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Research on Trusted Federated Identity Management and Its Application

Research on Trusted Federated Identity Management and Its Ap...

引用

International Workshop on Education technology and computer Science, ETCS

作者： Lianzhong Liu Junxiu Gao Key Laboratory of Beijing Network Technology School of Computer Science and Engineering Beijing Aeronautics and Astronautics University Beijing China

It is hard to judge whether one subject is to be trusted where federation identity management only focuses on identity trust achieved by credentials the subject hold. So we propose a behavior trust-based federation identity management mechanism. The trust value was modified according to the subjectpsilas behavior and it will be employed in identity management procedure including identity mapping and identity provision. Then policy-based trust value monitor will adjust the subjectpsilas inter-domain access permissions so as to encourage the subject to act properly.

关键词： Identity management systems Resource management Educational technology Space technology computer science computer network management technology management Engineering management Monitoring Access control

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A Method of Query over Encrypted Data in Database

A Method of Query over Encrypted Data in Database

引用

International Conference on computer Engineering and technology, ICCET

作者： Lianzhong Liu Jingfen Gai Key Laboratory of Beijing Network Technology School of Computer Science and Engineering Beijing Aeronautics and Astronautics University Beijing China

The encryption mechanism is an effective way to protect the sensitive data in database from various attacks. When the data is encrypted, the query performance degrades greatly. How to query encrypted data efficiently becomes a challenge. In this paper, a scheme to support query over encrypted data is proposed. Firstly, we extend two-phase framework to complete query, constructing different indexes for different data types. A new method to construct Bucket index for numeric data is proposed and bloom filter compression algorithm is used for the character string, which will be saved in database as a numeric data. We analyzed the false positive probability of bloom filter to get optimal parameters. Experiment results show the performance of our scheme has improved.

关键词： Cryptography Databases Protection Data engineering Space technology Indexes Data security Matrix converters Matched filters computer networks

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A novel mining Method of Global Negative Association Rules in Multi-Database

A novel mining Method of Global Negative Association Rules i...

引用

IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Hong Li Yijun Shen Xuegang Hu Key Laboratory of Network and Intelligent Information Processing Department of Computer Science and Technology Hefei University of Technology Hefei China School of Computer & Information Hefei University of technology Hefei China

ISBN: (纸本)9781424447374;9781424447541

Mining negative association rules in multi-database has attracted more and more attention. Most existing research focuses on unifying all negative rules discovered from different single databases into a single view. This paper presents a novel method for mining global negative association rules in multi-database. This method produces some infrequent itemsets of potential interest by scanning constructed multi-database frequent pattern tree, and extracts negative association rules of interest according to the proposed correlation model from multi-database. Experimental results show the effectiveness and efficiency of the proposed algorithm.

关键词： Data mining Association rules Itemsets Transaction databases Application software Laboratories Intelligent networks Information processing computer science Tires

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The Performance Optimization of CLIPS

The Performance Optimization of CLIPS

引用

2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

作者： Yuxin Ding Qing Wang Jiahua Huang Key Laboratory of Network Oriented Intelligent Computation Department of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen China

CLIPS is an expert system tool which provides a complete environment for the construction of rule and/or object based expert systems. Because of its portability, extensibility, capabilities, and low-cost, CLIPS has received widespread acceptance. As a production system CLIPS's performance rapidly decreases as the number of working memory elements increases. To address this problem, this paper is aimed at speeding up CLIPS in the case of dealing with large amount of facts and changeable facts. In this paper two measures are adopted to improve CLIP's performance, firstly RETE algorithm which is used as the rule conditiontesting algorithm in CLIPS are replaced with TREAT algorithm. Secondly some practical techniques are employed when implementing TREAT algorithm such as recording partial matches, hashing the alpha node, adding rule group. Experimental results show that the two measures can effectively improve CLIPS’s performance.

关键词： CLIPS TREAT RETE optimization production system

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Improvement of MODIS 8-day LAI/FPAR product with temporal filters to generate high quality time-series product

Improvement of MODIS 8-day LAI/FPAR product with temporal fi...

