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International Conference on Mechatronic science, Electric engineering and computer

作者： Junling Liu HongWei Zhao Degang Kong Chongxu Chen Jilin Teachers' Institute of Technology and Engineering Changchun China College of Computer Science and Technology Jilin University Changchun China Changchun Institute of Technology Changchun China

ISBN: (纸本)9781612847191

Study the global histogram algorithm and the rigid block algorithm in image retrieval, in order to improve the lack of spatial information in the global histogram,and to improve the lack of rotation invariance and image integrity in the rigid block, this paper proposed block weighting the color feature algorithm. The algorithm first conduct color image a rigid segmentation, then sort the second moment, again add different weights in different regions. Through the image retrieval results show, the algorithm can obtain results superior to the traditional search algorithm.

关键词： Image color analysis Histograms Image retrieval Shape Partitioning algorithms Algorithm design and analysis Humans

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A parking space finding method based on VANETs

A parking space finding method based on VANETs

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11th International Conference of Chinese Transportation Professionals: Towards Sustainable Transportation Systems, ICCTP 2011

作者： Tian, Daxin Wang, Yunpeng Lu, Guangquan Yu, Guizhen Duan, Xuting Liu, He School of Transportation Science and Engineering Beihang University Beijing 100191 China College of Computer Science and Technology Jilin University Changchun 130012 China Quartermaster Equipment Institute General Logistics Department CPLA Beijing 100010 China

ISBN: (纸本)9780784411865

In some large cities, it is not easy to find a parking space due to the high traffic demand. With the assistance of wireless communications, many safety-related and no-safety related applications can be deployed in the vehicular ad hoc networks (VANETs). Parking port finding is one of the useful VANETs applications. In this paper, we discuss a parking space finding method based on VANETs. To send the free parking places information to the drivers efficiently, a clustering multi-hop routing method is proposed. Compared with the other routing methods, the simulation results prove that the developed method is effective. © 2011 ASCE.

关键词： Vehicular ad hoc networks

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A dynamic traffic information system based on VANETs

A dynamic traffic information system based on VANETs

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1st International Conference on Transportation Information and Safety: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation, ICTIS 2011

作者： Tian, Daxin Wang, Yunpeng Lu, Guangquan Yu, Guizhen Liu, He School of Transportation Science and Engineering Beihang University Beijing 100191 China College of Computer Science and Technology Jilin University Changchun 130012 China Quartermaster Equipment Institute General Logistics Department CPLA Beijing 100010 China

ISBN: (纸本)9780784411773

Real time traffic information is helpful to traffic management departments and the drivers. In this paper, we present a dynamic traffic information system based on vehicular ad hoc networks (VANETs) which can send real time traffic conditions to the users including traffic control center, running vehicles, traffic information providers, and so on. To support traffic data exchange among vehicles and infrastructures, the whole architecture includes the vehicle to vehicle, vehicle to infrastructure, and infrastructure to infrastructure communication. The simulation results prove that it can transmit data efficiently. © 2011 ASCE.

关键词： Vehicular ad hoc networks

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Notice of Retraction: Research and simulation of hybrid processing model based on scenes perceptual features

Notice of Retraction: Research and simulation of hybrid proc...

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International Conference on Natural Computation (ICNC)

作者： Junling Liu Hongwei Zhao Xiao Chen Jilin Teacher s Institute of Engineering and Technology Changchun China Department of Computer Science and Technology Jilin University Changchun China

This article has been retracted by the publisher.

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Ordering heuristics for Singleton Arc Consistency

Ordering heuristics for Singleton Arc Consistency

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International Conference on Mechatronic science, Electric engineering and computer

作者： ChuiLiu Kong Shimei Xing College of Traffic JiLin Institute of Architeture and Civil Engineering Changchun China College of Computer Science and Technology Jilin University Changchun China

The use of consistency techniques is the main feature of any Constraint Satisfaction Problems(CSPs)solver. Arc Consistency (AC) applied to preprocessing can reduce the search space by removing the values which are arc inconsistent. Singleton Arc Consistency (SAC) is a stronger level of consistency than AC. Arc consistency technique with heuristic strategy has been proved to be an efficient technique to improve the efficiency of algorithms. In this paper, we first study the well-known SAC-3 algorithm indetail, and propose two algorithms with heuristic strategies for the drawbacks in SAC-3, SAC-3-FFPand SAC-3-MINIsup. Then, we give the correctness proof and complexity analysis. In the end, we implement the two algorithms in some random CSPs and benchmarks during the preprocessing step. Experimental results show that the two algorithms perform better than SAC-3 for most test cases.

关键词： Algorithm design and analysis Complexity theory Heuristic algorithms Benchmark testing Educational institutions Data structures Runtime

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Preparation and Properties of Environmentally Friendly Water Treatment Composite

Preparation and Properties of Environmentally Friendly Water...

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2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

作者： Heqin Xing Xiuqi Liu Jinghua Cao xiue sun College of Quartermaster Technology Jilin University Changchun Jilin 130062 China College of Food Science and Engineering Jilin Agricultural University Changchun Jilin 130118 Ch Department of Computer Jilin University Changchun Jilin 130062 China College of Food Engineering Jilin Teachers' institute of engineering and technology Changchun Jil

ISBN: (纸本)9781612842899

A new kind of material for oil adsorption was prepared by melt blend with EPDM as the matrix and MgO as the filler. The effects of Dicumylperoxide (DCP) and MgO contents on the oil absorbency were studied. Comparing the two samples with the highest oil adsorption rates, the experimental result indicates that the oil absorbency of EPDM (crosslinked) is 51％ more man that of EPDM the oil absorbency of MgO/EPDM composite is 88634％ more than that of EPDM (crosslinked);the oil absorbency of MgO/EPDM composite is 19822％ more than that of MgO (coupling agent)/EPDM composite. The absorbent characteristics of MgO/EPDM are better than these of MgO (coupling agentVEPDM.

