Pub Date : 2009-09-15DOI: 10.1109/ITIME.2009.5236348
Xueqiang Ma, Hong Liu
In mobile agent environment, an agent is not isolate in finishing computing tasks. It often needs to interact information with other agents and the environment. It has been proved that the tuple-based interaction model is the most suitable model for mobile agent system. In this paper, the Linda-like Tuple Space is firstly extended to an Intelligent Tuple Space (ITS) which has abilities of not only reaction but also reasoning and learning. Then the ITS is used as a media to support interactions between mobile agents and interactions between mobile agents and system resources. Actually, the ITS is loose coupled to mobile agent environment, it can also be used to solve security, efficiency and flexibility problems in any heterogeneous environments including mobile agent system.
{"title":"An Intelligent Tuple Space for agent interaction in mobile agent system","authors":"Xueqiang Ma, Hong Liu","doi":"10.1109/ITIME.2009.5236348","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236348","url":null,"abstract":"In mobile agent environment, an agent is not isolate in finishing computing tasks. It often needs to interact information with other agents and the environment. It has been proved that the tuple-based interaction model is the most suitable model for mobile agent system. In this paper, the Linda-like Tuple Space is firstly extended to an Intelligent Tuple Space (ITS) which has abilities of not only reaction but also reasoning and learning. Then the ITS is used as a media to support interactions between mobile agents and interactions between mobile agents and system resources. Actually, the ITS is loose coupled to mobile agent environment, it can also be used to solve security, efficiency and flexibility problems in any heterogeneous environments including mobile agent system.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124137113","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236416
Chao-dong Lu, Fan Zhang
Traditional method of storing and querying XML documents is in single processor environment. The system performance deteriorates when the size of XML data sets increased. Parallel processing technology based on multi-processor is proposed in this paper. The key issues such as XML data model, storage model, data placement strategy, paralleling query, indexing etc. are also discussed.
{"title":"Querying XML documents by an innovative way","authors":"Chao-dong Lu, Fan Zhang","doi":"10.1109/ITIME.2009.5236416","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236416","url":null,"abstract":"Traditional method of storing and querying XML documents is in single processor environment. The system performance deteriorates when the size of XML data sets increased. Parallel processing technology based on multi-processor is proposed in this paper. The key issues such as XML data model, storage model, data placement strategy, paralleling query, indexing etc. are also discussed.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126265059","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236437
Shenglong Xing, Xueqing Li, X. Pan
To analyze the education of a school, the first thing is to analyze the whole teacher team of that school. How to measure the quality of the team and the personal qualities of team members, to understand the development trend of the whole team and the potential ability becomes very necessary. A well established data analysis system for teachers can provide both macro-data and micro-data analysis for the decision-makers of schools. It is also an important way for improving the quality of teacher team and the ability of macro decision-making. In this paper, based on a large num of research and practice, we proposed a more comprehensive, objective, accurate and reasonable data analysis system for teachers, which can not only promote teachers' progress, but also help school to know about the whole team of teachers, to get academic development trends of school, to analyze the trends of teaching quality and to generate annual reports.
{"title":"Design and research of the data analysis system for university teachers","authors":"Shenglong Xing, Xueqing Li, X. Pan","doi":"10.1109/ITIME.2009.5236437","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236437","url":null,"abstract":"To analyze the education of a school, the first thing is to analyze the whole teacher team of that school. How to measure the quality of the team and the personal qualities of team members, to understand the development trend of the whole team and the potential ability becomes very necessary. A well established data analysis system for teachers can provide both macro-data and micro-data analysis for the decision-makers of schools. It is also an important way for improving the quality of teacher team and the ability of macro decision-making. In this paper, based on a large num of research and practice, we proposed a more comprehensive, objective, accurate and reasonable data analysis system for teachers, which can not only promote teachers' progress, but also help school to know about the whole team of teachers, to get academic development trends of school, to analyze the trends of teaching quality and to generate annual reports.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132382275","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236292
Zhao-cheng Liu, Xi-yu Liu, Zi-ran Zheng, Gongxi Wang
The historical scales of higher education of a given area can be viewed as a time series which is charactered by uncertainty, nonlinearity and time-varying behavior. Predictions for the number of enrolled students in colleges of Shandong province of China and its modified data were carried out respectively by means of General Regression Neural Network (GRNN) forecasters. The detailed designs for architectures of GRNN models, transfer functions of the hidden layer nodes, input vectors and output vectors were made with many tests. Experimental results show that the performance of GRNN for forecasting the scales of the near future scales of higher education is acceptable and effective.
