• 설비공학논문집
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• 제24권11호
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• pp.751-758
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• 2012

Recently, people are paying attention to new forms of construction. For example, deviated from an enclosed type space, people have been interested in an atrium type and an arcade type spaces. In this study, we had hypothesis 'Indoor thermal environment will be influenced by the inflow rate of natural lights with temperature and humidity.' We selected a multi-complex cultural center and conducted this study. This place is consisted of atrium, arcade, and enclosed types. The three spaces were classified according to the type of spaces that have own features along with their forms. The atrium type space has ceiling and the side windows, and the arcade type space has ceiling windows. On the other hand, there are no windows or open parts in the enclosed type space. Three measurement points at each space were selected because of their huge space. Intensity of illumination, temperature and humidity were confirmed by the average value of three measurement points. In addition, surveys were conducted regarding indoor comfort elements in each space.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.347-349
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• 2009

Air quality of indoor space environment is affected by various pollutants like as particles and chemical stuffs. The indoor air pollution affects directly the human respiration organs to cause consequently unpleasant mental status. The $CO_2$ concentration level is one of the harmful components of air pollutants. Major factor to increase the $CO_2$ concentration level is the people's breath amount in indoor. The car exhaust gas diffused from the around road also has strong affect on $CO_2$ concentration. There are some other reasons to affect the $CO_2$ concentration change, such as, real-time change of the population movement, closeness to the indoor air flow inlet window and changes in road car traffic amount. A remote monitoring system to measure environmental indoor air pollution concerning on the $CO_2$ concentration was studied and installed realized set-up model. Zigbee network configuration was applied for this system and the $CO_2$ concentration data were collected through USN network. A software program was developed to assure systematic analysis and to display real-time data on web pages. For the experimental test various condition was set up, like as, window opening, stopping air condition operation and adjusting fan heater work, etc. The analysis result showed the relation of various environmental conditions to $CO_2$ concentration changes. The causes to increase $CO_2$ concentration were experimentally defined as windows closing, the stopping air condition system, fan heater operation. To keep the $CO_2$ concentration under the legally required ppm level in public access indoor space, the developed remote measurement system will be usefully applied.

• 한국정보통신학회논문지
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• 제15권5호
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• pp.1045-1052
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• 2011

최근 복합 문화 시설이 증가하면서 지하 공간 활용이 확대됨에 따라, 사용자의 실내 위치에 따른 주변 정보만을 무선으로 제공해주는 맞춤형 서비스에 대한 요구도 확산되고 있다. LED 조명을 이용한 가시광 통신 방식의 경우, GPS를 사용할 수 없는 실내 공간에서 위치 기반 서비스를 구현하기에 적합하다. 이에 본 논문에서는 가시광 통신을 이용한 실내 위치 기반 서비스를 구현하기 위해 기준 위치를 구분하는 실험에 대해 다룬다. LED 조명의 특성을 고려하여 LED와 PD 간의 각도 및 거리에 따라 LED 조명별로 서로 다른 식별 패턴을 ASCII 코드로 전송한 결과 최대 1.75m의 거리까지 LED 조명의 식별자를 수신할 수 있음을 확인한다. 이러한 실험 결과를 통하여 LED 조명을 이용한 실내 네비게이션의 가능성을 확인해볼 수 있다.

• 한국측량학회지
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• 제38권6호
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• pp.611-622
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• 2020

실내공간에 대한 측위 기술과 함께 LiDAR (Light Detection And Ranging)나 카메라와 같이 공간을 측정 장비가 발달하면서 실내공간에 대한 분석과 탐색, 가상현실이나 증강현실을 통한 시각화 서비스에 대한 수요가 증가하고 있다. 이를 위해서는 실제 세계로부터 측정된 데이터를 이용하여 3차원 객체로 모델링하는 작업이 필요하다. 또한 이렇게 구조화된 데이터의 가용성과 상호운용성을 높이기 위하여 표준화된 규격으로 저장하는 것도 매우 중요하다. 본 논문에서는 LiDAR 장비를 통해 획득한 포인트 클라우드 데이터를 이용하여 실내공간을 표현하기 위한 국제표준인 IndoorGML 데이터를 자동적으로 구축하는 방법을 제안하고자 한다. IndoorGML 데이터를 구성하는 과정에서 고려해야 할 점들을 살펴본 후, 자유공간추출과 연결성 검출 과정으로 이루어진 데이터 구축 과정을 통하여 실제로 IndoorGML 데이터를 구축한다. 실험을 통하여 제안 기법이 입력 포인트 클라우드로부터 3차원 데이터 모델을 효과적으로 재구성할 수 있음을 검증한다.

• 인터넷정보학회논문지
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• 제19권3호
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• pp.43-48
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• 2018

본 논문은 DNN(Deep Neural Network)와 슈퍼픽셀을 이용한 실내 공간 인식 알고리즘을 제안한다. 영상으로부터 실내 공간 인식을 위해 우선 영상 분할을 위한 세그멘테이션 프로세스가 필요하다. 이를 위해 본 논문에서는 적당한 크기로 나눌 수 있는 슈퍼 픽셀 알고리즘을 이용해 세그멘테이션을 수행한다. 각 세그먼트를 인식하기 위해 세그먼트마다 제안하는 방법을 이용하여 특징을 추출한다. 추출된 특징들을 DNN을 이용하여 학습하고, 학습으로부터 추출된 DNN모델을 이용하여 각 세그먼트를 인식한다. 실험 결과를 통해 제안하는 방법과 기존의 알고리즘과의 성능 비교 분석을 한다.

