Submission Deadline: November 10, 2019
Acceptance Notification: November 25, 2019
Registration Deadline: December 5, 2019
Conference Date: December 28-30, 2019

Conference Secretary: Yoyo Chow
Telephone: +86-28-86512185 (Working Hour: GMT 10:00AM-5:00PM)


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Keynote Speakers

Prof. Tiong Sieh Kiong
Department of Electronics & Communication Engineering, University Tenaga Nasional, Malaysia

Dr. Ir. Tiong Sieh Kiong is currently a professor in the College of Engineering. He is also the Director for Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional. He received his B.Eng.(Hons), MSc and PhD, in Electrical, Electronic and System Engineering from the Nasional University of Malaysia (UKM) in year 1997, 2000 and 2006 respectively. His research interests are renewable energy, artificial intelligence, data analytics, microcontroller system and communication system. In his capacity, he has led and involved in more than 40 research and consultancy projects for industries. He has published more than 200 technical papers in his research field. Besides, he has been also actively conducting workshops and short courses that are involving artificial intelligence and microcontroller system in the application of communications, renewable energy and machine system. He is currently a Professional Engineer registered with the Board of Engineers Malaysia (BEM). He is also a Member of the Institute of Electrical & Electronic Engineers (IEEE) and he was the Chair of its Communication & Vehicular Technology Society (Malaysia Chapter) in the year of 2011 and 2012.

Speech Titile: Decarbonized Energy for Sustainable Future

Abstract: Societies around the world inclusive Malaysia are dynamically growing in energy demand. Conventional energy generation which is heavily depending on fossil fuel and subsequently causing environmental issues has to be undergone verge of a profound and necessary transformation in the way of producing and energy usage. Cleaner, renewable options of energy such as solar, wind, hydropower, biogas, biomass, geothermal, ocean energy that are replenishable should be actively explored and deployed for advancing economic development, improving energy security, enhancing energy access and mitigating climate change. The importance of energy transformation has urged the United Nations General Assembly to outline a specific goal of Affordable and Clean Energy to be one of its seventeen goals in The Sustainable Development Goals (SDGs) of 2030 agenda. The aim is to improve energy efficiency and enhance international cooperation to facilitate more open access to clean energy technology and more investment in clean energy infrastructure. Meanwhile, Malaysia has set its target to achieve 20% renewable energy (RE) capacity mix by 2025. Hence conceptual framework and methodologies of decarbonizing energy for sustainable future are essentially anticipated.


Prof. Terry Y.-F. Chen
National Cheng Kung University, Taiwan

Professor Chen is a Professor of Mechanical Engineering Department at the National Cheng Kung University, Taiwan. After receiving his Ph.D. from University of Florida, Prof. Chen joined the Department of Mechanical Engineering, National Cheng Kung University in 1986. He is the Editor of “Selected Papers on Photoelasticity”, SPIE Milestone Series, 1999. He was an Adjunct Professor in Department of Material Sciences and Mechanics, Michigan State University in 2000. Since 2004, he served as the Chairman of Photoelasticity Division of Society for Experimental Mechanics for 10 years, and received Zandman Award in 2009. He was the Vice Chairman of Mechanical Engineering Department in 2005, and the Director of Research and Education Division in 2010, and Distinguished Research Fellow in 2012, Center for Micro/Nano Science and Technology, National Cheng Kung University. He has published more than 100 papers, guest edited a special issue of Journal of Strain, contributed chapter in more than 10 books, and gave invited or keynote talks in various international conferences. His current research is focused on materials/structures measurement and testing, digital photomechanics, optical inspection and nondestructive testing for various applications.

