• 제목/요약/키워드: 3D Indoor Environment

검색결과 143건 처리시간 0.026초

서울시 지하역사 실내오염물질 농도자료의 통계분석을 통한 실내공기질 특성 평가 (Evaluation on Indoor Air Quality by Statistical Analysis of Indoor Air Pollutants Concentration in a Seoul Metropolitan Underground Railway Station)

  • 임봉빈;이규성;김주인;홍현수;김장원;조경호;정을규;김인규;안연순
    • 한국대기환경학회지
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    • 제30권3호
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    • pp.233-244
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    • 2014
  • The objective of this study was to explore the characteristics of concentration of indoor air pollutants, such as $PM_{10}$, $CO_2$, and $NO_2$, measured by tele-monitoring system in a Seoul Metropolitan underground railway station from January 1, 2008 to December 31, 2012. The annual average concentration of indoor air pollutants actually varied over a wide range and was found to exhibit marked variation with time and measurement sites (tunnel inlet, platform, and concourse). After installing platform screen doors, the average $PM_{10}$ concentration on platform and concourse was decreased by 43.8% and 31.2%, respectively during the study periods. The relationship between the concentration of $PM_{10}$ and meteorological parameters (relative humidity and rainfall) or the Asian dust events was regarded as statistically significant. The correlations between the number of boarding/alighting passengers and $PM_{10}$, $CO_2$, and $NO_2$ were calculated. A p-value of less than 0.01 was regarded as significant except $NO_2$. The I/O ratio of $PM_{10}$ concentration was elevated after a congested time (about 08:00 am). The average I/O ratios of $NO_2$ were observed in concourse and platform on 03:00 am with $1.76{\pm}0.91$ and $1.50{\pm}0.51$, respectively. The average daily variation of standard excess rate of $PM_{10}$ and $NO_2$ concentration in concourse and platform was investigated. The highest standard excess rate was observed on 21:00 (09:00 pm).

3D Navigation Real Time RSSI-based Indoor Tracking Application

  • Lee, Boon-Giin;Lee, Young-Sook;Chung, Wan-Young
    • Journal of Ubiquitous Convergence Technology
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    • 제2권2호
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    • pp.67-77
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    • 2008
  • Representation of various types of information in an interactive virtual reality environment on mobile devices had been an attractive and valuable research in this new era. Our main focus is presenting spatial indoor location sensing information in 3D perception in mind to replace the traditional 2D floor map using handheld PDA. Designation of 3D virtual reality by Virtual Reality Modeling Language (VRML) demonstrates its powerful ability in providing lots of useful positioning information for PDA user in real-time situation. Furthermore, by interpolating portal culling algorithm would reduce the 3D graphics rendering time on low power processing PDA significantly. By fully utilizing the CC2420 chipbased sensor nodes, wireless sensor network was established to locate user position based on Received Signal Strength Indication (RSSI) signals. Implementation of RSSI-based indoor tracking method is low-cost solution. However, due to signal diffraction, shadowing and multipath fading, high accuracy of sensing information is unable to obtain even though with sophisticated indoor estimation methods. Therefore, low complexity and flexible accuracy refinement algorithm was proposed to obtain high precision indoor sensing information. User indoor position is updated synchronously in virtual reality to real physical world. Moreover, assignment of magnetic compass could provide dynamic orientation information of user current viewpoint in real-time.

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3차원 가상 실내 환경을 위한 심층 신경망 기반의 장면 그래프 생성 (Deep Neural Network-Based Scene Graph Generation for 3D Simulated Indoor Environments)

  • 신동협;김인철
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제8권5호
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    • pp.205-212
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    • 2019
  • 장면 그래프는 영상 내 물체들과 각 물체 간의 관계를 나타내는 지식 그래프를 의미한다. 본 논문에서는 3차원 실내 환경을 위한 3차원 장면 그래프를 생성하는 모델을 제안한다. 3차원 장면 그래프는 물체들의 종류와 위치, 그리고 속성들뿐만 아니라, 물체들 간의 3차원 공간 관계들도 포함한다. 따라서 3차원 장면 그래프는 에이전트가 활동할 실내 환경을 묘사하는 하나의 사전 지식 베이스로 볼 수 있다. 이러한 3차원 장면 그래프는 영상 기반의 질문과 응답, 서비스 로봇 등과 같은 다양한 분야에서 유용하게 활용될 수 있다. 본 논문에서 제안하는 3차원 장면 그래프 생성 모델은 크게 물체 탐지 네트워크(ObjNet), 속성 예측 네트워크(AttNet), 변환 네트워크(TransNet), 관계 예측 네트워크(RelNet) 등 총 4가지 부분 네트워크들로 구성된다. AI2-THOR가 제공하는 3차원 실내 가상환경들을 이용한 다양한 실험들을 통해, 본 논문에서 제안한 모델의 높은 성능을 확인할 수 있었다.

