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2010 3rd International Conference on Advanced computer Theory and Engineering, ICACTE 2010

作者： Yu, Junle Sun, Baoshan College of Application Technology Tianjin Polytechnic University Tianjin China School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin China

ISBN: (纸本)9781424465408

This paper has surveyed the education evaluation method and technology both at home and abroad, and studied on the question of education evaluation information's mining. In view of the evaluation index system of high and secondary vocational education, on the basis of AHP method it has improved the deficiency of AHP's quantitative analysis. The modified Genetic Algorithm method is used to constructed the data mining model on the basis of AHP method. This paper has taken a scientific quantitative analysis on the evaluation model's weight, and provided a vastitude future of education evaluation index system's quantification. © 2010 IEEE.

关键词： Genetic algorithms

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A user model based on mobile environment

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Ruan Jian Xue Bao/Journal of Software 2011年第SUPPL. 2期22卷 120-128页

作者： Du, Yi Tian, Feng Dai, Guo-Zhong Wang, Feng Wang, Hong-An Intelligence Engineering Laboratory Institute of Software Chinese Academy of Sciences Beijing 100190 China School of Information Science and Engineering Graduate University Chinese Academy of Sciences Beijing 100190 China Yunnan Provincial Key Laboratory of Computer Application Kunming University of Science and Technology Kunming 650500 China

It's very important to help developers design user interface for application in an intelligent user interface. Nowadays, the number of mobile based applications increases greatly, but there are no proper user model to guide the design and development of user interface. This article takes different types of functions and parameters in consideration, and proposes a user model and user modeling method based on activity theory. In addition, this article describes the improved VSM algorithm in detail. Finally, an application and an informal experiment are designed to prove the efficiency of given user model. This work can be used to guide the design and development of mobile user interface under mobile environment. ©2011 Journal of Software.

关键词： User interfaces

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A new Electromagnetism-like algorithm with Chaos optimization

A new Electromagnetism-like algorithm with Chaos optimizatio...

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International Conference on Computational Aspects of Social Networks, CASoN'10

作者： Wang, Qing Hua Zeng, Jian Chao School of Electronic and Information Engineering Taiyuan University of Science and Technology Taiyuan China Division of System Simulation and Computer Application WeiPing Song School of Electronic and Information Engineering Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9780769542027

The Electromagnetism-like (EM) algorithmis a population-based stochastic global optimization algorithm that uses an attraction- repulsion mechanism to move particles toward optimality. A local search is an important factor influencing the accuracy of the solutions of the EM algorithm. In this paper, we propose a new local search procedure based on Chaos optimization algorithm(COA) to improve efficiency. The proposed method is applied to some test problems and compared with the original EM algorithm. © 2010 IEEE.

关键词： Global optimization

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Discussion on the method of basic computer education in characteristic university

Discussion on the method of basic computer education in char...

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2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010

作者： Wei, Fang School of Computer and Software Nanjing University of Information Science and Technology Nanjing China JiangSu Province Support Software Engineering RandD Center for Information Technology Application in Enterprise Suzhou China

ISBN: (纸本)9781424455157

The situation and questions of basic computer education in characteristics university are discussed firstly. Then the reform and construction of university computer-Based teaching are proposed. The paper has analyzed the different teaching approaches and addressed some teaching experiences for basic computer education. ©2010 IEEE.

关键词： Ablity development Basic computer education Characteristic university Employee oriented

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Parameter learning for multi-factors of entity answer extracting

Parameter learning for multi-factors of entity answer extrac...

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Zong, Huanyun Yu, Zhengtao Mao, Cunli Zou, Junjie Guo, Jianyi School of Information Engineering and Automation Kunming University of Science and Technology Kunming China Institute of Intelligent Information Processing Computer Technology Application Key Laboratory of Yunnan Province Kunming China

ISBN: (纸本)9781424459346

Entity extraction involves multi-factors, and the different factor has an impact on the answer in varying degrees, this paper presents a machine learning approach to parameter learning for entity answer. Firstly, in view of characteristics of the Question Answering System (QA), we define three elements of the text score, passage score and entity score which influenced the answer extraction, also give the relevant computational method about them. Then collect 400 entity answers of product, person, and organization according to TREC2009 entity task requirements. With the help of search engines, retrieve related pages and calculate the score of the various factors related to the answer respectively. Thereafter compute the score of entity answers according to a linear combination of the various factors. Define an initial score to extract the entity answer and get a sorted list of answers. Finally, mark these entities answer to obtain the correct marked answers corpus, then build parameter learning model by the EM algorithm iterate gradually to find the optimal answer weight of different factors that influenced the answer extraction. We carried on the experiment in the TREC2009 entity task;it shows very good results for this method. The accuracy of entity answer has achieved 88.93%. ©2010 IEEE.

