Dr. Masahiro Nakamura
CEO, LEXER RESEARCH Inc., Japanhttp://www.lexer.co.jp
Dynamic Optimization Technology for Cyber Physical ProductionWithMassively Parallel Simulation
The purpose of the present study is to establish new method for building cyber physical system for manufacturing in IoT era. A system concept for the management method of a production system is required in the deployment of strategic approach in manufacturing. This paper describes the concept of SIM(Simulation Integrated Manufacturing), the objective of which is to dynamically optimize production planning using withmassively parallel simulation computing. Also the positioning of SIM in AI field is proposed as new technology 'Deep Thinking'. Finally described is the effect demonstrated in a verification experiment, in which this concept was applied to an actual manufacturing operations in large enterprise and small medium enterprise.
Dr. Masahiro Nakamura is the founder of LEXER RESEARCH Inc., established in 1993 in Japan. He had joined in Komatsu LTD, Production Research Center before establishing LEXER RESEARCH.After that LEXER has been developing software products that is based on virtual and process design technology. Especially LEXER has specialized in production simulation product today and been promoting 'Simulation Integrated Manufacturing' concept as original manufacturing concept that will be the key technology for Cyber Physical Production System in manufacturing IoT era.Having national project and co-research work with industry and universities, LEXER has been proposing visional concept and upcoming technology. Through these activities, LEXER had received the 4th Manufacturing Japan Grand Award, Minister of Economy, Trade and Industry Prize. Current research activity:
- Development of Production Simulator 'GD.findi'
- Research of Dynamically Optimization production technology
- Promotion of the concept of 'Simulation Integrated Manufacturing'
Prof.Dr. Thanaruk Theeramunkong
School of Information, Computer, and Communication Technology (ICT)
SIIT, Thammasat University, Thailand
Thai Language Processing and Its Applications: Past, Present and Future
From a computational point of view, difficulty of Thai language processing has a root on optional vowel expression, no word boundary, no sentence boundary, flexible word composition and flexible grammar structure. So far two comprehensive surveys on Thai language processing by Sornlertlamvanich et al. (2000) and by Koanantakool et al. (2009) and more recent literature but a broad topic of artificial intelligence research in Thailand by Kawtrakul and Praneetpolgrang (2014) have provided good fundamental historical remarks and research perspectives in the field. Starting from machine translation, in these four decades, Thai researchers have conducted studies on information retrieval and information extraction, speech recognition and synthesis, optical character recognition, text categorization, text summarization, and text sentimental analysis. The talk provides a review of the state of the art on research and development in the natural language processing, particularly in Thai language. Including the characteristics of the language, rule-based and statistical approaches are discussed, and methodologies towards coping with the difficulties in processing subtasks are presented with potential applications. As one application, research on text summarization is described and the potentials are discussed.
Keywords: Thai language processing, information extraction, text mining and text summarization
Thanaruk Theeramunkong is currently a professor at School of Information, Computer and Communication Technology at Sirindhorn International Institute of Technology (SIIT) at Thammasat University, Bangkok, Thailand. He is also the Program Director of Information and Communication Technology for Embedded Systems (ICTES) at TAIST Tokyo Tech, National Science and Technology Development Agency (NSTDA). He received his bachelor degree in Electric and Electronics Engineering, master and doctoral degrees in Computer Science from Tokyo Institute of Technology. He was a research associate at Japan Advanced Institute of Science and Technology in Japan and a MIS manager at C.P. Seven Eleven Public Co., Ltd. in Thailand. He got several awards, including the Very Good Research Award in engineering field from Thammasat University in 2008, 2009 and 2010. Recently, in 2014, he has received the National Outstanding Researcher Award in the field of Information Technology and Communication Arts. He also got several best paper awards from conferences and societies, including the Japanese Society for Artificial Intelligence, PAKDD workshops, and KICSS. In 2015, he also got a Gold Medal with the Congratulations of the Jury from the 43rd International Exhibition of Inventions of Geneva for the inventions of automatic semantic-based multi-document summarization and application to public hearing. His research interests are natural language processing, data mining, text mining, machine learning and applications to service science. He is also a member of the Steering Committee of the Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD). He is an associate editor of the Institute of Electronics, Information and Communication Engineers (IEICE). He is the author of more than 40 papers in a number of journals with impact factors and more than 100 conference papers.