• Title/Summary/Keyword: 실내 공간데이터

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A Study on Interior Wall Color based on Measurement of Emotional Responses (감성 측정에 따른 실내 벽면 색채에 관한 연구)

  • Kim, Ju-Yeon;Lee, Hyun-Soo
    • Science of Emotion and Sensibility
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    • v.12 no.2
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    • pp.205-214
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    • 2009
  • This paper addresses analyzing affective color data for emotional interior design. Both the physical and psychological patterns for spatial colors were tested on thirty subjects, of which fifteen were male. All subjects participated in both the physiological and psychological experiments. The data on the reflecting subjects' affective moods is gathered through EEG physical experiments and SD (Semantic Differential Scale) method surveys. This research has suggested the relation of both experiments through affective color response. The methods of SPSS 10.0 and TeleScan Version 2 are used for analyzing response data to coordinate the colour palette with changeable moods. From the analysis of statistical data, all of the visual stimuli related emotional keywords and physiological responses. Finally, the initial goal of this research is to construct an affective colour database that is tested through human color perception by physical and psychological experiments.

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An Implementation of Real-Time Monitoring System using HCHO-senosr data on USN (포름알데히드 센서데이터를 이용한 실시간 모니터링 시스템 구현1))

  • Kang, Won-Seok;Lee, Dong-Ha;Cho, Wan-Kuen
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.987-990
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    • 2008
  • 센서 데이터들을 실제 IT 환경 하에서 데이터 처리하기 위해서 네트워크 인프라 환경으로 USN(Ubiquitous Sensor Network) 환경이 많이 연구되어지고 있다. 이들 환경은 온도, 소리, 진동, 습도등 생활 주변의 정보를 수집하여 이에 발생된 데이터들을 특정 시스템에서 처리하여 주변상황 상태등을 인식 및 관리를 하는데 목적을 둔다. 기존 USN 기술은 주로 네트워킹 관점의 연구가 활발히 수행되어지고 있다. USN은 미래 유비쿼터스 사회를 위한 기반 인프라로 국가적으로 기술 개발을 추진 중에 있으며 다양한 시범 서비스를 추진 중에 있다. 최근에는 환경, 에너지 등의 미래 신 성장 산업 분야에서 환경문제를 해결할 수 있는 기술 개발을 전략적으로 추진 중에 있다. 본 논문에서는 다양한 건축자재 및 생활 용품에서 배출되고 실내공간, 사무실, 주거지 등 일반 환경에서 보편적으로 존재하는 인체유해물질인 포름알데히드(HCHO) 오염농도를 수집 할 수 있는 센서네트워크 환경을 구축하고 수집된 HCHO 센서 데이터들을 이용하여 주변 사람들에게 위험정보를 제시하는 한 시스템으로 ET-IT 융합 시스템인 실시간 모니터링 시스템을 제시한다.

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

  • Shin, Donghyeop;Kim, Incheol
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.5
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    • pp.205-212
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    • 2019
  • Scene graph is a kind of knowledge graph that represents both objects and their relationships found in a image. This paper proposes a 3D scene graph generation model for three-dimensional indoor environments. An 3D scene graph includes not only object types, their positions and attributes, but also three-dimensional spatial relationships between them, An 3D scene graph can be viewed as a prior knowledge base describing the given environment within that the agent will be deployed later. Therefore, 3D scene graphs can be used in many useful applications, such as visual question answering (VQA) and service robots. This proposed 3D scene graph generation model consists of four sub-networks: object detection network (ObjNet), attribute prediction network (AttNet), transfer network (TransNet), relationship prediction network (RelNet). Conducting several experiments with 3D simulated indoor environments provided by AI2-THOR, we confirmed that the proposed model shows high performance.

A laboratory pressurized vane test for evaluating rheological properties of excavated soil for EPB shield TBM: test apparatus and applicability (EPB 쉴드 TBM 굴착토의 유동학적 특성 평가를 위한 실내 가압 베인시험: 장비 개발과 적용성 평가)

