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Conflict resolution for collaborative design based on rough set theory

Conflict resolution for collaborative design based on rough ...

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International Conference on computer Supported Cooperative Work in Design

作者： Jun Ma Tian-Yuan Xiao Jian-Chao Zeng Ma Hao Department of Automation National CIMS Engineering Research Center Tsinghua University Beijing China School of Computer Science and Technology Taiyuan University of Science and Technology Taiyuan China North Automatic Control Technology Institute Taiyuan China

ISBN: (纸本)9781424416509

Due to the design knowledge discrepancy during collaborative design, conflicts can be revealed from the process of collaborative design decision. A critical element of collaborative design would be conflict resolution. The conflict resolution is correlative with both of the knowledge granulation and specific method provided. In this paper, granularity is used to describe rules acquainted based on the concept of rough degree. In this condition, A feasible distance formula between different rules is constructed according to the requirement of describing the distance between different rules and the definition of attribute significance in information system with rough theory, in which the operator of attribute importance is introduced, and then traditional conflict resolutions are analyzed. As a result, the concept of rule set evolution is put forward, and the instance is introduced to explain the efficiency of new method.

关键词： Collaboration Set theory Collaborative work Process design Design methodology Product design Phase detection Knowledge management Space technology Design automation

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Multiple Heterogeneous Ant Colonies with Information Exchange

Multiple Heterogeneous Ant Colonies with Information Exchang...

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Congress on Evolutionary Computation

作者： Arash Arami Bijan Rahmizadeh Rofoee Caro Lucas Control and Intelligent Processing Center of Excellence (CIPCE) school of Electrical and Computer Engineering University of Tehran Tehran Iran Electrical and Computer Engineering Department Tabriz University Tabriz Iran School of Cognitive Science Institute of Studies in Theoretical Physics and Mathematics Tehran Iran CIPCE school of Electrical and Computer Engineering University of Tehran Tehran Iran

The method of multiple heterogeneous ant colonies with information exchange (MHACIE) is presented in this paper with emphasis on the speed of finding the optimal solution and the corresponding computational complexity. The proposed method which is inspired by biology and psychology has a structure composed of several ant colonies. These colonies participate in solving problems in a concurrently manner and also exchange information with each other in communicational steps. Each ant colony is considered as an intelligent agent with behavioral traits. These behavioral traits play a key role in the solving procedure, in interrelation circumstances and in installation of relations. Faster solutions have been achieved using different employments of agents in the algorithm structure. Experimental results show the superiority of Multiple heterogeneous ant colonies algorithm in comparison to the standard ant colony system (ACS) and particle swarm optimization (PSO) algorithms on different benchmarks. A dynamic, control engineering benchmark is also provided in order to gain a more complete evaluation of the proposed algorithm.

关键词： Benchmark testing Evolution (biology) Optimization Heuristic algorithms Evolutionary computation Electronic mail Educational institutions

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An EEG-based subject- and session-independent drowsiness detection

An EEG-based subject- and session-independent drowsiness det...

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International Joint Conference on Neural Networks (IJCNN)

作者： Chin-Teng Lin Nikhil R. Pal Chien-Yao Chuang Tzyy-Ping Jung Li-Wei Ko Sheng-Fu Liang Department of Electrical & Control Engineering and Brain Research Center National Chiao Tung University Hsinchu Taiwan Department of Brain Research Center National Chiao Tung University Calcutta India Department of Brain Research Center National Chiao Tung University Taiwan Department of Electrical & Control Engineering and Brain Research Center National Chiao-Tung University and Institute for Neural Computation University of California San Diego La Jolla CA USA Department of Electrical & Control Engineering and Brain Research Center National Chiao Tung University Taiwan Department of Brain Research Center National Chiao-Tung University and the Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

Monitoring and predicting human cognitive state and performance using physiological signals such as Electroencephalogram (EEG) have recently gained increasing attention in the fields of brain-computer interface and cognitive neuroscience. Most previous psychophysiological studies of cognitive changes have attempted to use the same model for all subjects. However, the relatively large individual variability in EEG dynamics relating to loss of alertness suggests that for many operators, group statistics cannot be used to accurately predict changes in cognitive states. Attempts have also been made to build a subject-dependent model for each individual based on his/her pilot data to account for individual variability. However, such methods assume the cross-session variability in EEG dynamics to be negligible, which could be problematic due to electrode displacements, environmental noises, and skin-electrode impedance. Here first we show that the EEG power in the alpha and theta bands are strongly correlated with changes in the subjectpsilas cognitive state reflected through his driving performance and hence his departure from alertness. Then under very mild and realistic assumptions we derive a model for the alert state of the person using EEG power in the alpha and theta bands. We demonstrate that deviations (computed by Mahalanobis distance) of the EEG power in the alpha and theta bands from the corresponding alert models are correlated to the changes in the driving performance. Finally, for detection of drowsiness we use a linear combination of deviations of the EEG power in the alpha band and theta band from the respective alert models that best correlates with subjectpsilas changing level of alertness, indexed by subjectpsilas behavioral response in the driving task. This approach could lead to a practical system for noninvasive monitoring of the cognitive state of human operators in attention-critical settings.

