to support the building of LNG terminals.

Lunch Time <12:30-13:30> Location: Restaurant

Note: lunch coupon is needed for entering the restaurant.


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Session I: Computer Modeling and Numerical Analysis: Calculation, Method, Analysis

January 17 Time: 13:30-15:30

Meeting Room 1

Chair: Assoc. Prof. Guolei Tang, Dalian University of Technology, China

CA1073 13:30-13:45

The Implementation of the Numerical Simulation by Utilization of Pyrosim on the Rectification of the Hazard of Fires Tianxi Liang, Jian Liu and Peng Tao

Presenter: Tianxi Liang University of Science and Technology Beijing, China

Abstract-In order to verify whether the building can meet the requirements of safe evacuation during a fire or not, finding an optimum design of the smoke exhaust system, the author used Pyrosim software to establish the fire model for the Dongyuan Building, a crowd-intensive public commercial space glutted with restaurants. The fire simulation model was used to simulate to simulate the performance of three types of air vents, each is in 5 different air velocities when two most likely kinds of fire source are on fire respectively. Using the temperature area proportional method of proposed an optimization scheme for the simulation results and verifying its optimization effect. The appropriate air vent position, the air flowrate and a feasible optimization scheme, which can enhance the requirement for the safe evacuation of personnel in the fire event.

CA1067 13:45-14:00

A Model of Smart Meter Time Series Omid Motlagh and Jiaming Li

Presenter: Omid Motlagh CSIRO, Australia

Abstract-Smart meter time series often show time features and cycles that relate well to their key underlying determinants. Yet, the time series are somewhat stochastic due to the extreme variability in occupants’ behaviours, occupancy, the presence of electrical appliances, varying weather conditions and the specifics of the home’ s building envelope. This makes information gain a challenge when it comes to compression of big datasets, which otherwise would be overwhelming. This paper examines a method of modeling smart meter time series in the state space, so that the information gain is maximised. Some theories are discussed using a large residential smart meter dataset, from the Smart Grid Smart City project in Australia. The hypothetical outcomes and an account of the future works are also included.

CA3049-A 14:00-14:15

On Town Border Evolution Model of Residential Blocks Kobayashi Yukitaka, Takahiro Suzuki and Shioya Isamu


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Presenter: Kobayashi Yukitaka

Hosei University, Japan

Abstract- Many persons are living in the towns, and each town is partitioned into many blocks. Their blocks are surrounded by a residential boundary or border. This paper presents a formalization of which residential section/blocks are essential for discussing the features of the model to describe a life of town streets. We take two typical residential sections in Tokyo, presents the features of the sections, and reproduces future general section boundaries that are taking into the updates in temporal boundaries based on Schelling segregation model. We focus two features of residential blocks in this paper: one is the line lengths of boundaries in sections/blocks, and the other is the angles between two lines of boundaries, where their boundaries are represented by piecewise linear. Then, we show that we can find the human features, power law, in the general town street patterns.

CA1078 14:15-14:30

A Study for Real-Time Identification of Unsafe Behavior of Taking Off Safety Helmet Based on VSM Model

Jinxin Gao, Jian Liu and Jing Han Presenter: Jinxin Gao

University of Science & Technology Beijing, China Abstract-The unsafe behavior of workers is one of the main causes of injury accidents. However, there are two main management methods to control unsafe behavior: on the one hand, through safety education and training to improve the safety awareness of personnel, so that they reduce the occurrence of unsafe behavior; on the other hand, e.g. Behavior-Based Safety (BBS), safety managers supervise and manage workers' behavior to end the persistence of unsafe behavior. However, the former not only needs to invest a lot of money and time, but also has a slow effect and a long profit period. The latter also consumes large cost, and safety managers can not supervise all workers in real time. In order to solve the problems existing in the management of unsafe behavior and improve the safety protection effect of workers, taking the removal of safety helmet as an example, a vector space model based on computer modeling technology was proposed to identify workers' unsafe behavior in real time. With the low cost wearable experimental device, the key parameters and value ranges of the vector space model are obtained. The experimental results show that the model is feasible, real-time and effective, and can identify unsafe behaviors. This study is conducive to the real-time management of workers' unsafe behavior, and with the help of future related research, the wearable experimental device and the scope of this method can be improved, and the cost can be further reduced. Therefore, this study is conducive to enhancing the effectiveness of personnel safety management.

CA1010 14:30-14:45

Study of the Influence of an Obstacle on the Evacuation Behavior Using Multi-Agent Simulation where the Intimate Space around each Agent is Considered


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Asuka Hashimoto, Kyo Takata, Nao Ito, Ryuichi Matoba, Kentaro Tani and Yoshinobu Maeda

Presenter: Asuka Hashimoto National institute of technology, Toyama College, Japan

Abstract-In this study, we constructed a continuous space simulation model for an evacuation in which the evacuees are represented by agents. The agents are designed to be self-driven and have intimate spaces around their bodies. An agent recognizes an exit and drives itself towards it while maintaining its distance from other agents. When a bottleneck occurs around an exit, the intimate space around the agent is reduced into its body and the agent can drive itself through the bottleneck to the exit. Using this model, we examined the influence of the placement of an obstacle on the outflow of the evacuees. The results suggest that the best position of an obstacle depends on the size of the exit.

CA1020 14:45-15:00

Regulation Function for Agent Adaptation Issues in Ambient Environment Irène Velontrasina, Denis Payet and Rémy Courdier

Presenter: Irène Velontrasina University of Reunion, France

Abstract-In this work we deal with action selection issues for software agent operating in ambient environment which is highly dynamic. Unpredictable events may occur and inappropriate actions may damage the software and its environment. Adaptation ability is a key requirement for such issues. We use multi-agent paradigm to address them. We propose a regulation function within agent architecture. It is a filter which acts on the stream of behaviour before it becomes or not action. The aim is to cope with environmental changes without the need to predict them precisely at design-time. To this end, we introduce the In uence-Reaction Model into the agent behaviour management. To facilitate its application, we implement the resulting architecture as a Java library called MECA. We experiment it with an agricultural robot moving through a field.

CA3040 15:00-15:15

The CAN FD Vehicle Network System with Machine Learning and Scheduling Algorithms

Yung-Hoh Sheu, Cheng-Yo Huang, Chen-Yu Yang and Yi-Hong Lin National Formosa University, Taiwan

Presenter: Yung-Hoh Sheu National Formosa University, Taiwan

Abstract-The controller area network with flexible data-rate (CAN FD) inherits the primary features of a controller area network (CAN); thus, exploring the possibility of establishing a hybrid CAN and CAN FD network is essential. To develop the CAN FD network effectively, this study proposed a machine learning K-means data clustering method. The K-means method algorithms, the squared Euclidean distance was used to cluster CAN FD data. The results showed that the proposed system was compatible with current CAN vehicle networks. Experiments on processing five data quantities of CAN


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FD data verified that the K-means algorithms could effectively reduce the data loss rate of the CAN FD network by changing the priority of various CAN FD data according to the clustering result. Specifically, given CAN FD arbitration phase rate = 1 Mbps, for the data phase rate = 2 and 4 Mbps, the data loss rates were reduced by 7.49% and 8.34%, respectively, by using the squared Euclidean distance algorithm.

CA3016 15:15-15:30

Estimating Productivity in a Scrum team: A Multi-Agent Simulation Zhe Wang

Presenter: Zhe Wang Lincoln University, New Zealand

Abstract-Scrum is an agile framework within which people can address complex problems, while productively and creatively delivering products of the highest possible value. There are many factors that may affect the completion of a project including the team dynamics, how tasks and user stories are organized by the team members in each sprint, the capabilities of the team members and the complexity of each task. For this reason, it is often difficult to estimate how much work can be completed in a sprint as this is dependent on how much work can be done by the team within a fixed time. A delay in a single sprint may affect subsequent sprints which in turn may delay the delivery of the project. This paper describes a multi-agent based simulation that can be used to estimate the completion of a software project based on the composition of the team, the complexity of the tasks and potential problems that may arise during the software development process.

