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2010 Fourth International Conference on Genetic and Evolutionary Computing最新文献

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H8 Robust Control of Combustion Based on the Radiant Energy Signal 基于辐射能量信号的燃烧鲁棒控制
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.212
Lijun Chen, Hong Xue, Bo Sun, Zhengxin Zhou
{"title":"H8 Robust Control of Combustion Based on the Radiant Energy Signal","authors":"Lijun Chen, Hong Xue, Bo Sun, Zhengxin Zhou","doi":"10.1109/ICGEC.2010.212","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.212","url":null,"abstract":"Considering that main steam pressure of combustion system is a big-lagged, big-inertial and nonlinear object, the furnace radiation signals can rapidly reflect changes in combustion rate. A new controller based on the H∞ mixed sensitivity is applied as outer loop. By choosing proper weighting function, the MATLAB robust toolbox is used to obtain the H∞ optimal controller. Simulation result shows the project is effective to control nonlinear and big-lagged system. Keywords-combustion system; radiant energy; weighting function; H∞ mixed sensitivity; simulation","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204648","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
Apply the Ant Feature of Sensation to Calculate the Minimum Value of Function 应用蚂蚁感知特征计算函数的最小值
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.96
Chao-Yang Pang, Qiongjing Yang, Yan Zhang, Ben-Qiong Hu
{"title":"Apply the Ant Feature of Sensation to Calculate the Minimum Value of Function","authors":"Chao-Yang Pang, Qiongjing Yang, Yan Zhang, Ben-Qiong Hu","doi":"10.1109/ICGEC.2010.96","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.96","url":null,"abstract":"Calculating the minimum (or maximum) value of functions is an important problem in optimization field. Applying the method of ant colony optimization (ACO) to solve the problem is an interesting research topic currently, and the main disadvantage is that solution is local optimal. To evade this disadvantage in some degree, in this paper, the ant feature of sensation is used. Experiment shows that the method presented in this paper generates high quality of solution.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116293880","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 Software System for Anisotropic Diffusion Analysis of Diffusion Tensor Images 扩散张量图像各向异性扩散分析软件系统
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.190
Chia-Hao Chang, Chih-Yu Hsu, Yuji Yang, K. Tseng
{"title":"A Software System for Anisotropic Diffusion Analysis of Diffusion Tensor Images","authors":"Chia-Hao Chang, Chih-Yu Hsu, Yuji Yang, K. Tseng","doi":"10.1109/ICGEC.2010.190","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.190","url":null,"abstract":"A software system of an isotropic diffusion analysis was developed for diffusion index calculation and fiber tractography of diffusion tensor magnetic resonance imaging (DT-MRI) data. The least square method is used to solve tensor calculation. The fractional anisotropy (FA) and color-coded FA mapping were calculated. The paper explain how to calculate diffusion tensor, eigenvalues and other parameters of each voxel and the fiber tracts. The fibers in the whole brain were obtained by the Streamline Tracking Techniques (STT). Matlab code developed the software program for an isotropic diffusion analysis of diffusion tensor images and it will be opened in the sprit of open source. We hope the code will help the researchers who are interested in the DTI images for research of neuron science.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126365033","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
The Annual Power Demand Prediction Approach by Fuzzy-Genetic Algorithm 基于模糊遗传算法的年电力需求预测方法
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.62
Wen-Bin Lin, Chia-Ching Lin, H. Chiang, Chien-An Chen, Liang-I Tai
{"title":"The Annual Power Demand Prediction Approach by Fuzzy-Genetic Algorithm","authors":"Wen-Bin Lin, Chia-Ching Lin, H. Chiang, Chien-An Chen, Liang-I Tai","doi":"10.1109/ICGEC.2010.62","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.62","url":null,"abstract":"This paper focus on two types of the industry class high-voltage consumer, to investigate various kind of electricity fees which includes demand charge, energy charge, power factor charge and penalty charge, and correlation among them according to the monthly electricity fee calculation structure in the past. Using the simulation of Fuzzy theory analysis and the Optimal Learning of Genetic Algorithm method, the optimal contract capacity can be derived by selecting annual peak load as a key parameter. The Industrial Class Consumer can predict the plant operation power consumption to fulfill energy conservation goal.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"136 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131433436","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
Design and Implementation of Production Environment Monitoring System Based on GPRS-Internet 基于GPRS-Internet的生产环境监测系统的设计与实现
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.207
Lei Wu, Jie Hu
{"title":"Design and Implementation of Production Environment Monitoring System Based on GPRS-Internet","authors":"Lei Wu, Jie Hu","doi":"10.1109/ICGEC.2010.207","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.207","url":null,"abstract":"In this paper, A production environment monitoring system based on GPRS-Internet was designed and implemented. The system uses ARM9 embedded CPU as its host and realizes monitoring function and man-machine interface by using cross-platform C++ graphic interface library Qt in Linux OS. It sends collected data to remote server by GPRS model and clients realize real-time and long distance monitoring for environment through WEB service. The results show that it is a low cost, versatile, scalable and reliable system, and it can be easily applied to industrial and agricultural environmental monitoring. Basically, it provides a new design idea for remote monitoring of the environment.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134417913","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: 8
Application of Petri Nets in Material Supply Systems Petri网在物资供应系统中的应用
