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Wuhan university Journal of Natural Sciences 2001年第Z1期6卷 283-287页

作者： Wang Ying 1,2 , Sang Da yong 2, 3 1. college of Management, Xi’an jiaotong university, Xi’an 710049,china 2.college of engineering, Air Force university of engineering, Xi’an 710038,china 3. State Key Laboratory of Software engineering, Wu college of Management Xi’an Jiaotong University Xi’an China college of engineering Air Force University of Engineering Xi’an China State Key Laboratory of Software engineering Wuhan University Wuhan China

The World Wide Web (WWW) has greatly changed the way of component based software reuse, for large number of components provided by different vendors become available and it's rather difficult to find and choose what we in fact need. To make large amount of the components collaborate, an information exchanging model is essential. In order to retrieve and search the suitable or usable components more effectively, some techniques should be taken into account. Among these techniques, matching strategies and fuzzy URL semantics are significant for the former help us to find components which could be reused and the other both to broaden the searching areas and use some uncertain information to make the searching more purposive. A brief discuss on an abstract component model (UACModel) is begun, which was proposed to promote the interoperability and information exchange among various reusable component libraries (RCLs), and a framework for component retrieval. Then the emphases are put on some matching strategies, especially incomplete ones that encourage reuse through component customization, and fuzzy URL extensions to be supported and realized.

关键词： component reuse interoperability model component retrieval index repository reusable component library (RCL)

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混沌系统的遗传神经网络控制

物理学报 2003年第11期52卷 2723-2728页

作者：王耀南谭文湖南大学电气与信息工程学院长沙410082

提出遗传神经网络控制混沌新方法 .将小扰动技术和周期控制技术结合起来 ,用遗传算法训练神经网络 ,使之成为混沌控制器 .对Henon映射和Logistic映射的仿真结果说明控制器能产生小扰动控制序列信号 ,将混沌振荡转变成规则运动状态 .该... 详细信息

提出遗传神经网络控制混沌新方法 .将小扰动技术和周期控制技术结合起来 ,用遗传算法训练神经网络 ,使之成为混沌控制器 .对Henon映射和Logistic映射的仿真结果说明控制器能产生小扰动控制序列信号 ,将混沌振荡转变成规则运动状态 .该方法无需了解动态系统数学模型 ,具有一定抗噪声干扰能力 ,可将它推广应用到其他混沌系统的控制中 .

关键词：混沌系统遗传算法神经网络控制器小扰动技术周期控制技术控制Henon映射控制Logistic映射

Detection of bursts in neuronal spike trains by the mean inter-spike interval method

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Progress in Natural Science:Materials International 2009年第2期19卷 229-235页

作者： Lin Chena,b,Yong Deng c,Weihua Luo a,Zhen Wang a,Shaoqun Zenga,a Hubei Bioinformatics and Molecular Imaging Key Laboratory,Huazhong university of Science and Technology,Wuhan 430074,china b college of Mechanical engineering,Guangxi university,Nanning,530004,china c college of Optoelectronic Science of engineering,Huazhong university of Science and Technology,Wuhan 430074,china [a]Hubei Bioinformatics and Molecular Imaging Key Laboratory Huazhong University of Science and Technology Wuhan 430074 China [b]College of Mechanical Engineering Guangxi University Nanning 530004 China [c]College of Optoelectronic Science of Engineering Huazhong University of Science and Technology Wuhan 430074 China

Bursts are electrical spikes firing with a high frequency,which are the most important property in synaptic plasticity and information processing in the central nervous system. However,bursts are difficult to identify because bursting activities or patterns vary with phys-iological conditions or external stimuli. In this paper,a simple method automatically to detect bursts in spike trains is described. This method auto-adaptively sets a parameter (mean inter-spike interval) according to intrinsic properties of the detected burst spike trains,without any arbitrary choices or any operator judgment. When the mean value of several successive inter-spike intervals is not larger than the parameter,a burst is identified. By this method,bursts can be automatically extracted from different bursting patterns of cultured neurons on multi-electrode arrays,as accurately as by visual inspection. Furthermore,significant changes of burst variables caused by electrical stimulus have been found in spontaneous activity of neuronal network. These suggest that the mean inter-spike interval method is robust for detecting changes in burst patterns and characteristics induced by environmental alterations.