Session II: Image Processing January 17

Time: 13:30-15:00

Meeting Room 2

Chair: Prof. Hongchun Qu, Chongqing University of Posts and Telecommunications, China

CA1042 13:30-13:45

A Comparative Study of Face Recognition under Pose Variation Ali Rehman Shinwari, Ilkka Kosunen Analyst, Ala Abdulhakim Alariki, Sami Abduljalil

Abdulhak Naji Presenter: Ali Rehman Shinwari

American University of Afghanistan, Afghanistan Abstract-Face recognition algorithms enable computational devices to recognize faces. It has a widespread application in commerce, law enforcement and can be effectively used in criminal identification, healthcare, advertising, access and security, payments and other different areas. Face recognition has many advantages over other biometric techniques, such as intrusiveness, user consent, surveillance, and it is completely software-based. However, it also has some


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limitations, such as large template size, distinctiveness, accuracy, and stability. The purpose of this work is to find and compare the accuracy of three different facial recognition algorithms against the face datasets having considerable pose variation in the x-axis (left and right variation). The methodology for this study covers data collection (the process of collecting facial datasets), pre-processing (the process of cleaning data and making it ready for further operations), processing (to apply learning algorithms either to design a template or extract features), training, and classification. To train and test a model with every single image instance available in the dataset, we have used the K-Fold cross-validation method where the dataset is divided into k folds, and each fold will go for training as well as for testing. Based on the conducted experiments, we have observed that the Local Binary Pattern Histogram algorithm has outperformed the other two algorithms by obtaining 79.806 accuracy against the FEI dataset of faces and 61.477 of accuracy against the CVL dataset of faces.

CA3021 13:45-14:00

Simultaneous CFA Demosaicking of Three Color Planes for Improved Color Accuracy Omar Shakar, Jim S. Jimmy Li and Sharmil Randhawa

Presenter: Omar Shakar Flinders University, Australia

Abstract-Color Filter Array (CFA) demosaicking is an interpolation process of reconstructing a full color image from a single image sensor. Conventionally, color planes are demosaicked sequentially. The green color plane is usually demosaicked first due to the fact that it contains twice the information of the other color planes for the Bayer pattern, and then followed by the demosaicking of red and blue color planes. However, this sequential process of demosaicking will produce color artifacts which cannot be recognized until all the color planes have been demosaicked. In our paper, we propose a novel technique to demosaic the three color planes simultaneously so as to avoid the selection of artifact pixels. Based on the interpolation in different directions to estimate a full color pixel for edge preservation, multiple combinations of RGB color values for a pixel location are generated. Among those RGB combinations, some are good estimates while others are color artifacts. Using the color–line property to discriminate those color artifact pixels, an optimum RGB color value from those good estimates will be selected. It has been shown that our proposed algorithm outperforms the other benchmarking algorithms and produces minimal color artifacts. The experimental results have shown consistency in performance in both perceptual and objective evaluation for various types of image datasets.

CA3022 14:00-14:15

Rainbow Connection Number in Pyramid Networks Fu-Hsing Wang and Cheng-Ju Hsu

Presenter: Fu-Hsing Wang Chinese Culture University, Taiwan

Abstract-Rainbow connection number of a connected graph G is the minimum number of colors needed to color the edges of G, so that every pair of vertices is connected by


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at least one path whose edges have distinct colors. In this paper, we propose a linear time algorithm for constructing a rainbow coloring on pyramids.

CA3036 14:15-14:30

A Hybrid Point Indexing Structure Based on Orthogonal and Hexagonal Grids Vojtěch Uher, Petr Gajdoš, Václav Snášel

Presenter: Vojtěch Uher VŠB-Technical University of Ostrava, Czech Republic

Abstract-Multidimensional point indexing is an important task in many scientific areas such as computer graphics, image processing, geographic information systems, machine learning and pattern recognition. This paper proposes a novel 2D structure for efficient Fixed-Radius Nearest Neighbors queries. The standard methods are based on the recursive passage of a spatial tree or direct addressing of uniform grid cells with constant size. Each method is good for different type of data. Our algorithm uses space-filling curves to combine the principles of linear uniform grids and hierarchical recursion. Most of the preferred methods are based on the orthogonal grids. We introduce a novel hexagonal hierarchical structure and provide a comparison of both approaches.

CA3047 14:30-14:45

Generation of Image by Sentence based on Impression Words in Image Shohei Namisato, Kazuaki Yokota, Hiroki Yamaoka, Sho Ooi, Mutsuo Sano

Presenter: Shohei Namisato Osaka institute of Technology, Japan

Abstract-The use of social network services (SNS) have become widespread in recent years, and it is used to express the situation of individual users by using short sentences and images. Especially, young people prefer to express themselves by using short sentences on Twitter and pictures on Instagram. However, CAMPUS LIFE DATA 2017 suggested that young people do few read a long sentence in a newspaper, journal, and more. We think that it is important for people who have not read long sentences to express long sentences with images. Therefore, we aim to express images and short sentences in SNSs from a long sentence in a newspaper, journal, and other reading material in this research. Specifically, we extract the impression of a person looking at an image or after reading a sentence. We calculate the similarity of each extracted word and generate a new image similar to the impression of the sentence. The results indicate that the system could estimate the impression of human beings. However, it was found that a large number of impression words and images are required to improve accuracy.

CA1005 14:45-15:00

Object Detection Method Based on Three-dimension Information Extraction of Laser Point Cloud

Li Hui, Liu Yun, Qian Meiyi, Pei Shujuan Presenter: Li Hui

Qingdao University of Science and Technology, China Abstract-Complexity of object movement and lack of object information due to occlusion have been the bottleneck which restricts the progress of object detection


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research. Whereas laser point cloud makes up the above deficiencies due to its 3D information. This paper analyzes the characteristics of laser data which is interpreted according to the data format and mathematical model of scanning equipment. Through extracting 3D object information and excavating object features of laser point cloud, various feature information of object is defined. Based on integrated learning method, train the object detector of laser point cloud and then achieve object detection in complex scenes. Experimental results show that object detection method based on 3D information extraction of laser point cloud improves the detection performance. Research results provide new research ideas and theoretical basis for the improvement of object detection performance.

Session III - Communication System Design and Modeling January 17

Time: 13:30-15:30

Meeting Room 3

Chair: Prof. Jaejoon Kim, Daegu University, South Korea

CA1004 13:30-13:45

Calculation and Analysis of Quasi-Orthogonal Closed Loop Antenna Arrays’ Mutual Coupling Effects

Shuona Chen, Hui Xie, Hengfeng Wang Presenter: Shuona Chen

Naval University of Engineering China Abstract-In this paper, the mutual coupling effect of orthogonal closed loop antenna array is mathematically modeled, and the calculation formula of the magnetic induction intensity of the simple quasi orthogonal closed loop antenna array and the complex quasi orthogonal closed loop antenna array is derived and the calculation formula of the antenna induction voltage is derived. On this basis, a simulation scheme based on MATLAB platform is also proposed. Through theoretical analysis and calculation, it is found that the antenna in the quasi orthogonal closed loop antenna absorbs the signals emitted by other antennas, and the voltage produced is partly influenced by the mutual coupling effect of other antennas. Moreover, the mutual coupling effect is on the order of 10-6-10-5 compared with the excitation source, so it has little effect on the radiation magnetic field of the antenna itself. However, as the angle between the antennas becomes smaller, the influence of the antennas on each other is greater, and the influence of the mutual coupling effect becomes more serious.

CA1043 13:45-14:00

Many Cores and Still Delays — Simulating Multi-Core Communication Software Execution

Øystein Dale, Stein Kristiansen, Thomas Plagemann and Espen Volnes Presenter: Espen Volnes


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University of Oslo, Norway

Abstract-The effects of software execution are typically ignored in network simulators. This leads to inaccurate simulation results for new and emerging network technologies where packet processing in software has a significant impact on network performance. In this paper we extend our prior work to develop models that capture the temporal aspects of software execution on both uni- and multi-core devices. When executed in parallel with existing network protocol models in network simulators, they significantly improve the accuracy of the simulation results. We demonstrate the applicability of the extended methodology by modeling the execution of communication software on one multi-core device, the Galaxy Nexus smartphone, and evaluate the resulting models in terms of accuracy and scalability. We find that our models are able to reproduce the behavior of the modeled software, and that the models scale well with the number of nodes, cores, and threads included in the simulation; i.e., the simulation overhead increases linearly with the number of nodes.

CA1051 14:00-14:15

A Microservices Oriented Edge Computing Framework for LVC Simulation in the IoT Era Wenxin Sun, Yanlong Zhai, Tianhong Bao, Muhammad Mudassar, Jun Shen and Kai Yang

Presenter: Wenxin Sun Beijing Institute of Technology, China

Abstract-Modeling and simulation are essential methods to better understand a complex system in the real world. Many simulation systems have strong demand for involving physical devices or equipment in the system to improve the fidelity. But most of the current cloud based simulation systems are designed for equipment with adequate resources and suffering from high latency for their centralized communication. Edge computing is getting much attention as a new paradigm for distributed systems involving heterogeneous devices and requiring real-time communication. However, edge computing is still in its initial stage and there is no consensus on the edge framework and implementation. To the best of our knowledge, no detailed studies have explored the edge-side simulation and modeling. In this paper, we study and design an edge-side simulation framework, which exploits light-weight micro services architecture to build scalable and real-time LVC (Live, Virtual and Constructive) simulations. Specifically, the application model is designed to illustrate how LVC simulation integrates with edge computing and cloud computing. The autonomous negotiation service and time synchronization services are discussed in details. Though it is a preliminary edge computing framework for LVC simulation, no similar research has been conducted for modeling and simulation using edge computing.

