{"title":"A Distributed Power-Saving Topology Management Scheme in Green Internet","authors":"Jinhong Zhang, Xingwei Wang, Min Huang","doi":"10.1109/DCABES.2015.61","DOIUrl":"https://doi.org/10.1109/DCABES.2015.61","url":null,"abstract":"In a context of explosive development in Internet scale and excessive underutilization of a large number of network elements, the power consumption issues of the current Internet have become hot subjects extensively concerned by ICT (Information and Communication Technology) sector and research institutions in recent years, which even further lead to the severe economic issues and intractable environmental issues. On the basis of above circumstances, a Distributed Power-saving Topology Management Scheme (DPTMS) is devised to achieve power saving for current Internet in the paper. After introducing the network model and power model, we describe the design of DPTMS including four modules: traffic prediction module, information awareness model, distributed topology decision-making module and sleeping control module. In the simulation and evaluation, DPTMS is compared with GRiDA as for network power consumption and network performance, which shows it is feasible and effective for a power-saving topology management.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125227336","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 and Implementation of Production Rapidly Design and Simulation Verification System Framework","authors":"Fangjing Guan, Haitang Zhu, Zhifeng Tian","doi":"10.1109/DCABES.2015.68","DOIUrl":"https://doi.org/10.1109/DCABES.2015.68","url":null,"abstract":"The system framework applied to multi-type and multi-industry product rapid design simulation is presented. Firstly, the common problems in designing and simulation are briefly introduced, and the detailed solutions are given. Then, according to these problems, we build the construction of the system and list a detailed system framework, the main function and its realization are introduced in detail. Finally, the practicability and expansibility of the system are verified by specific application.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130928288","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}
Shuaifei Chen, Xin Lv, Lin Yu, Yingchi Mao, Longbao Wang, Hongxu Ma
{"title":"A Similarity Model Based on Trend for Time Series","authors":"Shuaifei Chen, Xin Lv, Lin Yu, Yingchi Mao, Longbao Wang, Hongxu Ma","doi":"10.1109/DCABES.2015.115","DOIUrl":"https://doi.org/10.1109/DCABES.2015.115","url":null,"abstract":"This paper presents a time series similarity matching model based on trend meeting the people's intuitive sense of trends characterize similarity. At the same time, the concept of similarity value is introduced in order to display the similarity of time series in a more intuitive form. In this model, the original time series are segmented according to the time series segmentation algorithm based on significant points. Each sub-section of the time series are mapped to a two-dimensional vector according to the slope and time span, and then symbolic the two-dimensional vector and calculate the distance between two time series of strings. Finally according to similarity calculation formula proposed, obtain the similarity value between the two time series. Experimental results show that the time series similarity matching model is good. In the aspect of similarity matching, the applicability, high efficiency.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132907389","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 and Implementation of Logistics Information Management System Based on Web Service","authors":"Hua Jiang, Yuman Li, Hua Fang","doi":"10.1109/DCABES.2015.40","DOIUrl":"https://doi.org/10.1109/DCABES.2015.40","url":null,"abstract":"The paper provides the software architecture, design method and implementation techniques for a Web service-based logistics information system which is based on Browser, Web Server, Application Server, Data Structure. An example is given to illustrate how to fulfill the communication between the server and the client.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117265143","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":"Study on the IOT Architecture and Gateway Technology","authors":"Chang-le Zhong, Zhen Zhu, Ren-gen Huang","doi":"10.1109/DCABES.2015.56","DOIUrl":"https://doi.org/10.1109/DCABES.2015.56","url":null,"abstract":"There are disadvantages in the practical application with Three-layer architecture of IOT (Internet of Things). In order to emphasize the level of IOT intelligent application, this paper introduces the five layers system architecture which can better interpret the meaning and features of the IOT, and discusses the gateway technology which connecting the sensing network and traditional communication network. According to the actual demand of hotel chain industry for improving guests' living environment, the paper also discusses the design of IOT application scheme with using the IOT gateway as a bridge. The scheme may effectively meet the service requirements of hotel chain industry.