모바일 환경에서의 입체모델을 적용한 실시간, 고속 3D 실내 추적시스템 (Real Time 3D Indoor Tracking System with 3D Model on Mobile Device)

  • 정완영;이분진;도경훈;김종진;권태하
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2008년도 추계종합학술대회 B
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    • pp.348-353
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    • 2008
  • 무선센서 네트워크 기술의 응용이 크게 증가함에 따라 저전력 IEEE 802.15.4 호환 무선방식을 활용하는 실내 위치추적기술이 최근에 큰 관심을 모으고 있다. 기존의 실내 위치감지 정보는 2D 영상 기준으로서 정보의 실질적인 전달에 제한적인 기능을 나타내었다. 본 논문에서는 PDA에 대화형 가상현실기술에 바탕을 둔 고정밀 3차원 RSSI 기반의 화면 구성에 초점을 두고있다. 개발된 시스템은 관심영역에서 RF신호의 감쇄를 계산하여 위치정보를 얻은 다음, 이를 3D 실내 가상맵에서의 사용자의 위치로 나타내도록 설계되었다. 이 연구에서는 3차원 모델링을 위해 개발된 VRML(가상현실 모델링 언어)이 3D 실내환경을 설계하는데 활용되었다.

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대학주변 원룸형 다가구주택의 실내소음수준 실태 (Present Condition of Indoor Noise Level in One-Room Type Multi-Family Housings around Campus)

  • 최윤정
    • 한국실내디자인학회논문집
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    • 제14권3호
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    • pp.191-198
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    • 2005
  • The present study is a preliminary research improving the dwelling quality of one-room type multi-family housings around the university campus. The purpose of the study is to investigate the present condition of Indoor noise level using · residents' responses and field measurements. The respondents are 104 residents living in one-room type multi-family housings. The field measurements on equivalent noise level of indoor and outdoor were carried out in 6 subject house units during the $26th\~28th$ of November 2002. The results are as follows. 1) The residents show relatively non-positive responses at evening and night on the present condition of indoor noise. 2) They answer 'living equipment foise' and 'water hammer' as major types of indoor noise of house unit. 3) Outdoor noise levels, basic factor of noise environment in 6 subject buildings were distributed $52.8\~65.3dB(A)Leq_{5min}$ and were inappropriate to the standard for environmental noise, $55 dB(A)Leq_{5min}$. 4) Indoor noise levels of subject house units were measured as $27.5\~63.5dB(A)Leq_{5min}$, the average of each house unit except one house unit was higher than the level feeling as noise, 40dB(A). 5) It was found that the differences of indoor noise levels between subject house units were caused by 'residents' living noise', 'living equipment noise', 'water hammer', and 'walking and talking noise in stairs and corridors'. 6) Therefore, it is required to plan for improving the quality of noise environment in one-room type multi-family housing around the campus. For example, soundproof construction (including double window with pair glass and balcony), outdoor garden with trees and water for increasing natural sound, interior materials with sound absorbing power to absorb living noise, soundproof pipe or double surface pipe for decreasing 'water hammer', and noiseproof floors, etc. are required.

깊이 및 컬러 영상을 이용한 실내환경의 3D 복원 (3D Reconstruction of an Indoor Scene Using Depth and Color Images)

  • 김세환;우운택
    • 한국HCI학회논문지
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    • 제1권1호
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    • pp.53-61
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    • 2006
  • 본 논문에서는 다시점 카메라를 이용하여 실내환경의 3D 복원을 위한 새로운 방법을 제안한다. 지금까지 다양한 양안차 추정 알고리즘이 제안되었으며, 이는 활용 가능한 깊이 영상이 다양함을 의미한다. 따라서 본 논문에서는 일반화된 다시점 카메라로 여러 방향에서 획득된 3D 점군을 이용한 실내환경 복원 방법을 다룬다. 첫 번째, 3D 점군들의 시간적 특성을 기반으로 변화량이 큰 3D 점들을 제거하고, 공간적 특성을 기반으로 주변의 3D 점을 참조하여 빈 영역을 채움으로써 깊이 영상 정제 과정을 수행한다. 두 번째, 연속된 두 시점에서의 3D 점군을 동일한 영상평면으로 투영하고 수정된 KLT (Kanade-Lucas-Tomasi) 특징 추적기를 사용하여 대응점을 찾는다. 그리고 대응점간의 거리 오차를 최소화함으로써 정밀한 정합을 수행한다. 마지막으로, 여러 시점에서 획득된 3D 점군과 한 쌍의 2D 영상을 동시에 이용하여 3D 점들의 위치를 세밀하게 조절함으로써 최종적인 3D 모델을 생성한다. 제안된 방법은 대응점을 2D 영상 평면에서 찾음으로써 계산의 복잡도를 줄였으며, 3D 데이터의 정밀도가 낮은 경우에도 주변화소와의 상관관계를 이용함으로써 효과적으로 동작한다. 또한, 다시점 카메라를 이용함으로써 수 시점에서의 깊이 영상과 컬러 영상만으로도 실내환경에 대한 3D 복원이 가능하다. 제안된 방법은 네비게이션 뿐만 아니라 상호작용을 위한 가상 환경 생성 및 Mediated Reality (MR) 응용 분야에 활용될 수 있다.

