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检索条件"机构=Dept. of Control and Computer Engineering"

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Novel Design of Interactive Caption and Recognition Postures within the Wearable and Non-Vision System over Wireless Sensor Network

Novel Design of Interactive Caption and Recognition Postures...

引用

International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： W.T. Huang Chao-Nan Hung Chiu-Ching Tuan Chin-Hsing Chen Yuan-Jen Chang You-Yin Chen Department of Computer Science and Information Engineering Minghsin University of Science and Technology Taiwan R.O.C. Department of Graduate Institute of Computer and Communication Engineering National Taipei University of Technology Taiwan Department of Management Information Systems Central Taiwan University of Science and Technology Taiwan Dept. of Electr. & Control Eng. Nat. Chiao Tung Univ. Hsinchu Taiwan

In this study, we design and present the novel wearable system with the interactive posture caption and recognition functions based on the non-vision over the ZigBee wireless sensor network (ZigBee-WSN). There are two type sensors, 3-axis accelerometer and clip type, to be employed in our wearable system. These sensors are arranged on user's four limbs such that the posture information can be gathered by them. Then, the posture information is transmitted to the data-controlling center over ZigBee-WSN. Finally, this center can analyze and distinguish various postures by our proposed algorithm through the friend user's interface to express. Our presented wearable system can distinguish out 28 kinds of hand postures and 13 kinds of leg postures altogether. Moreover, under our presented ZigBee-WSN system with small size, low-power consumption, and high-reliability characteristics, the data-controlling center can simultaneously tele-monitor the real-time body interactive postures of 8 persons, when the transmitting distance is less than 18 M and the package correct transmitted rate is more than 97.5%.

关键词： Wireless sensor networks Wearable sensors ZigBee Sensor systems Accelerometers Algorithm design and analysis User interfaces Leg Real time systems Packaging

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Finite impulse response neural networks with applications in speed control of DC motor drive

Finite impulse response neural networks with applications in...

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作者： Sallam, A.S. Mohamed, H.A. Computer and Control Engineering Dept. Faculty of Engineering Tanta University Egypt

ISBN: (纸本)9780791802977

An increasing number of applications of dynamic neural networks has been developed for digital signal processing (DSP) , dynamic neural networks are feedforward neural networks with commonly used scalar synapses replaced by linear filters. This provides feedforward neural networks with the capability of performing dynamic mappings, which depend on past input values, dynamic neural networks are suitable for time series prediction, nonlinear system identification, and signal processing applications. Their most popular types are Finite Impulse Response (FIR) neural networks, which are obtained by replacing synapses with finite impulse response filters. Due to their guaranteed stability characteristic and easy to minimize error surface they have been used with great success in many applications such as signal enhancement, noise cancellation, classification of input patterns, system identification, prediction, and control.. Most of the works on system identification using neural networks are based on multilayer feedforward neural networks with backpropagation learning or more efficient variations of this algorithm, an elegant method for training layered networks. This paper is based on work in a Dynamic System Modeling (DYSMO) and as an application for speed control of DC motor drive.

关键词： Multilayer neural networks

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Fault Detection in IP-based Process control Networks using Data Mining

Fault Detection in IP-based Process Control Networks using D...

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IFIP/IEEE International Symposium on Integrated Network Management (IM 2009)

作者： Park, Byungchul Won, Young J. Yu, Hwanjo Hong, James Won-Ki Noh, Hong-Sun Lee, Jang Jin Dept. of Computer Science and Engineering POSTECH South Korea Electric and Control Maintenance Dept. POSCO South Korea

ISBN: (纸本)9781424434862

Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the entire manufacturing process. The current process of detecting and diagnosing communication faults is mostly manual, cumbersome, and inefficient. Detecting early symptoms of potential problems is very important but automated solutions do not yet exist. Our research goal is to automate the process of detecting and diagnosing the communication faults as well as to prevent problems by detecting early symptoms of potential problems. To achieve our goal, we have first investigated real-world fault cases and summarized control network failures. We have also defined network metrics and their alarm conditions to detect early symptoms for communication failures between process control servers and devices. In particular, we leverage data mining techniques to train the system to learn the rules of network faults in control networks and our testing results show that these rules are very effective. In our earlier work, we presented a design of a process control network monitoring and fault diagnosis system. In this paper, we focus on how the fault detection part of this system can be improved using data mining techniques.

