{"title":"Data mining software design for wind farms","authors":"Liyang Liu, Junji Wu, Shaoliang Meng","doi":"10.1109/ICSESS.2013.6615248","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615248","url":null,"abstract":"Recent years has witnessed a rapid development of the wind power industry. It has become a concern for operators as to how to extract valuable information from the massive amount of historical data generated during operation of wind farm. A design plan of data mining software applied in wind farm is proposed in this paper. B/S mode and J2EE framework are adopted, and the software is composed of three layers: data layer, logical layer and presentation layer. The technology used in software development is explained in detail. Data mining algorithms of the software are also introduced, with the focus laid on analytical method of time series. The plan is highly feasible and can be taken as reference to development of data analysis software for wind farms.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132114495","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":"Content activity based short-cut routing in Content centric Networks","authors":"Tao Liu, Ming Tian, Dongnian Cheng","doi":"10.1109/ICSESS.2013.6615353","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615353","url":null,"abstract":"Content-centric Networking (CCN) is a novel paradigm for content distribution with name based routing. However, the basic CCN routing scheme is not efficient for content retrieving and resource utilization. Based on the announcement of cached content in routers, we present a new content routing fashion called shout-cut routing, which enables routers to perceive neighbor's caching information and perform best routing decision.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132000460","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 implementation of PLC monitoring system based on OPC","authors":"Z. Yongsheng, Liu Miaomiao, Zhao Fengzhi","doi":"10.1109/ICSESS.2013.6615349","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615349","url":null,"abstract":"This paper briefly introduces the basic principle of OPC technology, explains how to program in means of automation interface in Delphi development environment and establishes the connection between OPC client program and Siemens S7-300 series PLC through Profibus and Simatic Net OPC server so as to achieve the process of PLC data reading and writing.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132784749","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":"Diagram change types taxonomy based on analysis and design models in UML","authors":"Akapon Inpirom, N. Prompoon","doi":"10.1109/ICSESS.2013.6615306","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615306","url":null,"abstract":"Software requirements change usually occurs in every phase of software development life cycle. The approved changes will often affect to other parts of software or related artifacts. How to identify which parts are affected by such changes is a challenge issue especially in a large scale software development composed of various kinds of artifacts. Change Impact Analysis (CIA) principle are basically based on change types classification and component behavior analysis according to propagation of the impact, which is known as the impact rules. They were used to predict the potential impacts of the changes. However, most research related to change impact analysis focused on the change had effect on source code. This paper proposes a taxonomy of the change types classification that occurs with the analysis and design of software artifacts based on Unified Modeling Language (UML), including use case diagram, class diagram and sequence diagram. The application of our proposed taxonomy is also presented.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122044213","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":"Hidden Markov model based automated fault localization for integration testing","authors":"Ning Ge, S. Nakajima, M. Pantel","doi":"10.1109/ICSESS.2013.6615284","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615284","url":null,"abstract":"Integration testing is an expensive activity in software testing, especially for fault localization in complex systems. Model-based diagnosis (MBD) provides various benefits in terms of scalability and robustness. In this work, we propose a novel MBD approach for the automated fault localization in integration testing. Our method is based on Hidden Markov Model (HMM) which is an abstraction of system's component to simulate component's behaviour. The core of this method is a fault localization algorithm that gives out the set of suspect faulty components and a backward algorithm that calculates the matching degree between the HMM and the real system to evaluate the confidence degree of the localization conclusion. The proposed method is evaluated on a specific test bed and is applied to a simple helicopter control system case study.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121940692","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":"License plate location method based on texture and color","authors":"Yingjun Wu, Shouxun Liu, Xuan Wang","doi":"10.1109/ICSESS.2013.6615324","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615324","url":null,"abstract":"License plate location (LPL) from moving vehicle images is a key step in license plate recognition (LPR) system. A novel LPL algorithm is proposed in this paper to jointly consider color and texture distribution features of license plate area (LPA) in an image. The method is divided into two steps of detecting vehicles through background subtraction method and locating LPA by combining texture features and color features respectively. Experimental results show that this method can efficiently overcome the limitation of vehicles with complicated background, and can consequently achieve high detection rate in complex situations.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"21 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123245511","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":"Visual simulation of the radar detection range under complex atmospheric environment","authors":"Yu Xiaoyou, Yubing Bai, Jun-gao Xu, Tiejun Chen, Ling Yin","doi":"10.1109/ICSESS.2013.6615483","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615483","url":null,"abstract":"The electromagnetic information visualization is an indispensable part of the virtual battlefield environment, the radar information becomes more important, especially for radar detection range visualization. In this paper, three-dimensional visualization of the design and implementation of radar detection range has been researched. Based on visualization program of radar electromagnetic wave propagation attenuation, this paper presents a computational model of radar electromagnetic wave propagation attenuation in complex atmospheric environment and the rendering algorithm based on spatial sampling. Applying software programming and visualization techniques, simulating the actual terrain and combining with radar data parameters, the paper realizes three-dimensional visualization of the radar detection range under the complex atmospheric environment.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125168452","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 improvement of GAC model for image segmentation","authors":"Qiang Wang","doi":"10.1109/ICSESS.2013.6615480","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615480","url":null,"abstract":"An Adaptive image segmentation algorithm based on geometric active contour (GAC) model was presented in this paper in order to solve the problem that tradition GAC model can not segment adaptively. By combining the regional information to construct energy functional description area information. We propose an improved adaptive image segmentation algorithm, This algorithm combines the advantages of GAC model and C-V model effectively, Regional energy functional could determine the evolution speed to replace the constant evolution speed in traditional GAC model. Experimental results showed that the proposed algorithm is feasible, and reaches an obvious effect in terms of boundary leaking.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731796","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 Adaptive Assistant-Aided Clustering Protocol for WSNs using Niching Particle Swarm Optimization","authors":"Dexin Ma, Jian Ma, Pengmin Xu","doi":"10.1109/ICSESS.2013.6615390","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615390","url":null,"abstract":"Wireless sensor networks request robust energy efficient communications. In this literature, we propose and analyse an Adaptive Assistant-Aided Clustering Protocol using Niching Particle Swarm Optimization (AAAC-NPSO), a protocol scheme for wireless sensor networks that obeys the idea of energy efficient with application-specific to obtain good performance. Our simulation results show that AAAC-NPSO can improve system lifespan and data delivery by optimizing energy dissipation in the networks.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123841859","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 on topic detection based on multi-models and multi-characteristics","authors":"Zhang Su-xiang, Li Yaxi, Wang Xiu-li, Xie Lin-yan","doi":"10.1109/ICSESS.2013.6615379","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615379","url":null,"abstract":"In this paper, a new approach was proposed for the topic detection, which combined the multi-models and multi-characteristics, entity information similarities were researched as features for support vector machine model (SVM) by us, for example, the content similarity, time similarity and location similarity methods can be proposed respectively, the Bayesian model also can be discussed to obtain the atomic characteristics in this paper. Except this features, the expert knowledge base has been studied to solve the difficult classification problem. The experimental results show that the approach combined the statistical model with expert rule base is effective.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127949600","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}