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Spatial continuity incorporated multi-attribute fuzzy clustering algorithm for blood vessels segmentation

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Science china(Information Sciences) 2010年第4期53卷 752-759页

作者： HAO JuTao1*, ZHAO JingJing2 & LI MingLu3.1school of Optical-electrical and computer Engineering, University of {3. for Science and technology, {3. 200093. china 2department of electrical Engineering, {3. University of electric Power, {3. 200090, china 3.7} of computer Science and Engineering, {3. Jiaotong University, {3. 200240, china 1. school of Optical-electrical and computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China2. Department of Electrical Engineering Shanghai University of Electric Power Shanghai 200090 China3. Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai 200240 China

A three-dimensional representation of vasculature can be extremely important in image-guided neurosurgery, pre-surgical planning. In this paper, a spatial continuity incorporated multi-attribute fuzzy clustering algorithm (MAFCM S) is proposed to segment entire blood vessels from TOF MRA images. This clustering method takes both the intensity information and the geometrical information into account, while most of the cur- rent clustering methods only deal with the former. In this method, a new dissimilarity measure, which integrates the intensity and the geometry shape dissimilarity, is introduced. Because of the presence of the geometrical information, the new measure is able to differentiate the pixels with similar intensity values within different geometrical shape structures. Experimental results show that the new algorithm can get better segmentation.

关键词： fuzzy c-means clustering scale space analysis spatial continuity blood vessel segmentation multi-attribute fuzzy clustering

Dielectric Properties of Capacitive-Type Humidity Sensor Made under Different Pressures

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稀有金属材料与工程 2006年第S3期 366-368页

作者： Jing Wang~1 Xiao-hua Wang~2 (1.school of Electron and Information Engineering,Dalian University of technology,Dalian 116023.china) (2.{3. of computer Science and Information,shanghai University of electric Power,shanghai 200090,china)

Capacitive humidity sensors were made of nanometer barium *** pellets were prepared under different pressures between 3.20N to 7850N *** capacitance changes in three orders of magnitude in the relative humidity range of 10%～98%,indicating high humidity sensitivity of the *** a certain measuring frequency,the capacitance of the sensors increases as increasing of the preparation pressure,while the sensitivity of the sensors basically remains the *** frequencies corresponding to the peaks of the dielectric loss of the sensors move to the higher frequency direction as increasing of the relative *** a certain humidity,the frequencies corresponding to the peaks of the dielectric loss move to the higher frequency direction as increasing of the preparation pressure.

关键词： humidity sensor capacitive-type preparation pressure humidity sensing property

Forecasting of Stock Returns by Using Manifold Wavelet Support Vector Machine

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Journal of shanghai Jiaotong university(Science) 2010年第1期15卷 49-53页

作者：汤凌冰盛焕烨汤凌霄 department of computer Science and Engineering Shanghai Jiaotong University department of computer and Electronic Engineering Hunan Business College school of Economics Changsha University of Science & Technology

An admissible manifold wavelet kernel is proposed to construct manifold wavelet support vector machine(MWSVM) for stock returns *** manifold wavelet kernel is obtained by incorporating manifold theory into wavelet technique in support vector machine(SVM).Since manifold wavelet function can yield features that describe of the stock time series both at various locations and at varying time granularities,the MWSVM can approximate arbitrary nonlinear functions and forecast stock returns *** applicability and validity of MWSVM for stock returns forecasting is confirmed through experiments on real-world stock data.

关键词： stock returns forecasting kernel manifold wavelet support vector machine (MWSVM)

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Using Genetic Algorithms and Monte Carlo to Price Convertible Bond

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Using Genetic Algorithms and Monte Carlo to Price Convertibl...

2010 2nd IEEE International Conference on Information and Financial Engineering(ICIFE2010)

作者： Lin Li 1st school of business East china University of Science and {3. shanghai china 20023. Lele Wang 2nd Financial Engineering department Institute of shanghai Securities Co. Ltd shanghai china 200001

the aim of paper is to use Genetic algorithm and Monte Carlo to price convertible bond with finite maturity. As we known, Monte Carlo is hardly applied to price the derivatives with optimal items. Combined with Genetic algorithm and Cubic sample function, Monte Carlo not only solves the convertible bond with optimal conversion items, but also prices that with long-range dependence property. By evaluating the controlling points of cubic sample function, the optimal convertible boundary is showed. Furthermore, the proposed method can be applied to price derivatives with optimal items, such as American option and optimal investment with muti-risky assets.

关键词： component Genetic Algorithm Monte Carlo convertible bond Conversion item.

A DESIGN FRAMEWORK FOR ONLINE SUPPORT SYSTEMS OF E-GOVERNMENT IN china

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A DESIGN FRAMEWORK FOR ONLINE SUPPORT SYSTEMS OF E-GOVERNMEN...

The Ninth International Conference on Electronic business

作者： Shasha Deng~(1 2) Pengzhu Zhang~1 1 department of Management Information Systems shanghai Jiaotong University shanghai 200052 {3. 2 department of computer Science shanghai University of electric Power shanghai 200090 {3.

