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共 1643 条记录，以下是1521-1530 订阅

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Cross-Layer optimization based 802.11e MAC Processor toward Wireless Body Area network

Cross-Layer Optimization based 802.11e MAC Processor toward ...

引用

3rd International conference on Convergence and Hybrid Information Technology (ICCIT 2008)

作者： Kim, Youjin Lee, Hyungsoo Kim, Jaeyoung Elect & Telecommun Res Inst U Comp Div Adv U PAN Res Team Taejon South Korea

ISBN: (纸本)9780769534077

The video transmission over 802.11e WLAN can play a major role in the home theater applications that are able to interact with Wireless Body Area network (WBAN). The wireless transmission of high definition (HDTV) and Blu-ray can be serviced around the body area in the residential environment. The optimized QoS control method to transmit the video transmission over WLAN is necessary in order to guarantee the quality. Cross-Layer optimization (CLO) has been recently proposed for improving the QoS of the video transmission over WLAN. The 802.11e QoS defines just the MAC layer. Nevertheless, it does not include the video transmission method suitable for the residential environment. In this paper, we propose the system on chip (SoC) architecture of 802.11e-MAC in which the CLO packet generation is possible and suggest the Smart-Packet drop using the CLO packet information. The proposed SoC architecture is superior to the theoretical throughput of the DCF MAC over 17%. By using the CLO packet information, the proposed Smart-Packet drop makes the video transmission of the high quality possible. CLO packet information provides the realistic parameters between the PHY and MA C layers. The future WBAN MAC chip will be designed based on these proposals.

关键词： Wireless local area networks (WLAN)

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Simulink-Based Dynamic Priority Scheduling for optimization in network-on-Chip Communication

Simulink-Based Dynamic Priority Scheduling for Optimization ...

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Yangyang Pan Lei Li Haibin Shen Xiaolang Yan Institute of VLSI Design University of Zhejiang China

In this paper, dynamic priority scheduling policy is integrated into on-chip communications to improve the communication efficiency in network-on-chips. This approach is more efficient than conventional first-in-first-out (FIFO) policy in the optimization of multimedia applications in real-time. Simulink-based experiments on the Motion-JPEG and H.264 decoding demonstrate the efficiency of our approach on dynamic scheduling distributed memory service (DMS).

关键词： Dynamic scheduling Decoding Computer architecture Computational modeling Heuristic algorithms Program processors optimization

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PSO-BPNN-Based Prediction of network Security Situation

PSO-BPNN-Based Prediction of Network Security Situation

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Zongming Lin Guolong Chen Wenzhong Guo Yanhua Liu College of Mathematics and Computer Science Fuzhou University Fuzhou China Key Laboratory of Discrete Mathematics Ministry of Education Fuzhou China

ISBN: (纸本)9781424431977;9780769531618

Under the application background of network security evaluation research, this paper proposes a method of situation prediction based on particle swarm optimization (PSO) for optimizing BP neural network (BPNN). It uses PSO to reach global optimization of BP network's weight value and threshold value, and then by means of the optimized BP network builds a prediction model to predict the future network security situation. Experiment results show that this method can overcome the shortage of the predicting application in the traditional BP network, and effectively improve the accuracy of situation prediction. It can be applied into the situation prediction of network security situation awareness.

关键词： Security Predictive models Computational modeling Accuracy Performance analysis Artificial neural networks Training

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Inverted Pendulum System control by Using Modified PID Neural network

Inverted Pendulum System Control by Using Modified PID Neura...

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Shouju Li Chenfang Huo Yingxi Liu State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology China

An improved PID neural network-based controller is designed and analyzed for the inverted pendulum system. In order to deal with the local minimum problem in training neural network with backpropagation algorithm and to enhance controlling precision, neural network's weights are adjusted by optimization algorithm. The controller employs a PID neural network instead of estimating the unknown plant nonlinearities on-line. The simulation results show that the proposed controller with improved PID neural network is flexible and efficient in the control of inverted pendulum system.

关键词： Artificial neural networks Neurons control systems Nonlinear dynamical systems Nonlinear systems Algorithm design and analysis Heuristic algorithms

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Robust Fault Estimation for Uncertain networked control Systems with Random Time-Delays

Robust Fault Estimation for Uncertain Networked Control Syst...

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Dan Huang Sing Kiong Nguang The Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand

This paper investigates the problem of robust fault estimation for a class of uncertain networked control systems (NCSs) with random communication network-induced delays, which are to be modeled by the Markov processes. Based on the Lyapunov-Razumikhin method, a delay-dependent fault estimator is obtained in a form of bilinear matrix inequalities, irrespective of the uncertainties and network-induced delays. An iterative algorithm is proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools.