关键词： Electroencephalography Brain modeling Brain models Distance measurement Correlation Spectral analysis Data models

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On iterative learning control for simultaneous force/position trajectory tracking by using a 5 D.O.F. robotic thumb under non-holonomic rolling constraints

On iterative learning control for simultaneous force/positio...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Kenji Tahara Suguru Arimoto Masahiro Sekimoto Morio Yoshida Zhi-Wei Luo Organization for the Promotion of Advenced Research Kyushu University Fukuoka Japan Bio Mimetic Control Research Center RIKEN Nagoya Japan Research Organizationof Scinece and Engineering Ritsumeikan University Kusatsu Japan Department of Computer Science and Systems Engineering Kobe University Kobe Japan

This paper proposes an iterative learning control method for simultaneous force/position tracking tasks by using a 5 D.O.F. robotic thumb under non-holonomic rolling constraints. In our previous works, "blind touching", which is defined as a point-to-point control scheme for the robot to realize a desired contact position and a contact force simultaneously without any external sensing, have proposed. In this paper, an iterative learning control manner to realize a desired continuous trajectory of the center of the contact point together with a desired contact force on the task plane is proposed. The usefulness of this learning control method is demonstrated by showing results of computer simulations.

关键词： Force control Trajectory Thumb Deformable models Robot sensing systems Optimal control Robotics and automation Automatic control Iterative methods Position control

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Electrical characteristics of the back-gated bottom-up silicon nanowire field effect transistor

Electrical characteristics of the back-gated bottom-up silic...

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IEEE Silicon Nanoelectronics Workshop (SNW)

作者： DukSoo Kim YoungChai Jung MiYoung Park ByungSung Kim SuHeon Hong MinSu Choi MyungGil Kang YunSeop Yu DongMok Whang SungWoo Hwang Research Center for Time-domain Nano-functional Devices Korea University Seoul Sungbuk Korea Department of Material Science Engineering Sungkyunkwan University Jangan Suwon Gyonggi Korea Department of Information and Computer Sciences Hangyong University Ansan Gyeonggi South Korea Department of Information & Control Engineering Hankyong National University Korea

We report electrical characteristics of back-gated silicon nanowire field effect transistors (SNWFETs) fabricated using silicon nanowires synthesized by a standard vapor-liquid-solid process. It is shown that the mobi... 详细信息

ISBN: (纸本)9781424420711

关键词： Electric variables Silicon FETs Nanoscale devices Doping Gold Voltage Intrusion detection Time domain analysis Transconductance

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On iterative parameter estimation algorithms for OE and OEMA systems

On iterative parameter estimation algorithms for OE and OEMA...

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2008 IEEE Instrumentation and Measurement Technology Conference (I2MTC 2008), vol.4

作者： Feng Ding Peter X. Liu Control Science and Engineering Research Center Jiangnan University Wuxi China Department of Systems and Computer Engineering Carleton University Ottawa Canada

Two iterative identification algorithms, a gradient and a least-squares based, are developed for output error (OE) and output error moving average (OEMA) systems. Compared with recursive approaches, these two off-line iterative algorithms use all the measured input-output data at each iterative computation (at each iteration), and thus can produce highly accurate parameter estimation. The basic idea of the iterative methods proposed is to adopt the interactive estimation theory: the parameter estimates relying on unknown variables are computed by using the estimates of these unknown variables which are obtained from the preceding parameter estimates. The simulation results confirm theoretical findings.

关键词： Recursive identification parameter estimation least squares stochastic gradient iteration output error models

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On consistency of multi-innovation extended stochastic gradient algorithms with colored noises

On consistency of multi-innovation extended stochastic gradi...

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2008 IEEE Instrumentation and Measurement Technology Conference (I2MTC 2008), vol.4

作者： Li Yu Feng Ding Peter X. Liu Control Science and Engineering Research Center Jiangnan University Wuxi China Department of Systems and Computer Engineering Carleton University Ottawa Canada

This paper applies the multi-innovation identification theory to study the parameter estimation problem for CARMA models, and presents the multi-innovation extended stochastic gradient algorithm by expanding the scalar innovation to an innovation vector, and analyzes and proves the convergence properties of the algorithms involved. The simulation results show that the proposed algorithms are effective.

关键词： Parameter estimation multi-innovation identification stochastic gradient convergence properties martingale convergence theorem

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Hierarchical least squares parameter estimation algorithms for dual-rate sampled-data systems

Hierarchical least squares parameter estimation algorithms f...

