{"title":"Semantic content repository plugin for supporting arbitrary data translation and management","authors":"Ying Jiang, Fangjie Wang, Yigang Zhou, Weijie Huang, Xinmin Chen, Xiang Yao, Debiao Luo, Junyue Wang","doi":"10.1109/ICSSE.2012.6257224","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257224","url":null,"abstract":"Tupelo is a data and metadata management system based on semantic web technologies. Data are in the form of blobs, while metadata are represented as RDF triples. But some data are translated from other blobs. For example, arbitrary data described by DFDL can be translated into XML or further into RDF. This paper presents a plugin of Tupelo for managing data translation (e.g. how to control translation operations, how to use different translators, and when to invoke translations) and corresponding semantic metadata, powered by Data Format Description Language (DFDL) and its implementation of defuddle.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127078914","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 intelligent guiding system based on Wireless Sensor Network technology","authors":"Yizhi Jiang, C. Chen","doi":"10.1109/ICSSE.2012.6257162","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257162","url":null,"abstract":"This paper proposes an architecture based on Wireless Sensor Network (WSN) technology for intelligent guiding of a transportation network. Based on this architecture, a complete case study of intelligent guiding and controlling system (IGCS) is presented. Simulation results show that the system is satisfactory.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122406748","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":"Cloud dynamic target-tracking and real-time 3D face-recognition by using bionic-vision capability","authors":"Jyue-Long Chen, Thong-Shing Hwang, Po-Wei Chang","doi":"10.1109/ICSSE.2012.6257170","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257170","url":null,"abstract":"The purpose of this paper is to accomplish the tasks of real-time tracking, face recognition and three-dimensional model reconstruction. This system is divided into two parts: client and server. In order to construct a cloud computing system, client part must use the lowest level hardware to send the captured image that is required to process in server side, for the server, that is necessary to use a superior system to process the related image and then return the result to client side. In this system, the client only needs to deal with image acquisition, image transmitting/receiving, and result monitoring. At the server side, it handles the processing of all This system integrates the processions of the facial recognition and dynamic tracking, and also the processing speed has been accelerated greatly by using fuzzy classification inference method. The simulation result has demonstrated this system rather reliable.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117321079","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 approach to rank targets using fuzzy partial orderings","authors":"Zhihong Xiu, Weisong Wang, Yanhui Wang","doi":"10.1109/ICSSE.2012.6257230","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257230","url":null,"abstract":"The ability to rank targets is at the heart of the situation assessment (SA). The defensive assessment is generally a function of several diverse criteria. Conventional approaches of rank things can't achieve satisfying performance, for these criteria include many descriptive, approximate reasoning rules and imprecise parameters. This paper systemically introduces an approach to rank targets for SA by applying fuzzy theory to partial orderings. Fuzzy relations are used to codify partial orderings for target prioritization. A typical approach to rank targets via fuzzy partial orderings is proposed, in which targets are to be ranked by three criteria: the target's fight power, the target's moving direction and the target's distance. An example presents how fuzzy partial ordering allows us to control the manner and degree to which diverse criteria interact to produce a target rank, and demonstrates the validity and advantage of the proposed approach.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123683403","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}
Juan Wang, Tong Li, Wei Luo, Xinjun Wu, Yan Qian, Zhongwen Xie
{"title":"An approach to modeling SaaS-oriented software service processes","authors":"Juan Wang, Tong Li, Wei Luo, Xinjun Wu, Yan Qian, Zhongwen Xie","doi":"10.1109/ICSSE.2012.6257252","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257252","url":null,"abstract":"As the traditional software processes play an important role in improving the quality of software products, service processes are also essential to the service quality in the SaaS model. However, the systematic study about service processes is less at present. So, according to the present situation in which the existing software process theory can't efficiently support SaaS service processes under the cloud computing environment, basing on the existing software process theory, combining with the properties of the SaaS service process, I systematically and detailed describe the software service process under the cloud computing environment. This article mainly includes the following work: Firstly, the definition and four important properties of the SaaS model are analyzed, and then the broad and narrow service processes are discussed. Secondly, based on the four properties of the SaaS model, five important properties of service processes are analyzed. Finally, based on the Petri Net, not only the important components, such as processes, activities and tasks in service processes, are formally defined, but also the five important properties of service processes are embodied. Therefore, the works of this paper lay the foundation for further analysis the properties of the service process, simulation and optimization service processes.