{"title":"Hybrid Artificial Bee Colony Algorithm for Solving Nonlinear System of Equations","authors":"Rui-min Jia, Deng-xu He","doi":"10.1109/CIS.2012.21","DOIUrl":"https://doi.org/10.1109/CIS.2012.21","url":null,"abstract":"The paper presents a hybrid algorithm for solving nonlinear system of equations through combining Artificial Bee Colony algorithm and Particle Swarm Optimization algorithm together. Numerical computations show that the hybrid algorithm has feasibility and validity in solving nonlinear system of equations.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115340292","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":"Design the Desktop Backup System Based on Cloud Computing","authors":"Jing Nie","doi":"10.1109/CIS.2012.48","DOIUrl":"https://doi.org/10.1109/CIS.2012.48","url":null,"abstract":"Based on extensive use of cloud computing, combined with various backup strategies, achieve a backup client running on the user's desktop. The users who used cloud backup confront with the diverse cloud storage interface, directories and large files backup trouble. Based on the SNIA cloud storage model, compared with diverse interface from several cloud storage vendor, a cloud interface layer which shields the difference cloud storage interface is designed. Mapping the file system directory hierarchies and cloud storage data model, using hierarchical transmission implements directories backup. Though extending the file metadata information to achieve full backup, incremental backup, differential backup. Using breakpoint transmission to realize big files backup. Finally. the backup client performance test results show that the technology achieve a good performance.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116209232","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 First Class M Subsequence","authors":"Yingni Duan, Haifeng Zhang, H. Lv, Junchu Fang","doi":"10.1109/CIS.2012.119","DOIUrl":"https://doi.org/10.1109/CIS.2012.119","url":null,"abstract":"For the difficulty of pseudo-random sequence generation, on the basis of construction research of the first class m subsequence, this paper realizes m subsequence based on shift register theory and deduces feedback function expression of m subsequence and analyses linear complexity of sequence by applying B-M algorithm. The analysis shows that linear complexity of m subsequence is larger than linear complexity of m sequence, close to a half of m sequence period.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128666720","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 Comparison of Individual Differences in Occupational Differentiation of Peasants in China - The Perspective Based on Differences in Degree of Specialization","authors":"Yibo Li, Jian-Qiang Peng, Rui Wang, Bang-Hong Zhao","doi":"10.1109/CIS.2012.161","DOIUrl":"https://doi.org/10.1109/CIS.2012.161","url":null,"abstract":"Occupational differentiation of farmers has important significance for promoting the development of agricultural modernization and the modernization of the State. Occupational differentiation of individual farmers in China is different in degree, and farmers' occupational differentiation in this article is divided into three types - the professional farmers (undifferentiated ones), part-time farmers and totally differentiated farmers engaged in non-agricultural industries. Based on differences in degree of specialization, these three categories of farmers were compared in the aspects of individual characteristics, family characteristics, employment status to identify their patterns and characteristics, and thus to provide the basis for the reasonable boot vocational differentiation of the farmers.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128492239","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 Optimization Design Method of Integrated Radar and Jammer Signal Modulated by Bi-phase Sequences of Chaos","authors":"Guoxi Han, Jun He, Jianqing Qi","doi":"10.1109/CIS.2012.18","DOIUrl":"https://doi.org/10.1109/CIS.2012.18","url":null,"abstract":"An optimization design method of the integrated signal in modern radar and jammer integration system is presented based on improved chaos genetic algorithm. The bi-phase sequences are generated based on the spatiotemporal chaos system and the optimization model of bi-phase sequences of chaos is constituted based on the design principles of the integrated signal. Then, the improved chaos genetic algorithm based on adaptive choice strategy is applied to solve the model and the calculation steps are presented in detail. Finally, the idiographic examples are analyzed and the simulation results have shown that the improved chaos genetic algorithm is valid and applicable for the optimization design of integrated radar and jammer signal and meanwhile the acquired bi-phase encoding signal of chaos possesses fine resolution for power and jamming characteristics.