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Research on the Filter Technology of DC/DC Converter Output Terminal

Research on the Filter Technology of DC/DC Converter Output ...

2009 3rd IEEE International Symposium on Microwave,Antenna,Progagation and EMC Technologies for Wireless Communications(第三届微波、天线、电波传播和EMC技术国际会议

作者： Wei Wang Hong-yu Zhai Xu Yang Space Optics Research Lab Changchun Institute of Optics Fine Mechanics and Physics Changchun Jilin Department of Electrical Engineering and Department of Computer Changchun University of Science and

ISBN: (纸本)9781424440757;9781424440740

In order to filter out the common-mode and differential-mode interference of DC/DC converter output power, restrain the power’s ripple, reduce the transmitting interference of power, and increase the anti-interference ability and stability of power system, we analyze the internal structure of DC/DC converter, describe its working principle, and take mechanism analysis of the noise produced by it. According the result, I will bring forward the integrating nonlinear filter method as well as introduce the designation and calculation method of filter inductance. According to the experiments, the power of this system works stably and satisfies the output need of system’s power.

关键词： common-mode interference differential-mode interference ripple integrating nonlinear filter

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Application of CBERS imagery for urban growth monitoring

Application of CBERS imagery for urban growth monitoring

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Urban Remote Sensing Joint Event

作者： Huaibao Wang Huan Yu Li Cui School of Geo-spatial Information Science and Prospecting Engineering Jilin Institute of Architecture and Civil Engineering Changchun China Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences Changchun China School of Prospecting and Surveying Changchun Institute of Technology China

Remote sensing technology has many advantages in the city development and using remote sensing technology to monitor urban growth has become a trend. Various remote sensing data were engaged in monitoring the spatial and temporal processes of urban expansion and land use change. The CBERS has been applied in many fields. Based on multi-temporal CBERS imageries, the research extracted the urban built-up areas in changchun city, jilin province, China, on the basis of supervised classification method, Maximum Likelihood classifier. Overlay and buffer spatial analysis was used to study urban growth direction. At last, the major drive forces behind urban expansion were analyzed by using socio-economic statistics. This research has verified the applicability of urban growth monitoring based on CBERS imageries, and then, should enrich urban expansion data source and extend the CBERS application field.

关键词： Remote monitoring Entropy Cities and towns Satellites Urban areas Remote sensing Image analysis Earth Maximum likelihood detection Environmental factors

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An Improved OIF Elman Neural Network Model with Direction Profit Factor and Its Applications

An Improved OIF Elman Neural Network Model with Direction Pr...

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International Conference on Machine Vision (ICMV)

作者： Ming Li Limin Wang Yang Liu Ying Liu Qian Sun Xuming Han Department of Information Changchun Taxation College Changchun China School of Computing and Software Engineering Southern Polytechnic State University USA College of Computer Science and Technology Jilin University Changchun China Institute of Information and Spreading Engineering Changchun University of Technology Changchun China

Output-input feedback (OIF) Elman neural network is a dynamic feedback network. An improved model is proposed based on the OIF Elman neural network by introducing direction profit factor in this paper. Moreover, the proposed model is applied to forecast the composite index of stock. In addition, some comparisons are also made when the stock exchange is performed using prediction results from OIF Elman neural network. Simulation results show that the proposed model is feasible and effective in the finance field. It shows that the proposed model can not only improve the forecasting precision evidently and possess the characteristic of quick convergence but also provide a good reference tool for investors to obtain more profits.

关键词： Neural networks Predictive models Artificial neural networks Stock markets Neurofeedback State feedback Finance Machine vision Application software computer networks

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Extracting the Coronary Artery in Angiographic Image Based on à Trous Wavelet of Rotary Gaussian with Adaptive Space Coefficient

Extracting the Coronary Artery in Angiographic Image Based o...

