Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045035
Jie Zhang, Bo Zhang, Xinjing Liu, Xiaojun Jing
Repairing incomplete fingerprints continues to be an important challenge today, despite the advances made in fingerprint enhancement techniques. Owing to the incomplete fingerprint may not include sufficient information such as minutiae and ridges, so matching error usually increases as the number of detected such details decreases. This paper proposed a reparation method and then applied this to matching in order to improve the reparation effect. Specifically, the nearest minutiae and sampling points are used for estimation the unknown orientation field firstly. Secondly, disrupted ridges are reconnected and missing minutiae are recovered based on previous outcome and the observation of ridges distribution. Finally, repaired results are verified in matching hierarchically to choose the best one, and the matching result is generated at the same time. Our experiments show that the proposed approach can actually improve the quality of reparation and effectively reduce the error of matching.
{"title":"A matching-improved reparation method for incomplete fingerprint","authors":"Jie Zhang, Bo Zhang, Xinjing Liu, Xiaojun Jing","doi":"10.1109/CCIS.2011.6045035","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045035","url":null,"abstract":"Repairing incomplete fingerprints continues to be an important challenge today, despite the advances made in fingerprint enhancement techniques. Owing to the incomplete fingerprint may not include sufficient information such as minutiae and ridges, so matching error usually increases as the number of detected such details decreases. This paper proposed a reparation method and then applied this to matching in order to improve the reparation effect. Specifically, the nearest minutiae and sampling points are used for estimation the unknown orientation field firstly. Secondly, disrupted ridges are reconnected and missing minutiae are recovered based on previous outcome and the observation of ridges distribution. Finally, repaired results are verified in matching hierarchically to choose the best one, and the matching result is generated at the same time. Our experiments show that the proposed approach can actually improve the quality of reparation and effectively reduce the error of matching.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874479","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045095
Rong Wang, Xin-long Luo, Jiaru Lin
In this paper, we propose a cooperative relay selection scheme based on geographical information in cellular networks. According to the current user equipment density in a certain cell, we firstly choose the potential relays among the user equipments. Then, the localization algorithm based on time difference of arrival has been adapted to locate the potential nodes. Finally, we select the cooperative relay from the potential relays based on the known geographical information. We also give simulation experiments. Simulation results show that the scheme can choose the best cooperative relay to increase effectively the user capacity and to improve system performance as well.
{"title":"Cooperative relay selection scheme based on geographical information","authors":"Rong Wang, Xin-long Luo, Jiaru Lin","doi":"10.1109/CCIS.2011.6045095","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045095","url":null,"abstract":"In this paper, we propose a cooperative relay selection scheme based on geographical information in cellular networks. According to the current user equipment density in a certain cell, we firstly choose the potential relays among the user equipments. Then, the localization algorithm based on time difference of arrival has been adapted to locate the potential nodes. Finally, we select the cooperative relay from the potential relays based on the known geographical information. We also give simulation experiments. Simulation results show that the scheme can choose the best cooperative relay to increase effectively the user capacity and to improve system performance as well.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338970","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}
Service reputation is a key factor for services selection and services composition in Service-Oriented AmI system, and the calculation of reputation in AmI system should fully reflect the feature of multi-rating fusion and rating's utility value dynamic attenuation mechanism. A good model is important for reputation computing. The paper proposes three models from different views. Conceptual data model gives the constitution of reputation using the UML class diagram; Conceptual layered model classifies the related conceptual which involve in the reputation computing into different layers; Computation model gives the core algorithms which are used to computing the reputation. These models provide a reference guide for reputation computing in service-oriented AmI.
{"title":"Modeling reputation for service-oriented AmI environments","authors":"Huibing Zhang, Yibin Hou, Zhangqin Huang, Cuiqin Hou","doi":"10.1109/CCIS.2011.6045102","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045102","url":null,"abstract":"Service reputation is a key factor for services selection and services composition in Service-Oriented AmI system, and the calculation of reputation in AmI system should fully reflect the feature of multi-rating fusion and rating's utility value dynamic attenuation mechanism. A good model is important for reputation computing. The paper proposes three models from different views. Conceptual data model gives the constitution of reputation using the UML class diagram; Conceptual layered model classifies the related conceptual which involve in the reputation computing into different layers; Computation model gives the core algorithms which are used to computing the reputation. These models provide a reference guide for reputation computing in service-oriented AmI.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996457","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045071
Fanghua Ning, W. Zhou, Fengying Zhang, Q. Yin, Xiajing Ni
With the development of cloud computing and internet of things, cloud manufacturing, which is operated independently by the third party, service-oriented, high efficient and low energy consumed, has become a newly-networked manufacturing mode to cope with complicated manufacturing and large-scale collaborative manufacturing. Based on the concept of cloud manufacturing and its operation principle, this paper designs a new architecture of cloud manufacturing, which is to explain the flow directions and combinations of cloud manufacturing resources, included the following six layers: physical layer, resource-oriented interface layer, virtual resource layer, the core service layer, service-oriented interface layer and application layer. Meanwhile, key technologies have been discussed, such as cloud integration, resource scheduling, cloud security, and its standardization. The research lays foundation for further research.
