• Air Cleaning Technology
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• v.25 no.2
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• pp.26-34
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• 2012

• Construction Engineering and Management
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• v.18 no.4
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• pp.28-31
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• 2017

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.664-665
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• 2018

효과적인 에너지 절약 시스템을 구현하기 위해서는 실내의 재실자 존재 여부를 판별할 수 있는 근거가 필요하다. 본 연구에서는 천장에 광각렌즈 카메라를 설치하여 재실자 수를 탐지하는 방법을 소개한다. 인식 기술은 합성 곱 신경망의 한 종류인 Yolo v2를 사용하였으며, 건물 내부의 다양한 장소의 천장에 카메라 센서를 설치하여 필요한 데이터를 수집하였다. 수집한 2,200장의 데이터를 기준으로 학습을 수행하였고, 인식의 정확도를 측정해본 결과 96.15%의 정확도와 91.72%의 재현율을 얻어냈다.

• Journal of KIBIM
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• v.13 no.2
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• pp.29-36
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• 2023

This study explores the potential of utilizing video-based data analysis and machine learning techniques to estimate the number of occupants within a building. The research methodology involves developing a sophisticated counting system capable of detecting and tracking individuals' entry and exit patterns. The proposed method demonstrates promising results in various scenarios; however, it also identifies the need for improvements in camera performance and external environmental conditions, such as lighting. The study emphasizes the significance of incorporating machine learning in architectural and urban planning applications, offering valuable insights for the field. In conclusion, the research calls for further investigation to address the limitations and enhance the system's accuracy, ultimately contributing to the development of a more robust and reliable solution for building occupancy estimation.

• Construction Engineering and Management
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• v.18 no.6
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• pp.52-54
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• 2017

• Fire Science and Engineering
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• v.32 no.6
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• pp.134-140
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• 2018

This study examined the adequacy of a school classroom's occupant load density standard to cope with the issues associated with the decreasing number of students and regional variations. Therefore, this study analyzed the occupant load density standards of kindergarten, elementary school, middle school, high school, and universities using the data open to the public by the Ministry of Education. The results revealed a high variance in the occupant load density according to the school type. The median values were 1.49, 3.45, 2.64, 2.45, and $3.41m^2/person$ for kindergarten, elementary school, middle school, high school, and universities, respectively. Although the occupant load density was higher than the current standard ($1.9m^2/person$), except for kindergarten, the present standard did not need to be improved immediately, considering the purpose of calculating the maximum occupancy. On the other hand, if improvements are made in line with other enhancements of a national education policy, it will be possible to mitigate the measure to $2.5m^2/person$ based on the survey results.

• Journal of the Korean housing association
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• v.27 no.6
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• pp.145-153
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• 2016

The purpose of this study is to grasp the effectiveness of evacuation safety design by verifying the appropriateness of the standard of occupant load factor for residential buildings. To this end, the definition and current standard of occupant load factor for residential buildings were analyzed, and the problems of the current standard were clarified by interviewing professionals. In addition, changes in occupant load factor were examined by year based on statistical research, and evaluation on the current standard $18.6m^2/pers.$ was performed. As for evaluation methods, the need of redesigning of evacuation capacity was investigated by using evacuation simulation. As a result of the analysis, the most serious problem was clarification of the applicable standard for residential officetel, where the average occupant load factor was $26.1m^2/pers.$, which was not appropriate. However, as a result of evaluation on evacuation capacity, although there was no difference between statistical research results and the current standard in terms of evacuation capacity, when the standard for business facilities was applied to officetel, evacuation time doubled. Thus, this study suggests that when the current standard is applied to residential officetel, it is necessary to separate between residential use and business use.

• Fire Science and Engineering
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• v.19 no.2 s.58
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• pp.20-28
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• 2005

The existing algorithms or programs of egress time estimations rule out the walking velocity of each single person. But this algorithm can not be applied to estimation of evacuation in a hospital, because most patients are handicapped or walking on various kinds of tools. This study measured the moving velocities of patients according to different types of physical handicap. Also evacuation drills in several hospitals were carried out to establish an algorithm for prediction of total egress time of wards. Besides these measurements awareness of staffs about safety was investigated with the questionnaire. The results of this study is divided into two serial papers.

• Journal of the Korean Solar Energy Society
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• v.33 no.2
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• pp.84-92
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• 2013

Blinds are a common type of shading device and are increasingly operated automatically to overcome the limitations of manual operation. Automated blinds need to be controlled to maximize benefits of daylight in the point of occupant comfort and energy consumption. However, the previous control methods could cause occupant's distractions by the undesirable control time interval and amount of blind movement. A few researches suggested the control concept for minimizing occupant's distractions by automatic blind control, but they did not provide optimal control algorithm to be useful in practice. In this paper, we propose an optimal control algorithm for automated blinds that can maximize not only visual comfort but also sunlight penetration into buildings based on occupants' preferences on blind movement and sunlight. The proposed control algorithm can prevent solar glare on workplane and minimize occupant's distractions to maximize occupants' visual comfort.

• Korean Journal of Construction Engineering and Management
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• v.14 no.6
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• pp.49-60
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• 2013

Evacuation process has been considered as one of the most important elements to be managed in public facilities. Although the importance is highlighted through numerous literatures, disaster evacuation planning, particularly fire accidents, faces a number of human behavior related limitations for a similar application to different types of facilities/occupants. To overcome the obstacles including complexity in human behaviors, a number of simulation techniques with limited consideration on human behaviors are utilized to predict foreseeable problems in evacuation process. Therefore, this research aims to propose system dynamics models incorporating human behaviors considering different types of occupants under disaster evacuation events. Analysis on emergent human behaviors such as group forming and interactions under urgent situation are conducted based on the main stream theories in social science field. The results suggest the influences of human behavior factors including cooperative intention, information sharing, and mobility change to evacuation behavior. The implications are expected to provide safety consideration at planning/designing phase of buildings and help facility safety managers for evacuation planning with more realistic management approaches.