Enabling and Accelerating IoT - Connecting Your 'Things' Seamlessly

Abstract:
IoT is identified as a megatrend in the high tech industry today. Subsets of IoT cover technologies such as RFID, MEMS, cloud computing, big data and etc.. IoT primarily focuses on non-contact, long reading distance, high speed, real time, to accurately collect and process data, enabling people to identify, authenticate, monitor and manage objects, items, equipment, humans, animals, documents and goods under different environments and conditions. IoT is considered one of the most important and revolutionary technologies with the biggest market potential in the century. IoT products and services may include NFC on SIM Card, NFC tags and readers in various form factors, NFC payment and ecosystems, wireless sensor network systems for passenger tracking, wireless sensor network systems for asset management, item level tagging for supply chain, and many more. These products are useful to major industries including telecommunications, aviation, education, security, and retails. Ways to connect to your desired ‘things’ could be a major challenge to some people and most have misconception that it is not a feasible solution. This session explains what can be learned from RFID industry lifecycle and what are the models that you can use to connect to your ‘things’ inexpensively. It also depicts some case studies on how IoT has been deployed successfully in different areas.

Biography:
Liew Choon Lian was born in Johor, Malaysia in March 16, 1960. Grew up and educated in Negeri Sembilan until Form Three, secondary school.　Attended the famous Royal Military College and graduated with top honours. Left Malaysia in 1981 for the United States under the Malaysian Armed Forces Scholarship, completed undergraduate and graduate schools in Iowa and New Jersey. Worked and lived in Manhattan, New York City, for 5 years before being head-hunted by Matsushita Electric Industrial of Japan in 1994. Moved to Japan in June that year, and lives in Fujisawa City since. Liew guided MDT Innovations to a place in history when it emerged 12th in Deloitte’s Fast 500 Asia Pacific 2011, the highest ranking ever achieved by an ASEAN company. Between 2006 and 2013, the company won 13 Asia Pacific ICT awards, including two Prime Minister’s Best of the Best awards. It has also won the Red Herring Top 100 Asia Company 2008 and the Red Herring Top 100 Global Company 2009 awards. These awards testify to the company’s strengths in technology and innovation. In the early 1990s, Liew was among the top market analysts on a hot technology called “multimedia” with Nick Arnett of Multimedia Corporation. Liew was also among the key players involved in pen-based and mobile computing, working with Jeff Hawkins, Donna Dubinsky (Palm Computing) and Maeda (Sharp Corporation), which resulted in the successful Palm Pilot and Zaurus. At Fuji-Keizai USA, Liew became a very successful industry analyst and strategic consultant in New York, San Jose and Tokyo, serving world-class corporations such as NTT, Panasonic and NEC. Today, Liew is among the 13 members of the Local Advisory Panel to the Ministry of Science and Technology and MDeC, providing input on enhancing national ICT competitiveness. Abroad, Liew plays a vital role in major ICT events as a speaker, judge or panel member.

Liew Choon Lian
Chairman and CEO
MDT Group of Companies

Big Data -- All About Patterns

Abstract:
Big Data is setting a foundation to start harnessing data as an asset in order to flourish our economies, industries, and life as whole. Data storage and processing goes back to 5000-years ago, which effectively was born in Mesopotamia where they used to store data in clay tablets. At this presentation, we look at how big data storage, processing, and visualization changed through time. We will also see how Big Data is able to connect all our “things” to enable smart cities and also capture a holistic view of our life’s moments to improve customer experience. Throughout my experience in helping companies to harness Big Data, I will examine how organizations can set a successful Big Data strategy and I will show examples on how cities and organizations from different industries are using Big Data to find patterns in big data.

