• 간호행정학회지
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• 제8권3호
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• pp.361-372
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• 2002

Purpose : The purpose of study was to identify to analysis of core nursing interventions performed by Operating Room nurses. Method : The subjects of the study were arbitrarily selected nurses(n=104) working in Operating Room. The period for data collection was 15 days from July, 15, 2002 to July, 30. 2002. The instrument for study was 486 Nursing Interventions Classification developed by McClosky & Bulechek(2000) and was translated into Korean. In 486 nursing interventions, 57 nursing interventions were selected by more than half of 47 professional nurses group of Operating Room. 57 nursing interventions were used as a secondary questionnaire. In the secondary questionnaire, labels and definitions of all 57 interventions were listed. The collected data were self reported by Operating Room nurses. The data were analysed with SPSS program. Result : In 57 nursing interventions, the 'Behavior' domain was the most frequently used. Core interventions of Operating Room were performed several times a day by more than 50% of Operating Room nurses. Core interventions of Operating Room were 16 Core interventions, 7 classes, 5 domains. In the core interventions, the 'Physiological:Complex' domain was the most frequently used. Core interventions of Operating Room were Surgical Preperation, Infection Control:Intraoperative, Surgical Precautions, Fall Prevention, Documentation, Surgical Assistance, Environmental Management:Safety, Skin Surveillance, Physical Restraint, Pressure Ulcer Prevention, Environmental Management:Comfort, Infection Protection, Presence, Emotional Support, Specimen Management, Shift Report. Conclusion : Core interventions of Operating Room have implications for nursing care practice, nursing education, nursing research, and nursing information system in Operating Room.

• 창의정보문화연구
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• 제7권4호
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• pp.265-277
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• 2021

인공지능 기술의 핵심은 데이터다. 기술의 발달로 데이터의 양이 이전보다 폭발적으로 증가하면서 인공지능 기술 또한 빠르게 발전하고 있다. 하지만 인공지능 교육에 대한 높은 관심에 비해 인공지능과 연계된 데이터 교육 연구는 아직 부족하다. 기존의 인공지능 데이터 교육의 사례 분석 결과, 데이터 과학의 과정 및 일부를 교육하는 사례를 확인할 수 있었으나, 데이터 수집과 관련된 연구는 많지 않았다. 피지컬 컴퓨팅 교구의 활용이 초등학생의 인공지능 교육에 긍정적인 영향을 줄 것이라는 연구와 함께 피지컬 도구를 활용한 데이터 수집 사례를 연구하였으나, 데이터 수집과 관련한 연구 사례 또한 드물었다. 따라서 본 연구에서는 피지컬 도구를 활용한 효율적인 데이터 수집 방법을 설계하였다. 모듈형 피지컬 컴퓨팅 교구인 코블S를 활용하여 데이터 수집 프로그램의 구조도를 만들고 서비스 측면과 사용자 측면의 프로그램 화면의 예시를 구성하였다. 본 연구는 설계 측면의 제안으로 향후 프로그램 제작 및 프로그램과 연동하여 사용할 수 있는 인공지능 교육 플랫폼 구축이 되어야 한다는 점에서 제한점이 있다.

• 한국의류학회지
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• 제48권1호
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• pp.1-19
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• 2024

The purpose of this study is to examine the color characteristics of menswear in different cities, focusing on the Paris, Milan, New York, Tokyo, and London collections. To answer the research question, the sampled colors were classified according to their hues and tones for frequency analysis and cross-analysis. The results are as follows: 'Red', which appeared frequently in the S/S and F/W seasons, was a core color in menswear design, and regardless of the season, 'blackish tones' were most commonly used. The cross-analysis uncovered a significant difference in the trends of hues in the F/W season between the cities. The colors that were more frequently used among the cities were as follows: 'blue-green' in the Paris collection, 'blue' and 'purple' in the Milan collection, 'purple' and 'purple-blue' in the London collection, 'yellow' in the New York collection, and 'red' and 'green' in the Tokyo collection. This study illustrates the significance of the F/W season's use of colors in menswear design and discovered through analysis that hues, rather than tones, were used to express individuality. These results are expected to be used as basic data for the analysis of menswear design trends.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.235-235
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• 2022

