Prof. Xunwei Zhou
Beijing Union University, China
Speech Title: Membership Grade Mining of Mutually Inverse Fuzzy Implication Propositions
Biography: Prof. Xunwei Zhou is professor emeritus in Beijing Union University now. He constructs mutually-inversistic logic and applies it to computer science and artificial intelligence since 1984. He has published about 80 papers and authored 4 books on them. From Mar. 1978 to Jan. 1982 he was an undergraduate in Beijing University of Technology, obtaining B. E. From Sept. 1985 to Jan. 1987 he was a graduate student in Beijing University of Technology, obtaining no degree. From Feb. 1987 to June 1992 he was a lecturer in Beijing University of Technology. From July 1992 to Sept. 2012 he was an associate professor, professor in Beijing Union University. He is a senior member of Chinese Computer Federation, a member of Technical Committee of Artificial Intelligence Theory of Chinese Association of Artificial Intelligence, a director of Beijing Logic Association.
Abstract: The author constructs mutually-inversistic logic. In constructing mutually inverse implication, the author inherits from and improves on material implication. In constructing mutually inverse fuzzy implication, the author combines mutually inverse implication with Zadeh’s fuzzy logic. In this paper, the membership grade mining of mutually inverse fuzzy implications proposition is described. It differs from the conventional association rule mining in that the former mines membership grade while the latter mines support and confidence.
Prof. Vidosav D. Majstorovic
University of Belgrade, Serbia
Speech Title: Cyber-Physical Manufacturing and Industry 4.0 Model
Biography: He was born on 16.10.1952 in Čačak. He graduated from the Faculty of Mechanical Engineering in 1971, and graduated on November 8, 1976. He started working at the Faculty of Mechanical Engineering on November 9, 1976 as a research associate. He was elected as a full professor in 2000. He defended the master's thesis in 1981, and the doctoral thesis in 1988.
The most important duties: President of the National Quality Organization - JUSK from 2009 - 2018; President of the National Technology Platform Manufuture since 2007; Editor-in-Chief of the journal - International Journal "Advanced Quality", since 1995; President and founder of the International Conference "Total Quality Management - Advanced and Intelligent Approaches" since 2001, President and founder of the International Conference "The Balkan Conference of Quality - The Balkans as a Region of Quality" since 2005 ; President and founder of International Conference "Manufuture in Serbia" since 2009. President and founder of the International Conference "Industry 4.0 in Serbia", since 2016 Member of the Council for Quality of the RS (1994-2001); Committee for Mechanical Engineering of MNT R Serbia (1994-2000), etc.
Abstract: The Cyber Manufacturing Systems (CMSs) are based on integration of the Cyber Physical Systems (CPSs) and connection between Internet of Things (IoTs) and Cloud technology (CT). These are high-level methodologies for development of new generation factories, which are more intelligent, flexible and self-adaptable. CMSs generates Big Data, horizontally by integration (network of machines, processes and sensors) and vertically by control (usually defined over five levels) which should be analytically processed and managed by the Cyber-Physical Manufacturing (CPM) or CPS. In this way, two functional entities, real and virtual, are established, through which: (a) the advanced connectivity that ensures real-time data acquisition from the physical world and information feedback from the cyber space; and (b) intelligent data management, analytics and computational capability that constructs the cyber space. Industry 4.0 is Program initiated by German Government and industry as a new model of automatization of manufacturing technologies. CPM is the key element of Industry 4.0.
In collaborative research, which we carry out in the field of quality control and manufacturing metrology at University of Belgrade, Faculty of Mechanical Engineering in Serbia, three research areas are defined: (а) Digital manufacturing – towards Cloud Manufacturing Systems (as a basis for CPS), in which quality and metrology represent integral parts of process optimization based on Taguchi model, and (б) Cyber-Physical Quality Model (CPQM) – our approach, in which we have developed and tested intelligent model for inspection planning on CMM (Coordinate Measuring Machine). The third research area directs our efforts to the development of framework for Cyber-Physical Manufacturing Metrology Model (CP3M). CP3M framework will be based on integration of digital product metrology information through metrology features recognition, and generation of global/local inspection plan for free-form surfaces; we will illustrate our approach using turbine blade example as a free form surfaces. This paper will present recent results of our research on CP3M.
In this paper, a detailed analysis of the current level of development of the CPM in context of Industry 4.0 model has been made in EU and globe. Also, we shell show some researches results from CP3M.
Prof. Dariusz Jacek Jakóbczak
Koszalin University of Technology, Poland
Speech Title: Reconstruction of Multidimensional Data on Intelligent Technology and Artificial Intelligence
Biography: Prof. Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.