{"title":"The architecture of cloud manufacturing and its key technologies research","authors":"Fanghua Ning, W. Zhou, Fengying Zhang, Q. Yin, Xiajing Ni","doi":"10.1109/CCIS.2011.6045071","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045071","url":null,"abstract":"With the development of cloud computing and internet of things, cloud manufacturing, which is operated independently by the third party, service-oriented, high efficient and low energy consumed, has become a newly-networked manufacturing mode to cope with complicated manufacturing and large-scale collaborative manufacturing. Based on the concept of cloud manufacturing and its operation principle, this paper designs a new architecture of cloud manufacturing, which is to explain the flow directions and combinations of cloud manufacturing resources, included the following six layers: physical layer, resource-oriented interface layer, virtual resource layer, the core service layer, service-oriented interface layer and application layer. Meanwhile, key technologies have been discussed, such as cloud integration, resource scheduling, cloud security, and its standardization. The research lays foundation for further research.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121352455","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045123
Shu-Min Chuang, Kuo-En Chang, Y. Sung
The total initial cost of enterprise learning management system is very high on the infrastructure and software applications, so that enterprises start to adopt cloud computing to reduce expenditure on infrastructure, software and IT human resource. The paper provides a cost effective structure of hybrid cloud architecture that has been implemented the multi-tenant model for enterprise to support customization sharing among different virtualized applications in a tenant area. The schema-sharing and multi-tenant data storage architecture also supports the learning content delivery. The important basis for the design method of software development shall embed with the cost effective structure, such as using multithreads to compute background processing and unzip the content files to reduce brand width usage. Even the file sizes of learning content shall be zipped to the less small size and duplicate to different servers for cutting down the traffic flow of brand width. The detailed calculation of the all I/O computer processing and brand width become the crucial implementation way.
{"title":"The cost effective structure for designing hybrid cloud based enterprise E-learning platform","authors":"Shu-Min Chuang, Kuo-En Chang, Y. Sung","doi":"10.1109/CCIS.2011.6045123","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045123","url":null,"abstract":"The total initial cost of enterprise learning management system is very high on the infrastructure and software applications, so that enterprises start to adopt cloud computing to reduce expenditure on infrastructure, software and IT human resource. The paper provides a cost effective structure of hybrid cloud architecture that has been implemented the multi-tenant model for enterprise to support customization sharing among different virtualized applications in a tenant area. The schema-sharing and multi-tenant data storage architecture also supports the learning content delivery. The important basis for the design method of software development shall embed with the cost effective structure, such as using multithreads to compute background processing and unzip the content files to reduce brand width usage. Even the file sizes of learning content shall be zipped to the less small size and duplicate to different servers for cutting down the traffic flow of brand width. The detailed calculation of the all I/O computer processing and brand width become the crucial implementation way.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371731","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045042
Kansheng Shi, Lemin Li, Jie He, Haitao Liu, Naitong Zhang, Wentao Song
The traditional K-means algorithm is sensitive to the initial point, easy to fall into local optimum. In order to avoid this kind of flaw, an improved K-means text clustering method WIKTCM is proposed. The new method creates an innovative initial centers selection method and accommodates the contribution of characteristics of different parts of speech to the text. In addition, the impact of outliers is considered. Experimental results show that the new method has better clustering results.
{"title":"A linguistic feature based text clustering method","authors":"Kansheng Shi, Lemin Li, Jie He, Haitao Liu, Naitong Zhang, Wentao Song","doi":"10.1109/CCIS.2011.6045042","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045042","url":null,"abstract":"The traditional K-means algorithm is sensitive to the initial point, easy to fall into local optimum. In order to avoid this kind of flaw, an improved K-means text clustering method WIKTCM is proposed. The new method creates an innovative initial centers selection method and accommodates the contribution of characteristics of different parts of speech to the text. In addition, the impact of outliers is considered. Experimental results show that the new method has better clustering results.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128072692","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045058
Xiuqin Lin, Xiaowei Yan, Liutong Xu, Xinyang Piao
Cloud computing is a fusion of network technology and traditional computer technology. It aims to deliver the powerful computing capability to end users through the advanced business model such as SaaS, PaaS, and IaaS. IaaS can provide a convenient, flexible and pay-per-use infrastructure for PaaS and SaaS. This paper is focused on Eucalyptus — a famous open source IaaS platform. After a brief introduction to the Eucalyptus, a detailed analysis about information synchronization mechanism shows some issues of information synchronization mechanism. According to the specific scenes, we have given a reasonable solution. With this solution, Eucalyptus can automatically restore to the state before when physical machine reboot for some reason and Eucalyptus can support live migration and dynamic adjustment of the virtual machine resources. At the end of the paper, experiments show the effect of the improvement on the Eucalyptus.
