{"title":"Transforming relational database into HBase: A case study","authors":"Chongxin Li","doi":"10.1109/ICSESS.2010.5552465","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552465","url":null,"abstract":"With the development of distributed system and cloud computing, more and more applications might be migrated to the cloud to exploit its computing power and scalability, where the first task is data migration. In this paper, we propose a novel approach that transforms a relational database into HBase, which is an open-source distributed database similar to BigTable. Our method is comprised of two phases. In the first phase, relational schema is transformed into HBase schema based on the data model of HBase. We present three guidelines in this phase, which could be further utilized to develop an HBase application. In the second phase, relationships between two schémas are expressed as a set of nested schema mappings, which would be employed to create a set of queries or programs that transform the source relational data into the target representation automatically.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125614723","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 hierarchical mixture model voting system","authors":"Z. Yinan, Guo Ping","doi":"10.1109/ICSESS.2010.5552313","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552313","url":null,"abstract":"It is important to improve voting system in current software fault tolerance research. In this paper, we propose a hierarchical mixture model voting system (HMMVS). This is an application of the hierarchical mixtures of experts (HME) architecture. In HMMVS, individual voting models are used as experts. During the training of HMMVS, an Expectation-Maximizing (EM) algorithm is employed to estimate the parameters for HME architecture. Experiments illustrate that our approach performs quite well after training, and better than single classical voting system. We show that the method can automatically select the most appropriate lower-level model for the data and performances are well in voting procedure.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117274594","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":"An Algorithm for drawing tunnel based on ObjectARX","authors":"Dongqing Wu, L. Lu, Fengjian Yang, Chaolong Zhang","doi":"10.1109/ICSESS.2010.5552419","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552419","url":null,"abstract":"Tunnel line's creation is a prominent problem in military map drawing. This paper discusses an algorithm to solve it. Algorithm was implemented based on ObjectARX. Paper also presents its applicability and limitation. Combined characteristics of tunnel line with existing relative algorithms, a new algorithm is provided. Furthermore, it discusses time complexity of algorithm. Algorithm has been applied to plug-in toolkit in a military graphics system which has gotten reputation among end users.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112866","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 project risk forecast model based on support vector machine","authors":"Ma Li-Yi, Zhang Shiyu, Ge Jian","doi":"10.1109/ICSESS.2010.5552331","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552331","url":null,"abstract":"A Project risk forecast model was investigated using least square support vector machine(LS-SVM) method. Risk estimation data of experts was acted as eigenvector of learning samples to train the constructed LS-SVM regression model for realizing mapping relationship between the risk and the characteristic. The test samples were used to compare between the constructed LS-SVM model and BP neural network. The result showed that LS-SVM model has high prediction accuracy and strong generalization ability. So it is suitable for the forecast of large scale project risk.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115222062","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 liquor industry agglomeration of Shanxi","authors":"Lin Jianshe, Hou Yajing","doi":"10.1109/ICSESS.2010.5552295","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552295","url":null,"abstract":"In recent years, the rapid development of high-end liquor brands have sprung up everywhere around China. Liquor is our traditional consumer goods, due to high profits and taxes; there is a greater contribution to the national economy. The basic features of industrial organization in the world are of similar or related industries gather in the same location, and become increasingly interdependent. Industrial agglomeration is in the form of the region industrial organization; industrial agglomeration became the mainstream of economic development. The paper summarized the current situation of Shanxi liquor industry and aim to study the Shanxi liquor industry development factors from the perspective of industrial agglomeration, definition, characteristics, and agglomeration effects.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586178","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":"Strategy and contract design in supply chain with incomplete information about quality","authors":"Weimin Ma, Yang Zhou, Yonghuang Hu","doi":"10.1109/ICSESS.2010.5552256","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552256","url":null,"abstract":"This paper considers that in a supply chain consisting of the manufacturer and supplier, how would the manufacturer choose the controlling strategy, sharing the external losses or taking them back all by himself, to optimize his own profit and maximize the supply chain's total revenue under incomplete information compared with a benchmark of the solutions under complete information. If the external loss is shared with the supplier, the contract is effective to induce the supplier to positively improve his own level of quality prevention. And the most important of all, the overall effectiveness of the supply chain is improved at the same time.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128954859","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 novel particle swarm optimization algorithm","authors":"Wang Dongyun, Zeng Ping, Li Luowei, Wang Kai","doi":"10.1109/ICSESS.2010.5552354","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552354","url":null,"abstract":"A novel particle swarm optimization (NPSO) algorithm with dynamically changing inertia weight based on fltness and iterations was presented for improving the performance of the Particle Swarm Optimization algorithm. The new algorithm was tested with three benchmark functions. The experimental results show that the swarm can escape from local optimum, and it also can speed up the convergence of particles to improve the performance.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130144988","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":"PMG-pro: A model-driven method for the development of service-based applications in a heterogenous services environment","authors":"S. Sulistyo, A. Prinz","doi":"10.1109/ICSESS.2010.5552279","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552279","url":null,"abstract":"This paper presents PMG-pro (present, model, generate and provide), a development method of service-based applications. With PMG-pro, the composition of heterogeneous pre-made services is done at model levels and thereby different executable software systems for different target platforms can be generated automatically. To illustrate the method, we present a case study of developing a service-based application in a smart home environment.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128774302","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":"Point spread function estimation for noisy out-of-focus blur image restoration","authors":"Xue-fen Wan, Yi Yang, Xin Lin","doi":"10.1109/ICSESS.2010.5552448","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552448","url":null,"abstract":"An analysis about point spread function estimation and image clarity evaluation about high-noise out-of-focus blurred image is present. The geometry and spline interpolating solving method are used for point spread function analysis. The FIR filter is adopted to provide low-fluctuating curve for interpolation. Three kinds of image clarity evaluation function are compared for iterative arithmetic selecting and results show that the methods based on Laplace transform of the image is preferred. Experimental results confirm this evaluation method is applicable for high-noise blurred image restoration.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121811603","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":"Notice of RetractionDesign and realization the MIS of general statistics based on Struts and Hibernate framework technology","authors":"BenSheng Yang, Jiantao Liu, Jinda Xu","doi":"10.1109/ICSESS.2010.5552431","DOIUrl":"https://doi.org/10.1109/ICSESS.2010.5552431","url":null,"abstract":"With the popular J2EE architecture, Using the MVC design pattern and two common framework of Struts and Hibernate in JavaWeb area, Design and implementation of comprehensive statistical information management system, and describes the system implementation process.","PeriodicalId":264630,"journal":{"name":"2010 IEEE International Conference on Software Engineering and Service Sciences","volume":"44 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125992931","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}