• 한국정보통신학회논문지
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• 제17권9호
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• pp.2191-2198
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• 2013

본 논문에서는 실내 위치 인식을 고려한 RFID 기반 셀 구성 방안을 제안하였다. RFID 셀 구성을 위한 4개의 목적함수 설계 및 시뮬레이션 기반 성능 평가뿐만 아니라 RFID 리더를 실내 공간에 실제 배치하여 제안한 기법의 성능평가를 수행하였다. 성능 평가는 RFID 셀 구성에 필요한 최소 RFID 리더 수, 위치 인식이 가능한 최대 셀 영역, 셀 영역 간의 최소 중첩, 그리고 셀 영역의 최대 위치 인식 정확도 측면에서 수행되었다.

• KIEAE Journal
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• 제7권5호
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• pp.93-98
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• 2007

Effort has been performed for latest 20 years to improve resident's comfort and indoor environment in building. And interest and effort to improve indoor air environment among various indoor environment elements have continuously increased since 1990s, because it is examined scientifically that various contaminants generated indoor affect human body. Specially, indoor air contaminants generated from apartments are those exhausted from resident's indoor environment, closing materials and household. Indoor air environment in buildings is different according to pollution degree, existence availability of pollution source, ventilation amount, and meteorology. It is known that other contaminants more than about 900 kinds generate according to a kind of work or action in a room. Specially, nowadays buildings are well insulated and confidentiality-centered for environment protection and economical side. So indoor air contaminants are generated from indoor air pollution sauces of unprepared ventilation, human body carbon dioxide emissions, and various building materials. when these are accumulated in long term human body, it is harmful to resident's health, but awareness for this is very insufficient. Because bedroom is space that people inhabit for a long time by unconscious state and indoor environment occupies important part for resident's health and quality of life at sleep, the actual condition of air quality is investigated, improvement countermeasure is considered, and ventilation amount is analyzed. In this study, putting case that the most longest stayed time is sleeping time when people inhabit in the apartment, the air quality according to volume of bedroom space at sleep was measured and analyzed, and the data acquired will be the basis for improvement on this.

• 한국컴퓨터정보학회논문지
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• 제22권4호
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• pp.33-39
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• 2017

In this paper, we expand the process of classification to an ensemble of fuzzy decision tree. For indoor space recognition, many research use Boosted Tree, consists of Adaboost and decision tree. The Boosted Tree extracts an optimal decision tree in stages. On each stage, Boosted Tree extracts the good decision tree by minimizing the weighted error of classification. This decision tree performs a hard decision. In most case, hard decision offer some error when they classify nearby a dividing point. Therefore, We suggest an ensemble of fuzzy decision tree, which offer some flexibility to the Boosted Tree algorithm as well as a high performance. In experimental results, we evaluate that the accuracy of suggested methods improved about 13% than the traditional one.

• 한국환경과학회지
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• 제14권1호
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• pp.1-8
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• 2005

CFD code are used for numerically testing a new concept of large space air control system. A workshop with air-conditioners products lines and air-conditioned by several floor type air-containers is tested. The whole room air distribution is controlled by boosters installed in a middle height horizontal plane. First, calculated results are compared with measured data to confirm the validity and applicability of the prediction method. Next, the method is applied to case studies heating seasons. Results under some operating conditions show effectiveness in avoid the temperature stratification in winter.

• 한국대기환경학회지
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• 제9권3호
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• pp.236-241
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• 1993

Recently, with the ourdoor air pollution, the indoor air pollution devided into living environment and working environment are raised as the problem of indoor space. Also, the more time lived in indoor space, the larger the influence of indoor air pollution. Therefore in this study, the spatial variation of ventilation efficiency was estimated through the experiment using a physical model. The experiment using a physical model. The experiment was conducted in two category; the central zone of ventilated air flow and the corner zone. As the result of experiment, high ventilation efficiency (90$\sim$108%) was shown in the central zone of ventilated air flow. Whereas low ventilation efficiency (46$\sim$77%) was shown in the corner zone. In conclusion, when the designing of ventilation was planned, the zone showed low ventilation efficiency should be considered.

• 한국정보통신학회논문지
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• 제13권11호
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• pp.2473-2478
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• 2009

최근 디지털 아트는 이미지, 사운드, 시뮬레이션, 3차원 홀로그래피 등의 다양한 디지털 미디어를 활용하여 새로운 분야의 예술로 시도되고 있다. 이런 수많은 디지털 아트는 전시관이라는 제한된 장소와 제한된 기간에만 관객들과 접하고 있는 상황이다. 하지만 디지털 아트는 디지털 형태의 미디어를 이용할 수 있는 공간이면 실내외 어디든 활용 가능성이 있다. 디지털 아트를 활용하기 위하여 먼저 디지털 아트의 특징을 분석하였다. 디지털 아트의 상호작용성은 관객의 참여를 유발시킬 뿐 아니라 인간과 예술과의 의사소통을 가능하게 하며, 인간과 공간을 연결하는 연결고리 역할을 한다. 인간과 공간의 상호작용과 디지털 아트의 상호작용성에 중점을 두고 인간과 공간, 공간과 디지털 아트, 디지털 아트와 인간의 관계성을 연구하였다. 본 논문에서는 디지털 아트를 활용하여 실내공간디자인에 하기 위하여 필요한 상호작용성에 대해 분석하고, 인터렉티브 기반의 실내디자인에 관한 표현을 연구했다.

