• Journal of Environmental Science International
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• v.31 no.10
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• pp.869-881
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• 2022

In this study, a field study was conducted to investigate the relationship between high-resolution remote images and the volumetric moisture, and the number of compaction. Changes in the shape of the surface and soil moisture content were observed and correlated with the number of compactions using roller equipment. As the compaction is repeated, the surface is flattened and the terrain curvature decreases and converges to zero. In particular, the tangential curvature changes as the number of compactions increase. Due to soil compaction, the vegetation index changed from a positive to a negative value, and most of the test site area was homogenized with a negative index. This suggests a decrease in porosity and an increase in volumetric water content associated with increasing soil compaction. Soil moisture, measured using a frequency domain reflectometry(FDR) sensor, tends to increase proportionately with the number of vibration compactions, but the correlation between the number of compactions and soil moisture is unclear. This study suggests that while it is necessary to consider the reproducibility of the experiments performed, the compaction quality of the soil can be evaluated using high-resolution terrain factors and soil moisture.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.1
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• pp.1-10
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• 2023

With the advent of the 4th industrial revolution era, interest in autonomous driving technology is increasing. Accordingly it is necessary to seek safe driving by recognizing surrounding situations using sensors attached to autonomous vehicles along with the applicability of existing traffic facilities to autonomous driving lanes and the utilization of HD maps. In this study, in order to deduce the role of sensor only physical facilities which recognized through a laser scanner on an autonomous vehicle developed to improve road and traffic infrastructure, through comparative analysis with existing road facilities such as road signs, safety signs, and gaze guidance facilities. Sign facilities can promote driving safety by allowing autonomous vehicles to perform specific actions directly. In order to promote safe driving by recognizing sign facilities by using sensors for autonomous vehicles, it is necessary to prepare standards for installation, management, and use, and it is considered that management and supervision should be carried out continuously according to the standards.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1323-1337
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• 2020

GEO-KOMPSAT-2A AMI (Advanced Meteorological Imager) radiometric calibration evaluation is an essential element not only for functional and performance verification of the payload but for the quality of the sensor data. AMI instrument consists of six reflective channels and ten thermal infrared ones. One of the key parameters representing radiometric properties of the sensor is a SNR (Signal-to-Noise Ratio) for the reflective channels and a NEdT (Noise Equivalent delta Temperature) for the IR ones respectively. Other important radiometric calibration parameters are a dynamic range and a gain value related with the responsivity of detectors. To verify major radiometric calibration performance of AMI, an offline radiometric evaluation tool was developed separately with a real-time AMI data processing system. Using the evaluation tool, validation activities were carried out during the GEO-KOMPSAT-2A In-Orbit Test period. The results from the evaluation tool were cross checked with those of the HARRIS, which is the AMI payload vendor. AMI radiometric evaluation activities were conducted through three phases for both sides (Side 1 and Side 2) of AMI payload. Results showed that performances of the key radiometric properties were outstanding with respect to the radiometric requirements of the payload. The effectiveness of the evaluation tool was verified as well.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.109-114
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• 2009

At the present time, buildings are designed higher and more complex than ever before. Therefore the potential disasters are happened such as fire, power outage, earthquake, flood, hurricanes. Their disasters require people inside buildings to be evacuated as soon as possible. This paper presents a new disaster evacuation guidance concept of inner buildings, whiche aims at integrated the constructing of a sensor network and a guidance light networks in order to provide a quick detection of disasters and accurate evacuation guidance based on indoor geo-information, and sends these instructions to people. In this paper, we present the integrated logical model based on sensor and guidance light networks for the fire disaster management in inner building using our concept. And we verify proposed logical model according to experiments with visualization and operations on map.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.270-271
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• 2010