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International Conference on Computational Intelligence and Security

作者： Qingzhu Wang Ke Wang Donghong An Bo Chen Miao Liu Yingying Ying College of Communication Engineering Jilin University Changchun China China China-Japan Union Hospital Jilin University Changchun China Department of Computer Science Daqing Petroleum Institute China Department of Pharmacy Changchun Medical College Changchun China College of Information and Communication Engineering Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781424454112

According to the matching differences cased by cardiac non-rigid motion between angiographic images before and after injected in subtract angiography which is most widely used in diagnosis, a new algorithm based on a¿ trous wavelet of rotary Gaussian with adaptive space coefficient and segmentation based on transition region is put forward to in this paper. The angiographic image is pretreated by an adaptive and multi-hierarchy method to obtain images of different levels, and all sub-images are obtained by extracting the coronary artery from image of every level, all sub-images are fused to obtain the final image in accordance by certain rules. Simulation results based on 200 actual coronary artery angiographic images indicate that comparing with traditional algorithms, SNR is improved 4.7%~8.8%, and positioning accuracy of centerline is improved 3.9%~37.5%.

关键词： Arteries Educational institutions Image segmentation Angiography Biomedical engineering Knowledge engineering Clinical diagnosis Heart Low pass filters Computational intelligence

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Multi-robot decision making using unified planning

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Journal of Harbin institute of Technology (New Series) 2008年第SUPPL. 2期15卷 225-228页

作者： Meng, Xiang-Ping Meng, Jun Wang, Sheng-Bin Department of Electrical Engineering Changchun Institute of Technology Changchun 130012 China School of Computer Science and Engineering Changchun University of Technology Changchun 130012 China Information engineering College Northeast Dianli University Jilin 132012 China

Within a group of cooperating robots the decision making of an individual robot depends on the actions of the other robots. In dynamic environments, these dependencies will change rapidly as a result of the continuously changing state. A multi-robot model for plan synthesis in which the production of a global shared plan is based on a promising unified framework based on HTN and POP approaches was proposed, which took into account robots' partial knowledge and heterogeneous skills, considered the global multi-robot planning process as a POP planning procedure where robots exchange proposals and counterproposal. Each robot's proposal is produced by a relaxed HTN approach that defines partial plans in accordance with the plan space search planning. Robot's interactions define a joint investigation that enable them to progressively prune threats, solve open goals and elaborate solutions step by step. Finally, we will demonstrate this method in the RoboCup soccer simulation domain.

关键词： Industrial robots

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A self-adaptive particle swarm optimization algorithm

A self-adaptive particle swarm optimization algorithm

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International Conference on computer science and Software engineering, CSSE 2008

作者： Xiufen, Li Hongjie, Fu Changsheng, Zhang College of computer science and technology Jilin Teachers Institute of Engineering and Technology Changchun China College of computer science and technology Jilin University Changchun China

ISBN: (纸本)9780769533360

To combat the problem of premature convergence observed in many applications of PSO, a novel self-adaptive particle swarm optimization algorithm-SAPSO is proposed in this paper. There exist two states for each particle in the SAPSO algorithm and a metric to measure a particle's activity is defined which is used to choose which state it would reside. In order to balance a particle's exploration and exploitation capability for different evolving phase, a self-adjusted inertia weight which varies dynamically with each particle's evolution degree and the current swarm evolution degree is introduced into SAPSO algorithm. Simulation and comparisons based on several wellstudied non-noisy problems and noisy problems demonstrate the effectiveness, efficiency and robustness of the proposed algorithm. © 2008 IEEE.

关键词： Particle swarm optimization (PSO)

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Clonal Selection Based Memetic Algorithm for Job Shop Scheduling Problems

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Journal of Bionic engineering 2008年第2期5卷 111-119页

作者： Jin-hui Yang Liang Sun Heow Pueh Lee Yun Qian Yan-chun Liang College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun 130012 P. R. China Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore Singapore 117576 Singapore Institute of Electric and Information Engineering Beihua University Jilin 13202 l P. R. China

A clonal selection based memetic algorithm is proposed for solving job shop scheduling problems in this paper. In the proposed algorithm, the clonal selection and the local search mechanism are designed to enhance exploration and exploitation. In the clonal selection mechanism, clonal selection, hypermutation and receptor edit theories are presented to construct an evolutionary searching mechanism which is used for exploration. In the local search mechanism, a simulated annealing local search algorithm based on Nowicki and Smutnicki＇s neighborhood is presented to exploit local optima. The proposed algorithm is examined using some well-known benchmark problems. Numerical results validate the effectiveness of the proposed algorithm.