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2008 IEEE Instrumentation and Measurement Technology Conference (I2MTC 2008), vol.2

作者： Jie Ding Feng Ding Peter X. Liu Control Science and Engineering Research Center Jiangnan University Wuxi China Department of Systems and Computer Engineering Carleton University Ottawa Canada

In this paper, we combine the hierarchical identification principle with the least square algorithm to identify the parameters of dual-rate sampled-data systems. The hierarchical identification principle is to decompose the identification model of dual-rate systems to several identification sub-models with smaller dimensions and fewer parameters to be estimated, and to present the hierarchical least squares identification algorithm with less computation efforts. We prove the convergence of the algorithm proposed. The simulation example is included.

关键词： Recursive identification parameter estimation dual-rate systems least squares convergence properties

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Multi-innovation least squares parameter estimation algorithms for stochastic regression models

Multi-innovation least squares parameter estimation algorith...

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2008 IEEE Instrumentation and Measurement Technology Conference (I2MTC 2008), vol.3

作者： Feng Ding Peter X. Liu Control Science and Engineering Research Center Jiangnan University Wuxi China Department of Systems and Computer Engineering Carleton University Ottawa Canada

A multi-innovation least-squares (MILS) identification algorithm is presented for linear regression models with unknown parameter vectors by extending the conventional standard least-squares (LS) algorithm from the viewpoint of innovation modification. Because the proposed MILS algorithms use p innovations at each iteration (the integer p > 1 being an innovation length), the accuracy of parameter estimation is improved compared with the standard LS algorithm. The performance analysis and simulation results show that the proposed MILS algorithm is consistently convergent. Moreover, we introduce a new interval-varying MILS algorithm, for which the key is to change the interval dynamically, in order to deal with cases where some sampled data are missing. Further, we derive an auxiliary model based MILS for output error moving average systems with colored noises. The simulation results of an ARX system is included.

关键词： Recursive identification parameter estimation least squares multi-innovation identification convergence properties stochastic processes

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engineering education societies becoming global

Engineering education societies becoming global

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2008 ASEE Annual Conference and Exposition

作者： Morell, Lueny Borri, Claudio Rajala, Sarah Ramakrishna, Seeran Quadrado, Jose Carlos Petrie, Maria M. Larrondo Fraser, Duncan Laporte, Bruno Garboan, Adriana Fouger, Xavier Hoyer, Hans Hewlett-Packard Department of Chemical Engineering University of Puerto Rico Mayagüez Puerto Rico Universita' di Firenze Department of Computational Mechanics of Structures University of Florence Italy SEFI IFEES Within Socrates II Mississippi State University Department of Electrical and Computer Engineering Mississippi State University National University of Singapore Instituto Superior de Engenharia de Lisboa Portugal ISEL Research and Project Center on Electrical Machines Control and Applications Florida Atlantic University Academic and International Affairs for the College of Engineering and Computer Science Florida Atlantic University International Federation of Engineering Education Societies Latin American and Caribbean Consortium of Engineering Institutions University of Cape Town Academic Development Faculty of Engineering and the Built Environment UCT World Bank Human Development Development Group World Bank Institute Politechnica University of Bucharest Politehnica University of Bucharest Faculty of Electronics and Telecommunications Dassault Systemes Dassault Systemes Global Learning Leads the PLM Academy American Society for Engineering Education International Programs and Strategy ASEE

Globalization is making both developed and developing countries think about effective and efficient strategies that will advance their economies and social development. Throughout the history of civilization, engineering has played a critical role in economic development. Engineers are key not only in solving local problems but also in knowledge creation and knowledge transfer. Thus, it is imperative that technical know-how be supplemented with professional skills to develop an 'adaptive leader' who is capable of addressing the multiple challenges of an ever changing world. The key-question posed by the 21st century global economy to engineering educators and stake-holders is this: "How can education in science and technology help to reduce poverty, boost socio-economic development, and take the right decisions for sustainable and environmental compatible development?" To answer these questions, a global approach is needed: and this can only be accomplished by a "team" which has its roots in all regions of the world, i.e. which is enabled to think globally and then act locally. There's a need to establish effective engineering education processes of high quality around the world to assure a global supply of well-prepared engineering graduates. This paper describes the reasons for the creation in October 2006 of IFEES - the International Federation of engineering Education Societies. It will describe the vision, mission, and key strategies of IFEES. It will also describe some of the initiatives currently underway and how the various engineering education stakeholders can leverage and benefit from engaging with IFEES, thus strengthening the organizational capacity of engineering education societies throughout the world. The paper will share plans to help members learn from each other's best practices and even failures and how those organizations that have been in existence for quite some time (ASEE was founded in the late 19th century) can contribute to the institutio

关键词： engineering education

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