• 한국실내디자인학회논문집
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• 제22권5호
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• pp.233-240
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• 2013

The building construction sector has been blamed as the main culprit of environmental contamination worldwide. So, there shall be some constructive alternatives in architectural engineering. As one of the alternatives, the LEED ("Leadership in Energy and Environmental Design") has been introduced since 1990s and has been well recognized in saving the resources and energy. "LEED" has also been introduced in Korea since 2002 but it has not put priority on the eco-friendliness of indoor space. In this study, the international and domestic green systems were analyzed and compared in order to restructure the checklist for indoor space. Using the restructured checklists, the questionnaire were sent to 180 people using 6 office buildings which passed the domestic "LEED" certification. LEED certification system put priority on the air quality and heating/cooling environment in its evaluation section and items. However, according to the results of the study, it was found that the people using the buildings were not satisfied enough with the air environment of buildings along with their other indoor environment items. This shows that even though the office buildings are designed according to the requirements of LEED, the buildings do not meet the occupier's needs. In addition, it showed that the evaluation items should be improved so that they are useful to enhance the satisfaction of the occupiers' needs. The paper could be useful in establishing standard for eco friendliness of indoor space of office buildings which pass the LEED certification as the basic data for increasing energy efficiency and working efficiency of occupiers of the buildings.

• 대한임베디드공학회논문지
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• 제19권1호
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• pp.47-55
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• 2024

We spend a lot of time in indoor space, and the space has a huge impact on our lives. Interior design plays a significant role to make an indoor space attractive and functional. However, it should consider a lot of complex elements such as color, pattern, and material etc. With the increasing demand for interior design, there is a growing need for technologies that analyze these design elements accurately and efficiently. To address this need, this study suggests a deep learning-based design analysis system. The proposed system consists of a semantic segmentation model that classifies spatial components and an image classification model that classifies attributes such as color, pattern, and material from the segmented components. Semantic segmentation model was trained using a dataset of 30000 personal indoor interior images collected for research, and during inference, the model separate the input image pixel into 34 categories. And experiments were conducted with various backbones in order to obtain the optimal performance of the deep learning model for the collected interior dataset. Finally, the model achieved good performance of 89.05% and 0.5768 in terms of accuracy and mean intersection over union (mIoU). In classification part convolutional neural network (CNN) model which has recorded high performance in other image recognition tasks was used. To improve the performance of the classification model we suggests an approach that how to handle data that has data imbalance and vulnerable to light intensity. Using our methods, we achieve satisfactory results in classifying interior design component attributes. In this paper, we propose indoor space design analysis system that automatically analyzes and classifies the attributes of indoor images using a deep learning-based model. This analysis system, used as a core module in the A.I interior recommendation service, can help users pursuing self-interior design to complete their designs more easily and efficiently.

• International Journal of Internet, Broadcasting and Communication
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• 제10권4호
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• pp.75-82
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• 2018

Efforts to reduce damages from micro dust and harmful gases in life have been led by national or local governments, and information on air quality has been provided along with real-time weather forecast through TV and internet. It is not enough to provide information on the individual indoor space consumed. So in this paper, we propose a IoT-based Real-Time Air Quality Sensing Board Corresponding Fine Particle for Air Quality Management in Buildings. Proposed board is easy to install and can be placed in the right place. In the proposed board, the air quality (level of pollution level) in the indoor space (inside the building) is easy and it is possible to recognize the changed indoor air pollution situation and provide countermeasures. According to the advantages of proposed system, it is possible to provide useful information by linking information about the overall indoor space where at least one representative point is located. In this paper, we compare the performance of the proposed board with the existing air quality measurement equipment.

• 대한가정학회지
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• 제42권5호
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• pp.93-106
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• 2004

The purpose of this study is to make clear the indoor environmental efficiency and spatial function of the front balcony in apartments using responses from residents'. An interview survey carried out during the 14/sup th/∼24/sup th/ of January 2003, and a questionnaire survey was given during the 17/sup th/∼29/sup th/of January. Interviewees consisted of 31 residents living in renovated apartments, which had the front balcony added onto the living room. The respondents of the questionnaire survey consisted of 37 residents living in ordinary apartments with an existing front balcony. The residents living in ordinary apartments show relatively positive responses on the indoor thermal environment during winter, glare by daylight, and outdoor noise. The average heating charges of the renovated apartments came out to be more expensive than the ordinary apartments. In most renovated apartments, the living area converted from front balcony was used as the same functions ('space for drying the laundry', 'storage space', or 'space for cultivating of flower pots') of ordinary front balcony. From the results of this study, it is undesirable to renovate the front balcony as an addition to the livingroom.