Pub Date : 2010-07-11DOI: 10.1109/ICMLC.2010.5580728
Yun-Peng Feng, N. Zhang
Two typical communication mechanisms of mobile Agent system were analyzed, the communication mechanism based on asymmetric key encryption technology and the communication mechanism based on symmetric key encryption technology. The two kinds of communication mechanism were safe, but they have weakness on the efficiency. A new mechanism was proposed that integrated the two communication mechanisms, called S communication mechanism. Through theoretical analysis and experimental verification, the S communication mechanism can utilize the advantages of the two typical communication mechanisms and improve communication efficiency of the whole Mobile Agent system.
{"title":"The research for the efficiency of communication mechanism on mobile Agent system","authors":"Yun-Peng Feng, N. Zhang","doi":"10.1109/ICMLC.2010.5580728","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580728","url":null,"abstract":"Two typical communication mechanisms of mobile Agent system were analyzed, the communication mechanism based on asymmetric key encryption technology and the communication mechanism based on symmetric key encryption technology. The two kinds of communication mechanism were safe, but they have weakness on the efficiency. A new mechanism was proposed that integrated the two communication mechanisms, called S communication mechanism. Through theoretical analysis and experimental verification, the S communication mechanism can utilize the advantages of the two typical communication mechanisms and improve communication efficiency of the whole Mobile Agent system.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132966121","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580900
Yao-Hung Hsieh, C. Lin, H. Chen
The use with the scrolling and paging technique to view documents and text materials on the WWW has never been more common than today. Not only the visual performance but also the comfort of browsing tasks is getting increasingly important in the Internet environment. This study conducted a series of experiments, beginning with the experiments, eye movement tracking content experiment, to record every detail of the browsing behavior. The experiment s have showed us that the five steps browsing model could completely explain the reading behavior in VDT.
{"title":"The five steps browsing model on computer displays","authors":"Yao-Hung Hsieh, C. Lin, H. Chen","doi":"10.1109/ICMLC.2010.5580900","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580900","url":null,"abstract":"The use with the scrolling and paging technique to view documents and text materials on the WWW has never been more common than today. Not only the visual performance but also the comfort of browsing tasks is getting increasingly important in the Internet environment. This study conducted a series of experiments, beginning with the experiments, eye movement tracking content experiment, to record every detail of the browsing behavior. The experiment s have showed us that the five steps browsing model could completely explain the reading behavior in VDT.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132263576","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580901
Song Cheng, Sangyong Park
Passenger carriage body painting process requires both good appearance and intensity design. The carriage generally produced with steel plate, stainless steel plate and aluminum. The painting procedures, processing time and drying time are various different among the three types of materials from 2 hours to 20 hours. The purpose of this paper is to solve the jam problems causing by daily schedule and mixture manufacturing through the analysis of logistics in painting shop. ARENA was adopted for modeling the logic process and some analysis was created after adding certain waiting space and painting shops to optimize the process.
{"title":"The optimization research of train carriage painting","authors":"Song Cheng, Sangyong Park","doi":"10.1109/ICMLC.2010.5580901","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580901","url":null,"abstract":"Passenger carriage body painting process requires both good appearance and intensity design. The carriage generally produced with steel plate, stainless steel plate and aluminum. The painting procedures, processing time and drying time are various different among the three types of materials from 2 hours to 20 hours. The purpose of this paper is to solve the jam problems causing by daily schedule and mixture manufacturing through the analysis of logistics in painting shop. ARENA was adopted for modeling the logic process and some analysis was created after adding certain waiting space and painting shops to optimize the process.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130936176","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580873
Wei-Li Shi, Qing-Shu Kong, Chuan Sun
Innovation is the most important task for the national high-tech zone; it's also the most important mission who is given by the country. In this paper, 12 typical samples were selected in 56 national high-tech zones used data envelopment analysis. An evaluating system of innovation efficiency is established in national hi-tech zone. Based on the creative efficiency evaluation system, innovation efficiency is analyzed and evaluated by C2R model. Using results of the analysis and evaluation, countermeasures are proposed to improve the efficiency of technological innovation.