{"title":"General Regression Neural Networks in forecasting the scales of higher education","authors":"Zhao-cheng Liu, Xi-yu Liu, Zi-ran Zheng, Gongxi Wang","doi":"10.1109/ITIME.2009.5236292","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236292","url":null,"abstract":"The historical scales of higher education of a given area can be viewed as a time series which is charactered by uncertainty, nonlinearity and time-varying behavior. Predictions for the number of enrolled students in colleges of Shandong province of China and its modified data were carried out respectively by means of General Regression Neural Network (GRNN) forecasters. The detailed designs for architectures of GRNN models, transfer functions of the hidden layer nodes, input vectors and output vectors were made with many tests. Experimental results show that the performance of GRNN for forecasting the scales of the near future scales of higher education is acceptable and effective.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134391366","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236356
Haitao Pu, Jinjiao Lin, Yanwei Song, Fasheng Liu
Mobile learning is transforming the way of tradition education. But most of e-learning system and contents are not suitable for mobile device. In order to provide suitable mobile learning services, the approach for self-adaptation is proposed in this paper. Firstly, the formal definitions of context and its influence on learning service, including NCxt, side S, weighing Q and adaptation coefficient E, are presented. Then, using the approach, the mobile learning system is constructed. The example implies this approach can detect the contextual environment of mobile computing and adapt the mobile learning service to the mobile learners' device automatically.
{"title":"The approach of device independence for mobile learning system","authors":"Haitao Pu, Jinjiao Lin, Yanwei Song, Fasheng Liu","doi":"10.1109/ITIME.2009.5236356","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236356","url":null,"abstract":"Mobile learning is transforming the way of tradition education. But most of e-learning system and contents are not suitable for mobile device. In order to provide suitable mobile learning services, the approach for self-adaptation is proposed in this paper. Firstly, the formal definitions of context and its influence on learning service, including NCxt, side S, weighing Q and adaptation coefficient E, are presented. Then, using the approach, the mobile learning system is constructed. The example implies this approach can detect the contextual environment of mobile computing and adapt the mobile learning service to the mobile learners' device automatically.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132979501","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236441
Yunshan Cao, Q. Zhou, Z. Min, Xiao-huan Wang, P. Xie, Jingzhi Guo, fang-ming Guo, Li Li, Yingyu Shi
Coronary artery disease (CAD) is one of the leading causes of death and disability in the developing world. Invasive coronary angiography is considered the golden standard of diagnosis for CAD. As invasive procedures have an associated mortality (0.15%) and morbidity (1.5%), cardiologists desired to find accurate noninvasive diagnostic tests. More recently, cardiac MDCT has gained popularity for the detection and quantification of coronary artery disease. Cardiac MDCT is the fastest growing noninvasive diagnostic cardiac imaging modality in the China, with dedicated cardiovascular systems available now in most large hospital and outpatient cardiology practices. In addition to coronary angiography, MDCT is commonly utilized for 3-dimensional planning of electrophysiological and surgical procedures, such as radiofrequency ablation, redo-myocardial revascularization and aortic aneurysm and dissection repair. In our paper we will review the current and developing clinical applications in CAD of cardiac MDCT.
{"title":"Mutil-slice computed tomography in coronary artery disease","authors":"Yunshan Cao, Q. Zhou, Z. Min, Xiao-huan Wang, P. Xie, Jingzhi Guo, fang-ming Guo, Li Li, Yingyu Shi","doi":"10.1109/ITIME.2009.5236441","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236441","url":null,"abstract":"Coronary artery disease (CAD) is one of the leading causes of death and disability in the developing world. Invasive coronary angiography is considered the golden standard of diagnosis for CAD. As invasive procedures have an associated mortality (0.15%) and morbidity (1.5%), cardiologists desired to find accurate noninvasive diagnostic tests. More recently, cardiac MDCT has gained popularity for the detection and quantification of coronary artery disease. Cardiac MDCT is the fastest growing noninvasive diagnostic cardiac imaging modality in the China, with dedicated cardiovascular systems available now in most large hospital and outpatient cardiology practices. In addition to coronary angiography, MDCT is commonly utilized for 3-dimensional planning of electrophysiological and surgical procedures, such as radiofrequency ablation, redo-myocardial revascularization and aortic aneurysm and dissection repair. In our paper we will review the current and developing clinical applications in CAD of cardiac MDCT.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132604558","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236202
Mao-ling Qin, Hong Liu
A novel 3D model segmentation and retrieval method was introduced in this paper that is based on the topological information and partial geometry features of 3D mode. The proposed algorithm extracts feature for every triangular piece using flatness of a triangular, and partitions the 3D model into a set of triangular pieces with different flatness. Then, a watershed-based algorithm is developed and followed by an efficient region merging scheme to get a meaningful segmentation of the 3D model. And also a characteristics topology graph is constructed for the model in accordance with the topological relations between the blocks. To simplify the computational complexity of the similarity of two models, spanning trees of the topography graph is constructed firstly and then the similarity between the spanning trees is calculated. Experimental results show that this segmentation and retrieval algorithm is efficient and robust.