Biography:
Ali Rebaie is a Big Data & Analytics industry analyst and consultant of Rebaie Analytics Group. He provides organizations with a vendor-neutral selection of business intelligence & big data technologies and advice on big data and information management strategy and architecture. Ali also appeared in several lists of "Who's Who in Big Data" and as one of the top big data influencers worldwide. Ali is a frequent speaker at international conferences and regularly trains on data science and visualization. Ali recently founded Data Aurora, a data science consulting services firm that help organizations produce aurora of patterns in “data”. As a School of Data fellow, he aims at growing a community of data enthusiasts, spreading data skills and educating on the use of big data for public good. He led and developed several technology projects in business intelligence and analytics and worked for clients in the Fortune 500. Ali is a member of the internationally renowned Boulder BI Brain Trust (BBBT) in Boulder, USA, a membership-only consortium of leading independent BI and Big Data experts and analysts worldwide.

Ali Rabaie
Analyst & Consultant
Rabaie Analytics Group

Intelligent Wireless Sensor Network

Abstract:
Wireless sensor networks consist of many sensor nodes that contain environmental sensing devices for movement, temperature, humidity, exhaust gas, and so on, which are distributed over an area to measure various characteristics of that region. Each sensor node also has limited wireless computational power to process and transfer the sensing live data to the base station or data collection center. Sensor node has a low level of power, and its battery power cannot be replenished. If the energy of a sensor node is exhausted, wireless sensor network leaks will appear, and failure nodes will not relay data to the other nodes during transmission processing. Thus, other sensor nodes will be increasingly burdened with transmission processing. Given these issues, energy consumption in wireless sensor networks is an important research issue. This talk will introduce some exiting algorithms for reducing the power consuming, cell loss and packet loss. How to apply the intelligent techniques for wireless sensor networks is also addressed.

Biography:
Jeng-Shyang Pan received the B. S. degree in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M. S. degree in Communication Engineering from the National Chiao Tung University, Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, U.K. in 1996. Currently, he is the Doctoral Advisor in the Harbin Institute of Technology Shenzhen Graduate School. He has published more than 500 papers in which 190 papers are indexed by SCI. He is the IET Fellow, UK and has been the Vice Chair of IEEE Tainan Section. He was Awarded Gold Prize in the International Micro Mechanisms Contest held in Tokyo, Japan in 2010. He was also awarded Gold Medal in the Pittsburgh Invention & New Product Exposition (INPEX) in 2010, Gold Medal in the International Exhibition of Geneva Inventions in 2011 and Gold Medal of the IENA, International "Ideas - Inventions - New products", Nuremberg, Germany. He was offered Thousand-Elite-Project in China. He is the Editor-in-Chief of Journal of Information Hiding and Multimedia Signal Processing. His current research interests include soft computing, robot vision and signal processing.

Jeng-Shyang Pan
Harbin Institute of Technology Shenzhen Graduate School
Editor-in-Chief
Journal of Information Hiding and Multimedia Signal Processing

Collaborative Security Mechanism on Internet of Things

Abstract:
Since 1969, Internet has been responsible in connecting billion of computers worldwide. The development of Internet has help to shape the world todays in the aspect of education, communication, business, science, government, and humanity. The near future of Internet has been foreseeable to connect variety of thing or object such as Radio-Frequency IDentification (RFID), tags, sensors, actuators, mobile phones and etc to the global internet connection. This paradigm shift of Internet is referred as Internet of Things (IoT). Despite the growing in importance and creating new value to the Internet technology, IoT is also brings together the drawback of the Internet. Throughout the evolvement, expansion and the growth of Internet it has exposes the user to the possibility of cyber security threat. Through IoT, large numbers of object or things is embedded with processors that runs applications are expected to be connected to the global internet connection. These scenarios provide several numbers of opportunities to the cybercriminal or hacktivists to exploit any vulnerability on the devices that is not properly secured. With the sophistication and advanced of cyber threat such as Worm, Botnet and Advance Persistent Threat (APT), IoT infrastructure need a collaborative security mechanism that can mitigate all these threats. Based on this reason this paper reviews on the current advance security threats and introduce an Enhance Collaborative Security Concept that incorporate several existing security mechanism that can be adapted as a mitigation mechanism for IoT.

