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Chinese Control Conference (CCC)

作者： Chao-Chao Li Kai Chi Fang-Ping Fu Wen-Gang Che Qing-Jiang Zhao School of Information Engineering and Automation Kunming University of Science and Technology 650051 China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming University of Science and Technology 650051 China Department of Physics and Technology Kunming University 650031 China

The efficient markets hypothesis (EMH) maintains that market prices fully reflect all available information such as public or private information. Therefore, the study of analyzing the reaction of stock price to the information has attracted more and more attention. Here we proposed an effective measuring method using fuzzy c-means (FCM) for describing the reaction to public information, and further analyzing and quantifying the intensity. Taking the deposit reserve rate, a kind of typical public information, as an example, the clustering results show that there are there prominent characters of reaction in Shanghai A-share market. Furthermore, the empirical results indicate that the clustering technique has a good effect in classifying the intensity of reaction of stock market to public information.

关键词： Electronic mail Book reviews Finance Stock markets Physics Biological system modeling

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Fuzzy time series forecasting for RMB's exchange rate based on FCM

Fuzzy time series forecasting for RMB's exchange rate based ...

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Chinese Control Conference (CCC)

作者： Qing-Jiang Zhao Kai Chi Fang-Ping Fu Chao-Chao Li Wen-Gang Che Department of Physics and Technology Kunming University 650031 China School of Information Engineering and Automation Kunming University of Science and Technology 650051 China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming 650051 China

Forecasting exchange rate is one of the most important research topics in financial time series field. In this paper, the author combine fuzzy time series model with fuzzy clustering method to predict the USD/CHY exchange rate. The empirical results show that this method can obviously obtain higher forecasting precision than some traditional ones.

关键词： Forecasting Time series analysis Fuzzy sets Electronic mail Exchange rates Prediction algorithms Genetics

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Using an integrated feature set to generalize and justify the Chinese-to-English transferring rule of the 'ZHE' aspect

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Journal of Zhejiang University-science C(computers and Electronics) 2010年第9期11卷 663-676页

作者： Yun-hua QU Tian-jiong TAO Serge SHAROFF Narisong JIN Ruo-yuan GAO Nan ZHANG Yu-ting YANG Cheng-zhi XU School of International Studies Zhejiang University Hangzhou 310058 China Institute of Fluid Physics China Academy of Engineering Physics Mianyang 621900 China Center for Translation Studies University of Leeds Leeds LS2 9JT UK Center for Applied Linguistics Hangzhou Normal University Hangzhou 310012 China School of Computer Science and Technology Zhejiang University Hangzhou 310027 China Sensor Network and Application Research Center Graduate School Chinese Academy of Sciences Beijing 100049 China School of Economics Zhejiang University Hangzhou 310027 China Zhejiang University City College Hangzhou 310015 China

In machine translation(MT) practice,there is an urgent need for constructing a set of Chinese-to-English aspect transferring rules to define the transferring *** integrated feature set was used to generalize and justify the Chinese-to-English transferring rule of the 'ZHE' aspect(ZHE Rule).A ZHE classification model was built in this *** impacts of each set of temporal,lexical aspectual,and syntactic features,and their integrated impacts,on the accuracy of the ZHE Rule were *** 600 misclassified corpus sentences were manually examined.A 10-fold cross-validation was used with a decision tree *** main results are:(1) The ZHE Rule was generalized and justified to have a higher accuracy under the two metrics:the precision rate and the areas under the receiver operating characteristic curve(AUC).(2) The temporal,lexical aspectual,and syntactic feature sets have an integrated contribution to the accuracy of the ZHE *** syntactic and temporal features have an impact on ZHE aspect derivations,while the lexical aspectual features are not predictive of ZHE aspect derivation.(3) While associated with active verbs,the ZHE aspect can denote a perfective *** study suggests that the temporal and syntactic features are the predictive ZHE aspect classification features and that the ZHE Rule with an overall precision rate of 80.1% is accurate enough to be further explored in MT *** machine learning method,decision tree,can be applied to the automatic aspect transferring in MT research and aspectual interpretations in linguistic research.

关键词： ZHE aspect transferring rule(ZHE Rule) Machine learning Decision tree Aspect classification Integrated feature set

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Robust Incremental LMS over Wireless Sensor Network in Impulsive Noise

Robust Incremental LMS over Wireless Sensor Network in Impul...

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International Conference on Computational Intelligence and Communication Networks (CICN)

作者： T. Panigrahi G. Panda B. Mulgrew Babita Majhi Department of Electronics and Communication Engineering National Institute of Technology Rourkela India School of Electrical Science Indian Institute of Technology Bhubaneswar India Institute for Digital Communication University of Edinburgh UK Department of Computer Application SOA University Bhubaneswar India

ISBN: (纸本)9781424486533

Distributed wireless sensor networks have been proposed as a solution to environment sensing, target tracking, data collection and others. Energy efficiency, high estimation accuracy, and fast convergence are important goals in distributed estimation algorithms for WSN. This paper studies the problem of robust adaptive estimation in impulsive noise environment using robust cost function like Wilcox on norm and error saturation nonlinearity. The incremental cooperative scheme conventionally used in sensor network in which each node have local computing ability and share them with their predefined neighbors, is not robust to impulsive type of noise or outliers. In this paper the robust norm is introduced in incremental cooperative distributed network to estimate the desired parameters in presence of Gaussian contaminated impulsive noise.

关键词： Noise Robustness Least squares approximation Signal processing algorithms Estimation Mathematical model Wireless sensor networks

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Multiobjective evacuation route assignment model based on genetic algorithm

Multiobjective evacuation route assignment model based on ge...