CA1074-A 14:15-14:30

Intelligent Computing and Applications Harumi Watanabe and Nobuhiko Ogura

Presenter: Harumi Watanabe Tokai University, Japan


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Abstract-This presentation contributes to a test case generation involving the crosscutting concerns feature and the runtime feature. The crosscutting concerns feature means one concern affects multiple modules. Those features cause systems to be complicated and be difficult to build the systems. Modern systems, such as IoT, contains those features because the systems are expected to provide multiple services depend on the surrounding environments. Thus, one concern that is the change of environments affects multiple modules at runtime. To fulfill the features, we consider Context-Oriented Programming (COP) is the first chose. COP can change the behavior of multiple modules at once during the runtime. In COP, we can represent a cross-cutting concern as a layer. On the other hand, COP contains more compounded scopes than the scopes of Object-Oriented Programming because of the layers. In this context, we have considered we should construct a testing and simulation system based on a formal method, and we have focused on Colored Petri Nets (CPN) as one of the formal methods. CPN is able to model the variable on the compounded scopes by the colors. In CPN, the colors are types of the tokens that hold values. Furthermore, CPN can simulate runtime behavior because it can create and delete tokens. In previous works, we adopted an idea of COP and CPN to build a modeling method, a testable framework and a simulator for IoT system developments. However, we have never mentioned how to generate test cases from environmental modeling through CPN. In this presentation, we discuss the test case generation method for developing IoT systems.

CA2001 14:30-14:45

The exploitation of Information and Communication Technology (ICT) in optimisation of Public Transportation Systems (PTS): Productivity and Performance

Enhancement Methods Koorosh Gharehbaghi and Kathryn Robson

Presenter: Kathryn Robson RMIT University, Australia

Abstract-The aim of this paper is to investigate the application of Information and Communication Technology (ICT) in optimization of Public Transportation Systems. In doing so, this will be will ultimately develop a number of Public Transportation Systems (PTS) enhancement methods to further improve the productivity and performance of such assets. Systematically, while ICT includes all the types of communication devices and systems, PTS can be defined as specific systems that are used to transport the public and are owned by governments. Although, some PTS may be operated by private contracts, generally their assets such as trains, buses and so on, belong to governments. Nevertheless, such infrastructure requires comprehensive and effective ICT to ensure that it operates efficiently. Although, the use of ICT for such assets has many advantages such as reduced incident response time, it also possesses disadvantages including increased costs. Accordingly, to further understand and balance such issues, Sydney Metro will be examined as the basis of a case study.


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CA3015 14:45-15:00

Case Study: Facility Management System Application Using Internet of Things Jaeeun Seo, Narae Jeong, Jaejoon Kim

Presenter: Jaejoon Kim Daegu University, South Korea

Abstract: The purpose of this study is to solve problems of the modern society which are damaged or lost due to the immoral behavior of public facilities. By integrating Internet of Things (IoT) technology into the door lock system, the system can be implemented as a smart facility management system - complemented with the currently existing analogue facility management system. The implemented system consists of H/W and S/W part. For the H/W part, we used WiFi module attached to an Arduino in order to connect digital door lock. The Web server and WiFi module are composed of an Apache server and PHP. These parts can communicate with each other through the smartphone application (APP). By doing this, the user can reserve the facility by using the application. Since this system can manage members based on subscriptions and can control door lock only through application, it is more secure than other door lock control systems and thus minimizes loss and damage of public equipment.

CA3019 15:00-15:15

Software-Defined Networking Application with Deep Deterministic Policy Gradient Joseph Nathanael Witanto and Hyotaek Lim

Presenter: Hyotaek Lim Dongseo University, South Korea

Abstract: Software-Defined Networking (SDN) simplifies hardware-centric network architecture by employing forwarding devices (switches), SDN controller, and SDN applications. Depending on the SDN application that manages the controller, controller can turn a switch to act as a switch, router, firewall, etc. SDN also enables switch to access more network information through controller. Our proposed SDN application consists of traffic monitoring module and routing module to optimize the network. Traffic monitoring module will monitor switches’ port utilization and routing module uses deep reinforcement learning agent trained with deep deterministic policy gradient to manage switch forwarding. Relevant flow entries are issued to OpenFlow switches to manage switch forwarding. Agent changes the routing according to the switches’ port utilization and learn the best routing to minimize packet loss. The proposed method will be implemented and evaluated in the future work using Mininet to emulate data layer (hosts, switches) and open source SDN controller Ryu.

CA1012 15:15-15:30

Communication Software Execution Model of a WSN Device for More Accurate Simulation in ns-3

Espen Volnes, Stein Kristiansen, Thomas Peter Plagemann Presenter: Espen Volnes

University of Oslo, Norway

Abstract- Emerging infrastructure-less network architectures such as WSNs consist of


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devices that perform packet processing in software. General purpose network simulators do currently not possess models to simulate the intra-node delay of such devices. A TelosB mote with TinyOS spends seven and fifteen ms on processing packets of size 36 and 124 bytes. Failing to simulate this leads to an inaccurate simulation of packet loss, jitter, and latency. In this work, we create a communication software execution model of TelosB that accounts for its temporal behavior for more accurate WSN simulations in the ns-3 simulator. A challenge in doing so is to create a tracing framework for TinyOS that can be used to accurately and reliably trace its behavior. The evaluation of our model shows that it is scalable and accurate; the simulated intra-OS delay deviates at most 5% from the intra-OS delay in the real mote. Moreover, the real mote and our model both start to drop packets at 65kbps (124 bytes packets), while the original ns-3 model starts dropping packets at 101kbps. This 36% decrease in forwarding capacity demonstrates that our model enables significantly more accurate simulations.

Coffee Break <15:30---15:45>

Session IV - Data Science and Electronic Information Technology January 17

Time: 15:45-18:00

Meeting Room 1

Chair: Meng-Shiuan Pan, Tamkang University, Taiwan

CA1018 15:45-16:00

Are you a Good Driver? A Data-driven Approach to Estimate Driving Style Ivan Silva Feraud, Jose Eugenio Naranjo

Presenter: Ivan Silva Feraud Universidad Politécnica de Madrid, Universidad de Especilidades Espíritu Santo

(UEES), Spain Abstract-In recent years, the study of aggressive driving behavior has reached interest due to its correlation with traffic accidents. Traffic accidents are considered the third cause of deaths in the United States. Prior research has reported the possibility to estimate aggressive driving style using in-vehicle data (e.g., acceleration, speeding, lane changes, among others). However, traffic violations have not yet been considered in the analysis of aggressive driving style. This paper proposes a model to estimate driver’s aggressive driving style by considering aggressive events from in-vehicle data, and traffic violations data using a fuzzy logic model. In-vehicle data and GPS data from twenty-five drivers in different routes were collected, to generate a fuzzy logic model that captures aggressive events and traffic violations. We validate these results by comparing the results between the fuzzy logic model and human experts scores, showing an accuracy of 0.84 and a


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recall of 0.8974. Future work should consider to revise the rules and membership values to improve misclassification errors.

CA1044 16:00-16:15

Critical Analysis of Computer-based Evacuation Simulation of an Educational Institution

Shakeel Ahmed, Saqib Mehmood and Anders Schmidt Kristensen Presenter: Shakeel Ahmed

Aalborg University, Denmark

Abstract- In this paper, we describe the formatting guidelines for ACM SIG Proceedings. Required safe egress time (RSET) plays a key role in saving lives when imminent emergencies struck to occupants in any confined space. Therefore, critically analyzing and assessing emergency preparedness of crowded places through full-scale drills and evacuations simulations is crucial to safety management. This paper critically analyzes the evacuation process of a public educational and research institution of Aalborg University Esbjerg (AAU Esbjerg), Denmark. The nature of daily curricular and extracurricular activities of the university campus makes it vulnerable to fire incidents. The evacuation process is modeled and simulated in an agent-based computer evacuation simulation Pathfinder. It is evident from the results of simulation that computer based modelling of evacuation process is efficient tool of assessment of critical egress parameters such as velocity of occupants, impact of exit choice leading to muster point, occupant’s density and occupancy capacity of floors etc. Moreover, pathfinder simulation identifies the hazards and risks of clogging and trampling of occupants in case of an emergency, thereby, improving the overall emergency management plan of the campus.

