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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： JIAN GAO YONG-GANG ZHANG JI-GUI SUN College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchu

In recently years there has been plenty of interest in Random Constraint Satisfaction Problem, both from an experimental and a theoretical point of view. In this paper we study and analyze the four popular problem instance generating models, and present the extended model B+ based on the most used model B, which has the different domains and constraint tightness meeting some probability distribution function. In the subsequent section we give the relation matrix version of backtracking integrated forward checking algorithms, and introduce the implementation of instances generator and solver based on the new model. Finally we show the experiment results and conclude the paper, point that our extended model B+ has the common phase transition region with the transitional models and it has the advantage of being suited to the testing of heuristic based constraint solving algorithms, such as variables selection heuristic algorithms.

关键词： Constraint programming RCSP constraint solving generating model testing

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STUDIES ON SOME DETAILS OF ALGORITHM IGRS

STUDIES ON SOME DETAILS OF ALGORITHM IGRS

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： CHUN-XIAO FU SHU-YANG SUN CHENG-MIN SUN DA-YOU LIU College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

In Containing Order Rough Set Methodology (CORS),terminologies on rules or rules set, such as robust, minimality,completeness, mutuality degree, and conflict are discussed. The rules generation algorithm IGRs is given and the details of algorithm IGRs are studied. Heuristic knowledge, which is mutuality degree of a condition item with a decision part, is used to choose condition item when generating rules. In primary and modified IGRs, two kinds of mutuality degree,simple and weighted mutuality are introduced respectively. In addition, the variable precision method is used to solve the conflict problem in modified IGRs. By experiments, the effects of two kinds heuristic knowledge and different weight values in synthetic mutuality on algorithms properties are shown,such as time consumption, calculation precision etc. The performances of IGRs with the primary and new conflict solution are compared by experiments. The conclusion is that the weighted mutuality degree is more sound and the choice of appropriate weight values in it are important to optimize the quality of rules set. The variable precision method for dealing with conflict when generating rules is more reasonable. Both two modifications to primary IGRs make the performance of IGRs enhanced and the quality of rules set better. Algorithm IGRs still need further improvement.

关键词： Criteria Dominance relation Algorithm IGRs Mutuality degree Conflict

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Algorithm Studies of Rules Generation in CORS

Algorithm Studies of Rules Generation in CORS

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Chunxiao Fu Shuyang sun Chengmin Sun Dayou Liu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

ISBN: (纸本)1424404754

In Containing Order Rough Set Methodology (CORS), ordered attribute 'criterion' is introduced. Criterion is related semantically with decision attributes, which results in producing more rational and significant rules utilizing dominance relations. In this paper, some terminologies and properties on rules or rules set, such as robust, minimal, complete are discussed, the state of art in algorithms on rules generation are analyzed, and algorithms GRs and IGRs are proposed. We compare these two algorithms by experiments in time complexity, rules count and accuracy. We find that GRs can generate all minimal rules, but time complexity is high and IGRs' efficiency is better, but quality of rules are inferior to that of GRs. We also discuss the completeness of rules set and present a viewpoint that there are three hierarchies for completeness. In accuracy calculation, three formulas for accuracy calculation and two approaches for experimental test are given.

关键词： Criteria Dominance relation Algorithm GRs Algorithm IGRs Completeness

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An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization

An Efficient Method for Very Large Scale Out-of-Core Terrain...

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Huijie Zhang Jigui Sun Haihong Yu Changsong Qi College of Computer Science Northeast Normal University China College of Computer Science and Technology Jilin University China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education China

Large scale terrain visualization with high- resolution has an increasing demand in many research fields. To realize the efficient rendering of terrain, this paper presents an out-of-core terrain visualization method based on multi-resolution storage techniques. In external memory, the terrain data set is subdivided from top to bottom to build a multi-resolution hierarchical structure based on a quad-tree. The hierarchical structure can decimate the elevation data that must be loaded into internal memory. Thus it can improve the efficiency of I/O access greatly. Moreover, in order to implement rapid data retrieval of the real time terrain flyover, an efficient indexing algorithm is proposed, in which those nodes in the hierarchical structure will be divided into several clusters in terms of the similarities of static error and the closed space constraint. In addition, a method for crack-free is also proposed here. The comprehensive experiment conducted on the GTOP30 data set shows that this approach outperforms the Block and the Hierarchy algorithms in the both ways of efficiency and simplification ratio.

