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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 条记录，以下是1451-1460 订阅

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A Design Approach to Traffic Flow Forecasting with Soft Computing Tools

A Design Approach to Traffic Flow Forecasting with Soft Comp...

引用

International conference on Emerging Trends in Engineering and Technology, ICETET

作者： Snehal Jawanjal Preeti Bajaj G H Raisoni College of Engineering Nagpur Maharashtra IN Electronics Department G. H. Raisoni College of Engineering and Technology Nagpur India

This paper focuses on traffic flow forecasting approach based on soft computing tools. The soft computing tools used is Particle Swarm optimization (PSO) with Wavelet network Model(WNM). The forecast of short-term traffic flow in timely and accurate is one of important contents of intelligent transportation system research. The modelling of traffic characteristics and the prediction of future traffic flow are the first steps to efficient network control and management. The real traffic data is used to demonstrate that the PSO algorithm combined with WNM is effective for traffic flow forecasting. The simulation results demonstrate that the proposed model can improve prediction accuracy and outperforms other compared methods. A new hybrid model between wavelet analysis and a neural network: wavelet network model absorbs some merits of wavelet transform and artificial neural network.

关键词： Wavelet transforms Artificial neural networks Wavelet analysis Mathematical model Forecasting optimization

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FPGA implementation of public key processor for network security

FPGA implementation of public key processor for network secu...

引用

3rd IEEE International conference on Signal and Image Processing, ICSIP 2010

作者： Dhanagopal, R. Manivasakam, B. Department of E.C.E Jayaram College of Engineering and Technology Trichy India

ISBN: (纸本)9781424485949

Elliptic curve cryptography is a public key cryptosystem based on the elliptic curve discrete logarithm problem. The reason for the attractiveness of ECC is that there is no sub-exponential algorithm known to solve the elliptic curve discrete logarithm problem. This leads to lower memory requirements, lower computation requirements and higher security than other public key cryptosystems. This project describes an implementation of a micro coded elliptic curve processor using FPGA technology. This processor implements optimal normal basis field operations .The design is generated by a parameterized module generator which can accommodate arbitrary n and also produce field multipliers with different speed/area tradeoffs. The control part of the processor is micro coded, enabling curve operations to be incorporated into the processor hence reducing the chip's I/O requirements. The micro coded approach also facilitates rapid development and algorithmic optimization. for example, projective and affine coordinates were supported using different sets of micro codes. The design was successfully tested on a Xilinx Spartan -II kit device. Elliptic curve processor is particularly suitable for recourse limited devices because of its lower requirements of memory and computation. It is applicable to be implanted into smart cards, cellular phones and other hand-held devices so that secure communication can be provided. For based on implement the FPGA Using Verilog HDL. © 2010 IEEE.

关键词： Field programmable gate arrays (FPGA)

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REALIZATION OF PMD COMPENSATION IN HIGHSPEED OPTICAL FIBER COMMUNICATION network

REALIZATION OF PMD COMPENSATION IN HIGHSPEED OPTICAL FIBER C...

引用

2010 3rd IEEE International conference on Broadband network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

作者： Xueguang Yuan Lili Hou Rongguo Zhang Xiaoguang Zhang Jinnan Zhang Yangan Zhang Minglun Zhang Gai Wang Beijing Key Laboratory of Optical Communication and Lightwave Technologies Ministry of EducationBe Beijing Key Laboratory of Optical Communication and Lightwave Technologies Ministry of Education B

A new adaptive polarization mode dispersion PMD compensation method in 80Gbit/s optical communication is proposed. Through the control of DSP, the dithering particle swarm optimization (PSO) algorithm is used to extra... 详细信息

关键词： PMD DSP PSO

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Data-driven route guidance under the framework of model predictive control

Data-driven route guidance under the framework of model pred...

