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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems最新文献

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Optimal packet fragmentation scheme for reliable and energy-efficient packet delivery in 6LoWPAN 6LoWPAN中最优的数据包分片方案，实现可靠和节能的数据包传输
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664554
Jing Peng, Kaikai Chi, Yi-hua Zhu, J. Wang
{"title":"Optimal packet fragmentation scheme for reliable and energy-efficient packet delivery in 6LoWPAN","authors":"Jing Peng, Kaikai Chi, Yi-hua Zhu, J. Wang","doi":"10.1109/CCIS.2012.6664554","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664554","url":null,"abstract":"6LoWPAN is the protocol defined to deliver IPv6 packets over low-power wireless personal area networks (WPANs), in which each IPv6 packet is divided into multiple fragments suitable for being carried in an IEEE 802.15.4 frame. Route-over routing (ROR) and mesh-under routing (MUR) are the two schemes presented by 6LoWPAN working group. In this paper, the optimal fragmentation schemes are proposed to improve the end-to-end packet delivery rate (PDR) and reduce energy consumption in packet delivery for ROR and MUR. The proposed schemes are able to find the optimal number of fragments so that energy consumption is minimized while keeping PDR larger than a preset probability. Numerical results show that the proposed schemes are energy efficient while guaranteeing the preset PDR.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128111734","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 metric for measuring web search results satisfaction incorporating user behavior 一种衡量网络搜索结果满意度的指标，包含用户行为
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664241
Jinxiu Yu, Yueming Lu, Fangwei Zhang, Songlin Sun
{"title":"A metric for measuring web search results satisfaction incorporating user behavior","authors":"Jinxiu Yu, Yueming Lu, Fangwei Zhang, Songlin Sun","doi":"10.1109/CCIS.2012.6664241","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664241","url":null,"abstract":"The evaluation of web search results for improving the performance of search engine is a serious challenge. This paper proposes a new metric for measuring web search results satisfaction incorporating user behavior. We investigate hundreds of users' behavior when they browse the result lists returned by search engine, as well as their perspective. The experimental results show that the metric achieves a more satisfying search results than the traditional metrics.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128173542","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
Research and implementation of a role-based trustworthiness mechanism for IaaS 基于角色的IaaS信任机制的研究与实现
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664419
Xu Wu, Xiaqing Xie, Chunwen Li
{"title":"Research and implementation of a role-based trustworthiness mechanism for IaaS","authors":"Xu Wu, Xiaqing Xie, Chunwen Li","doi":"10.1109/CCIS.2012.6664419","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664419","url":null,"abstract":"Despite the advantages brought by cloud computing, security issues have emerged as one of the most significant barrier to faster and more widespread adoption of it. Therefore, this paper focused on the trustworthiness of infrastructure as a service (IaaS) and proposed a role-based trustworthiness mechanism to ensure that the different roles in IaaS architecture are trusted. What's more, this paper also considered the interactions between different roles in cloud environment and designed relevant validation protocols. Our experiments also show that this trustworthiness mechanism is practical in terms of performance.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134253217","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
An algorithm of MAC-based network coding for Butterfly wireless networks 蝴蝶无线网络基于mac的网络编码算法
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664552
Xianzhong Tian, Q. Zhou, Zhen Cheng
{"title":"An algorithm of MAC-based network coding for Butterfly wireless networks","authors":"Xianzhong Tian, Q. Zhou, Zhen Cheng","doi":"10.1109/CCIS.2012.6664552","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664552","url":null,"abstract":"Network coding is a new technique which appeared in recent years. By employing the inherent broadcast nature of the wireless channel, it can achieve higher network throughput in wireless networks. Butterfly network model depicts the basic component unit of wireless local area networks (WLANs). In this paper, we propose an algorithm of MAC-based network coding specific to Butterfly networks - MBNC (MAC-Based Network Coding). According to the differences of numbers of the buffered packets for upstream flows in the coding node's FIFO output queue, it can increase coding opportunity as largely as possible by dynamically adjusting the contention windows of the MAC layers of upstream nodes, thus improves network performance. Performance analysis and simulation test proved that MBNC can greatly improve network throughput.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133460322","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
HMM-based Tri-training algorithm in human activity recognition with smartphone 智能手机人体活动识别中基于hmm的三训练算法
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664378
B. Xie, Qing Wu
{"title":"HMM-based Tri-training algorithm in human activity recognition with smartphone","authors":"B. Xie, Qing Wu","doi":"10.1109/CCIS.2012.6664378","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664378","url":null,"abstract":"With the popularity of smartphone, studies using sensors on smartphone have been investigated in recent years. Human activity recognition is one of the active research topics. User's context can be used for providing users the adaptive services and the advice about health based on a stream of activity data. In this paper, we introduce a HMM-based Tri-training algorithm. The Tri-training algorithm can automatically augment activity classifiers after they are deployed in a real environment. HMM model can use the relationship between previous and current states to help Tri-training algorithm chooses new samples for training set. This method can explicitly reduce the amount of noise introduction into classifier group and make the output state stream connect more smoothly.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133885585","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: 9
User influence analysis on micro blog 微博用户影响力分析
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664630
Yong Zhang, J. Mo, Tingting He