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127209857","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":"Further Research on Group Consensus of Multi-agent Systems","authors":"Xin-Lei Feng, Liping Jia","doi":"10.1109/CIS.2012.50","DOIUrl":"https://doi.org/10.1109/CIS.2012.50","url":null,"abstract":"In this paper, we consider group consensus problem by giving a kind of new protocol in which communication graph weights are all nonnegative. This is also consistent with classic protocols. The sufficient conditions which group consensus under this kind of protocols can reach for both single and second order multi-agent system are obtained. Finally, numerical examples are given to illustrate our theoretical results.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121927641","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":"Analysis and Forecasting on the Relationship between Port Logistics Capacity and Coastal Marine Economic Growth Based on PKNN in Case of Zhejiang Province","authors":"Zhibin Li, Lingling Wang, Haichuan Lou","doi":"10.1109/CIS.2012.62","DOIUrl":"https://doi.org/10.1109/CIS.2012.62","url":null,"abstract":"A priori knowledge neural network is presented to model on the relationship between the port logistics capacity and coastal marine economic growth in Zhejiang province in China. Compared to other methods (such as general GM (1, 1) based time series model), the PKNN with multivariate and time series method has better performance. And, it is validated by predicting the level of coastal ocean economic development in Zhejiang from the year 2011 to 2020.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114263936","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}
Xiao-Feng Lei, Zhang Lejun, Zhang Jianpei, Yang Jing, Guo Lin
{"title":"An Improved Community Detection Algorithm Based on Local Information in Social Networks","authors":"Xiao-Feng Lei, Zhang Lejun, Zhang Jianpei, Yang Jing, Guo Lin","doi":"10.1109/CIS.2012.71","DOIUrl":"https://doi.org/10.1109/CIS.2012.71","url":null,"abstract":"As community detection having been a hot issue in recent years, firstly the correlate clustering technologies based on local information are studied and summarized. Secondly, the label propagation algorithm that is short for LPA is researched and analyzed in depth. Finally, for the random strategy of LPA results that the network partition is always not optimal, we introduces the concept of the similarity of nodes' attributes, and proposes label propagation algorithm on the basis of the similarity of nodes' attributes called LPA-SNA for short.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124394757","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":"Innovative Teaching and Learning Experiences in Network Attacks and Defense","authors":"Weimin Wei, Liping Sun","doi":"10.1109/CIS.2012.137","DOIUrl":"https://doi.org/10.1109/CIS.2012.137","url":null,"abstract":"Network attacks and defense, as a core lesson in the field of the information security, introduce a kind of educational method called situational teaching which separate attacking roles as well as defending ones apart dividing this course into 12 subjects: scanning, network sniffing, password cracker, spoofing attacks, DOS (Denial of Services), buffer overflows, Web attacks, SQL (Structured Query Language) injection, Trojan-horse, computer virus, mobile phone virus, firewall as well as intrusion detection, each group containing 6 students have one task, half of whom belong to the attacking fields while the remaining should work on the opposite side. We sincerely hope that through this practice students' comprehensive capability including practical ability, self-learning ability and how to solve, analyze one problem as well as to get along with others can be improved to some extent.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133158455","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}
Xin Liu, S. Cheng, X. Zhang, X. Yang, Ba Thach Nguyen, Sukhan Lee
{"title":"Unsupervised Segmentation in 3D Planar Object Maps Based on Fuzzy Clustering","authors":"Xin Liu, S. Cheng, X. Zhang, X. Yang, Ba Thach Nguyen, Sukhan Lee","doi":"10.1109/CIS.2012.88","DOIUrl":"https://doi.org/10.1109/CIS.2012.88","url":null,"abstract":"This paper investigates the problem of acquiring planar object maps of indoor household environments in particular kitchens. The objects modeled in these maps include tables, walls and ceilings. Our segmentation approach is based on 3D point cloud data representations. In order to solve the segmentation problem in complicated environment, a variable model is used in this paper. It is applied in 3D planar segmentation from point clouds. The segmentation algorithm was developed based on fuzzy K-means, which can automatically find the optimal number of clusters and self-organize the clusters based on Inter cluster Distance Index and Sample Distribution Index. After the 3D point clouds of each planar are clustered, we get the 3D planar candidates by extracting semantic information from the clusters based on functional reasoning module. The model has been evaluated on the real test scenes, which contain noisy point clouds. Empirical results show that our model can rationally interpret planar objects from the point clouds and shows the high performance and robust results.","PeriodicalId":294394,"journal":{"name":"2012 Eighth International Conference on Computational Intelligence and Security","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131969554","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}