• Spatial Information Research
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• v.16 no.4
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• pp.441-453
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• 2008

With the rapid progress of location based services, GIS, and ubiquitous computing technologies, the space that we are dealing with is no longer limited to outdoor space but being extended to indoor space. Indoor space has some differences from outdoor space, therefore to provide integrated spaces and seamless services, it is required to establish new theories, data models, and systems. For this reason, ambitious project has been launched last year to establish a theoretical background, develop a core technologies and systems, and provide services of indoor spatial awareness. In this paper, we present an overall sketch on the project and major research topics. First, we present the ISA (indoor spatial awareness) project with its goal and research topics. Second, a simplified 3D spatial model, called prism model, is proposed as a basic data types and operators of indoor spatial DBMS. Third, a indoor feature data model, developed T. Kolbe et al. who is a member of this project team, is introduced in this paper. This model provides a basis for the integration of different spaces.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.256-258
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• 2005

최근 유비쿼터스 컴퓨팅 기술이 활발하게 연구되고 있는 실점에서 상황인지 (Context Aware)에 의한 위치 기반 서비스 (LBS : Location Based Service)와 POI(Point of Interest) 서비스가 활발히 연구되고 있다. 그러나 실외 위치 측위를 위한 GPS의 이용이 불가능한 실내 이동 환경에서는 사용자의 위치 변화 인지가 불가능하므로. 실내에서의 위치 기반 서비스를 위해서는 실내 환경에 적합한 위치측위 방식을 고려하여야 한다. 최근 물류 관리나 사용자 인증 등에 주로 사용되고 있는 RFID (Radio frequency IDentification)는 비접촉 인식 기술로서 위치 ID를 이용하여 실시간으로 실내의 위치 변화에 반응하도록 함으로써 실내 측위 시스템으로의 응용이 가능하다. 본 연구에서는 RFID를 이용해 실시간으로 위치 ID를 인지해 실내 위치 정보를 획득하고, XML 웹서비스와 벡터기반의 SVG를 이용하여 이동 클라이언트인 PDA에 사용자 위치정보를 적용한 실내 공간 정보 서비스 및 POI 서비스가 가능하도록 실내 위치 측위 시스템을 설계하고 구현하였다.

• Journal of KIISE
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• v.43 no.7
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• pp.763-772
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• 2016

With the spread of smartphones containing multiple on-board sensors, the market for context aware applications have grown. However, due to the limited power capacity of a smartphone, users feel discontented QoS. Additionally, context aware applications require the utilization of many forms of context and sensing information. If context transition has occurred, types of needed sensors must be changed and each sensor modules need to turn on/off. In addition, excessive sensing has been found when the context decision is ambiguous. In this paper, we focus on power consumption associated with the context transition that occurs during indoor/outdoor detection, modeling the activities of the sensor associated with these contexts. And we suggest a freezing algorithm that reduces power consumption in context transition. We experiment with a commercial application that service is indoor/outdoor location tracking, measure power consumption in context transition with and without the utilization of the proposed method. We find that proposed method reduces power consumption about 20% during context transition.

• Journal of Korea Multimedia Society
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• v.11 no.2
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• pp.182-196
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• 2008

The location estimation using sensor network has been considerably researched. The methods taking the differences of the forms of location estimation between indoors and outdoors into consideration have been studied. While it is possible for outdoor location to be estimated because outdoor location estimation has a consistent distribution during unit period through the value of RSSI(Received Signal Strength Indication) on outdoor location estimation, Indoor location estimation is difficult since multi-path and interference indoors are higher than those outdoors and indoor location estimation can be affected by other factors. In this paper, we revise the information of RSSI changed by multi-path and interference through the Moving Average method and K-means algorithm and propose the method of estimation for the value of RSSI with reliability in the group of signals received during unit period. We also suggest the way to put some weights on fixed nodes in network using a snooping node on location estimation and then evaluate the efficiency of location awareness as compared with the existing method by implementing proposed method on system through the reconfiguration of network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.507-510
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• 2011

As the amount of the wireless mobile products like a 'Smart phone' used increases, the studies about the Location Based Service (LBS) is highly increasing. Outdoor location determination can use the GPS which is built-in in the wireless mobile products. However, it is not possible to use GPS inside the huge cruise bigger than a normal building, it is regarded to consider Indoor location determination which is appropriate at the inside environment. Wi-Fi (Wireless Fidelity) does not need an extra installation process because it is already installed here and there inside the building. In this respect, Wi-Fi has low price competitiveness compared to other wireless sensor products. In this paper, I will introduce 'Bayesian Algorithm' which can recognize useful space with Wi-Fi signal.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.220-223
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• 2018

