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第五届模糊系统与数据挖掘国际会议
日本 • 福冈 • 北九州   2019年10月18日-2019年10月21日
主题报告
  • 报告题目:Blockchain, Edge Computing and Artificial Intelligence
  • 报告摘要:
    Artificial Intelligence (AI) is the driving force of growth in the world and therefore it is an extremely topical subject nowadays. The ever-greater developments in the field of artificial intelligence have sparked conversations of its potential in different sectors (society, business, government, etc). AI has been here for ages but now we have all we need to make it a reality; computing power, storage capacities, communications technology and man power. With all these resources we can become more efficient by incorporating AI into our daily activities. Blockchain is the technology behind bitcoin, ether and most of the other cryptocurrencies. Blockchain is essentially a form of record keeping and can be used in almost any product that uses some form of record keeping or database management. Blockchain is ideal for protecting any data that must be unalterable and indestructible. Edge Computing streamlines the flow of traffic from IoT devices and provides real-time local data analysis. Instead of a centralized data-processing warehouse, this paradigm processes the data near the edge of the network, where the data is being generated. Edge computing accelerates data-streaming, including real-time data processing without latency. It allows smart applications and devices to respond to data as they are being created, this almost instantaneous response eliminates lag time. This is critical for technologies such as self-driving cars and has equally important benefits for business.
  • 报告人:Prof. Juan Manuel Corchado
  • 报告人单位:European IoT Digital Innovation Hub; BISITE Research Group, University of Salamanca, Salamanca, Spain
  • 职务:Director
  • 个人主页:http://www.fsdmconf.org/Juan.html
  • 个人介绍:
    Juan Manuel Corchado (born May 15, 1971 in Salamanca, Spain). He is Full Professor with Chair at the University of Salamanca. He was Vice President for Research and Technology Transfer from December 2013 to December 2017 and the Director of the Science Park of the University of Salamanca, Director of the Doctoral School of the University until December 2017 and also, he has been elected twice as the Dean of the Faculty of Science at the University of Salamanca. In addition to a PhD in Computer Sciences from the University of Salamanca, he holds a PhD in Artificial Intelligence from the University of the West of Scotland. Juan Manuel Corchado is Visiting Professor at Osaka Institute of Technology since January 2015, Visiting Professor at the Universiti Malaysia Kelantan and a Member of the Advisory group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). Corchado is the Director of the European IoT Digital Innovation Hub and of the BISITE (Bioinformatics, Intelligent Systems and Educational Technology) Research Group, which he created in the year 2000, President of the AIR Institute, Academic Director of the Institute of Digital Art and Animation of the University of Salamanca and has been President of the IEEE Systems, Man and Cybernetics Spanish Chapter. He also oversees the Master′s programs in Digital Animation, Security, Blockchain, IoT, Mobile Technology, Information Systems Management and Agile Project Management at the University of Salamanca. Corchado has supervised more than 25 PhD theses, is author of over 800 research peer review papers and books, has chaired the scientific committee of more than 30 international conferences, and is also Editor-in-Chief of Specialized Journals like ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal) and OJCST (Oriental Journal of Computer Science and Technology).
  • 报告题目:Distinctive Features of Fuzzy Logic Control
  • 报告摘要:
    We have three procedures to model a complicated nonlinear system. The first one is a mathematical way, in which the input-output characteristics is represented by mathematical equations derived from given conditions and defined variables and parameters. This procedure is difficult to modify the equations when the system characteristics or the circumstance is changed. The second one is a parameter distribution such as neural networks, in which the parameters (weights and thresholds) are assigned by evolutional computation, so called learning, by employing numerous practical data. This procedure has the problem of low designability and local minimum. The third one is a fuzzy system in which a set of fuzzy IF-THEN rules with a natural language describes the input-output characteristics of the system under consideration. The fuzzy IF-THEN rules can be established by interviewing a human expert who has a detailed knowledge of the system under consideration. This procedure exhibits good designability, easy modification and effectiveness. Furthermore the system described with fuzzy IF-THEN rules is structured and thus easy to understand. In this Keynote Speech, high speed intrinsic fuzzy hardware systems such as fuzzy chips, fuzzy boards, a fuzzy controller, etc. are presented. A typical fuzzy logic control, so called “mouse stabilization,” is touched upon. SOR (Self-Organizing Relationship) network is also presented, which is an extension of SOM (Self-Organizing Maps) and facilitates both of fuzzy knowledge acquisition and fuzzy inference. The distinctive feature of the SOR network is provided with the application to a trailer truck parking problem.
