• Proceedings of the Korean Society of Community Living Science Conference
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• 2003.11a
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• pp.160-161
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• 2003

농촌생활 전반에 대한 생활수준 진단과 농촌주민들의 의식과 욕구를 정확하게 파악하여 미래 농촌생활의 모습을 예측하는데 있어서 종합적인 지표 및 표준화된 실태에 관한 통계자료는 필수적이라 할 수 있다 그러나 우리 나라에서 생산되고 있는 공식통계 중 농촌생활을 종합적으로 다루고 있는 자료는 미흡한 실정이다. 이러한 필요성에 의해 농촌생활연구소에서는 1994년 농촌생활지표를 인구 및 사회, 식생활, 건강생활, 주거 및 환경, 가정경제, 교육 및 교양, 여가생활, 가족생활 등 8개 부문을 기본틀로 하여 1994년, 1999년 두 차례에 걸쳐 $\boxDr$농촌생활지표$\boxUl$ 집을 발간한 바 있고, 2000년부터는 이들 지표 중 기존 통계자료 이용이 불가능한 82종의 지표항목에 대해 3년 주기로 직접조사를 통해서 자료를 생산하게 되었다. 여기서는 2002년에 조사한 주거 및 환경. 가정경제, 교육 및 교양부문 중, 교육 및 교양부문의 조사결과를 제시 하고자 한다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.612-615
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• 2004

정보 시스템과 인터넷의 급속한 성장으로 다양하고 효율적인 교수-학습자료의 개발이 요구되고 있다. 특히 VRML을 이용한 삼차원 공간의 학습자료 개발은 정보화 사회에서의 교수-학습효과를 더욱 증가시킬 수 있다. 기존의 VRML 저작도구에서는 순차접근방식을 사용한 파일저장시스템을 이용하여 객체를 저장함으로서 객체의 효율적인 관리가 용이하지 않다. 본 논문에서는 데이타베이스 관리시스템의 저장구조를 이용하여 삼차원 객체를 저장하고 관리할 수 있도록 VRML 학습자료 저장시스템을 설계하고 구현한다. 또한 본 시스템을 이용하여 중학교 과학 교과서의 화학물구조에 대한 삼차원 학습자료 생성을 예로 들어 보임으로서 그 효율성을 입증한다. 따라서 본 VRML 학습자료 저장 시스템은 교사들로 하여금 삼차원 학습자료를 상호간에 공유하여 재사용할 수 있으며 삼차원 학습자료의 생성에 있어서 시간과 경비 절감의 효과를 얻을 수 있다.

• Journal of the Korean Applied Science and Technology
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• v.35 no.2
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• pp.378-388
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• 2018

The purpose of this study was to examine the effect of the social support on health promotion behavior and life style of elderly people participation in physical education program. Total of 284, elderly people participated in this study. Data ware analyzed by descriptive statistical analysis, reliability analysis, exploratory factor analysis, correlation analysis, and multiple regression with SPSS 18.0 ver. program. The results were as following. First, social support influenced significantly on their health promotion behaviors. Second, social support influenced significantly on their life style. Third, health promotion behavior influenced significantly on their life style.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.65-82
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• 2006

The purpose of this study is to present some basic information essential for planning long-term preservation of digital audio files, which have been collected through 'Cultural Archetypes Digitization Project' by the Korea Culture & Content Agency. Needs and limitations of digitization of audio resources for their long-term preservation, digital audio archiving models(OAIS Reference Model and AHDS Model), some technical principles for audio digitization and preservation, preservation metadata and storing media for digital audio files were discussed. Compliance to the requisites listed in Audit Checklist for the Certification of Trusted Digital Repositories of RLG & NARA was suggested. It was also recommended to review the appropriateness of collaborating on digital preservation project with other institutions.

• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.1-26
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• 2020

In today's increasingly data-intensive academic environment, data is becoming the foundation of academic communication as a research outcome rather than a research by-product. However, there is a limit to guaranteeing actual data reuse only by expanding the data supply or securing accessibility. In order to overcome this, it is necessary to understand the data reuse behavior and data needs in-depth. Therefore, this study attempted to identify the major data reuse behavior and data needs among researchers. To this end, the authors of KCI papers among the data reuse documents of the Korea Social Science Data Archive (KOSSDA) for the past 3 years were targeted. An in-depth interview was conducted with 12 researchers who accepted the interview. As a result, factors considered when reusing data were personal, economic, technical, and social aspects, and it was found that the data itself was used or contextual information of the data was used depending on the purpose of data reuse. The path to acquiring data is a web-based source of information, and a path through informal communication can also be found. In terms of the data needs, it was found that they prefer English, the United States, and institutional producers. Also they have a clear preference for quantitative data from an interviewer-filled interpersonal interview survey method, rich metadata along with raw data, and data that contains identification information. However, due to the lack of confidence in the value, it is negative for the use of data with controlled access and use, and it is difficult to confirm a clear preference because there is no similar data available for selection in terms of size and freshness.

