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Application of virtual experiment technique to predict draft resistance of model blade

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2008年第SUPPL. 2期29卷 472-475页

作者： Huang, Kui Li, Yinwu Li, Jianqiao Peng, Jianbo Institute of Computer Science and Technology Changchun University Changchun 130022 China Key Laboratory of Terrain-Machine Bionics Engineering Jilin University Changchun 130025 China

Surfaces in soil-engaging component of the bulldozer blade and plough are the combination of curve blade and plane blade commonly, considering the different parameters and conditions involved in the soil-tool interaction system, it becomes a difficult work to study the interaction between soil and soil-engaging component variously. Virtual experiment technique was applied in the predicting of the draft resistance of model blade based on the test results of plane blade. Analyzing values of virtual experiment to results of validated test, the maximal error of them was less than 20 percents. It was an effective method to predict the draft resistance of model blade by applying of virtual experiment technique. It would be helpful to apply principle of biomimetic coupling to design soil-engaging component homoplastically.

关键词： Soils

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Estimating impervious surface for the urban area expansion: Examples from changchun, Northeast China 21

Estimating impervious surface for the urban area expansion: ...

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21st International Congress for Photogrammetry and Remote Sensing, ISPRS 2008

作者： Lu, Dongmei Song, Kaishan Zeng, Lihong Liu, Dianwei Khan, Shahbaz Zhang, Bai Wang, Zongming Jin, Cui Computer Science and Engineering College Jilin Architectural and Civil Engineering Institute Hongqi Street 1129 Changchun Jilin Province130021 China Land and Water CSIRO Charles Sturt University Building 24 Locked bag 558 Wagga WaggaNSW Australia Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences No.3195 Weishan Road Changchun Jilin Province130012 China

As a developing country, China is now undergoing a quick process of urbanization. Therefore, understanding and managing the urban environment is a prerequisite for addressing sustainability, which is an increasingly important issue need a range of discipline to cope with. This paper explored extraction of impervious surface information from Landsat ETM+ data with the integration of fraction images from linear spectral mixture analysis based upon Ridd's vegetation-impervious surface-soil (V-I-S) model. A new approach for urban land-use classification, based on the combined use of impervious surface and spectral mixture analysis (SMA) were applied in this paper. The minimum noise fraction transform (MNF) procedure was applied to transform the six reflective bands into a new coordinate set to select the four endmebers, e.g. high-albedo surface, low-albedo surface, soil and vegetation.. Results showed that the integration of faction images improved urban impervious surface estimation. The impervious surface in the urban area were derived from high-albedo surface and low-albedo surface. Accuracy assessment indicated that the root-mean-square error is less than 10.2% for the impervious surface image. The main factors that affect the accuracy are the reflectance variation caused by atmospheric factors, sun-sensor-target geometry. How to deal with these factors to minimize reflectance variation will be the future study topics. Also water body and shade were not addressed in this paper, which also need to be considered in the future study. © 2008 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Remote sensing

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Development of Meter-Reading System Building Centralized Controller in Intelligent Residential District

Development of Meter-Reading System Building Centralized Con...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Cheng-Hao Han Xiao-Hong Gao Ding-Xuan Zhao Wei-Li Chen Jia Yang College of Mechanical Science and Engineering Jilin University Changchun China Electrocal and Electronic Information School Jilin Architecture and Civil Engineering Institute Changchun China

In a residential district, building centralized controllers are used to check the power consumed in each building, and store the data into data memory. Building centralized controller could communicate with filed data collector using CAN bus, as well as with upper computer by GPRS. Considering the data memory and reliability, FM1808 ferroelectric memory is adopted. To enhance the anti-interference ability, some measurements in hardware, such as fiber-electronic coupling, high frequency channel, decoupling capacitors settlement, are taken. Meanwhile, DS12887 is applied to reset microcontroller every 500 ms.