  • Kwak, Junho;Lee, Hyobum;Hwang, Byeonghyun;Choi, Junhyuk;Choi, Hangseok
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.5
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    • pp.355-374
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    • 2022
  • Soil conditioning improves the performance of EPB (earth pressure balance) shield TBMs (tunnel boring machines) by reducing shear strength, enhancing workability of the excavated soil, and supporting the tunnel face during EPB tunnelling. The mechanical and rheological behavior of the excavated muck mixed with additives should be properly evaluated to determine the optimal additive injection condition corresponding to each ground type. In this study, the laboratory pressurized vane test apparatus equipped with a vane-shaped rheometer was developed to reproduce the pressurized condition in the TBM chamber and quantitively evaluate rheological properties of the soil specimens. A series of the pressurized vane tests were performed for an artificial sand soil by changing foam injection ratio (FIR) and polymer injection ratio (PIR), which are the injection parameters of the foam and the polymer, respectively. In addition, the workability of the conditioned soil was evaluated through the slump test. The peak and yield stresses of the conditioned soil with respect to the injection parameters were evaluated through the rheogram, which was derived from the measured torque data in the pressurized vane test. As FIR increased or PIR decreased, the workability of the conditioned soil increased, and the maximum torque, peak stress, and yield stress decreased. The peak stress and yield stress of the specimen from the laboratory pressurized vane test correspond to the workability evaluated by the slump tests, which implies the applicability of the proposed test for evaluating the rheological properties of excavated soil.

The study of the evaluating equipment development for the surface of the road pavement (포장 도로면 평가 장비 개발에 관한 연구)

  • Kim, Seok-Won;Kim, Ho-Seong
    • Proceedings of the KIEE Conference
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    • 2004.07c
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    • pp.2011-2013
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    • 2004
  • 본 논문은 그루빙(grooving),타이닝(tinning),텍스쳐(texture) 등의 포장 도로의 표면 상태를 고성능의 레이저 변위센서를 사용하여 정밀하게 측정하고, 측정한 표면 상태를 객관적으로 평가하는 장비 개발에 관한 논문이다. 본 논문에서는 실제 평가 장비 차량을 만들기에 앞서 전체 시스템을 설계하고, 실내에서 차량과 도로의 모사 장비를 만들어 실험하였다. 본 실험에서는 오실로스코프와 DAQ (Data Aquisition) 보드를 사용하였다. LabView로 선호처리 프로그래밍을 하여 컴퓨터 화면에 GUI 형태로 나타내었다. 측정 데이터는 컴퓨터의 저장 공간에 저장하여 후처리를 가능하게 하였다. 또한, 실제 평가 장비 차량에 장착하게 될, GPS(Global Positioning System) 시스템으로 부터 실시간으로 평가 장비 차량의 이동거리 데이터를 얻었다. 실험 결과 차량이 80km/h로 주행할 때 도로 표면 타이닝의 폭과 깊이가 평균 9.67% 오차를 보였으며, 이동거리는 0.03% 이내의 오차를 보여 만족할 만한 결과를 얻었다.

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Development of Hybrid Spatial Information Model for National Base Map (국가기본도용 Hybrid 공간정보 모델 개발)

  • Hwang, Jin Sang;Yun, Hong Sik;Yoo, Jae Yong;Cho, Seong Hwan;Kang, Seong Chan
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.4_1
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    • pp.335-341
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    • 2014
  • The main goal of this study is on developing a proper brand-new data of national base map and Data Based(DB) model for new information technology environments. To achieve this goal, we generated a brand-new Hybrid spatial information model which is specialized in the spatio-temporal map structure, the framework map for information integration, and the multiple-layered topology structure. The DB structure was designed to reflect the change of objections by adding a new dimension of 'time' in the spartial information, while the infrastructure was able to connect/converge with other information by giving the unique ID and multi-scale fusion map structure. Furthermore, the topology and multi visualization structure, including indoor and basement information, were designed to overcome limitations of expressing in 2 dimension map. The result from the performance test, which was based on the Hybrid spatial information model, confirms the possibility in advanced national base map and conducted DB model through implementing various information and spatiotemporal connections.

The effect of preference color of children's hospital lobby on the visual attention (어린이병원 로비공간에서 선호 색채가 시지각 주의집중에 미친 영향)

  • Cho, Eun Kil;Son, Kwang Ho
    • Korea Science and Art Forum
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    • v.23
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    • pp.347-358
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    • 2016
  • The design of children's hospitals is highly dependent on color schemes. As a space shared together by both adults and children, the design of children's hospitals require color coordination that takes account of the users' characteristics. However, because the majority of prior research on color perception has focused overly on the emotional aspects, there is a necessity for more rational and scientific analyses to identify the characteristics of the visual perception of colors. Adopting this perspective in analyzing the characteristics of the visual perception of colors, this study aims to move beyond the abstract to focus on more objective methods, such as eye-tracking experiments, to examine the characteristics of hospital visitors' visual attention with respect to colors. Visual perception tracking experiment was conducted on the 2 chosen experimental images with a target group made up of adults and children, the following results were found. Firstly, spaces created with the preference colors of the different groups were found to develop a characteristic of developing higher attention. Secondly, observing the common tendencies for attention for adults and children, the highest region for visual concentration was formed towards the middle, as attention progresses to lower stages visually focused area changes in the order of upper-middle, left and right, and lower regions and edge regions show characteristics of not triggering attention Thirdly, it is understood that children's level of attention drops a lot faster than adults when identifying space therefore it is suspected that children need more elaborate color coordination than adults.