引用

International conference on Computer Science and Information Technology (CSIT)

作者： Yonghua Zhou Xu Yang Wei Wang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

Real-time traffic assignment for route guidance is put under the framework of model predictive control, which optimizes the routes based on the real-time feedback and prediction information of road network. In this framework, particle filter is utilized to estimate the statistic distribution of traffic flow of links without detection sensors based on the position and speed information of navigated vehicles on those links and the prior information of traffic flow of links with detection sensors. The chance constrains and Bayes-based route prediction are incorporated into the optimization model so that the stochastic characteristics of traffic needs, propagation and driver's decision-making behavior can be compensated in the route optimization. To check the chance constraints, the min-max characteristic points are used to fit the curve of stochastic traffic propagation process with stochastic needs to avoid the exponential increase of combination calculation. The genetic algorithm is utilized for the optimization with feasible-direction-search crossover and mutation to improve the evolution efficiency, combined with the traffic simulation in the mean sense with the compensation of stochastic parts of traffic flow data to evaluate the performance of real-time traffic assignment. The simulation results demonstrate the effectiveness of traffic navigation predictive control.

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RBF Neural network control System Optimized by Particle Swarm optimization

RBF Neural Network Control System Optimized by Particle Swar...

引用

2010 3rd IEEE International conference on Computer Science and Information Technology—ICCSIT 2010

作者： Xiucheng Dong Provincial key lab on signal and information processing,Xihua University Chengdu,China Cong Wang,Zhang Zhang Provincial key lab on signal and information processing,Xihua University Chengdu,China

A RBF neural network control system optimized by Particle Swarm optimization is *** control system was constructed by two RBF neural network,one was used as identifier and the other was used as *** system parameters were optimized by PSO,RBF neural network identified the nonlinear controlled object,the obtained Jacobian information used into RBF *** results shows that the system optimized by PSO can get the ideal results of the control to the nonlinear objects,the system has good adaptive capacity and robustness.

关键词： RBF neural network PSO nonlinear objects

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Study on network Flow Prediction Model Based on Particle Swarm optimization Algorithm and RBF Neural network

Study on Network Flow Prediction Model Based on Particle Swa...

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2010 3rd IEEE International conference on Computer Science and Information Technology—ICCSIT 2010

作者： Zhang Yu Bin HeBei Vocational Art College ShiJiaZhuang,China Lin Li Zhong ShiJiaZhuang College ShiJiaZhuang ,China Zhang Ya Ming ShiJiaZhuang Information Engineering Vocational College ShiJiaZhuang,China

It is significant to control network congestion by time series forecasting research for network flow. The hybrid method of particle swarm optimization algorithm and RBF neural network is applied to predict network flow and gain the desirable network flow prediction results. In the hybrid method, particle swarm optimization algorithm is selected and adjusted to the connection weights and the center of radial basis function and the width of radial basis function. The network flow data are collected to search the prediction ability of particle swarm optimization algorithm and RBF neural network. Compared with the results of RBF neural network and BP neural network, particle swarm optimization algorithm and RBF neural network has better forecasting performance.

关键词： network flow neural network particle swarm optimization algorithm prediction model

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STUDY OF REVERSIBLE InfORMATION HIDING SCHEME BASED ON CArdBAL2 AND DCT

STUDY OF REVERSIBLE INFORMATION HIDING SCHEME BASED ON CARDB...

引用

2010 3rd IEEE International conference on Broadband network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

作者： Wei Hu Degang Zhang Dejun Mu Tao Zhang Shuai Ren Department of Automatic Control Northwestern Polytechnical University Xi’an China School of Information Engineering Chang'an University Xi’an China

Taking advantage of the feature that the energy of the image would gather and spread on four components (LL2, LH2, HL2 and HH2) in the subimage after first-order CArdBAL2 multi-wavelet transform, propose an Information Hiding Algorithm based on CArdBAL2 transform and DCT. According to the algorithm, LL2 is embedding module of robust parameters (odd-even verification data, scrambling optimization parameters and Hash value of information). Embed hiding Information in LH2 and HL2 with RAID4 and contrast detection data in HH2. Choose different DCT coefficient interval in LL2, LH2 and HL2. In aspect of information processing, using Logistic map and optimistic algorithm, improve the consistence of the embedded data bits’ order and the character of the sub-image. The algorithm can increase invisibility and robustness separately by 2.19％ and 30.92％ averagely. The algorithm has an obvious advantage against cutting. Its sensitivity of image tampering can reach to 98％ or more and it has an excellent ability against steganalysis.