关键词： Process control network network management fault detection fault diagnosis machine learning data mining

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The application of a parallel genetic algorithm to timetabling of elementary school classes: A coarse grained approach

The application of a parallel genetic algorithm to timetabli...

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ICAT 2009 - 2009 22nd International Symposium on Information, Communication and Automation Technologies

作者： Šrndić, Nedim Dervišević, Mirza Pandžo, Emir Konjicija, Samim Dept. of Computer Science Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina Dept. of Control and Electronics Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9781424442218

This paper describes the application of a Parallel Genetic Algorithm that solves the weekly timetable construction problem for elementary schools. Timetable construction is NPcomplete and highly constrained problem, and therefore represents a computationally intensive task. A Parallel Genetic Algorithm (PGA) is proposed with specific methods for chromosome representation and fitness evaluation, and specific recombination and mutation operators. The proposed solution uses a coarse grained PGA, which is suitable for execution on a Beowulf cluster. Experimental results are provided, with a comparison of serial and parallel execution times for the same algorithm. ©2009 IEEE.

关键词： Scheduling

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Particle swarm optimization algorithm based on space mutation and its application

Particle swarm optimization algorithm based on space mutatio...

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2009 International Workshop on Intelligent Systems and Applications, ISA 2009

作者： Song, Shengli Kong, Li Zhang, Pu Su, Rijian Dept. of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Dept. of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China

ISBN: (纸本)9781424438945

According to characteristics of particle swarm optimization algorithm, a novel particle swarm optimization algorithm based on adaptive space mutation (ASM-PSO) is proposed. During the searching process, the convergence speed and globally convergence ability is greatly improved by the adaptive space mutation based on the variance of the population's fitness. Experiment results show that the new method, with both a better stability and a steady convergence, not only enhances the local searching efficiency and global searching performance greatly, but also has faster convergence speed and higher precision, and can avoid the premature convergence problem effectively. Most importantly, results demonstrate that ASM-PSO is more feasible and efficient for quality monitoring of laser welding process. © 2009 IEEE.

关键词： Laser beam welding

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A simulation study of consensus speed over scale-free networks

A simulation study of consensus speed over scale-free networ...

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IFAC Workshop on Networked Robotics, NetRob09

作者： Sun, Wei Chen, Yang Quan Dept. of Automatic Control Beijing Institute of Technology Beijing 100081 China Dept. of Electrical and Computer Engineering Utah State University Logan UT 84322 United States

ISBN: (纸本)9783902661531

Scale-free network and consensus among multiple agents have both drawn quite much attention. To investigate the consensus speed over scale-free networks is the main topic in this paper. Given a set of different values for the power-law distribution parameter γ, and a set of different values for the minimum degree (dmin) for the nodes, the algebraic connectivity (γ2) of the network topology is studied, as well as the time (t c) (or iteration (kc), for discrete algorithm) taken to reach consensus. The results exhibit that γ2 decreases while increases. The γ2 increases monotonically as dmin grows, and they fit very well in a linear relationship. tc (or kc) decreases as reduces and dmin increases. Via observing the behavior of the largest eigenvalue (γn) of the Laplacian of the network topology, we draw the conclusion that the robustness over time delays declines while the robustness over node-failures and edge-failures increases. © 2009 IFAC.

关键词： Iterative methods

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Real-time vision-based multiple vehicle detection and tracking for nighttime traffic surveillance

Real-time vision-based multiple vehicle detection and tracki...