关键词： Centralized control Control systems Intelligent structures Buildings Microcontrollers Communication system control Circuits Energy management Random access memory Data engineering

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International Symposium on computer science and Computational Technology, ISCSCT

作者： Suyun Jiao Yanheng Liu Xuejie Liu Da Wei Haiyan Hu College of Computer Science and Technology Jilin University Changchun China Institute of Computer Science and Engineering Changchun University of Technology Changchun China

Concept lattice was creatively used in mining correlated policy rules in this study. It takes much time for a conflict detection routine to search every policy in policy repository with conventional policy storage models to see if conflict occurs before a new dynamic policy is added to the policy repository. A novel storage model for dynamic policies was proposed to address this problem. Dynamic policies were organized into a concept lattice to be grouped effectively and stably. Then a correlated policy rules algorithm based on the concept lattice was proposed after the concept of correlated policy rules was defined. The algorithm greatly reduces the number of policies necessary for conflict detection, and increases efficiency of conflict detection. Performance analysis and simulation show that the proposed algorithm is effective.

关键词： Lattices Resource management computer science Performance analysis Analytical models Admission control Educational institutions Computational modeling Information analysis Application software

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Multi-agent reinforcement learning based on quantum chaotic computer

Multi-agent reinforcement learning based on quantum chaotic ...

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IEEE International Conference on Automation and Logistics

作者： Xiang-Ping Meng Xin-Xin Wang Jun Meng Department of Electrical Engineering Changchun Institute of Posts and Telecommunications Changchun Jilin China Information engineering College Northeast Dianli University Jilin China School of Computer Science&Engineering Changchun University of Technology Changchun Jilin China

ISBN: (纸本)9781424425020

A novel learning policy in multi-agent reinforcement learning is presented, trying to find another tradeoff of exploration and exploitation efficiently, It use the output of the classical quantum computer as an input for chaotic dynamics amplifier, The novel amplifier consider the chaotic effect, it can amplify the initial value in polynomial time. It considers the action selection problem and argues that the problem, in principle, can be solved in polynomial time if it combines the quantum computer with the chaotic dynamics amplifier based on the logistic map.

关键词： Quantum computing computers Roads Chaos Learning Logistics Artificial neural networks

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ARCA: An algorithm for mining association rules based concept lattice

ARCA: An algorithm for mining association rules based concep...

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2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

作者： Xia, Qing Wang, Sujing Chen, Zhen Lv, Tao Wang, Dongjing Library Huaihai Institute of Technology Lianyungang 222005 China College of Computer Science and Technology Jilin University Changchun 130012 China Weapon System Engineering Center Artillery Command Academy XuanHua 075100 China Shizhuang Middle School Lianyungang 222200 China

ISBN: (纸本)9781424421084

Association rule discovery is one of kernel tasks of data mining. Concept lattice, induced from a binary relation between objects and features, is a very useful formal analysis tool. It represents the unification of concept intension and extension. It reflects the association between objects and features, and the relationship of generalization and specialization among concepts. There is a one-to-one correspondence between concept intensions and closed frequent itemsets. This paper presents an efficient algorithm for mining association rules based concept lattice called Area (Association Rule based Concept lAttice). Area algorithm uses concept-matrix to build a part of concept lattice, in which the intension of every concept be put into one-to-one correspondence with a closed frequent itemset. Then all association rules are discovered by 4 operators which are defined in this paper performed on these concepts. © 2008 IEEE.

关键词： Association rules

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Stock Company Comprehensive Assessment Model Based on Kohonen Network

Stock Company Comprehensive Assessment Model Based on Kohone...

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International Conference on Genetic and Evolutionary Computing (WGEC)

作者： Xuming Han Limin Wang College of Computer Science and Technology Jilin University Changchun China Institute of Information and Spreading Engineering Changchun University of Technology Changchun China Department of Information Changchun Taxation College Changchun China

ISBN: (纸本)9780769533346

Research on stock company comprehensive assessment has always been an important focus for economists and computer experts. In this paper, the financial indexes reflecting the comprehensive capability of stock companies as main research objects including income per thigh, clean asset per thigh, profit rate of clean asset, Kohonen network with the advantage of clustering is applied to assess for stock companies. In order to improve the precision of solutions, a tabu-mapping method is also used to avoid the same output node to be mapped by more than one input in this paper. Experimental results show that Kohonen network is feasible and effective to assess stock companies, it could provide a new reference basis for government and investors, which has potential applications in the financial field.

