http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
안민희,최창호,Ahn, Min-Hee,Choi, Chang-Ho 한국태양에너지학회 2007 한국태양에너지학회 논문집 Vol.27 No.3
This paper addresses the indoor air quality when radiant floor heating is applied in large space. Radiant heat exchange between surfaces depends on the orientation and the temperature of the surfaces. Also, the temperature and the radiant characteristic of the wall and the roof that face the floor have great influence on the indoor air environment due to the largeness of the wall and the roof in large spaces. In this study, we simulate a test-cell(25X20X10) using a ies YE And using a CFD(microflo in VE), an indoor air environment was investigated to establish the optimum temperature of floor. At the first time of the heating, high floor temperature is demanded. At the middle of the heating, however, the temperature of the residential space was formed appropriately, although the temperature of the floor was set low.
뇌파기반 항스트레스 지수에 의한 직장인의 스트레스 반영도 분석
안민희(Ahn, Min-Hee) 한국산학기술학회 2010 한국산학기술학회논문지 Vol.11 No.10
뇌파는 시시각각 변하는 뇌 상태를 가장 효과적으로 측정하는 수단이다. 뇌는 신진대사의 근간인 호르몬과 직접적인 관계가 있으므로 뇌파와 호르몬간의 영향관계를 규명할 필요가 있다. 본 연구는 뇌파만으로 신진대사와 관 련된 정보의 산출이 가능함을 밝히는 연구를 수행하였다. 주요 연구변수는, 2007년 3월 3일부터 5월 28일까지 측정한, 직장인 여성들의 스트레스 정보인 뇌파 항스트레스 지수와 코티졸 호르몬 농도이다. 이들 간의 영향관계를 밝히고자, 뇌파훈련 전후에 대한 t검증, 상관분석, 회귀분석을 주된 연구방법으로 수행하였으며, 다음과 같은 결과가 도출되었다. 첫째, 뇌파훈련에 의해 변수들의 변화에 대한 유의한 차이가 검증되었다. 둘째, 변수들 간에 상관성이 존재함을 규명 하였다. 마지막으로 회귀분석에서, 변수들 간에 영향력이 있는 것으로 파악되었다. 그러므로 뇌파분석만으로도 호르몬 분석수준의 스트레스 정보를 제공할 수 있다는 결론에 도달하였다. Brainwave can be the most effective means of detecting the state of the brain that changes moment by moment. Since brain has closed relations with hormones which are a foundation of metabolism, it needs to examine closely the mutual relationship between brainwave and hormone. We examined the possibility to find out such information about metabolism by comparing brainwave with cortisol hormone. The major variables are anti-stress quotient of brainwave and cortisol density which give stress information of the working women, to measure from March 3 to May 28, 2007. To find out the relationship between them, we performed such statistical analysis about the before and after of brainwave training as t-test, correlational analysis and regression analysis. We obtained following results: First, considerable changes of variables is shown by brain-wave training. Second, there exist a correlation between variables. Third, according to regression analysis, influence between variables is verified. Thus, we found that stress information of hormone analytical level can be obtined only through brainwave analysis.
3-Tier 클라이언트/서버 모델 기반 스마트 뇌파케어시스템의 개발
안민희(Ahn, Min-Hee),박병운(Park, Pyung-Woon),양해술(Yang, Hae-Sool) 한국산학기술학회 2009 한국산학기술학회논문지 Vol.10 No.9
뇌파연구는 비교적 안전하게 뇌상태에 관한 다양한 정보를 제공한다. 상담자나 피검자는 뇌파의 측정, 분석, 관리 등 일련의 과정에 대해 편리하게 사용자 TCO를 절감할 수 있어야 하고, 원하는 정보에 실시간 접근이 가능해야 한다. 기존 환경이 전문가의 판단에 따른 수작업 형태였다면, 본 논문이 제안한 시스템은 3-Tier 클라이언트/서버 IT기 술 및 BQT를 포함하는 뇌파기술을 융합하고 최적화시킨 스마트 뇌파케어시스템이다. 이 시스템은 편리한 웹 인터페 이스를 통해 전 과정을 완전히 자동화하여 실시간서비스를 실현하였다. 본 연구로 개발된 이 시스템은 현재, 필드에서 서비스를 진행하고 있으며, DB에 수집된 자료는 연구자들에게 임상연구의 용도로 제공되고 있다. The brain-wave research provides relatively various information for brain condition in safety. The counselor or measuree will must easily reduce user TCO about the series of process for the measurement, analysis, and management of brain-wave, and can access to the desired information in real time. While the traditional method for brain-wave process was processed manually by the judgment of a specialist. In this paper the developed system is smart brain-wave care system based on optimizing and combining the 3-Tier client/server by IT with brain-wave technology including BQT. This system was developed in the real-time service with a completely automated process by the conveniently web interface. Our system currently gave a service at the field, and the collected data on DB were provided to researchers for the use of clinical research.
안민희(Ahn Min-Hee),최창호(Choi Chang-Ho),이현우(Lee Hyeon-Woo),조민관(Cho Min-Kwan) 한국태양에너지학회 2006 한국태양에너지학회 논문집 Vol.26 No.1
This paper presents an analysis of heating energy for apartment houses in apartment building, paying special attention on the effect of pilotis which is increasing recently. A four-zone model composed of one conditioned and three unconditioned space is developed in this study. IES VE is adopted to estimate heating energy. Especially, we used Apache module for a heating energy calculated. The predicted result shows fairly good agreements with the available measured data and simulation data. Heating energy needed for an apartment located on the pilotis floors is far greater compared with the case of intermediate floors. Insulation thickness of walls, floors and underground structure appears to be a dominant factor affecting heating energy, which leads to needs of revision of the related regulation. It is finally concluded that the location dependent, severe imbalance in heating energy should be improved and reflected in the policy making process and the design standards.
안민희(Min-Hee Ahn),최창호(Chang-Ho Choi),유기형(Ki-Hyung Yu),조동우(Dong-Woo Cho) 대한설비공학회 2006 대한설비공학회 학술발표대회논문집 Vol.2006 No.6
The traditional Korean Ondol System that is a radiant floor heating system was made as warm floor and cool indoor temperature. Nowaday, Ondol is developed as the hydronic floor heating system. But unbalance of floor temperature and indoor temperature is occurred because strengthen thermal insulation and airtightness in building changes thermal performance. To solve these problems, we examine actual indoor environment of heating system methods in existing apartments and present the new method of floor heating system. The existing heating system made definite indoor temperatures but floor temperatures that is 22℃-26℃was maintained. To solve these problems, we adopted the differential heating system which made warm area and cool area. A differential heating system was made different pitches of heating pipe in single zone and ratio of warm area to cool area is 1 to 2. As a result of experiments, warm area temperature is 40.7℃, cool area temperature is 36.1℃. A difference of temperature between both area is 4K. A distribution of indoor vertical temperature is similar to both warm area and cool area.