• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.331-337
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• 2020

study analyzed the relationship between ChildCare Teachers' Office Stress on Happiness with Teacher Effectiveness. A survey was conducted on 243 childcare teachers in J area. The collected data was analyzed using the JAMOVI program to analyze the mediated effects and technical statistics. Results found that office stress, teacher efficacy, and sense of happiness of childcare teachers were found to meet the normality assumption. Second, the analysis of the relationship between office stress, teacher efficacy, and happiness showed a statistically significant negative correlation between administrative stress and teacher efficacy and happiness and teacher efficacy showed a significant positive correlation. Higher office stress led to less teacher effectiveness and happiness, and higher happiness led to higher teacher effectiveness. Third, office stress is a significant predictor of happiness and teacher's efficacy. In conclusion, office stress should be considered important in terms of happiness and teacher effectiveness and the direction of improvement in the treatment of child care teachers was suggested.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.4
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• pp.109-128
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• 2022

The new administrative capital construction project is an important national project implemented to relocate the national administrative capital, and the records produced during the construction have high historical value. However, Korea's management of these records related to the construction of the new administrative capital is insufficient; thus, finding a management plan is necessary. In contrast, Brazil is a country that collects, builds, and maintains both public and private records produced during the construction of Brasilia, the new administrative capital. Thus, Arquivo Publico do Distrito Federal (ArPDF), the Brazilian records management organization established to manage Brasilia's construction records, was selected as the case analysis subject in this study. By analyzing ArPDF's website and official publications, this study investigated the overall matters related to the management of new administrative capital construction records and derived implications applicable to the management of new administrative capital construction records in Korea.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.29-36
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• 2020

The background of this study is that machine learning administrative services are recently attracting attention as a major policy tool for non-face-to-face administrative services in the post-corona era. This study investigated the types of work expected to be effective when introducing machine learning administrative services for Seoul Metropolitan Government officials who are piloting machine learning administrative services. The research method is a machine that can be introduced by organizational unit by distributing and collecting questionnaires for Seoul administrative organizations that have performed machine learning-based administrative services for one month in July 2020 targeting Seoul public officials using machine learning-based administrative services. By analyzing the learning administration service and application service, the business characteristics of each machine learning administration service type such as supervised learning work type, unsupervised learning work type, and reinforced learning work type were analyzed. As a result of the research analysis, it was found that there were significant differences in the characteristics of administrative tasks by supervised and unsupervised learning areas. In particular, it was found that the reinforcement learning domain contains the most appropriate business characteristics for machine learning administrative services. Implications were drawn. The results of this study can be provided as a reference material to practitioners who want to introduce machine learning administration services, and can be used as basic data for research to researchers who want to study machine learning administration services in the future.

• Journal of Korean Library and Information Science Society
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• v.45 no.3
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• pp.349-369
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• 2014

The purpose of this study is to suggest an improved model of the library administrative organization, based on analysis and investigation of present situations of libraries in 31 local governments of Gyeonggi province. With the result of this investigation, there are few local governments in Gyeonggi province with library-related organizations. Most of them had more organized position of extraordinary session than of affiliation with each local government. Also, library policy departments were incomplete, and local governments did not configure the library operating System(central library - base library - branch library) efficiently.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.103-103
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• 2022

최근 우리나라는 기후변화의 영향에 의해 국지적으로 집중호우가 발생하고 있으며, 홍수로 인해지역적으로 사회적, 경제적 피해가 증가하고 있다. 이에 사전에 홍수로 인한 피해에 대비하고자 기상청에서는 호우특보를 발령하고 있으며, 환경부에서는 하천을 중심으로 홍수특보를 발령하고 있다. 그러나 호우특보는 전국을 동일한 판단기준을 활용하고 있으며, 홍수특보는 하천 중심으로 홍수에 대한 위험을 예보를 제공하여 사전에 행정구역에서 홍수에 대비하는 데에는 한계가 있다. 본 연구에서는 사전에 홍수에 대비하기 위한 방법으로 과거 홍수피해 자료를 활용하여 홍수위험을 평가하고, 이를 활용하여 재난인자인 강우량과 홍수량에 대한 판단 기준을 행정구역별로 제시하고자 하였다. 홍수위험 판단 기준을 설정하기 위해서 과거 홍수피해 사상별 강우량, 홍수피해액, 홍수피해 현상 등을 조사하였으며, 홍수피해 현상은 각종 기사 및 뉴스 등을 활용하여 수집하였다. 강우량 기준은 행정구역 내 존재하는 강우관측소 자료를 활용하였으며, 홍수량 기준 적용 지점은 담당 공무원의 의견과 과거 홍수피해 이력이 있는 지역에 대해 설정하였다. 각 홍수위험 판단기준은 위험정도에 따라 4개로 구분하여 제시하였다. 향후 본 연구에서 제시된 홍수위험 판단기준은 사전에 홍수위험을 인지하고 대비하기 위한 대응단계 설정에 활용 가능할 것으로 판단된다.

• The Korean Nurse
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• v.32 no.4
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• pp.36-44
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• 1993

• 전기의세계
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• v.46 no.6
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• pp.19-23
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• 1997

본고에서는 학회 창립 50주년을 맞아서 정례회의를 개최하는 총회, 평의원회, 이사회, 편집위원회, 조사위원회의 활동을 살펴보고, 이와 더불어 학회의 재무상황과 사무국의 변천내용을 알아보기로 한다.

• KLA journal
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• v.12 no.8
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• pp.29-32
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• 1971

• LP가스
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• s.105
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• pp.57-64
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• 2006

본내용은 한국가스안전공사에서 조사한 사고내용으로 다양한 사고 형태를 홍보하여 사고예방에 기여하기 위한 것이다. 관련 내용을 수회에 걸쳐 연재할 예정이다.

• Journal of the Korean hospital association
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• v.23 no.7.8 s.216
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• pp.40-61
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• 1994