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IEEE Conference on control Technology and Applications (CCTA)

作者： Chee Khiang Pang Jun-Hong Zhou Zhao-Wei Zhong Frank L. Lewis Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore ASTAR Singapore Institute of Manufacturing Technology Singapore Singapore School of Mechanical and AeroSpace Engineering Nanyang Technological University Singapore Singapore Automation & Robotics Research Institute University of Texas Arlington Fort Worth TX USA

Identification and online prediction of lifetime of cutting tools using cheap sensors is crucial to reduce production costs and down-time in industrial machines. In this paper, we use the acoustic emission from an embedded sensor for computation of features and prediction of tool wear. A reduced feature subset which is optimal in both estimation and clustering least square errors is then selected using a new Dominant Feature Identification (DFI) algorithm to reduce signal processing and number of sensors required. Tool wear is then predicted using an ARMAX model based on the reduced features. Our experimental results on a ball nose cutter in a high speed milling machine show a reduction in 16.83% in mean relative error when compared to other methods proposed in the literature.

关键词： Predictive models Force Principal component analysis Sensors Approximation methods Vectors Machining

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Gossip-based supervision for wireless autonomic networks and services

Gossip-based supervision for wireless autonomic networks and...

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International Conference on Emerging Technologies, ICET

作者： Fiaz Gul Khan Moiso Corrado Bartolomeo Montrucchio Aamir Saeed Department of Control and Computer Engineering Politecnico di Torino Turin Italy Telecom Italia Research Laboratories Laboratory Turin Italy COMSATS Institute of Information Technology - Attock Campus Attock Punjab PK

Free riding is among the fundamental issue that P2P systems are facing. Large populations, high turnover, asymmetry of interest, collusion, zero-cost identities, and traitors; makes this issue further challenging. To tackle these challenges we proposed a cluster based gossiping protocol for P2P system in order to overcome the “tragedy of common” or lack of cooperation (free riding) among nodes. Our System detects the selfish nodes in a system by maintaining a reputation index of the nodes. Cluster based gossiping is distributed supervision approach based on self organization of autonomic components. Through simulation, we show that our technique can drive a system to nearly optimal levels of cooperation.

关键词： Peer to peer computing History Indexes Magnetic heads Clouds Servers Protocols

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Energy-optimized secure remote fingerprint authentication in a mobile environment

Energy-optimized secure remote fingerprint authentication in...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Seungwoo Hong Sungju Lee Yongwha Chung Hakil Kim Sungbum Pan Human ID Research Team Electronics and Telecommunications Research Institute South Korea Human ID Research Team Dept. of Computer and Information Science Korea University South Korea Dept. of Computer and Information Science Korea University Dent. of Information and Communication Engineering Biometrics Engineering Research Center Inha University South Korea Dept. Control Instrumentation and Robot Engineering Chosun University South of Korea

ISBN: (纸本)9781424443147

To optimize the energy consumption during transmission in a secure remote fingerprint authentication system, most approaches have considered a fixed-rate compression of WSQ(Wavelet Scalar Quantization). To balance the energy consumption and the recognition accuracy, however, we need to consider the total energy consumption during compression/encryption/transmission and the quality of the given image. In this paper, we first develop an energy-accuracy prediction model. Then, from the given image, we can evaluate the quality of it. Finally, from the user's minimum requirement of the recognition accuracy, the energy-optimized compression rate under the requirement can be derived adaptively. Based on the experimental result, we show that total energy consumption of the fixed approach can be reduced by 29%.

关键词： Fingerprint recognition Authentication Image coding Image matching Energy consumption Handheld computers Cryptography Power engineering and energy Image recognition Biometrics

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control design for impedance model with feedback delay

Control design for impedance model with feedback delay

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IEEE International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD)

作者： Péter Galambos Péter Baranyi Hungarian Academy of Sciences Computer and Automation Research Institute Budapest Hungary Department of Manufacturing Science and Technology Budapest University of Technology and Economics Hungary Department of Mechatronics Optics and Information Engineering Budapest University of Technology and Economics Hungary