  • 报告人:Prof. Takeshi Yamakawa
  • 报告人单位:Kyushu Institute of Technology, Japan; Fuzzy Logic Systems Institute (FLSI), Japan
  • 职务:Professor; Founding Director
  • 个人主页:http://www.fsdmconf.org/Takeshi.html
  • 个人介绍:
    Takeshi Yamakawa is now the Founding Director of Fuzzy Logic Systems Institute (FLSI) in Japan. He received the B. Eng. degree in electronics engineering in 1969 from Kyushu Institute Technology, Tobata and the M. Eng. degree in electronics engineering in 1971 from Tohoku University, both in Japan. He received the Ph.D. degree for his study on electrochemical devices in 1974 from Tohoku University, Japan. From 1974 to 1977, he engaged in the development of new electrochemical devices as an Assistant Professor at Tohoku University. From 1977 to 1981 he served as an Assistant Professor in electrical engineering and computer science at Kumamoto University, Japan. From 1981 to 1989 he was an Associate Professor at Kumamoto University. During this time, he developed intrinsic fuzzy logic integrated circuits in pMOS (1983) and CMOS (1985), a fuzzy logic controller hardware (1986), a fuzzy logic computer hardware (1986), a fuzzy memory device (1986), and fuzzy micro processors (rule chip and defuzzifier chip) (1988). He joined the Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan and received a full professorship in April 1989. He established a foundation, Fuzzy Logic Systems Institute (FLSI), in Japan in 1990 to promote the international collaboration on fuzzy logic, neural networks and soft computing, and to promote the spread of the research results. Prof. Yamakawa developed the fuzzy neuron chip in BiCMOS technology which facilitated hand-written character recognition within 1 microsecond by one fuzzy neuron chip (1991). He also developed the chaos chip in CMOS technology (1992). In 2000 he moved to the new campus, Wakamatsu, of the Kyushu Institute of Technology to be a professor of the Department of Brain Science and Engineering. In March of 2009. he retired from the Kyushu Institute of Technology and in April of 2009 he was engaged to the same university to promote the project for Specially Promoted Research of JSPS. His main research interest lies on hardware implementation of fuzzy systems, fuzzy neural networks, and chaotic systems. He holds 11 patents in U.S.A., 4 patents in Europe, 1 patent in Australia and 1 patent in Taiwan, and he has also applied for more than 100 patents in Japan. Prof. Yamakawa is a fellow of IEEE, International Fuzzy Systems Association (IFSA) and Japan Society of Fuzzy Theory and Systems (SOFT). He received IEEE 2008 Fuzzy Systems Pioneer Award. He is acting as a member of editorial board and a regional editor of 10 international professional journals. He contributed more than 80 international conferences as a member or the chairman of organizing/programming committee. He was used to organize the International Conference on Fuzzy Logic, Neural Nets and Soft Computing (so called IIZUKA Conference) every two years in Iizuka, Japan. He was the director of two national projects, i.e., the 21st Century Center of Excellence entitled “World of Brain Computing Interwoven out of Animals and Robots” from 2003 to 2008, and the Specially Promoted Research (Project No.20001008) entitled “Identification of Epileptogenic Focus by Employing Softcomputing and Establishment of Minimally Invasive and Definitive Surgery” from June 2008 to March 2012. Prof. Yamakawa is now engaged in the research on the application of dielectrophoresis to separation, handling, identification and measuring weight of a biological cell, and on drugless suppression of epilepsy by employing bio-feedback technology. Prof. Yamakawa is now studying acupuncture (oriental medicine) in the college (night course) as a third-year student aiming at the national license of professional acupuncturist. Prof. Yamakawa plays Karate (Japanese traditional martial arts) and possesses a black belt (5th Dan). He has been playing Shakuhachi for more than 50 years, which is Japanese traditional musical instruments. He also enjoys, every morning, taking care of two gentle dogs and one female American quarter horse on which he enjoys dressage and show jumping.