关键词： Large-scale systems Clustering algorithms Information retrieval educational institutions Computer science data visualization educational technology Costs data structures Partitioning algorithms

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Performance Evaluation of JXTA Based P2P Distributed Computing System

Performance Evaluation of JXTA Based P2P Distributed Computi...

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International Conference on Computing (CIC)

作者： Zhiming Dai Zhiyi Fang Xiao Han Fengyuan Xu Hongjun Yang School of Computer Science and Technology Key Laboratory Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China School of Economics and Information Systems Jilin University China

In this paper, we introduce the condition of distributed computing at present firstly. On this foundation, according to the analysis of particular case of distributed computing network, we implement a distributed network environment of P2P whose bottom layer frame is based on JXTA. It improves issuing method of message based on pipeline decomposition mechanism of task based on usage ratio of processor and distributed mechanism of object based on serialization. We build an improved distributed computing network platform on the platform of Linux and Windows and simulate a distributed computing environment. The simulated experiment proves the feasibility and the validity of the distributed network computing platform that is constructed in this paper

关键词： Distributed computing Peer to peer computing Computer networks Computational modeling Protocols Power generation economics Environmental economics Linux Large-scale systems Application software

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Distance Ratio Fractal for Complex Mapping z\leftarrow z^a

Distance Ratio Fractal for Complex Mapping z\leftarrow z^a

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International Multi-Symposiums on Computer and Computational Sciences (IMSCCS)

作者： Xizhe Zhang Tianyang Lv Shaobin Huang Zhengxuan Wang College of Computer Science and Technology Key laboratory of symbolic computing and knowledge engineering of ministry of education Jilin University Changchun China College of Computer Science and Technology Harbin Engineering of Technology Harbin China

The complex mapping z larr z a is important in dynamical application, but it is not received as much attention in the literature as the mapping z larr z a +c, for there is not fractal structure by using escape time algorithm. This paper utilizes a new method named as distance ratio iteration method and discusses the iteration properties of the complex mapping z larr z a . The distance ratio iteration method can render the convergence region of the mapping, so the image has complex and self-similarity structure. This paper generates fractal image using distance ratio iteration method for various exponents of z larr z a and discusses their visual properties. There is rich detail fractal structure in the mapping z larr z a

关键词： Fractals Rendering (computer graphics) Image generation Convergence educational institutions Computer science educational technology knowledge engineering Image analysis Laboratories

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WDM: A New Efficient Visualization Method of Classifying Web Documents Based on SOM

WDM: A New Efficient Visualization Method of Classifying Web...

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International Conference on Computational Intelligence and Security

作者： Xi Bai Jigui Sun Hong Luo College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Information Science and Technology of Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)1424406048

We propose a new visualization method WDM to classify documents by adding in the position-factors of words such as the title-factor and the first-sentence-factor based on a SOM neural network. We also discuss the selection of the function which is used to calculate the belong-to-probability in neurons' reflecting process. The experimental results indicate that WDM makes the boundaries of different documents greatly more clear, and thus it can produce more accurate and intuitive classification compared to the visualization methods which do not have position-factors considered

关键词： Wavelength division multiplexing Visualization Neurons Neural networks educational technology educational institutions Computer science Sun Laboratories Computer networks

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Storage management mechanism for a scalable streaming media system

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WSEAS Transactions on Computers 2006年第4期5卷 746-752页