CA1007 16:15-16:30

Genogram Visualization Using Social Network Approach for Medical Family Tree Siti Fatimah Bokhare, Wan Mohd Nazmee Wan Zainon and Abdullah Zawawi Talib

Presenter: Wan Mohd Nazmee Wan Zainon Universiti Sains Malaysia, Malaysia

Abstract- Genogram is a graphical representation of a family tree. It can also be used to track and provide some information about family medical history and relationships, which allow user to understand the general and complex information of their family for generation. However, some limitations do exist while using genogram, namely scalability problems while visualizing the wealth and complex information once the family tree gets bigger. In this paper, we present an approach to visualize these type of data using social network visualization approach. Results shows that the prototype tool, which employ the social action approach, does improve user understanding of medical family tree in terms of usefulness and on ease of use. It is hope that this approach can help user especially healthcare professionals to understand medical family tree data..

CA1053 16:30-16:45

Determining the Regional Job-House Balance Ratio Based on Congestion Factor and Centrality


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S.W.M.P. Senevirathne and P.C.P. De Silva Presenter: Chameera De Silva

University of Moratuwa, Sri Lanka Abstract- It is accepted in urban and regional planning that a proper distribution of land use zoning will be able to optimize the Vehicle Miles Travelled (VMT) to reduce the transportation-related energy consumption and congestion. One of the strategic approaches of integrating transport and urban planning is introducing an optimized ratio for administrative level job-house combinations. The objective of this research is to develop a computer-aided mechanism to assist the determination of development zoning regulations based on the job-house combination in a regional context. The R programming platform is used to develop the automated tool. The data required for the analysis are road network details, trip generation and trip attraction details at each Traffic Analysis Zone (TAZ). The gravity model is used to carry out the trip distribution and it is assigned to the road network using the graph theory. The centrality values are used to estimate the potential trip attraction levels. The main assumption undertaken in the study is that the trip generation occurred by a group of population in a particular TAZ is considered as work based trips. The result of the method for Colombo district, Sri Lanka indicated that the job-house ratio varies from 0.1 to 9.2 resulting in an average trip length of 23 km from houses to work locations. Finally, the method suggested a minimum and maximum value of 0.5 and 4, which reduced the VMT from 46% and average fuel consumption by 22%.

CA1076 16:45-17:00

Implementation of a CG-Based Simulator to Evaluate Dynamic Relocation of UAVs for Image-Assisted Routing

Ryusuke Miyamoto, Yuta Migitam, Shunya Izumo, Shingo Kobayashi, Takuro Oki, Hiroyuki Yomo and Shinsuke Hara

Presenter: Yuta Migitam Meiji University, Japan

Abstract-The authors are trying to construct a real-time vital sensing system during exercise based on image-assisted routing. In order to estimate locations of target exercisers based on image processing required for multi-hop networking, robust personal identification is indispensable because visual target tracking executed after detection sometimes fails in practical scenes. To solve this problem, dynamic relocation of UAVs to obtain visual cues to identify who is a target is adopted to our system. In this paper, a CG-based simulator that has functions necessary for evaluation of dynamic relocation algorithm of UAVs. Experimental results using a basic scenario show that the implemented simulator works well.

CA3024 17:00-17:15

Utilizing a Wristband to Detect the Quality of a Performed CPR Basel Kikhia, Andrey Boytsov, Alejandro Sanchez Guinea, Andreas Prinz

Presenter: Basel Kikhia University of Agder, Norway


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Abstract: Cardiopulmonary Resuscitation (CPR) is often trained using special manikins that provide feedback. When CPR is performed in out-of-hospital scenarios, the feedback can only come from sensors that are already on the rescuer, such as a smartwatch. This paper proposes and evaluates a method for detecting CPR quality using the sensors available in most smartwatch devices: accelerometers and gyroscope. We collect data of 18 nursing students performing CPR on a CPR manikin while wearing a wristband, and we used the manikin response to create a labeled dataset. Feature engineering includes extraction of vertical acceleration, Fourier analysis of acceleration data, and numerical integration to estimate push amplitude. This paper compares multiple machine learning models on top of the extracted features, with L1-regularized logistic regression producing the best results. The model achieved 90% of cross-validation accuracy and 80% of test set accuracy. Discussion of noise removal in the data provides the path for potential accuracy increase. The results of this work can contribute to the development of CPR feedback applications on smartwatches. This will provide a cheap and accessible solution to guide untrained people when CPR is needed.

CA3004 17:15-17:30

Precise Trajectories Derivation Using Smartphone Sensors Meng-Shiuan Pan and Kuan-Ying Li

Presenter: Meng-Shiuan Pan Tamkang University, Taiwan

Abstract-Recently, researchers have paid attention to track users’ trajectories by their smartphones. Conventionally, current works utilize GPS or Wi-Fi signal to derive users’ locations and keep tracking users’ location changes. However, conventional schemes may not be used in indoor environment or need prior configurations. In this work, we propose to derive users’ trajectories using smartphones’ inertial sensors. The proposed scheme contains three modules, which aim to eliminate noise to sensors and to support unconstraint usage on phones while walking. The evaluation results indicate that the proposed scheme can derive users’ walking trajectories effectively and precisely.

CA1060 17:30-17:45

Comparing the Effectiveness of Multiple Quantitative Trading Strategies Chenkai Zhao

Presenter: Chenkai Zhao University of Jinan, China

Abstract-Investment in stock has drawn worldwide attention from individuals and investment companies. There are many common practices of trading strategies. An easy but effective one is the buy and hold strategy strongly advocated by Warren Buffett, where investigators would buy one or a group of stocks and let time make money. A common strategy for individual investors was by reading the stock chart, based on their personal judgement, which often was not quite different from random guesses due to the lack of information and experience. Another recent strategy is to use machine-learning techniques to predict the stock market. I am interested in investigating which of the above strategies were more effective in


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the current stock market. To gain an up-to-date view, I applied these strategies on 4 different popular stocks and observed their performance for 100 randomly chosen time frame in 2017 and 2018. By evaluating the return and risk of each strategy, my results provide guidance for quantitative trading for general investors. Specifically, if the stock market is stably increasing, the optimal strategy is to use the buy-and-hold strategy. If the stock market is comparatively stable, using a good machine learning strategy is expected to help. Overall, individual investors should devote more efforts in selecting a promising stock or portfolio than focusing too closely on daily price changes.

CA1002 17:45-18:00

Evaluating Distributed Transactional Database System Pengwei Ma, Kai Wei and Chunyu Jiang

Presenter: Pengwei Ma China Academy of Information and Communications Technology, China

Abstract-With the rapid development of mobile Internet and electronic commerce, massive transactional operations under new data modules becomes the dominated workload of the database systems. In order to meet the functional and performance requirements of this kind of business, new distributed transactional databases system evolve fast. However, because of the distinct technical differences between the new distributed transactional database and traditional centralized transactional database, such as technical component architecture and principles of computing and storage, the evaluation framework and method for traditional database cannot directly apply to distributed transactional database. For example, the existing benchmarks can’t evaluate high availability, scalability, and distributed consistency issues which are important characteristics after distribution. It is urgent for the industry to construct evaluation methods for distributed transactional databases so as to comprehensively measure the technical maturity and capability of these products. In this paper, we first summarize the definition and characteristics of distributed transactional database system. After evaluating the existing test benchmarks for distributed transactional database, we propose a new evaluation framework and test methods for distributed transactional database system. This paper provides a new guidance for testing and selecting distributed transactional database in the world.

Session V - Computer Theory and Application Time: 15:45-17:45

Meeting Room 2

Chair: Prof. Wernhuar Tarng, National Tsing Hua University, Taiwan

CA1054 15:45-16:00

Toward a Temporal Environment for Multi-Agent Simulation Tahina Ralitera, Denis Payet, Rémy Courdier


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Presenter: Irène Velontrasina University of Reunion, France

Abstract-The environment plays an important role in multi-agent systems (MASs). Especially in situated MASs, it can be used as a shared memory for agents and as a medium for indirect coordination. There could exist different types of environment, with different structure and containing different types of information. The more choices for environment structures, the broader its application in the field of MASs and the more information they contain can be of different types. The information space has different dimensions, the temporal dimension is an important one. However, in MASs, this temporal dimension is often neglected or plays a subordinate role. This paper shares the idea of exploiting the potential of this long-neglected temporal dimension by introducing the notion of temporal environment. This consists of using the time axis not only for the simulation scheduling, but as an environment where the agents could interact. The temporal environment presented in this paper is based on a particular time scheduling approach called the Temporality Model and on the influence/reaction principle.