关键词： Information hiding CArdBAL2 multi-wavelet transform DCT Logistic map RAID4 genetic algorithm

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Research on optimization Algorithm of TCP Reno Based on Wireless network

Research on Optimization Algorithm of TCP Reno Based on Wire...

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2010 The 3rd International conference on Computational Intelligence and Industrial Application (PACIIA2010)

作者： Chun Bai College of Computer and Automatic control Hebei Polytechnic University Tangshan,Hebei,China Jin Liu,Hong Deng Shijiazhuang Railway Institute Shijiazhuang,Hebei,China

The high error rate of wireless link result in most of Packet loss rate that is caused by error of the wireless link,The standard TCP network will start congestion control before congestion ,result in the sharp decrease of performance. In this paper,we propose an idea that adjust dynamic the size of TCP segment according to the error rate,and modify the *** function to implement this algorithm to improve the overall performance of TCP.

关键词： error rate, retransmission rate, TCP segment size, throughput, Reno algorithm improved

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AN IMS-BASED MANAGEABLE P2P LIVE STREAMING SYSTEM IN NGN

AN IMS-BASED MANAGEABLE P2P LIVE STREAMING SYSTEM IN NGN

引用

2010 3rd IEEE International conference on Broadband network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

作者： Shiquan Xiao Bo Yu Jinghua Lin Dong Yu Shenyang Institute of Computing Technology Chinese Academy of Science Shenyang China Graduate Uni Shenyang Institute of Computing Technology Chinese Academy of Science Shenyang China

In the IMS-based NGN service platform, live streaming is an important value-added service. But the distribution of streaming media is a difficult problem because of its massive bandwidth requirement and real-time requirement. Since IP multicast needs to update the whole network routers, this paper introduces P2P technology into live streaming system, which leverages the IPbased policy control and session-based QoS reservation mechanism of IMS. In the service system, the P2P cluster is constructed and managed in the central server deployed at the service plane without any modification to the standard IMS architecture. Several functional entities such as OMF, NRQF and P2P-enabled UE are extended based on the IMS-based IPTV architecture defined by ETSI TIAPAN. When the P2P-enabled UE initiates the service request, SCF as a SIP B2B UA is responsible for the session establishment among neighboring peers relying on the peer selected result from OMF. According to peer grouping judgment returned from NRQF, the OMF groups the UEs watching the same live channel into different peer clusters. Furthermore, this paper describes the session flows and QoS reserving procedure in the detail, and emphasizes the manageability of the P2P overlay.

关键词： IP Multimedia Subsystem (IMS) Manageable P2P Live Streaming QoS Guarantee Routing optimization

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High Stability and Quick Start Oven controlled Crystal Oscillator

High Stability and Quick Start Oven Controlled Crystal Oscil...

引用

2010 3rd IEEE International conference on Computer Science and Information Technology—ICCSIT 2010

作者： Yun Zhou Department of Electrical and Computer Engineering Xi’an Technological University Xi’an, Shaanxi 710032 China

Oven controlled crystal oscillators (OCXO) have been widely used in global positioning systems, communications, metering, telemetry control, spectrum, network analyzers and other electronic equipments as a source of time-frequency signal with high precision. Two most important performance indexes of a crystal oscillator are frequency stability and start-up characteristics. In this paper the marriage of hardware and software, practice of dual thermostatic bath and application of optimization technology in temperature control in duel temperature control system enable quicker start and further improve temperature control accuracy and the frequency stability of OCXO. This clever design optimization achieves lower power consumption, higher stability, even more compact size and quicker start.

关键词： Crystal oscillator OCXO, PID control C8051F007 PWM

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