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132536814","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 research of speaker recognition based on GMM and SVM","authors":"Huo Chun Bao, Zhang Juan","doi":"10.1109/ICSSE.2012.6257210","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257210","url":null,"abstract":"GMM and SVM models with different advantages and disadvantages were often used in speaker recognition system. The Principle and the characteristics of SVM and GMM were analyzed in paper. The method of combining the advantages of GMM and SVM as the speaker recognition model, mean parameters of GMM as SVM input, which not only can realize an accurate description of the speaker voice characteristics with fewer parameters, but also can achieve the purpose of compressed data for SVM. Experimental results shown the speaker recognition system based on GMM and SVM can effectively improve recognition rate.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130432703","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 automatic classification system of online E-learning resources","authors":"Jin-Ling Lin, Kao-Shing Hwang","doi":"10.1109/ICSSE.2012.6257169","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257169","url":null,"abstract":"This work focuses on how to development a categorizing system that can find the appropriate classification for on-line learning resources, which must follow some document standards, automatically. The proposed system can help users to share their creativities without the dilemma of following the standards of learning resources. The major works are learning resource classification and learning resource document matching. Learning resource classification module takes in charge of finding corresponding keywords of learning resources in the document database of the E-learning web site. The similarity of users' uploading resources and documents in the web site document database is done by learning resource document matching. The proposed automatic categorizing system for online learning resources can suggest the appropriate classification and learning object standard information for users' uploading resources after performing these modules.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134208664","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":"Basic automation design of die steel online hardening equipment","authors":"Jiangyun Li, Bo Chen, Nan Zheng, Xiaoli Li","doi":"10.1109/ICSSE.2012.6257211","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257211","url":null,"abstract":"A basic automation system of online hardening in a die steel plant is introduced. It is based on Siemens S7-400 PLC and WinCC. The design of hardware and software is water-oriented due to the fact that a die steel pre hardened is very sensitive to water consumption and ratio. The control of plunger valves, electric valves, roller speed, water pressure and spray distance is adopted to make water be steady and precise. The practice in reality shows the water control meets the design requirements and hardening results are superior quality.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"2019 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131766358","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}
Mingzhi Xu, Yingyao Zhang, Xiaobo Xie, H. Cui, Shengpu Xu, Yong Hu
{"title":"Automatic lumbar motion analysis based on particle filtering","authors":"Mingzhi Xu, Yingyao Zhang, Xiaobo Xie, H. Cui, Shengpu Xu, Yong Hu","doi":"10.1109/ICSSE.2012.6257149","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257149","url":null,"abstract":"Spinal motion is produced by complex coordination of nerves and muscles and is constrained by vertebral structure. The observation and measurement of lumbar motion is of great value for clinical diagnosis and surgical plan of lumbar disorders. Digitalized Video Fluoroscopy (DVF) is the most suitable one to image the spine motion but it is quite time consuming. This paper proposes an automatic lumbar motion analysis system (ALMAS) with particle filtering technology. The automatically vertebral tracking for motion analysis was utilized with a friendly-interface, which provides a window for users to process the acquired DVF sequence and to analyze the tracking results. A set of simulation vertebra image were used to evaluate the performance and accuracy of this system. In simulated sequence, the maximal difference is 1.3 mm in translation and 1° in rotation angle. The error is small in x- and y-translation (fiducial error: 2.4%, repeatability error: 0.5%) and in rotation angle (fiducial error: 1.0%, repeatability error: 0.7%). The ALMAS can still track the sequence contaminated by noise with the density ≤ 0.5. Besides, the results demonstrate that the data from the auto-tracking algorithm shows a strong correlation with the actual measurement and that the ALMAS is highly repetitive. Results from this study showed that ALMAS based on particle filtering are relatively robust and accurate for automatic lumbar motion analysis.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132982362","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 the model of unmanned aerial vehicle formation cooperative reconnaissance","authors":"Xiang Li, Qing-hua Xing, Tao Dong","doi":"10.1109/ICSSE.2012.6257184","DOIUrl":"https://doi.org/10.1109/ICSSE.2012.6257184","url":null,"abstract":"Air-to-ground cooperative reconnaissance with UAVs is the main application aspect in UAV's operation research. This paper addresses the problem of UAV formation cooperative reconnaissance, and the models associated with it are built which contain targets search for, identification and reconnaissance time aspects; then the factors influencing formation's cooperative reconnaissance capability are discussed with an simple but illuminating instantiation according to information share mechanism and formation constitution. Investigating the models of the problem is the basic of optimizing the constitution and share mechanism.","PeriodicalId":113116,"journal":{"name":"2012 International Conference on System Science and Engineering (ICSSE)","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132652938","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}