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2010 IEEE International Conference on Intelligent Computing and Intelligent Systems最新文献

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Anisotropic diffusion based on directional consistency 基于方向一致性的各向异性扩散
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658532
Zhiming Wang, Hong Bao, Li Zhang
{"title":"Anisotropic diffusion based on directional consistency","authors":"Zhiming Wang, Hong Bao, Li Zhang","doi":"10.1109/ICICISYS.2010.5658532","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658532","url":null,"abstract":"A novel image anisotropic diffusion algorithm is proposed. As noise was more likely to be random, directional gray level consistency gives a feasible discrimination between noise and image structure. Firstly, a measurement of directional consistency was defined. Then, this consistency was transformed into diffusion weight, and diffusivity of different directions was computed from gradient and diffusion weight. At last, anisotropic diffusion was realized based on this directional different diffusivity. Some typical image diffusion algorithms were compared with proposed algorithm. Experimental results on both synthetic and real image with hybrid noise show the efficiency of proposed algorithm.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A swarm intelligence based algorithm for distribute search and collective cleanup 一种基于群体智能的分布式搜索和集体清理算法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658776
Daoyong Liu, Xinyi Zhou, Alei Liang, Haibing Guan
{"title":"A swarm intelligence based algorithm for distribute search and collective cleanup","authors":"Daoyong Liu, Xinyi Zhou, Alei Liang, Haibing Guan","doi":"10.1109/ICICISYS.2010.5658776","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658776","url":null,"abstract":"A collective cleanup task requires a multi-robot system to search for randomly distributed targets and remove them under a dynamic environment. In traditional methods, robots wandered in subareas (which caused too much repeat search) and interchanged all detected information with their neighbors, so global searching time and communication traffic increased. In this paper, we propose a swarm intelligence based algorithm that minimizes the expected time for searching targets by dividing the environment into two levels subareas then using a dynamic computing subareas' probability algorithm for search strategy, and it can also reduce communication traffic by robots' selective information interactions with their neighbors. A modified Particle Swarm Optimization (PSO) method is used to balance searching and selecting, which helps to allocate reasonable robots to different targets. The simulation results demonstrate the higher efficiency of the proposed method when compared to another method [20].","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Virtual guide control for underactuated surface ships 欠驱动水面舰艇的虚拟导引控制
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658805
R. Bu, Yunfeng Zheng
{"title":"Virtual guide control for underactuated surface ships","authors":"R. Bu, Yunfeng Zheng","doi":"10.1109/ICICISYS.2010.5658805","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658805","url":null,"abstract":"To solve the stabilization problems of underactuated surface ships with nonintegrable acceleration constraint, a novel virtual guide control algorithm is presented. The control method is both descriptive and constructive. By introducing an autonomic virtual system, the nonholonomic stabilization can be transformed into control problems of holonomic and full actuated subsystems. Using decoupling control method and iterative nonlinear sliding mode designing approach integrated with simple increment feedback control laws, a dynamic control strategy is developed to fulfill the underactuated stabilization objectives. Numerical simulation results on a full nonlinear hydrodynamic model of a training ship are presented to validate the effectiveness and robustness of the proposed controller.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122133165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Parallel molecular dynamics simulation of lysozyme hydration on IBM blade center cluster IBM叶片中心簇上溶菌酶水合作用的平行分子动力学模拟
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658262
Feng Sha, T. Wei, Ying Wei
{"title":"Parallel molecular dynamics simulation of lysozyme hydration on IBM blade center cluster","authors":"Feng Sha, T. Wei, Ying Wei","doi":"10.1109/ICICISYS.2010.5658262","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658262","url":null,"abstract":"A new Beowulf Clusters with IBM blade HS22 and DELL PC 755 has been built to perform parallel atomistic MD simulations. Lysozyme hydration was used as a model system to evaluate the system performance with different numbers of CPUs and nodes with AMBER suite. The efficiency reaches around 70% of the theoretical value. From our simulation, about 771 water molecules are found to be bound on lysozyme surface at 300K within the first hydration shell within first hydration shell.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128523845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A curve matching algorithm based on Freeman Chain Code 基于Freeman链码的曲线匹配算法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658385
Bo Yu, Lei Guo, Tian-yun Zhao, Xiaoliang Qian
{"title":"A curve matching algorithm based on Freeman Chain Code","authors":"Bo Yu, Lei Guo, Tian-yun Zhao, Xiaoliang Qian","doi":"10.1109/ICICISYS.2010.5658385","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658385","url":null,"abstract":"Curve matching is an important method to object recognition; traditional methods are difficult to deal with the curves which contain rotation, scale operations. In this paper a curve matching algorithm based on Freeman Chain Code is proposed. This method is free from curve rotation, scale operations and translation, it even has less calculation, easy to implement, so the method proposed is a practical curve matching algorithm.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Evaluation method of automatic summarization calculating the similarity of text based on HowNet 基于HowNet的自动摘要文本相似度评价方法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658292
Hongguang Suo, Jing Zhang