Speech Titile: Coke Size Evaluation by a Computer Vision-based System

Abstract: Coke is used as a fuel and a reducing agent in smelting iron ore in a blast furnace. The stability, production and coke consumption rate of the blast furnace may be influenced greatly by the size of cokes. With large size coke, the furnace heat loss will be increased, and the reduction capacity is reduced. With small size coke, the heat loss is less, but the breathability of the furnace is also reduced which may resulting in a stinging fire collapse. Traditionally, coke size is measured manually from the collected coke samples by using various sizes of sieve, which is time-consuming and inefficient. Thus a system to automate the measurement of coke size is needed. In this paper, a computer vision system was developed to measure the coke size. The system consists a PC, a highspeed shutter CCD camera, and a ring light set above the cokes. An image processing scheme developed is able to distinguish the cokes in the image and to determine the coke size using principal direction of moment and angular searching. Test of this system on a real coke conveyer is described. The relationship between the surface size measurement and real cokes was established using statistical data. Application of this relationship to the other measurements reveals that an error of less than 10% can be achieved.

Prof. Ismail Musirin
Faculty of Electrical Engineering, Universiti Technologi Mara, Malaysia

Prof. Ir. Dr. Ismail Bin Musirin obtained Bachelor of Electrical Engineering (Hons) in 1990 from UniversitiTeknologi Malaysia, MSc in Pulsed Power Technology in 1992 from University of Strathclyde, United Kingdom and PhD in Electrical Engineering from UniversitiTeknologi MARA (UiTM), Malaysia in 2005. He is currently Professor of Power System at the Faculty of Electrical Engineering, UiTM and the Director, Community of Research (CoRe), Advanced Computing and Communication (ACC), Institute of Research Management and Innovation, UiTM since Feb 2014.

He has authored and co-authored 2 books, over 300 papers in the international indexed journal and conferences. He is also an international journal reviewer for IEEE Transactions, Elsevier Science, WSEAS, John Wiley, IET and some other publishers. He has been the organizing chair for International Power Engineering and Optimization Conference (PEOCO) for the past 11 years since 2007. He has delivered keynote speeches at Cambridge University, United Kingdom, Dubai, Korea and Malaysia. His research interest includes artificial intelligence, optimization techniques, power system analysis, renewable energy, distributed generation and power system stability. He is a senior member of International Association of Computer Science and Information Technology (IACSIT), member of Artificial Immune System Society (ARTIST) and member of International Association of Engineers (IAENG). To date he has examined more than 35 PhD theses and more than 45 MSc theses from Malaysia and abroad. He is also one of research grant evaluators for Ministry of Higher Education (MOHE), FRGS.Recently (22 Jan 2017), UiTM has awarded Prof. Ir. Dr. Ismail Musirin Silver Award for “Mentor Researcher” in the UiTMResearch Summit Day (RSD) 2017.

Speech Titile: Embedded Optimization Technique in Distributed Generation Planning in Power System

Abstract: The depletion of fossil fuel and climate change challenge has gathered worldwide effort to develop sustainable energy systems. In light of this, various forms of Distributed Generation (DG) technologies have been connected to the system, either to the transmission or distribution system. The installation of DG requires optimisation process to identify the correct location and sizing. Improper sizing and location of DG installation may result to overcompensation or under compensation. Most optimisation techniques are found to face inaccurate and stucked at local minimum phenomena with computationally burdensome. Thus, a reliable optimisation technique is crucial to address this issue.
This speech shares a new proposed technique termed as Embedded Meta Evolutionary–Firefly Algorithm-Artificial Neural Network for Multi-DG planning in distribution system. In this study, Meta Evolutionary–Firefly Algorithm (EMEFA) was initially developed to expedite the computational time in multi-DG installation with improved accuracy. Optimal location and sizing are determined using the proposed EMEFA technique. Load in the distribution system involving the residential, commercial and industrial. These three load types are voltage dependent, and active and reactive power components respond differently to variations in voltage. The voltage dependent load has a main impact on distribution system planning studies. In achieving optimal allocation and placement of DG, two techniques were proposed to study the DG planning which is the ranking identification for DG installation and the integrated clustering development and pre-developed EMEFA was employed. The aim of the technique is to reduce the computational time during the optimization process for DG planning along with the total losses minimisation. Some example of results will be shared with the attendees to aid the understanding of DG Planning.


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