引用

2009 Joint Urban Remote Sensing Event

作者： Huifang, Zhang Runhe, Shi Honglin, Zhong Peiqing, Qu Juan, Sun Wenpeng, Lin Su, Li Key Lab. of Geographic Information Science Ministry of Education East China Normal University Shanghai China Key Laboratory of Ecosystem Network Observation and Modeling IGSNRR CAS Beijing China Key Lab. of Urban Ecology and Environment Restoration Shanghai Normal University Shanghai China Computer College Beijing Technology and Business University Beijing China

ISBN: (纸本)9781424434619

Numerous studies have reported that the timeseries terrestrial parameters such as the Normalized Difference Vegetation Index (NDVI), Leaf Area of Index (LAI), Fraction of Absorbed Photosynthetic Active Radiation (FPAR), derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, have played significant roles in researching the global environment, terrestrial ecosystems and related ecological researches. However, the remotely sensed signals are interfered severely by atmospheric conditions especially clouds and such noises exists in the time-series products as well. Therefore, to obtain a high quality time-series of terrestrial parameter is a necessary step before further studies. At present several methods have been applied to reduce the noise to construct a fine time-series of NDVI, but few studies concerning the other key terrestrial parameters, such as LAI, FPAR etc. In this paper, after comparing general methods in literatures, we designed a new method based on the Savitzky-Golay filter, which was applied to improve the quality of MODIS 8-Day LAI/FPAR Product to generate timeseries of LAI and FPAR with high quality. Our validation results indicate that more smooth and realistic time-series curves of LAI/FPAR can be obtained by using this new method, which exemplify the dynamic change of forests, crop or plants and key input parameters in modeling the complex land surface processing. ©2009 IEEE.

关键词： Time series

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An Algorithm for Evaluating Credibility of CNO Intelligence Information Using Bayesian Estimation

An Algorithm for Evaluating Credibility of CNO Intelligence ...

引用

International Conference on Information Science and Engineering (ICISE)

作者： Chunhe Xia Yunyun Sun Shan Yao Songmei Zhang Xiaojian Li Key Laboratory of Beijing Network Technology Beihang University Beijing China College of Computer Science & Information Technology Guangxi Normal University Guilin China

ISBN: (纸本)9781424449095

Intelligence activity is one of the most important activities during computer network Operation (CNO) command and decision-making process. Specially, evaluation of Intelligence Information credibility is the basic element of intelligence activity and process. This paper presents an algorithm evaluating credibility of intelligence information using Bayesian estimation AECIIB, applying to signal information depicting running status of CNO targets. AECIIB makes use of evaluators' past experience and prior distribution established in advance based on historical information about the same or similar target, and inducts Bayesian estimation theory into the integration of priori knowledge and posterior knowledge to adjust distributed parameter of prior distribution, which can be used to calculate credibility of targets' running status according to its probability of occurrence in prior distribution. In this paper, this algorithm is described in detail. The following experiment describes computation process of credibility evaluation in detail which proves that prior distribution can be changed along with new information and credibility of information is derived from the latest knowledge.

关键词： Bayesian methods Information analysis Algorithm design and analysis Intelligent networks Laboratories computer networks Estimation theory Probability Delay Information science

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Generating the semantic containers for the query interfaces of deep web

Generating the semantic containers for the query interfaces ...

引用

International Conference on Management and Service Science, MASS 2009

作者： Hao, Liang Wanli, Zuo Jian, Chen Yunge, Mao College of Computer Science and Technology Jilin University Changchun 130012 China Department of Information Changchun Taxation College Changchun 130117 China Key Laboratory of Symbol Computation Knowledge Engineering of the Ministry of Education Changchun 130012 China Network Center of Changchun Taxation College Changchun 130117 China

ISBN: (纸本)9781424446391

With the myriad emergence of the online Web Database, the Web is divided into a two layers information platform which is composed of Surface Web and Deep Web. The huge information hidden in the Deep Web is higher in the quality than the Surface Web. This interests the researchers of the traditional Database community. In order to adapt the Web community, the idea of information fusion is further transformed. However, the nature of the Web is great different from the Database in structure, principle and function. Query reformulation is one of the technical challenges. The only accessible method to get the information in the Deep Web is through the query interfaces provided by the Website of Deep Web. There are many semantic restrictions between the attributes in the query interface. Some attributes are co-occurred and the others are exclusive sometimes. To generate a valid query, we have to reconcile the key attributes and their semantic relations. To address the problem, a method based on the HTML codes is presented in this paper. Different kinds of semantic containers can be got through analyzing the codes of the query interface. The experiment is carried out on the famous Dataset of Deep Web to show the feasibility of the method. ©2009 IEEE.

