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2009 International Conference on Artificial Intelligence and Computational Intelligence最新文献

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Improved Differential Evolutions Using a Dynamic Differential Factor and Population Diversity 基于动态差异因子和种群多样性的改进差异进化
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.151
Jixiang Cheng, Gexiang Zhang
{"title":"Improved Differential Evolutions Using a Dynamic Differential Factor and Population Diversity","authors":"Jixiang Cheng, Gexiang Zhang","doi":"10.1109/AICI.2009.151","DOIUrl":"https://doi.org/10.1109/AICI.2009.151","url":null,"abstract":"As a new kind of evolutionary algorithms, differential evolution (DE) has attracted much attention in solving optimization problems in the last few years. To accelerate its convergence rate and enhance its performances, this paper introduces a dynamic adjustment method for the differential factor and a modified version of mutation strategy into DE. Furthermore, a disturbance approach based on population diversity is used to further improve the search capability. Thus, two improved DE, IDE1 and IDE2, are presented. The performances of the IDE1 and IDE2 are evaluated on seven complex benchmark functions with three different dimensionalities. Experimental results show that the performances of IDE1 and IDE2 are superior to other two DEs in terms of convergence rates and qualities of solutions.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123271158","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: 5
Study on Bidding Schemes and Decision-Making Method for Power Plant in Day-Ahead Power Market 日前电力市场下电厂竞价方案及决策方法研究
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.473
Zhongxiong Yuan, D. Gu
{"title":"Study on Bidding Schemes and Decision-Making Method for Power Plant in Day-Ahead Power Market","authors":"Zhongxiong Yuan, D. Gu","doi":"10.1109/AICI.2009.473","DOIUrl":"https://doi.org/10.1109/AICI.2009.473","url":null,"abstract":"This paper presents a novel method to help the bidder to make a reasonable bidding strategy. Three bidding schemes are discussed in this paper, that is, cost analytical method, time series analysis method and grey prediction method. The decision method based on multi-attribute decision-making principle is presented to choose a best bidding strategy from optional three schemes. This method is used in a certain power plant of East-China electricity market and case study verified its effectiveness.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123285439","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
Temperature Compensation of Ultrasonic Flow Measurement Based on the Neural Network 基于神经网络的超声波流量测量温度补偿
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.325
Yan-xia Wang, Zhi-hao Li
{"title":"Temperature Compensation of Ultrasonic Flow Measurement Based on the Neural Network","authors":"Yan-xia Wang, Zhi-hao Li","doi":"10.1109/AICI.2009.325","DOIUrl":"https://doi.org/10.1109/AICI.2009.325","url":null,"abstract":"In order to eliminate the influence of temperature on ultrasonic flow measurement, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (Back Propagation) neural network. The network is adjusted by measuring samples to compensate temperature loss of the ultrasonic flow measurement system. The simulation results show that the influence of temperature on the ultrasonic flow measurement is dramatically reduced to 3% from 5.2%, which fulfill the targets of reducing errors and increasing measurement precision. By using neural network technique, the precision of the ultrasonic flow measurement is improved greatly, and the accurate intelligent temperature compensation of the ultrasonic flow measurement is made.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123427562","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
View Planning Method Based on the Visual Region of the Vision System 基于视觉系统视觉区域的视野规划方法
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.62
Xiaolong Zhou, B. He, Y.F. Li
{"title":"View Planning Method Based on the Visual Region of the Vision System","authors":"Xiaolong Zhou, B. He, Y.F. Li","doi":"10.1109/AICI.2009.62","DOIUrl":"https://doi.org/10.1109/AICI.2009.62","url":null,"abstract":"Automatic reconstruction of unknown 3-D objects has been of great importance in computer vision, pattern recognition and visualization. In this paper, a new view planning approach of generating 3-D models automatically is proposed. The new algorithm incorporates the visual region of the vision system with the limit visual surface of the unknown model. The limit visual surface is modeled according to the knowledge of acquired object model. And the space positions of efficient viewpoints are determined according to the visual region of the system and the limit visual surface. The NBV position is the position that could obtain the maximal unknown surface area among the efficient viewpoints. The experimental results show that the method proposed is effective in practical implementation.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126637528","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
