• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.2
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• pp.1-19
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• 2014

Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

• Journal of the Korean Society for information Management
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• v.2 no.2
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• pp.3-37
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• 1985

This research deals with the problems encountered in designing systems for more efficient and effective information retrieval used in the proliferation of literature. This research was designed to develop and test 1) the partitioning a large bibliographic data base into quality oriented subsets (quality filtering), and 2) a system for effective and efficient information retrieval within subsets of data base (relevance). In order to accomplish this partitioning, the 'kernel' technique of graph theory was applied. In addition, a method of quality filtering utilizing the 'epidemic' theory and the 'obsolescence' of scientific literature was developed.

• Journal of the Korean Society for information Management
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• v.3 no.1
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• pp.3-16
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• 1986

This research deals with the problems encountered in designing systems for more efficient and effective information retrieval used in the proliferation of literature. This research was designed to develop and test 1) the partitioning a large bibliographic data base into quality oriented subsets (quality filtering), and 2) a system for effective and efficient Information retrieval within subsets of data base (relevance). In order to accomplish this partitioning, the 'kernel' technique of graph theory was applied. In addition, a method of quality filtering utilizing the 'epidemic' theory and the 'obsolescence' of scientific literature was developed.

• Journal of Conservation Science
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• v.37 no.4
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• pp.391-401
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• 2021

Outdoor sculptures of modern art works are being damaged and deteriorated as they are exposed to the outdoor environment due to the nature of exhibition in the outdoor environment, but secure of basic data through the measures for conservation and advanced researches still remain in the early stage. The surface of "Conversion" which is exhibited in the Busan Cheonmasan Sculpture Park has been exfoliated and deteriorated due to outdoor exhibition for a long time, so systematic conservation and management of works are considered necessary. Prior to the conservation and management, this study conducted observation of cross section, analysis of inorganic components, FT-IR, Raman and Py-GC/Mass analysis to examine the nature and type of paints used for the work through a scientific analysis. As a result of analysis, paints used for the "Conversion" include paint mixed with silvery aluminium powder and white pigment, reddish paint mixed with toluidine red, bluish paint that mixed prussian blue and titanium white and mixture of phthalocyanine blue and titanium white. The result is expected to be used as basic data for selecting materials necessary for conservative treatment of and establishing a plan for conservative treatment of the "Conversion".

• Nutrition Research and Practice
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• v.16 no.sup1
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• pp.1-10
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• 2022

BACKGROUND/OBJECTIVES: The Dietary Reference Intakes for Koreans (KDRIs) were revised in 2020. Due to the rapidly aging Korean population, special consideration was given to reclassify the KDRI age group categories of older adults. This article examines the evidence for modifying the current KDRI age group ranges of older adults (65-74 and ≥ 75 yrs). SUBJECTS/METHODS: We first reviewed the domestic and international data on the elderly, following which we received expert opinions on age classification from the KDRI Advisory Committee. Finally, the 6th and 7th (2013-2017) Korea National Health and Nutrition Examination Survey (KNHANES) data were used to analyze the nutritional intake statuses by considering the age of older adults. RESULTS: According to the review results of domestic and international data and the inputs received from the expert advisory committee, the minimum age considered for the elderly was maintained at 65 yrs. However, the KNHANES data was analyzed to review whether there was a need to subdivide the later periods. Examining the differences in nutrient intakes by age group through the interaction effect term of the piecewise linear regression model revealed the interaction effect was maximum in the groups divided by 65 yrs (50-64 and 65-80), as compared to the groups divided by 70 yrs (50-69 and 70-80) and 75 yrs (50-74 and 75-80). The mean adequacy ratio was calculated per 1 yr of age, and a 3-yr (age) moving average analysis was performed to examine the change in the trends of overall nutrient intake. However, it was challenging to secure a scientific basis for subdivision into age groups in older adults from the results obtained. CONCLUSIONS: This study could not find any scientific evidence for modifying the KDRI age groups for older adults.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.220-229
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• 2020

With the recent development of digital technology, the research paradigm is evolving towards data-driven. National management and utilization of research data is a key element not only to enhance research transparency and efficiency, but also to prepare for a data-driven society. Policies and infrastructure for sharing and utilization of research data from publicly-funded research are being actively promoted worldwide. In Korea, related regulations were recently revised to mandate to submit a data management plan (DMP) when proposing a national R&D project. In order to effectively implement the sustainable DMP system, researchers need various support. In addition, guidelines and implementation procedures are essential for management and utilization of research data at the national or institutional level. In this paper, we provide an overview of the data management plan, examine the current status and issues in Korea, and suggest a template and checklists of data management plan, and an implementation procedure at research institutes.

• Korean Journal of Food Science and Technology
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• v.36 no.4
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• pp.527-530
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• 2004

Adulteration of sesame oil using near infrared (NIR) spectroscopy was determined. Vegetable oils including sesame oil were scanned on the NIR spectrophotometer at 400-2500 nm. Partial least square (PLS) was applied on the standardized full NIR spectral data. Discriminant analysis with PLS is adequate for determination of sesame oil adulteration, except with decreasing adulteration rate. Designing of quality control system, which uses NIR spectroscopy to measure adulteration level of sesame oil is thus possible, although more work is required to give acceptable accuracy level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.78-85
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• 2018

In this study, we investigated the cases where there were many opinions in the judgment of the cause of ignition in the case of 20 cases of frozen warehouse fire that occurred in 2017.The research methodology is the scientific fire survey method prescribed by the NFPA 921 CODE. Scientific fire investigation method is fire investigation method by logical reasoning through hypothesis setting, minimizing errors in judgment of ignition source. On the other hand, unscientific fire investigation methods cause many errors by the intervention of irrational factors such as subjective estimation, reasoning judgment, etc. This eventually leads to the problem of human and material responsibility and academic deterioration. In particular, fire not seen as compared to sighted fire makes more errors in ignition sources in the cause investigation. In this study, we set the hypothesis A and hypothesis B based on the review of the fire investigation report and the field survey on the fire case of the cold storage warehouse front line that occurred at ** city ** Mart in 2017.The set hypothesis was tested by the NFPA 921 code. This analytical method will be constructed by NEW Paradigm as a source of fire that is not seen in the future and a source of ignorant fire.In addition, the experimental data of this study will be used to inform the manufacturer and operator of the refrigeration warehouse and serve as basic data for fire prevention.

• Journal of the Korean Society for information Management
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• v.2 no.2
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• pp.170-178
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• 1985

The aim of this paper is to explain configuration, charge, and common command language of the EURONET that connect the Data Base of Scientific Technical Information in Europe and offer the On-line service to the user.

• International Journal of Highway Engineering
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• v.16 no.4
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• pp.35-43
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• 2014

PURPOSES: This study provides a methodology for estimating proper number of equipment for ordinary road management works. METHODS: Utilizing a computerized data of record systems (KAMIS) in 18 regional offices, two evaluation indicators were calculated and then normalized for objective comparison. Applied magnifying factor to the outputs, the proper number of equipment can be estimated. RESULTS: As a result, proper number of equipment by regional offices were required 28% more than current conditions. CONCLUSIONS: Using the proposed a methodology, fundamental data for scientific and reasonable strategies can be stored as well as be used for the future plan for budget allocation.