关键词： Semantics

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Efficient Mining of Strong Negative Association Rules in Multi-Database

Efficient Mining of Strong Negative Association Rules in Mul...

引用

International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Hong Li Xuegang Hu Key Laboratory of Network and Intelligent Information Processing Department of Computer Science and Tchnology Hefei University Hefei China School of Computer & Information Hefei University of technology Hefei China

Strong negative association rules can reveal irrelevances hidden between frequent itemsets. Existing research has made significant efforts in discovering both positive and negative association rules from single database. This paper presents an efficient method for mining strong negative association rules in multi-database. The method produces some strong negative relational patterns (a kind of infrequent itemsets) by pruning and scanning constructed multi-database frequent pattern tree, and extracts strong negative association rules according to the proposed correlation model. The experimental results show the effectiveness and efficiency of the proposed algorithm.

关键词： Data mining Association rules Itemsets Transaction databases Decision making Laboratories Intelligent networks Information processing computer science Relational databases

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A Road Segmentation and Road Type Identification Approach Based on New-Type Histogram Calculation

A Road Segmentation and Road Type Identification Approach Ba...

引用

Congress on Image and Signal Processing, CISP

作者： Li Zhang Er-yong Wu School of Computer Science Hangzhou Dianzi University Hangzhou China Zhejiang Provincial Key Laboratory of Information Network Technology University of Zhejiang Hangzhou China

By analyzing the characteristics of off-road images, a new and computationally efficient algorithm of road segmentation and road type identification for autonomous land vehicle (ALV) navigation system based on the proposed new-type histogram calculation was established. The new-type histogram is a new image, not a curve. It is also directional. It makes a statistic of the pixels under some special direction. With the histogram images, each pixel in the original image is given a threshold separately, thus the road images are correctly segmented. Moreover, the new-type histogram image could be used to identify road type. It avoids the deficiency that road images are wrongly segmented by reason that the preset road model does not fit in the real scene in the conventional methods. The proposed method does not need any extraction of the relevant information in the image (texture of the road, shadows, road edges, etc.). The method is evaluated on thousands of the cross-country road images under various lighting conditions. The experimental results demonstrate the method's accuracy, feasibility and robustness. It increases the segmentation accuracy to an extent. This would be a potentially significant contribution to the active area of road segmentation in the ALV navigation system.

关键词： Histograms Roads Image segmentation Navigation Image analysis Algorithm design and analysis Land vehicles Statistics Pixel Layout

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Monocular vision SLAM for large scale outdoor environment

Monocular vision SLAM for large scale outdoor environment

引用

IEEE International Conference on Mechatronics and Automation

作者： Eryong Wu Wenhui Zhou Guojun Dai Qicong Wang Zhejiang Provincial Key Laboratory of Information Network Technology University of Zhejiang Hangzhou China Department of Computer Science & Technology Hangzhou Dianzi University Hangzhou China Department of Computer Science Xiamen University Xiamen China

We present an algorithm which can realize the monocular vision simultaneous localization and mapping(SLAM) for mobile robot in the large scale outdoor environment. Unused traditional mechanic odometer sensor information, we utilize the ideas of Structure From Motion(SFM) for step-to-step motion estimation reliably only with visual information. Scale Invariant Feature Transform(SIFT) image feature is used as natural landmark, and its 3D position is constructed directly through triangulation methodology after the scale of robot's translational motion is uniquely determined. Then in the Rao-Blackwellised particle filter framework, one concurrent Extended Filter(EKF) is used as proposal density function, and the associated landmark state is updated by one EKF filter independently in the corresponding landmark map of this particle. Finally, real experiments show that our method is feasible and robust, even against large translation and large rotation movements.

关键词： Simultaneous localization and mapping Large-scale systems Particle filters Mobile robots Motion estimation Robustness computer science Proposals Density functional theory Robot vision systems

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