＜正＞With development of e-government systems,there are many big changes in Chinese government’s ***,the SARS revealed low efficiency is still *** the analysis of the factors affected on the efficiency,we find that traditional DSS is hard to support decision maker and that online support systems may improve the officials’ work effectiveness ***, little attention has been given to the *** this paper,we will discuss the cultural characteristics of Chinese *** then, based on the theory of Time-based Competition in governmental workflow,we summarize the four characteristics of online support systems. Furthermore,we propose the design framework for online support systems（OSS） in context of e-government in china,which consists of three major parts:the single OSS,the collaborative OSS and the mobile *** the detailed function and procedure of the three parts are *** shows that the OSS contributes to developing efficiency in the official decision making.

关键词： Online Support Systems E-government Systems Time-based Competition

Sharing of Fixed Wavelength Converters in All Optical Packet Switch

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Sharing of Fixed Wavelength Converters in All Optical Packet...

2006 10th International Conference on Communication technology（ICCT 2006）

作者： Junjie Yang Hao Zhang Zhengyi Shi Faculty of computer & Information Engineering shanghai University of electric Power shanghai china Tong Ye department of Electronic Engineering shanghai Jiao Tong University shanghai china

This paper addresses the performance of fixed wavelength converters （FWCs） in resolving optical packet contentions. In order to realize an acceptable packet loss performance, a structure called AFWC （Array of Fixed Wavelength Converters） is proposed. The function of an AFWC is similar to that of a group of tunable wavelength converters, however, it can be shared among all input wavelength channels. The performances of an optical packet switch with AFWCs are evaluated by simulation experiments.

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Consensus Problem of Second-order Multi-agent System in Directed Network:A Matrix Analysis Approach

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Consensus Problem of Second-order Multi-agent System in Dire...

2010 Chinese Control and Decision Conference

作者： Jidong Jin~(1,3.,Yufan Zheng~(1,2),Haibin Shao~1,Linglin Shu~1 1.department of Mathematics,shanghai University,shanghai 200444,{3. 2.department of electrical and Electronics Engineering,The University of Melbourne,Australia 3.department of computer Science and technology,Capital University of Economics and business,Beijing 100070,{3.

In this paper the consensus of multi-agent system in directed network,where the agent is described by a second-order dynamics,is *** control protocol depends on two parameters,***-cooperative parameter w>0 and velocity-cooperation parameter w>0,and the Laplacian associated with communication *** definition of consensus in this paper is slightly different from that used in some existent *** define the notion called *** on a matrix decomposition of the Laplacian,we define the notions called basic independent system and basic non-independent system of a multi-agent system under directed ***,using matrix analysis approach the necessary and sufficient conditions for state inertia-consensus and/or velocity inertia-consensus, are given for the second-order ***,the collective behavior of the system is discussed subject to the cases that system achieves consensus or does *** also provide some simulation results to show the validation of our results.

关键词： Frobinus Canonical Form Basic Independent Subsystem Weighted Center Consensus

Research on a Back-Propagation Neural Network Based Q Learning Algorithm in Multi Agent System

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Research on a Back-Propagation Neural Network Based Q Learni...

2004 International Symposium on Distributed Computing and Applications to business, Engineering and Science

作者： Lin Ouyang school of computer Science and technology Wuhan University of technology Wuhan Hubei 43.063.china Qingping Guo school of computer Science and technology Wuhan University of technology Wuhan Hubei 43.063.china Santai Ouyang department of electric and Information Engineering Hunan Institute of technology Xiangtan Hunan 411104 china

＜正＞Following the development of the artificial intelligence,the research of reinforcement learning of multi agent and the neural network become more and more *** Q learning algorithm,as a kind of reinforcement learning,is a kind of online learning *** increasing of the scale of the problem,the exploration space becomes too enormous to deal with by the traditional Q learning *** neural network,as a kind of self-organization, self-adaptive and supervised method on learning,can hide the inner continuous connection between the input and the output of *** combination of the neural network with Q learning algorithm,which called back-propagation neural network based Q learning algorithm（BPNNQ）,can reduces the exploration space remarkably,by take advantage of the neural network and the Q learning reinforcement learning *** to avoid falling into local optimal solution is another difficult problem in machine learning. Through the using of the Boltzmann distribution strategy in the BPNNQ algorithm,the locale optimal solution is solved to a certain extent.

关键词： Multi agent Neural Network Q Learning Reinforcement Learning

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XML映射器的实现

计算机工程与应用 2004年第4期40卷 137-139,187页

作者：何忠张申生上海交通大学计算机科学与工程系上海200030

在B2B(business-to-business)电子商务中,对异构信息进行有效地交换及共享已经成为迫切需要解决的问题。XML使用一种简单而又灵活的标准格式,为基于WEB的应用提供了一个描述数据和交换信息的有效手段。文章提出了一个XML映射器的实现框... 详细信息

在B2B(business-to-business)电子商务中,对异构信息进行有效地交换及共享已经成为迫切需要解决的问题。XML使用一种简单而又灵活的标准格式,为基于WEB的应用提供了一个描述数据和交换信息的有效手段。文章提出了一个XML映射器的实现框架,给出了该映射器的几个核心算法并结合实例说明了其运行过程。

关键词： XML 数据交换电子商务

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