{"title":"The Research of topology management baseon IPv6 network","authors":"W. Lixin, Songming Xu","doi":"10.1109/ICCIAUTOM.2011.6183922","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183922","url":null,"abstract":"This paper presents the method of network topology automatic discovery in IPv4 and presents several problems which must be resolved in IPv6 network topology automatic discovery management. Explain how network topology works in Network Management, these two above are the basement of IPv6 network topology. Then this paper deeply studies these problems and finds out the designing and accomplishing methods and designs and implements a network topology management system in IPv6.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129156731","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":"Simultaneous enhance text clustering and annotation based on topic model and random walks","authors":"Jiashen Sun, Xiaojie Wang, Caixia Yuan","doi":"10.1109/ICCIAUTOM.2011.6183893","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183893","url":null,"abstract":"Web page clustering and annotation promise improved search and browsing on the web, which has received significant attention in the past, however, most approaches have been targeted at only one of the two issues. In this paper, we address text clustering and annotation as a joint problem and show how the two enhance each other. We first present a topic model, via which we construct an association graph including tags, document and topics, then we perform random walks over the graph and achieve clustering and annotation simultaneously. We examine the performance of our model on a real-world data sampled from del.icio.us and ODP, illustrating that our model provides improved annotation and clustering performance over two strong baseline models.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383312","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":"Supervised discriminant projection in Kernel space","authors":"Jianguo Wang","doi":"10.1109/ICCIAUTOM.2011.6183890","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183890","url":null,"abstract":"Kernel supervised discriminant projection (KSDP) is proposed in this paper. KSDP method not only preserves the discriminant information with intrinsic geometric relations, but also represents the complex nonlinear variations of face images. Experimental results demonstrate the effectiveness of the proposed method.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116108159","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 ontology-based collaborative filtering recommendation for personalized TV program application","authors":"Luo Chuanfei, Yao Lingling","doi":"10.1109/ICCIAUTOM.2011.6183953","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183953","url":null,"abstract":"Even though recent hybrid methods have helped to avoid certain limitations of Content-based (CB) filtering and collaborative filtering (CF), scalability and sparsity are still major problems in large-scale recommendation systems. This paper presents a novel collaborative recommendation method based on ontology for personalized TV program application. In the proposed method, we give a new formula to calculate user ratings explicitly according to four TV-watching related behaviors' preferences. More specifically, in order to overcome sparsity problems of CF, we build the TV programs ontology to take semantic relationship to estimate contents' concept similarity. Experiments show that Ontology can explicitly reveal the similarity of programs. In our WEB-TV prototype system, Ontology-based collaborative recommendation method illustrate the ability improving the precision and recall in a large degree.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117283258","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":"Carrier-grade cloud service SLA management research","authors":"Lu Liu, Yunyong Zhang, Yan Liang, Yinghui Cheng","doi":"10.1109/ICCIAUTOM.2011.6184011","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6184011","url":null,"abstract":"The focus of Cloud Service competition gradually turned from “resource competition” to “customer-centric” competition. To the Telecom Providers who wants to provide carrier-grade cloud service should more concern about the quality of cloud services. In this background, this paper analyzes SLA management with two new cloud concepts: Service Catalog and Standard Unit of Measure, and builds a comprehensive service quality measure system which consists of two angles: quantitative and qualitative. The goal of this paper is to highlight the need for the cloud industry to create consistent ways to describe standard services to encourage the evolution in dynamic cloud environment.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126571291","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":"Wavelet transform theory applied research in quantum chemistry","authors":"Guilin Lu, XunLei Wu, Shaohong Wang","doi":"10.1109/ICCIAUTOM.2011.6183927","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183927","url":null,"abstract":"Wavelet transform has can be also extract characteristics of useful information from time - scale, Sit-e key is be Selected as wave function of schrödinger equation, According to the continuous wavelet and discrete wavelet different characteristics, It is specifically applied to the analysis of structure- internal forces-external forces of electronic shell structure, It is made with the same conclusion of self-consistent field theory and density functional theory.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"443 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116513846","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}
Han Xiao, Jian-zhong Zhou, Zhi-gao Huang, Mengqi Yang
{"title":"A method of multi-channel ultrasonic flow rate measurement based on piecewise curve fitting","authors":"Han Xiao, Jian-zhong Zhou, Zhi-gao Huang, Mengqi Yang","doi":"10.1109/ICCIAUTOM.2011.6183934","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183934","url":null,"abstract":"For the case of complicated turbulent velocity distribution caused by the pipeline structure of hydraulic unit, a method of multi-channel ultrasonic flow rate measurement based on piecewise curve fitting is proposed. In this method, the line mean velocities are obtained by the multi-channel parallel layers measurement. According to the features of the fluid in the pipeline, a piecewise curve is fitted to the velocity of every measurement level, which is used to calculate the flow rate. With plenty of advantages, such as high precision, strong adaptability, wide range of applications and simple calculation, the method is worth to be extended in the flow rate measurement. In addition, combined with practical applications, a model of velocity distribution is created, and the simulation experiments are made to show the correctness and validity of the method","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130216834","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 principal component analysis and partical swarm optimization based method for separation of electromagnetic signals","authors":"Liu Hongyi, Zhao Di, Wen Xi","doi":"10.1109/ICCIAUTOM.2011.6183891","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183891","url":null,"abstract":"In a complex electromagnetic environment, and with little knowledge about the source electromagnetic signals, it is a big challenge to analyze an electronic system's electromagnetic compatibility (EMC) or arrange the electromagnetic signal source properly. To solve this problem, useful signals and noise signals should be separated first from the mixed signals that can be measured. In this paper, we proposed a separation method which mainly takes two steps. The first step is to determine the number of source signals by combining the Principle component analysis (PCA) and the maximum likelihood estimation (MLE) methods. The second step is to separate the mixed observation signals. We achieve this by using the particle swarm algorithm. A simulation experiment is given to demonstrate the validity and efficiency of the proposed separation algorithm.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"23 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131638893","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":"Clustering web pages with expanded tags","authors":"Li Zhao, Lianhe Yang, Yinghuang Liang","doi":"10.1109/ICCIAUTOM.2011.6183985","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6183985","url":null,"abstract":"Social annotations e.g. tags are good descriptors of web page semantics, which have large potential for web document clustering. However, most web pages have few tags. The sparsity seriously affects the clustering performance. To overcome the problem, we incorporate user-related tag context, a specially constructed tag set, to improve the topic representation and estimation for documents. Experimental results demonstrate the nice effect of tag context on addressing the sparsity problem. Compared to clustering based on non-expanded tags, our approach achieves a statistically significant increase of 26.5% to 47.4% on F1 score.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130643842","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 solution to develop dependable component-based software","authors":"Shuanghui Yi, Bo Deng","doi":"10.12696/GSAM.2013.1012","DOIUrl":"https://doi.org/10.12696/GSAM.2013.1012","url":null,"abstract":"In this paper, we present a development solution to enhance the dependability of component-based software. The solution focuses on the dependable encapsulation and composition on the basis of distributed component container environment. After that, the dependability development tool was build. With the tool, developers could inject the dependable attributes into components to achieve the dependability such as security, reliability and so on.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134292474","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}