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作者： Ohtake, Hiroshi Tanaka, Kazuo Wang, Hua O. Department of Mechanical Information Science and Technology Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo 182-8585 Japan Department of Mechanical Engineering Boston University 110 Cummington Street Boston MA 02215 United States

ISBN: (纸本)9781457700804

This paper presents an improved approach to servo control for nonlinear systems with constraints on inputs and states using the fuzzy model-based control approach. In our previous paper, servo control based on error dynamics using error vector and input difference was proposed. Although the approach can achieve servo control with constraints on both of inputs and states, error dynamics with time-varying extra terms cannot be applied. In this paper, time-varying cancellation input is newly introduced. By using the cancellation input, servo control for error dynamics with time varying extra terms is achieved. We derive servo controller design conditions and constraint conditions on inputs and states in the form of LMI. Design examples illustrate the utility of this approach. © 2011 AACC American Automatic Control Council.

关键词： Errors

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Basis Pursuit in sensor networks

Basis Pursuit in sensor networks

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： João F. C. Mota João M. F. Xavier Pedro M. Q. Aguiar Markus Püschel Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh USA Institute of Systems and Robotics Instituto Superior Técnico Lisboa Portugal Department of Computer Science ETH Zurich Switzerland

Basis Pursuit (BP) finds a minimum ℓ 1 -norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracted attention because of its application in compressed sensing, where it is used to reconstruct signals by finding the sparsest solutions of linear systems. In this paper, we propose a distributed algorithm to solve BP. This means no central node is used for the processing and no node has access to all the data: the rows of M and the vector b are distributed over a set of interconnected compute nodes. A typical scenario is a sensor network. The novelty of our method is in using an optimal first-order method to solve an augmented Lagrangian-based reformulation of BP. We implemented our algorithm in a computer cluster, and show that it can solve problems that are too large to be stored in and processed by a single node.

关键词： Clustering algorithms Optimization computers Distributed algorithms Vectors Partitioning algorithms Eigenvalues and eigenfunctions

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Using a feedback system to enhance chart note quality in Electronic Health Records

Using a feedback system to enhance chart note quality in Ele...

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IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： King-Ip Lin Vivek Datla Linda Morrison Max Louwerse Department of Computer Science & Institute of Intelligent Systems University of Memphis Memphis TN USA Department of Education and Curriculum School of Medicine Southem Illinois University Springfield IL USA Department of Psychology & Institute of Intelligent Systems University of Memphis Memphis TN USA

We present an Electronic Health Record (EHR) system for recording chart notes during patient encounters, enhanced by the use of various feedback mechanisms like progress bars and alerts. The extensive use of various feedback mechanisms, which are not present in existing EHRs, leads to improved quality of chart notes. Our experiments show that alerts in the EHR can help enhance the quality of chart notes.

关键词： History Educational institutions Medical diagnostic imaging Data mining Hospitals Conferences

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A task allocation middleware targeting an RFID-enhanced environment

A task allocation middleware targeting an RFID-enhanced envi...

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IEEE International Conference on RFID-Technology and Applications (RFID-TA)

作者： A. Grosso M. Coccoli A. Boccalatte Luca Caviglione Department of Communications Computer and Systems Science University of Genoa Genova Italy Institute of Intelligent Systems for Automation (ISSIA) Italian National Research Council (CNR) Genova Italy

This paper presents a middleware for managing task allocation to agents (humans, robots, or software artifacts) operating in environments equipped with RFID technology. The system uses workflows and task decomposition techniques for preparing a task plan, and exploits the RFID technology for distributing and deploying the tasks within the environment. RFID tags are used for both labeling relevant objects and modeling the physical environment as a graph of deployed RFID tag nodes. The acquisition of new tasks and their distribution take place by means of the proposed infrastructure.

关键词： Resource management Middleware Robots Humans Context RFID tags

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A framework for the delivery of contents in RFID-driven smart environments

A framework for the delivery of contents in RFID-driven smar...

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IEEE International Conference on RFID-Technology and Applications (RFID-TA)

作者： Luca Caviglione Mauro Coccoli Alberto Grosso Institute of Intelligent Systems for Automation (ISSIA) Italian National Research Council (CNR) Genova Italy Department of Communications Computer and Systems Science University of Genoa Genova Italy

The increasing availability of sophisticated mobile network appliances, such as smartphones and PDAs (Personal Digital Assistants), jointly with the maturity and cost-effectiveness of Radio Frequency IDentification (RFID) technology, allow the rapid development of smart environments. This can dramatically increase the users experience enabling new interaction models. In this perspective, we present a framework to deploy RFID-driven smart environments to provide ad-hoc and personalized contents, to visitors in cultural settings (e.g., museums). The work showcases the architectural choices, from both the viewpoint of the needed hardware and the related interaction paradigm. Lastly, it also presents a preliminary performance evaluation to quantify the produced network traffic.