关键词： Parameter estimation

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An approach to the interpretation of aerial image

An approach to the interpretation of aerial image

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International Conference on Machine Learning and Cybernetics

作者： Li, Ling-Ling Jin, Tai-Song Shi, Hua Li, Cui-Hua Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou 450015 China School of Information Science and Technology Xiamen University Fujian 361005 China

ISBN: (纸本)9781424465262

This paper presents an aerial image parsing approach. Firstly, scene categories of aerial image is extracted based on global feature-Spatial Envelope in the top-down step;secondly, the candidate proposals of object categories is classified in bottom-up step;finally, the bottom-up proposals are verified by top-down cues, and the parsing graph of the whole aerial image is obtained. The test on the aerial image dataset shows that the proposed approach can effectively segment the object categories from the aerial image in complex scene compared with the Bottom-Up detectors. © 2010 IEEE.

关键词： Antennas

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New approach to path explosion problem of symbolic execution

New approach to path explosion problem of symbolic execution

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International Conference on Pervasive Computing, Signal Processing and applications

作者： Xu, Xiao Zhang, Xiao-Song Li, Xiong-Da School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Chengdu Informationization Technique Application Development Center Chengdu 610017 China

ISBN: (纸本)9780769541808

This paper is dedicated to the study of Symbolic Execution and improves the core algorithm of it using Heuristic learning, search and Function Abstraction to effectively address the path explosion problem, which will trigger the vulnerabilities that the traditional method can not find and improve the efficiency, precision and accuracy of software vulnerability discovery. © 2010 IEEE.

关键词： Heuristic methods

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Entity answer extraction of web table

Entity answer extraction of web table

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Xu, Yangbo Yu, Zhengtao Mao, Cunli Wang, Yasheng Guo, Jianyi School of Information Engineering and Automation Kunming University of Science and Technology Kunming 650051 China Institute of Intelligent Information Processing Computer Technology Application Key Laboratory of Yunnan Province Kunming 650051 China

ISBN: (纸本)9781424459346

This paper presents an entity answer extraction method based on list web table. Firstly, extract table from page using the features of web page table and label, segment the table that includes the potential entity answers by calculating the relevance of web table's title and query context, merge the table elements of each column according to table properties, and merge the web table's title with the merged elements of column again. Secondly, using merged passage as context of entity recognition, and recognize the entity for each element of the table, thus get the probability of the column elements belongs to the same type of entity answer, and locate the passages of entity answers and the entity answers. Finally, we conduct the experiment in the task of Entity Track of TREC2009. It turns out that the proposed method shows a very good result, the accuracy of entity answer extraction for web table has achieved 99.08%. ©2010 IEEE.

关键词： Websites

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Self-adapting semantic sensitivities for Semantic Similarity based Crossover

Self-adapting semantic sensitivities for Semantic Similarity...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

作者： Uy, Nguyen Quang McKay, Bob O'Neill, Michael Hoai, Nguyen Xuan Natural Computing Research and Application Group University College Dublin Ireland School of Computer Science and Engineering Seoul National University Korea Republic of School of Information Technology Hanoi University Viet Nam

ISBN: (纸本)9781424469109

This paper presents two methods for self-adapting the semantic sensitivities in a recently proposed semantics-based crossover: Semantic Similarity based Crossover (SSC) [1]. The first self-adaptation method is inspired by a self-adaptive method for controlling mutation step size in Evolutionary Strategies (1/5 rule). The design of the second takes into account more of our previous experimental observations, that SSC works well only when a certain portion of events successfully exchange semantically similar subtrees. These two proposed methods are then tested on a number of real-valued symbolic regression problems, their performance being compared with SSC using predetermined sensitivities and with standard crossover. The results confirm the benefits of the second self-adaption method. © 2010 IEEE.

关键词： Semantics

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Provably secure certificateless authenticated key agreement protocol in the standard model

Provably secure certificateless authenticated key agreement ...

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International Conference on Pervasive Computing, Signal Processing and applications

作者： Wang, Xiaofen Li, Xiongda School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China National Teaching Center of Computer Experiment University of Electronic Science and Technology of China Chengdu 611731 China Chengdu Information Technology Application Development Center Chengdu 610072 China

ISBN: (纸本)9780769541808

Inspired by the certificateless public key encryption scheme proposed by Jong et al, we present a new certificateless authenticated key agreement protocol (CLAK). It is provably secure in the standard model. CLAK protocol provides perfect forward secrecy. Compared with a certificateless authenticated key agreement protocol which is only provable secure in the random oracle model, the new protocol is improved with respect to the security properties, computation and communication cost. © 2010 IEEE.

关键词： Public key cryptography

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