{"title":"The Design of a Distance Learning and Teaching System Based on Internet","authors":"Du Jiangyi, Niu Yan","doi":"10.1109/CASE.2009.93","DOIUrl":"https://doi.org/10.1109/CASE.2009.93","url":null,"abstract":"This paper introduced the design and achievement of a distance learning and teaching system which based on internet. With the development and popularity of the internet, modern distance education emerged as the times require. Because of its opening, interactivity, practicability and instantaneity, the distance education system become one of the most important parts of modern education.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114782800","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}
{"title":"Object Tracking Based on Active Contour Model by Neural Fuzzy Network","authors":"Tianding Chen","doi":"10.1109/CASE.2009.165","DOIUrl":"https://doi.org/10.1109/CASE.2009.165","url":null,"abstract":"The computer image object tracking technologies are often applied to various kinds of research fields. It proposes real-time tracking object recognition by contour-based neural fuzzy network. It employs the active contour models and neural fuzzy network method to trace moving objects of the same kind and to record its paths simultaneously. To extract object’s feature vector, it uses contour-based model. The traditional background subtraction and object segmentation algorithms are modified to reduce operation complexity and achieve real-time performance. Finally, it uses the self-constructing neural fuzzy inference network to train and recognize moving objects. The experiment shows it can recognize four moving objects, including a pedestrian etc., exactly. The experiment result shows the precision of this system is more than 90% under objects tracking, and the frame rate is more than 25 frames per second.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829338","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}
{"title":"Comprehensive Gene Ontology Mapping Strategies for Improved Biological Inference","authors":"Qing Xu, Li Yang, Jiang Li","doi":"10.1109/CASE.2009.103","DOIUrl":"https://doi.org/10.1109/CASE.2009.103","url":null,"abstract":"Lack of sufficient semantic relationships between pairs of terms coming from the three independent Gene Ontology sub-ontologies, that limit the power to provide complex semantic queries and inference services based on it. By integrating non-lexical and lexical learning strategies into GLUE system, we semi-automatically generate six types of one-to-one mapping paths covered almost half of all GO terms. We believe that the comprehensive ontology mapping strategies might be an effective way to bridge the gap between non-lexical and lexical approaches, as well as improve accuracy and coverage.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124323911","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}
{"title":"A Novel Learning Algorithm of Back-Propagation Neural Network","authors":"B. Gong","doi":"10.1109/CASE.2009.146","DOIUrl":"https://doi.org/10.1109/CASE.2009.146","url":null,"abstract":"Standard neural network based on back-propagation learning algorithm has some faults, such as low learning rate, instability, and long learning time. In this paper, we introduce trust-field method and bring forward a new learning factor, meanwhile we adopt Quasic-Newton algorithm to replace gradient descent algorithm. Three algorithms are utilized in the novel back-propagation neural network. Thus the neural network avoids the local minimum problem, improves the stability and reduces the training time and test time of learning and testing. Two concrete examples show the feasibility and validity of the new neural network.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122998587","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}
{"title":"The Optimal Application of the Algorithms of Detection and Data Mining in Honeynet","authors":"Nanping Dong, Guanling Zhou, Yuping Wang","doi":"10.1109/CASE.2009.65","DOIUrl":"https://doi.org/10.1109/CASE.2009.65","url":null,"abstract":"This paper puts forward a technical scheme which properly arranges IDS and optimally applies the algorithms of detection and data mining to the Honeynet environment based on a project of building automation system completed by the author recently. In this specific environment, the position of IDS is deployed reasonably and the anomaly and misuse detection algorithm of IDS is designed and selected optimally. Meanwhile, the misuse detection rules are updated dynamically with the combination of data-mining algorithm RIPPER. The design makes the classical and mature algorithms of anomaly detection, misuse detection and RIPPER data mining display their technical characteristics and advantages to the largest extent in the project and enable the honeynet to protect the internal control network as expected.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122669192","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}
{"title":"Research on Microwave Measurement for Grain Moisture Content in Granary","authors":"Yuying Jiang, Y. Zhang","doi":"10.1109/CASE.2009.44","DOIUrl":"https://doi.org/10.1109/CASE.2009.44","url":null,"abstract":"A new method of grain moisture content measurement in granary is developed; it is based on the measuring principle and characteristics of microwave moisture content determination techniques. According to the relationship between the power attenuation, signal parameter variation and moisture content of grain when the microwave penetrates the grain, a model of grain moisture content measuring was established. Experiments are made to compare with the traditional method on solving this problem. The results show that this method can measure the grain moisture content quickly and efficiently, and satisfy the requirement of grain moisture content determination in granary.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122858661","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}
{"title":"An Improved Differential Evolution Alogorithm for Optimization","authors":"Jin Huibin, Liu Mingguang","doi":"10.1109/CASE.2009.116","DOIUrl":"https://doi.org/10.1109/CASE.2009.116","url":null,"abstract":"Differential Evolution (DE) is an efficient approach capable of handling non-differentiable, non-linear and multi-model objective functions. However, in convergence speed and global optimization, there is still much room for DE to be improved. In this paper, double best mutation operation and chaos Differential Evolution are proposed to improve DE algorithm’s optimized performance. The simulated cases show modified differential evolution algorithm has rapid convergence speed and strong steadiness.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129814455","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}
{"title":"An Efficient MA-Based Materialized Views Selection Algorithm","authors":"Qingzhou Zhang, Xia Sun, Ziqiang Wang","doi":"10.1109/CASE.2009.111","DOIUrl":"https://doi.org/10.1109/CASE.2009.111","url":null,"abstract":"Materialized view selection is one of the most crucial techniques to design data warehouse in an optimal manner. To efficiently deal with materialized view selection problem, an efficient materialized view selection algorithm based on memtic algorithm(MA) is presented in this paper. Experimental results show that the proposed algorithm achieves much better performance than other related algorithms.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130077602","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}
{"title":"The Using of Knowledge Visualization Tools in E-science Environment Take Concept Maps for Example","authors":"Xiao-yue Wang, Yan Mu","doi":"10.1109/CASE.2009.130","DOIUrl":"https://doi.org/10.1109/CASE.2009.130","url":null,"abstract":"In e-Science environment, people pay more attention to the scientific visualization and data visualization. Visualization about information exchange and knowledge sharing is rare to be mentioned. Knowledge sharing is an important part in e-Science environment. The knowledge visualization tools can facilitate thinking together and the collective wisdom, it also can promote the knowledge sharing and the creation of the new knowledge. If the concept maps, a visualization tool, are used to help members in e-Science environment to describe their structure of knowledge in communication, it can promote the knowledge discovery in a clearer way. In this paper, we discuss the application of concept maps and we promote an application model in e-Science environment.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343093","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}
{"title":"Research on Particle Swarm Optimization for Grain Logistics Vehicle Routing Problem","authors":"Qifeng Zhang","doi":"10.1109/CASE.2009.41","DOIUrl":"https://doi.org/10.1109/CASE.2009.41","url":null,"abstract":"Based on traditional vehicle routing problem, grain logistics vehicle routing problem with time windows and the characteristics of grain logistics are fully considered in this paper. A model for grain logistics VRPTM was established, where the aim is to complete the maximum tasks with minimum cost. A PSO algorithm is proposed to solve the grain logistics VRPTW, the comparative experiments were made between PSO and basic GA algorithm, and experimental results manifest that the proposed method is effective and can find optimal solution quickly.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128759932","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}