IEEE Conference record number: #44479
8th International Conference on
Intelligent Systems, Modelling and Simulation
Kuala Lumpur, 8 - 10 May 2018
Pacific Regency hotel, Kuala Lumpur, Malaysia
One Parallel day in Bangkok: papers published in IJSSST Journal direct!
View ISMS2014 papers in IJSSST online Digital Library, use Internet Explorer only to access full papers files
View ISMS2015 papers in the IJSSST Digital Library, use Internet Explorer only to access full papers files
Submission: see above
Starts: see above
Final Upload into EDAS for checking &
Credit Card on EDAS
to CPS server & copyright form:
see email from EDAS
Assoc. Prof Zuwairie Ibrahim, UMP
Dr Athanasios Pantelous
University of Liverpool
Honorary Programme Chairs:
Dr Adam Brentnall, Queen Mary, London University
Dr Alessandra Orsoni
Mohd Ibrahim Shapiai, UTM
Prof Ismail Saad, UMS
Dr Pichaya Tandaya, PSU
Prof Borhanuddin Mohd Bin Ali, UPM
Prof Mahamod Ismail UKM
Prof Philip Sallis, AUT
Prof Rosni Abdullah, USM
Prof Paulus Rihardjo, UNPAR
Prof Rosalam Sarbatly, UMS
DEADLINE: 15 March 2018 (EDAS stays open for few more days after this for late papers).
Use template below to format your paper:
Then submit it through EDAS: http://edas.info (kindly ignore all pdf formatting error messages from EDAS, our editors will check it and tell you exactly how to repair it, no need to repeatedly re-upload your paper to EDAS)
Conference Venue is:
Jalan Punchak, Off Jalan P. Ramlee (Opposite KL Tower), KLCC, Kuala Lumpur, Malaysia 5025.
Papers are invited on any aspect of intelligent systems, modelling and simulation to be presented at ISMS2018. Accepted papers will be published in a CD by IEEE Conference Publishing Services (CPS) and later submitted for inclusion in IEEE Computer Society's Digital Library (CSDL) and IEEE-Xplore. Authors of selected papers will be invited to submit an extended version (up to 20 pages, one extra page minimum on the conference paper and different title) submitted for publication in the International Journal of Simulation: Systems, Science & Technology, IJSSST (http://ijssst.info). The event provides authors with an outstanding opportunity for networking and presenting their work at a top quality international conference.
- Intelligent Systems
- Hybrid Intelligent Systems
- Soft Computing and Hybrid Soft Computing
- Computational Intelligence
- Systems Intelligence
- Intelligence Systems
- Control of Intelligent Systems
- Control Intelligence
- e-Science and e-Systems
- Robotics, Cybernetics, Engineering, Manufacturing and Control
- Methodologies, Tools and Operations Research
- Bio-informatics and Bio-Medical Simulation
- Discrete Event and Real Time Systems
- Image, Speech and Signal Processing
- Industry, Business and Management
- Human Factors and Social Issues
- Energy, Power Generation and Distribution
- Transport, Logistics, Harbour, Shipping and Marine Simulation
- Supply Chain Management
- Virtual Reality, Visualization and Computer Games
- Parallel and Distributed Architectures and Systems
- Internet Modelling, Semantic Web and Ontologies
- Mobile/Ad hoc wireless networks, mobicast, sensor placement, target tracking
- Performance Engineering of Computer & Communication Systems
- Circuits, Sensors and Devices
Suggested topics (other topics are also welcome): Simulation methodology and practice, languages, tools and techniques. Models and modelling tools. Data/object bases. Analytical and statistical tools. Simulators and simulation hardware, training simulators. Integration of simulation with concurrent engineering, integrated design and simulation systems. AI, intelligent systems, agent-based simulation, decision support systems, philosophical issues, analogies, metaphors, knowledge modelling, acquisition and synthesis of new knowledge/models, intelligent/adaptive behaviour, man/machine interaction, control systems. Parallel and distributed simulation, discrete event systems. Artificial neural networks, computational intelligence.
Applications: aerospace; remote sensing; electronic circuits and systems; communication and networks; business; management; finance; economics; leisure, games, war/conflict/rebellion modelling; psychology, cognitive functions, behaviour, emotion, subjectivity; humanities, literature, semantics modelling/dynamics; biology; medicine; public health; energy, power generation and distribution, manufacturing; planning; control; robotics; measurement; monitoring; energy; safety critica1 systems; transportation; structural mechanics and civil engineering, oil and gas; education and training; military.