作者： Deng, Yuhui Wang, Frank Feng, Dan Helian, Na Milward, Dave Thompson, Steve Center for Grid Computing Cambridge-Cranfield High Performance Computing Facilities Cranfield University Campus Bedfordshire MK43 0AL United Kingdom Key Laboratory of Data Storage System Ministry of Education Huazhong University of Science and Technology Wuhan 430074 China London Metropolitan University London United Kingdom Xyratex United Kingdom

Streaming media is pervasive on the Internet now and continues to grow rapidly. A large scale streaming media system may demand thousands of disks to satisfy both the bandwidth and storage capacity requirements imposed by thousands of concurrent clients. While performance has long been the focus of large scale storage systems research, manageability has become the dominant criterion in evaluating storage solutions, as the cost of storage management outweighs the cost of the storage devices themselves by a factor of three to eight. This paper designs and implements a highly reliable and available distributed media data oriented innovative Storage Management Mechanism (SMM) in a scalable streaming media system. All heterogeneous storage resources across the system are aggregated as a single logical view which strikes a good balance between a distributed data storage and centralized storage management. The centralized SMM dramatically simplifies the storage administration as the size and complexity of the streaming media system grows. Fault tolerance and dynamic load balance at the disk level and system level are achieved to provide high reliability and availability due to the SMM.

关键词： Multimedia systems

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Virtual Storage Image Implementation in a SAN System to Improve Storage Capacity, Fault Tolerance and Bandwidth

Virtual Storage Image Implementation in a SAN System to Impr...

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Intermag 2006 (INTERMAG 2006), vol.2

作者： Y. Deng F. Wang K. Zhou S. Wu Center for Grid Computing Cambridge-Cranfield High Performance Computing Facility Cranfield Bedfordshire UK Key Laboratory of Data Storage System Ministry of Education School of Computer Huazhong University of Science and Technology Wuhan China

With a SAN (Storage Area Network), large-capacity storage can be shared among multiple hosts at high speed. The potential market for SAN is enormous, but the technology won't become ubiquitous overnight. The complex administration is indicated by many researches as a key barrier to adopt SAN solutions. This paper designs and implements a virtual storage image (VSI) that aggregates storage space located on heterogeneous storage nodes (see Fig.1)in a Fibre Channel point-to-point (FC-P2P) SAN.

关键词： Image storage Storage area networks Fault tolerant systems Bandwidth File systems Space technology Aggregates Linux Fault tolerance Load management

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A processing method for rice crop inventory using multi-date ENVISAT-1 ASAR data

A processing method for rice crop inventory using multi-date...

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International Conference on Space Information Technology

作者： Ling, Feilong Wang, Xiaoqin Shi, Xiaoming Key Laboratory of Data Mining Information Ministry of Education Fuzhou University Fuzhou 350002 Fujian China

ISBN: (纸本)0819460079

Synthetic Aperture Radar (SAR) is anticipated to be the dominant high-resolution remote sensing data source for agricultural applications in tropical and subtropical regions due to its independent from cloud cover. ENVISAT-1 ASAR is the most advanced satellite radar-imaging instrument, its capabilities include beam steering for acquiring images with different incidence angles, duel polarization and wide swath coverage. Agricultural crop inventory based on remote sensed data will be improved greatly by ASAR's new capabilities. In this paper, a procedure has been developed using multi-date ASAR data for rice crop inventory. The procedure comprises two parts: data preprocessing and classification of multi-date data for rice field. In order to carry out the research, 6 scenes of ASAR images covering Fuzhou area year round of 2004 were used. PCI 9.1 is used for data preprocessing which includes data calibration, image co-registration, speckle suppression, orthorecitification and amplitude-to-dB conversion. Some novel methods are applied in this procedure such as correlation matching for image co-registration and multi-channel filtering for speckle suppression. Object-oriented classifier was used, compared with K-means supervised classifier and maximum likelihood classifier, and higher classification accuracy was achieved. By adopting the procedure presented in this paper, more than 90% classification accuracy for rice was achieved in Fuzhou city with multi-date Envisat ASAR data. This indicates that the procedure is feasible for rice crop inventory using multi-date ASAR data.

关键词： Crops

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