Pub Date : 2010-12-06DOI: 10.1109/DBTA.2010.5658740
Q. Ma
In this paper the structural controllability of a class of nonlinear system is investigated. The transfer function (matrix) of nonlinear systems is obtained by putting the nonlinear system model on non-commutative ring. Conditions of structural controllability of nonlinear systems are presented according to the criterion of linear systems structural controllability in frequency domain.An example is used to testify the presented conditions finally.
{"title":"Structural Controllability of Nonlinear Systems: A Polynomial Method","authors":"Q. Ma","doi":"10.1109/DBTA.2010.5658740","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5658740","url":null,"abstract":"In this paper the structural controllability of a class of nonlinear system is investigated. The transfer function (matrix) of nonlinear systems is obtained by putting the nonlinear system model on non-commutative ring. Conditions of structural controllability of nonlinear systems are presented according to the criterion of linear systems structural controllability in frequency domain.An example is used to testify the presented conditions finally.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122652739","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659045
S. Dong, Zeng-zhen Shao
HP (Analytic Hierarchy Process) is a kind of method that people use frequently in the financial performance evaluation. Traditional AHP method often leads to uncertainty of information cognition considering the uncertainty of person's cognition. It's not easy to get good results only with AHP. According to 3E principle of financial expenditure, this paper proposes the strategy which combines the gray system with the analytic hierarchy process theory together to appraise financial expenditure performance. Result shows that the accuracy of performance evaluation is higher.
{"title":"AHP of Gray System and Its Application in Performance Evaluation of Financial Expenditure","authors":"S. Dong, Zeng-zhen Shao","doi":"10.1109/DBTA.2010.5659045","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659045","url":null,"abstract":"HP (Analytic Hierarchy Process) is a kind of method that people use frequently in the financial performance evaluation. Traditional AHP method often leads to uncertainty of information cognition considering the uncertainty of person's cognition. It's not easy to get good results only with AHP. According to 3E principle of financial expenditure, this paper proposes the strategy which combines the gray system with the analytic hierarchy process theory together to appraise financial expenditure performance. Result shows that the accuracy of performance evaluation is higher.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123322584","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659039
Ruiqing Wang, Fuxiong Wang, Wentian Ji
Under deregulated environment, accurate electricity price forecasting is a crucial issue concerned by all participants. Experience shows that single forecasting model is very difficult to improve the forecasting accuracy due to the complicated factors affecting electricity prices. A particle swarm optimization (PSO) based GM(1,2) method on day-ahead electricity price forecasting with predicted error improvement is proposed, in which the moving average method is used to process the raw series, the PSO based GM(1,2) model to the processed series and the time series analysis to further improve the predicted errors. The numerical example based on the historical data of the PJM market shows that the method can reflect the characteristics of electricity price better and the forecasting accuracy can be improved virtually compared with the conventional GM(1,2) model. The forecasted prices accurate enough to be used by market participants to prepare their bidding strategies.
{"title":"Particle Swarm Optimization Based GM(1,2) Method on Day-Ahead Electricity Price Forecasting with Predicted Error Improvement","authors":"Ruiqing Wang, Fuxiong Wang, Wentian Ji","doi":"10.1109/DBTA.2010.5659039","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659039","url":null,"abstract":"Under deregulated environment, accurate electricity price forecasting is a crucial issue concerned by all participants. Experience shows that single forecasting model is very difficult to improve the forecasting accuracy due to the complicated factors affecting electricity prices. A particle swarm optimization (PSO) based GM(1,2) method on day-ahead electricity price forecasting with predicted error improvement is proposed, in which the moving average method is used to process the raw series, the PSO based GM(1,2) model to the processed series and the time series analysis to further improve the predicted errors. The numerical example based on the historical data of the PJM market shows that the method can reflect the characteristics of electricity price better and the forecasting accuracy can be improved virtually compared with the conventional GM(1,2) model. The forecasted prices accurate enough to be used by market participants to prepare their bidding strategies.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"12 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402136","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659096
Ming Li, C. Jiang, Zi Yuan, Zaicheng Wang
Time delay estimation is the basis of target orientation of multi-sensor network,while the preliminary analysis and processing of the time delay signal is very important to the time delay estimation.In this paper,a virtual instrument time delay analysis system is designed,which contains: a virtual oscilloscope,a virtual spectrum analyzer,a virtual filter and a virtual time delay analyzer.By the use of this analysis system,the spectrum of the acoustic target signal collected in the field is analyzed. Analysis shows the main frequency of the target signal:85Hz,20Hz,170Hz,125Hz.Significance of the time delay peak is proposed to describe the validation of the cross-correlation result.Based on the three main frequency components,signals were filtered by the three filters and analyzed separately.The time delay estimation has been carried out for several sampling data segments selected by certain rules. Results were shown in figures of time delay vs.time and significant ratio vs.time.Each curve in a figure corresponds to a certain number of points of cross correlation. According to the results, the frequency component from 155Hz to 180Hz is much more suitable for practical use. The regular pattern of the time delay curve is consistent with the target motion.Application reveals that the system is helpful in the research of time delay estimation.