CA3009 16:00-16:15

Thai Finger Spelling Localization and Classification under Complex Background Using a YOLO-based Deep Learning

Pisit Nakjai, Patcharee Maneerat and Tatpong Katanyukul Presenter: Pisit Nakjai

Khon Kaen University, Thailand

Abstract- Sign language recognition has been actively studied and remains a challenge in computer vision. The finger spelling is an integral part of a sign language. This study focuses on Thai finger spelling(TFS), especially TFS single hand schema under complex background condition. We proposed a YOLO-based Thai finger spelling(Y-TFS) that used the convolution neural network architecture to localize and classify 25 TFS signs. The experiment on the training dataset of 15,000 images and test dataset of 15,000 images shows that our system has performed well and is robust against various background conditions. For the Thai fingerspelling recognition, our Y-TFS achieved the mAPs of 82.06% under a complex background and 84.99 % under a plain background.

CA3018 16:15-16:30

Parsing Parking Instructions for Self-driving Cars into Spatial Semantic Descriptions Akari Inago, Hiroshi Tsukahara, Ichiro Kobayashi

Presenter: Akari Inago1 & Hiroshi Tsukahara2 1Ochanomizu University, Japan

2Denso IT Laboratory, Inc., Japan Abstract-This study is motivated by an attempt to develop a system that can control a self-driving car by words. To achieve this, the verbal instructions we provide to the car must be grounded onto the real-world phenomena. With this background, in this study, we extend the framework of semantic description clause (SDC) proposed by Kollar et al.


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(2010) by adding two new semantic categories, VIEW and STATE, so as to be able to ground more variety of the instructions for driving a car in real-world environment. We developed a pipeline of a CCG parser, a reranker of parse trees and a converter from parse trees into SDCs. The result of parsing the instructions with the extended CCG grammar shows 84.7% accuracy on 6,019 various Japanese driving instructions. We finally convert the parse trees into SDCs using conversion rules, resulting in 90.4% accuracy on 5,638 parse trees.

CA3033 16:30-16:45

Film Box Office Forecasting Methods Based on Partial Least Squares Regression Model Huike Zhu and Zhongjun Tang

Presenter: Huike Zhu Beijing University of Technology, China

Abstract-Every year, billions of films appear in the box office of the mainland but there is small statistics of sample data for them. There are numerous factors responsible for it e.g. complex, variable box office elements and low accuracy of box office demand forecasting. Whereas, partial least squares regression model has the capability to deal with small sample data and variable multiple correlations. This paper has conducted an empirical analysis by using 13 indexes affecting the movie box office to construct movie box-Office forecast model as well as analyze the principles and the construction steps of the models. The model has utility with respects to process and model accuracy. The empirical results show that the absolute relative error of the partial least squares regression model is 26.6%, the goodness of fit is 87.7%. It shows that the partial least squares model has great skills to demonstrate the prediction of results in accurate and fashioned way.

CA3045 16:45-17:00

The Effects of Learning Styles on Learning Performance of Blockly Programming with Webduino Online Editor

Peng-Chun Lin, Hsin-Ke Lu Presenter: Hsin-Ke Lu

Chinese Culture University, Taiwan

Abstract-Computational Thinking is a significant educational theme in recent years; using programming to develop students’ computational thinking is one of crucial training methods so plenty of colleges and universities have set up related curriculum recently to develop their abilities. In light of technological innovations, IoT is nowadays the major concept and technique for promoting intelligent life and the essential knowledge for college and university students. Consequently, the researcher used the online editor-Webduino Blockly, in which users could use graphical programming methods to control IoT components allowing them to learn IoT knowledge. Moreover, the researcher utilized UTAUT to investigate their technology acceptance of using this tool and used learning style instrument to evaluate their learning performances of different learning styles. The results showed that performance expectancy had significantly affected behavioral intention; behavioral intention and facilitating conditions had significantly affected use behavior. For learning performance, kinesthetic users’ score was significantly higher than auditory users’ score; this


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indicated that using this tool and instructional method could significantly enhance kinesthetic users’ learning performance. This study was merely a pilot study; in the future, the researcher expects to investigate learners of all age groups using Blockly programming tool in order to provide more references for instructors.

CA1055 17:00-17:15

Program Shell of Analysis of One-dimensional and Two-dimensional Problems of Nonlinear Elasticity Theory

Mikhail Karyakin and Artem Zherebko Presenter: Mikhail Karyakin

Southern Federal University, Russia Abstract-Within the framework of the computer algebra system Maple, an interactive program shell for analysis of nonlinear problems of elasticity has been developed. The set of algorithms of automatic generation of boundary-value problems of equilibrium, both in Cartesian as well as in orthogonal curvilinear coordinate systems, was implemented. The integration of numerical tools embedded in the Maple system with resources of the finite-element modeling environment FlexPDE was realized to perform the numerical analysis of nonlinear partial differential equations. Some model problems demonstrating the main abilities of the program shell to solve direct and inverse problems of nonlinear elasticity theory are presented. The developed system allows, in particular, solving the simplest inverse problems of selecting or determining one scalar characteristic (geometric, material or force parameter) of the system under consideration.

CA3048 17:15-17:30

Chaos Behavior in Group Formation Kodai Shinkawa and Isamu Shioya

Presenter: Kodai Shinkawa Hosei University, Japan

Abstract-This paper presents a basic multi-agent model of group formation, whose agents carry feature vectors and meet each other at random in a free moving space. The agents combine to form groups, if their feature vectors are matched or their compatibilities are higher than a certain threshold. Similarly, if the compatibilities of the feature vectors between groups are higher than the threshold not only for agents but also between groups, the two groups are united into one. On the other hand, forming groups reduces a satisfaction of the groups by getting groups larger. This paper shows that, for a given threshold, there is an optimal threshold that maximizes the amount of satisfactions among the groups, while the compatibility keeps the threshold, and it is closely related to the size of feature vectors.

CA1031 17:30-17:45

A Simulation-Based Approach to Assessing Effects of Indirect Interactions on Species Viability in Facing of Environmental Disturbances

Hongchun Qu, Dandan Zhong and Kaidi Zou Presenter: Hongchun Qu

Chongqing University of Posts and Telecommunications, China Abstract-Recent climate change and environmental pollution deliver strong


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disturbance to the food web in which species are interconnected in complicated way. Understanding whether factors such unobservable indirectly interactions among species could play an important role in the maintenance of ecological community is an interesting and critical question. In this paper, we used simulation-based model to theoretically investigate this issue. We found that when indirect interaction applied to co-existing species, big and sudden decline of interacting species would pose strong impact to evolutionary dynamics of the whole system, which might be pushing the system permanently enter other trajectories. Most importantly, this kind of damage is unlikely to be repaired by the system itself. While without indirect interactions, even big and sudden decline in species population is not likely cause irreversible damage to the system. This finding has important implication to environmental conservation where indirect interactions between species cannot be ignored.

Session VI - Biological System Modeling and Calculation January 17

Time: 15:45-17:45

Meeting Room 3

Chair: Assoc. Prof. Kai Qin, Swinburne University of Technology, Australia

CA1029 15:45-16:00

Mathematical Modeling on Competition and Cooperation of Species Using Hill-type Function

Racquel U. Tabornal, Jose Maria L. Escaner IV, Jomar F. Rabajante Presenter: Racquel U. Tabornal

University of the Philippines Visayas Tacloban College, Philippines Abstract-Competition and cooperation play an important role in society. It drives the species to survive and it enables to balance and maintain the biodiversity in communities. These concepts are important in many fields, such as in ethology, economics, ecology, and evolutionary theory. In this paper, we develop a mathematical model that describes the dynamics of the population of a species that simultaneously interact with a competitor and/or with a cooperator. This modeling study uses a Hill-type function rather than the classical Lotka-Volterra equations. Numerical simulations are done on this model. Heat maps are used to describe different cases by varying the competition coefficient δ and cooperation coefficient γ. This enables us to look possibly for ways to control δ and γ, and consequently, control populations in our ecosystem. Our model demonstrates not just coexistence but also exclusion or extinction of the population of species. This means that even if competition and cooperation are done simultaneously, it is not a guarantee that they will always survive in the long run. It still depends on how much is the strength of competition and cooperation they exerted towards its co-competitor or co-cooperator. Moreover, cooperating species are most likely to


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survive as compared to the competing species. This modeling study will be useful not only for biologists and ecologists but also for researchers who are interested in studying the competitive and cooperative interactions of species in societies.

