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수정(修正)빈법(法)에 의한 건물(建物)의 기간(期間) 열부하(熱負荷) 해석(解析)에 관한 비교(比較) 연구(硏究)
손장열,윤동원,이정재,Sohn, J.Y.,Yoon, D.W.,Yee, J.J. 대한설비공학회 1988 설비저널 Vol.17 No.6
The purpose of this paper is to present the fundamental information for setting up more accurate and easier heat loads analysis method by examing and comparing Modified Bin Method with Dynamic loads calculation and Extended Degree Day Method. For this comparison, monthly and annual loads calculation are performed in perimeter zones of model office building in Seoul by the above each Method. The results of Modified Bin Method are approximated to those of Dynamic loads calculation Method, and the correlations of the methods are specifically described in this paper.
정민영(CHUNG, Minyoung),이현수(LEE, Hyunsoo) 한국실내디자인학회 2019 한국실내디자인학회 학술대회논문집 Vol.21 No.3
This paper suggests Emotional adjective prediction using a deep learning approach. The color is important since colors help us to identify an object and colors have symbols that interact with emotion. It is difficult to design based emotions that emotional color are not sufficient to analyze color design by intuition. Before it will expand color data, it is necessary to verify throughout variety source qualitative and quantitative research. It is difficult to design based emotions that is necessary to verify throughout variety source qualitative and quantitative research. This research focused on a deep learning method for emotional color classification that can replace thousands of people’s cognition. The input of the fusion is given to a support of Python language for image classification. This research has concluded that it is desirable to use Deep learning for classifying the set of color of images and it helps color analysis efficiently. Deep learning makes the quality of universal perception with computation easier for user experience. This research has concluded that it is desirable to use Deep leaning for classifying the set of color of images. ImageNet with convolutional neural network makes the quality of universal perception with Deep leaning easier for user experience. A designer makes color combinations institutionally that is classified using deep learning, and can be analyzed emotion as A is 90 percentage ordinary and B is 50 percentage extraordinary in two minuits for deep learning thousand emotional colors and classifying over one hundreds color palettes. It is expected to use these results of research have implications for color design and analysis.
친환경도료 사용유무에 따른 신축학교 교실의 실내공기질 평가
이정재,김상희,최석용 東亞大學校 環境問題硏究所 2005 硏究報告 Vol.27 No.1
In recent years, school buildings are poorly ventilated because of airtightness for energy savings. It leads to reduce the quantity of natural ventilation in the buildings. Therefore, the existing natural ventilation systems can cause the lack of fresh outdoor air and the poor exhaust of indoor air. And Indoor Air Quality (IAQ) and indoor environment grow worse. Especially, Formaldehyde (HCHO), Volatile Organic Compounds (VOCs) which is emitted from the building materials and coating material etc. occur Sick School Syndrome. The elementary or middle school students are spending their much time at school in the period of their growing. Accordingly, school environment for students' activities, but nevertheless the environmental pollution and indoor air quality in schools are not much concerned. In this study, the filed survey and the analysis of indoor air quality applying healthy environment materials at classroom are performed for the newly-built schools. Base on the results the indoor air quality database of existing school buildings is constructed to prepare the counterplan for the improvement of indoor air quality.
외기조건변화에 따른 전열교환 환기시스템의 성능평가 및 운전방안에 관한 연구
이정재,김 광 현,박 미 지 東亞大學校 附設 環境問題硏究所 2007 硏究報告 Vol.29 No.1
Recently, it has been revising regulation of ventilator installation and detail regulation the secures comfortable & safety indoor air quality(IAQ) and obligated establishment of heat recovery ventilator in new apartment building. In this study, we offers operation and a plan of heat recovery ventilator to energy saving by measure efficiency the come out from outdoor conditions and comparing & analysis the energy saving effect. As a result of in this study was as follows : In case, we think that if it do not show that the upper than average of 30 percents absolute humidity in spring and autumn, it should profitably operation "by-pass mode". (2) Energy saving effect appears the heat recovery ventilator show widely rate ratio compared to constant air volume system.