• Korean Journal of Oriental Medicine
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• v.16 no.1
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• pp.93-99
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• 2010

When researchers plan R&D projects, they usually use patent map or paper map for the objective decision-making, but in traditional korean medicine field, domestic patents and papers have been mainly proposed as results of many R&D projects, while most of patent or paper map tools support international patents and SCI papers, respectively. Therefore, as an alternative one KIOM constructed the project map which can provide the technology landscape for R&D project information in traditional korean medicine field. But the functions of the system is limited to the search and analysis with chart. So sophisticated analysis results are hard to get from the existing system. This research's goal is to upgrade the web based project map analysis system to provide researcher rich functionality and advanced analysis tools.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.123-128
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• 2010

To increase the chance of the success of project, it is necessary to identify the important factors influencing the performance of project. Cognitive map has been used for analysing by investigating causal links among relevant factors. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. Project performance is influenced by several factors such as input resources, possibility of achievement, concern of others and so on. The object of this paper is to develop the project success model of enterprise using a fuzzy cognitive map approach to investigate the degree of causal relationship between project performance and these factors.

• Journal of Forest and Environmental Science
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• v.36 no.3
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• pp.187-198
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• 2020

This study extracted deforestation area and degraded forestland area, which are potential REDD+ (Reducing Emissions from Deforestation and Forest Degradation) project candidate areas in Paraguay using Land Cover Map (LCM) and Tree Cover Map (TCM). The REDD+ project objectives scenarios were set three stages: 'afforestation and economic efficiency scenario', 'local capacity reinforcement scenario', and 'Infrastructure-oriented scenario'. And then, we evaluated the project unit suitable area of the REDD+ project. All scenarios selected the evaluation factors for each scenario in addition to the area ratio factors for deforestation area and degraded forestland area and weighted values were extracted by assigning category scores. As a result of the three scenarios comparison analysis, Concepcion state score was the highest. Within Concepcion state, the Belon district had the highest score, making it appropriate as a project unit REDD+ project candidate area in Paraguay, while the San Carlos district had the lowest score. This study can be used as basic data for selecting REDD+ project candidate area in Paraguay, and it is expected to contribute sufficiently to REDD+ project if additional data or information of social, cultural and economic sectors are secured.

• Construction Engineering and Management
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• v.18 no.2
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• pp.31-43
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• 2017

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.1-6
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• 2015

The MapReduce Program of Hadoop Distributed File System operates on any unspecified nodes due to distributed-parallel process and block replicate for data stability. Since it is difficult to guarantee the cache locality when a Solid State Drive is used as a cache in hadoop, cache hit-rate is decreased. In this paper, we suggest a method to improve cache hit rate by pre-loading the input data of the MapReduce onto the SSD cache. To perform this method, we estimated the blocks that are used on each node by using capacity scheduler and block metadata. Eventually we could increase the performance of SSD cache by loading the blocks onto SSD cache before the Map Task run.

• Genomics & Informatics
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• v.6 no.2
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• pp.91-94
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• 2008

Single nucleotide polymorphisms (SNPs) are the most abundant form of human genetic variation and are a resource for mapping complex genetic traits. A genome is covered by millions of these markers, and researchers are able to compare which SNPs predominate in people who have a certain disease. The International HapMap Project, launched in October, 2002, motivated us to start the Korean HapMap Project in order to support Korean HapMap infrastructure development and to accelerate the finding of genes that affect health, disease, and individual responses to medications and environmental factors. A Korean SNP and haplotype database system was developed through the Korean HapMap Project to provide Korean researchers with useful data-mining information about disease-associated biomarkers for studies on complex diseases, such as diabetes, cancer, and stroke. Also, we have developed a series of software programs for association studies as well as the comparison and analysis of Korean HapMap data with other populations, such as European, Chinese, Japanese, and African populations. The developed software includes HapMapSNPAnalyzer, SNPflank, HWE Test, FESD, D2GSNP, SNP@Domain, KMSD, KFOD, KFRG, and SNP@WEB. We developed a disease-related SNP retrieval system, in which OMIM, GeneCards, and MeSH information were integrated and analyzed for medical research scientists. The kHapMap Browser system that we developed and integrated provides haplotype retrieval and comparative study tools of human ethnicities for comprehensive disease association studies (http://www.khapmap.org). It is expected that researchers may be able to retrieve useful information from the kHapMap Browser to find useful biomarkers and genes in complex disease association studies and use these biomarkers and genes to study and develop new drugs for personalized medicine.

