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2008 IEEE International Conference on Computational Cybernetics最新文献

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Method of weighted residuals on the base of neuronet's approximations for computer simulation of hydrodynamics problems 基于神经网络近似的加权残差方法在流体力学问题计算机模拟中的应用
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721413
A. Kretinin, Y. Bulygin, M. I. Kirpichev
{"title":"Method of weighted residuals on the base of neuronet's approximations for computer simulation of hydrodynamics problems","authors":"A. Kretinin, Y. Bulygin, M. I. Kirpichev","doi":"10.1109/ICCCYB.2008.4721413","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721413","url":null,"abstract":"The algorithm of the numerical decision of the hydrodynamics equations with representation of the decision on method of weighted residuals on the base of general neuronet's approximation in the whole flow area is developed. The algorithm is tested on decision of the two-dimensional Navier-Stokes equations.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131768512","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
An Iterated Extended Risk-Sensitive Filters for Nonlinear Filtering Problems 非线性滤波问题的迭代扩展风险敏感滤波器
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721390
M. Srinivasan, M.K. Tyagi, K.R. Rani, M. Suman, B.L. Rao
{"title":"An Iterated Extended Risk-Sensitive Filters for Nonlinear Filtering Problems","authors":"M. Srinivasan, M.K. Tyagi, K.R. Rani, M. Suman, B.L. Rao","doi":"10.1109/ICCCYB.2008.4721390","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721390","url":null,"abstract":"The problem for filtering certain classes of systems which incorporate nonlinear, uncertainty initial condition is addressed. An extended risk-sensitive filter (ERSF) is reexamined and, new iterated version of that ERSF called the iterated extended risk sensitive filters (IERSF) is developed. An ERSF weakness specifically accumulation error in the computing of innovation steps due to approximating nonlinear functions at recently available prior estimate is presented. By using the IERSF with proper tuning of risk factor and local iteration, the filtering divergence may be overcome, and a stable, robust and unbiased estimation is obtained satisfactorily. The performance of IERSF is compared with the performance of ERSF through an application of nonlinear bimodal signal estimation problem. The IERSF results in reduced estimation error without increase in burden of the associated computational algorithm.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124645069","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
Application of Fractional Calculus in Engineering Sciences 分数阶微积分在工程科学中的应用
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721370
J. Machado
{"title":"Application of Fractional Calculus in Engineering Sciences","authors":"J. Machado","doi":"10.1109/ICCCYB.2008.4721370","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721370","url":null,"abstract":"The fractional calculus (FC) goes back to the beginning of the theory of differential calculus. Nevertheless, the application of FC just emerged in the last two decades, due to the progress in the area of chaos and nonlinear dynamics that revealed subtle relationships with the FC concepts. In the field of dynamical systems theory some work has been carried out but the proposed models and algorithms are still in a preliminary stage of establishment. Having these ideas in mind, the paper discusses the application of FC in engineering sciences.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115990024","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
Further Results on Migrative Triangular Norms 关于迁移三角范数的进一步结果
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721391
J. Fodor, I. Rudas
{"title":"Further Results on Migrative Triangular Norms","authors":"J. Fodor, I. Rudas","doi":"10.1109/ICCCYB.2008.4721391","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721391","url":null,"abstract":"In this paper we continue our study on the migrative property of triangular norms. First we interpret this property as a particular form of the generalized associativity functional equation. This makes it easy to extend the original property, and also to characterize it with the help of a very simple equation. Then we turn back to the original notion and show two representation (construction) theorems for migrative triangular norms that are continuous. Since the migrative property excludes both idempotent and nilpotent classes, the representation is carried out by solving a functional equation for additive generators of strict t-norms. We also study cases when the construction results in a smooth generator.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126532752","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
Analysis of cutting-force signals by time-frequency localization methods 切削力信号的时频局部化分析
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721377
T. Kovacs, E. Csizmás, A. Szabó
{"title":"Analysis of cutting-force signals by time-frequency localization methods","authors":"T. Kovacs, E. Csizmás, A. Szabó","doi":"10.1109/ICCCYB.2008.4721377","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721377","url":null,"abstract":"In this work the force signal of a metal cutting process were analyzed by continuous wavelets and Hilbert-Huang Transformation (HHT). The main purpose was to reveal the dominant frequencies and the frequency-time functions of the vibrating sub-systems in the cutting process. Three dominating vibration modes were detected with strongly fluctuating measured frequency values confined in a relatively narrow frequency band. Here we show that this fluctuation has not only numeric but physical reasons, and one of these reasons is probably the coupling between the vibration modes. It turned out that the wavelet analysis method is capable of tracing fast varying frequencies of the signal with values close to each other by the proper choice of the central frequency parameter of the mother wavelet. In comparison with the HHT the wavelet method showed much more robust in this case.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072762","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
Construction of a High Precision Tactile Measuring Probe 高精度触觉测量探头的研制