CA1069-A 16:00-16:15

A Numerical Model of Heart-on-a-Chip Systems – A Tool for Cardiotoxicity Screening Åshild Telle, Bérénice Charrez, Kevin Healy, Aslak Tveito and Sam Wall

Presenter: Åshild Telle Simula Research Laboratory, Norway

Abstract- Organ-on-a-chip devices can be used to control and monitor the cellular microenvironment of human microtissues, providing a promising platform for disease and drug development studies. Here we describe a heart-on-a-chip system combining human induced pluripotent stem cell derived cardiomyocytes with microfluidic technology as a cardiotoxicity screening platform (Mathur et al. Sci. Rep. 2015). Within this microphysiological system, image tracking techniques can be used to monitor important indicators of cardiac function, such as contraction velocity, beat rate, and prevalence (Huebsch et al. Tissue Eng. C. 2015). However, mechanical contraction properties such as force and stress are harder to capture. This motivates the need for a numerical model simulating the mechanical behavior of the microtissue, to predict and help monitor the effect of drugs and mutations on the contractility of the tissue. In this study we propose a model for cardiac tissue applied to a geometric representation of the chip system to predict contraction forces and strain. We are using a zero-dimensional point model of cardiac myofilaments developed by Rice et. al. (Biophysical Journal 2008) to calculate the force generated by single myocytes, embedded within a continuum model for the mechanics of ventricular myocardium given by Guccione et. al (ASME 1991). Combined, this give us a system of partial differential equations, which we solve using the finite element method over a given three-dimensional mesh. The parameters in the model are optimized using data from real heart-on-a-chip devices. We evaluated the system for pharmacology studies (as of now, negative and positive inotropes respectively flecainide and isoproterenol) using experimentally measured calcium amplitude transients to predict resulting Cauchy stresses at increasing drug doses. Combining our numerical model for mechanical simulation with experimental heart-on-a-chip data produced comparable dose response results. We observed similar trends for measurements of internal forces of the tissue under isometric conditions. This combined in silico / in vitro analysis system provides the possibility of a robust technique for understanding the physiological complexity of micro-organ function in vitro, facilitating contraction force assessment for drug screening and disease modeling in heart-on-a-chip systems.

CA1052 16:15-16:30

Application of Integrated Model of Evacuation Psychology in an Agent-based Simulation

Saqib Mehmood, Shakeel Ahmed and Anders Schmidt Kristensen Presenter: Saqib Mehmood

Aalborg University, Esbjerg Campus, Denmark


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Abstract-Human behavior under fire is crucial to save lives. Presence at a perilous field and exposure to any imminent threat can trigger sense of staggering panic among a group of occupants that can jeopardize their safe egress. Different individuals react differently due to their distinct physical, cognitive characteristics and nature of different hazardous situations. Therefore, it is hard to predict how a fire incident causing panic in human psychology may trigger trampling and stampede incidents due to clogging and bottlenecks. This paper conducts a survey among students of a university and applies the findings of human behavior based on the survey to build and simulate evacuation process of a scenario using Pathfinder, an agent-based simulation software. This is an innovative research that investigates how well the integrated model of evacuation psychology along with the questionnaire of the survey can be combined and tested in the simulation model. For this purpose, a single hazard scenario of a firebreak out in canteen of a university campus close to an emergency exit door is modelled. The results reveal that the complications of human behavior can be modelled in the simulation except contagion and social bondage. Furthermore, the animated simulation results identify some limitations of simulation software such as an occupant with impairments climbs stairs to egress the building instead of taking an exit route without stairs.

CA3037 16:30-16:45

Clustering of Protein Conformations using Parallelized Dimensionality Reduction Arpita Joshi and Nurit Haspel

Presenter: Arpita Joshi University of Massachusetts, USA

Abstract- Ascertaining the conformational landscape Presenter:of a macromolecule, like protein is indispensable to understanding its characteristics and functions. In this work, an amassment of these techniques are presented, that would be an aid in sampling of these conformations better and faster. The datasets that represent these conformational dynamics of proteins are complex and high dimensional. Therefore, there arises a need for dimensionality reduction methods that best conserve the variance and further the analysis of the data. We present a parallelized version of a well-known dimensionality reduction method, Isomap. Isomap has been shown to produce better results than linear dimensionality reduction in approximating the complex landscape of protein folding. However, the algorithm is compute-intensive for large proteins or a large number of samples, used to model a path that a protein undergoes. We present an algorithm, parallelized using OpenMP, with a speed-up of approximately twice. The results are in agreement with the ones obtained using sequential Isomap.

CA3007-A 16:45-17:00

Machine Learning Approach of Classification of Minimal Joint Disease Phenotype in Knee Osteoarthritis of knee osteoarthritis using Hip-knee cyclogram

Seongho Jang, sunghee Lee, Shi-Uk Lee and Si-Bog Park


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Presenter: Seongho Jang Hanyang University, Republic of Korea

Abstract-Knee osteoarthritis(OA) has a heterogeneous pathology and is caused by various causes. Also, prognosis of the disease is also known to be different. Therefore, there have been several attempts to distinguish different phenotypes of osteoarthritis of the knee such as minimal joint disease (MJD), chronic pain, inflammatory, metabolic syndrome, bone and cartilage and malaigned biomechanical phenotype. Among these phenotypes, MJD represent a subgroup with low to mild symptomatology with intact stability over time and is associated with minor health care needs. Clinical classification of MJD has recently been proposed. However qualitative method to classify MJD phenotype is not well established. Now we investigated the possibility of classifying MJD by gait analysis through hip-knee cyclogram(H-K cyclogram) and which factors would contribute the classification of MJD. Finally, we expect to understand walking characteristics of MJD.

CA1045-A 17:00-17:15

Numerical Transfer Path modeling Using Independent Component Analysis Un-Chang Jeong

Presenter: Un-Chang Jeong Honam Univ. Dept. Automotive Engineering, South Korea

Abstract- Recently, there has been growing consumer’s needs about reducing Noise and Vibration. Identification and reduction of Noise and Vibration sources using Transfer Path Analysis mainly uses correlation techniques. However, it is difficult to identify the Noise and Vibration sources when they are highly correlated. Because the sources are not only highly correlated but also independent of each other, it may not be possible to identify the independent sources using correlation techniques. Independent Component Analysis is a computation method for separating a signal into additive subcomponents. Thus, using Independent Component Analysis can separate independent components of Noise and Vibration sources, unlike the correlation technique. In this study, numerical analysis of Independent Component Analysis in 3 degrees of freedom system is conducted and the result of it is compared with that of correlation technique.

CA1061-A 17:15-17:30

Additional Food Provided Delayed Predator-Prey Systems Involving Holling Type III Response

Vamsi DKK and Bishal Chhetri Presenter: Krishna Kiran Vamsi Dasu

SRI SATHYA SAI INSTITUTE OF HIGHER LEARNING, India Abstract-In this work we consider a gestation induced delayed predator-prey system involving Holling type III response with habitat complexity and study the consequences of provision of additional food to predator. We observe that the quality and quantity of additional food provided play a crucial role in the growth of predators and thereby influence the eventual state of the ecosystem. With time delay as bifurcation parameter we study the qualitative behavior of equilibria. We observe that the


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considered system undergoes Hopf bifurcation when the delay crosses a critical value. This critical value depends on the quality and quantity of additional food provided. We observe that the population can be steered to a desired level either by supplying additional food of appropriate choice or by changing the degree of habitat complexity. Finally, we do numerical simulations and discuss the biological implications of the analytical findings.

CA1049 17:30-17:45

A Physiological Models for Burn Injury and Resuscitation George C. Kramer, Chris Meador, Jose Salinas, Ghazal Arabi Darreh Dor, Ali Tivay,

Ramin Bighamian, Jin-Oh Hahn Presenter: George C. Kramer

UTMB,USA Abstract-A 1st-principles-inspired physiological model was developed that can predict the redistribution of fluid and albumin in the patient after thermal injury. The key components of the model include volume kinetics, renal function, and burn-induced perturbations in circulatory physiology. The model was developed in such a way that it can be fully characterized by the patient weight, height, and total burn surface area (TBSA) as well as a small set of model parameters to be individualized to predict the patient’ s response to thermal injury and resuscitation. Based on the underlying physics and constraints of organs, new mathematical functions were developed to describe the renal function and lymph return. A novel approach was employed to implement the effect of burn on the pertinent physiology of patients’ body. The model was identified and tested using two groups of sheep undergoing burn injury and resuscitation. The results suggested that the model can boast acceptable accuracy in reproducing experimentally observed plasma volume and urinary output despite its simplicity. Such a model, after meeting the requirements on accuracy and physiological credibility, may facilitate the validation and testing of burn resuscitation protocols and closed-loop decision support systems.

