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2016 International Conference on Advances in Human Machine Interaction, HMI 2016 2016年

作者： Nagaraja, Ch. Swamy, J. Nagendra Rajendra, J. Khan, M.S. Vishwanath Reddy, D.S. Manjunath, N. Dillmann, Ruediger Tarn, Tzyh Jong Zhao, Qianchuan Ammi, Mehdi Zuberek, Wlodek M. Sandhu, P.S. Patthira Newman, K. De Silva Liyanage, Chandratilak Hassan, Sohair Aly Aly Sun, Kien Wen Rahman, Md. Moshiur Ordoño, E. Evangelista Sharma, R.K. Mishra, Preeti Chandel, B.S. Singla, Ekta Petric, Tadej Zhong, Yu Jiglar, Janson Alemzadeh, Kazem Asokan, T. Tripathi, Animesh Tripathi, Manoj Ram, Swaminath Shrma, M.K. Panday, P.N. Kumar, Devendra Hinchey, Mike Stilman, Boris Suraj, Zbigniew Pal, Sankar K. Sasi, Sreela Rajan, Deepu Marshall, Roger G. Abraham, Ajith Peter S, David Paul, Vargheese Gopakumar, V. Dustdar, Schahram Soto, Sebastián Ventura Rausch, Andreas Angelis, Lefteris Nelson, Andrew L. Botzheim, Janos Bernardino, Heder Soares Zboril, Frantisek Ane, Bernadetta Kwintiana Maeda, Toshiyuki Sakalauskas, Virgilijus Hann, Garenth Lim King Samek, Jan Romero Salguero, José Raúl Varghese, Kuruvilla Kriksciuniene, Dalia Mathew, Jimson Reif, Wolfgang Mauri, Giancarlo Cabrerizo Lorite, Francisco Javier Özcan, Ender Cho, Sung-Bae Paily, Roy P. Rezankova, Hana Tudjarov, Boris Hong, Wei-Chiang De Oliveira, José Valente Flores Romero, Juan Jose Oskouei, Rozita Jamili Cicchetti, Antonio Roy, Chanchal Segura, Sergio Samuel, C. Mallet, Frédéric Mernik, Marjan Punnekkat, Sasikumar Waseemulla, A. Sri Devaraj Urs Educational Trust Bangalore India R. L. Jalappa Institute of Technology Doddaballapur Bangalore India Humanoids and Intelligence Systems Lab Kalsruhe Germany Electrical and Systems Engineering Washington University in St. Louis United States Deputy Director of Center for Intelligent and Networked Systems Department of Automation Tsinghua University Beijing China Department of Computer Science CNRS/LIMSI Lab AMI Group France Memorial University St. John'sNL Canada RBIT and Bio-Technology India LR University Thailand University of Colorado at Boulder Boulder United States Faculty of Science University of Brunei Brunei University of Kuala Lumpur Malaysia National Chiao Tung University Taiwan EPR Centre Bangladesh Mapua Institute of Technology Philippines ARO CWC Lucknow India Mpec Kanpur India DSC DBS Kanpu India Indian Institute of Technology Ropar India Jozaf Stefan Institute Department of Automation Biocyernetics and Robotics Ljubljana Slovenia Robotics Institute Carnegie Mellon University Pittsburgh United States Faculty of Engineering University of Bristol United Kingdom Department of Engineering Design Indian Institute of Technology Madras India Lucknow Uni Lucknow India CSJM Uni Kanpur India UPPCB Lucknow India PCB Roorkee India Awadh Uni Faijabad India Agra Uni Agra India Lero University of Limerick Ireland University of Colorado Denver United States University of Rzeszow Poland Indian Statistical Institute Kolkata India Gannon University PA United States Nanyang Technical University Singapore Singapore Plymouth State University NH United States MIR Labs United States Cochin University of Science and Technology India State Project Facilitation Unit TEQIP Kerala India Technical University of Vienna Austria University of Cordoba Spain Clausthal University of Technology Germany Aristotle University of Thessaloniki Greece Androtics LLC TucsonAZ United States Tokyo Metropolitan University Japan Federal Unive

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Characteristics of a monolithically integrated micro-displacement sensor

Characteristics of a monolithically integrated micro-displac...