Real-time PM10 Concentration Prediction LSTM Model based on IoT Streaming Sensor data (IoT 스트리밍 센서 데이터에 기반한 실시간 PM10 농도 예측 LSTM 모델)

  • Kim, Sam-Keun;Oh, Tack-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.310-318
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    • 2018
  • Recently, the importance of big data analysis is increasing as a large amount of data is generated by various devices connected to the Internet with the advent of Internet of Things (IoT). Especially, it is necessary to analyze various large-scale IoT streaming sensor data generated in real time and provide various services through new meaningful prediction. This paper proposes a real-time indoor PM10 concentration prediction LSTM model based on streaming data generated from IoT sensor using AWS. We also construct a real-time indoor PM10 concentration prediction service based on the proposed model. Data used in the paper is streaming data collected from the PM10 IoT sensor for 24 hours. This time series data is converted into sequence data consisting of 30 consecutive values from time series data for use as input data of LSTM. The LSTM model is learned through a sliding window process of moving to the immediately adjacent dataset. In order to improve the performance of the model, incremental learning method is applied to the streaming data collected every 24 hours. The linear regression and recurrent neural networks (RNN) models are compared to evaluate the performance of LSTM model. Experimental results show that the proposed LSTM prediction model has 700% improvement over linear regression and 140% improvement over RNN model for its performance level.

Microscopic Evacuation Simulation in Large-scale Buildings using EgresSIM (EgresSIM을 이용한 대형건축물의 미시적 대피시뮬레이션)

  • Kwak, Suyeong;Nam, Hyunwoo;Jun, Chulmin
    • Journal of the Korea Society for Simulation
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    • v.25 no.1
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    • pp.53-61
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    • 2016
  • This paper introduces 'EgresSIM', which is microscopic evacuation simulation software. EgresSIM developed in this paper is a three-dimensional (3D) pedestrian evacuation simulator based on the improved model advanced from the floor field model(FFM), a microscopic pedestrian model. This software can simulate large size buildings that consist of a number of floors, stairs, rooms, and exit doors. Moreover, this software can arrange several hundreds or thousands of pedestrians in indoor space and check their movements through the 3D viewer in real time, as well as produce detailed results about evacuation situations such as which paths are employed by individual pedestrians, how long does it takes to evacuate, and how many evacuees are gathered at each of the exit doors. Building data needed in the simulation are constructed as XML files according to pre-defined indoor data models and information of simulation results is also created as XML log files. A moving pattern of pedestrians can be represented in many ways by adjusting the sensitivity parameters of two walk models supported by EgresSIM. Thus, evacuation simulation can be done based on many assumptions of situations such as movement to the nearest exit door or blackout after outage.

Measurement of ground behaviour due to tunnelling using No-target program in laboratory model test (실내모형시험에서 No-target 프로그램을 이용한 터널 굴착으로 인한 지반거동 측정)

  • Lee, Jong-Hyun;Lee, Chang-No;Lee, Yong-Joo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.3
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    • pp.397-418
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    • 2019
  • It is very important to understand and analyze the interactive behaviour between ground and adjacent structures due to tunneling. With many technological advancement in modern society, numerous methods for analyzing the interactive behaviour are used in a wide range of civil engineering fields. Close range photogrammetry is mainly being used in the field of geotechnical engineering and research on measuring methods associated with GeoPIV has been currently increased. Originally, the close range photogrammetry using target points and aluminum rods for VMS (Vision Measurement System) program has been used. However, applying this has a problem that external errors can be occurred because the target points are artificially installed by hand, and if the grid between points is being wider or narrower, deficient data can be obtained. Therefore, in this study, MATLAB-based No-target program that can analyze displacement without using target was developed. Additionally, this study focused on comparison and verification with existing program through numerical analysis and laboratory model test. Three cases of Greenfield condition, Strip foundation, and Pile foundation were analyzed. From results of VMS program and No-target program, the error rate and reliability of the total displacement and the vertical displacement were analyzed. It was also compared and verified through the finite element numerical program, PLAXIS.