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이예인,김중경 대한기계학회 2019 大韓機械學會論文集B Vol.43 No.6
An appropriate evaluation index is needed to develop a heating-and-cooling control system that considers the physiological and psychological responses of occupants due to changes in the thermal environment. Here, we propose a novel method for estimating and mapping the change of local thermal sensation in a body part, using the temperature distributions in the face and hand as measured by a thermographic camera. The temperature of each pixel in the thermal image was used to compute the local thermal sensation through a MATLAB-based program. Unlike the existing analytical model, which can only estimate the temporal change of a local sensation using a single representative temperature for each body part, our method can visualize a spatiotemporal map of the local thermal sensation in exposed body parts, using the positional information of every pixel in the thermal image. The proposed method has potential applications in human-interactive systems for thermal management and the prevention of heat-related illnesses. 온열환경은 냉난방을 통해 조절할 수 있다. 온열환경의 변화에 따른 사람의 생리적, 심리적 반응을 고려한 냉난방 제어 시스템 개발을 위해서는 적절한 평가 지표가 필요하다. 한서감은 열환경에 대한 심리적 지표이며 피부온도로부터 계산된다. 본 논문에서는 열화상 카메라로 측정한 얼굴과 손의 피부온도 분포를 활용해 해당 신체 부위 내의 국부 한서감의 변화를 추정하고 매핑하는 방법을 제시하였다. 열화상 이미지 각 픽셀의 온도는 MATLAB 프로그램을 통해 국부 한서감 계산에 사용하였다. 또한 국부 한서감 계산식에서 개개인의 온열감을 반영할 수 있는 계수를 찾고 그 영향을 분석하였다. 각 신체 부위별 대표 온도를 사용하여 국부 한서감의 시간에 따른 변화만을 추정할 수 있는 기존 해석모델과는 달리, 본 방법은 픽셀의 위치 정보를 이용하여 노출된 신체 부위에서 국부 한서감의 시공간적 분포를 가시화할 수 있다. 향후 사람의 열생리/열심리 반응을 고려한 개인 맞춤형 열관리 시스템뿐만 아니라 온열 질환 예방 시스템 개발에도 활용 가능할 것으로 기대된다.
이예인,김윤희 한국간호교육학회 2022 한국간호교육학회지 Vol.28 No.2
Purpose: The goal of this study was to see how flipped learning affected nursing students in South Korea who were enrolled in a quit smoking intervention education program. The flipped learning-based quit smoking intervention education program was developed to help nursing students implement the intervention. Methods: This quasi-experimental study was conducted using a pretest-posttest design. A total of 52 nursing students, divided into experimental and control groups of 26 each, participated between November and December 2021. The experimental group was instructed in the flipped learning-based quit smoking intervention education program over six sessions. In accordance with flipped learning, each session was composed of pre-class, in-class, and post-class sections. Results: Compared to the control group, the experimental group showed improved beliefs about the health benefits of quitting smoking, as well as positive attitudes and self-efficacy from the quit smoking intervention. The experimental group experienced the greatest increase in student-centered activities and student participation through flipped learning. Conclusion: These results indicate that the flipped learning method was effective in quit smoking intervention education for nursing students. Therefore, it is worthwhile to consider that a quit smoking intervention education program based on flipped learning be included in the regular nursing curriculum.
이예인,Hyunjin Lee,Byung Ha Kang,김중경 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.7
Thermal comfort of occupants in conventional vehicles driven by an internal combustion engine is controlled by heating, ventilation, and air conditioning (HVAC) system. However, the operation of a conventional HVAC system decreases the mileage of electric vehicle (EV) in the heating mode by nearly 50 %. Thus, local radiant heating was proposed as a heating strategy to reduce electric energy consumption while providing reasonable thermal comfort. In this work, we developed a personalized overall thermal sensation (OS) model using machine learning to evaluate the thermopsychological effect of local radiant heating and simulate the OS of occupants in EVs. Data were obtained from a real EV that went through a cold environmental chamber and were evaluated using random forest algorithm. By considering individual thermal preferences of occupants, we predicted the OS for each subject with higher accuracy by a factor of 2.6 compared with the prediction performed using the weighted average method. Total energy consumption was reduced by approximately 10 % in the EV equipped with local infrared radiant warmers while providing OS that was comparable with that of the HVAC system.
석탄 가스화기 내벽의 슬래그 유동 해석 및 열전달 모델링
예인수(In-Soo Ye),류창국(Changkook Ryu),김봉근(Bongkeun Kim) 한국연소학회 2013 KOSCOSYMPOSIUM논문집 Vol.2013 No.12
In a commercial coal gasifier, coal ash turns into slag forming solid and liquid layers on the wall, protecting the membrane tubes from excessive heat flux and damage. In order to overcome the limitation of conventional analytical model for the slagging wall, a comprehensive numerical model was established in this study. The model solves the mass, momentum and energy equation for a liquid slag layer adopting the control volume method on a 2-dimensional cylindrical system. The performance of the model was evaluated using an Excel/VBA code for various operating conditions of heat flux and slag deposition from the syngas. The model reasonably predicted the thickness, velocity, temperature of the slag layers, and resultant heat flux to the membrane wall. Further study is required to combine this model with the gas-side model for a gasifier and to investigate the detailed gas-slag interactions.