Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646183
Hao-feng Zhang, Hai-feng Xing, Xi-yan Fan
Campus portal website aims to integrate distributed system information on campus and provide a portal for personal information center. However, in the open campus network, information sharing and gaining are not confined in the campus. The paper discusses the extension and integration of campus portal website and the convenience of the user. Through the technology of ASP. NET, AJAX, LINQ to SQL and Workflow Foundation in. NET Framework, we can construct highly interactive campus portal of rich and visual interfaces. Meanwhile, with the concept of Web 2.0, the integration of personal information in open campus portal may realize through external third-party access to resources, creating an all-round campus information platform belonging to the user's own.
校园门户网站旨在整合校园分布式系统信息，为个人信息中心提供门户。然而，在开放的校园网中，信息的共享和获取并不局限于校园内部。论述了校园门户网站的扩展与集成以及用户的便利性。通过ASP技术。. NET, AJAX, LINQ to SQL和工作流基础。NET框架下，我们可以构建具有丰富可视化界面的高交互性校园门户。同时，在Web 2.0的概念下，开放式校园门户网站中的个人信息整合可以通过外部第三方资源访问实现，打造一个属于用户自己的全方位校园信息平台。
{"title":"Research on the construction of individualized campus portal website in the Web 2.0 environments","authors":"Hao-feng Zhang, Hai-feng Xing, Xi-yan Fan","doi":"10.1109/KAM.2010.5646183","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646183","url":null,"abstract":"Campus portal website aims to integrate distributed system information on campus and provide a portal for personal information center. However, in the open campus network, information sharing and gaining are not confined in the campus. The paper discusses the extension and integration of campus portal website and the convenience of the user. Through the technology of ASP. NET, AJAX, LINQ to SQL and Workflow Foundation in. NET Framework, we can construct highly interactive campus portal of rich and visual interfaces. Meanwhile, with the concept of Web 2.0, the integration of personal information in open campus portal may realize through external third-party access to resources, creating an all-round campus information platform belonging to the user's own.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123406712","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646266
Y. OuYang, Jen-Yin Yeh, Te-Chun Lee
Effective knowledge management (KM) provides purposeful opportunities to organizations. Many factors affecting successful implementation of KM have been identified in previous research. Despite growing interest on KM, there is still a lack of a complete review the current state of critical influence factors for potentially successful KM adoption. This paper reports a literature review and a classification scheme for knowledge management. The former consists of 42 journal articles published between 1982 and 2009 that are appropriate outlets for KM research. The articles are classified and results of these are presented, based on a scheme that consists of 4 main categories: organizational factors, individual factors, KM capability and organizational performance. A comprehensive list of references is presented. Hopefully, this review will provide a source for anyone interested in KM research and help simulate further interest.
{"title":"The critical success factors for knowledge management adoption - a review study","authors":"Y. OuYang, Jen-Yin Yeh, Te-Chun Lee","doi":"10.1109/KAM.2010.5646266","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646266","url":null,"abstract":"Effective knowledge management (KM) provides purposeful opportunities to organizations. Many factors affecting successful implementation of KM have been identified in previous research. Despite growing interest on KM, there is still a lack of a complete review the current state of critical influence factors for potentially successful KM adoption. This paper reports a literature review and a classification scheme for knowledge management. The former consists of 42 journal articles published between 1982 and 2009 that are appropriate outlets for KM research. The articles are classified and results of these are presented, based on a scheme that consists of 4 main categories: organizational factors, individual factors, KM capability and organizational performance. A comprehensive list of references is presented. Hopefully, this review will provide a source for anyone interested in KM research and help simulate further interest.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909704","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646323
Bin Linghu, Bingyu Sun
This paper proposes a novel method for constructing SVM ensembles for achieving improved image classification performance. The use of an SVM ensemble, instead of a single classifier, normally aims at reducing the training complexity and improving the performance. SVM ensembles are constructed by combining a set of base classifiers. While the traditional combination methods primarily consider an individual classifier's performance on the training data, the proposed method also considers its generalization ability. With our proposed method, upon training a set of base classifiers, we estimate an optimal weight for each classifier via solving a quadratic programming problem. Then the weights can be used to combine the base classifiers to form an SVM ensemble. To reduce the classification complexity, we propose an intelligent method for filtering out the weak classifiers to obtain a small subset of the relatively strong classifiers for a simplified SVM ensemble. Experiment results show that our proposed approach outperforms other published methods. When compared to the traditional SVM ensemble method which combines all the base classifiers, the proposed method can develop simplified SVM ensembles which may achieve even better accuracy.