• 한국안전학회지
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• 제29권3호
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• pp.85-90
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• 2014

The purpose of this study is to analysis the 3 differential size of the interior space for impulse noise. To achieve this goal the 3 kinds (27, 35, $50m^3$) of interior space were performed comparing the impulse noise. Result of this study, the standard error of the mean peak sound pressure of value from 0.19 to 0.27dB and there was no significant difference (p<0.01). And B-duration is significant differences (P<0.01) range from 3.98 to 7.93ms. This is respectively less than 10ms. These findings are confirmed in accordance by the 3 differential space size of the indoor-impulse noise due to 0.3 dB or less, so there was no difference to the operational influence. And also below 100 Hz were found fundamental mode frequency analysis. Results were matched with calculated theoretical values.

• 한국인터넷방송통신학회논문지
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• 제22권1호
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• pp.77-82
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• 2022

실내공기오염이 인체에 미치는 영향이 실외공기오염보다 더 크며 위험하다. 일반적으로 사람은 실내에 머무는 시간이 길고, 밀폐된 실내는 오염물질이 지속적으로 쌓여 오염된 공기가 폐에 더 잘 전달된다. 특히 어린 아이들의 경우 실내공기에 매우 민감하며 치명적이다. 이와 더불어 코로나19로 인한 더 잦은 실내활동과 지속적으로 증가하는 외부 미세먼지와 함께 환기를 못하는 현재 실내공기오염을 줄이는 방법은 더욱 중요해지고 있다. 본 논문은 기존 자율주행 공기청정 로봇의 문제점을 개선하고자 지도를 분할과 UCT(Upper Confidence bounds applied to Trees) 기반의 알고리즘을 통해 자율주행 로봇이 구역을 살균하지 않거나 한곳에 계속 머무르는 문제점과 실내공기오염에 취약한 아이들의 문제를 개선할 수 있는 그린 스마트 스쿨을 위한 공간 적응형 자율주행 공기청정 로봇을 제안한다.

• 한국실내디자인학회논문집
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• 제16권2호
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• pp.303-313
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• 2007

Nowadays, according to many studies, indoor space's pollution level is two to ten times higher than outdoor space's. This result arouses our attention. The major causes of deterioration of indoor air quality are the lack of ventilation caused by draught-proofing and insulation construction, and harmful chemical substances emitted from building materials, office machine and furniture. Therefore, we are continuing research to find the method for healthful house and production of many forms of well-being goods. However, because of exaggerated advertisements and the lack of accurate information, consumers choose the products whose performance is not verified. Therefore, this study investigates the actual conditions of pollution by building materials and the extent of the health damage by this pollution, and suggests the method for minimizing indoor pollution in aspect of indoor environment control and the use of environment friendly materials. But the building materials presented in this study are limited to the environment friendly construction materials that are in circulation In domestic market because this research is primarily aimed to give domestic consumers the standard for selecting this materials.

• 반도체디스플레이기술학회지
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• 제23권1호
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• pp.71-78
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• 2024

In indoor environments, since global positioning system (GPS) signals can be blocked by obstacles, such as building structure. the performance of GPS-based positioning methods can be degraded because of the loss of GPS signals. To solve this problem, various localization schemes using inertial measurement unit (IMU) sensors, such as gyroscope, accelerometer, and magnetometer, have been proposed to enhance the positioning accuracy in indoor environments. IMU-based positioning methods can estimate the location of the user by calculating the velocity and heading angle of the user without the help of GPS. However, low-cost MEMS IMUs may lead to drift error and large bias. In addition, positioning errors in IMU-based positioning approaches can be caused by the irrelevant motion of the pedestrian. In this study, we propose an enhanced indoor positioning method that provides more reliable localization results by using the camera, light detection and right (LiDAR), and ARKit framework on the iPhone. Through reliable positioning results and augmented reality (AR) experiences, our indoor positioning system can provide indoor space guidance services.

• 한국환경보건학회지
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• 제38권3호
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• pp.213-222
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• 2012

Objectives: This study was undertaken in order to evaluate by work space zoning and structure the concentrations of biological contaminants in the indoor air of domestic office buildings. Methods: Air samples were collected in the office spaces of 15 office buildings in Seoul from June 28 to July 28, 2011. Prior to the sampling, each office was classified into 'open-plan office', 'cellular office' and 'mixed office' according to the work space zoning. To evaluate the biological contamination of indoor air, total suspended bacteria (TSB), Gram positive bacteria (GPB), Staphylococcus aureus (S.A), Methicillin-resistant Staphylococcus aureus (MRSA), Gram negative bacteria (GNB) and fungi were investigated. During the sampling, temperature, relative humidity and carbon dioxide ($CO_2$) were measured. Results: The TSB concentrations ($GM{\pm}GSD$) were $452({\pm}1.3)cfu/m^3$ in open-plan offices, $366({\pm}1.3)cfu/m^3$ in cellular offices and $287({\pm}1.5)cfu/m^3$ in mixed offices, and there were significant differences between the three groups (p<0.05). The highest concentrations ($GM{\pm}GSD$) of fungi were found in the indoor air of cellular offices $128({\pm}1.0)cfu/m^3$, which was at least three times higher than the concentrations in mixed offices $43({\pm}1.0)cfu/m^3$ (p<0.05). Conclusions: Microbiological contamination in the indoor air of office buildings by work space structure was the highest with the open-plan office layout which includes no high walls or doors separating the occupants.