In haptic and telemanipulation devices stability and transparency are contradicting requirements. Due to the network delay the control process may become unstable. In our research we consider the coupled impedance type control algorithms for force reflecting telemanipulation. There are several solutions in the control literature to handle constant time delay in feedback systems, but varying delay is still a challenge. This paper attempt to handle varying delay by a novel approach. We propose a control structure where the system with feedback delay is approximated by a non-delayed model with modified time constants. The controller is designed according to this non-delayed substitute system and the control signal is computed using its observed state vector. Tensor Product (TP) Model Transformation is utilized to make a compact polytopic representation of the observer and controller for various time delays. In this method the actual value of the feedback delay is considered as an input parameter of the TP type controller and observer. As example, a single degree of freedom impedance model with feedback delay is discussed. The results are confirmed by numerical simulation.

关键词： control design Impedance Feedback Delay effects control systems Force control Delay systems Haptic interfaces Stability Process control

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Stochastic nonlinear system identification based on HFC-GP

Stochastic nonlinear system identification based on HFC-GP

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作者： Yuan, Xiao-Lei Bai, Yan Peng, Gang Gao, Zhi-Cun Li, Peng Ma, Rui Hebei Electric Power Research Institute Shijiazhuang Hebei province 050021 China School of Control and Computer Engineering North China Electric Power University Beijing 102206 China

ISBN: (纸本)9787894631046

To identify structures and parameters of complex stochastic nonlinear systems with accuracy and efficiency, preventing premature convergence during the evolution, an improved multi-objective hierarchical fair competition (HFC) parallel genetic programming (GP) algorithm was employed. The improved HFC GP algorithm was used to identify an object system based on nonlinear autoregressive moving average with exogenous inputs (NARMAX) model, good identification results were achieved with simultaneous identification of both structures and parameters of the object system. In comparison with single population GP and traditional multi-population GP, HFC-GP showed a more competitive performance in preventing premature convergence. It can be concluded that HFC-GP is good at solving complex stochastic nonlinear system identification problems and is superior to other existing identification methods.

关键词： Stochastic systems

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Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM

Analyzing effect of distraction caused by dual-tasks on shar...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yu-Kai Wang Nikhil R. Pal Chin-Teng Lin Shi-An Chen Department of Computer Science and Brain Research Center National Chiao Tung University Taiwan Electronics and Communication Sciences Unit Indian Statistical Institute India Department of Electrical and Control Engineering and Brain Research Center National Chiao Tung University Taiwan

Drivers' distraction is widely recognized as a leading cause of car accidents. To investigate the distracting effect of dual-tasks involving driving and answering mathematical equations in the stimulus onset asynchrony (SOA) conditions, we design five different cases: two cases involving single-tasks and three cases involving dual-tasks. We have found that there is no statistically significant change in the behavioral data among the three dual-tasks. This raises an important question - is there any detectable effect of the dual tasks on the brain waves? To answer this, we use the Self-Organizing Map (SOM) to recognize the changes, if any, in the Electroencephalography (EEG) dynamics associated with such dual-tasks. Our SOM analysis based on independent components corresponding to EEG signals extracted from Frontal and Motor areas revealed that single- and dual-tasks have distinguishable signatures in the EEG signals. Specifically, each of the two single-task conditions is clustered in a distinct spatial area of the map. Two of the dual-tasks also exhibit distinct spatial clusters, while the third case although shows differences from the other two, the neurons corresponding to this case are sub-clustered reflecting the fact that different subjects may give different priorities to the tasks when confronted with two tasks simultaneously. SOM-based exploratory analysis reveals the existence of distinct EEG signatures among the distracting and non-distracting tasks, although there is no any noticeable difference in the behavioral data among these cases.

关键词： Electroencephalography Neurons Feature extraction Equations Mathematical model Brain Accuracy

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Towards High-Performance Pattern Matching on Multi-Core Network Processing Platforms

Towards High-Performance Pattern Matching on Multi-Core Netw...

