Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)最新文献
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.942028
V. Shut, I. Prozherin
In this paper, the travelling salesman problem and its solution by a method of correlative regression analysis are considered. The mathematical model of the given method is considered. The method allows the problem to be solved by using a minimum memory size of /spl sim/o(n/sup 2/+3n) cells and with a small run time /spl sim/o(n).
{"title":"A solution of travelling salesman problem by a method of correlative-regression analysis","authors":"V. Shut, I. Prozherin","doi":"10.1109/IDAACS.2001.942028","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.942028","url":null,"abstract":"In this paper, the travelling salesman problem and its solution by a method of correlative regression analysis are considered. The mathematical model of the given method is considered. The method allows the problem to be solved by using a minimum memory size of /spl sim/o(n/sup 2/+3n) cells and with a small run time /spl sim/o(n).","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124366847","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.941995
C. Triki, L. Grandinetti
In this paper, we discuss the use of computational grids to solve stochastic optimization problems. These problems are generally difficult to solve and are often characterized by a high number of variables and constraints. Furthermore, for some applications, it is required to achieve a real-time solution. Obtaining reasonable results is a difficult objective without the use of high-performance computing. We present a grid-enabled path-following algorithm and we discuss some experimental results.
{"title":"Computational grids to solve large scale optimization problems with uncertain data","authors":"C. Triki, L. Grandinetti","doi":"10.1109/IDAACS.2001.941995","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.941995","url":null,"abstract":"In this paper, we discuss the use of computational grids to solve stochastic optimization problems. These problems are generally difficult to solve and are often characterized by a high number of variables and constraints. Furthermore, for some applications, it is required to achieve a real-time solution. Obtaining reasonable results is a difficult objective without the use of high-performance computing. We present a grid-enabled path-following algorithm and we discuss some experimental results.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122254039","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.941991
M. Kolodnytsky, A. Kovalchuk
After a brief enumeration of the software for data visualisation, we give a set of demands for this sort of software. We discuss the user's interactive and adaptive interface of the scientific data visualisation software system entitled "Graph Server", which was designed and developed by the authors. Examples of the interface's control panel and samples of screenshots of 2D/3D hodograph curves, 2D/3D histograms, 3D surfaces and 2D areas are presented.
{"title":"Interactive software tool for data visualisation","authors":"M. Kolodnytsky, A. Kovalchuk","doi":"10.1109/IDAACS.2001.941991","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.941991","url":null,"abstract":"After a brief enumeration of the software for data visualisation, we give a set of demands for this sort of software. We discuss the user's interactive and adaptive interface of the scientific data visualisation software system entitled \"Graph Server\", which was designed and developed by the authors. Examples of the interface's control panel and samples of screenshots of 2D/3D hodograph curves, 2D/3D histograms, 3D surfaces and 2D areas are presented.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133116057","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.942006
K. Spasokukotskiy, D. Jelondz, H. Traenkler
In this paper the problems of automatic climate control of separated living rooms and the technical set for data acquisition are discussed. Also the operational processes which deal with problem solving are considered.
本文讨论了分离式客厅气候自动控制的问题及数据采集的技术设置。还考虑了处理问题解决的操作过程。
{"title":"Technical base for separated rooms climate automatic control","authors":"K. Spasokukotskiy, D. Jelondz, H. Traenkler","doi":"10.1109/IDAACS.2001.942006","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.942006","url":null,"abstract":"In this paper the problems of automatic climate control of separated living rooms and the technical set for data acquisition are discussed. Also the operational processes which deal with problem solving are considered.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122227789","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.941983
A. Doudkin, A.G. Machnev, A.M. Selikhanovich
A parallel algorithm for the discrete orthogonal transformation of 2-D signals is proposed. The following two main features distinguish it from known algorithms. The number of operations of multiplication and addition is smaller than those used in known algorithms and coefficients of transformation are computed at once without executing 1D transformations. The structure of the algorithm is also convenient for VLSI implementation.
{"title":"Iterative algorithm for discrete orthogonal transformation of signals in base of two-dimensional functions","authors":"A. Doudkin, A.G. Machnev, A.M. Selikhanovich","doi":"10.1109/IDAACS.2001.941983","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.941983","url":null,"abstract":"A parallel algorithm for the discrete orthogonal transformation of 2-D signals is proposed. The following two main features distinguish it from known algorithms. The number of operations of multiplication and addition is smaller than those used in known algorithms and coefficients of transformation are computed at once without executing 1D transformations. The structure of the algorithm is also convenient for VLSI implementation.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426344","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.942027
E. Marecka
Mathematical models are proposed for the consolidation of credits which are repaid in complete instalments. The developed models take into account various ways of charging interest: simple or compound interest, and fixed or floating interest rates. This mathematical apparatus enables us to compare the costs of credits and to find the optimum conditions for granting the credits.
