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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:Dr. Juan Manuel Corchado, Professor
  • 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: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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