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2010 IEEE Global Telecommunications Conference GLOBECOM 2010

作者： Yaxuan Qi Zongwei Zhou Yiyao Wu Yibo Xue Jun Li Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Information Networking Institute Carnegie Mellon University Pittsburgh PA USA Research Institute of Information Technology (RIIT) Tsinghua University Beijing China

With the continual growth of network speed and the increasing sophistication of network applications, keeping network operations efficient and secure becomes more challenging. Pattern matching is one of the key technologies for content-ware network processing, such as traffic classification, application identification and intrusion prevention. In this paper, we propose a hybrid pattern matching algorithm optimized for multi-core network processing platforms. As a system-level solution, our scheme focuses on both performance stability and hardware/software co-design. To verify the effectiveness of our design, the proposed algorithm is implemented on a state-of-art 16-MIPS-core network processing platform and evaluated with real-life data sets. Experimental results show that, when compared with the traditional Aho-Corasick algorithm, our hybrid solution saves 60~95% memory space while guarantees stable performance on large pattern sets and against adverse test traffic.

关键词： Algorithm design and analysis Doped fiber amplifiers Pattern matching Software algorithms Data structures Hardware Software

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The Application of Discrete Particle Swarm Optimization In Attitude Determination

The Application of Discrete Particle Swarm Optimization In A...

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WASE International Conference on Information engineering, ICIE

作者： Chang Chuanwen Mao Wenshen Xia Na Gu Jing No.28 Research Institute China Electronics Technology Group Corporation Nanjing China School of Computer and Information Hefei University of Technology Hefei China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei China

Attitude determination with navigation satellites is a key technology in aviation, marine and land navigation. In the method based on carrier phase difference, the double difference integer ambiguity solving is important and difficult. This paper adopts Discrete Particle Swarm Optimization to search for the optimal integer ambiguity directly without the decorrelation of ambiguity, and calculates the baseline vector consequently. This method can improve the efficiency of integer ambiguity solving, so as to be applied in dynamic attitude determination. The experimental results show the validity of this method.

关键词： Particle swarm optimization Position measurement Global Positioning System Satellites Algorithm design and analysis Equations

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Output Nested Backward Compensation of Unmatched Effects of Unknown Inputs

Output Nested Backward Compensation of Unmatched Effects of ...

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2010 49th IEEE Conference on Decision and control

作者： Alejandra Ferreira Leonid Fridman Elisabetta Punta Giorgio Bartolini Universidad Nacional Autonoma de Mexico (UNAM) Department of Control Engineering Faculty. C.P. 04510. Mexico D.F. Institute of Intelligent Systems for Automation National Research Council of Italy ISSIA-CNR Genoa Italy

ISBN: (纸本)9781424477456

This paper tackles the regulation problem of linear time invariant systems with unmatched perturbations. The proposed methodology exploits a high order sliding mode observer, which guarantees theoretically exact state and perturbation estimation. In this work is introduced a controller with a compensation strategy based on the identified perturbation values. A nested backward sliding surface design is proposed, which allows to compensate the unmatched uncertainties and to stabilize some of the non-actuated state components, while all the remaining states are maintained bounded. The overall stabilization error is estimated in terms of the sampling time and actuator time constant values. The feasibility of the technique is showed in a rotary inverted pendulum simulation example.

关键词： Time invariant systems INCOMPATIBLE compensated perturbation sampling time

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New enhancement of infrared image based on human visual system

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Chinese Optics Letters 2009年第3期7卷 206-209页

作者：于天河李秋明戴景民 Department of Automation Measurement and Control Engineering Harbin Institute of Technology Computer Center Harbin University of Science and Technology School of Astronautics Harbin Institute of Technology

Infrared images are firstly analyzed using the multifractal theory so that the singularity of each pixel can be extracted from the images. The multifractal spectrum is then estimated, which can reflect overall characteristic of an infrared image. Thus the edge and texture of an infrared image can be accurately extracted based on the singularity of each pixel and the multifractal spectrum. Finally the edge pixels are classified and enhanced in accordance with the sensitivity of human visual system to the edge profile of an infrared image. The experimental results obtained by this approach are compared with those obtained by other methods. It is found that the proposed approach can be used to highlight the edge area of an infrared image to make an infrared image more suitable for observation by human eyes.

关键词： Imaging systems Infrared imaging Infrared spectroscopy Pixels

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