스마트폰의 GPS 기능으로 위치 정보를 수집하여 사용자에게 서비스를 제공하는 시스템이 많아지고 있다. 이러한 GPS 기능은 위성에서 송신된 신호로 위도와 경도를 측정하여 위치를 계산한다. 하지만, 이러한 기능은 사용자가 실외에 있을 경우에만 사용이 가능한 것으로, 실내에서는 사용이 불가능하다는 단점이 있다. 최근 상용화 되고 있는 UWB 레이더 센서는 실내외에서 사용이 가능하고, 객체 탐지 및 거리측정이 간단함과 동시에 저렴하다는 장점이 있다. 본 논문에서는 UWB 레이더 센서와 표준편차를 이용하여 거리 측정 방법을 제시하고자 한다. 제시하고 있는 방법은 레이더 센서에서 나오는 raw data를 그래프화 하여 최대 탐지 거리가 몇 m 인지 파악하고, 파악된 최대 감지 거리를 일정 구간으로 나누어 구간별 거리를 측정한다. 그 후 표준편차 공식을 이용하여 객체의 유무를 판단한다. 실험 결과에서는 제시하는 방법으로 최대 거리 9.7m에서 최대 오차 0.27m 이내로 측정되는 것을 확인하였다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.63-73
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• 2007

This paper proposes an illuminant-adaptive reproduction method using light adaptation and flare conditions for a mobile display. Displayed images in daylight are perceived as quite dark due to the light adaptation of the human visual system, as the luminance of a mobile display is considerably lower than that of an outdoor environment. In addition, flare phenomena decrease the color gamut of a mobile display and de-saturating the chroma. Therefore, this paper presents an enhancement method composed of lightness enhancement and chroma compensation. First, the ambient light intensity is measured using a lux-sensor, then the flare is calculated based on the reflection ratio of the display device and the ambient light intensity. To improve the perceived image, the image's luminance is transformed by linearization of the response to the input luminance according to the ambient light intensity. Next, the displayed image is compensated according to the physically reduced chroma, resulting from flare phenomena. This study presents a color reproduction method based on an inverse cone response curve and flare condition. Consequently, the proposed algorithm improves the quality of the perceived image adaptive to an outdoor environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.829-835
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• 2017

Recently, the health issues triggered by fine dust matters occurred in higher frequency. Having adverse effects on health, particulate matters affect the human body indoors as well as outdoors. There is thus a need for a system to measure the concentration of particulate matters and control harmful particulate matters for human health in the indoor spaces where people live. The present study applied Internet of Things(IoT) technologies in order to increase the efficiency of the conventional fine dust measurement system. Especially, for the bidirectional communication environment, directly construct a separate server and applied to the system instead of a free cloud server also we used it directly in the school lab and home. When the proposed system is used in schools and homes, it can recognize the indoor environment quickly and it is expected that this will gradually contribute to the health of the individual. Users can also check the server data outside and deal with the current indoor situations.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.278-288
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• 2010

In this paper, we carried out quality assessment and analysis of stereoscopic 3D Television pictures according to ITU-R contribution and recommendation by rating scales using DSCQS (Double-Stimuli Continuous Quality Scale) method. The evaluation results show that overall quality and sharpness of stereoscopic pictures revealed almost no difference compared to cases of mono pictures as to natural outdoor scenes, graphic images, and indoor scenes (about 3.0 above ~ 4.0), but depth perception and sensation of reality of stereoscopic images exhibit better quality performance over mono images as indicated more than 4.0 out of 5.0 grade. Evaluation results should be considered as human factors such as disparity when shooting and/or editing 3DTV.

• Journal of agricultural medicine and community health
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• v.46 no.2
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• pp.78-88
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• 2021

Objectives: This study aimed to investigate health risk awareness pertaining to fine dust exposure and the use of face masks in farmers, as well as their attitude toward education regarding fine dust-related respiratory disease prevention. Methods: In total, 295 farmers were interviewed in a survey using a structured questionnaire to obtain data on general characteristics, farming-related characteristics, health risk awareness pertaining to fine dust exposure, attitude toward education on fine dust-related respiratory disease prevention and the use of face masks. This study was analyzed the correlation between the perceived susceptibility to fine dust exposure and willingness to participate in education on fine dust-related respiratory disease prevention. Results: The mean score for perceived susceptibility to fine dust exposure was 3.8 (out of 5), and the participants were highly willing to receive education on fine dust-related respiratory disease prevention. In Multiple response analysis of reactions to exposure to fine dust generated during work, 221 participants responded that they practiced at least one preventive action; participants gave a positive response to "wearing masks" (56.1%), "personal hygiene, such as hand washing." (52.9%). In terms of education methods, 94 (33.6%) participants preferred to learn online or via text messages. Conclusions: The significant correlation between the perceived susceptibility to fine dust exposure and willingness to participate in education on fine dust-related respiratory disease prevention shows the importance of promoting education on prevention. The results of this study can help understand as reference for education on fine dust-related respiratory disease prevention.