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14th Joint International IMEKO TC1, TC7, TC13 Symposium on intelligent Quality Measurements - Theory, Education and Training 2011, Held in Conjunction with the 56th IWK Ilmenau University of Technology

作者： Takeshita, Toshihiro Peng, Yao Morita, Nobutomo Ando, Hideyuki Higurashi, Eiji Sawada, Renshi Graduate School of Systems Life Sciences Kyushu University 744 Motooka 819-0395 nishi-ku Fukuoka-city Japan Fuzzy Logic Systems Institute 680-41 Kawazu Iizuka-city Fukuoka Japan Research Center for Advanced Science and Technology Tokyo University 4-6-1 Komaba 153-8904 Meguro Tokyo Japan Department of Intelligent Machinery and Systems Kyushu University 744 Motooka 819-0395 nishi-ku Fukuoka-city Japan

ISBN: (纸本)9781618393067

The authors report on the development of an optical ultra-micro- displacement sensor with a simple structure that is 3.0 x 3.0 mm square and 1.3 mm thick, and fabricated using MEMS technology. The displacement sensor only consists of a vertical cavity surface emitting laser (VCSEL), eight two-dimensional monolithically integrated photodiodes (PDs), a frame and a cover glass. The sensor principle is laser triangulation. With the eight PDs arranged in concentric circles around the VCSEL, the influences of mirror tilt and changes in mirror reflectivity are expected to be eliminated. This sensor can measure linear displacement within an accuracy of 0.856 % F.S. at 200 μm, and 1.11 % F.S. at 500 μm. Moreover, when the tilt of the object being measured is less than 0.6°, the influence of the tilt can be ignored to some extent. In this paper, we present our method for measuring the mirror displacement and removing any influences of mirror tilt and change in mirror reflectivity.

关键词： Surface emitting lasers

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MICAI 2010 Organization and Conference Committee

Proceedings of Special Session - 9th Mexican International C...

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Proceedings of Special Session - 9th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence and Applications, MICAI 2010 2010年 viii页

作者： Reyes-García, Carlos Alberto Sidorov, Grigori Hernández-Aguirre, Arturo Arroyo, Gustavo Murrieta, Rafael Gonzalez, Jesus A. Gonzalez, Miguel Herrera, Oscar Peña, Alejandro Espinoza, Félix A. Castro Cansino, Joel Suárez Galicia-Haro, Sofia N. Koeppen, Mario Reyes-García, Carlos A. Monroy, Raul Gelbukh, Alexander Mezura-Montes, Efrén Leguizamón, Guillermo Ramírez-Manzanares, Alonso Castillo, Oscar Fuentes, Olac Sánchez, Gildardo Natural Language Processing Mexico Machine Learning and Pattern Recognition Mexico Hybrid Intelligent Systems and Neural Networks Mexico Logic Reasoning Ontologies Knowledge Mgmt. Knowledge-Based Syst. Multi-agent Syst. Mexico Data Mining Mexico Intelligent Tutoring Systems Mexico Evolutionary Algorithms and Other Naturally Inspired Algorithms Mexico Computer Vision and Image Processing Mexico Fuzzy Logic Uncertainty and Probabilistic Reasoning Mexico Bioinformatics and Medical Applications Mexico Robotics Planning and Scheduling Mexico

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Development of a micro displacement sensor with monolithic-integrated two-dimensionally distributed photodiodes

Development of a micro displacement sensor with monolithic-i...

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IEEE/LEOS International Conference on Optical MEMS

作者： M. Inokuchi H. Ando M. Kinosita K. Akase Eiji Higurashi R. Sawada Department of Intelligent Machinery and Systems Kyushu University Fukuoka Japan Fuzzy Logic Systems Institute Kitakyushu Japan Research Center for Advanced Science and Technology University of Tokyo Meguro Tokyo Japan

We have developed an ultra-micro displacement sensor (Size:1.3 mmtimes1.3 mmtimes1.3 mm) consisting of two-dimensionally distributed monolithically integrated photodiodes (PD) and a vertical cavity surface emitting laser (VCSEL). The sensor size is not only very small, about one hundredth the size of conventional types of this sensor, but it also has a wider measurement range and discrimination of the external mirror shape can be enabled.

关键词： Photodiodes Mirrors Vertical cavity surface emitting lasers Semiconductor device measurement Shape measurement Position measurement intelligent sensors Motion measurement Displacement measurement Equations

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A Study On Iterative Learning Control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

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Asian Journal of Control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

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fuzzy logic and intelligent agents

Fuzzy logic and intelligent agents

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IEEE International Conference on fuzzy systems (FUZZ-IEEE)

作者： J. Yen M.S. El-Nasr T.R. Ioerger Center for Fuzzy Logic Robotics and Intelligent Systems Department of Computer Science Texas A and M University College Station TX USA

intelligent agents are software modules that can interact with its external environment in an autonomous fashion to achieve its goals. fuzzy logic can play a major role in an intelligent agent for reasoning about the dynamic environment. FLAME (fuzzy logic adaptive model of emotions) is a new computational model of emotions that can be incorporated into intelligent agents and other complex, interactive programs.