{"title":"User influence analysis on micro blog","authors":"Yong Zhang, J. Mo, Tingting He","doi":"10.1109/CCIS.2012.6664630","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664630","url":null,"abstract":"In this paper, we investigate features and propose a method to identify influential users on Sina-Weibo, one of the most famous micro-blogging services in China. We first investigate features such as users' follower number distribution, relation between Weibo number and follower number and analysis of user interaction. Due to the existing methods are not very comprehensive in measuring the influence of user, we propose a new model. In which, we take the three basic actions: following, retweeting and commenting into consideration. Based on the weight and networks of them, we construct a weighted network, then employ Weighted PageRank and Hypertext Induced Topic Selection algorithm to calculate user influence. Compared with other two methods, the experiment results suggest that our model offers a new way to identify influential user, and it is more comprehensive and stable than the other two.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"344 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993939","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: 8
PCA-based dimensionality reduction method for user information in Universal Network 基于pca的通用网络用户信息降维方法
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664370
Yu Dai, Jianfeng Guan, Wei Quan, Changqiao Xu, Hongke Zhang
{"title":"PCA-based dimensionality reduction method for user information in Universal Network","authors":"Yu Dai, Jianfeng Guan, Wei Quan, Changqiao Xu, Hongke Zhang","doi":"10.1109/CCIS.2012.6664370","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664370","url":null,"abstract":"Universal Network (UN) is one kind of future Internet architecture. The collection and analysis of user information is a core in the management system of UN. However, users' high-dimensional data affects the performance greatly because it brings in a long response delay when matching user information with strategy rules. An efficient dimensionality reduction method is important to improve the matching efficiency on high-dimensional data. This paper introduces a statistic computational method based on Principal Component Analysis (PCA) for the reduction of user information. The method converts multiple indicators into fewer overall indicators by taking the advantage of the relations among attributes. Then, we apply this algorithm in the user information management system of UN and make several experiments to evaluate and analyze its performance. Experimental results show that the time of querying and matching is reduced by the proposed method on the condition of not losing much information of original attributes. It proves that this method reduces the dimension effectively and can be applied in the high-dimensionality user information management system.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127833240","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: 5
The comparison of particle filter and extended Kalman filter in predicting building envelope heat transfer coefficient 粒子滤波与扩展卡尔曼滤波在建筑围护结构传热系数预测中的比较
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664639
Xiaoqin Wang, Xiaolong Wang
{"title":"The comparison of particle filter and extended Kalman filter in predicting building envelope heat transfer coefficient","authors":"Xiaoqin Wang, Xiaolong Wang","doi":"10.1109/CCIS.2012.6664639","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664639","url":null,"abstract":"The building envelope heat transfer coefficient is an important measurement of building energy efficiency. The detection of the heat transfer coefficient is always impacted by surrounding environment and noises. Meanwhile it is impractical to accumulate rich enough data as input to calculate the heat transfer coefficient. The Particle Filter (PF) and Extended Kalman Filter(EKF) are employed in this paper in predicting the heat transfer coefficient based on the temperature control box-heat flow model. With the comparison of the two predicted values with the real measured one, the Particle Filter shows high efficiency and better accurate than Extended Kalman Filter. The simulation results show that the accuracy of PF is high. The budget result of PF is more close to the real values. Then the estimated calculation according to Particle Filter is used to calculate wall body heat transfer coefficient.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115923314","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
Towards a collaboration cloud for astronomical observations 迈向天文观测的协作云
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664422
Yongzheng Ma, Xiaomeng Lu, Z. Shao, Hongwei Yang, Kai Nan
{"title":"Towards a collaboration cloud for astronomical observations","authors":"Yongzheng Ma, Xiaomeng Lu, Z. Shao, Hongwei Yang, Kai Nan","doi":"10.1109/CCIS.2012.6664422","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664422","url":null,"abstract":"With the rapid spreading of the high-speed network, the application of many advanced technologies in large astronomical telescopes, and the progress in Internet-based scientific collaboration platform, it is possible for astronomers to collaboratively use several large astronomical telescopes located thousand miles apart. In this paper, we propose a collaboration cloud for astronomical observations, Astronomical Virtual Laboratory (AVLAB), which is based on the Duckling software, an open-source scientific collaboration platform. By AVLAB, astronomers can collaboratively operate several astronomical telescopes distributed over different observation stations and get the observation images immediately. AVALB was used for collaboratively observing a fast varying celestial object, S5 0716+714, with the 2.16-m telescope located at Xinglong observation station and the 1.56-m telescope located at Sheshan observation station in China.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117050951","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
A new algorithm for multi-mode recommendations in social tagging systems 社会标签系统中多模式推荐的新算法
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664264
Tan Yang, Yidong Cui, Yuehui Jin, Maoqiang Song
{"title":"A new algorithm for multi-mode recommendations in social tagging systems","authors":"Tan Yang, Yidong Cui, Yuehui Jin, Maoqiang Song","doi":"10.1109/CCIS.2012.6664264","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664264","url":null,"abstract":"Social tagging is one of the most important characteristics of web 2.0 services. Different from traditional recommendation algorithms, in social tagging systems, recommendation algorithms involve the ternary relations between users, items and tags. And algorithms that support integrated multi-mode recommendations are very appealing. We propose a multi-mode recommendation algorithm based on higher-order singular value decomposition, and our algorithm handles not only the existing triplets {user, item, tag}, but also the pairs {user, item} with no tags in social tagging system. Meanwhile. We propose a measure for user recommendations. We empirically show that our algorithm outperforms a state-of-the-art algorithm for multi-mode recommendations with a Last.fm dataset.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115175115","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: 3
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