Biography:
Shahrin Sahib is currently serving the vice chancellor post at Universiti Teknikal Malaysia Melaka (UTeM), Malaysia. He is also a Professor of Computer Science at the Faculty of Information and Communication Technology, UTeM by profession. He obtained his PhD in the area of Parallel Processing from the University of Sheffield United Kingdom in 1995. His Master’s Degree and Bachelor’s Degree are from Purdue University, United States in the area of Computer Systems Engineering. Before serving Universiti Teknikal Malaysia Melaka (UTeM), he has served a number of institutions namely University of Science Malaysia, Multimedia University and Yayasan Melaka College in various administrative capacities as Dean of Faculty, Directors of Centers and Director of Academic Affairs. He also serves as the Deputy Chairman for the ICT Cluster of the National Council of Professors. His expertise in curriculum development is frequently sought by the Malaysian Qualification Agency (MQA) at which he sits in the Accreditation Committee and Chair the Computing Standards Committee. Besides contributing to the development of Malaysian Critical National Information Infrastructure (CNII) Policy and the National Cyber-Security Policy (NCSP), he still contributes to Cybersecurity Malaysia as a Member of Malaysia Common Criteria (MyCC) Scheme Management Board. His current areas of interest are in the area of Network and Computer Security. He has published over 100 technical papers in both international conferences and journals. He has contributed his knowledge and experience as international program committee, reviewer and resource person in numerous research events..

Shahrin Sahib @ Sahibuddin
Vice Chancellor
Universiti Teknikal Malaysia Melaka, Malaysia

The Emerging “Big Dimensionality”

Abstract:
The world continues to generate quintillion bytes of data daily, leading to the pressing needs for new efforts in dealing with the grand challenges brought by Big Data. Today, there is a growing consensus among the computational intelligence communities that data volume presents an immediate challenge pertaining to the scalability issue. However, when addressing volume in Big Data analytics, researchers in the data analytics community have largely taken a one-sided study of volume, which is the “Big Instance Size” factor of the data. The flip side of volume which is the dimensionality factor of Big Data, on the other hand, has received much lesser attention. In this talk, special focus is placed on the relatively under-explored topic of “Big Dimensionality”, wherein the explosion of features (variables) brings about new challenges to computational intelligence. We begin with an analysis on the origins of Big Dimensionality. The evolution of feature dimensionality in the last two decades is then discussed using popular data repositories considered in the data analytics and computational intelligence research communities. Subsequently, some of the state-of-the-art feature selection schemes reported in the field of computational intelligence are reviewed to reveal the inadequacies of existing approaches in keeping pace with the emerging phenomenon of Big Dimensionality.

Biography:
Yew-Soon Ong is currently an Associate Professor and Director of the Center for Computational Intelligence, Director of the A*Star SIMTECH-NTU Joint Lab on Complex Systems at the School of Computer Engineering Nanyang Technological University, Singapore and Programme Principal Investigator of the Rolls-Royce@NTU Corporate Lab. He received a PhD degree on Artificial Intelligence in complex design from the Computational Engineering and Design Center, University of Southampton, United Kingdom in 2003. His current research interest in computational intelligence spans across memetic computing, evolutionary computation, machine learning and agent-based systems. He is the founding Technical Editor-in-Chief of Memetic Computing Journal, founding Chief Editor of the Springer book series on studies in adaptation, learning, and optimization, Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Transactions on Neural Networks & Learning Systems, IEEE Computational Intelligence Magazine, IEEE Transactions on Cybernetics, Soft Computing, International Journal of System Sciences and others. He has coauthored over 120 refereed publications and his research grants in the last five years amounts to a total of more than 25 million Singapore dollars. These comprises of research funding from both national and international partners that includes the Singapore National Grid Office, A*STAR, Singapore Technologies Dynamics, Boeing Research & Development (USA), Rolls-Royce Singapore and Honda Research Institute Europe (Germany), National Research Foundation and Media Development Authority- Singapore-MIT GAMBIT Lab. Presently, he Chairs the IEEE Computational Intelligence Society Intelligent Systems and Applications Technical Committee. His research work on Memetic Algorithm was featured by Thomson Scientific's Essential Science Indicators as one of the most cited emerging area of research in August 2007. Recently, he also received the 2014 IEEE Computational Intelligence Magazine Outstanding Paper Award and the 2012 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his work pertaining to Memetic Computing. In teaching, he has also received teaching awards including the Nanyang Excellence Award for Teaching in 2008, Most Popular Lecturer Award 2009, and recently invited as Fellow of Renaissance Engineering Programme at Nanyang Technological University.