Exhibitors: manufacturers of software and hardware, publishers, etc., are invited to apply to exhibit their products.
ISMS2018 is organised and sponsored by UK Simulation Society/Asia Modelling and Simulation Section, and Technically-Co-Sponsored by IEEE Malaysia Section, Pending. Patrons, Promoters and supporters of the conference include: University of Malaysia in Pahang, University of Malaysia in Sabah, University of Malaysia, University of Technology Malaysia, Nottingham Trent University, EUROSIM and European Council for Modelling & Simulation.
Submissions must be original, unpublished work containing new and interesting results that demonstrate current research in all areas of intelligent systems, modelling and simulation and their applications in science, technology, business and commerce. Full papers only, 6 pages maximum, are accepted for review.
Submission implies the willingness of at least one of the authors to register and present the paper.
Paper Submission: ISMS2018 is using EDAS for submission, paper processing and registration, authors need to:
- create an account with EDAS by clicking on the link below
- open the list of conferences managed by EDAS & find ISMS2018
- click on Submit button on the right to enter your paper title & abstract
- upload file.
Abdul Rahman Ramli
Wan Hussain Wan Ishak
Borhanuddin Mohd Ali
Carlos Martin Vide
D K Pra
Emelio Jimenez Macias
Er Meng Joo
Ferda Nur Alpaslan
Ford Lumban Gaol
Lim Kian Sheng
Miguel Angel Piera
Mojca Indihar Stemberger
R K Subramanian
Zulkifli Md Yusof
Registration (all figures in US$) Currency Converter
Student Participant (no paper) or Co-Author (No Pack)
Registration BEFORE deadline of 20 March 2018
Registration AFTER deadline of 20 March 2018
Registration: Only one method of payment is available on EDAS:
Credit Card: payment is accepted online and confirmation is instant.
Here is the procedure:
1. go to EDAS at http://edas.info and click on Register yellow tab at the top, a list of conferences will appear
2. Scroll down to conference name (e.g. ISMS2018) line and click on the extreme right green money symbol at the end of this line, a new page will appear
3. click on the extreme right button (Trolley symbol) after USD $595, a new table will immediately appear under a new line Registered, but no paid.
4. Under this table a list of credit card symbols and SWIFT. Click on the credit card symbol.
5. A new page will appear, enter all card details, scroll down to the bottom and click Pay for Registration
6. REMEMBER: NO payment received by the set deadline means your paper will NOT be in the Proceedings.
If you have problems meeting this deadline email
Best wishes and look forward to meeting you at the conference.
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A. If your paper is absent and you still wish to publish it contact the general chair firstname.lastname@example.org
Airline Network: http://www.airline-network.co.uk/
Current Artificial Intelligence Research Status of Global Companies and Top Universities using Neural Networks as Learning Method
Prof. Dr. Dong Hwa Kim
KEC Director and Professor TDTU
Recently, global companies such as Amazon, Google, Facebook, IBM, MS and Top Universities such as MIT, Harvard, McGill, Toronto University and so on have announced initiatives about artificial intelligence techniques due to their increasing influence on the economy and social situation which in turn impact the development of new technologies.
According to the Harvard business review: Many experts are expecting that a big slice of the workforce is about to lose their jobs because of artificial intelligence. Similarly Oxford publicity material predict 47% of jobs could be automated by 2033. Even the near-term outlook has been quite negative. A 2016 report by the OECD predicts 9% of jobs in the 21 countries that make up its membership could be automated. McKinseys report estimates AI-driven job losses at 5% in January 2017. Many researchers predict a net job loss of between 4% and 7% in key business functions by the year 2020 due to AI.
Our research terms will be shorter because of change of ICT and AI. This lecture will deal with current AI research status of global companies and the strongest research group of Universities such as MacGill, Tronto, and other top Universities. We will also explore the importance and principle of AI research and neural network such as deep learning and optimization. Also this lecture will introduce other current AI research topics for SMEs business, researcher, Ph.D students, and Masters courses through many research materials.
Name: Dong Hwa Kim(金東和), Ph.D
Current work: Director of KEC, Professor TDT University,
President: Society of HuCARE, Korea
Cell phone: 82-10-4899-1170.
Ph.D-1: Dept. of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering (K. Hirota Lab.), TIT (Tokyo Institute of Technology, K. Hirota Lab.), Tokyo, Japan.