• 한국노년학
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• v.25 no.2
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• pp.109-126
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• 2005

Recently it has been encouraged in developed countries that labor force participation of the elderly is one of the means to cut down the cost of social welfare for them. However, empirical studies have rarely explored how work in later life contributes to national economy. Especially, even though 56.6 percent of elderly workers aged 65 and older engaged in agriculture and forestry in Korea, their contribution has been socio-economically overlooked. This study aims at examining the effect of farming labor in later life on social welfare expenditure. For this purpose, social welfare expenditure was defined as social benefits provided for the elderly by the social security in public sector and measured as transportation allowance, pension, livelihood aid, medical aid, and health insurance in 2003. Data were obtained from National Health Insurance Cooperation and 37 town/village offices and analyzed by 3 age groups; 65~74, 75~84, and 85 and over using SPSS/PC windows program. Results showed that both livelihood and medical support in all age groups were expended more to non-farm than to farm workers. The amount differences per person between them were 113,959~361,132 won in livelihood support and 15,644~51,418 won in medical support. Also, participation in farming influence reduction of livelihood expenditure for the group 65~74 and 75~84 and that of medical expenditure only for the group 65~74. Based on these results, it was estimated the amount of social welfare expenditure reduced by farming labor in later life. The limit of this study and the policy implications of the results are discussed.

• Korea Science and Art Forum
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• v.26
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• pp.179-187
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• 2016

The purpose of this study is to analyze the color environment of urban small parks. We selected the urban small parks located in the subway stations around the line 2 and the Yamanote line in Seoul and Tokyo, and measured the environmental color with a spectroscopic colorimeter. Four urban parks, four urban parks, four urban parks, four urban parks, and four urban parks in Tokyo, and conducted field surveys. The study was divided into social sports facilities, park facilities and floor paved areas. The results of the study are as follows. The color of Y, YR, and GY colors were high in the environmental color of the first sports facilities in Seoul and Tokyo. In the case of Seoul, B, BG, PB, and Tokyo are R and P series, respectively. econd, in the case of social sports facilities, Tokyo has a different color distribution than Seoul, and Seoul has a somewhat higher brightness, so bright colors have been applied to the facilities. Third, the colors of park facilities showed similar brightness and saturation values in Seoul and Tokyo. In color distribution, Seoul is higher in Y-series and B-series, and Tokyo is higher in Y-series and R-series. The brightness and the saturation of the bottom pavement are similar to those of Seoul and Tokyo. However, the difference in color distribution shows that the color difference of the social facilities of urban small parks in Seoul and Tokyo varies depending on the color distribution rather than brightness and saturation.

• Korean Journal of Remote Sensing
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• v.39 no.6_2
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• pp.1523-1528
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• 2023

Since the successful launch of Geostationary Ocean Color Imager-II (GOCI-II) in February 2020, various studies for improving the accuracies of the product have been underway through full-scale Cal/Val (calibration and validation) activities. This special issue examines the algorithm for GOCI-II data quality management at present, two years after the start of studies on Cal/Val and algorithm improvement of GOCI-II data, and introduces accuracy improvement and application progress along with the related research results. We expect that highly accurate data will be provided and utilized through continuous Cal/Val activities for GOCI-II data.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.227-236
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• 2019

The purpose of this study is to examine the effect of TSJ-JSM (Job Stress Management) program, which was developed for improving interpersonal relationship and mitigating job stress among social workers through convergence methods with biomedical and social scientific measurements. In order to achieve the purpose, utilizing quasi-experimental design with non-equivalent control group design was applied. Participants were recruited among social welfare residential facility workers with volunteer intention, and 21 participants divided into three groups randomly: experimental, comparison, and control groups consisted of 7 workers respectively. TSL-JSM program consisted of 12 sessions were implemented to experimental group, on the other hands, other employee assistant program with 12 stages was applied to comparison group. Data analysis for verification of TSL-JSM program was conducted with SPSS 25.0. Both social scientific and biomedical scientific measures show that TSL-JSM program has most strong effects on enhancing interpersonal relationship skills and allaying level of job stress by levels of increased HRV SDNN and decreased Corisol.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.20-20
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• 2017

최근 기후변화 영향에 따라 전 세계적으로 인명피해 및 재산피해를 유발하는 자연재난이 지속적으로 증가하고 있으며, 그로 인한 자연재해의 규모가 점점 더 커지고 있다. 실제로 우리나라에서도 지난 1994 년에서 2013 년까지 지난 20 년간 자연재해에 의한 피해액은 12조 3천억 원으로 집계되었으며, 이 중 강우와 태풍에 의한 피해가 85 % 이고, 대설에 의한 피해는 약 13 % 로 자연재해 중 대부분의 피해는 강우 및 태풍에서 발생하지만, 폭설에 의한 피해도 적지 않은 것으로 나타났다. 이에 따라, 정확한 예측을 위해 신뢰도 높은 자료 구축을 통한 대설피해 예측에 관한 연구가 필요한 시점이다. 본 연구에서는 대설피해액 예측을 위해 우리나라의 63개 기상 관측소에서 관측한 적설심 자료 및 기상관측 자료와 사회 경제 자료 총 11개를 대설피해 예측을 위한 입력변수로 선정하고, 이를 기상관측소가 속한 도시의 면적에 따라 3개의 지역으로 구분하였다. 주성분분석을 활용하여 선정된 입력변수들을 4개의 주성분으로 구분하고, 인공신경망 및 다중선형 회귀 모형을 구성하여 각 지역별 대설피해 예측의 오차를 분석하였다. 적용결과, 인공신경망 모형을 이용한 대설피해 예측의 수정결정계수는 22.8 %~48.2 %를 나타냈고, 다중선형회귀 모형의 수정결정 계수는 9.2 %~39.7% 로 나타났다. 그러므로 인공신경망 모형이 다중회귀 모형보다 선택된 입력자료를 활용하여 대설피해를 예측하는 목적으로 조금 더 우수한 결과를 나타내었다. 향후 자료를 보완 및 모형의 고도화를 통해 보다 정확한 대설피해 예측 함수 개발이 가능할 것으로 기대된다.