Session VII - Electromechanical Design and Modeling January 18

Time: 09:00-11:15

Meeting Room 3

Chair: Prof. William Guo, Central Queensland University, Australia

CA1046 09:00-09:15

Development Suitability Analysis of Frequently Flood Affected Areas in Sri Lanka – a Case Study in Rathnapura Municipal Council Area

Chathurika Jayasekara, Wathsala Gunawardena and R.A.T. Kapila Ranasinghe Presenter: R.A.T. Kapila Ranasinghe University of Moratuwa, Sri Lanka


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Abstract- Flood is a natural phenomenon which is difficult to avoid but can control. Flood hazard tends to escalate into disaster, especially in urban areas, due to the high concentration of population. Therefore, flood mitigation measures have become one of the main discussing point in the society. Nowadays there has been a significant move from flood protection to flood risk management [5]. Spatial planning has been identified as one of the fundamental flood management measures, since it can influence the incidence of flooding and its consequential damage, by regulating the locations of activities, types of land use, and scales of development and designs of physical structures [8]. In order to develop such a successful spatial plan, it is important to identify the suitability of the land for the development. However, adequate attention is not still paid to develop a proper mechanism for evaluating this development suitability. The main objective of this research is to analyze the development suitability of the lands, considering both Emergency Evacuation Easiness and the flood risk level of the land. This analysis will be useful to develop a set of guidelines for the future development activities. The research has used the Geographical Information System based approach to model the development suitability of the lands. Two main aspects were assessed in this regard: flood risk level and emergency evacuation easiness. It was assessed by taking the Rathnapura MC as the case study area and the uncertain event as the flood disaster.

CA1072 09:15-09:30

Agent-Based Simulation of Emergency Response of Urban Oil and Gas Pipeline Leakage

Jing Han, Jian Liu and Haokun Lei Presenter: Jing Han

University of Science & Technology Beijing, China Abstract-With the progress of urbanization, there are many phenomena of staggering between oil and gas pipelines and municipal pipeline networks, which increase the accidents that serious casualties caused by pipeline failure. Combined with the accident experience, many cities have reformed underground pipelines and adopted stricter management regulations. But, in some cities, underground pipelines still have great potential risks of leakage. Therefore, how to effectively on the pipeline leakage accident emergency is an urgent problem to be solved. The research object of this paper is the emergency response management of pipeline leakage and explosion accident in Qingdao, China. A multi-agent simulation model is constructed by Anylogic software, and the parameters of the failure link and the personnel protection link in the emergency disposal process are adjusted. The effectiveness of the emergency disposal scheme obtained by adjusting the parameters is verified, and the construction method of emergency response model for urban oil and gas pipeline leakage accident based on multi-agent model simulation is proposed, which is helpful to improve the emergency response effect of urban oil and gas pipeline leakage accident.


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CA1065 09:30-09:45

Compliance Matrix Based Analysis and Design of Suspension Systems for Chassis Development

Stefan Buechner, Markus Lienkamp Presenter: Stefan Buechner

Institute of Automotive Technology, Technical University of Munich, Germany Abstract-In the chassis development process, especially for suspension design, simulation has established to reduce both development time and costs. A number of characteristic values are used to characterize and benchmark suspension systems. For front suspension systems, the steering axis plays a vital role. However, two different kinds of steering axes with different meanings exist in literature. This paper presents a methodology for the analysis and design of suspension systems based on the compliance matrix within multi-body simulation. Characteristic values describing both steering feedback and toe behavior are each calculated from the compliance matrix. The characteristic values result from the kinematic and the elastic steering axis. The objective is to provide a comparison of both kinds of steering axes and the resulting characteristic values. The results demonstrate the different meanings of the steering axes and the corresponding characteristic values for suspension characteristics. While the kinematic steering axis defines the lever arms referring to steering feedback, the elastic steering axis is related to the toe behavior. The proposed methodology and the gained insights can be used to improve benchmarking suspension systems and further enhance suspension design.

CA1063 09:45-10:00

Operation Parameters and Structural Optimization of a One-way Spiral Casting Roller

Zhang Huawei, Yin Shugui, Liang Lanzhi, Chen Qiyu, Zhang Chunhua, Christian Beinert

Presenter: Zhang Huawei Guangdong Institute of Intelligent Manufacturing, China

Abstract-In this paper, the operation parameters of a one-way spiral flow casting roller were simulated. Varies optimization proposals on the casting roller were brought out mainly focusing on the inlet and outlet cavities. Both the inlet pressure and drum rotational speed was found having direct influence on water delivery capacity. The water delivering capacity was increased when the inlet pressure was rising without varying the total pressure loss of the system. The water delivery capacity of the system was dropped after the initial growth with the increasing drum rotation speed. Study on operation parameters can provide technical guidance for the actual operation of casting roller. Additional guide vanes in the water inlet and outlet cavities were designed to improve the capacity of water delivery. The total pressure loss of optimized structure was reduced by 10%. The total water supply and pressure loss


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of the new designs were better than those of the current structure under the same conditions. Adding the vanes in outlet cavity was found having the most outstanding effect. In actual operation, the water supply pressure and the drum speed should be comprehensively determined to make the system more energy efficient.

CA1017 10:00-10:15

An Agent-based Simulation Model for Operations in an Automatic Container Terminal with DTQC/AGV/ARMG

Qiankai Cao, Guolei Tang and Ningning Li Presenter: Qiankai Cao

Dalian University of Technology, China Abstract-Double trolley quayside container cranes (DTQCs), automatic guided vehicles (AGVs) and automatic rail mounted gantry cranes (ARMGs) are widely used in automatic container terminals (ACTs) in China. To support the design and management of ACTs, we propose a 3D simulation model to simulate the discharging and loading operation based on agent-based simulation and microscopic traffic simulation on the AnyLogic software. Finally, we apply the proposed simulation model in a real case to certify that this model can provide decision support for the design and management of ACTs with DTQC/AGV/ARMG.

CA1068 10:15-10:30

Modelling the Effect of Moisture Content and Wind Environment on Fire Spread on a Fuel Bed Based on Large Eddy Simulation

Yubiao Huang, Jia Gui, Xiaodong Zhou, Bei Cao, Yuan Zheng, Kai Ye, Xiaoyu Ju, Yong Ni and Lizhong Yang

Presenter: Yubiao Huang University of Science and Technology of China, China

Abstract-This work is to study the effect of moisture content and wind environment on fire propagation process. A complex pyrolysis model was established based on Large Eddy Simulation. The simulations were conducted in a wind tunnel. The heat release rate, the mass loss and the flame shape were studied. It is found that moisture can result in a low heat release rate, mass loss rate and fire spread rate. And the wind environment can accelerate the fire propagation speed dramatically. The effect of the moisture on fire propagation would decrease step by step when the wind velocity is large enough. And the flame dimension is also affected by both factors significantly.

CA1064 10:30-10:45

Numerical Simulation of Heat Transfers During Thermal Sterilization of a Liquid Model

Ahmad Shawaqfeh, Ghani Albaali and Suhad Sameer Presenter: Ahmad Shawaqfeh

Princess Sumaya Universiy for Technology, Jordan Abstract-The temperature and velocity contours are studied and presented for a can full of with a liquid model food during thermal sterilization. The Navier Stocks


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equations for continuity, energy, and momentum in the directions of r and z, are solved by the use of a powerful computational fluid dynamic code PHOENICS. The influence of natural convection during this process is also analyzed and studied. The simulation is performed on can positioned in a vertical position and heated from all directions by a saturated steam with a temperature of 121oC, which is used as a heating surrounding. The simulation results presented the formation of lowest heating area and for different heating periods. The secondary flow formation is also showed in this simulation which has been proven affected on the position and shape of lowest heating area.

CA1032 10:30-11:00

Finite Element Analysis on Turbulent Flow Over Two Side-by-Side Rotating Cylinders Sumon Saha, Md. Ibrahim Khalil, Shoaib Anwar

Presenter: Sumon Saha Bangladesh University of Engineering and Technology (BUET), Bangladesh

Abstract-A numerical investigation has been performed for fully-developed turbulent flow over two side-by-side circular cylinders of the same diameter, both of which rotate in the same direction with the same speed. The governing equation consists of Reynolds-Average Navier-Stokes (RANS) equations along with SST (Shear Stress Transport) turbulence model, which are solved using finite element method in order to evaluate the characteristics of the turbulent flow. To maintain the turbulent flow over the cylinders, computation is carried out at a high Reynolds number of Re = 10000. Parametric simulation is performed for various spin ratios (α = Uθ/U∞, where Uθ is the circumferential velocity of the cylinder and U∞ is the free stream velocity of the fluid) from 0 to 1, and gap ratios (T/D, where T is the transverse distance between the centers of two cylinders) from 2 to 4. Effects of two different rotating combinations of the cylinders (clockwise or counter-clockwise) on the aerodynamic characteristics of the fluid flow are examined in terms of lift (CL) and drag (CD) coefficients. The wake region behind the rotating cylinders and the separation points over the cylinders are also visualized via streamline and contour plots of pressure field around the cylinders. Simulation results reveal that the direction of the rotation of the cylinders strongly affects the streamlines and the vortex shedding when the spacing between the cylinders is small.