Genome selection is a promising tool for plant and animal breeding, which uses genome-wide molecular marker data to capture large and small effect quantitative trait loci and predict the genetic value of selection candidates. Genomic selection has been shown previously to have higher prediction accuracies than conventional marker-assisted selection (MAS) for quantitative traits. In this study, the prediction accuracy of 10 agricultural traits in the wheat core group with 567 points was compared. We used a cross-validation approach to train and validate prediction accuracy to evaluate the effects of training population size and training model.As for the prediction accuracy according to the model, the prediction accuracy of 0.4 or more was evaluated except for the SVN model among the 6 models (GBLUP, LASSO, BayseA, RKHS, SVN, RF) used in most all traits. For traits such as days to heading and days to maturity, the prediction accuracy was very high, over 0.8. As for the prediction accuracy according to the training group, the prediction accuracy increased as the number of training groups increased in all traits. It was confirmed that the prediction accuracy was different in the training population according to the genetic composition regardless of the number. All training models were verified through 5-fold cross-validation. To verify the prediction ability of the training population of the wheat core collection, we compared the actual phenotype and genomic estimated breeding value using 35 breeding population. In fact, out of 10 individuals with the fastest days to heading, 5 individuals were selected through genomic selection, and 6 individuals were selected through genomic selection out of the 10 individuals with the slowest days to heading. Therefore, we confirmed the possibility of selecting individuals according to traits with only the genotype for a shorter period of time through genomic selection.

• Nuclear Engineering and Technology
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• 제41권9호
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• pp.1171-1180
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• 2009

The internal core baffle structure of a French Pressurized Water Reactor (PWR) consists of a collection of baffles and formers that are attached to the barrel. The connections are done thanks to a large number of bolts (about 1500). After inspection, some of the bolts have been found cracked. This has been attributed to the Irradiation Assisted Stress Corrosion Cracking (IASCC). The $Electricit\acute{e}$ De France (EDF) has set up a research program to gain better knowledge of the temperature distribution, which may affect the bolts and the whole structure. The temperature distribution in the structure was calculated thanks to the thermal code SYRTHES that used a finite element approach. The heat transfer between the by-pass flow inside the cavities of the core baffle and the structure was accounted for thanks to a strong thermal coupling between the thermal code SYRTHES and the CFD code named Code_Saturne. The results for the CP0 plant design show that both the high temperature and strong temperature gradients could potentially induce mechanical stresses. The CPY design, where each bolt is individually cooled, had led to a reduction of temperatures inside the structures. A new parallel version of SYRTHES, for calculations on very large meshes and based on MPI, has been developed. A demonstration test on the complete structure that has led to about 1.1 billion linear tetraedra has been calculated on 2048 processors of the EDF Blue Gene computer.

• 한국학교수학회논문집
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• 제24권4호
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• pp.391-405
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• 2021

본 연구는 AI 교육을 위해 수학교과에서 다루어야 할 AI 핵심 개념으로 '데이터 수집', '데이터 표현', '데이터 분석', '최적화 및 의사결정' 4가지로 선정하였다. 이를 바탕으로 선택 중심 교육과정의 각 영역별 수학 핵심 개념 및 내용 요소와 대비하여 AI 핵심 개념에 대한 포함 여부를 조사하였다. 또한 <인공지능 수학>의 내용 체계의 적정성을 핵심 개념과 관련 학습 요소 중심으로 살펴보았다. 그 결과 첫째, <인공지능 수학>의 학습 경로를 어떻게 설정할 것인가?, 둘째, <인공지능 수학>의 성격에 관한 재정의 논의가 필요한가?, 셋째, <인공지능 수학>의 핵심 개념 선정 및 용어 선택은 적절한가?, 넷째, <인공지능 수학>의 내용 체계의 관련 학습 요소 제시는 적절한가? 등에 대한 논의가 필요하다는 시사점을 도출하였다.