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"102 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125979059","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":"Constructing Kernels for One-Class Support Vector Machine","authors":"Bin Zhang, Jiagang Zhu, Haobing Tian","doi":"10.1109/DCABES.2015.123","DOIUrl":"https://doi.org/10.1109/DCABES.2015.123","url":null,"abstract":"OCSVM (one-class support vector machine) is a variant of SVM which only use positive class sample set in training. Since only positive samples can be used in OCSVM, Fully exploiting and using the features of the training samples is of great significance to improve its classification performance. Thus, two aspects of study on kernels have been done in this paper: first, we propose a kernel constructing method called WFCD (weighted feature-contribution-degree) kernel constructing method, in which a PCA (principal component analysis) is performed to the training samples to obtain a vector set with the dimension being sorted by corresponding Eigen values and then using this vector set to apply a weighed kernel method to concentrate on the larger Eigen value dimensions, second, we employ the Fisher kernel in OCSVM to decide whether a kernel constructed based on the training sample set has better performance. Experimental results on UCI standard data sets indicate that our method outperforms the general kernel methods and promotes the classification effect considerably.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127225632","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":"Bank Partitioning Based Adaptive Page Policy in Multi-core Memory Systems","authors":"Juan Fang, Jiajia Lu, Min Cai","doi":"10.1109/DCABES.2015.67","DOIUrl":"https://doi.org/10.1109/DCABES.2015.67","url":null,"abstract":"With DRAM memory systems power consumption growing and performance declining, memory system optimization is imperative. At present most studies focus on reducing power consumption or improving performance of DRAM chips, but rarely do both. In this paper, we propose the bank partitioning based adaptive page policy to optimize both performance and power efficiency of DRAM chips, while at the same time reduce the inter-thread interference. First, we use bank partitioning to isolate memory streams of different threads. Second, we put forward an adaptive page policy to dynamically allocate the optimal page policy for each bank. Experimental results show that our scheme improves the system performance by 20.4% on average (up to 55%) and reduces DRAM power by 8% on average (up to 29%) for all workloads.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130131263","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 Falling Range Prediction Model of Lost Plane","authors":"Kaiyin Zhang, Min-Lam Lan, Yan Huang, Yuguang Li","doi":"10.1109/DCABES.2015.106","DOIUrl":"https://doi.org/10.1109/DCABES.2015.106","url":null,"abstract":"It is very important for searcher to predict the lost plane falling rang. The motion equation of lost plane is built with additional mass and random force, and solved by using difference method abd random number, the trajectory is calculated by using integral method, the lost plane falling rang is determined by using probability distribution contour map.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130152763","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":"Collaborative Filtering Recommendation Algorithm Based on MDP Model","authors":"W. Xingang, Liu Chenghao","doi":"10.1109/DCABES.2015.35","DOIUrl":"https://doi.org/10.1109/DCABES.2015.35","url":null,"abstract":"Collaborative filtering, which makes personalized predictions by learning the historical behaviors of users, is widely used in recommender systems. It makes the prediction and recommend by similarity of users, and it can handle the various work. But the traditional collaborative filtering ignores the connection of users and items. Affect the recommendation's results. To find similar users by measuring the customer relationship between the neighbors can improve the accuracy of prediction user interests'. Then it can improve the accuracy of the recommendation. So collaborative filtering recommendation algorithm based on MDP model is proposed. It can find the connection of users purchase and next purchase. So it can predict users next purchase. Then can recommend items to users. The test results shows the algorithm of this paper have more accuracy.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125487840","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":"Image Segmentation Method Combines MPM/MAP Algorithm and Geometric Division","authors":"Ling Yong-fang, Shu Heng","doi":"10.1109/DCABES.2015.90","DOIUrl":"https://doi.org/10.1109/DCABES.2015.90","url":null,"abstract":"A novel image segmentation algorithm based on a Bayesian framework is studied in this paper. We presents a new region and statistics based approach, which combines Voronoi tessellation technique and Maximum a posterior / Maximization of the posterior marginal (MAP /MPM) algorithm. The image domain is partitioned into a group of sub-regions by Voronoi tessellation, each of which is a component of homogeneous regions. And the image is modeled on the supposition that the intensities of pixels in each homogenous region satisfy an identical and independent gamma distribution. The initial segmentation is applied to obtain number of the initial motions and the corresponding initial parameters of the image model. Then the parameters are updated by using the given parameter estimation method. A fast estimation procedure for the posterior marginals is added to the MAP algorithm. The experiment results show that the proposed algorithm here is effective.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"25 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126651364","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}