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2014 IEEE International Conference on System Science and Engineering (ICSSE)最新文献

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A research on video files scheduling service based on cloud storage 基于云存储的视频文件调度服务研究
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887929
Yaqi Zhang, Jianlong Sui, Zhen Liu, Dejun Chen
{"title":"A research on video files scheduling service based on cloud storage","authors":"Yaqi Zhang, Jianlong Sui, Zhen Liu, Dejun Chen","doi":"10.1109/ICSSE.2014.6887929","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887929","url":null,"abstract":"With the development of streaming media technology, media scheduling in recent years has been a hot research topic, special algorithms implemented by software have solved the problem of bandwidth bottlenecks in backbone network which located in the central server of Video-On-Demand (VOD) system, it increased the efficiency of the entire system. Cloud storage technology is extensively applied, how to build VOD service on it has become a research hotspot. On the basis of Content Delivery Network (CDN), a new strategy of video files scheduling based on CDN for cloud storage is given, the strategy adopted the core idea of CDN and think about the real topological structure of enterprise network and the particularity of streaming media applications, under condition of limited bandwidth, it reduces the overall delay of service and improves the service quality, then provides a better user experience in media applications.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132517241","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}
引用次数: 0
A hybrid differential evolution algorithm with invasive weed optimization and its application to modeling of carbon content 带有入侵杂草优化的混合差分进化算法及其在碳含量建模中的应用
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887909
Leitao Luo, Lingbo Zhang, Xingsheng Gu
{"title":"A hybrid differential evolution algorithm with invasive weed optimization and its application to modeling of carbon content","authors":"Leitao Luo, Lingbo Zhang, Xingsheng Gu","doi":"10.1109/ICSSE.2014.6887909","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887909","url":null,"abstract":"This paper aims to the prediction of carbon content in spent catalyst in a continuous catalytic reforming (CCR) plant based on least squares vector machines (LSSVM). When modeling by LSSVM, the problem of optimizing the hyper-parameters draws many researchers' attention. In this paper, a novel hybrid algorithm named IWODE is proposed to deal with it. The algorithm embeds invasive weed optimization (IWO) as a local refinement procedure into differential evolution with adaptive crossover rate. New competitive exclusion and adaptive step length of spatial dispersal based on individuals' distance are introduced to make IWO more suitable as a local search algorithm. Simulation results and comparisons based on some well-known benchmarks indicate the efficiency of IWODE. And the predicted results of carbon content using the proposed method agree with the actual values well. The method is compared with five other techniques, including LSSVM optimized by DE, IWO, other two modified versions of DE and back propagation neural network (BPNN). The obtained results demonstrate that the proposed IWODE-LSSVM is superior to others in generalization performance and prediction ability.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116875389","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}
引用次数: 1
Construction of a large-scale Sino-Vietnamese bilingual parallel corpus 大型中越双语平行语料库的构建
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887924
Lin Luo, Jianyi Guo, Zheng-tao Yu, Yuanyuan Mo, Lanjiang Zhou
{"title":"Construction of a large-scale Sino-Vietnamese bilingual parallel corpus","authors":"Lin Luo, Jianyi Guo, Zheng-tao Yu, Yuanyuan Mo, Lanjiang Zhou","doi":"10.1109/ICSSE.2014.6887924","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887924","url":null,"abstract":"Bilingual parallel corpus forms an important foundation for language resources and plays an increasingly important role in the study of language and machine translation research. By studying the language features of Chinese bilingual text, this paper introduces the construction of a large-scale Sino Vietnamese bilingual parallel corpus process in detail, including collection, sorting, storage of Chinese and Vietnamese language, and on the basis of the annotation, processing, processing more Chinese bilingual corpus, so as to realize the construction of Chinese and Vietnamese bilingual parallel corpus. Developing this work deeply will promote the research and application of technology development of the relevant theories.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831161","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}
引用次数: 2
Fault diagnosis in power plant based on multi-neural network 基于多神经网络的电厂故障诊断
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887930
Xia Fei, Zhang Hao, Peng Daogang
{"title":"Fault diagnosis in power plant based on multi-neural network","authors":"Xia Fei, Zhang Hao, Peng Daogang","doi":"10.1109/ICSSE.2014.6887930","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887930","url":null,"abstract":"Due to the complexity of the power plant production environment, it brings some difficulties to troubleshooting of turbine generator. Although the approach based on neural network has been widely used in fault diagnosis of equipment, the result of fault diagnosis, which is given by the single neural network, is often not ready to determine the fault type for turbine generator. In response to this situation, a fault diagnosis method based on multi-neural network is proposed on this paper. It means that the different neural network is to be used respectively for fault diagnosis of turbine vibration firstly. Then the results of these initial diagnoses are to be integrated with information fusion technology. Through this strategy, the reliable result of fault diagnosis is obtained and the disadvantage of inaccurate diagnosis based on a single neural network is overcome.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129663643","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}
引用次数: 5
Intelligent Data Analysis and its challenges in big data environment 大数据环境下的智能数据分析及其挑战
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887915
Weichang Kong, Qidi Wu, Li Li, F. Qiao
{"title":"Intelligent Data Analysis and its challenges in big data environment","authors":"Weichang Kong, Qidi Wu, Li Li, F. Qiao","doi":"10.1109/ICSSE.2014.6887915","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887915","url":null,"abstract":"Intelligent Data Analysis (IDA) is one of the most important approaches in the field of data mining, which attracts great concerns from the researchers. Based on the basic principles of IDA and the features of datasets that IDA handles, the development of IDA is briefly summarized from three aspects, i.e., algorithm principle, the scale and type of the dataset. Moreover, the challenges facing the IDA in big data environment are analyzed from four views, including big data management, data collection, data analysis, and application pattern. It is also cleared that in order to extract more values from data, the further development of IDA should combine practical applications and theoretical researches together.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128515544","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}