• 문화기술의 융합
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• 제9권6호
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• pp.647-655
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• 2023

본 연구는 간호대학생의 핵심기본간호술 수행 자신감과 전곰만족도의 관계를 확인하기 위해 진행된 서술적 조사연구이다. 연구대상 및 자료수집은 2023년 3월 26일부터 4월 9일까지 간호 대학생 63명을 대상으로 선정하였고, 통계 분석은 SPSS 27.0 버전을 사용하여 t-test 와 ANOVA, 상관관계분석을 시행하였다. 연구 결과, 임상실습 시 간호대학생은 핵심기본간호술을 수행하기 보다는(38.03%) 관찰을(56.85%) 주로 하고 있었고 핵심기본간호술 수행 자신감 평균점수 보다 높은 핵심기본간호술 항목은 50%이었다. 간호학에 대해 만족하다고 응답한 대상자가 핵심 기본간호술 수행 자신감과 전공 만족도가 높게 나타났고 두 변수는 높은 양의 상관관관계를(r=0.55, p<0.001) 나타냈다.

• 한국도서관정보학회지
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• 제39권4호
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• pp.125-147
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• 2008

정보환경의 급속한 변화로 도서관은 디지털시대에 적합한 장서개발정책 수립을 위하여 아날로그자원 위주에서 디지털자원을 고려해야 하는 시점에 이르렀다. 그러나 물리적으로 정형화된 형태를 가진 아날로그자원과 달리 디지털자원은 물리적 매체에 고정되지 않고 소유가 아닌 접근이용 라이선스만을 부여받는 특성을 가지고 있어서 각 도서관은 수집과 보존을 위한 디지털장서 개발정책을 세우는데 어려움을 겪고 있다. 특히 국가의 지적문화유산을 수집하고 보존하여 다음 세대로 전하는 임무를 갖고 있는 국립도서관들은 고유기능 유지에 있어 심각한 도전을 받고 있다. 본 논문은 이러한 문제를 극복하기 위해 다양한 시도를 하고 있는 국내외 국립도서관들의 디지털장서 개발정책을 비교 분석함으로써 디지털장서 개발정책의 핵심요소를 도출하고자 한다.

• 패션비즈니스
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• 제16권2호
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• pp.74-87
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• 2012

Many fashion designers were inspired by arts. Not only arts itself but also the sprit of the artist links with fashion. This study based on French artist Yves Klein who died in 1962, at the age of 34. Klein created over a thounsand works in only seven years. Among the his various art collections, it is focused on Yves Peintures, I.K.B(International Klein Blue) and Sponge sculpture. The extracted some of core concepts including aesthetic of Klein about color and line, space perception in monochrome and expansion of monochrome toward three dimensional sponge sculptures were transformed into fashion design. As a result, Yves Sweats project, which is T-shirts project based on Yves Peintures, designed as a three-dimentional expansion of Monochrome and it was shown at Fall/Winter 2011-12 Tranoi homme trade show in Paris. Also Yves Klein collection was designed as a ready-to-wear menswear collection that was presented at Fall/Winter 2011-12 Seoul Fashion Week.

• 대한의생명과학회지
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• 제10권4호
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• pp.523-528
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• 2004

The core factor of the study is integrated environment based PC-Cluster system and high speed access rate up to 155 Mbps, continuous collection system for bioinformatics information at home and abroad. The results of the study are establishment and stabilization of information and communication infrastructure, establishment and stabilization of high performance computer network up to 155 Mbps, development of PC-Cluster system with 32 nodes, a parallelized BLAST on Cluster system, which can provides scalable speedup in terms of response time, and development of collection and search system for bioinformatics information.