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International Conference on Geoinformatics

作者： Qiuping Li Zhixiang Fang Qingquan Li Xinlu Zong Engineering Research Center of Spatio-Temporal Data Smart Acquisition and Application Ministry of Education of China Wuhan University of China Wuhan China Wuhan University Wuhan Hubei CN School of Computer Science and Technology Wuhan University of Technology Wuhan China

ISBN: (纸本)9781424473014

Emergency evacuation in public places becomes a research focus in recent decades. One major objective of evacuation is to maximize the efficiency of the whole evacuation system. The paper proposes a multiobjective evacuation route assignment model to plan an optimal egress route set for the individual evacuees. The three objectives in the proposed model are to minimize the total evacuation time, minimize the total travel distance of all the evacuees and minimize the congestion during the evacuation process. These objectives need to be satisfied simultaneously while some of them conflict with each other. The travel speed on each road segment is related with the time and the number of evacuees on it during a certain time period. The congestion of a road segment is modeled as the density of evacuees passing it in time and space dimensions. The evacuation route assignment problem can be treated as a combinatorial optimization problem. A multiobjective optimization model based genetic algorithm is adopted to solve the proposed evacuation routing problem. Wuhan Sport Center in Wuhan city of China was taken as the experiment scenario to test the performance of the proposed algorithm. The results showed that it can provide some system optimal evacuation plans. Meanwhile, the multi-objective optimization model based genetic algorithm can produce a pareto optimal set rather than single optimal point, thus the model can give alternative strategies for the evacuation policy makers.

关键词： Optimization Biological cells Encoding Buildings Roads Cities and towns Evolutionary computation

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An integrated computing environment for bio-molecular networks

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Journal of Convergence Information Technology 2010年第4期5卷

作者： Xie, Jiang Mao, Guoyong Zhang, Shilin Zhang, Wu School of Computer Engineering and Science Shanghai University Shanghai 200072 China Institute of Systems Biology Shanghai University Shanghai 200444 China Changzhou Key lab for Research and Application of Software Technology Changzhou 213002 China High Performance Computing Center Shanghai University Shanghai 200072 China

With the development of systems biology, more and more researchers focus on the study of bio-molecular networks. In recent years, researchers in different fields have accumulated a large number of biological experimental data and algorithms for analysis and calculation of bio-molecular networks, but these data and methods are relatively independent, difficult to be utilized by biologists. Based on PSE-Bio, a problem solving environment for bioinformatics, this paper describes an integrated computing environment for bio-molecular networks in order to achieve molecular homology analysis, bio-molecular network building, querying, statistics and visualization.

关键词： Bioinformatics

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Identifying reaction of stock price to public information based on fuzzy c-means clustering

Identifying reaction of stock price to public information ba...

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作者： Li, Chao-Chao Chi, Kai Fu, Fang-Ping Che, Wen-Gang Zhao, Qing-Jiang School of Information Engineering and Automation Kunming University of Science and Technology Kunming 650051 China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming University of Science and Technology Kunming 650051 China Department of Physics and Technology Kunming University Kunming 650031 China

ISBN: (纸本)9787894631046

关键词： Deposits

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Comparing the optimization functions and methods of community detection

Comparing the optimization functions and methods of communit...

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2010 International Conference on Future Information Technology and Management engineering, FITME 2010

作者： Liu, Jinxia Zeng, Jianchao Xue, Yaowen College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan China College of Economics and Management Sbanxi Normal University Linien China College of Economics and Management Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781424490882

Detecting and characterizing the community structure of complex network is fundamental. There are many algorithms, were sorted to three types of criterion: mathematical method, mechanism of community structure and optimization method. In this paper, we discuss the optimization methods of community detection, compare and analyse the objective functions and solution methods. Based on this, we develop a new optimization function, named community quantification which is accurate for many types of networks. © 2010 IEEE.

关键词： Complex networks

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A New Strategy of Preparing Multiwall Carbon Nanotube/PC/ABS Nanocomposite by a Reactive Compatibilizer

A New Strategy of Preparing Multiwall Carbon Nanotube/PC/ABS...

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第七届亚澳复合材料会议

作者： Lung-Chien Wu Hsu-Chiang Kuan Shih-Liang Huang Mei-Huei Tsai Min-Chi Chung Chia-Hsun Chen Department of Chemical and Materials Engineering National Chin-Yi University of Technology411Taichung countyTaiwan Department of Computer Application EngineeringFar East University 744Tainan countyTaiwan Department of Automation and Control EngineeringFar East University 744Tainan countyTaiwan Department of Materials Science and EngineeringFar East University 744Tainan countyTaiwan

A novel multiwall carbon nanotube(MWNT) / PC/ABS nanocomposite was prepared in this *** modifier, vinyl trimethoxy silane (VTMOS) and maleic anhydride (MA), were grafted to the MWNT surface via the free radical reaction.A reactive compatibilizer, styrene maleic anhydride(SMA), was employed to produce the chemical bonding between PC/ABS and the modified *** physical properties of these carbon nanotube / PC/ABS resin nanocomposite was studied.

关键词： Compatibilizer Functionalize Carbon nanotubes PC/ABS

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Lecture Notes in Business Information Processing: Preface

Lecture Notes in Business Information Processing

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Lecture Notes in Business Information Processing 2010年 62 LNBIP卷 V-VI页

作者： Sicilia, Miguel-Angel Kop, Christian Sartori, Fabio University of Alcalá Computer Science Department Ctra. Barcelona km. 33.6 28871 Alcalá de Henares Madrid Spain Alpen-Adria-Universität Klagenfurt Angewandte Informatik/Application Engineering Universitätsstraße 65-67 9020 Klagenfurt Austria viale Sarca 336 20126 Milan Italy

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