关键词： job shop scheduling problem clonal selection algorithm simulated annealing global search local search

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Applications of SOM2W network for stock companies comprehensive assessment

Applications of SOM2W network for stock companies comprehens...

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2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

作者： Xuming, Han Wanli, Zuo Limin, Wang Jing, Zhang Hongzhi, Wang Jiaqiao, Liu College of Computer Science and Technology Jilin University Changchun 130012 China Institute of Information and Spreading Engineering Changchun University of Technology Changchun 130012 China Department of Information Changchun Taxation College Changchun 130117 China Software College Jilin University Changchun 130012 China

ISBN: (纸本)9781424421084

An improved model based on Kohonen neural network, called Self-Organizing Map neural network with two winners (SOM2W), is applied to assess stock companies in this paper. In addition, in order to improve the precision of solutions, tabu-mapping method is also used to avoid that the same output node is mapped by more than one input. The clustering analysis for the stock is also done by using SOM2W neural network in this paper. The financial indexes reflecting the comprehensive capability of stock company as main research objects including income per thigh, clean asset per thigh, profit rate of clean asset. Experimental results show that SOM2W network is feasible and effective to assess and select stocks, it could provide a new reference basis for government and investors, which has potential applications in the financial field. © 2008 IEEE.

关键词： Conformal mapping

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An immune algorithm-based atmospheric quality assessment model and its applications

An immune algorithm-based atmospheric quality assessment mod...

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International Conference on computer science and Software engineering, CSSE 2008

作者： Wang, Limin Han, Xuming Li, Ming Chen, Guojun Zhang, Chijun Zhang, Huimin Department of Information Changchun Taxation College Changchun 130117 China Institute of Information and Spreading Engineering Changchun University of Technology Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China Department of Computer Science and Technology Guangdong University of Finance Guangzhou 510520 China

ISBN: (纸本)9780769533360

Atmospheric quality assessment is an important research subject, focusing on the evaluation of the quality of atmospheric environment, a model based on the immune algorithm (IM) is proposed in this paper. The model has the characters of pellucid principle and physical explication. Moreover, the simplification is the important advantage of the method. Experimental results show that the proposed model is effective and feasible for assessing atmospheric quality. It could provide a new reference basis and approach in the field of environment. Therefore it has great potential in the field of assessment the atmospheric quality. © 2008 IEEE.

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Alliance-oriented security architecture and technologies in collaborative e-commerce system

Alliance-oriented security architecture and technologies in ...

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20th IASTED International Conference on Parallel and Distributed Computing and Systems, PDCS 2008

作者： Si, Haiyang Fang, Zhiyi Yin, Yumei Zhao, Hui School of Computer Science and Technology Jilin University Changchun 130012 China Graduate University of Chinese Academy of Sciences Beijing China Shenyang Institute of Computing Technology Shenyang China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 China School of Computer Science and Engineering ChangChun University of Technology Changchun 130012 China

ISBN: (纸本)9780889867741

Collaborative commerce and design environment is characterized by of its numerous users, massive resources and dynamic change. In order to solve security problems coming from multi-domain, heterogeneity and dynamics, the security architecture for collaborative commerce and design environment was constructed throuth adoptting Internet Protocol Security(IPSec), Secure Socket Layer(SSL), Simple Object Access Protocol Security(SOAPSec). The enabling technologies including IPSec-based Virtual Private Net(VPN), secure e-commence and cooperation framework, digital authentication and encryption of data were discussed in detail. The architecture and the enabling technologies provided the security mechanism amongst the partners to realize business collaboration, design collaboration in network business pattern.

关键词： Authentication

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