引用次数: 10
The research of dynamic statistics chart based on MVC design pattern 基于MVC设计模式的动态统计图表的研究
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887904
H Zhao, Hao Zhang, Qijun Chen
{"title":"The research of dynamic statistics chart based on MVC design pattern","authors":"H Zhao, Hao Zhang, Qijun Chen","doi":"10.1109/ICSSE.2014.6887904","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887904","url":null,"abstract":"With the high-speed development of the network, the web platform has been wildly applied to various kinds of industries. The paper analyses MVC pattern framework, which can truly achieve a complete separation of the view, controller and model, implement the separation of business logic and presentation layer, and improve the development efficiency and software reusability. The research is designed to achieve real-time data easy entry and fast query based on the visual studio 2012 development platform with SQL server 2008 R2 database in the paper. The paper uses these tools to describe the analysis of the data plotted by flot curve. Finally, it is proven to be helpful with the MVC pattern to implement the dynamic statistics chart with the capacity of refreshing in real-time.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124554759","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}
引用次数: 2
Study of the software size estimation model based on UML 基于UML的软件规模估算模型的研究
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887921
Li Liu, Aolei Yang, Qiang Tao, Lingling Zhu, D. Wu
{"title":"Study of the software size estimation model based on UML","authors":"Li Liu, Aolei Yang, Qiang Tao, Lingling Zhu, D. Wu","doi":"10.1109/ICSSE.2014.6887921","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887921","url":null,"abstract":"This paper takes the excellent Function Point Analysis (PFA) method as the prototype. The development circumstance combines with Object-Oriented (OO) method. In the experiment of the implement section, the Unified Modeling Language (UML), which can integrate with class diagram and FPA, is chosen as a method. As a result, the proposed method for the effect of estimating function points (FP) has been improved through the verifying. Furthermore, the automatic estimation model, which is constructed from UML class diagram to FP, is put forward in this paper. The obtained results support the conclusion that automatic estimation of FP is designed and implemented, and a kind of Web Service is developed based on UML.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600033","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}
引用次数: 2
Prediction of building energy consumption based on PSO - RBF neural network 基于PSO - RBF神经网络的建筑能耗预测
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887905
Ying Zhang, Qijun Chen
{"title":"Prediction of building energy consumption based on PSO - RBF neural network","authors":"Ying Zhang, Qijun Chen","doi":"10.1109/ICSSE.2014.6887905","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887905","url":null,"abstract":"At present, building energy conservation is a hot topic in urban construction and energy conservation research. Predicting the trend of energy consumption is very meaningful for a whole building energy management. Compared with the other feed-forward neural networks, RBF network learning faster and the ability of function approximation is stronger, but its performance still need to be improved. We use particle swarm optimization algorithm (PSO) to optimize RBF neural network and use the optimized RBF neural network to predict energy consumption in this article. Used the statistical data of the whole society's monthly electricity consumption published online as a sample, and simulated the forecasting method by MATLAB.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127118255","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}
引用次数: 19
A study of resource constraint project scheduling problem for energy saving 面向节能的资源约束项目调度问题研究
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887897
T. Miyamoto, K. Mori, S. Kitamura, Y. Izui
{"title":"A study of resource constraint project scheduling problem for energy saving","authors":"T. Miyamoto, K. Mori, S. Kitamura, Y. Izui","doi":"10.1109/ICSSE.2014.6887897","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887897","url":null,"abstract":"In terms of energy consumption, the environment surrounding the manufacturing industries has become considerably strict. As a framework containing many production scheduling problems in manufacturing industries, a great deal of researches on the resource-constrained project scheduling problem (RCPSP) has been performed. We have proposed a RCPSP formulation called RCPSP/πRC, which can deal with realistic energy constraints such as power restriction during peak hours, contract demand, and energy consumption during the setup operations. In this paper, we evaluate RCPSP/πRC through computational experiments. The proposed method is compared with two heuristic rules. Results of computational experiments show the effectiveness of the proposed method.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131072447","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}
引用次数: 3
The intent inference in target tracking based on the target track 基于目标轨迹的目标跟踪意图推理
2014 IEEE International Conference on System Science and Engineering (ICSSE) Pub Date : 2014-07-11 DOI: 10.1109/ICSSE.2014.6887896
Huan He, Chongzhao Han
{"title":"The intent inference in target tracking based on the target track","authors":"Huan He, Chongzhao Han","doi":"10.1109/ICSSE.2014.6887896","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887896","url":null,"abstract":"The detection of anomalous trajectory patterns in target tracking is considered here to infer the target's intent which is assumed to be related to the shape of the target's trajectory. The context-free grammar is used to model the trajectory of the target and obtain the mode sequence via the quantification to the state estimate. The modified Earley algorithm is proposed to parse the mode sequence in real time and infer the intent of a target under conditions on the target identification. Numerical simulation examples show the validation of the grammar to model the rectangle trajectory with three turns at any moments.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124106260","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}
引用次数: 0
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