关键词： Inter-spike interval Bursts Spike trains Multi-electrode arrays

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基于K-均值的SVC的雷达辐射源信号识别

系统仿真学报 2008年第23期20卷 6333-6337页

作者：李序张葛祥西南交通大学电气工程学院成都610031

无监督学习是解决未知雷达辐射源信号识别的有效方法。Support Vector Clustering(SVC)是一种基于支持向量机的无监督聚类方法。SVC不仅时间复杂度高,而且在处理分布复杂、不均匀样本时,识别率较低。结合K-均值与SVC的优点,提出一种基... 详细信息

无监督学习是解决未知雷达辐射源信号识别的有效方法。Support Vector Clustering(SVC)是一种基于支持向量机的无监督聚类方法。SVC不仅时间复杂度高,而且在处理分布复杂、不均匀样本时,识别率较低。结合K-均值与SVC的优点,提出一种基于K-均值的SVC无监督聚类方法。此方法用K-均值聚类法对数据样本作初步的线性划分,将原数据样本划分成若干子样本。再将这些子样本分别映射到高维特征空间,用SVC方法去处理非线性问题。由K-均值聚类法将二次规划问题分解,大大减少SVC的计算量,降低时间消耗。相对于原数据样本,子样本的分布较为简单、均匀,容易找到更为合适的SVC参数值。对雷达辐射源信号进行聚类分析的实验结果表明,此方法处理速度较快,识别率较高。

关键词： K-均值聚类 Support Vector Clustering(SVC)无监督聚类雷达辐射源

The Multi-Agent Modeling and Calculated Analysis of Shop Logistics Scheduling in the Manufacturing Enterprises

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武汉理工大学学报 2006年第S1期28卷 376-380页

作者： CHEN Yong,LIN Feilong,WANG Xiao,TANG Kefeng (college of Mechanical & electrical engineering,Zhejiang university of Technology,Hangzhou 310032,china) college of Mechanical & electrical engineering Zhejiang University of TechnologyHangzhou 310032China

In this paper,the multi-agent model about shop logistics is set up. This model has 8 agents: raw materials stock agent,process agent,testing agent,transition agent,production information agent,scheduling agent,process agent and stock agent. The scheduling agent has three subagents: manager agent (MA),resource agent (RA) and part agent (PA). MA,PA and RA are communicating equally that guarantees agility of the whole MAS system. The part tasks pass between MA,RA and PA as an integer,which can guarantee the consistency of the data. We use a detailed example about shop logistics scheduling in a semiconductor company to explain the principle. In this example,we use two scheduling strategies: FCFS and SPT. The result data indicates that the average flow time and lingering ratio are changed using different strategy. It is proves that the multi-agent scheduling is useful.

关键词： modeling multi-agent scheduling shop logistics

A New Method of Transmission Network Flexible Planning Using the Connection Number

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Journal of Shanghai jiaotong university(Science) 2008年第4期13卷 436-442页

作者：金华征程浩忠 Department of electrical engineering Shanghai Jiaotong University

Because connection number can express and process synthetic uncertainties caused by various uncertainties in the transmission network planning, a connection number model (CNM) was presented to compare the values of connection number logically. This paper proposed a novel model for transmission network flexible planning with uncertainty. In the proposed planning model both certainty and uncertainty information were included, and the cost-benefit analysis method was used to evaluate the candidate schemes in the objective function. Its good adaptability and flexibility were illustrated through two examples.

关键词： transmission network planning uncertainty flexible planning connection number connection number model (CNM) blind number

Guest Editorial for Special Issue on Human-centered Intelligent Robots:Issues and Challenges

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 599-601页

作者： Zhijun Li C.L.Philip Chen Wei He IEEE college of Automation Science and engineering South China University of Technology Department of Computer and information Science Faculty of Science and Technology University of Macao School of Automation and electrical engineering University of Science and Technology Beijing

The special issue aims to address a broad spectrum of topics ranging from human-centered intelligent robots acting as a servant,secretary,or companion to intelligent robotic *** special issue publishes original papers of innovative ideas and concepts,new discoveries,and novel applications and business models relevant to the field of human-centered intelligent *** this special issue,modeling,intelligent control,

关键词： In Guest Editorial for Special Issue on Human-centered Intelligent Robots:Issues and Challenges

Application Study of Fillet Features for Vane Modeling in Hydraulic Turbine

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Application Study of Fillet Features for Vane Modeling in Hy...

2011 IEEE 12th International Conference on Computer-Aided Industrial Design & Conceptual Design

作者： Wei Cai college of Mechanical and electrical engineering Hohai university Changzhou china Ji Li college of Microelectronics jiaotong university Xian china

＜正＞This article focuses on the vane of mixed-flow hydraulic turbine with obvious fillet *** brings forward an optimized algorithm for vane model based on feature recognition and *** paper gives a brief introduction of fillet recognition theory and the basic principle of feature suppression *** on topological naming for NURBS modeling,it describes the suppression approach according to two different types of fillets and its method for *** algorithm is versatile and has a low rate of model *** has effectively reduced the calculation time and improved the efficiency of model design.

关键词： hydraulic turbine vane fillet feature feature recognition feature suppression

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主动式拥塞控制机制浅析

铁路计算机应用 2005年第1期14卷 42-44页

作者：石杰吴辰文兰州交通大学信息与电气工程学院兰州730070

分析了Internet上出现拥塞的基本原因,对比了已有的被动式路由器队列管理机制和新兴的主动式队列(AQM)管理方法的主要优缺点,叙述了AQM的指导算法“早期随机检测算法(RED)”,自适应控制在RED算法中的应用,提出了存在的问题和研究思路。

关键词：拥塞控制被动式队列管理主动式队列管理 RED 自适应控制