关键词： Delay Linear matrix inequalities Estimation Robustness Uncertainty Delay effects Symmetric matrices

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Research on Jet Loom Data Analysis System Based on Neural networks

Research on Jet Loom Data Analysis System Based on Neural Ne...

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Xuning Liu Ming Zhao Shuang Li Coll. of Inf. & Electr. Eng. China Agric. Univ. Beijing

To forecast quickly the operation condition of loom, optimizing operation parameters of loom, and improve the production efficiency of loom. The paper studied operation prediction of loom production based on neural network. Because traditional network method had the defects of slow convergence velocity and low prediction accuracy, BP algorithm was improved by combined algorithms by the merging of impulse item and adaptation of learning rate, network structure and parameters adjustment were used to optimize neural network, and to predict the operation condition of the loom. Research showed that improved BP network has good rate of convergence, the number of training was less and improved the reliability of the algorithm.

关键词： Artificial neural networks Training Neurons optimization Accuracy Predictive models Convergence

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An Optimal Sensor Localization Technology for WSN

An Optimal Sensor Localization Technology for WSN

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Xiaoyan Chen Shijue Zheng Dept. of Comput. Sci. Hua Zhong Normal Univ. Wuhan

A methodology for generating optimal sensor location design for wireless sensor network (WSN) is presented. Location of sensors, cost of measurement and frequency of sampling are important factors that have been incorporated in the sensor network design formulation. The proposed methodology is based on the beacon-less location discovery scheme between the quality of state estimation and the total measurement cost associated with the sensor network. To accommodate different sampling frequencies and evaluate their effect on state estimation accuracy, a unique method is used. In general, higher accuracies of the state estimates are realizable at expense of higher measurement cost. Incorporation of these conflicting objectives of minimizing measurement cost and maximizing estimation accuracy results in a combinatorial optimization problem. The resulting solutions can be then analyzed by the process designer for determining an appropriate WSN.

关键词： Wireless sensor networks Accuracy Distance measurement Probability density function Routing Estimation network topology

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Research on the reactive power control of grid-connected inverter of distributed generation system based on genetic algorithm

Research on the reactive power control of grid-connected inv...

引用

IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Rui Wang Fei Lin Xiaojie You Trillion Q. Zheng School of Electrical Engineering Beijing Jiaotong University Beijing China

This paper presents a centralized reactive control scheme of grid-connected inverter of distributed generation system. The power electronics interface performs the optimal operation to extract the maximum active power, while it also plays a key role in reactive compensation systems. The active and reactive power decoupled control is researched first. For the minimum network loss, genetic algorithm is used in reactive power optimization problem. Two simulation results show that the method proposed is effective in reducing power losses while improving the voltage profiles.

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Traffic Flow Prediction Based on Hierarchical Genetic Optimized Algorithm

Traffic Flow Prediction Based on Hierarchical Genetic Optimi...

引用

International conference on Innovative Computing, Information and control (ICICIC)

作者： Hai-Shuang Guan Wen-Ge Ma Yan-Yu Meng College of Electrical andInformation Engineering Beihua University Graduate School LiaoningUniversity of Technology College of Transportationand Civil Engineering Beihua University

The forecast of short-term traffic flow in timely and accurate is one of important contents of intelligent transportation system research. Based on the related knowledge of wavelet analysis and fuzzy neural networks, this paper proposes the fuzzy wavelet neural networks control method. It takes wavelet function as fuzzy membership function, uses neural networks to realize fuzzy reasoning, and finishes the estimate of next cyclical traffic flow. Simultaneously the hierarchical genetic algorithm is used to optimize the network structure and the parameter. After the field data test, this method is high precise, stable and compatible.

关键词： Genetic algorithms Artificial neural networks Forecasting Fuzzy control Neurons Encoding optimization

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Performance optimization for controlNet network

Performance Optimization for ControlNet Network

引用

2008 3rd International conference on Intelligent System and Knowledge Engineering(ISKE 2008)

作者： Liu Yunjing Songaijuan Department of Automation Engineering,Northeastern University at Qinhuangdao 066004

Many different network types have been promoted for use in control *** network is a well known member of the family of protocols-the CIP(control an Information Protocol).It has been developed by Rockwell *** controlNet network's mission is to provide reliable,high-speed transport of two basic types of application information:control and I/O data;non-time critical messaging data related to the controlled ***,this paper introduces the controlNet of Rockwell three networks and the background of three layers networks;Secondly,through the configuration in RSLogix5000 to the network,the optimization in RSNetWorx is studied;Finally,we study the key parameters of the network and a detailed discussion of parameters optimization for controlNet network is provided,including network utilization,NUT,magnitude of the expected time delay,and characteristics of time *** results are presented for several different scenarios,and the advantages and disadvantages of the network are summarized.

关键词： controlNet Performance optimization for controlNet network

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