CA1013 11:00-11:15

Simulation Study on Fuzzy State Variable-MPC of Coal-Fired Power Plants Xiaoming Li, Junfeng Fu and Hong Cao

Presenter: Xiaoming Li Northeast Electric Power University, China

Abstract-This paper investigates a simulation study on fuzzy state variable-model predictive control (MPC) of coal-fired power plants. Firstly, a fuzzy technology is used to approximate the nonlinear model of a boiler-turbine unit. Then, a state feedback controller is employed to enhance the dynamic performance of the unit. Finally, based on the obtained fuzzy augment model by considering the state


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feedback controller itself, a MPC controller is introduced to achieve the tracking control of load instruction and the reference value of throttle pressure generated by a sliding pressure curve. Simulations on a 330MW drum boiler unit show the effectiveness of the control strategy.

Poster Session January 18

Time: 09:00-11:15

Meeting Room 3

CA3030

Developing Decision Support Systems for Multiple Knowledge Domains: A Proposed Solution

Ninh T.U. Ho1, Luke Mirowski2, Joel Scanlan1 1Discipline of ICT, University of Tasmania, Sandy Bay campus, Australia

2Australian Forestry Operations Research Alliance (AFORA), University of the Sunshine Coast, Australia

Abstract-With the emergence of the Internet of Things (IoT), there has been an exponential growth in the number of sensors and the data streams they produce. This sensor data is being used in a wide range of primary industries in Australia to enable smarter decisions at many levels of production. This data is only useful if it is accessible to decision makers in a timely manner. This paper examines how a framework that is applicable across multiple domains can be developed to enable rapid development of decision support tools. This aims to avoid development duplication and enable businesses to save time and money. The framework is aimed at rapidly producing Decision Support Systems (DSS) that can aggregate heterogeneous data streams into a single flexible architecture and visualize the data in a way that assists experts to make decisions.

CA1021

Smart Scheduler for CUDA Programming in Heterogeneous CPU/GPU Environment Naajil Aamir Khan, Muhammad Bilal Latif, Nida Pervaiz, Mubashir Baig, Hasina

Khatoon, Mirza Zaeem Baig, and Atika Burney Shaheed Zulfikar Ali Bhutto Institute of Science & Technology, Dubai

Abstract-The demand for high performance has driven the technology to grow exponentially requiring the computer systems to work as effectively as possible for a valuable output. Substantial innovation in technology with time has made the use of GPUs working together with CPUs in order to make the system more efficient in


46

performing computations optimally. This paper presents design of a scheduler for heterogeneous CUDA environment which ensures that while the task is fetched into the system, all the nodes participate fully in scheduling, thereby completing the task in less span of time as compared to normal schedulers resulting in efficient results. Tasks have been divided amongst the computing nodes according to the availability of the nodes giving maximum possible throughput of the system according to the workload. The scheduler has the potential of running the GPU code in parallel on different computing nodes within the High Performance Computing environment improving the overall performance of the applications. As a result, it turned out that the Smart scheduler gives better throughput in comparison to SLURM’s existing schedulers which indicates that there was a room in SLURM’s existing schedulers to increase the number of jobs within less span of time. The overall improvement in the throughput was observed to be up to 70 percent which is also shown in Figure 4.

CA1008

Are you a Good Driver? A Data-driven Approach to Estimate Driving Style Ivan Silva Feraud, Jose Eugenio Naranjo

Ivan Silva Feraud Universidad Politécnica de Madrid, Universidad de Especilidades Espíritu Santo

(UEES), Spain Abstract-This study aims to determine the requirements for knowledge sharing systems (KSS) in academic institutions (AI). Using a mixed methods approach, the study proposes a knowledge sharing system requirement framework (KSSRF) which could be used as a guide for AIs to develop their KSS. The requirements framework was developed after studying the knowledge sharing behavior (KSB) of academician end users in a public AI. Both quantitative and qualitative analyses were used to extract and describe findings. The research contributes to the KSS field through the development of a KSSRF which draws upon both quantitative and qualitative findings. AI administrators could employ the proposed framework as a guide for KS activities among academicians in their own institutions.

CA2004

The Maneuvering Motion Mode Identification and Analysis of Unmanned Surface Vehicle

Tianyu Ma, Songlin Yang and Shuai Wang China Ship Research Academy, China

Abstract -In this paper, the unmanned surface vehicle (USV) turning test and zig-zag test are performed and the test data are acquired. The identification mathematical model of the turning and zig-zag test has been established respectively, which has been connected with optimization algorithms including roulette genetic algorithm and growth mechanism genetic algorithm. Optimal identification results are achieved by means of the identification computation. The fitting turning diameter formula and the fitting turning index and the rudder index formula are obtained conclusively, which can provide reference for the investigation of the maneuvering motion mode of USV.

SOCIAL EVENT Melbourne, Australia | January 16-19, 2019

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* Please arrive at Jasper Hotel before 8:30 a.m.

* The following schedule is only for participants who registered the social event.

* The following places are for references, and the final schedule should be adjusted to the actual notice.

* Since we need to prepare the social event in advance, if you are interested in social event please connect with

conference secretary at your earliest convenience.

Federation Square is a venue for arts,

culture and public events on the edge of

the CBD of Melbourne. It covers an area of

3.2 ha (7.9 acres) at the intersection of

Flinders Street and Swanston Street built

above busy railway lines and across the

road from Flinders Street station. It

incorporates major cultural institutions such as the Ian Potter Centre and ACMI and Koorie

Heritage Trust as well as cafes and bars in a series of buildings centred around a large paved square, and a glass walled atrium. The corner is occupied by a glass walled pavilion that provides

access to the underground Melbourne Visitor Centre.

The National Gallery of Victoria,

popularly known as the NGV, is an art

museum in Melbourne, Victoria, Australia.

Founded in 1861, it is Australia's oldest,

largest and most visited art museum. The

NGV houses an encyclopedic art collection

across two sites: NGV International,

located on St Kilda Road in the Melbourne Arts Precinct of Southbank, and the Ian Potter Centre:

NGV Australia, located nearby at Federation Square. The NGV International building, designed by

Sir Roy Grounds, opened in 1968, and was redeveloped by Mario Bellini before reopening in 2003.

It houses the gallery's international art collection and is on the Victorian Heritage Register.

Designed by Lab Architecture Studio, the Ian Potter Centre opened in 2002 and houses the

gallery's Australian art collection.

St Paul's Cathedral is an Anglican cathedral in

Melbourne, Victoria, Australia. It is the

cathedral church of the Diocese of Melbourne

and the seat of the Archbishop of Melbourne,

who is also the metropolitical archbishop of

the Province of Victoria and, since 28 June

2014, the present seat of the Primate of

SOCIAL EVENT Melbourne, Australia | January 16-19, 2019

48

Australia. The cathedral was designed by major English Gothic Revival architect William

Butterfield and completed in 1891, except for the spires, which were built to a different design

between 1926–32, and is one of Melbourne's major architectural landmarks.

Royal Botanic Gardens Victoria are botanic

gardens across two sites - Melbourne and

Cranbourne. Melbourne Gardens was

founded in 1846 when land was reserved on

the south side of the Yarra River for a new

botanic garden. It extends across 36 hectares

(89 acres) that slope to the river with trees,

garden beds, lakes and lawns. It displays

almost 50,000 individual plants representing

8,500 different species. These are displayed

in 30 living plant collections. Cranbourne Gardens was established in 1970 when land was

acquired by the Gardens on Melbourne’s south-eastern urban fringe for the purpose of

establishing a garden dedicated to Australian plants. A generally wild site which is significant for

biodiversity conservation, it opened to the public in 1989. Royal Botanic Gardens Victoria is home

to the State Botanical Collection which is housed in the National Herbarium of Victoria, including

1.5 million preserved plants, algae and fungi, and Australia’s most comprehensive botanical

library.

Sea Life Melbourne Aquarium is a Southern

Ocean and Antarctic aquarium in central

Melbourne, Australia. It is located on the

banks of the Yarra River beside and under

the Flinders Street Viaduct and the King

Street Bridge. The attraction is a Sea Life

Centre owned by Merlin Entertainments.

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