关键词： fuzzy logic intelligent agent Fires Control systems Decision making intelligent robots Space technology Space exploration Humans Artificial intelligence

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A measure of linguistic specificity

A measure of linguistic specificity

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IEEE International Conference on fuzzy systems (FUZZ-IEEE)

作者： C.D. Butler J. Yen Corps of Engineers Engineers Research and Development Center Vicksburg MS USA Center for Fuzzy Logic Robotics and Intelligent Systems Department of Computer Science Texas A and M University College Station TX USA

Understanding the level of uncertainty associated with a prediction is valuable in determining its utility in decision making. One measure of information is Yager's notion of specificity. Yager views specificity as the degree to which a possibility distribution points to a single element in the universe of discourse (U). Specificity in relation to U may complicate its utility in the optimization of fuzzy models in their linguistic space. An increase in granularity is useful to measure the amount of information contained in a possibility distribution in relation to fuzzy sets as opposed to U. This abstracted view of specificity motivates the need for a more generalized version of specificity, denoted linguistic specificity (Sp/sub 1/), where alternatives are measured in relation to the linguistic terms. Such a generalization is useful in support of automating decisions in a fuzzy domain. Results of the linguistic specificity measure are illustrated using an automobile fuel consumption example.

关键词： Entropy Decision making Probability distribution fuzzy sets intelligent robots Research and development fuzzy logic Orbital robotics robotics and automation intelligent systems

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A linguistic approach to specificity

A linguistic approach to specificity

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Conference of the North American fuzzy Information Processing Society - NAFIPS

作者： C.D. Butler J. Yen U.S. Army Engineer Waterways Experimental Station Vicksburg MS USA Center for Fuzzy Logic Robotics and Intelligent Systems Department of Computer Science Texas A and M University College Station TX USA

Understanding the level of uncertainty associated with a prediction is valuable in determining its utility in decision making. One measure of information is R.R. Yager's (1982) notion of specificity. Yager views specificity as the degree to which a possibility distribution points to a single element in the universe of discourse (U). Specificity in relation to U may complicate its utility in the optimization of fuzzy models in their linguistic space. An increase in granularity is useful to measure the amount of information contained in a possibility distribution in relation to fuzzy sets as opposed to U. This abstracted view of specificity motivates the need for a more generalized version of specificity, denoted linguistic specificity (Sp/sub L/), where alternatives are measured in relation to the linguistic terms. Such a generalization is useful in support of automating decisions in a fuzzy domain. Results of the linguistic specificity measure are illustrated using an automobile fuel consumption example.

关键词： Entropy Decision making Probability distribution intelligent robots Automobiles Fuels fuzzy sets fuzzy logic intelligent systems Computer science

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fuzzy Modeling with Local and Global Objectives

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Journal of Advanced Computational Intelligence and intelligent Informatics 1999年第5期3卷 373-385页

作者： Yen, John Gillespie, Wayne Center for Fuzzy Logic Robotics and Intelligent Systems Texas A&M University College StationTX77843-3112 United States Department of Computet Science Texas A&M University College StationTX77843-3112 United States DDMS Inc. Texas city77590 United States

Most of the techniques for constructing fuzzy models from data focus only on minimizing the error between the model's output and the training data;however, these approaches may result in a fuzzy model where individual rules are misleading. The goal of our research is to develop a scheme for identifying Takagi-Sugeno-Kang (TSK) models whose individual rules approximate the training data covered by a single rule, local fitness, while the entire model approximates the whole training set, global fitness. We propose an approach that is a modification of a current method for estimating the consequence portion of a TSK model with predefined membership functions. Then we propose a method for developing membership functions which partition the input space into regions that are more easily modeled in the TSK framework to provide consistent local behavior for all the rules of the model. This approach ensures that a TSK model constructed not only approximates the input-output mapping relationship in the data, but also captures insights about the local behavior of the model. © Fuji Technology Press Ltd. Creative Commons CC BY-ND: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NoDerivatives 4.0 International License (http://***/licenses/by-nd/4.0/).

关键词： Membership functions

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A framework for the choices of design alternatives

A framework for the choices of design alternatives

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1998 IEEE International Conference on fuzzy systems, fuzzy 1998

作者： Tiao, W. Amos Yen, John Center for Fuzzy Logic Robotics and Intelligent Systems Department of Computer Science Texas A and M University College StationTX77843-3112 United States

ISBN: (纸本)078034863X

A software design process is to build a system that satisfies the customer's requirements which are often not crisply defined. Thus, design engineers often need to make design trade-off decisions to choose a set of design alternatives that satisfies the requirements as much as possible. In this paper, we propose a formal framework to assist design engineers in choosing design alternatives. Our approach uses fuzzy logic to represent quality requirements and design alternatives. Based on the representations, we can identify the impacts of design alternatives on requirements, infer the implicit impacts through hierarchical structures, and assist design engineers in the determination of a set of design alternatives. The goal of this research is to guide design engineers in evaluating design alternatives, to reduce design errors, to facilitate design rationale capture, and to build a system that better satisfies the customer. © 1998 IEEE.

关键词： fuzzy logic

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