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.24
Zhicao Dong, Xinhui Zhao
{"title":"Application of Petri Nets in Material Supply Systems","authors":"Zhicao Dong, Xinhui Zhao","doi":"10.1109/ICGEC.2010.24","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.24","url":null,"abstract":"With the increasing Scale of the business and the cost of production in the market environment, enterprises have to consider internal and external organizational boundaries to find different angles that enhance the supply of customers, and it applied for method of subordinate units also. In particular, the theory of process reengineering based on supply chain management which is not mature yet. As for the supply chain management changes into business process reengineering environment, Traditional business process itself which needs to expand. In this paper, firstly, it introduces basic concepts of the Petri nets. Secondly, it introduces the concurrency, clash, bumping and how it describes the linkages between the events. What’s more, it describes application of Petri nets in the material supply system. Finally, it takes a unit in particular stage material demand information processing, for example, modeling and analysis the situation to explain the Petri nets, which application in the material supply system.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133933503","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
Research on Methods of Integrated Information System Based on the BSP 基于BSP的集成信息系统方法研究
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.140
Shuwei Huang, Xueying Wang
{"title":"Research on Methods of Integrated Information System Based on the BSP","authors":"Shuwei Huang, Xueying Wang","doi":"10.1109/ICGEC.2010.140","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.140","url":null,"abstract":"With the deepening and extension of the business management requirements, information resource planning (IRP) theory is playing an increasingly important role in the enterprise development. This paper analyzes the main elements of integrated information system and information resource planning process, describes the main methods of enterprise information planning and gives integrated information system architecture model of using IRP methodology - EA based on the BSP. Finally, this paper discusses the effects of EA on information system integration.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131560016","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: 6
Reversible Visible Watermarking for Contour Style Logo 可逆的可见水印轮廓风格的标志
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.192
W. Fang
{"title":"Reversible Visible Watermarking for Contour Style Logo","authors":"W. Fang","doi":"10.1109/ICGEC.2010.192","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.192","url":null,"abstract":"This paper proposes a reversible visible watermarking method which are contour style. According to the fact that it has informational redundancy in a nature images usually, it is possible to embed watermarking image in the corresponding area of original image. Based on the cryptography method, users can view the original image after remove the visible watermarking by the proposed method. The proposed method can be used in the image transmission of smart home application.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114636","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
Fast Macro-block Selection Algorithm Using 2-D Haar Wavelet Features for H.264 Video Codec 基于二维Haar小波特征的H.264视频编解码器快速宏块选择算法
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.156
Chung-Hsien Chang, Shi-Huang Chen, Jhing-Fa Wang
{"title":"Fast Macro-block Selection Algorithm Using 2-D Haar Wavelet Features for H.264 Video Codec","authors":"Chung-Hsien Chang, Shi-Huang Chen, Jhing-Fa Wang","doi":"10.1109/ICGEC.2010.156","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.156","url":null,"abstract":"This paper proposes a fast macro block selection algorithm using Haar wavelet features for H.264/AVC video codec system. The proposed algorithm makes use of the two-dimensional Haar wavelet transform to estimate the sub-band energy of each macro-block in a given video frame. Then the sub-band energy can be applied to the macro-block mode decision as a primary parameter. To prevent the error segmentation, the proposed algorithm uses the rate-distortion cost (RDcost) mechanism in the mode decision procedure. Various experimental results show that the proposed algorithm can effectively make a macro-block mode decision under an RDcost value. Furthermore, the execution time of the proposed wavelet-based macro-block selection algorithm is faster 2~4 times than that of the high complexity mode algorithm with the similar macro-block mode decision results.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128844984","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 Image Smoothing Algorithm Based on Variational Decomposition 一种基于变分分解的图像平滑算法
2010 Fourth International Conference on Genetic and Evolutionary Computing Pub Date : 2010-12-13 DOI: 10.1109/ICGEC.2010.52
Zhongkun He, Yongping Zhang, Rina Su, Shaojing Fan
{"title":"A Novel Image Smoothing Algorithm Based on Variational Decomposition","authors":"Zhongkun He, Yongping Zhang, Rina Su, Shaojing Fan","doi":"10.1109/ICGEC.2010.52","DOIUrl":"https://doi.org/10.1109/ICGEC.2010.52","url":null,"abstract":"A new image smoothing algorithm based on variational decomposition and vector median filtering is presented in this paper. First, the noisy image is decomposed into a bounded variation component and a oscillating component by applying Meyer-Vese-Osher model in combination with Chambolle’s fixed point algorithm. Next, the oscillating component is smoothed by using vector median filter. Then, the sum of the bounded variation component and the smoothed oscillating component is calculated to obtain the filtered resultant. Experiments show that the proposed algorithm works well in noisy image with Gaussian white noise.","PeriodicalId":373949,"journal":{"name":"2010 Fourth International Conference on Genetic and Evolutionary Computing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131322838","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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