과학교과교육 : 전북 무주 지역이 야외지질 학습자료

배효정 ( Hyo Jeong Bae ),양우현 ( Woo Hun Ryang ) 전북대학교 과학교육연구소 2014 과학과 과학교육 논문지 Vol.39 No.1

이 연구의 목적은 전북 무주군 일대의 야외지질 학습자료를 제안하는 것이다. 야외지질 학습장소는 주로 유명하고 경관이 수려한 지역에 위치한다. 무주분지의 학습 장소 내 퇴적암, 변성암, 화성암 등은 뚜렷한 특정과 구조를 보여준다. 중생대 무주분지의 퇴적층은 하부에는 쇄설성 퇴적암이 주로 상향 세립화 경향을 보이며, 상부에는 화산쇄설성 암석이 나타난다. 야외지질을 위한 학습자료는 구상 화강편마암, 충적평원 환경의 적색 이암, 다양한 기원의 역암 등으로 구성된다. 이 자료의 야외지질 학습 적용은 중등학교 학생의 자기주도적 학습능력과 실제적인 학습이해를 증진시키는데 도움을 줄 것이다. The purpose of this study is to propose teaching materials for geological fieldwork in Muju-gun, Jeonbuk, Korea. The sites of geological fieldwork are mainly located on famous and superb natural landscapes in the area. Sedimentary, metamorphic, and igneous rocks of the Muju Basin show distinct characters and structures on the site. The sedimentary succession of the Cretaceous Muju Basin shows a large-scale fining-upward trend of clastic rocks in the lower part and pyroclastic rocks in the upper part of the basin. The teaching materials for geological fieldwork consist of orbicular granitic gneiss, purple mudstone beds of floodplain environments, conglomerate beds of various origin, and others. Application of these materials to geological fieldwork will help students of the middle and high schools improve their self-directed learning and practical understanding of earth science.

동서양의 여성정치인에 대한 패션ㆍ색채이미지 분석

배효정(Hyo-Jeong Bae) 한국인체미용예술학회 2011 한국인체미용예술학회지 Vol.12 No.3

Influences of external images in social activities are very large to most of modern men. Especially the importance of external images to politicians may be critical enough to decide the political outcomes. Candidates of the presidential elections make a lot of efforts for becoming clothing and hair styles along with messages for delivering to the public. The purpose of this study is to analyze how much the fashion image affects out of elements which may decide the good feeling and trust of an individual and assisting to express self-images effectively in job interviews, promotion chances and etc. This study adopted politicians as a research population in that they might be persuasive as interests of the public are high. For the research, with which images each of Ms. Kim Yoon Oak, the first lady of the Korea who is chosen as a representative of Asian, and Ms. Park Keun Hye, a politician, Ms. Michelle who is the current US first lady and chosen as a representative of Westerner and Ms. Hillary, a politician approached the public is to be analyzed with their clothing fashions, hair styles and additionally worn accessories. Various pictures which were published through internet were examined and analyzed. As a result of the research, it is compared as a difference between Asian and Western that oriental women politicians accentuated typical benevolence with clothing of low brightness and chroma and decent hair styles while the western politicians got positive responses for passionate images with clothing of gaudy colors and short hair styles, which shows the efforts to move the minds of buyers with images of colors as the precedents revealed. It leaves something to be desired as a limitation in that a various and wide research was not made for the study as only pictures in internet were used for a short time. Better issues of following researchers with more materials for longer period are anticipated from now on.

감마족 분포을 적용한 NHPP 소프트웨어 개발비용 모형의 속성에 관한 비교 분석

배효정(Hyo-Jeong Bae) 한국전자통신학회 2023 한국전자통신학회 논문지 Vol.18 No.5

본 연구에서는 감마족 분포(Erlang, Log-Logistic, Rayleigh)을 적용한 NHPP 소프트웨어 개발 비용 모형의 속성을 새롭게 분석하였고, 모형의 속성을 검증하기 위해 Goel-Okumoto 기본 모형과 비교한 후, 이를 근거로 최적의 모형도 제시하였다. 소프트웨어 신뢰도를 분석하기 위하여 시스템 운영 중 랜덤하게 발생한 고장 시간 데이터를 활용하였고, 모수의 계산은 최우추정법을 사용하여 해결하였다. 다양한 속성 분석(평균값 함수, 개발 비용, 최적의 방출시간)을 통하여 종합적으로 평가한 결과, Rayleigh 모형이 가장 우수한 성능을 가진 모형임을 확인하였다. 본 연구를 통하여, 기존 연구 사례가 없는 감마족 분포를 적용한 소프트웨어 개발비용 모형의 속성을 새롭게 규명하였다. 또한, 개발자들이 초기 단계에서 본 연구 데이터를 효율적으로 활용할 수 있도록 기초적인 설계 데이터도 제시할 수 있었다. In this study, the attributes of the NHPP software development cost model applying the Gamma family distribution (Erlang, Log-Logistic, Rayleigh) were newly analyzed, and after comparing with the Goel-Okumoto basic model to verify the properties of the model, the optimal model was also presented based on this. To analyze software reliability, failure time data that occurred randomly during system operation was used, and the calculation of the parameters was solved using the maximum likelihood estimation. As a result of comprehensive evaluation through various attribute analysis (mean value function, development cost, optimal release time), it was confirmed that the Rayleigh model had the best performance. Through this study, the attributes of the software development cost model applying the Gamma family distribution, which has no previous research case, were newly identified. Also, basic design data could also be presented so that developers can efficiently utilize this research data at an early stage.

