Wooseung Jo ¹, Tae-Hyun Kim ¹, Kwang-Nam Choi ¹, Nam Gyu Kang ¹

Affiliations
1 Korea Institute of Science and Technology Information (KISTI), Daejeon, KR

Abstract

The water supply block system is used for detecting a leakage by grouping the drainpipe network in large, medium and small blocks, and managing the maintenance of suitable fluid pressure and flow and measuring the flow of each block. As the block system of water supply was introduced, an enormous amount of flow data stream is created from the block, and the necessity to process this in real time has ensued. To resolve this necessity, this thesis reviews the method for detecting a leakage in the block in real time, using CEP (Complex Event Processing). CEP processes the events arising from multiple sources in real time, and derives a significant event. CEP is used to detect the occurrence of a leakage within the block, while observing the flow data obtained from customers in small blocks as well as the flow data of small block flow meters. Furthermore, this thesis presents the visualization tools for displaying the leakage results detected from CEP on the map.

Keywords

Block System, CEP (Complex Event Processing), Leakage Detection, Remote Reading

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Kwang-Nam Choi ¹, Nam-kyu Kang ¹, Tae-Hyun Kim ¹, Cheol-Joo Chae ¹, Hoe-Kyung Jung ², Myung-Seok Yang ¹

Affiliations
1 NTIS Center, Korea Institute of Science and Technology Information, YuSeonggu, Dae-jeon - 34141, KR
2 Department of Computer Engineering, Pai-chai University, Seogu, Dae-jeon - 35345, KR

Abstract

Objectives: To figure out how to provide analysis results on changes in research topic trends of the institute which have performed national R&D projects through a knowledge-map after analyzing the data based on national R&D projects provided by National Science & Technology Information Service (NTIS). Methods/Statistical Analysis: In a knowledge map, in general, basic data are created by extracting target data; analysis rules are applied to perform analysis. The analyzed results are stored in the result database used in a knowledge map and shown using a knowledge map tool. To analyze research topics of the research institutes, Network analysis was conducted, and results were stored through the following procedures (Step 1: Create basic data, Step 2: Analysis on the size of R&D expenses, Step 3: Analysis of association relationship, Step 4: Expression of knowledge map). Findings: The Research Topic Map was implemented to help users easily figure out changes in research fields that are they are interested in. The Research Topic Map makes it easy to figure out changes in the research topics of the research institutes performed national R&D projects. It provides primary information such as the number of the research projects involved in the user-interested national R&D programs and size of R&D expenses. In addition, it offers diverse analysis results by analyzing changes in research fields. First, according to the comparison of changes in the size R&D expenses in top R&D fields, changes in key and promising sectors are found. In addition, it is able to estimate changes in total R&D expenses. Therefore, growth factors for research institutes can be examined. Particular research fields exist depending on the characteristics of college, hospital or research institute. Users are able to check changes in research fields considering the latest trends. Since correlations among research fields can be examined, furthermore, it would be possible to figure out research trends in a convergence field. Improvements/ Applications: The Research Topic Map visualizes Topic Trends information (ex: changes in research fields, changes in R&D expenses, relationship among research fields, etc.) as well as information on the projects performed by research institutes. It is meaningful in that service users are able to get data insight on research institutes.

Keywords

Knowledge-Map, NTIS, R&D Data Insight, R&D Projects, Topic Trends.

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Tae-Hyun Kim ¹, Myung-Seok Yang ¹, Nam-Gyu Kang ¹, Kwang-Nam Choi ¹

Affiliations
1 Korea Institute of Science and Technology Information (KISTI), Daejeon, KR

Abstract

Recently, there have been a lot of studies on contents curation for the purpose of overcoming the limitations of keyword-based general retrieval services. Contents curation is a part of information services provided by curators after classifying or processing related information in order to provide optimized data which meet each user's needs and demand instead of providing information to all users under the same method. This study proposes a national R&D data-based customized information curation system which sorts out target subjects among recent science and technology news and automatically extracts and curates related national R&D data with a goal of providing user-wanted information from the perspective of national R&D.

Keywords

Contents Curation, Information Curation System, Issue, National R&D Data.

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