• KIEAE Journal
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• 제10권6호
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• pp.81-89
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• 2010

This study focuses on a concrete understanding of the characteristics of perceptions and needs about healthy housing of the elderly, who represent the most vulnerable group of people in society, on the four evaluation dimensions of healthy housing as part of the research for evaluation indicators development for housing health performance in apartments. First, it was found that the elderly perceive an environment where their physical health is well supported as the most important factor for healthy housing. Additionally, the management support of the housing was perceived as the second most important consideration. Second, the most frequently used area for the elderly is the living room and a desired place to be added to indoor spaces was a room of their own or a 'living room', which clearly indicates the importance of the indoor environment for the elderly. Third, the biggest factor for the interior environment that affected the satisfaction level of the elderly in their housing was largely based on the convenience factor that helped lesson the discomfort in their daily life due to the physical aging process, and also on factors related to the pleasant indoor surroundings. Based on the concepts discovered in this study on healthy housing, more concrete items should be developed in the future for an extensive indicator for health performance evaluation, and actual research on the general public should follow suit.

• 한국산학기술학회논문지
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• 제14권2호
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• pp.681-687
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• 2013

본 연구는 학습 환경의 실내 온도와 학습재료 색채와의 조합이 학습수행에 어떠한 영향을 미치는 지를 살펴보고자 하였다. 이를 위해 학습활동 적정온도($22.5{\sim}24^{\circ}C$)를 중심으로(중립 실내 온도 조건), 그 이상인 조건(고온 실내온도 조건), 그리고 그 이하인 조건(저온 실내 온도 조건)으로 각각 실내 온도 조건을 구분하였으며, 난색계열인 빨간색과 한색계열인 파란색, 그리고 중성인 검은색과 연두색으로 각각 색채 조건을 구분하였다. 학습과 관련된 과제로는 음운 작업기억 과제를 사용하여 집단 간 실내 온도 조건에 따른 색채 조건에서의 과제 수행을 살펴보았다. 그 결과, 학습과제의 반응시간에서는 각 독립변수들에 의한 차이가 유의하지 않은 반면, 정확률에서는 색채 조건 중 빨간색과 검은색 조건에서 보다 정확한 수행이 나타났다. 이는 빨간색이 가진 현저성과 색채 온도감 및 검정색이 가진 친숙성과 다른 색에 비해 유일하게 현저성을 가지지 않는 특이성이 존재하기 때문에 나타난 결과로 해석할 수 있다.

• 한국정보통신학회논문지
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• 제13권9호
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• pp.1941-1946
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• 2009

무선 센서 네트워크는 사람을 대신해 다양한 환경에서 감시와 정보수집 역할을 수행한다. 센서네트워크는 제한된 하드웨어 자원과 낮은 무선 네트워크 대역폭을 사용한다. 이러한 특성은 통신 중 높은 에러율을 발생시키며 데이터 신뢰도 향상을 위한 오류정정 기법의 필요성이 높다. 센서노드의 환경에 따른 CRC 에러와 패턴에 대한 연구는 오류정정 기법의 적절한 기법 선택을 위한 자료가 된다. 본 논문에서는 실내환경에서 시스템 구성시 데이터 전송률에 영향을 미치는 전송주기와 센서 노드간의 거리, 전송 패킷의 크기, RF의 크기에 대한 실험을 실시한다. 실험한 결과를 바탕으로 시스템 구성에서 고려해야 하는 요소를 알아본다.

• 한국실내디자인학회논문집
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• 제18권4호
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• pp.79-87
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• 2009

Residential Buildings should provide high-quality, comfortable environments to support the activities of their occupants. The indoor environment of residential buildings, which includes thermal, lighting, acoustic, and indoor air quality, has a significant impact on health and quality of life. The comfortable living environment in residential buildings result from appropriately combining these environmental quality factors, and the performance of building systems must be compatible with the activities of the occupants. The objective of this research is to investigate and analyze the relationship between physical environmental conditions and occupant responses for improving environmental quality (EQ) in apartment buildings with four different building orientations (i.e. E, W, S, N) in two different seasons (i.e. winter and summer). The occupant survey was conducted in actual apartment buildings. The Physical environmental conditions in apartment buildings differed substantially depending on space, outdoor weather conditions and building orientations. Each space within the same apartment building had different environmental conditions. Combinations of unbalanced physical environmental conditions in apartment building decrease occupants' satisfactions and their perceptions of overall residential quality. Occupants' satisfaction and their responses to physical characteristics of their residential environment is related to thermal, lighting, acoustic, and indoor air conditions in their buildings. The result from this research will help designers and researchers to identify problems and develop solutions for improving environmental quality from the occupants' point of view.