{"title":"Analysis and evaluation of innovation efficiency in the national hi-tech zone based on DEA","authors":"Wei-Li Shi, Qing-Shu Kong, Chuan Sun","doi":"10.1109/ICMLC.2010.5580873","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580873","url":null,"abstract":"Innovation is the most important task for the national high-tech zone; it's also the most important mission who is given by the country. In this paper, 12 typical samples were selected in 56 national high-tech zones used data envelopment analysis. An evaluating system of innovation efficiency is established in national hi-tech zone. Based on the creative efficiency evaluation system, innovation efficiency is analyzed and evaluated by C2R model. Using results of the analysis and evaluation, countermeasures are proposed to improve the efficiency of technological innovation.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131341505","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580837
Guang-Xin Huang, Huafu Chen, F. Yin
Support vector data description is a data description method which can give the target data set a spherically shaped description. However, when the target data set contains two classes of objects, this data description method can treat the target data set as a whole and give only one description for the training data set. This paper presents an improved support vector data description, which could give each class of target objects in the target data set a hyper-spherically shaped boundary, if the target data set contains two classes of objects.
{"title":"Improved support vector data description","authors":"Guang-Xin Huang, Huafu Chen, F. Yin","doi":"10.1109/ICMLC.2010.5580837","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580837","url":null,"abstract":"Support vector data description is a data description method which can give the target data set a spherically shaped description. However, when the target data set contains two classes of objects, this data description method can treat the target data set as a whole and give only one description for the training data set. This paper presents an improved support vector data description, which could give each class of target objects in the target data set a hyper-spherically shaped boundary, if the target data set contains two classes of objects.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129258223","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5581032
Santhosh Pathical, G. Serpen
This paper presents the comparison of three subsampling techniques for random subspace ensemble classifiers through an empirical study. A version of random subspace ensemble designed to address the challenges of high dimensional classification, entitled random subsample ensemble, within the voting combiner framework was evaluated for its performance for three different sampling methods which entailed random sampling without replacement, random sampling with replacement, and random partitioning. The random subsample ensemble was instantiated using three different base learners including C4.5, k-nearest neighbor, and naïve Bayes, and tested on five high-dimensional benchmark data sets in machine learning. Simulation results helped ascertain the optimal sampling technique for the ensemble, which turned out to be the sampling without replacement.
{"title":"Comparison of subsampling techniques for random subspace ensembles","authors":"Santhosh Pathical, G. Serpen","doi":"10.1109/ICMLC.2010.5581032","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5581032","url":null,"abstract":"This paper presents the comparison of three subsampling techniques for random subspace ensemble classifiers through an empirical study. A version of random subspace ensemble designed to address the challenges of high dimensional classification, entitled random subsample ensemble, within the voting combiner framework was evaluated for its performance for three different sampling methods which entailed random sampling without replacement, random sampling with replacement, and random partitioning. The random subsample ensemble was instantiated using three different base learners including C4.5, k-nearest neighbor, and naïve Bayes, and tested on five high-dimensional benchmark data sets in machine learning. Simulation results helped ascertain the optimal sampling technique for the ensemble, which turned out to be the sampling without replacement.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125548298","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580617
Xiaoping Zong, Z. Diao
This paper is devoted to study the problem of controlling chaos in Liu chaotic system and uses feedback method to suppress chaos to unstable equilibrium points. The Routh-Hurwitz Criteria is used to study the conditions of the asymptotic stability of the steady states of the controlled system. Numerical simulations are presented to show these results.
{"title":"States feedback control for Liu chaotic system","authors":"Xiaoping Zong, Z. Diao","doi":"10.1109/ICMLC.2010.5580617","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580617","url":null,"abstract":"This paper is devoted to study the problem of controlling chaos in Liu chaotic system and uses feedback method to suppress chaos to unstable equilibrium points. The Routh-Hurwitz Criteria is used to study the conditions of the asymptotic stability of the steady states of the controlled system. Numerical simulations are presented to show these results.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123295283","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580930
Piyarat Silapasuphakornwong, Suphakant Phimoltares, C. Lursinsap, A. Hansuebsai
The human posture estimation in surveillance caring application can improves the people everyday life, In this paper, we propose a method that is invariant to background, distance of camera location, size and cloths of people in the frames. A silhouette is projected to the horizontal and vertical histograms for features extraction. The important features are based on the length and width of body parts of human. The proposed features are more suitable for classifying human posture into four main categories such as standing, lying, sitting, and bending, obviously appeared with the high percentage of recognition when compared with the traditional features in the ANFIS model. The increase of accuracy comes from the robustness of various environments such as the complicated posture of a changed body position and camera distance.