{"title":"Evaluation method of automatic summarization calculating the similarity of text based on HowNet","authors":"Hongguang Suo, Jing Zhang","doi":"10.1109/ICICISYS.2010.5658292","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658292","url":null,"abstract":"In order to do automatic evaluation for summarization much more accurately and efficiently, this paper analyzed the present evaluation methods of automatic summarization concretely, and pointed out the shortcoming of these evaluation methods. Based on the method of vector space model, it presents an evaluation method of automatic summarization calculating the similarity of text based on HowNet. It analyzes the meaning of words concretely using HowNet in the vector space model, considering the effect of part of speech serving as role in the sentences when calculating the weight of feature item and improving the formula of weight of feature item. The experiment shows that evaluation result of this method is better than that of P/R and the method based on the similarity of text.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124681349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Data attributes decomposition-based hierarchical neural network 基于层次神经网络的数据属性分解
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658671
Xiaoyan Zheng, Yuan Xu, Qunxiong Zhu, Siwei Peng
{"title":"Data attributes decomposition-based hierarchical neural network","authors":"Xiaoyan Zheng, Yuan Xu, Qunxiong Zhu, Siwei Peng","doi":"10.1109/ICICISYS.2010.5658671","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658671","url":null,"abstract":"The “black box” problem in neural network is being much concerned, which contributes to more and more researches on the structures of the neural network. Hierarchical neural network (HNN) is one kind of the neural networks that pays attention to the inner structure of network with the presentation of modular parts. In order to reducing the dependence of expert system in HNN, in the paper, a data attributes decomposition-based hierarchical neural network (DADHNN) is proposed through analyzing the information of data attributes based on two kinds of hierarchical structure. Also, two datasets from UCI repository and the production datasets of purified terephthalic acid (PTA) solvent system of a chemical plant are both used for the practical application. The application results show that the DADHNN method can establish the subnets automatically and have explainable ability to users, which provides a new way to the industry product-processing.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive neural network-based sliding mode control for nonlinear uncertain systems with time-varying delay 时变时滞非线性不确定系统的自适应神经网络滑模控制
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658746
Juntao Li, Xinlei Li, Hongjun Wang, Wenlin Li
{"title":"Adaptive neural network-based sliding mode control for nonlinear uncertain systems with time-varying delay","authors":"Juntao Li, Xinlei Li, Hongjun Wang, Wenlin Li","doi":"10.1109/ICICISYS.2010.5658746","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658746","url":null,"abstract":"This paper presents an adaptive-neural-network-based sliding mode control scheme for a class of nonlinear systems with unknown time-varying delay. Incorporating H∞ control technique and adaptive neural network method into sliding-mode control approach, adaptive sliding-mode controllers are designed for guaranteeing the H∞ performance of the closed-loop systems. One of the prominent advantages of the proposed scheme is that the nonlinear uncertainties are free of the matching condition and the linear boundary condition. Simulation results illustrate the obtained results.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129793869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel approach of workflow instance migration using virtual execution rule 一种基于虚拟执行规则的工作流实例迁移新方法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658771
Ju-hong Tie, Hui Peng
{"title":"A novel approach of workflow instance migration using virtual execution rule","authors":"Ju-hong Tie, Hui Peng","doi":"10.1109/ICICISYS.2010.5658771","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658771","url":null,"abstract":"In the dynamic workflow system, solving running workflow instance is an important and challenging research. A new approach of workflow instance migration is proposed based on the formal workflow model and definition of workflow instance with execution history. In this paper, a criterion for workflow instance migration was presented, which decides whether a particular workflow instance can be correctly migrated to a new workflow model or not in terms of workflow execution history. According to the criterion, a virtual execution rule was proposed, which satisfies the criterion and gives the sufficient and necessary conditions for workflow instance migration in virtual execution method simulating the routing process of workflow engine. The implementation steps of migration algorithm based on the virtual execution rule was described in detail.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123482230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High resolution methods for electronic counter measures environments establishing and side lobe cancellation in cognitive radar 认知雷达中高分辨率电子对抗环境建立与旁瓣消除方法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658729
Feng Zhou, Tong Xu
{"title":"High resolution methods for electronic counter measures environments establishing and side lobe cancellation in cognitive radar","authors":"Feng Zhou, Tong Xu","doi":"10.1109/ICICISYS.2010.5658729","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658729","url":null,"abstract":"For high resolution methods for electronic counter measures environments establishing and side lobe cancellation in cognitive radar problems, dynamic modeling methods based on neural net were proposed to simulate the complicated electronic counter measures environments for cognitive radar, and the method based on self-adaptive neural net from cognitive computer of cognitive radar was also proposed to fix on the needed weights of amplitude or phase by means of the direction and intensity of jam resource. Dynamic modeling methods based on neural net was effective to solve some nonlinear mapping in traditional modeling question, to denote dynamic characteristic of electronic counter measures, to deal with multi-input and multi-output variants included by fix quantitative analysis, qualitative analysis. The method for side lobe cancellation in cognitive radar based on self-adaptive neural net solved the weight choosing problems of dynamic variety, adaptability, optimum, comparing with traditional weight choosing method such as MSE. Further, calculating time could satisfy the demand of cognitive radar operating real time. Simulation results showed that the resolved methods had superior performance on the accuracy and robust of electronic counter measures environments establishing and side lobe cancellation in cognitive radar.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"131 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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