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

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A Novel Tree Cluster Approach Based on Least Closed Tree 一种新的基于最小闭树的树聚类方法
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.314
Xin Guo, Yun Li, Yunhao Yuan, Jia Wu, Ling Chen
{"title":"A Novel Tree Cluster Approach Based on Least Closed Tree","authors":"Xin Guo, Yun Li, Yunhao Yuan, Jia Wu, Ling Chen","doi":"10.1109/AICI.2009.314","DOIUrl":"https://doi.org/10.1109/AICI.2009.314","url":null,"abstract":"The extensive application of tree model has made tree mining become a hot field in data mining research. As an important branch of tree mining, tree cluster plays a fundamental analysis role in many areas. In this paper, a tree cluster algorithm was proposed based on least closed tree, which effectively solved problems in large amount of data in practical application. The basic method is bringing forward least closed tree as the candidate cluster feature, using dynamic threshold by similarity cluster to make tree cluster operation be more quick and accurate. Experimental results show that the method has higher speed and efficiency than that of other similar ones especially when large number of tree nodes.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"90 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":"132688749","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
Hand Tracking Using Kernel Density Approximation 使用核密度近似的手部跟踪
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.363
Aras Dargazany, A. Soleimani
{"title":"Hand Tracking Using Kernel Density Approximation","authors":"Aras Dargazany, A. Soleimani","doi":"10.1109/AICI.2009.363","DOIUrl":"https://doi.org/10.1109/AICI.2009.363","url":null,"abstract":"Abstract-In this paper, a new method is proposed for hand tracking based on a density approximation and optimization method. Considering tracking as a classification problem, we train an approximator to recognize hands from its background. This procedure is done by extracting feature vector of every pixel in the first frame and then building an approximator to construct a virtual optimized surface of pixels for similarity of the frames which belong to the hand of those frames related to the movie. Received a new video frame, approximator is employed to test the pixels and build a surface. In this method, the features we use is color RGB corresponding to the feature space. Conducting simulations, it is demonstrated that hand tracking based on this method result in acceptable and efficient performance. The experimental results agree with the theoretical results.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"270 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":"115209577","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
Battery Model Parameters Estimation with the Sigma Point Kalman Filter 基于Sigma点卡尔曼滤波的电池模型参数估计
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.15
Zhiwei He, Mingyu Gao, Jie Xu, Yuanyuan Liu
{"title":"Battery Model Parameters Estimation with the Sigma Point Kalman Filter","authors":"Zhiwei He, Mingyu Gao, Jie Xu, Yuanyuan Liu","doi":"10.1109/AICI.2009.15","DOIUrl":"https://doi.org/10.1109/AICI.2009.15","url":null,"abstract":"Accurate estimation of the State of Charge (SOC) of the battery is one of the key problems to the battery management system. The SOC should be obtained indirectly according to some algorithms under a mathematical model, along with some measurable quantities. A Sigma Point Kalman Filter based battery model parameters estimation method is proposed. The parameters can be estimated accurately while efficiently with the proposed method. Compared to the classical least squares method, the proposed method consumes much less memory and calculation time, which makes it suitable for embedded applications.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"3 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":"114121489","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: 10
Research on Fuzzy-PID Composite Control Strategy for Hydroelectric Generating Unit 水轮发电机组模糊- pid复合控制策略研究
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.455
Shuqing Wang, Zipeng Zhang, Hui Liu
{"title":"Research on Fuzzy-PID Composite Control Strategy for Hydroelectric Generating Unit","authors":"Shuqing Wang, Zipeng Zhang, Hui Liu","doi":"10.1109/AICI.2009.455","DOIUrl":"https://doi.org/10.1109/AICI.2009.455","url":null,"abstract":"Conventional PID or fuzzy controller cannot get good controlling performance in the control of hydroelectric generating unit system, which is non-linear, varying with time, high steps system. In order to overcome the shortcoming of conventional fuzzy or PID controller, the fuzzy-PID composite control method is used to control it. The combining modes between fuzzy and PID were introduced in detail. Based on the model of hydroelectric generating unit, parameters and reasoning rules of every combining mode between fuzzy and PID were adjusted via expert knowledge and genetic algorithms. Each controlling strategy was simulated. The response figures, which reflected the controlling effect, were given in the paper. Based on simulating experiment, it is discussed that how fuzzy and PID combine to get better controlling effect.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"61 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":"114688983","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
A New Adaptive Real-Coded Memetic Algorithm 一种新的自适应实编码模因算法
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.259
H. Nobahari, D. Darabi
{"title":"A New Adaptive Real-Coded Memetic Algorithm","authors":"H. Nobahari, D. Darabi","doi":"10.1109/AICI.2009.259","DOIUrl":"https://doi.org/10.1109/AICI.2009.259","url":null,"abstract":"A new adaptive real-coded memetic algorithm has been developed for continuous optimization problems. The proposed algorithm utilizes an adaptive variant of Continuous Ant Colony System for local search. Here new adaptive strategies are utilized for online tuning of the number of local search steps and the width of the search interval over each dimension of the search space. A new crossover scheme is also developed and utilized. The new algorithm has been examined with CEC 2005 benchmarks and compared with three other state of the art works in the field. The comparisons have showed relatively better results.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"42 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":"114475907","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
Using a Neural Network Controller to Control Chaos in the Rossler System 用神经网络控制器控制Rossler系统中的混沌
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.476
Li-xin Yang, Zhongshi Zhang, Jianguo Zhang