{"title":"Posture recognition invariant to background, cloth textures, body size, and camera distance using morphological geometry","authors":"Piyarat Silapasuphakornwong, Suphakant Phimoltares, C. Lursinsap, A. Hansuebsai","doi":"10.1109/ICMLC.2010.5580930","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580930","url":null,"abstract":"The human posture estimation in surveillance caring application can improves the people everyday life, In this paper, we propose a method that is invariant to background, distance of camera location, size and cloths of people in the frames. A silhouette is projected to the horizontal and vertical histograms for features extraction. The important features are based on the length and width of body parts of human. The proposed features are more suitable for classifying human posture into four main categories such as standing, lying, sitting, and bending, obviously appeared with the high percentage of recognition when compared with the traditional features in the ANFIS model. The increase of accuracy comes from the robustness of various environments such as the complicated posture of a changed body position and camera distance.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126361041","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580637
Jingyuan Han, Li-Qun Mei, Tao Wang
Customer value is a key criterion for a company to evaluate its customers, which is also a basis for a company to allocate resource to customers. Based on customer value researches made by scholars at home and abroad, this paper uses customer value management to the release of teaching assistant newspaper profession for the first time. In this paper, the author combines AHP and K-means clustering method, and divides the Chinese weekly newspaper office's customers into platinum customers, golden customers, iron customers and lead customers by selecting appropriate indicators which based on customer's current value and potential value. At last, this paper proposes some strategic suggestions for the office's management for each type of customers, which could make the office's resources more efficient for each customer.
{"title":"Customer value management based on AHP and K-means clustering method","authors":"Jingyuan Han, Li-Qun Mei, Tao Wang","doi":"10.1109/ICMLC.2010.5580637","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580637","url":null,"abstract":"Customer value is a key criterion for a company to evaluate its customers, which is also a basis for a company to allocate resource to customers. Based on customer value researches made by scholars at home and abroad, this paper uses customer value management to the release of teaching assistant newspaper profession for the first time. In this paper, the author combines AHP and K-means clustering method, and divides the Chinese weekly newspaper office's customers into platinum customers, golden customers, iron customers and lead customers by selecting appropriate indicators which based on customer's current value and potential value. At last, this paper proposes some strategic suggestions for the office's management for each type of customers, which could make the office's resources more efficient for each customer.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443662","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 : 2010-07-11DOI: 10.1109/ICMLC.2010.5580750
Xuan Lin, Shangwei Yan, Pi-Yuan Lin, Pei-Jie Huang
The Examination of broiler price periods is very important in forecasting broiler price for the poultry breeding industry because it is beneficial to maximizing the profit and minimizing the risk. As wavelet transforms are well known to work well for reducing the noise of the data, in this paper we perform wavelet transforms and pork prices to de-noise the broiler prices, and then apply variance analysis to calculate length of the broiler price periods.
{"title":"Research on examination of broiler price periods in data mining","authors":"Xuan Lin, Shangwei Yan, Pi-Yuan Lin, Pei-Jie Huang","doi":"10.1109/ICMLC.2010.5580750","DOIUrl":"https://doi.org/10.1109/ICMLC.2010.5580750","url":null,"abstract":"The Examination of broiler price periods is very important in forecasting broiler price for the poultry breeding industry because it is beneficial to maximizing the profit and minimizing the risk. As wavelet transforms are well known to work well for reducing the noise of the data, in this paper we perform wavelet transforms and pork prices to de-noise the broiler prices, and then apply variance analysis to calculate length of the broiler price periods.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126558815","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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