{"title":"Informational and analytical system for support of financial and credit activity","authors":"E. Marecka","doi":"10.1109/IDAACS.2001.942027","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.942027","url":null,"abstract":"Mathematical models are proposed for the consolidation of credits which are repaid in complete instalments. The developed models take into account various ways of charging interest: simple or compound interest, and fixed or floating interest rates. This mathematical apparatus enables us to compare the costs of credits and to find the optimum conditions for granting the credits.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127568397","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.942000
A. P. Bykov, V. Didenko, A. Movchan, J. S. Solodov
The paper considers the problem of the minimization of the number of parameters necessary to describe the accuracy of data acquisition systems. The minimization is fulfilled on the example of AD7714 /spl Sigma/-/spl Delta/ ADC by Analog Devices.
{"title":"Minimization of parameters number describing accuracy of data acquisition system","authors":"A. P. Bykov, V. Didenko, A. Movchan, J. S. Solodov","doi":"10.1109/IDAACS.2001.942000","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.942000","url":null,"abstract":"The paper considers the problem of the minimization of the number of parameters necessary to describe the accuracy of data acquisition systems. The minimization is fulfilled on the example of AD7714 /spl Sigma/-/spl Delta/ ADC by Analog Devices.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"94 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114131019","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.942022
B. Kizlik, V. Nichoga, P. Dub
The problem of the determination of group velocity and the dispersion coefficient in the distributed vibration sensor of a fibre optic Michelson's interferometer configuration is considered. The influence of the acoustic wave on the optical wave in a Bragg modulator is described. It is shown that such an interferometer can be used as a distributed highly sensitive sensor of mechanical values (vibration, acoustic wave, pressure, displacement).
{"title":"Group velocity and dispersion coefficient in the distributed sensor of vibration in fibre optic Michelson's interferometer configuration","authors":"B. Kizlik, V. Nichoga, P. Dub","doi":"10.1109/IDAACS.2001.942022","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.942022","url":null,"abstract":"The problem of the determination of group velocity and the dispersion coefficient in the distributed vibration sensor of a fibre optic Michelson's interferometer configuration is considered. The influence of the acoustic wave on the optical wave in a Bragg modulator is described. It is shown that such an interferometer can be used as a distributed highly sensitive sensor of mechanical values (vibration, acoustic wave, pressure, displacement).","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128988499","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.941972
L. Pena F., S. Simon M., R. Duro, D. Vilaboy Rego
A delay based artificial neural network is used to analyse turbulent flow temporal signals obtained by a hot wire anemometer in a single point within the wake of a cylinder. Values of the Reynolds number are ranging from 2000 to 8000, covering flows from almost laminar to fully turbulent. The implemented trainable delay based artificial neural network is able to autonomously obtain the embedding dimension as well as the normalized embedding delay and permits performing short and long term predictions. The predictions are mainly concerned with the larger eddies and coherent structures present in the turbulent flow-field.
{"title":"Using delay based networks for detecting coherent structures in turbulence from hot-wire anemometer signals","authors":"L. Pena F., S. Simon M., R. Duro, D. Vilaboy Rego","doi":"10.1109/IDAACS.2001.941972","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.941972","url":null,"abstract":"A delay based artificial neural network is used to analyse turbulent flow temporal signals obtained by a hot wire anemometer in a single point within the wake of a cylinder. Values of the Reynolds number are ranging from 2000 to 8000, covering flows from almost laminar to fully turbulent. The implemented trainable delay based artificial neural network is able to autonomously obtain the embedding dimension as well as the normalized embedding delay and permits performing short and long term predictions. The predictions are mainly concerned with the larger eddies and coherent structures present in the turbulent flow-field.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125454728","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}
Pub Date : 2001-07-01DOI: 10.1109/IDAACS.2001.942008
A. M. Prokhorenkov
The solution of the problem of stationary or non-stationary process class and a kind of non-stationarity identification is considered. Analysis is done for the determination of current estimates of expectation for processes that are non-stationary according to mathematical expectation and dispersion methods.
{"title":"Methods for identification of random processes characteristics in information processing systems","authors":"A. M. Prokhorenkov","doi":"10.1109/IDAACS.2001.942008","DOIUrl":"https://doi.org/10.1109/IDAACS.2001.942008","url":null,"abstract":"The solution of the problem of stationary or non-stationary process class and a kind of non-stationarity identification is considered. Analysis is done for the determination of current estimates of expectation for processes that are non-stationary according to mathematical expectation and dispersion methods.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"348 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122104542","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}
Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)
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