{"title":"Constructing effective SVM ensembles for image classification","authors":"Bin Linghu, Bingyu Sun","doi":"10.1109/KAM.2010.5646323","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646323","url":null,"abstract":"This paper proposes a novel method for constructing SVM ensembles for achieving improved image classification performance. The use of an SVM ensemble, instead of a single classifier, normally aims at reducing the training complexity and improving the performance. SVM ensembles are constructed by combining a set of base classifiers. While the traditional combination methods primarily consider an individual classifier's performance on the training data, the proposed method also considers its generalization ability. With our proposed method, upon training a set of base classifiers, we estimate an optimal weight for each classifier via solving a quadratic programming problem. Then the weights can be used to combine the base classifiers to form an SVM ensemble. To reduce the classification complexity, we propose an intelligent method for filtering out the weak classifiers to obtain a small subset of the relatively strong classifiers for a simplified SVM ensemble. Experiment results show that our proposed approach outperforms other published methods. When compared to the traditional SVM ensemble method which combines all the base classifiers, the proposed method can develop simplified SVM ensembles which may achieve even better accuracy.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128956064","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646239
Maoyuan Zhang, Ming Liu
The technology of concept extending has been researched to deal with the vocabulary mismatch problem for the text retrieval systems. It can not be avoided that the concept extending leads to more time cost of the retrieval systems. To aim at solving the problem, this paper puts forward a novel retrieval system, which is based on a dual-level index model. The dual-level index model introduces the index mechanism into the concept extending, to allow quick extending. Moreover, the model combines the memory buffering mechanism with the index of concept extending, to speed up the extending process. In order to apply the dual-level index model, a retrieval method is given for the retrieval system. The experimental results show that the method achieves a better runtime performance.
{"title":"The dual-level index model of text retrieval system based on concept","authors":"Maoyuan Zhang, Ming Liu","doi":"10.1109/KAM.2010.5646239","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646239","url":null,"abstract":"The technology of concept extending has been researched to deal with the vocabulary mismatch problem for the text retrieval systems. It can not be avoided that the concept extending leads to more time cost of the retrieval systems. To aim at solving the problem, this paper puts forward a novel retrieval system, which is based on a dual-level index model. The dual-level index model introduces the index mechanism into the concept extending, to allow quick extending. Moreover, the model combines the memory buffering mechanism with the index of concept extending, to speed up the extending process. In order to apply the dual-level index model, a retrieval method is given for the retrieval system. The experimental results show that the method achieves a better runtime performance.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125348777","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646286
Shujun Cui, Mei Ding
The scrap is an important resource for sustainable development of steel industry, particularly it is a basic raw material for EAF. The steel companies and Recycling Department have a major problem that how to use scrap to speed up the expansion of steel industry and reduce the cost of production for the enterprise. In this paper, it used curve fitting method to predict the trend of steel scrap index, combined with our stage of development of steel industry, and then research the adaptation between scrap iron and steel industry.
{"title":"Based on scrap index to research the adaptation of scrap iron resource to the steel industry","authors":"Shujun Cui, Mei Ding","doi":"10.1109/KAM.2010.5646286","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646286","url":null,"abstract":"The scrap is an important resource for sustainable development of steel industry, particularly it is a basic raw material for EAF. The steel companies and Recycling Department have a major problem that how to use scrap to speed up the expansion of steel industry and reduce the cost of production for the enterprise. In this paper, it used curve fitting method to predict the trend of steel scrap index, combined with our stage of development of steel industry, and then research the adaptation between scrap iron and steel industry.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128751708","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646248
Hong-qing Gao, Yan-jie Zhai
Nowdays, more and more users choose to use mobile phones for Mobile Learning, but the existing issues of bad computing ability,small storage space in mobile phones hinder the future promotion of Mobile Learning. To solve these problems, the concept of cloud computing is introduced, the model of mobile learning based on hadoop is proposedand its functional modules is analysed. Finally, the workflow of the model is introduced in detail.
