2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献_第5页

Node-to-set disjoint paths in substring reversal graphs 子串反转图中节点到集合的不相交路径

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930128

Sinyu Jung, K. Kaneko

引用次数: 0

A similarity model for bibliographic records using subject headings 使用主题标题的书目记录的相似性模型

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930132

S. Maneewongvatana, S. Maneewongvatana

引用次数: 3

Performance evaluation of ZFS and LVM (with ext4) for scalable storage system ZFS和LVM (ext4)在可扩展存储系统中的性能评估

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930130

Veerapat Phromchana, N. Nupairoj, K. Piromsopa

引用次数: 11

OPI model: A methodology for development metric based on outcome oriented OPI模型:一种基于面向结果的开发度量方法

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930144

Kaenchan Thammarak, Sarun Intakosum

{"title":"OPI model: A methodology for development metric based on outcome oriented","authors":"Kaenchan Thammarak, Sarun Intakosum","doi":"10.1109/JCSSE.2011.5930144","DOIUrl":"https://doi.org/10.1109/JCSSE.2011.5930144","url":null,"abstract":"Metric is extremely important for software development. It is a tool for measuring software in both quantitative and qualitative aspects. In addition, metric can be used for determining an achievement of the goals. There are some problems that bring difficulties to the design and development of software metrics. Among them, a number of software perspectives that metrics must handle and the way to apply metrics results to support business outcomes are considered important. This paper proposes OPI as a model for implementing software metrics based on business outcomes. There are three steps in this model, defining outcomes (O), defining perspectives (P), and defining indicators (I). A case study has been developed to assess the use of the proposed model. Forty undergraduate students, who have basic knowledge in software metric, use the model to develop metrics from the case study. The preliminary evaluation is based on usability aspect. The result has show that 85 percents of the students think that the model is easy to understand, where 8 and 7 percents say that it is moderate and hard respectively.","PeriodicalId":287775,"journal":{"name":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998681","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

Mining social networks of Thai researchers in IT-related areas 挖掘泰国it相关领域研究人员的社会网络

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930151

Songsri Tangsripairoj, Usanee Sripirom

{"title":"Mining social networks of Thai researchers in IT-related areas","authors":"Songsri Tangsripairoj, Usanee Sripirom","doi":"10.1109/JCSSE.2011.5930151","DOIUrl":"https://doi.org/10.1109/JCSSE.2011.5930151","url":null,"abstract":"This research focuses on the study of social networks of Thai researchers that conducted research in the computer science and information technology fields and submitted their works to two conferences which are the International Joint Conference on Computer Science and Software Engineering (JCSSE) and the National Computer Science and Engineering Conference (NCSEC) between 2005 and 2008. The bibliographical data which appeared in their research was extracted for database construction. The principle of Social Network Analysis was applied for data analysis in order to find relationships between researchers, research topic categories, conferences and years in which they were organized. The data analysis enables users to know which researchers in Thailand conducted their research in what area, to which academic institutes they were attached, and who were their co-authors. In addition, the analysis result also allows users to see trends of research topics of Thai researchers. It was hoped that as a result of this analysis, the derived database will be useful for people who wish to search for research data in areas in which they are interested. Similarly, government agencies working on the promotion and support of research work will be informed of research trends in Thailand so as to speed up work in support of conducting research in significant areas or those in which the country is lacking.","PeriodicalId":287775,"journal":{"name":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132799558","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

Nebular: A sentiment classification system for the tourism business 星云:旅游业务的情感分类系统

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930137

Srisupa Palakvangsa-Na-Ayudhya, Veerapat Sriarunrungreung, Pantipa Thongprasan, Satit Porcharoen

{"title":"Nebular: A sentiment classification system for the tourism business","authors":"Srisupa Palakvangsa-Na-Ayudhya, Veerapat Sriarunrungreung, Pantipa Thongprasan, Satit Porcharoen","doi":"10.1109/JCSSE.2011.5930137","DOIUrl":"https://doi.org/10.1109/JCSSE.2011.5930137","url":null,"abstract":"Due to the rapid growth of the tourism industry around the globe, tourists tend to find information of interesting attractions via available search engines. With the rapid growth of Web 2.0 in the past few years, tourists generally share their experiences through travel social network websites (Travel 2.0) such as TripAdvisor, VirtuaiTourist and Yahoo Travel. These websites have become major sources of information for tourists; however, due to the amount of available opinionated text, tourists are often overwhelmed with information. As a consequence, tourists find it extremely difficult to obtain any useful comments to make a decision regarding their travel destinations. The Nebular system is therefore proposed to classify comments gathered from available travel social network websites into predefined aspects and further analyze comments into positive and negative sentiments. This system aims to assist tourists to easily extract subjective information from travel social network websites and determine the attitude and the overall tonality of writers in the traveling domain. This can reduce the time required in searching for related information as well as easily support the growth of the tourism industry around the world.","PeriodicalId":287775,"journal":{"name":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130826605","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: 13

Efficient large Pearson correlation matrix computing using hybrid MPI/CUDA 使用混合MPI/CUDA高效的大型Pearson相关矩阵计算

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930127

E. Kijsipongse, S. U-ruekolan, C. Ngamphiw, S. Tongsima

{"title":"Efficient large Pearson correlation matrix computing using hybrid MPI/CUDA","authors":"E. Kijsipongse, S. U-ruekolan, C. Ngamphiw, S. Tongsima","doi":"10.1109/JCSSE.2011.5930127","DOIUrl":"https://doi.org/10.1109/JCSSE.2011.5930127","url":null,"abstract":"The calculation of pairwise correlation coefficient on a dataset, known as the correlation matrix, is often used in data analysis, signal processing, pattern recognition, image processing, and bioinformatics. With the state-of-the-art Graphic Processing Units (GPUs) that consist of massive cores capable to do processing up to several Gflops, the calculation of correlation matrix can be accelerated several times over traditional CPUs. However, due to the rapid growth of the data in the digital era, the correlation matrix calculation becomes computing intensive which needs to be executed on multiple GPUs. As of now, GPUs are common components in data center at many institutions. Their GPU deployment tends towards a GPU cluster which each node is equipped with GPUs. In this paper, we propose a parallel computing based on the hybrid MPI/CUDA programming for fast and efficient Pearson correlation matrix calculation on GPU clusters. At coarse grain parallelism, the correlation matrix is partitioned into tiles which are distributed to execute concurrently on many GPUs using MPI. At fine grain level, the CUDA kernel function on each node performs massively parallel computing on a GPU. To balance load across all GPUs, we adopt the work pool model which there is a master node that manages tasks in the work pool and dynamically assign tasks to worker nodes. The result of the evaluation shows that the proposed work can ensure the load balance across different GPUs and thus gives better execution time than using a simple static data partitioning.","PeriodicalId":287775,"journal":{"name":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"46 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121421095","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: 28

3D Shot course estimation system for tactics analysis support of handball games 手球运动战术分析支持的三维击球轨迹估计系统

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930098

A. Abe, I. Shimizu

引用次数: 0

Scan conversion for Bézier curve using degree elevation technique 利用仰角技术对bsamzier曲线进行扫描转换

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930123

Chitsanuphong Thanutong, N. Dejdumrong

引用次数: 2

Towards a complete project oriented risk management model: A refinement of PRORISK 走向一个完整的面向项目的风险管理模型:PRORISK的细化

2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2011-05-11 DOI: 10.1109/JCSSE.2011.5930146

Boriwat Suebkuna, Sakgasit Ramingwong

引用次数: 4