{"title":"Cloud storage service in digital campus","authors":"Yun Peng, Yu J. Zhang, Xiong Lv, Liao Bi","doi":"10.1109/ICSESS.2013.6615318","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615318","url":null,"abstract":"With the development of information technology, the research of digital campus faces more and more new challenges and opportunities. The construction of digital campus is now focusing on the development of personal digital spaces, personal interactive information systems, and open platforms for interactive participation and knowledge sharing. Being the foundation of the digital campus infrastructure, cloud storage service supports the storage, synchronization and sharing of mass data in a fast and secure way. In this paper we illustrate the contents and implementation of cloud storage service in digital campus.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114817318","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":"Towards set-oriented recursive XML query in pattern-based logic views","authors":"Peng Wen, Shi Ying, Xuhui Li, Libing Wu, Rui Cai","doi":"10.1109/ICSESS.2013.6615250","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615250","url":null,"abstract":"Recursive query is an interesting and subtle topic in XML query. Existing XML query languages often resort to recursive function or recursive predicate to present recursive XML query. However, this approach implicitly adopts a tuple-oriented way to query processing which is not fit for the set-oriented data processing in databases. In this paper, we propose a new approach to presenting recursive XML query in a pattern-based logic view named CDV. CDV deploys conjunctive and disjunctive operators to compose tree-like patterns, which can expressively specify the logic semantics in XML elements. With the assistance of the descendant operator, the syntactic and semantic mechanisms of CDV, the recursive XML query can be easily presented in a set-oriented way. We demonstrate the usage and advantage of the CDV in typical recursive queries.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876907","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":"Typical characteristics of cloud GIS and several key issues of cloud spatial decision support system","authors":"Zhihui Liu","doi":"10.1109/ICSESS.2013.6615395","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615395","url":null,"abstract":"In order to realize sharing and collaboration of spatial data and spatial analysis models, typical characteristics of cloud GIS are described. As a good solution of cloud GIS, ArcGIS server is introduced. On the basic, function structure of spatial decision support system based on ArcGIS Cloud (ACSDSS) is designed. Then, several key issues are studied, including publishing spatial data and analysis models, service query, ontology construction, services optimal-selection, the procedure of spatial data and models composition. It provides theoretical support for the realization of efficient and intelligent Cloud Spatial Decision Support System.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"33 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114631185","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":"A BitTorrent topology measurement system","authors":"Ce Wang, Hongli Zhang, Majing Su","doi":"10.1109/ICSESS.2013.6615307","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615307","url":null,"abstract":"BitTorrent (BT) is a widely used P2P file-sharing system, and its performance is a hot research topic. It is important to design an efficient BT topology measurement system for BT performance research. Some studies use the BT clients to collect the information of BT topology, which may be incomplete due to their limitation. In this paper, combining the passive and active approaches, we design a BT topology measurement system. We evaluate the peer coverage ratio by comparing the number of nodes achieved by the measurement system with that registered to the tracker. And we evaluate the connection coverage ratio by comparing the connection number extracted from PEX messages with that of BT clients. The results show that the average peer coverage ratio can reach above 95%, which is much higher than that of μTorrent, and the connection coverage ratio reaches above 90%. Overall, the performance of our measurement system is better than that of BT clients.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114894026","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":"Network mobility solution based on predictive fast handover in PMIPv6 domain","authors":"Wei Tang, Hongbo Tang, Lu Chen","doi":"10.1109/ICSESS.2013.6615377","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615377","url":null,"abstract":"In this paper, a novel NEtwork MObility(NEMO) solution based on predictive fast handover is proposed to solve the problem of long handover delay and lack of effective inter-domain handover scheme in Proxy Mobile IPv6(PMIPv6) network. With the help of L2 scheme ,NEMO can perform pre-handover before getting registered so that relevant information is acknowledged in advance. Inter-domain handover is supported by extending signaling messages to make entities communicate between different domains. The packet loss problem is eliminated by introducing double buffering scheme. Analysis and simulation shows that this solution can reduce the delay during handover and improve communication efficiency.