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2009 Ninth International Conference on Hybrid Intelligent Systems最新文献

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A Novel Method to Detect Junk Mail Traffic 一种检测垃圾邮件的新方法
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.239
Qiang Li, Baoliang Mu
{"title":"A Novel Method to Detect Junk Mail Traffic","authors":"Qiang Li, Baoliang Mu","doi":"10.1109/HIS.2009.239","DOIUrl":"https://doi.org/10.1109/HIS.2009.239","url":null,"abstract":"This paper proposes a junk mail or spam detection technique called ASCI (Abnormal SMTP Command Identification), which allows network administrators to cut off some spam traffic on email delivery. Our insight is that spamware usually generate special or abnormal packets deviating SMTP protocol for high throughout, while good users never do it. This characterization can be used to detect spam. ASCI is applied to two different volumes of email traffic data captured respectively near an email gateway and at a country-edged core router of a large commercial Internet Service Provider in China. Experimental results indicate that the method is effective and practical, with at least 11.4% reduction of email traffic for unwanted traffic","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393758","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
Robust Image Hash Based on Cyclic Coding the Distributed Features 基于循环编码的分布式特征鲁棒图像哈希
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.204
Sun-Woo Yang
{"title":"Robust Image Hash Based on Cyclic Coding the Distributed Features","authors":"Sun-Woo Yang","doi":"10.1109/HIS.2009.204","DOIUrl":"https://doi.org/10.1109/HIS.2009.204","url":null,"abstract":"Robust hash measure the similarity between two images by matching their short hash vectors. For its advantages of efficiency and versatility, robust hash has become a promising technology in image authentication and identification. Different to the traditional watermarking method, robust hash does not need to embed information into the host image. Therefore, it is promising to provide more robustness to geometrical distortions by robust hash. In this paper, a novel robust image hash algorithm is addressed on the issue of image rotation, which coding the distributed image features in cyclic manner, and the performance is discussed by an illustrative experiment.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219509","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
A Virtual Community Building Platform Based on Google Earth 基于Google Earth的虚拟社区建设平台
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.183
Xu Huaiyu, Ni Qing, Su Ruidan, Hou Xiaoyu, Xiao Chao
{"title":"A Virtual Community Building Platform Based on Google Earth","authors":"Xu Huaiyu, Ni Qing, Su Ruidan, Hou Xiaoyu, Xiao Chao","doi":"10.1109/HIS.2009.183","DOIUrl":"https://doi.org/10.1109/HIS.2009.183","url":null,"abstract":"Virtual community performs more and more important role for online users. Many tools for virtual community design, implementation and management have been developed, such as Virtual Reality (VR). On the other hand, few popular technologies have received frequent usage because of cost and time consuming. In this study, a platform for building virtual community more easily and quickly is proposed, which is called E-Life Platform (ELP) in our paper. ELP is based on Google Earth (GE) which provides high resolution global geographic information. The architecture of ELP system based on SketchUp is discussed in this paper. The detailed implementation of ELP is presented. Moreover, how to build a virtual community by using ELP is also described in this paper. Experimental results have shown the efficiency and low cost of ELP system.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114599340","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
Individual Cognitive Parameter Setting Based on Black Stork Foraging Process 基于黑鹳觅食过程的个体认知参数设置
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.80
Z. Cui
{"title":"Individual Cognitive Parameter Setting Based on Black Stork Foraging Process","authors":"Z. Cui","doi":"10.1109/HIS.2009.80","DOIUrl":"https://doi.org/10.1109/HIS.2009.80","url":null,"abstract":"Cognitive learning factor is an important parameter in particle swarm optimization algorithm(PSO). Although many selection strategies have been proposed, there is still much work need to do. Inspired by the black stork foraging process, this paper designs a new cognitive selection strategy, in which the whole swarm is divided into adult and infant particle, and each kind particle has its special choice. Simulation results show this new strategy is superior to other two previous modifications.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115713817","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
bSpace: A Data Cleaning Approach for RFID Data Streams Based on Virtual Spatial Granularity 基于虚拟空间粒度的RFID数据流数据清洗方法
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.266
Baoyan Song, Pengfei Qin, Hao Wang, Weihong Xuan, Ge Yu
{"title":"bSpace: A Data Cleaning Approach for RFID Data Streams Based on Virtual Spatial Granularity","authors":"Baoyan Song, Pengfei Qin, Hao Wang, Weihong Xuan, Ge Yu","doi":"10.1109/HIS.2009.266","DOIUrl":"https://doi.org/10.1109/HIS.2009.266","url":null,"abstract":"RFID holds the promise of real-time identifying, locating, tracking and monitoring physical objects without line of sight, and can be used for a wide range of pervasive computing applications. To achieve these goals, RFID data have to be collected, filtered, and transformed into semantic application data. RFID data, however, contain false readings and duplicates. Such data cannot be used directly by applications unless they are filtered and cleaned. To compensate for the inherent unreliability of RFID data streams, most RFID middleware systems employ a “smoothing filtering”. In this paper, a new “smoothing filtering” approach named bSpace is proposed, which is based on the concept of virtual spatial granularity. For providing accurate RFID data to applications, bSpace uses a Bayesian estimation algorithm to fill up false negatives, and uses the rules which we define to solve false positives.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114443388","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: 11
The Netlogo-Based Dynamic Model for the Teaching 基于网络语言的动态教学模型
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.121
Longbin Jiang, Chun-xiao Zhao