• 한국항행학회논문지
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• 제7권1호
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• pp.30-37
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• 2003

본 논문에서는 Middleton이 제안한 A급 임펄스성 잡음이 존재하는 실내 무선 환경에서 MC (Multi-Carrier) CDMA 시스템의 BER (Bit Error Rate) 성능을 분석하였고, 임펄스성이 약한 환경에서부터 강한 환경까지 성능을 평가하였다. 그리고 임펄스성 잡음에 대한 보상 방법으로 Turbo 부호기를 사용하여 성능 개선 정도를 평가하였다. 성능 해석 결과, 임펄스성 잡음 환경에서는 강력한 성능 개선 기법이 시스템에 반드시 필요함을 알 수 있었다. 그리고 임펄스성 잡음 환경에서 터보 부호를 적용하면 BER면에서 약 $10^{-2}$정도 개선됨을 알 수 있었고, AWGN 환경에 근접할수록 터보 부호에 의한 성능 개선 효과가 뚜렷이 나타남을 알 수 있었다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2009년도 하계학술발표대회 논문집
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• pp.1267-1271
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• 2009

In the present study, performance characteristics on environment change of A/C applied fin-tube and PF heat exchangers were experimentally investigated. Capacity and COP changing an outlet air velocity, an indoor/outdoor temperature and a relative humidity were obtained. Air－enthalpy calorimeter was used. As the air velocity, indoor temperature and relative humidity increase, capacity and COP increase. PF A/C has smaller refrigerant weight than the fin-tube A/C. The performance of PF-2 A/C with the squarer fin was more excellent than that of PF-1 A/C with the triangler fin.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권1호
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• pp.41-48
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• 2014

This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environment with a differential drive robot and ultrasonic range sensor system. The analysis uses MATLAB for implementation of the MCL and investigates the effects of the control parameters on the MCL performance. The control parameters are the uncertainty of the motion model of the mobile robot and the noise level of the measurement model of the range sensor.

• 한국산학기술학회논문지
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• 제10권8호
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• pp.1789-1794
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• 2009

본 연구에서는 핀-관 열교환기와 평행류(PF) 열교환기를 실외 열교환기로 적용한 공조기의 실내외 온도/습도와 같은 환경변화에 대한 냉방성능을 비교 조사하고자 하였다. KS C 9306의 냉방표준 온도조건을 기준으로 핀-관, 2종류의 PF 열교환기를 적용한 공조기 성능변화를 이해하기 위하여 냉방능력과 COP를 획득하였다. 실험을 위해 공기엔탈피 방식의 칼로리미터를 사용하였다. PF 열교환기는 핀-관 열교환기보다 우수한 열전달 능력을 보였다. 그리고 사각형 핀을 적용한 PF형 공조기의 성능이 삼각형 핀의 경우보다 우수하였다. 실내 토출공기의 유속, 실내온도 그리고 실내상대습도가 높아질수록 냉방능력과 COP는 증가를, 실외온도가 높아질수록 냉방능력과 COP는 감소를, 그러나 실외 상대습도 증가에 따른 성능변화는 미미하였다.

• 한국가구학회지
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• 제27권3호
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• pp.246-252
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• 2016

From 2000s, modular construction has gained more attention due to many advantages such as reduction of duration, recycling. The modular structure is being used for urban regeneration recently. However, even though most facilities in the modular structures which are used as urban regeneration building are commercial spaces, exhibition spaces, eating and drinking spaces, there are lack of natural or mechanical ventilation systems. Also, there are relatively limited spaces on modular structure characteristic. Therefore, indoor environment performance of four buildings, which are performed as urban regeneration in Seoul, was evaluated by HCHO and $CO_2$ emissions. Consequently, the HCHO and $CO_2$ emissions of the commercial and exhibition spaces were confirmed that can influence on health of occupants. Therefore, the urban regeneration modular structure needs to add local ventilation systems for improvement of indoor air quality to more healthy and comfortable.

• 한국컴퓨터정보학회논문지
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• 제22권7호
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• pp.17-29
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• 2017

IRecently, researches on the recognition of indoor user situations through various sensors in a smart home environment are under way. In this paper, the case study was conducted to determine the operation of the robot vacuum cleaner by inferring the user 's indoor situation through the operation of home appliances, because the indoor situation greatly affects the operation of home appliances. In order to collect learning data for indoor situation awareness model learning, we received feedbacks from user when there was a mistake about the cleaning situation. In this paper, we propose a semi-supervised learning method using user feedback data. When we receive a user feedback, we search for the labels of unlabeled data that most fit the feedbacks collected through genetic algorithm, and use this data to learn the model. In order to verify the performance of the proposed algorithm, we performed a comparison experiments with other learning algorithms in the same environment and confirmed that the performance of the proposed algorithm is better than the other algorithms.