{"title":"System design of cloud computing based on Mobile Learning","authors":"Hong-qing Gao, Yan-jie Zhai","doi":"10.1109/KAM.2010.5646248","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646248","url":null,"abstract":"Nowdays, more and more users choose to use mobile phones for Mobile Learning, but the existing issues of bad computing ability,small storage space in mobile phones hinder the future promotion of Mobile Learning. To solve these problems, the concept of cloud computing is introduced, the model of mobile learning based on hadoop is proposedand its functional modules is analysed. Finally, the workflow of the model is introduced in detail.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"32 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130292096","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646316
Lei Zhang
Based on the statistics during the period from 2000 to 2008 released by National Bureau of Statistics of China, this paper applied the grey relational analysis to analyze the relationship between technology input including scientists and technicians and expenditure for R&D and economic growth. After detailed research, some results have been concluded for China, the first of which is the relationship between technology input and economic growth during the period from 2000 to 2008 is very close, and the technology input is main causation that brings about economic growth, the second of which is that in order to promote the economic growth, we have to pay fully attention to not only the total amount of scientists and technicians, but the expenditure for R&D.
{"title":"Technology input and economic growth: Evidence from China","authors":"Lei Zhang","doi":"10.1109/KAM.2010.5646316","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646316","url":null,"abstract":"Based on the statistics during the period from 2000 to 2008 released by National Bureau of Statistics of China, this paper applied the grey relational analysis to analyze the relationship between technology input including scientists and technicians and expenditure for R&D and economic growth. After detailed research, some results have been concluded for China, the first of which is the relationship between technology input and economic growth during the period from 2000 to 2008 is very close, and the technology input is main causation that brings about economic growth, the second of which is that in order to promote the economic growth, we have to pay fully attention to not only the total amount of scientists and technicians, but the expenditure for R&D.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122410265","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646205
Qing Tian, Lili Zeng
Aimed at best view problem, an algorithm of best view position is represented. Direction table and mark graph of shaded points are set up, based on analysis of the triangle-grid depth image. According to the number of extreme values in the mark graph, the best view position can be determined. Experiment results show that this algorithm is feasible and effective.
{"title":"Best view position algorithm based on shaded area","authors":"Qing Tian, Lili Zeng","doi":"10.1109/KAM.2010.5646205","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646205","url":null,"abstract":"Aimed at best view problem, an algorithm of best view position is represented. Direction table and mark graph of shaded points are set up, based on analysis of the triangle-grid depth image. According to the number of extreme values in the mark graph, the best view position can be determined. Experiment results show that this algorithm is feasible and effective.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"646 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116419044","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646305
S. Ye, Yang Dezhi
This article takes 31 county level cities in Shandong Province as sample, carrying on empirical analysis about the relationship between county urbanization and economic growth through backward regression method. The result indicates the most important factor which promotes county economy growth is the development of secondary industry; the population urbanization factor has not entered regression equation, which indicates it is not significant to county economy growth; the coefficient of built-up district area factor is negative, which shows county urbanization in Shandong province exists blind city area expansion and extensive growth. The result also indicates that county population urbanization is mainly driven by industrialization and resource consumption, while economy growth rate and built-up district area make less contribution to population urbanization.
{"title":"Analysis about the relationship between county urbanization and economy growth in Shandong Province","authors":"S. Ye, Yang Dezhi","doi":"10.1109/KAM.2010.5646305","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646305","url":null,"abstract":"This article takes 31 county level cities in Shandong Province as sample, carrying on empirical analysis about the relationship between county urbanization and economic growth through backward regression method. The result indicates the most important factor which promotes county economy growth is the development of secondary industry; the population urbanization factor has not entered regression equation, which indicates it is not significant to county economy growth; the coefficient of built-up district area factor is negative, which shows county urbanization in Shandong province exists blind city area expansion and extensive growth. The result also indicates that county population urbanization is mainly driven by industrialization and resource consumption, while economy growth rate and built-up district area make less contribution to population urbanization.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126515897","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 : 2010-11-29DOI: 10.1109/KAM.2010.5646153
Yu Yan-hua, Song Li-xia
The proposes of this paper are to investigate the properties and methods of fuzzy time series. It starts off with introducing the fuzzy time series analysis proposed by Q. Song and B.S. Chissom. Then, the theory structure, calculation, forecasting procedure and application of fuzzy time series are characterized from a comparison between traditional time series and fuzzy time series.
{"title":"On fuzzy time series method","authors":"Yu Yan-hua, Song Li-xia","doi":"10.1109/KAM.2010.5646153","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646153","url":null,"abstract":"The proposes of this paper are to investigate the properties and methods of fuzzy time series. It starts off with introducing the fuzzy time series analysis proposed by Q. Song and B.S. Chissom. Then, the theory structure, calculation, forecasting procedure and application of fuzzy time series are characterized from a comparison between traditional time series and fuzzy time series.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133433736","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：