{"title":"Time Delay Signal Process Assisted by Virtual Instrument","authors":"Ming Li, C. Jiang, Zi Yuan, Zaicheng Wang","doi":"10.1109/DBTA.2010.5659096","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659096","url":null,"abstract":"Time delay estimation is the basis of target orientation of multi-sensor network,while the preliminary analysis and processing of the time delay signal is very important to the time delay estimation.In this paper,a virtual instrument time delay analysis system is designed,which contains: a virtual oscilloscope,a virtual spectrum analyzer,a virtual filter and a virtual time delay analyzer.By the use of this analysis system,the spectrum of the acoustic target signal collected in the field is analyzed. Analysis shows the main frequency of the target signal:85Hz,20Hz,170Hz,125Hz.Significance of the time delay peak is proposed to describe the validation of the cross-correlation result.Based on the three main frequency components,signals were filtered by the three filters and analyzed separately.The time delay estimation has been carried out for several sampling data segments selected by certain rules. Results were shown in figures of time delay vs.time and significant ratio vs.time.Each curve in a figure corresponds to a certain number of points of cross correlation. According to the results, the frequency component from 155Hz to 180Hz is much more suitable for practical use. The regular pattern of the time delay curve is consistent with the target motion.Application reveals that the system is helpful in the research of time delay estimation.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115569536","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659113
Hongxia Zhou, Dezheng Zhang, Pin Shan
Knowledge acquisition is a dynamic process. Cognitive structure and cognitive process have great influence on knowledge acquisition and knowledge discovery. Previous research of knowledge acquisition technology focuses on local knowledge structure and static knowledge acquisition methods. Making full use of cognitive structure and cognitive process to complete knowledge acquisition, knowledge dynamic organization and unknown concept relation, and man-computer interaction of knowledge structure analysis, a kind of dynamic knowledge acquisition technology to drive the process of knowledge discovery based on cognitive is proposed in this paper. Using self-improvement of existing knowledge structure to drive knowledge discovery process in man-computer interaction process, thus the quality and efficiency of knowledge acquisition are improved. Knowledge acquisition theory based on cognitive and realization technology are studied in this paper, and the validity of the algorithm is verified by instances.
{"title":"Research on Dynamic Knowledge Acquisition Technology Based on Man-Computer Interaction","authors":"Hongxia Zhou, Dezheng Zhang, Pin Shan","doi":"10.1109/DBTA.2010.5659113","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659113","url":null,"abstract":"Knowledge acquisition is a dynamic process. Cognitive structure and cognitive process have great influence on knowledge acquisition and knowledge discovery. Previous research of knowledge acquisition technology focuses on local knowledge structure and static knowledge acquisition methods. Making full use of cognitive structure and cognitive process to complete knowledge acquisition, knowledge dynamic organization and unknown concept relation, and man-computer interaction of knowledge structure analysis, a kind of dynamic knowledge acquisition technology to drive the process of knowledge discovery based on cognitive is proposed in this paper. Using self-improvement of existing knowledge structure to drive knowledge discovery process in man-computer interaction process, thus the quality and efficiency of knowledge acquisition are improved. Knowledge acquisition theory based on cognitive and realization technology are studied in this paper, and the validity of the algorithm is verified by instances.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115832791","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659103
Yuan Lin, Zhi-xin Liu
Although asset growth has little effect on the behavior of the typical fund, funds should alter investment behavior as assets under management increase. We find that large funds diversify their portfolios in response to growth. Greater diversification, especially for large funds, is associated with better performance.
{"title":"Ownership and Diversification, An Empirical Study Based on Mutual Fund Enterprise","authors":"Yuan Lin, Zhi-xin Liu","doi":"10.1109/DBTA.2010.5659103","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659103","url":null,"abstract":"Although asset growth has little effect on the behavior of the typical fund, funds should alter investment behavior as assets under management increase. We find that large funds diversify their portfolios in response to growth. Greater diversification, especially for large funds, is associated with better performance.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131440133","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659004
Tao Peng, Xiaosu Chen, Huiyu Liu, Kai Chen
In network forensic system, there are huge amount of data should be processed, and the data contains redundant and noisy features causing slow training and testing process, high resource consumption as well as poor detection rate. In this paper, a schema is proposed to reduce the data of the forensics using manifold learning. Manifold learning is a popular recent approach to nonlinear dimensionality reduction. Algorithms for this task are based on the idea that the dimensionality of many data sets is only artificially high. In this paper, we reduce the forensic data with manifold learning, and test the result of the reduced data.
