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10/14/2015  |   3:15 PM - 4:00 PM   |  Pacific II

Operational Control of Creative 3D Assembly Using Crisp and Fuzzy Rules

This paper presents the design and development of a simulator for the operational control of creative 3D assembly. We model the creative 3D assembly as a moving agent, which generates a sequence of actions according to the scripts previously defined at any given domain. To guide or control the operation of the creative 3D assembly, we formulate logical rules represented as if-then rules into knowledge base, and construct various knowledge bases for a series of 3D assemblies in different settings. Given vague input variables, further, our system using fuzzy logic could be used to control fuzzy operations, for instance, steering, accelerating, and braking, which usually could happen in operational control settings. Our inference system for the operational control of creative 3D assembly made for science education then can be equipped with both crisp and fuzzy rules to be practical in real-world domains. We design and implement our simulator including programming blocks, which tests the operational control of 3D assemblies in simulated settings.

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Sanguk Noh (Primary Presenter), The Catholic University of Korea, sunoh@catholic.ac.kr;
Sanguk Noh received a B.S. in biology, an M.S. in computer science and engineering from Sogang University, Seoul, Korea, in 1987 and 1989, respectively, and a Ph.D. in computer science and engineering from the University of Texas, Arlington, TX, in 1999. He is currently a professor in the School of Computer Science and Information Engineering and a chair of Center for Intelligent Systems within the Joint Institute of Science and Technology at The Catholic University of Korea, Korea. He previously held research positions at the Agency for Defense Development, Korea (1989-1995), in the Center for Human-Computer Communication, Oregon Graduate Institute, Beaverton, OR (1999-2000), and was an assistant professor in the Department of Computer Science at the University of Missouri, Rolla, MO (2000-2002). His research interests include decision theory, multi-agent systems, knowledge management and engineering, machine learning and data mining, and intelligent inference systems.

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