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교육시설 친환경 인증에서 실내 빛환경 항목 개선방안에 관한 연구 - G-SEED, LEED, BREEAM, CASBEE를 중심으로 - (A Study on the Improvement Method of Indoor Light Environment Items in Environmental Certification for Educational Facilities - Focusing on G-SEED, LEED, BREEAM, CASBEE -)

  • 이세원;이경선;김수란
    • 대한건축학회논문집:계획계
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    • 제34권5호
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    • pp.61-69
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    • 2018
  • The goal of this study is to compare the evaluation results of indoor daylight environment for each certification and propose improvement points. As the importance of indoor daylight environment has increased, foreign countries have been aware of this and have changed the light environmental certification items. On the other hand, Korea environmental certification systems have not been able to follow the current situation. In order to improve this, this study intended to find evaluation criteria for each category by comparing and analyzing indoor daylight environment certification items in Korea's G-SEED, LEED in the United States, BREEAM in the UK, and CASBEE in Japan. After that, this study simulated 3D models of three spaces about classroom, reading room and club room of Yanghyun elementary School which is scheduled to be constructed for the evaluation of indoor daylight environment, and the results were analyzed to suggest for improvement.

서울지역 공공청사 민원실의 겨울철 실내공기질에 관한 연구 (Study on Indoor Air Pollutants of Public Service Centers in Winter, Seoul)

  • 전재식;김미형;이주열;전명진;류인철;박덕신;최한영
    • 한국대기환경학회지
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    • 제27권5호
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    • pp.569-579
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    • 2011
  • This study evaluated the indoor air quality of 26 government offices located in Seoul. The pollutant samples were taken from Jan. 13th to Jan. 29th and Feb. 20th to Feb. 23rd, 2010 in the offices. The target indoor pollutants for this study were $PM_{10}$, formaldehyde, carbon monoxide, carbon dioxide, total bacteria counts, total volatile organic compounds, radon, nitrogen dioxide, ozone, and asbestos which were controlled by the indoor air quality law for the multiple-use facilities management. The results of this study showed that some pollutants of the 38.5% offices exceeded the standards of the air quality guideline. The correlation analysis of the same pollutants between indoor and outdoor represented that $NO_2$ (r=0.629, p<0.05) and $O_3$ (r=0.459, p<0.01) were significant, however, $PM_{10}$ and CO were not. The correlation analysis between different pollutants showed that CO and TVOC (total volatile organic compounds: r=0.724; p<0.01), CO and $NO_2$ (r=0.674; p<0.01), HCHO and humidity (r=0.605; p<0.01), $CO_2$ and TVOC (r=0.534; p<0.01), TBC (total bacteria counts) and Asbestos (r=0.520; p<0.01) were significant. The energy-saving system of government buildings in winter caused under-ventilated and poor air quality. This study suggests that the concentrations of radon and $CO_2$ should be used as an indicator for monitoring indoor air quality and maintaining effective ventilations.

A 3-D Propagation Model Considering Building Transmission Loss for Indoor Wireless Communications

  • Choi, Myung-Sun;Park, Han-Kyu;Heo, Youn-Hyoung;Oh, Sang-Hoon;Myung, Noh-Hoon
    • ETRI Journal
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    • 제28권2호
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    • pp.247-249
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    • 2006
  • In the development of a new wireless communications system, a versatile and accurate radio channel for indoor communications is needed. In particular, the investigation of radio transmission into buildings is very important. In this letter, we present an improved three-dimensional electromagnetic wave propagation prediction model for indoor wireless communications that takes into consideration building penetration loss. A ray tracing technique based on an image method is also employed in this study. Three-dimensional models can predict any complex indoor environment composed of arbitrarily shaped walls. A speed-up algorithm, which is a modified deterministic ray tube method, is also introduced for efficient prediction and computation.

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Integrating IndoorGML and Indoor POI Data for Navigation Applications in Indoor Space

  • Claridades, Alexis Richard;Park, Inhye;Lee, Jiyeong
    • 한국측량학회지
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    • 제37권5호
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    • pp.359-366
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    • 2019
  • Indoor spatial data has great importance as the demand for representing the complex urban environment in the context of providing LBS (Location-based Services) is increasing. IndoorGML (Indoor Geographic Markup Language) has been established as the data standard for spatial data in providing indoor navigation, but its definitions and relationships must be expanded to increase its applications and to successfully delivering information to users. In this study, we propose an approach to integrate IndoorGML with Indoor POI (Points of Interest) data by extending the IndoorGML notion of space and topological relationships. We consider two cases of representing Indoor POI, by 3D geometry and by point primitive representation. Using the concepts of the NRS (node-relation structure) and multi-layered space representation of IndoorGML, we define layers to separate features that represent the spaces and the Indoor POI into separate, but related layers. The proposed methodology was implemented with real datasets to evaluate its effectiveness for performing indoor spatial analysis.