{"title":"Research of Industrial Wireless Network WIA-PA Multi-path Routing Protocol WMDSR","authors":"Lei Meng, Xiaojie Du","doi":"10.1109/ISCCS.2011.22","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.22","url":null,"abstract":"WIA-PA network is an emerging industrial wireless networks for process automation, the important characteristic of which are high reliability, stability, real-time. According to those characteristics, this paper proposed anew type of routing protocol WIA-PA network Multi-path dynamic routing protocols(WMDSR) by improving the DSR routing protocol. Improving the reliability and real-time of WIA-PA network, and reduce the routing overhead and average packet delay. Simulation results show that, WMDSR protocol well applications WIA-PA industrial wireless networks and significantly reduces the packet overhead and delay.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133987472","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":"Event-Driven Debug Framework for EDEVS Based Components","authors":"Liu Gang, Yao Yiping","doi":"10.1109/ISCCS.2011.114","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.114","url":null,"abstract":"Debugging EDEVS based components using existing debug frameworks is very time-consuming for the following reasons: Firstly, EDEVS based components are self-contained and are independent of simulation applications, so test case must be designed and implemented beforehand. Secondly, Usually EDEVS based components are hierarchically composed of many subcomponents, so examine the data flow among all these subcomponents is a big job. Thirdly, EDEVS components are designed to run inside a component container built upon Event-scheduling based simulation engine, so debug processes usually lost to the inner logic of the engine. To solve these problems an event-driven EDEVS component debug framework is proposed and its implementation under YHSUPE is presented.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132946608","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 High-Pass Filtering Fusion Based on GPU","authors":"Jun Lu, Baoming Zhang, Hong He, Hongwei Zhang","doi":"10.1109/ISCCS.2011.41","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.41","url":null,"abstract":"Along with the development of the modern remote sensing technology, the acquired remote sensing image data gets more and more abundant, so the primary obstruction of the application of the remote sensing technology in the future is no longer the shortage of the image resource, but the capacity that how we can get more abundant, more useful and more credible information from the image resource. Multi-sensors remote sensing image fusion is an important apart of the information acquisition of the ground observation and also an important approach to resolve the problem of the mass remote sensing image data. The processing speed becomes a key point of an algorithm if can be in general use. In this paper we designed a high-pass filtering fusion algorithm of remote sensing image data in GPU (Graphics Processing Unit) using the programmability of GPU, which is a parallel vector processor. The result shows that the algorithm runs on a GPU is much faster than the CPU-based algorithm in the case of large data. And with the volumes of fusion images data getting bigger the advantage of the velocity on GPU is more obvious then on CPU.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133483767","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 Integrated Intelligent University Information System","authors":"V. Cabukovski","doi":"10.1109/ISCCS.2011.105","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.105","url":null,"abstract":"Advanced networking services, such as Intranet/Internet services can provide a basis for integration of knowledge and information on university level. At our university we have built an Integrated Intelligent (Agent-Based) University Information System (IABUIS). In this paper a model of an IABUIS with an embedded multi-agent infrastructure will be presented.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115354823","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}
Yunjuan Liang, Dechuan Kong, Z. Lijun, Liqiang Yin
{"title":"The Application of Association Rules Algorithm in the Optimization of Information Processing in Intelligent Question-Answering System","authors":"Yunjuan Liang, Dechuan Kong, Z. Lijun, Liqiang Yin","doi":"10.1109/ISCCS.2011.86","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.86","url":null,"abstract":"This paper applied association rule mining method in the intelligent question-answering system, dug out the potential rules which user uses to sort the results in the process of browsing the results, and then generated the rule base and optimized the processing of information. Present the steps of mining association rules. Through pre-mining resources and analysis of mining association rules, focus on the improvement of associated Boolean Apriori algorithm and application in the transaction database. Finally, get the algorithm for the strong association rules extracted from the frequent itemsets.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115584801","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":"Event-Related Potential Evidence of Similarities and Differences between Prospective Memory and Vigilance","authors":"Ya Wang, R. Chan, J. Cui, D. Shum","doi":"10.1109/ISCCS.2011.90","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.90","url":null,"abstract":"There are several similarities between prospective memory (PM) and vigilance, the present study aimed to examine the relationship between PM and vigilance using event-related potentials (ERP). Behavioral results indicated that PM showed longer reaction time and less accuracy than vigilance. The ERP data revealed that PM and vigilance did not show significant difference during 200-400ms in occipital region, i.e., the cue detection process, vigilance evoked more parietal positivity (related to categorization and monitoring process) than PM, but it may be related to the difference of ongoing task and non-target trials, PM evoked more negative slow wave in frontal region, suggesting post-retrieval evaluations of PM.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123688459","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 3D Digital Technology of Fashion Design","authors":"Lingrui Dai","doi":"10.1109/ISCCS.2011.56","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.56","url":null,"abstract":"With the development of China computer technology and social economy, the requirement to the quality, the fitness and individuation is higher and higher, and the present two-dimensional garment CAD technology has not fulfilled the requirement of CAD application in the garment industry, so the garment CAD urgently needs to be developed from the present panel design to the 3D design. Therefore, in recent years, many theoretical researches and practical applications of 3D body measurement, 3D garment assistant design and dummy garment design occur in domestic and foreign markets.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129425432","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":"Modeling and Simulation for NC Cutting System Based on Fuzzy-PID Control","authors":"S. Xiao, Xiaoqian Zhong, Dezhu Ye, Mengmeng Song","doi":"10.1109/ISCCS.2011.19","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.19","url":null,"abstract":"Traditional PID control algorithm has made an extraordinary contribution for excellent mach inability of NC machine. Along with the increasing of the machining precision and rising of exterior disturbance, traditional PID control algorithm could not meet the needs of requirement for mach inability because of its fixed-parameter. A mathematical model of cutting system was established, and the simulation experiment and analysis of cutting system were accomplished. The simulation result shows, compared with PID algorithm, Fuzzy PID algorithm applied to NC machine cutting control system reaches better dynamic property, anti-interference property and robust property.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128580446","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 Design of Intelligent Household System Based on Wireless Communications","authors":"Han Ming, Miao Changyun","doi":"10.1109/ISCCS.2011.64","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.64","url":null,"abstract":"With the rapid development of modern technology and the improvement of people's living standards, the idea of intelligent household system has been put forward and widely used home and abroad, and thus the wireless network technology is applied to intelligent household network. This article aims to describe intelligent household system based on wireless communications, propose its overall design scheme and discuss its relevant techniques.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"103 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127459764","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":"Time Series Prediction of Mining Subsidence Based on Genetic Algorithm Neural Network","authors":"Peixian Li, Z. Tan, Lili Yan, K. Deng","doi":"10.1109/ISCCS.2011.30","DOIUrl":"https://doi.org/10.1109/ISCCS.2011.30","url":null,"abstract":"In order to find out the dynamics law of underground coal mining subsidence, BP neural network was used for time series prediction. First, genetic algorithm was used to optimize the initial network weight to overcome the inherent defects of BP neural network, then train the initial BP neural network with samples and a time series prediction model was established. A railway bridge observing station in a mining area of HeBei was shown as example to describe the method for time series prediction using genetic algorithm BP neural network (GA-BP). The maximum absolute error of forecast value is 14% and the maximum relative error is 15mm, results show that the forecast results fit for the measured values perfectly. The initial network weight can be selected effectively to use BP neural network for mining subsidence time series prediction and avoid the network falling into local minimum, and the network forecasting performance can be improved effectively. The research provides a new method for dynamic mining subsidence prediction.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130632659","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}