Decision Support System of Fire Station Distribution and Responsible Area Zoning in Nanjing, China 南京市消防站布局与责任区区划决策支持系统
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.456
Xiang Zhang, Jiangang Xu, Y. Qi
{"title":"Decision Support System of Fire Station Distribution and Responsible Area Zoning in Nanjing, China","authors":"Xiang Zhang, Jiangang Xu, Y. Qi","doi":"10.1109/AICI.2009.456","DOIUrl":"https://doi.org/10.1109/AICI.2009.456","url":null,"abstract":"This paper, from a theoretical perspective, to study Fire Station Distribution and Responsible Area Zoning, found that optimizing standard was fire protection response time. Using this standard, the author constructed an Optimizing Mathematic model to convert response time problem to vehicular speed of Fire Engine. Based on principles of Transportation Accessibility and Road System Reliability, this paper chose thirteen factors from three perspectives (including the urban road structure and its ability of impedance, urban land use and population density) in Nanjing downtown area. Using analysis method of multi-factors weighted-overlay and GIS software, this paper evaluated vehicular speed on the road, the intersection and urban land in different periods. Then the author constructed an Decision Support System of Fire Station Distribution and Responsible Area Zoning during the Traffic Peak Period of Nanjing based on analysis of Time Cost–weighted Distance. Results indicated that current distribution of Fire Station was not suitable and the average fire control response time was about 14 minutes, far exceeding the national standards of 5 min. Through Decision Support System, the author planned 14 new fire stations, and together with the 19 reservation fire stations in Nanjing Urban Master Planning, this distribution planning would make the average response time short to 8 minutes, and more than 50% urban area of Nanjing down area can be arrived by the Fire Engine in time(less than 5 minutes), and the average responsible area of these 46 fire stations would be about 6.2km2. This paper was a preliminary research on analyzing Distribution of Fire Station with a raster calculating method that could be a great valuable supplement for studying the Planning of Fire Station Distribution in traditional vector network analysis and it could help the government to make decisions. However, this study had its limitations. Future study needs to focus on factor choosing and speed calculating.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114927351","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 Survey of Autonomous Control for UAV 无人机自主控制研究进展
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.147
Hai Chen, Xinmin Wang, Yan Li
{"title":"A Survey of Autonomous Control for UAV","authors":"Hai Chen, Xinmin Wang, Yan Li","doi":"10.1109/AICI.2009.147","DOIUrl":"https://doi.org/10.1109/AICI.2009.147","url":null,"abstract":"This paper presents the autonomous control for UAV. The autonomous control concept and Autonomous Control Level (ACL) metrics that can measure autonomy of UAVs are introduced. Compared with manned aircraft control task in battlefield, the functions of autonomous UAV system are organized. According to the laws of Increasing Precision with Decreasing Intelligent (IPDI), the architecture of autonomous control for UAV is given. The architecture can be divided into three levels: Execution Level, Coordination Level and Organization Level. The constraint conditions and realizations of Coordination Level and Organization Level are studied comprehensively. The key hardware and software technologies for multi-tasks are modularized depending on the requirements of mission. The software technologies are distributed to stages of flying particularly.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115098242","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: 134
Reckon the Parameter of DBSCAN for Multi-density Data Sets with Constraints 带约束的多密度数据集的DBSCAN参数估计
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.393
Tian-qiang Huang, Yangqiang Yu, Kai Li, Wen-fu Zeng
{"title":"Reckon the Parameter of DBSCAN for Multi-density Data Sets with Constraints","authors":"Tian-qiang Huang, Yangqiang Yu, Kai Li, Wen-fu Zeng","doi":"10.1109/AICI.2009.393","DOIUrl":"https://doi.org/10.1109/AICI.2009.393","url":null,"abstract":"DBSCAN is a typical density-based clustering algorithm, but it is time-consuming to ascertain the parameter Eps and it does not perform well on multi-density datasets because of the global parameter Eps. In this paper, we use must-link constraints to ascertain the parameter Eps for each density distribution effectively and automatically, which will be used to deal with multi-density data sets for traditional DBSCAN algorithm. Experimental results reveal that our algorithm can reckon the parameter of DBSCAN for multi-density data sets with constraints effectively.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116066144","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: 15