  • 报告题目:Evaluation of Sustainable Development Capability of Anhui Province, China Based on Entropy Weight Fuzzy Matter-Element
  • 报告摘要:
    Environmental pollution and other problems caused by the rapid development of social economy seriously threaten the survival of human beings. The sustainable development capacity of a region is the ability to develop resources, environment, ecology and economy in harmony, which is an important factor for the long-term development of a country and determines the potential of its future sustainable development. Based on the development ideas of "innovation, coordination, green, open, and sharing", and by taking the Anhui Province of China as an example, this paper establishes an entropy fuzzy matter-element model to comprehensively evaluate the sustainable development capacities of Anhui Province and its prefecture-level cities from five subsystems: resource sustainability, environmental sustainability, ecological sustainability, economic sustainability, and social sustainability. Research results show that the overall level of sustainable development capacity of Anhui Province was improving progressively from 2010 to 2017 and that of each subsystem was increasing in varying degrees as well; the sustainable development capacity of environmental, economic and ecological subsystems has been improved the most. However, from the perspective of regional development, the sustainable development capacities were quite unbalanced among different prefecture-level cities in Anhui Province; the sustainability of economy was obviously better than that of other subsystems, and the sustainable development capacity of northern Anhui was significantly backward as compared with that in central and southern regions of Anhui Province. Therefore, there is a certain pressure for Anhui to achieve the goal of sustainable development. In the long run, it is necessary to strengthen the regional sustainable development, formulate development policies and measures according to local conditions, and give play to the comparative advantages of cities to jointly promote the sustainable development of the whole province.
  • 报告人:Prof. Dr. Malin Song
  • 报告人单位:Graduate School, Anhui University of Finance and Economics, China
  • 职务:Dean
  • 个人主页:http://www.fsdmconf.org/Song.html
  • 个人介绍:
    Prof. Malin Song is now the Dean of the Graduate School of Anhui University of Finance and Economics. He founded the Managerial Statistics Research Center in November 2011 and the Chinese Ecological Economics and Statistics Innovation Research Center in AUFE in May 2013, and he has served as the Director of both since their establishment. He was elected into the “New Century Excellent Talents Support Plan” program sponsored by the Department of Education of China in December, 2012. From 2014, he has served as an adjunct research fellow at the China Research and Development Centre (UK). In November 2015, he was recognized as one of excellent young and middle-aged experts with outstanding contributions in China. In January 2016, he was invited to be a member of Scientific Committee of the Inter-University Sustainable Development Research Programme; in July, he was appointed as the Chief Editor of the journal Management of Environmental Quality that subordinate to Emerald Group; in November, he was invited to be an academic advisor for doctorate thesis of Southwestern University of Finance and Economics; and in December, he was elected as a famous teacher in Anhui Province, China. In July 2017, he was appointed as a distinguished professor of the Wanjiang Scholars project. In September 2018, he was selected into the Academic Overview of 60 Well-known Scholars by China Society of Industrial Economics since the reform and opening up 40 years ago. In November 2018, he was appointed as a member of the teaching guidance committee for statistics majors in institutions of higher learning by the Ministry of Education of China. In recent years, Prof. Song has focused on data envelopment analysis, environmental economics, and statistics, with remarkable achievements, especially in environmental efficiency evaluation and applications. He has presided over and completed the project “Environmental efficiency evaluation method and applications based on data envelopment analysis” sponsored by the National Natural Science Foundation of China, which is assessed as “excellent” afterwards. Currently, Prof. Song is presiding over significant brainstorming researches on topics in the fields of philosophy and social science, under the mandate of the Ministry of Education of China. Since 2010, Prof. Song has published more than 100 papers on international SSCI/SCI journals as the first or corresponding author, and nearly 20 papers in Chinese journals, such as Economic Research, as the first author. Prof. Song has received following academic awards: the first prize from the National Commercial Ministry; the second prize of the National Statistical Scientific Research Outstanding Achievement Award; the second prize from the National Commercial Ministry; the first, second, and third prizes of the National Commercial Scientific and Technological Advancement Award; the third prize of the 7th Higher Education Scientific Research (humanities and social sciences) Outstanding Achievements Award; and the second and third prizes for excellent theses on natural science in Anhui Province.