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721409
G. Hermann
{"title":"Construction of a High Precision Tactile Measuring Probe","authors":"G. Hermann","doi":"10.1109/ICCCYB.2008.4721409","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721409","url":null,"abstract":"With the appearance of micromachined mechanical elements and nanotechnology, increased demand can be observed for coordinate measuring systems having submicron accuracy. Probes are major components of such a coordinate measuring machine. They contribute to a large extend to measurement uncertainty of the CMM. In this paper a new low cost design is presented. The moving element of the probe head consists of the stylus and a crossform intermediate body with a small aluminium enhanced mirror at two end and at the center. The intermediate body is suspended on four springs made of berillium-copper folies. The displacement of the probe tip is calculated from the displacement and the rotations of the mirrors measured by modified optical pick-ups.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123346094","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
Linking and Activation Potential Optimization in the Pulse Coupled Neural Network 脉冲耦合神经网络的连接与激活电位优化
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721384
R. Forgác, I. Mokris
{"title":"Linking and Activation Potential Optimization in the Pulse Coupled Neural Network","authors":"R. Forgác, I. Mokris","doi":"10.1109/ICCCYB.2008.4721384","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721384","url":null,"abstract":"The paper introduces an approach for linking and activation potential optimization in the Pulse Coupled Neural Network (PCNN) to reduce the number of PCNN parameters. Linking potential has high influence on control of internal activity of PCNN neuron. The neuron internal activity, represented by activation potential, determines the pulse response mode of neuron in the PCNN. Because standard PCNN has up to ten parameters, it is very difficult set up all optimal values of them. With linking and activation potential optimization are better possibilities for PCNN application because four parameters were eliminated.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788637","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
Residual Filter Design Using Computational Mathematics Methods 用计算数学方法设计残差滤波器
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721386
A. Filasová, D. Krokavec
{"title":"Residual Filter Design Using Computational Mathematics Methods","authors":"A. Filasová, D. Krokavec","doi":"10.1109/ICCCYB.2008.4721386","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721386","url":null,"abstract":"Reformulated principle for designing a fault residual filter for continuous-time linear MIMO system, based on computational mathematics methods, is treated in this paper. The problem addressed can be indicated as an approach given sufficient conditions for stable residual filter design based on Lyapunov function. Two linear matrix inequalities are outlined to posses stable residual filter structure closest to unknown input observer based residual filter. A structural system model example is presented to illustrate properties of proposed design method.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125446363","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
Mining and Integration of Environmental Data 环境数据的挖掘与集成
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721415
L. Hluchý, O. Habala, M. Ciglan, V. Tran
{"title":"Mining and Integration of Environmental Data","authors":"L. Hluchý, O. Habala, M. Ciglan, V. Tran","doi":"10.1109/ICCCYB.2008.4721415","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721415","url":null,"abstract":"This paper presents one of the pilot applications of the EU IST project ADMIRE. It briefly presents the project ADMIRE and data mining of spatio-temporal data in general. Then it focuses on an evolution of an environmental scientific application, being developed for more than 8 years. The application, originally targeting flood simulation and prediction is now being extended into the broader context of environmental studies. We present a brief history of the application, and the changes it has undergone in project ADMIRE. Then we describe several interesting scenarios, in which data mining and integration of distributed environmental data can improve our knowledge of the relations between various hydro-meteorological variables.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128185550","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
Guided Classification using CCV and Wavelet Features for Greenery and Non-Greenery Images 基于CCV和小波特征的绿色和非绿色图像分类
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721398
P. Balamurugan, R. Rajesh
{"title":"Guided Classification using CCV and Wavelet Features for Greenery and Non-Greenery Images","authors":"P. Balamurugan, R. Rajesh","doi":"10.1109/ICCCYB.2008.4721398","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721398","url":null,"abstract":"This paper focuses on finding the image features in both spatial and wavelet domain and applied that for greenery and non-greenery image classification. The spatial color feature called guided color coherence feature(GCCF) & guided distance feature in wavelet(GDFW) are calculated for the purpose of classification. The color coherence vector is constructed for all images and is used to find three GCCFs namely DeltaH, DeltaG & DeltaI . For finding guided distance feature in wavelet (GDFW), the input images are decomposed into 16 blocks using 2-dimensional discrete wavelet transform. Then wavelet image feature vector is formed by calculating mean and variance in each block. The difference between guide wavelet image and input wavelet image is named as guided distance feature in wavelet(GDFW) is calculated. Here one or more guide images are used for finding these guided features. These parameters are given in different combinations as input to the adaptive neuro fuzzy inference system(ANFIS). The performance of system is illustrated with a set of 600 images containing both greenery and non-greenery images.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127307791","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
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