{"title":"Using a Neural Network Controller to Control Chaos in the Rossler System","authors":"Li-xin Yang, Zhongshi Zhang, Jianguo Zhang","doi":"10.1109/AICI.2009.476","DOIUrl":"https://doi.org/10.1109/AICI.2009.476","url":null,"abstract":"The complex dynamics behaviors of the Rossler reaction systems are studied in the paper. By applying bifurcation diagram and phase diagram are presented to analyze periodic oscillation state and chaos motions. Periodic and chaotic motions of the system can be distinguished by Lyapunov exponent method. The chaotic motion of the system is controlled using neural network controller. We obtain the steady periodic orbit of the system under effectively controlling. It is concluded the hyperbolic tangent function is the best candidate as the threshold function of NNC for controlling the Rossler reaction system. By studying numerical simulations, it is possible to provide reliable theory and effective numerical method for other systems.","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":"115146464","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
Digital Image Stabilization Based on Phase Correlation 基于相位相关的数字稳像
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.489
Ruiming Jia, Hong Zhang, Lei Wang, Junwei Li
{"title":"Digital Image Stabilization Based on Phase Correlation","authors":"Ruiming Jia, Hong Zhang, Lei Wang, Junwei Li","doi":"10.1109/AICI.2009.489","DOIUrl":"https://doi.org/10.1109/AICI.2009.489","url":null,"abstract":"In this paper, we present a method for digital image stabilization based on Fourier-Mellin transform and phase correlation. We acquire the rotating angle and scaling factor firstly by phase correlation between Fourier-Mellin transform images of the reference and observed images. After rotating and scaling the observed image, implement the phase correlation again to compute the spacial translation. Because of spectral periodicity, the correlation between Fourier-Mellin transform images will be weaken and maybe lead to wrong result when the rotating angle is close to 90°. So we add a coarse search before phase correlation to avoid this situation. And we use a smooth window to reduce the noise in phase correlation. Furthermore, a coordinate mapping chart is recommended to avoid the unnecessary computation cost during creating log-polar image. The experiment results show the proposed method can acquire accurate motion parameters between two adjacent frames.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"121 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":"115159907","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: 10
Diagnosis of Transformer Dissolved Gas Analysis Based on Multi-class SVM 基于多类支持向量机的变压器溶解气体分析诊断
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.108
Zhe Zhang, Yong-li Zhu, Zhong-Li Wu, K. Han
{"title":"Diagnosis of Transformer Dissolved Gas Analysis Based on Multi-class SVM","authors":"Zhe Zhang, Yong-li Zhu, Zhong-Li Wu, K. Han","doi":"10.1109/AICI.2009.108","DOIUrl":"https://doi.org/10.1109/AICI.2009.108","url":null,"abstract":"Support Vector Machine (SVM) is based on statistical learning theory which developed from the common machine learning. It is an effective tool to deal with limited samples. This paper proposes a model of the dissolved gas analysis (DGA) of transformer based on Multi-class SVM. Firstly, with the combination of SVM multi-class classification methods one-versus-rest (1-v-r) and one-versus-one (1-v-1), the normal state and fault state of transformers are diagnosed. Then the fault data is diagnosed in detail with 1-v-1 method. The grid search method based on cross-validation, which is effective in solving the problem of designing SVM parameters, is used to determine model parameters. The results of case study show that the model ensures a very high accuracy rate of classification and has upstanding generalization ability.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"17 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":"115267478","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
The Performance Improvements of an Active Suspension with Grey-Fuzzy Algorithm Employing Passenger Car 基于灰色模糊算法的轿车主动悬架性能改进
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.293
Chien-Yu Ji, Jui-Chun Chang
{"title":"The Performance Improvements of an Active Suspension with Grey-Fuzzy Algorithm Employing Passenger Car","authors":"Chien-Yu Ji, Jui-Chun Chang","doi":"10.1109/AICI.2009.293","DOIUrl":"https://doi.org/10.1109/AICI.2009.293","url":null,"abstract":"In this paper, we combine grey theorem with fuzzy control. The main focuses of this paper are (1) applying this to the active suspension system and (2) discussing the effectiveness of the Grey-Fuzzy controller by the following performance indexes which include Ride Comfort Index (Ratio-VA), Pitch Motion Index (Ratio-PA), and Roll Motion Index (Ratio-RA). These performance indices indicate the ride comfort, handling quality and suspension compactness of a car. The grey-fuzzy control reduces the oscillation of the vehicle. As a result, passengers will not only feel an increased comfort and quality of ride, but also have an increased sense of the safety of the vehicle. Satisfactory performances have been achieved by such a grey-fuzzy control scheme.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"137 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":"123394978","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 Steganographic Method Based on SOM and Wavelet Contrast 基于SOM和小波对比的隐写方法
2009 International Conference on Artificial Intelligence and Computational Intelligence Pub Date : 2009-11-07 DOI: 10.1109/AICI.2009.492
Z. Jiajia, Liu Jing, D. Cheng
{"title":"A Steganographic Method Based on SOM and Wavelet Contrast","authors":"Z. Jiajia, Liu Jing, D. Cheng","doi":"10.1109/AICI.2009.492","DOIUrl":"https://doi.org/10.1109/AICI.2009.492","url":null,"abstract":"To provide large capacity of the hidden secret data and to maintain a good visual quality of stego-image, a novel steganographic method based on SOM and wavelet contrast is presented. Firstly, an image was divided into blocks, and every block was decomposed into one-level wavelet to obtain the wavelet contrast. Then, blocks were classified by the Self-organizing Map (SOM) Neural Networks. Finally, the secret information was embedded with steganography based on modulus. From experimental results, it can be seen that the proposed method hides much more information and maintains a better visual quality of stego-image compared with WCL.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"29 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":"123569871","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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