关键词： Radiofrequency identification Multimedia communication Streaming media Servers Home appliances Logic gates Ad hoc networks

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System design and implementation of social interactive robot Nancy

System design and implementation of social interactive robot...

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International Conference on Information sciences and Interaction sciences (ICIS)

作者： Shuzhi Sam Ge Chun Fui Liew Yanan Li Institute of Intelligent Systems University of Electronic Science and Technology Chengdu China Social Robotics Laboratory Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore

This paper presents a social interactive robot Nancy that has been developed in Social robotics Laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on social interaction and social intelligent system. The design objectives and consideration are examined in the beginning, followed by the description of hardware and software architectures. Contrast to current existing social robots, Nancy has a graphical user interface (GUI), which acts as an additional channel for human-robot interaction. This GUI helps users to have a better understanding of Nancy's internal states and hence make users feel more comfortable during the interaction with Nancy. Visitors' interaction experience with Nancy is discussed together with Nancy's social skills.

关键词： Robots Graphical user interfaces Servomotors Speech Universal Serial Bus Face Hardware

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Introduction

Communications and Control Engineering

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Communications and Control Engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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Evolutionary synthesis of cellular automata

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Journal of Computing and Information Technology 2011年第2期19卷 105-112页

作者： Zupanc, Jernej Filipič, Bogdan Faculty of Computer and Information Science University of Ljubljana Tržaška cesta 25 SI-1000 Ljubljana Slovenia Department of Intelligent Systems Jožef Stefan Institute Ljubljana Slovenia

Synthesis of cellular automata is an important area of modeling and describing complex systems. Large amounts of combinations and candidate solutions render the usage of deterministic approaches impractical and thus nondeterministic optimization methods have to be employed. Two of the typical evolutionary approaches to synthesizing cellular automata are the evolution of a single automaton and a genetic algorithm that evolves a population of automata. The first approach, with addition of some heuristics, is known as the cellular programming algorithm. In this paper we address the second approach and develop a genetic algorithm that evolves a population of cellular automata. We test both approaches on the density classification task, which is one of the most widely studied computational problems in the context of evolving cellular automata. Comparison of the synthesized cellular automata demonstrates unexpected similarity of the evolved rules and comparable classification accuracy performance of both approaches.

关键词： Cellular automata

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INS/EKF-based stride length, height and direction intent detection for walking assistance robots

INS/EKF-based stride length, height and direction intent det...

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IEEE International Conference on Rehabilitation robotics (ICORR)

作者： Dario Brescianini Jun-Young Jung In-Hun Jang Hyun Sub Park Robert Riener Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland Department of Intelligent Robotics University of Science and Technology Daejeon South Korea Division of Applied Robot Technology Korea Institute of Industrial and Technology Ansan South Korea Spinal Cord Injury Center University Hospital Balgrist Zurich Switzerland Sensory-Motor Systems Laboratory Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland

We propose an algorithm used to obtain the information on stride length, height difference, and direction based on user's intent during walking. For exoskeleton robots used to assist paraplegic patients' walking, this information is used to generate gait patterns by themselves in on-line. To obtain this information, we attach an inertial measurement unit(IMU) on crutches and apply an extended kalman filter-based error correction method to reduce the phenomena of drift due to bias of the IMU. The proposed method is verifed in real walking scenarios including walking, climbing up-stairs, and changing direction of walking with normal.

关键词： Legged locomotion Trajectory Exoskeletons Navigation Measurement uncertainty Robot sensing systems

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Complex emotion categorization and tagging for Chinese

Complex emotion categorization and tagging for Chinese

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IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE)

作者： Peilin Jiang Fuji Ren Fei Wang Nanning Zheng Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China Graduate School of Advanced Technology and Science University of Tokushima Tokushima Japan Department of Information Science & Intelligent Systems University of Tokushima Tokushima Japan

To understand emotion and make machine emotion is one of the goals of affective computing. In order to understand language from interface of machine, both the meaning and the emotion are necessary to be interpreted correctly. But until now the study of fine-grained theory of emotion is still full of challenges. In this paper, a novel method to analyze emotion category is proposed according to the statistics of affective word hierarchy in Dictionary of contemporary Chinese. The emotion hierarchy is called complex emotion. Firstly, over 7,000 common affective words have be annotated and their detailed explanations had been collected for an affective lexicon, then we analyze the consistent relationship in the affective lexicon and consequently 52 salient complex emotion state hierarchies are categorized and tagged by a lexical affective clustering algorithm. The complex emotions are compared to the traditional definitions of basic emotions in psychology and have been evaluated to be valid by kappa value in the experiment. Moreover we also have tagged the semantic orientation for the collected words.

关键词： Psychology Dictionaries Educational institutions Semantics Clustering algorithms Tagging Presses

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