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115053675","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":"Product configuration method based on ontology mapping","authors":"Jing Chen, Yang Cheng, Dawei Nie","doi":"10.1109/ICSESS.2013.6615264","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615264","url":null,"abstract":"Customer requirement has the characteristics of vagueness, incompleteness and time -varying. An ontology model of product family case and customer fuzzy requirement was constructed by using sharing and reusability of ontology on semantic layer. The fuzziness of customer requirement was expressed by introducing the fuzzy ontology of linguistic variables; The incompleteness of customer requirement was solved by introducing the rules of ontology and constructing ontology rule base; The time -varying of customer requirement was solved by normalizing parameter of customer requirement and product family. It used multi -strategy ontology mapping method to achieve matching between customer requirement ontology and product family case ontology to realize product configuration based on customer requirement. Finally, the computer product configuration is taken as an example to verify the feasibility of this approach.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123974302","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":"A context-aware matrix factorization recommender algorithm","authors":"Yao-ning Fang, Yun-fei Guo","doi":"10.1109/ICSESS.2013.6615454","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615454","url":null,"abstract":"Latent factor models based on matrix/tensor factorization techniques are widely recognized in recommender systems. However, matrix/tensor factorization techniques are computationally intensive, which greatly limits their usages in real world projects. To address this problem, we improve the classic matrix factorization models by establishing fuzzy mapping relationships between contexts and latent factors, and making use of contextual information to initialize user/item feature vectors. Experimental results on standard test set MovieLens 1M show that the proposed algorithms could achieve far better prediction accuracy while reducing the iteration number by 25%.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125853393","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":"A new approach to vehicle positioning based on region of interest","authors":"Yuehong Feng, Cangju Xing","doi":"10.1109/ICSESS.2013.6615351","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615351","url":null,"abstract":"An effective approach to vehicle detection based on region of interest is proposed. Initially, an excellent approach to region of interest determination is proposed through analyzing videos. It can eliminate environmental interference, and a region of interest with only vehicle and road is obtained. The method not only reduces the search range, but also eliminates a lot of false targets, so the follow-up vehicle location determination becomes very simple. Then, the potential vehicles are obtained by the shadow of vehicle and features of black tire. The experiments show that the method is simple and high accuracy, to meet the needs of daily aided driving.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124593852","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 fault diagnosis method of steam turbine generator unit based on multilayer information fusion","authors":"Gao Junru","doi":"10.1109/ICSESS.2013.6615478","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615478","url":null,"abstract":"Based on the idea of Multilayer information fusion technology, and from the reality of equipment fault diagnosis, We established neural network evidence fusion fault diagnosis system which is based on information fusion technology. Neural network has good nonlinear mapping ability, and d-s evidence theory has unique advantages in the expression of uncertainty. Both of the two methods have been widely used in the field of fault diagnosis. That is, through the effective combination of the fault feature information, use the seeds of neural network from different sides for equipment fault diagnosis of preliminary, then applying the preliminary diagnosis to Dempster - Shafer theory evidence for decision fusion. The diagnosis example indicates that, after fault feature information fusion, the credibility of the diagnostic increased significantly, and can effectively improve the diagnosis rate.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128419998","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}
Sichun Zhang, Liehui Jiang, Xiaojuan Zhang, Xiaolong Hu
{"title":"Hardware software co-design of pipelined instruction decoder in system emulation","authors":"Sichun Zhang, Liehui Jiang, Xiaojuan Zhang, Xiaolong Hu","doi":"10.1109/ICSESS.2013.6615276","DOIUrl":"https://doi.org/10.1109/ICSESS.2013.6615276","url":null,"abstract":"System emulation based on dynamic binary translation can solve the problems of compatibility between heterogeneous architectures. Study on this field is mostly based on software, the efficiency is very low and restricting the performance of X86 system emulator. This paper presents hardware software co-design of pipelined instruction decoder to avoid the inefficiency of system emulator based on software. The decoder is controlled by the software unit and supported by the hardware unit via cross-programing. Compared to system emulator based on software, the average speedup of pipelined instruction decoder achieves 5.2 and there is a significant performance improvement on system emulation.","PeriodicalId":223115,"journal":{"name":"2013 IEEE 4th International Conference on Software Engineering and Service Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128475765","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}