{"title":"Data Reduction for Network Forensics Using Manifold Learning","authors":"Tao Peng, Xiaosu Chen, Huiyu Liu, Kai Chen","doi":"10.1109/DBTA.2010.5659004","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659004","url":null,"abstract":"In network forensic system, there are huge amount of data should be processed, and the data contains redundant and noisy features causing slow training and testing process, high resource consumption as well as poor detection rate. In this paper, a schema is proposed to reduce the data of the forensics using manifold learning. Manifold learning is a popular recent approach to nonlinear dimensionality reduction. Algorithms for this task are based on the idea that the dimensionality of many data sets is only artificially high. In this paper, we reduce the forensic data with manifold learning, and test the result of the reduced data.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131475538","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5658994
Fatima Ardjani, K. Sadouni, M. Benyettou
In many problems of classification, the performances of a classifier are often evaluated by a factor (rate of error).the factor is not well adapted for the complex real problems, in particular the problems multiclass. Our contribution consists in adapting an evolutionary method for optimization of this factor. Among the methods of optimization used we chose the method PSO (Particle Swarm Optimization) which makes it possible to optimize the performance of classifier SVM (Separating with Vast Margin). The experiments are carried out on corpus TIMIT. The results obtained show that approach PSO-SVM gives a better classification in terms of accuracy even though the execution time is increased.
{"title":"Optimization of SVM MultiClass by Particle Swarm (PSO-SVM)","authors":"Fatima Ardjani, K. Sadouni, M. Benyettou","doi":"10.1109/DBTA.2010.5658994","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5658994","url":null,"abstract":"In many problems of classification, the performances of a classifier are often evaluated by a factor (rate of error).the factor is not well adapted for the complex real problems, in particular the problems multiclass. Our contribution consists in adapting an evolutionary method for optimization of this factor. Among the methods of optimization used we chose the method PSO (Particle Swarm Optimization) which makes it possible to optimize the performance of classifier SVM (Separating with Vast Margin). The experiments are carried out on corpus TIMIT. The results obtained show that approach PSO-SVM gives a better classification in terms of accuracy even though the execution time is increased.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131499604","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659099
Jianhua Liu, X. Qian
Oil painting's drawing program of Claude.Yvel has been analyzed in this paper. We have studied the drawing program of oil painting which based on computer, and we have realized that the oil painting drawing's teaching can be replaced by computer by a certain program. By comparing with the conventional oil painting's teaching, those studies which we have concluded in this paper are very important for the oil painting teaching. They have obvious artistic values.
{"title":"Drawing Program of Oil Painting Which Based upon Computer","authors":"Jianhua Liu, X. Qian","doi":"10.1109/DBTA.2010.5659099","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659099","url":null,"abstract":"Oil painting's drawing program of Claude.Yvel has been analyzed in this paper. We have studied the drawing program of oil painting which based on computer, and we have realized that the oil painting drawing's teaching can be replaced by computer by a certain program. By comparing with the conventional oil painting's teaching, those studies which we have concluded in this paper are very important for the oil painting teaching. They have obvious artistic values.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130883118","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 : 2010-12-06DOI: 10.1109/DBTA.2010.5659111
Xiaodan Xu
Sub-topic detecting is an important step in the abstracting of multi-documents.This paper describes a new method for sub-topic detecting based on semi-supervised learning:it firstly gets the primal sets of topics by hierarchy clustering,and labels the sentences which have high scores in the topics,then use the method of constrained-kMeans to decide the number of topics(k),and finally get the topic sets by k-Means clustering.The experiment result indicates that its value is stable.
{"title":"Study on Sub Topic Clustering of Multi-Documents Based on Semi-Supervised Learning","authors":"Xiaodan Xu","doi":"10.1109/DBTA.2010.5659111","DOIUrl":"https://doi.org/10.1109/DBTA.2010.5659111","url":null,"abstract":"Sub-topic detecting is an important step in the abstracting of multi-documents.This paper describes a new method for sub-topic detecting based on semi-supervised learning:it firstly gets the primal sets of topics by hierarchy clustering,and labels the sentences which have high scores in the topics,then use the method of constrained-kMeans to decide the number of topics(k),and finally get the topic sets by k-Means clustering.The experiment result indicates that its value is stable.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128434600","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}
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