{"title":"A method for improving information synchronization mechanism in Eucalyptus","authors":"Xiuqin Lin, Xiaowei Yan, Liutong Xu, Xinyang Piao","doi":"10.1109/CCIS.2011.6045058","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045058","url":null,"abstract":"Cloud computing is a fusion of network technology and traditional computer technology. It aims to deliver the powerful computing capability to end users through the advanced business model such as SaaS, PaaS, and IaaS. IaaS can provide a convenient, flexible and pay-per-use infrastructure for PaaS and SaaS. This paper is focused on Eucalyptus — a famous open source IaaS platform. After a brief introduction to the Eucalyptus, a detailed analysis about information synchronization mechanism shows some issues of information synchronization mechanism. According to the specific scenes, we have given a reasonable solution. With this solution, Eucalyptus can automatically restore to the state before when physical machine reboot for some reason and Eucalyptus can support live migration and dynamic adjustment of the virtual machine resources. At the end of the paper, experiments show the effect of the improvement on the Eucalyptus.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133275899","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045050
Jing Li, Yi-min Yang, Genping Fu
This paper proposes a new algorithm(GA-PSO) by combining genetic algorithm and particle swarm optimization to improve the accuracy of camera self-calibration based on the Kruppa equation. Firstly, the simplified Kruppa equations based on the SVD of the fundamental matrix is converted into the optimized cost function. Secondly, the minimum value of the optimized cost function is calculated by GA-PSO. Finally, the intrinsic parameters of the camera is obtained. The experimental results show that it is accurate, and the accuracy of the proposed method is obviously improved compared with the single optimization methods.
{"title":"Camera self-calibration method based on GA-PSO algorithm","authors":"Jing Li, Yi-min Yang, Genping Fu","doi":"10.1109/CCIS.2011.6045050","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045050","url":null,"abstract":"This paper proposes a new algorithm(GA-PSO) by combining genetic algorithm and particle swarm optimization to improve the accuracy of camera self-calibration based on the Kruppa equation. Firstly, the simplified Kruppa equations based on the SVD of the fundamental matrix is converted into the optimized cost function. Secondly, the minimum value of the optimized cost function is calculated by GA-PSO. Finally, the intrinsic parameters of the camera is obtained. The experimental results show that it is accurate, and the accuracy of the proposed method is obviously improved compared with the single optimization methods.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"136 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120851425","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045036
Ji Li, F. Ren
As a basic emotion resource, an emotion lexicon plays a very important role in the classification and recognition of emotion in text. This paper proposes an automatic approach to create a Chinese emotion lexicon with tag of emotion intensity based on the emotion corpus Ren-CECps 1.0. We present a new algorithm of emotion vector computation by making use of two language dictionaries Tongyici Cilin and HowNet. Comparing with the experimental results on verbs by SVM classification method, our approach is proved feasible and effective.
{"title":"Creating a Chinese emotion lexicon based on corpus Ren-CECps","authors":"Ji Li, F. Ren","doi":"10.1109/CCIS.2011.6045036","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045036","url":null,"abstract":"As a basic emotion resource, an emotion lexicon plays a very important role in the classification and recognition of emotion in text. This paper proposes an automatic approach to create a Chinese emotion lexicon with tag of emotion intensity based on the emotion corpus Ren-CECps 1.0. We present a new algorithm of emotion vector computation by making use of two language dictionaries Tongyici Cilin and HowNet. Comparing with the experimental results on verbs by SVM classification method, our approach is proved feasible and effective.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"149 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115509073","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}
Pub Date : 2011-10-13DOI: 10.1109/CCIS.2011.6045108
M. Cao, Guannan Fang, F. Ren
Emotion recognition is becoming a more and more hot topic nowadays. Many researches on facial recognition and speech recognition have been done. In this paper, we develop a method to facilitate emotion recognition with electroencephalographic (EEG) signals. The main objective of our study is to reveal the relation between emotional responses and EEG data gathered through giving seven subjects word-imagination stimuli. To induce emotions we choose 20 Chinese emotional words which have relatively high emotional intensities. We use support vector machine (SVM) and linear discriminant analysis (LDA) to recognize emotion, respectively, the average recognition rates of 48.78% and 57.04% could be achieved.
{"title":"EEG-based emotion recognition in Chinese emotional words","authors":"M. Cao, Guannan Fang, F. Ren","doi":"10.1109/CCIS.2011.6045108","DOIUrl":"https://doi.org/10.1109/CCIS.2011.6045108","url":null,"abstract":"Emotion recognition is becoming a more and more hot topic nowadays. Many researches on facial recognition and speech recognition have been done. In this paper, we develop a method to facilitate emotion recognition with electroencephalographic (EEG) signals. The main objective of our study is to reveal the relation between emotional responses and EEG data gathered through giving seven subjects word-imagination stimuli. To induce emotions we choose 20 Chinese emotional words which have relatively high emotional intensities. We use support vector machine (SVM) and linear discriminant analysis (LDA) to recognize emotion, respectively, the average recognition rates of 48.78% and 57.04% could be achieved.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129530480","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}
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