关键词： Companies Artificial neural networks Simulation Thigh Indexes Finance Biological system modeling

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Research on Teaching Reform of computer Basic Courses in Technology Universities

Research on Teaching Reform of Computer Basic Courses in Tec...

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The 9th International Conference for Young computer Scientists(第九届国际青年计算机大会)

作者： Xuming Han Limin Wang Wanli Zuo Hongzhi Wang Guojun Chen Institute of Information Spreading Engineering Changchun University of Technology Changchun 130012 Department of Information Changchun Taxation College Changchun 130117 China College of Computer Science and Technology Jilin University Changchun 130012 China Institute of Information Spreading Engineering Changchun University of Technology Changchun 130012 Department of Computer Science and Technology Guangdong University of Finance Guangzhou 510520 Ch

By investigating and researching for the present state of computer basic courses teaching in domestic and foreign technology universities, some problems on computer basic courses teaching are summarized and analyzed in this paper. Update education ideas and teaching methods, reference to the advanced teaching and practice experience of computer basic courses from foreign countries and years of teaching experience, a feasible and effective teaching reform plan and implementing project are proposed in this paper. It could help to increase the interest of students in learning computer knowledge and train them to have the ability of solving practical problem by using programming ideas actively, which can provide a new approach to stimulate the students' creativity and innovative ability.

关键词： computer basic courses teaching reform of computer courses technology universities teaching reform research.

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Combining Immune with Ant Colony Algorithm for Geometric Constraint Solving

Combining Immune with Ant Colony Algorithm for Geometric Con...

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International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Hua Yuan Yi Li Wenhui Li Kong Zhao Duo Wang Rongqin Yi Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China School of Computer Science & Engineering Changchun University of Technology China Suzhou Top Institute of Information Technology Suzhou China

Geometric constraint problem can be transformed to an optimization problem which the objective function and constraints are non-convex functions. In this paper an evolutionary algorithm based on ant colony optimization algorithm and the immune system model is proposed to provide solution to the geometric constraints problem. In the new algorithm, affinity calculation process and pheromone trail lying is embedded to maintain diversity and carry out the global search and the local search in many directions rather than one direction around the same individual simultaneously. This new algorithm different with current optimization methods in that it gets the good solution by excluding bad solutions. The experimental results reported here will shed more light into how affects the hybrid algorithm's search power in solving geometric constraint problem.

关键词： Immune system Ant colony optimization Nonlinear equations Knowledge engineering computer science Educational technology Evolutionary computation Data mining Laboratories computer science education

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An Immune Algorithm-Based Atmospheric Quality Assessment Model and Its Applications

An Immune Algorithm-Based Atmospheric Quality Assessment Mod...

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International Conference on computer science and Software engineering

作者： Limin Wang Xuming Han Ming Li Guojun Chen Chijun Zhang Huimin Zhang Department of Information Changchun Taxation College Changchun China College of Computer Science and Technology Jilin University Changchun China Institute of Information and Spreading Engineering Changchun University of Technology Changchun China Department of Computer Science and Technology Guangdong University of Finance Guangzhou China

ISBN: (纸本)9781424439027

Atmospheric quality assessment is an important research subject, focusing on the evaluation of the quality of atmospheric environment, a model based on the immune algorithm (IM) is proposed in this paper. The model has the characters of pellucid principle and physical explication. Moreover, the simplification is the important advantage of the method. Experimental results show that the proposed model is effective and feasible for assessing atmospheric quality. It could provide a new reference basis and approach in the field of environment. Therefore it has great potential in the field of assessment the atmospheric quality.

关键词： Quality assessment Atmospheric modeling Immune system computer science Artificial immune systems Environmentally friendly manufacturing techniques Industrial pollution Air pollution Software algorithms Educational institutions

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