Ph.D-2: Dept. of Electronics Eng., Ajou University, Korea (Multivariable State Feedback Control of Turbo Generator).
MA: Dept. of Electrical Eng., Graduate School of InHa University (Electrical Material, Plasma based Vacuum Thin Film).
Hallym University: Advanced Program for International Cooperation, Hallym Institute of Advanced International Studies.
Professor, Director of Korean Experts Center Of TDT University, Vietnam.
Dean, Graduate School of Huree University, Mongolia, 2015.
Prof., Dept. of Control Eng., Hanbat National University, March 2, 1993-Feb. 2015.
Honorary Prof. Hanbat National University (Feb 28, 2015- ).
Associate Fellow Researcher, University Malaysia Sabah (Aug. 6, 2014 - Aug. 5, 2016).
Visiting Professor, Mechanical, Optics & Engineering Informatics, Budapest University of Technology and Economic, March 20 - Feb 2013.
EU-FP7 (EU- Framework Program) NCP (ICT) in Korea, April 29, 2011-2015.
Director, KNRF (Korea National Research Foundation), 2006-2008.
Visiting Prof., University of Alberta, Canada, March 1, 1999-March 1, 2000.
Invited Researcher, AECL (Atomic Energy Canada Lab.), Canada, Nov. 1985-Nov.1986.
Korea Atomic Energy Research Institute, Nov. 1977 - March 1993.
Korea-Hungary Joint Work: Aug. 1, 2010-Feb. 28, 2011, Robot Motion Related topics of the ETOCOM Project, Consultation with research staff members and giving related lectures.
President, Daedeok Korea-India Forum, March 1, 2010 - 2015
Vice President, Daedeok Korea-Japan Forum, March 1, 2010 - 2015
Director of Science Culture Research Institute, Korea Science Foundation, Sept. 8, 2006 - Jan. 31, 2008.
Vice-President of the recognition board of the world congress of arts, sciences and communications, IBC, Sept. 1, 2007-2010, UK.
Plenary Invited Speaker (International Conferences)
ICARI2017, Dec. 29-30, 2017, Shanghai, China, New technology and social paradigm in 21C.
ICIEE2017, Feb. 22-24, 2017, Singapore, What we Have to Prepare for the 21 C, 4-Revolution, several keynotes.
Special Invited Lecture (University)
Future Technology as Mega Trend, Invited by the Indian National Science Council, March 15-25, 2016.
Nelson Mandela Univ., Tanzania: Adjustable Technology and Robots, Dec. 26, 2012, Africa.
Over 100 Keynote Lectures at 30 universities worldwide.
Tuning Innovation with Biotechnology (Pan Stanford Publishing, 2017), ISBN 978-981-4745-55-2.
How to educate, July 2017.
Project: Emotion Robot and its Application (KNRF), Sept.1, 2012-Feb. 2015.
Awards: International Einstein Award for Scientific Achievement, 2010.5.4, IBC, UK
Column and Newspaper: New fusion era (March, 2010), Dynamic News, etc.
Challenges for the Internet of Things Development in the Interconnected World
Dr Fawnizu Hussin
Universiti Teknologi Petronas (UTP)
The Internet of Things (IoT) revolution is dramatically altering manufacturing, energy, agriculture, transportation and other industrial sectors of the economy which, together, account for nearly two-thirds of the global gross domestic product (GDP). It will also fundamentally transform how people will work through new interactions between humans and machines. The IoT is a network of physical objects (devices, vehicles, buildings, and other items) that are embedded with electronics, software, sensors, and network connectivity to collect and exchange data. According to a recent report by McKinsey, around 30 billion objects may be connected through IoT by 2020.
The development and adoption of IoT is being driven by multiple factors, including easily available low-cost sensors, increase in bandwidth and processing power, wide-spread usage of smartphones, availability of big data analysis tools, and scalability of internet protocol version 6. In order to ensure that the scalability, performance, and security of IoT applications are up to the mark, it has become crucial for todays IoT chips to use a range of new solutions during the design stage to ensure robustness of manufacturing test, field reliability, and security.
Design-for-test engineers need to use new test and reliability solutions to enable power reductions during test, concurrent test, isolated debug and diagnosis and in-field test. This talk will touch on the key trends and challenges of IoT and will also cover solutions to handle the wide range of potential robustness challenges during all periods of the IoT lifecycle from design to post silicon bring-up, volume production, and in-system operation.