  • 报告题目:RSU-AI-Monitoring System for Mobile Personalized Learning
  • 报告摘要:
    Machine learning and AI allowed researchers to view and analyze student patterns like never before. By monitoring the students online, teachers can before-hand assist those who need some advices. Rangsit University-Artificial Intelligence-Monitoring System aka RSU-AI-Monitoring System is an effective tool for behavior monitoring changes. RSU-AI-Monitoring System has two components: measurement and evaluation. RSU-AI-Monitoring System can track many attributes on user activities logs; such as attendances, quiz marks, logins and logouts timestamps, IP address, and user names. Those students who have been measured and paid close attention to selected behaviors; often react to this monitoring information by changing their behaviors in the desired direction. This research aims to trace and direct students online to the selected behaviors. Our experiments trace and track on two major courses; which are THAI106 and ENG101. These courses are general education courses offering online. The students can access these courses via their mobile devices on RSU electronic learning (elearning). The student can: (1) measure and record his or her own behavior (measurement); and (2) compare the recorded behavior to a pre-determined standard (evaluation). Sample data are collected from more than 1000 students in the same semester. Our experiments revealed a good progress on the overall student’s final examination marks. The findings indicated that there are more than 50% improvement between the midterm and the final scores.
  • 报告人:Dr. Chetneti Srisa-An
  • 报告人单位:College of Digital Innovation and Information Technology, Rangsit University, Thailand
  • 职务:Dean
  • 个人主页:http://www.fsdmconf.org/Chetneti.html
  • 个人介绍:
    Chetneti Srisa-an is an Assistant Professor and now the Dean of College of Digital Innovation and Information Technology, Rangsit University, Thailand. Dr. Srisa-an is the leading innovator and pioneer of start-ups in Thailand. Dr. Srisa-an worked as the Deputy Managing Director (DMD) at Advanced Research Group Co., Ltd. from 2011 to 2014; the Dean of Faculty of Information Technology at Rangsit University from 2004 to 2010; the Director of Computer Science Program at Rangsit University from 2002 to 2004; the Senior Software Manager of E-Commerce Department at United Airline from 2000 to 2002; the Oracle Database Administrator and IT Production Manager at Hypermedia Publishing Co., Ltd from 1997 to 2000; and the Technical Development Manager at AsiaInfonet Thailand Co., Ltd. from 1995 to 1997, respectively. Dr. Srisa-an received the Bachelor of Engineering degree in Communication and Electrical Engineer from Chiang Mai University, Thailand; the Master of Business Administration (MBA) in Finance from Institute Loyola University of Chicago, Chicago, USA; the Master of Science and the PhD degrees in Computer Science from Institute Illinois Institute of Technology, Chicago, USA, respectively. Dr. Srisa-an’s current research interests include several areas of Data Mining, Big Data, Artificial Intelligent (AI), and Machine Learning. He published in numerous journal papers and international conferences. His recent publications include “A Classification of Internet Pornographic Images” published in the International Journal of Electronic Commerce Studies (IJECS); “A Performance Evaluation of Vulnerability Detection: NetClarity Audito, Nessus, and Retina”, published in the International Journal of Computer Science and Network Security (IJCSNS); “Applying Spanning Tree Graph Theory for Automatic Database Normalization”, published in the International Journal of Computer, Information, Systems and Control Engineering; “An Ontology based Knowledge Management for a User Preference of E-Learning System”, presented at the 8th Knowledge Management International Conference; “A Location Based Mobile Community Using Ant-Based Clustering Algorithm”, presented at the International Conference on Internet Studies; and “Applying Genetic Network Programming for a Nude Image Classification”, presented at the 19th International Conference on Management and Information Technology (ICMIT), respectively.
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