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2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009

作者： Chen, Yen-Lin Wu, Bing-Fei Fan, Chung-Jui Dept. of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781424427949

This study presents an effective system for detecting and tracking moving vehicles in nighttime traffic scene for traffic surveillance. The proposed method identifies vehicles based on detecting and locating vehicle headlights and taillights by using the techniques of image segmentation and pattern analysis. First, to effectively extract bright objects of interest, a fast bright-object segmentation process based on automatic multilevel histogram thresholding is applied on the nighttime road-scene images. This automatic multilevel thresholding approach can provide robustness and adaptability for the detection system to be operated well under various illumination conditions at night. The extracted bright objects are processed by a spatial clustering and tracking procedure by locating and analyzing the spatial and temporal features of vehicle light patterns, and then identifying and classifying the moving cars and motorbikes in the traffic scenes. Experimental results demonstrate that the proposed approach is feasible and effective for vehicle detection and identification in various nighttime environments for traffic surveillance. ©2009 IEEE.

关键词： Vehicles

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Optimizing hybrid control trajectories by model abstraction and refinement

Optimizing hybrid control trajectories by model abstraction ...

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作者： Paschedag, Tina Fall, Michael Stursberg, Olaf Institute of Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany Technische Universität München Germany

ISBN: (纸本)9783902661593

Techniques for optimal control of hybrid systems have to consider the complex interaction of continuous and discrete dynamics and are required to limit the computational complexity arising from the corresponding search spaces. This contribution proposes an approach to computing hybrid optimal control trajectories based on an iterative model-abstraction and refinement scheme. The hybrid automaton is mapped to an abstract representation which is enriched by cost information gained from graph. Candidate solutions are computed on the abstract level and are mapped back to the level of the hybrid model, where they are validated. A refinement step guides the search for (sub-) optimal hybrid control trajectories. The proposed approach is implemented for the optimization of the start-up procedure for a chemical reactor.

关键词： Hybrid systems

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Implementation of the hybrid fingerprint verification

Implementation of the hybrid fingerprint verification

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2009 2nd International Conference on computer Science and Its Applications, CSA 2009

作者： Chae, Seung-Hoon Lim, Sung Jin Chung, Yongwha Pan, Sung Bum Dept. of Information and Communication Engineering Chosun Univ. Gwangju Korea Republic of Dept. of Computer and Information Science Korea Univ. Sejong Campus Chungnam Korea Republic of Dept. of Control Instrumentation and Robot Engineering Chosun Univ. Gwangju Korea Republic of

ISBN: (纸本)9781424449460

In contemporary society, access to information is easy because of advanced communication media, so security system which prevent unauthorized access is considered important. Fingerprint verification systems are very convenient and secure. Minutiae-based fingerprint verification is widely used in fingerprint verification. However, existing systems can cause errors according to size and quality of fingerprint images that are read only with a use of minutiae. Due to such errors, the users who have no authority of access are allowed to use the information, which is a problem. This paper proposes hybrid fingerprint verification methods of two kinds to improve performance of minutiae-based fingerprint verification. One is method using fingerprint binary image, and another is method using ridge-information. The result which experiments two kind methods, we confirm to improved performance of fingerprint verification than when only minutiae-based verification was used. © 2009 IEEE.

关键词： Binary images

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Novel Emotion Engine for Robot and Its Parameter Tuning by Bacterial Foraging

Novel Emotion Engine for Robot and Its Parameter Tuning by B...

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5th International Symposium on Applied Computational Intelligence and Informatics

作者： Kim, Dong-Hwa Nair, Shivashankar B. Dept. of Instrumentation and Control Eng. Hanbat National University Daejeon City South Korea Department of Computer Science and Engineering Indian Institute of Technology Guwahati Guwahati India

ISBN: (纸本)9781424444779

In this paper, we propose the novel emotional engine like human's emotion and its parameter tuning using by hybrid system bacterial foraging (BF) and agent machine learning. The most general method uses neural networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning of neural network. The main idea of the proposed method is to suggest emotion engine and to express emotion by hybrid system composed of bacterial foraging and multi-agent system. Experimental result shows that this method can achieve better performance for human's emotion recognition than others and express emotion.

关键词： Hybrid systems

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