A Simple and Fast Segmentation Approach for Sport Scene Images 一种简单快速的运动场景图像分割方法
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.339
Yongquan Xia, Weili Li, Shaohui Ning
{"title":"A Simple and Fast Segmentation Approach for Sport Scene Images","authors":"Yongquan Xia, Weili Li, Shaohui Ning","doi":"10.1109/AICI.2009.339","DOIUrl":"https://doi.org/10.1109/AICI.2009.339","url":null,"abstract":"Segmentation of video objects is very important for video objects detection or tracking. A simple segmentation approach for sport scene images is proposed in this paper. Firstly, a simple method is applied to detect the interest pixels in images by the defined interest pixels extraction function and a simple strategy is applied to speed the computation in the process of computation gray mean of pixels; Secondly, all the detected interest pixels neighbored each other are grouped to object interest regions; after that, the non-interest pixels in interest region are changed to interest pixels by inner filling method; Thirdly, the binarized images can be easily segmented applying simple edge detection algorithms or contour tracing approaches. Several images captured from sport scene are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"899 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392091","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
An Intrusion Detection Algorithm Model Based on Extension Clustering Support Vector Machine 一种基于扩展聚类支持向量机的入侵检测算法模型
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.143
Zhao Rui, Yu Yongquan, C. Mingjun
{"title":"An Intrusion Detection Algorithm Model Based on Extension Clustering Support Vector Machine","authors":"Zhao Rui, Yu Yongquan, C. Mingjun","doi":"10.1109/AICI.2009.143","DOIUrl":"https://doi.org/10.1109/AICI.2009.143","url":null,"abstract":"Intrusion detection technology is a key research direction in information technology. For intrusion detection method based support vector machine(SVM), there is a big obstacle that the amount of audit data for modeling is very large even for a small network scale, so it’s impractical to directly train SVM using original training datasets. Selecting important features from input dataset leads to a simplification of the problem, however a defect caused is the lack of sparseness. All training data will become the support vectors of SVM, which causes the low intrusion detection speed. We propose a novel SVM intrusion detection algorithm model using the method of extension clustering which is utilized to obtain a subset including support vectors. Through this approximation, the training dataset is downsized and consequently the number of support vectors of ultimate SVM model is reduced, which will greatly help to improve the response time of intrusion detection. Comparing to others, the arithmetic model is simple implement and better performance. So it is worth applying and popularizing.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114278907","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: 4
Inclusion-Based Multi-level Pointer Analysis 基于包容的多级指针分析
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.157
Yingxia Cui, Longshu Li, Sheng Yao
{"title":"Inclusion-Based Multi-level Pointer Analysis","authors":"Yingxia Cui, Longshu Li, Sheng Yao","doi":"10.1109/AICI.2009.157","DOIUrl":"https://doi.org/10.1109/AICI.2009.157","url":null,"abstract":"A novel approach for points-to information analysis is presented, which can deal with not only the single dereferenced pointers, but also the multiple dereferenced pointers, arrays and pointer arithmetic. In order to analyze them, we extend to the language of inclusion constraints, and further give an inference system, which can be formalized as deriving all possible constraints, and there are no indirect constraints any more. Furthermore, an algorithm is presented, which comprises the single dereferenced pointers, multiple dereferenced pointers, arrays, pointer arithmetic analysis. Another advantage is to offload the work to a static analysis completely, which is a breakthrough of inclusion-based pointer analysis. So we are able to use two linear time algorithms to simplify constraint graph before analyzing, which is very crucial in the performance of the algorithm.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121892449","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
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