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박률(Park Yool),최승배(Choi Sung-Bae) 한국건축친환경설비학회 2013 한국건축친환경설비학회 논문집 Vol.7 No.4
With significantly raising energy conservation attributed to windows, there is a need to the method for calculating energy consumption on architectural design step. The purpose of this research is to suggest the regression equation to estimate energy consumption on architectural design step by SHGCs and U-factors of windows for detached house in Inchon and Ulsan through energy simulation using eQUEST program. Annual energy consumption for Inchon and Ulsan with 20% and 30% of window-to wall ratio(WWR) is expressed by 2D-contour. Especially, eight regression equations, 20% and 30% of WWR according to heating and annual energy in Inchon and Ulsan, are suggested by multi regression analysis using SPSS Statistics 20.0 program to calculate more accurate energy and the equations show appropriately deu to below 0.05 of p-value according to U-examination of Mann-Whitney from difference of energy consumption between simulation and equation to alternatives of thirteen windows.
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한정민,이성은,정혜진,최승배,서형식,정현아,고우신,윤화정,Han, Jung-Min,Lee, Sung-Eun,Jung, Hye-Jin,Choi, Seung-Bae,Seo, Hyung-Sik,Jung, Hyun-A,Ko, Woo-Shin,Yoon, Hwa-Jung 대한한방안이비인후피부과학회 2017 한방안이비인후피부과학회지 Vol.30 No.1
Objectives : This study was performed to review the overseas clinical research trends on the effect of On cheong eum on skin disease. Methods : We searched articles in the Pubmed using keywords "On cheong eum", "On sei in", "Wen qing yin", "Jie du si wu tang" and "Jie du si wu decoction". We also searched in the China National Knowledge Infrastructure(CNKI) using key words "???" and "解毒四物?", We selected 5 studies after excluding non-clinical or unrelated studies. Results : One pre-post comparison study and four controlled clinical trials were performed. On cheong eum and modified On cheong eum were used for the treatment of skin disease-recurrent aphthous ulcer, psoriasis vulgaris, neurodermatitis, and skin pruritus. All of the studies showed positive results, and they reported that the treatment group had higher effective rate than control group. However, the quality of these clinical studies were not evaluated. Conclusions : According to this study, On cheong eum would be an effective and safe intervention in skin disease. Therefore, based on this study, more clinical research using On cheong eum should be performed in Korean medicine in the near future.
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텍스트마이닝을 이용한 D대학교 서술형 강의평가 내용분석
김경희(Keunghee Kim),성진용(Jinyong Sung),최승배(Seung Bae Choi),강창완(Changwan Kang) 한국자료분석학회 2021 Journal of the Korean Data Analysis Society Vol.23 No.6
최근 많은 대학에서는 강의평가 결과를 통해 수업의 질 개선을 도모하고자 정량적 평가 이외에 서술형 강의평가 자료를 활용하고 있다. 이러한 자료를 활용하고 있는 이유는 서술형 강의평가 내용이 정량적 평가에서 드러나지 않는 다양한 학생들의 의견들을 담고 있어 향후 수업 개선 방안을 위해 유용한 정보를 도출할 수 있기 때문이다. 개방형 자료를 이용하여 유용한 정보를 도출하기 위한 기존의 방식은 내용을 보고 관련이 있는 몇 개의 범주로 구분하여 단순 집계를 하는 것에 불과하였다. 본 연구에서는 기존의 방법과 달리 데이터마이닝 기법 중 텍스트 마이닝을 이용하여 유용한 정보를 도출해내고자 한다. 이를 위해 첫째, 서술형 강의평가 텍스트 자료에 대해 긍정적 평가인지 부정적 평가인지를 예측 분류하는데 기계학습 방법을 적용하였으며, 둘째, 구체적인 분석을 위해 k-평균 군집분석, 토픽분석, 감성분석 그리고 나이브 베이즈 방법을 고려하였다. 비지도학습 기법은 전체 데이터세트를 이용하였고, 지도학습기법인 나이브 베이즈 방법은 분석용 데이터세트(70%)를 이용하여 최적모형을 찾고, 최적모형을 검증용 데이터세트(30%)에 적용하여 분석하였다. 분석 결과, 검증용 데이터에 대한 예측력 측면에서 나이브 베이즈 방법의 정분류율이 84%로 나타나 토픽분석(68%), 감성분석(75%) 방법에 비해 우수한 성능을 보여 고려한 방법 중 가장 적절한 모형인 것으로 확인하였다. Recently, many universities are using descriptive lecture evaluation data to improve the quality of classes. The reason for using these data is that the descriptive lecture evaluation contains various students opinions, so useful information can be derived for future class improvement plans. The existing method for deriving useful information using lecture evaluation text data was only to perform simple aggregation by classifying the contents into several related categories. Unlike existing methods, this study intends to derive useful information by using text mining among data mining techniques. To this end, first, the machine learning method was applied to predictively classify whether the lecture evaluation text material was positive or negative. Second, for specific analysis, k-means cluster analysis, topic analysis, sentiment analysis, and naive Bayes method were applied. The unsupervised learning technique used the entire dataset, and the naive Bayes method, a supervised learning technique, used a validation data set (70%) to find the optimal model, and tested the optimal model with the validation data set (30%) and analyzed. As a result of the analysis, the naive Bayes method showed a correct classification rate of 84%, showing superior performance compared to the topic analysis (68%) and sentiment analysis (75%) methods, and was confirmed as the most appropriate model among the methods considered.
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스테비아 잎추출물을 첨가한 그릭스타일 요거트의 발효특성 및 저장기간 중 품질특성
김하나 ( Ha-na Kim ),윤지우 ( Ji-woo Yoon ),문선아 ( Seon-ah Moon ),최승배 ( Sung-bae Choi ),서용민 ( Yong-min Seo ),박준홍 ( Jun Hong Park ),주진우 ( Jin-woo Jhoo ),안성일 ( Sung-il Ahn ),김거유 ( Gur-yoo Kim ) 한국유가공기술과학회 2016 Journal of Dairy Science and Biotechnology (JMSB) Vol.34 No.1
In this study, the fermentation and quality characteristics of Greek-style yogurt supplemented with stevia leaf extract during storage were examined. Stevia leaf extract was extracted from dried leaves with hot water and 70% ethanol. The pH decreased significantly in all samples over time during fermentation (p<0.05). In particular, the sharpest decrease was detected in the group in which the hot water extract of stevia was added. Acidity increased significantly over time during fermentation (p<0.05). Lactic acid bacteria counts increased in all samples up to 9 h after the start of fermentation, but decreased after 12 h. The sugar content decreased over time, and there were no major differences between samples. Based on the results of a sensory evaluation, the group treated with stevia extract was rated high in sweetness, but was rated somewhat low in color and flavor. Accordingly, it was rated low in overall acceptability. In a storability experiment, as the days of storage increased, the pH gradually decreased, and acidity showed a tendency to increase. The sugar content showed a tendency to decrease and then increase.
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