증례 : 호흡기 ; 정상 면역 여성에서 발생한 심경부의 칸디다 농양 1예

장효정 ( Hyo Jeong Chang ),배형기 ( Hyung Gy Bae ),유성인 ( Sung In Yu ),이혁표 ( Hyuk Pyo Lee ),최수전 ( Soo Jeon Choi ),김현정 ( Hyun Jung Kim ),최상봉 ( Sang Bong Choi ) 대한내과학회 2013 대한내과학회지 Vol.84 No.1

심경부감염의 원인 질환으로는 치아 감염증과 구강인두 감염증이 흔한데 원인이 밝혀지지 않는 경우도 많다. 칸디다 알비칸스는 칸디다 중 가장 흔한 병원균인데 주로 면역 약화자에게 감염증을 일으킨다. 저자들은 정상면역기능을 가진 70세 여성에서 발생한 심경부 칸디다 농양을 경험하여 보고하는 바이다. 환자는 안정적인 C형간염 이외에 면역억제를 일으킬 만한 특이 질환이나 약물 복용력이 없었고 구강이나 인두에 병변도 없었다. 내원 5일 전부터 발열과 호흡곤란, 의식장애가 발생하였고 항생제 투여에도 큰 호전 없이 연하장애도 동반되었다. 컴퓨터단층촬영에서 인두 뒤 공간에 농양이 발견되었고 세침흡인으로 배양검사를 시행한 결과 칸디다 알비칸스가 동정되었다. 수술적 배액을 시행하고 항생제를 항진균제로 교체하여 5주간 투여 뒤 컴퓨터단층촬영에서 병변이 모두 소실되어 퇴원하였다. Deep neck space infections usually arise from infectious conditions of the upper aerodigestive tract. Candida albicans is a normal commensal of humans but usually causes invasive infections in immunocompromised patients. We report an immunocompetent 70-year-old woman with a Candida abscess in the deep neck space. She did not have dental or oropharyngeal disease, medication use, or medical illnesses that could cause an immunocompromised condition, except stable chronic hepatitis C. She was admitted to the hospital with fever, shortness of breath, a drowsy consciousness, and swallowing difficulty. Despite empirical antibiotic therapy, her signs and symptoms did not improve. A deep neck space abscess in the retropharyngeal space was revealed by computed tomography (CT). An abscess culture yielded C. albicans. She was treated with an antifungal agent rather then antibiotics. After 5 weeks of antifungal agent treatment and external drainage, follow-up CT scans showed substantial improvement in the abscess. (Korean J Med 2013;84:101-104)

외국인 기록을 통해 본 서울의 자연경관

이원호(Lee won-ho),연웅(Yeon Ung),배효정(Bae Hyo-Jeong) 한국콘텐츠학회 2013 한국콘텐츠학회 종합학술대회 논문집 Vol.2013 No.5

노면온도 예측을 위한 서울시 주요도로 대상 도로단위 그림자 영향 분석

안숙희(Ahn, Suk Hee),권혁기(Kwon, Hyuk Gi),배효정(Bae, Hyo Jeong),이채연(Yi, Chae Yeon) 한국측량학회 2021 한국측량학회 학술대회자료집 Vol.2021 No.11

극한 작업 공정의 스마트팩토리를 위한 빅데이터 추출에 관한 연구

배효정 남서울대학교 출판국 2021 남서울대학교 논문집 Vol.27 No.-

The advanced technologies of the 4th industry are demanding a lot of changes in the manufacturing process and facility maintenance work site very quickly in various industrial sites in Korea. This study introduces the current status analysis and technology derivation research process for big data extraction, which is essential to apply the important smart factory technology of the 4th industry to the production manufacturing process and facilities in Korea. In particular, if facility automation for a smart factory has to be done in an extreme work environment where there are two or more different types of work or production equipment, very difficult elements exist. In this study, big data necessary to prevent failure of the current collector in charge of supplying large-capacity electricity in large crane facilities in the steel production and steelmaking process with a lot of dust and high heat sources and apply the technology to automatically maintain and manage problems The purpose of this study is to implement the extraction method and research contents together with pictures to enable field application. Key Words : Smart, Factory, Facility, maintenance, BigData, Extraction, Extreme, Process