Fawnizu Azmadi Hussin is currently the Director of Strategic Alliance at Universiti Teknologi Petronas (UTP). He spent one year as a Visiting Professor at Intel Microelectronics (Malaysia)s System-on-Chip DFx Department in 2012-2013 where he worked on low power built-in-self-test approaches for a mobile microprocessor. He obtained the Bachelor of Electrical Engineering from the University of Minnesota (1999), M.Eng.Sc. from the University of New South Wales (2001), and his PhD at the Nara Institute of Science and Technology in Japan (2008). His PhD thesis was on core-based testing of system-on-chips (SOC) and network-on-chips (NOC), which won an award at the ASP-DAC 2008 Student Forum. Dr Fawnizus research interests are in VLSI design and test especially in core-based testing, SOC and NOC. Dr Fawnizu currently works on test and debug of ICs, including design-for-test, built-in-self-test and test scheduling. He has filed five patent applications and published more than 100 research papers. He is actively involved in various committee positions with the IEEE Malaysia Section since 2009. He was the Chair of the IEEE Circuits and Systems Society Malaysia Chapter (2013 & 2014) and currently the Vice Chair of IEEE Malaysia Section (2017 & 2018). More details are available at https://bit.ly/fawnizu.
Blockchain Technology - Power to the People!?
Prof. Dr. Philip Sallis
Professor in Computer Science and Geo-Computation
School of Engineering, Computer and Mathematical Sciences
Auckland University of Technology
In 2016 Al Gore, who is often regarded as an IT visionary said: I think the fact that within the bitcoin universe an algorithm replaces the functions of [the government] - actually pretty cool. In this statement, he reflects the somewhat anarchic sentiments of many, that monetary trading can be carried out efficiency and effectively by transacting individuals, without the need for government regulation or financial institutions.
Cryptocurrencies such as Bitcoin may well be the future for currency trading but they are not the only implementation of the facilitating technology they employ. Blockchain Technology is the engine that drives the functionality of what can be considered as the most secure and independent shared database of transaction data across a wide spectrum of applications. Put simply, Blockchain Technology is a distributed database (like a ledger) that records all transactions and proves who possesses them in real-time. The security of this data is made certain by the systems distributed nature, and by sophisticated cryptographic algorithms. These algorithms, expressed as computer programming code, are executed by users in a peer-to-peer electronic relationship. This activity is known as mining.
Bitcoin, Ethereum and other cryptocurrencies and contracting platforms are now joined by trading transactions for energy resources such as electricity, insurance, health, real estate and other resources and services that carry with them a codable value. Algorithms for Blockchain Technology are open-source, and there is no central repository of encrypted transaction data. It is distributed as a whole to those who wish to access it for mining and trading purposes. The complete set of data resides on every users computer and is updated periodically by the Blockchain software engine that drives it. There is no central server and no administrator in the usual sense. The algorithm modifies the repository content as users make transactions.
This talk describes the advent and operation of Blockchain Technology with examples of its use and societal impact, foreshadowing implications internationally, in government and business infrastructure. Block-chain technology offers secure, trusted, distributed, consensus-based platforms to replace previously-centralised and high-cost governmental, corporate and institutional services. Perhaps the key question for the future though, is whether the technological complexity and the difficulty of understanding Blockchain systems will mean that Power to the People is resisted by those who might benefit most.
Philips career spans some 45 years of academic positions in the UK, Australia and New Zealand, with adjunct positions in Hong Kong, the USA and Chile. After his NZ undergraduate studies in Mathematics and Computer Science he completed a PhD at the University of London (City) in 1979. Returning to NZ in 1987 he was appointed to the Foundation Chair in Information Science at The University of Otago. In 1999 he was appointed Deputy Vice Chancellor at Auckland University of Technology (AUT) and since 2009 he has led a research group there in the field of GeoComputation with Wireless Sensor Network and Agrometeorological projects in nine countries, particularly Chile, Germany and Japan. During this time he also held senior university management roles as a Pro Vice Chancellor. From 2018 he has reduced his full-time position to a part-time role as Research Professor in the School of Engineering, Computer and Mathematical Sciences at AUT.
Professor Sallis is a Fellow of the Institute of Information Technology Professionals in New Zealand and a Member of the Royal Society.
He is a Life Member of the International Association of Mathematical Geophysics, a Senior Member of the IEEE and was recently awarded Life Membership of that Institution.