{"title":"The Netlogo-Based Dynamic Model for the Teaching","authors":"Longbin Jiang, Chun-xiao Zhao","doi":"10.1109/HIS.2009.121","DOIUrl":"https://doi.org/10.1109/HIS.2009.121","url":null,"abstract":"This paper is to understand the dynamics of teaching behaviors based on complex adaptive system theory and methods of modeling. Due to the complexity and indetermination of complex systems, it is difficult to study the complex systems with the traditional reductive theory. The agent-based computer simulation is approved in the paper. Because classical interactions only among pre-set behavioral models may limit the capability to explore all possible evolution patterns, to tackle this issue, we introduce participating method to the MAS model, propose participator MAS(P-MAS)modeling method. In order to support this new approach, we introduce the concept and framework of artificial classroom (AC) for the first time by employing artificial societies. By adopting the bottom-up modeling technique and MAS model, the innovative dynamic model of AC is built. We have given a system structure of AC, design and implement an AC based on TCP/IP. The AC is currently being developed in NetLogo/HubNet. It provides a good tool to study classroom behaviors.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114792031","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
A New Scan-Line Algorithm Using Clustering Approach 一种新的聚类扫描线算法
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.129
Xiaoguang Tian, Yuke Ma, X. Hou
{"title":"A New Scan-Line Algorithm Using Clustering Approach","authors":"Xiaoguang Tian, Yuke Ma, X. Hou","doi":"10.1109/HIS.2009.129","DOIUrl":"https://doi.org/10.1109/HIS.2009.129","url":null,"abstract":"Correct recognition of the lines is essential for technical drawing understanding. Automation solution is quite difficult due to the limitations of machine vision algorithm. In order to promote development of better technology, according to the fast and high-quality clustering algorithm Particle Swarm Optimization (PSO), a new fast and high-quality line clustering algorithm present in this paper, that consisting of one scan-line connected components processing are clustered and an appropriate measure to recognize the pattern of every line including the dash-line in the drawing paper. The underlying mechanisms are excluding isolated components, a sequential stepwise recovery of components that meet certain continuity conditions and the results presented the node-tree structure that can enhance efficiency of computer. The performance of the algorithm is better in our experiment","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127369871","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
Simulation Study of AC Motor Speed Sensorless Vector Control System Based on SVPWM 基于SVPWM的交流电机无速度传感器矢量控制系统仿真研究
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.108
Hui Jin, Yue-ling Zhao, Da-zhi Wang
{"title":"Simulation Study of AC Motor Speed Sensorless Vector Control System Based on SVPWM","authors":"Hui Jin, Yue-ling Zhao, Da-zhi Wang","doi":"10.1109/HIS.2009.108","DOIUrl":"https://doi.org/10.1109/HIS.2009.108","url":null,"abstract":"The paper applies the Space Vector Pulse Width Modulation (SVPWM) algorithm to speed sensorless vector control system according to the theory of Space Vector Pulse Width Modulation, so as to enhance the stability and the performance of speed sensorless drives. The vector control strategy of the SVPWM voltage source inverter fed induction motor is studied. To testify the correctness and feasibility of the scheme, the simulation method is proposed to estimate the motor speed and realize a simple and high performance speed sensorless system. This system has been implemented on dynamic simulated tool SIMULINK of MATLAB software in AC motor. The simulation results show that the method gives satisfying estimation of stator flux and rotor speed in the whole speed range and can improve the control precision.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125418492","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: 11
Efficient k-Dominant Skyline Processing in Wireless Sensor Networks 无线传感器网络中有效的k-Dominant Skyline处理
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.273
Jianmei Huang, Junchang Xin, Guoren Wang, Miao Li
{"title":"Efficient k-Dominant Skyline Processing in Wireless Sensor Networks","authors":"Jianmei Huang, Junchang Xin, Guoren Wang, Miao Li","doi":"10.1109/HIS.2009.273","DOIUrl":"https://doi.org/10.1109/HIS.2009.273","url":null,"abstract":"Wireless sensor network amalgamates sensing, computing and communication technologies. Because of the energy limitation of sensor nodes, how to manage the data collected by the sensor nodes energy-efficiently becomes the focus of the research recently. As the main mean of multi-decision and data mining, skyline query plays a more and more important role in sensing applications. However, as the increase of data dimensionality, skyline query results extend greatly, which not only obstacles the decision, but also costs most of the energy of the nodes. In this article, k-dominant skyline query is researched deeply to deal with the above problem. An energy-efficient $k$-dominant skyline query algorithm (EKS) is proposed to calculate the $k$-dominant skyline of the wireless sensor network. The experimental results show that EKS could reduce the communication cost of the sensor network,while it calculates the k-dominant skyline, therefore, prolong the life-span of it.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128122003","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: 4
A Classification Algorithm Based on an Association Rule of Multiple Frequent Item-Sets 基于多频繁项集关联规则的分类算法
2009 Ninth International Conference on Hybrid Intelligent Systems Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.271
Zhiheng Liang
{"title":"A Classification Algorithm Based on an Association Rule of Multiple Frequent Item-Sets","authors":"Zhiheng Liang","doi":"10.1109/HIS.2009.271","DOIUrl":"https://doi.org/10.1109/HIS.2009.271","url":null,"abstract":"It is necessary to discrete datasets firstly if you want to data mining an association rule of datasets consisting of many categorical and numeric attributes by a traditional algorithm. However, in view of the versatility, the applications of the traditional algorithm are limited. This paper propose a new algorithm called ARMFI(Association Rule of Multiple Frequent Item-sets) which can data mining an Association Rule from datasets consisting of many categorical and numeric attributes directly and completely, and overcome disadvantage of the traditional algorithm. The result has been proofed that the ARMFI shows better performances than the traditional algorithm¿","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879281","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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