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IEEE Conference on Decision and Control

作者： HongBo Li Mo-Yuen Chow ZengQi Sun Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Electrical and Computer Engineering Department North Carolina State University Raleigh NC USA

ISBN: (纸本)9781424431236

This paper addresses the optimization and stabilization problem for networked control systems (NCSs). The memoryless state feedback controller is considered, and the resulting closed-loop NCS is modeled as a discrete-time switch system. By defining a state-dependent Lyapunov function, the stability conditions are derived for NCSs in terms of linear matrix inequalities (LMIs). Based on the obtained stability conditions, the corresponding controller design problem is solved, and estimation of distribution algorithm (EDA) is used to select the optimal state feedback stabilizing gain. It is shown that the proposed method can be easily implemented to various applications, since it is simple and has no assumptions on time delays and packet losses. Simulation results are given to demonstrate the effectiveness of the proposed approach.

关键词： Networked control systems State feedback Switches Stability Lyapunov method Linear matrix inequalities Optimal control Algorithm design and analysis State estimation Electronic design automation and methodology

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Approximate Knowledge Mass and Extended Automation Reasoning System in Type II Topological Logic

Approximate Knowledge Mass and Extended Automation Reasoning...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Yalin Zheng Guang Yang Jing Zheng Peican Huang State Key Laboratory for Intelligent Technology and Systems Department of Automation Faculty of Information Science and Technology Tsinghua University Beijing China Research Center of Intelligent Information Technology Department of Computer Science and Technology Faculty of Software Dongguan University of Science and Technology Dongguan China Research Center of Dongguan Economy Department of Economy and Commerce Dongguan University of Science and Technology Dongguan China Research Center of Intelligent Information Technology Department of Computer Science and Technology Faculty of Software Dongguan University of Science and Technology Dongguan China

This paper introduces and investigate the type II true level k knowledge circle, extended type II knowledge base, extended type II automatic reasoning system and the level (k,j) perfectness of extended type II knowled... 详细信息

关键词： Automation Automatic logic units Fuzzy logic Fuzzy systems Information technology computer science Laboratories intelligent systems Information science Business

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Jeeva: Enterprise Grid Enabled Web Portal for Protein Secondary Structure Prediction

Jeeva: Enterprise Grid Enabled Web Portal for Protein Second...

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International Conference on Advanced Computing and Communications (ADCOM)

作者： Chao Jin Jayavardhana Gubbi Rajkumar Buyya Marimuthu Palaniswami Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne VIC Australia Department of Electrical and Electronic Engineering University of Melbourne Melbourne VIC Australia

This paper presents a grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise grid technology. The portal is used by research scientists to discover new prediction structures in a parallel manner. An SVM (support vector machine)-based prediction algorithm is used with 64 sample protein sequences as a case study to demonstrate the potential of enterprise grids.

关键词： Portals Protein engineering Grid computing Prediction algorithms Support vector machines Distributed computing Environmental management Chaos computer science History

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Advanced QoS methods for Grid workflows based on meta-negotiations and SLA-mappings

Advanced QoS methods for Grid workflows based on meta-negoti...

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Workshop on Workflows in Support of Large-Scale science, WORKS

作者： Ivona Brandic Dejan Music Schahram Dustdar Srikumar Venugopal Rajkumar Buyya Institute of Information Systems University of Technology Vienna Austria Grid Computing and Distributed System (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as quality of service (QoS), are satisfied. QoS is negotiated between two parties following the specific negotiation protocols and is recorded using service level agreements (SLAs). However, most of the existing work assumes that the communication partners know about the SLA negotiation protocols and about the SLA templates before entering the negotiation. However, this is a contradictory assumption, if we consider computational grids and novel, commercially oriented computing clouds where consumers and providers meet each other dynamically. In this paper, we present novel meta-negotiation and SLA-mapping solutions for grid workflows bridging the gap between current QoS models and grid workflows, one of the most successful grid programming paradigms. We illustrate the open research issues with a real world case study. Thereafter, we present document models for the specification of meta-negotiations and SLA-mappings. We discuss the architecture for the management of meta-negotiations and SLA-mappings as well as integration of the architecture into a grid workflow management framework.

关键词： Quality of service Protocols Grid computing Cloud computing Resource management Information systems Laboratories computer science software engineering Application software

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Tripartite Entanglement Transformations and Tensor Rank

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Physical Review Letters 2008年第14期101卷 140502-140502页

作者： Eric Chitambar Runyao Duan Yaoyun Shi Physics Department University of Michigan 450 Church Street Ann Arbor Michigan 48109-1040 USA State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China Department of Electrical Engineering and Computer Science University of Michigan 2260 Hayward Street Ann Arbor Michigan 48109-2121 USA

A basic question regarding quantum entangled states is whether one can be probabilistically converted to another through local operations and classical communication exclusively. While the answer for bipartite systems is known, we show that for tripartite systems, this question encodes some of the most challenging open problems in mathematics and computer science. In particular, we show that there is no easy general criterion to determine the feasibility, and in fact, the problem is NP hard. In addition, we find obtaining the most efficient algorithm for matrix multiplication to be precisely equivalent to determining the maximum rate to convert the Greenberger-Horne-Zeilinger state to a triangular distribution of three EPR states. Our results are based on connections between multipartite entanglement and tensor rank (also called Schmidt rank), a key concept in algebraic complexity theory.

关键词： Tensors

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Localization-oriented coverage based on Bayesian estimation in camera sensor networks

Localization-oriented coverage based on Bayesian estimation ...