关键词： Oil melt blend method oil adsorption power oil absorption rate oil-absorbing mechanism

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An adaptive fuzzy ant colony optimization for feature selection

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Journal of Computational Information Systems 2011年第4期7卷 1206-1213页

作者： Liu, Yuanning Wang, Gang Chen, Huiling Zhao, Zhengdong Zhu, Xiaodong Liu, Zhen 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 Network Center Changchun University of Science and Technology Changchun 130022 China Graduate School of Engineering Nagasaki Institute of Applied Science Japan

Standard pattern classifiers perform on all data features. Whereas, some of the features are redundant or irrelevant, which reduce prediction accuracy, and increase running time of classifier. The purpose of this study is to search optimal feature subset, in order to increase the classification performance. The feature selection problem differs from traditional optimization problem on the problem size, namely the searching space or the problem dimension. Thus it is easy to converge at a local optimum by means of the ant colony optimization (ACO) based method with static parameter settings, but the adaptive parameter control strategy can balance between exploration and exploitation in the search space to intelligently improve solutions and avoid premature convergence. Only little research has been reported to adjust parameters of ACO adaptively. This paper proposes a novel adaptive fuzzy ant colony optimization (AFACO) based method for feature selection. We design two fuzzy controllers to adjust parameters of ACO, namely pheromone evaporation rate and the number of ants. The performance of the proposed method is compared with that of the Standard ACO based, Standard particle swarm optimization (PSO) based and genetic algorithm (GA) based methods on 10 benchmark data sets, taken from UCI machine learning and StatLog databases. The experimental results show that the proposed method outperforms the other methods in prediction accuracy, and is efficient and effective for feature selection problem. Copyright © 2011 Binary Information Press.

关键词： Ant colony optimization

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A high dependability grid resource scheduling algorithm

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Journal of Computational Information Systems 2011年第2期7卷 607-614页

作者： Zhang, Shuying Liu, Shufen Xie, Chengjun Wang, Limin Gao, Yue Han, Xuming College of Computer Science and Technology Jilin University Changchun 130012 China College of Computer Science and Technology Beihua University Jilin 132021 China College of Information Jilin University of Finance and Economics Changchun 130017 China Institute of Information and Spreading Engineering Changchun University of Technology Changchun 130012 China

Owing to uncertainty of the grid resource and service, rational grid resource scheduling has been becoming a difficult problem at all times. In this paper, grid resource scheduling problem is researched based on grid trust model and availability model. Moreover, a high dependability grid resource scheduling algorithm based on credibility and availability is proposed. In addition, the detailed description and analysis for the algorithm is also done in the paper. The algorithm ensures not only resource dependability requirement but also resource performance requirement. The results of the simulation experiment show that compared with traditional scheduling enlighten algorithm based on performance and trust. The proposed algorithm has better integrating performance in respect of the resource utilization rate, service failure rate etc. Copyright © 2011 Binary Information Press.

关键词： Scheduling algorithms

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A fuzzy adaptive multi-population parallel genetic algorithm for spam filtering

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Journal of Convergence Information Technology 2011年第2期6卷 172-182页

作者： Zhao, Zheng-dong Wang, Gang Zhao, Wei Chen, Hui-ling Zhao, Wei Li, Lu-lu Network Information Center Changchun University of Science and Technology Changchun China College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Department of Information Engineering Jilin Police College China Branch Institute of information technology Changchun Vocational Institute of Technology Changchun China

Nowadays, e-mail is one of the most inexpensive and expeditious means of communication. However, a principal problem of any internet user is the increasing number of spam, and therefore an efficient spam filtering method is imperative. Feature selection is one of the most important factors, which can influence the classification accuracy rate. To improve the performance of spam prediction, this paper proposes a new fuzzy adaptive multi-population parallel genetic algorithm (FAMGA) for feature selection. To maintain the diversity of population, a few studies of multi-swarm strategy are reported, whereas the dynamic parameter setting has not been considered further. The proposed method is based on multiple subpopulations and each subpopulation runs in independent memory space. For the purpose of controlling the subpopulations adaptively, we put forward two regulation strategies, namely population adjustment and subpopulation adjustment. In subpopulation adjustment, a controller is designed to adjust the crossover rate for each subpopulation, and in population adjustment, a controller is designed to adjust the size of each subpopulation. Three publicly available benchmark corpora for spam filtering, the PU1, Ling-Spam and Spam Assassin, are used in our experiments. The results of experiments show that the proposed method improves the performance of spam filtering, and is significantly better than other feature selection methods. Thus, it is proved that the multi-population regulation strategy can find the optimal feature subset, and prevent premature convergence of the population.

关键词： Data mining

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Algorithm of license plate localization based on texture analysis

Algorithm of license plate localization based on texture ana...

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International Conference on Transportation, Mechanical, and Electrical engineering (TMEE)

作者： Xiuxia Yu Hongyu Cao Haidong Lu College of Computer Science and Technology Changchun University Changchun China College of Computer Science and Technology Beihang University Jilin China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China

This paper studies the key technology of the license plate recognition system, including the image pre-processing, license plate location, etc. Through the thorough research on license plate characteristics and positioning technology, the method of the license plate localization is put forward based on the texture characteristics and vertical projection, which can very accurately find the license plate area.

关键词： Licenses Vehicles Image edge detection Noise Character recognition Image segmentation

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