{"title":"A segmentation-based method for 3D model retrieval","authors":"Mao-ling Qin, Hong Liu","doi":"10.1109/ITIME.2009.5236202","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236202","url":null,"abstract":"A novel 3D model segmentation and retrieval method was introduced in this paper that is based on the topological information and partial geometry features of 3D mode. The proposed algorithm extracts feature for every triangular piece using flatness of a triangular, and partitions the 3D model into a set of triangular pieces with different flatness. Then, a watershed-based algorithm is developed and followed by an efficient region merging scheme to get a meaningful segmentation of the 3D model. And also a characteristics topology graph is constructed for the model in accordance with the topological relations between the blocks. To simplify the computational complexity of the similarity of two models, spanning trees of the topography graph is constructed firstly and then the similarity between the spanning trees is calculated. Experimental results show that this segmentation and retrieval algorithm is efficient and robust.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643430","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236305
Y. Qiu, Peiyu Liu, Yuzhen Yang
The feature selection is a key method of text categorization technology, this paper proposed a text feature selection method based on the improved of mutual information and genetic algorithm. Used the improved of mutual information algorithm to do the initial choose to removing redundancy and noise words at first, and then used the genetic algorithm to training the template which generate by a subset of words, so get the optimal feature subset that on behalf of the issue space, to achieve dimensionality reduction and improved classification accuracy.
{"title":"Feature selection method based on the improved of mutual information and genetic algorithm","authors":"Y. Qiu, Peiyu Liu, Yuzhen Yang","doi":"10.1109/ITIME.2009.5236305","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236305","url":null,"abstract":"The feature selection is a key method of text categorization technology, this paper proposed a text feature selection method based on the improved of mutual information and genetic algorithm. Used the improved of mutual information algorithm to do the initial choose to removing redundancy and noise words at first, and then used the genetic algorithm to training the template which generate by a subset of words, so get the optimal feature subset that on behalf of the issue space, to achieve dimensionality reduction and improved classification accuracy.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130873053","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236238
She Yu, Shao-Zi Li, Jin-xiu Chen, Feng Guo
With the full use of syndrome differentiation theory and making the best of the treatment of medicated diet, the dietetic therapy of Traditional Chinese Medicine is devoted to harmonize the Yin, Yang, Qi, blood within the human body, to improve human body's health effectively. In this paper, we proposed an improved information gain method based on information gain method and TF-IDF method to express symptoms and mine the relationship between symptoms and category of medicated diet. According to the given symptom sets, it got the most suitable and likely category of medicated diet. In this way, it could simulate the diagnosis of the dietetic therapy of Traditional Chinese Medicine. The results show that the improved information gain method is more effective than information gain method and TF-IDF method on the expression of symptoms and can improve the accuracy of classification.
{"title":"Research on dietetic therapy of TCM by computer-aided design","authors":"She Yu, Shao-Zi Li, Jin-xiu Chen, Feng Guo","doi":"10.1109/ITIME.2009.5236238","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236238","url":null,"abstract":"With the full use of syndrome differentiation theory and making the best of the treatment of medicated diet, the dietetic therapy of Traditional Chinese Medicine is devoted to harmonize the Yin, Yang, Qi, blood within the human body, to improve human body's health effectively. In this paper, we proposed an improved information gain method based on information gain method and TF-IDF method to express symptoms and mine the relationship between symptoms and category of medicated diet. According to the given symptom sets, it got the most suitable and likely category of medicated diet. In this way, it could simulate the diagnosis of the dietetic therapy of Traditional Chinese Medicine. The results show that the improved information gain method is more effective than information gain method and TF-IDF method on the expression of symptoms and can improve the accuracy of classification.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133366840","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 : 2009-09-15DOI: 10.1109/ITIME.2009.5236269
Chengzhu Lin, Shaozi Li, Songzhi Su
Bag of visual words model deriving from text categorization has recently appeared promising for object and image classification, this method always need to deal with large database. This paper proposed an efficient clustering algorithm to obtain universal codebook and adapted codebook, our combination of k-means and agglomerative clustering gives significant improvement in time efficiency while maintaining the same performance of image classification. We also use the adapted codebook to improve image classification performance, an image is presented by a set of histograms - one per class, each histogram describes whether the image is best modeled by the universal codebook or the corresponding adapted class codebook. The experiment result on Caltech-256 shows the combined universal codebook and adapted class codebook representation outperforms those approaches which use the universal codebook only.
{"title":"Image classification using adapted codebook","authors":"Chengzhu Lin, Shaozi Li, Songzhi Su","doi":"10.1109/ITIME.2009.5236269","DOIUrl":"https://doi.org/10.1109/ITIME.2009.5236269","url":null,"abstract":"Bag of visual words model deriving from text categorization has recently appeared promising for object and image classification, this method always need to deal with large database. This paper proposed an efficient clustering algorithm to obtain universal codebook and adapted codebook, our combination of k-means and agglomerative clustering gives significant improvement in time efficiency while maintaining the same performance of image classification. We also use the adapted codebook to improve image classification performance, an image is presented by a set of histograms - one per class, each histogram describes whether the image is best modeled by the universal codebook or the corresponding adapted class codebook. The experiment result on Caltech-256 shows the combined universal codebook and adapted class codebook representation outperforms those approaches which use the universal codebook only.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132574490","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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