• Journal of the Korean Institute of Landscape Architecture
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• v.25 no.3
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• pp.35-46
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• 1997

The objective of this study is to investigate actual conditions of terrestrial vegetation part in Environmental impact statement, and to prepare a proposal for the efficiency of Environmental Impact Assessment. 13 E.I.S.s made out during 1996.6-1997.5. have been chosen and analysed with respect to scope of survey, item of survey, method of survey, and result of survey. Actual conditioins of terrestrial vegetation part in E.I.S. are summarized as follows : 1. The mean number of total participants in drawing up E.I.S. is 26.0 persons, that of participants in terrestrial vegetation part is 2.3 persons. 2. In case of planar project, the mean of scope of survey is 16.1 times as large as area of project . In case of linear project, the scope of survey has been determined arbitrarily. 3. The most part of survey has been dependent on literature, and field survey has been practically neglected. 4. Results of survey mostly missed the point that E.I.A. pursues. And proposals are as follows : 1. Participants in terrestrial vegetation part in drawing up E.I.S should be increased. 2. It is necessary to subdivide scope of survey in view of difference between planar project and linear project. 3. As for item and method of survey, field survey should be specially reinforced. 4. Several sheets of map as results of survey should be included in E.I.S. The vegetation map, the D.G.N. map, and the planting map should be included and drawn by smaller scale as possible.

• Spatial Information Research
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• v.5 no.1
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• pp.43-59
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• 1997

There are currently more than tens of thematic maps in Korea. Among them, there are some thematic maps which are used by one organization only by which was made, and there are common thematic maps which are used by several organizations. In this study, among many kinds of common thematic maps which are currently used, the common thematic maps which will be digitized for parts of NGIS project were chosen and the priority of project was established. After selecting five maps from the common thematic maps classified as the first ranking, current land use map, parcel-address map, administrative boundary map, urban planning map and road map, the area of CheJoo Island was digitized as a pilot project. Through the pilot project of CheJoo Island, the level of application was verified, and the method was presented in order to reduce the trial and error in the process of this production after analyzing the matter from the pilot project. The direction for digitizing common thematic maps was presented based on the result of the pilot project, in addition to, the detail plan was established after deciding the number of people needed, the amount of money spent, and the period needed for making digital maps nationwide.

• Journal of the Korea Institute of Building Construction
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• v.9 no.2
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• pp.63-68
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• 2009

Construction Performance measurement and management has been interested by construction practitioners. However, current construction project management practices are related to short-term improvement plans rather than long-term and systematic approaches based upon performance analysis. AR a result, there is a need for developing of a collaborative plan over project life cycle. Therefore, this paper reviews extensive literature and proposes the construction performance estimating model using a system dynamics. The paper proposes casual maps for planning, design, procurement, and construction phases. Each casual map includes all performance indicators and factors that impact on performance directly or indirectly. These casual maps that were developed by system thinking will enhance the understanding of the relationships among performances and factors. After further data gathering, these models can be used to estimate construction performance and eventually these will save project costs and shorten project schedule.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.251-260
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• 2016

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patent, and project reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer the further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a RDB-to-Triples transformer is implemented. Lastly, we show an experiment on R&D data integration using the lightweight ontology, triples generation, and visualization and navigation of the knowledge map.