Yew-Soon Ong
Director, Centre for Computational Intelligence
Director,SIMTECH-NTU Joint Lab on Complex Systems
Programme Principal Investigator, Rolls-Royce@NTU Corporate Lab

Opportunities for ICT an ETP perspective

Abstract:
The Economic Transformation Programme has been in place for more than three years since 2011. Coming into its 4th year, the ETP has gained significant impact on the economy which will be shared in detail as evidence. However, the question on ICT continues vis-à-vis in the context of ETP. Malaysia being a country that has a mature ICT ecosystem has been a strong user of ICT. The strategy that needs to be addressed is what will the focus be for ICT now? The ETP has shown that focus on the strong qualities of an industry generates better success rates, though less sexy from a pioneering perspective. As a user, can Malaysia refocus on generating opportunities in areas that are economically stronger and has the potential to grow globally? This paper attempts to elucidate the huge potential of ICT use in a new industry that has seen tremendous growth as a result of ETP whilst maintaining the need to continue the growth in traditional industries.

Fadhlullah Suhaimi Abdul Malek
Director of NKEA Communication, Content and Infrastructure
Performance Management and Delivery Unit (PEMANDU) , Malaysia

ETP – The ICT Opportunities for Businesses and Researchers

Abstract:
The Economic Transformation Programme (ETP) is part of the National Transformation Programme, launched in September 2010. The ETP objectives are achieved through the implementation of 12 National Key Economic Areas. Amongst the NKEAs, ICT is most prominent in NKEA Communications Content and Infrastructure. This NKEA looks at serving tomorrow’s usage of ICT, pushing boundaries within typical industries such as healthcare, education and government, and enhancing the foundation to support utilization of ICT. This session focuses on the ICT opportunities within the ETP specifically NKEA CCI and other areas such as big data analytics.

Iris Dang Su Ling
Manager, NKEA (Communication Content and Infrastructure) Performance Management and Delivery Unit (PEMANDU) , Malaysia

Establishing A Big Data-driven and Analytic Culture in Public Service

Wan Rosdi Wan Dolah
ICT Consultant (Technical)
ICT Consultancy Unit, MAMPU, Malaysia

Software Testing in Public Sector

Kathirrasan K Kupusamy
ICT Consultant (System Development)
ICT Consultancy Unit, MAMPU, Malaysia

Enhancing Service Delivery in Public Sector Through Big Data Analytic - BDA Initiative

Yusminar Yunus
ICT Consultant (Information Management)
ICT Consultancy Unit, MAMPU, Malaysia

Mesh Free Interpolation and Approximation of Scattered Spatio-Temporal Data - An Informal Introduction

Vaclav Skala
Head of the Center of Computer Graphics and Visualization
University of West Bohemia, Plzen, Czech Republic

Interesting Applications of Neuro Method: Application to Solving Initial Value Problem (IVP) Ordinary Differential Equations (ODE)

Mohammad Shazri Shahrir
Head of Analytics and Computation
Telekom Malaysia Research & Development, Malaysia

The Potential of Telehealth Application in the Future

Mohd Khanapi Abd. Ghani
Dean of Faculty of Information and Communication Technology
Universiti Teknikal Malaysia Melaka, Malaysia

Information Security Risk Analysis: Hybrid Approach

Objective Quantification of Large–Scale Neural Correlates of Auditory Selective Attention