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IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)

作者： Liang Liu Xi Zhang Huadong Ma Beijing Key Laboratory of Intelligent Telecomm Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection has been intensively studied, few considers the coverage problem from the perspective of target localization. In this paper, we investigate the coverage problem from the perspective of target localization for camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera. Then, we propose a new notion of localization-oriented coverage (L-coverage for short). We assume that all camera sensors make the measurements independent of other in the field, and these camera sensors can cooperate to make an accurate estimation for the location of the target. In addition, the relationships among L-coverage, 2-coverage, and the density of camera sensors are also discussed in this paper. The obtained results show that our model can be effectively deployed in many practical scenarios.

关键词： Cameras Sensors Bayesian methods Wireless sensor networks Distance measurement Noise Noise measurement

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Particle Swarm Optimization with Quantum Infusion for the design of digital filters

Particle Swarm Optimization with Quantum Infusion for the de...

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IEEE Swarm Intelligence Symposium, SIS

作者： Bipul Luitel Ganesh Kumar Venayagamoorthy The Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology Rolla MO USA Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters. In PSO-QI, Global best (gbest) particle (in PSO star topology) obtained from particle swarm optimization is enhanced by doing a tournament with an offspring produced by quantum behaved PSO, and selecting the winner as the new gbest. Filters are designed based on the best approximation to the ideal response by minimizing the maximum ripples in passband and stopband of the filter response. PSO-QI, as is shown in the paper, converges to a better fitness. This new algorithm is implemented in the design of finite impulse response (FIR) and infinite impulse response (IIR) filter.

关键词： Particle swarm optimization Digital filters Finite impulse response filter IIR filters Algorithm design and analysis Chebyshev approximation Frequency Passband Signal processing algorithms Band pass filters

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Camera Handoff with Adaptive Resource Management for Multi-camera Multi-target Surveillance

Camera Handoff with Adaptive Resource Management for Multi-c...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Chung-Hao Chen Yi Yao David Page Besma Abidi Andreas Koschan Mongi Abidi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN USA GE Global Research Center Niskayuna NY USA

Camera handoff is a crucial step to generate a continuously tracked and consistently labeled trajectory of the object of interest in multi-camera surveillance systems. Most existing camera handoff algorithms concentrate on data association, namely consistent labeling, where images of the same object are matched across different cameras. However, most real-time object tracking systems see a decrease in the system's frame rate as the number of tracked objects increases. To address this issue, we propose to incorporate an adaptive resource management mechanism into camera handoff. In so doing, cameras¿ resources can be dynamically allocated to multiple objects according to their priorities and hence the required minimum frame rate can be maintained. Experimental results illustrate that the proposed camera handoff algorithm is capable of maintaining a constant frame rate and of achieving a substantially improved handoff success rate by approximately 20% in comparison with the algorithm presented by Khan and Shah.

关键词： Resource management Surveillance Labeling Real time systems intelligent robots USA Councils Videoconference Robot vision systems Smart cameras Robot kinematics

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Economic load dispatch using bacterial foraging technique with particle swarm optimization biased evolution

Economic load dispatch using bacterial foraging technique wi...

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IEEE Swarm Intelligence Symposium, SIS

作者： Ahmed Y. Saber Ganesh K. Venayagamoorthy Department of Electrical and Computer Engineering King Abdulaziz University Jeddah Saudi Arabia Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology MO USA

This paper presents a novel modified bacterial foraging technique (BFT) to solve economic load dispatch (ELD) problems. BFT is already used for optimization problems, and performance of basic BFT for small problems with moderate dimension and searching space is satisfactory. Search space and complexity grow exponentially in scalable ELD problems, and the basic BFT is not suitable to solve the high dimensional ELD problems, as cells move randomly in basic BFT, and swarming is not sufficiently achieved by cell-to-cell attraction and repelling effects for ELD. However, chemotaxis, swimming, reproduction and elimination-dispersal steps of BFT are very promising. On the other hand, particles move toward promising locations depending on best values from memory and knowledge in particle swarm optimization (PSO). Therefore, best cell (or particle) biased velocity (vector) is added to the random velocity of BFT to reduce randomness in movement (evolution) and to increase swarming in the proposed method to solve ELD. Finally, a data set from a benchmark system is used to show the effectiveness of the proposed method and the results are compared with other methods.

关键词： Microorganisms Particle swarm optimization Power generation economics Space technology USA Councils Power system economics Optimization methods Gradient methods Neural networks Hopfield neural networks

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An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments

An information-driven framework for motion planning in robot...

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IEEE Conference on Decision and Control

作者： Rafael Fierro Silvia Ferrari Chenghui Cai MARHES Laboratory Electrical & Computer Engineering Department University of New Mexico Albuquerque NM USA Laboratory for Intelligent Systems and Controls Department of Mechanical Engineering & Materials Science Duke University Durham NC USA Postdoctoral Research Associate of Electrical and Computer Engineering Duke University Durham NC USA

ISBN: (纸本)9781424431236

A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. The sensing-pursuit problem is motivated by the Marco polo game, in which the pursuer Marco must capture multiple mobile targets that are sensed intermittently, and with very limited information. In this paper we extend the results in [1] by providing (i) a complexity analysis of the proposed cell decomposition planning algorithm, and (ii) a testbed that allows to experimentally verify the applicability of the proposed pursuit methodology.

关键词： Motion planning Robot sensing systems Sensor systems Robot kinematics Algorithm design and analysis Testing Computational geometry Monitoring Object detection Strategic planning

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