최근 공간정보 산업의 변화와 국내외 포털의 지도서비스 및 iPhone의 국내 진출을 계기로 공간정보에 대한 수요와 정책적 요구 사항이 증가되고 있는 추세이다. 현재까지 개발된 모바일 매핑 시스템은 공공분야인 시설물 측량 및 수치지형도 수정갱신에 사용된 시스템으로 현재 민간 서비스 시장의 요구 충족에는 어려움이 따른다. 이를 위해 본 연구에서는 민간 서비스 시장 요구 충족을 목적으로 모바일 매핑 기술을 기반으로 필수 장치만 사용하여 시스템을 구성하였으며, geoSensor로 취득된 공간정보를 다양한 컨텐츠로 활용하기 위한 필수 요소인 취득 데이터간 동기화용 시각동기화 인터페이스를 구현하였다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.215-217
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• 2009

u-GIS는 기존 정적인 공간데이터와 동적인 GeoSensor 데이터를 융합하여 처리하는 시스템을 말한다. 기존 정적인 공간 데이터는 주로 2차원 공간 데이터였으며 최근 유비쿼터스 환경에서는 이를 확장한 3차원 공간 데이터 및 다차원 시공간 데이터의 요구가 급증하고 있다. 최근 국가 차원에서 3차원 공간 데이터를 구축하고 있으며 DBMS가 아닌 파일 단위로 데이터를 저장하고 관리하고 있다. 이 경우, 데이터의 중복 저장, 표준 인터페이스의 부재, 서버 중심의 데이터 제공의 어려움 등의 문제가 발생한다. 따라서 본 연구에서는 3차원 공간데이터를 효과적으로 저장 관리하기 위하여 3차원 공간 DBMS를 연구 개발하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.517-528
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• 2009

Korean Land Spatialization Program (KLSP) is a R&D program of the National GIS Project for developing ubiquitous GIS technologies under control of Ministry of Land, Transport and Maritime Affairs. The first program from 2006 to 2012, initiated with $132 million of national fund and $42 million of private matching fund. Aiming 'Innovation of the GIS technology for the ubiquitous Korean land', KLSP consists of five core research projects and one research coordination project. The coordination project's purpose is to practically utilize and commercialize the results of core research projects. Korean Land Spatialization Group (KLSG) is planning a test-bed for testing, integrating, and exhibit- ing the KLSP's outcomes. Integrations of the outcomes are mandatory for the successful KLSG Test-Bed. The main objective of this paper is to introduce KLSP test-bed and three methodologies for integration of the outcomes in KLSP. As a plan of integrations, especially, this paper proposes SWE SOS (Sensor Observation Service) prototype to achieve interoperability of the geo-sensor networks.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.231-236
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• 2009

본 연구에서는 집이나 사무실과 같은 일상 공간에서 발생할 수 있는 연간의 일상생활행위 (ADL: Activities of Daily Living) 들을 인지하는 분산 모델을 제시한다. 사용자의 환경 정보, 위치 정보 및 행위 정보를 간단한 센서들이 부착된 가정용 기기들과 가구, 식기들을 통해 무선 센서 네트워크를 통해 수집하며 분석한다. 하지만 이와 같은 다양한 기기의 활용과 충분히 분석되어지지 않은 데이터들은 본 논문에서 제시하는 일상 환경에서 고차원의 ADL 모델을 구축하기 어렵게 한다. 그러나 ADL들이 생성하는 센서 데이터들과 센서 데이터들의 순서들은 어떤 행위가, 이루어지고 있는지 인지할 수 있도록 도와준다. 따라서 이 센서 데이터들의 순서를 특정 행위 패턴을 분석하는 데 활용하고, 이를 통해 분산 선형 시간 추론 알고리즘을 제안한다. 이 알고리즘은 센서 네트워크와 같은 소규모 시스템에서 행위를 인지하는 데 적절하다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1645-1653
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• 2014

In general, RGB, NIR, and thermal images are used for obtaining geospatial data. Such multiband images are collected via devices mounted on satellites or manned flights, but do not always meet users' expectations, due to issues associated with temporal resolution, costs, spatial resolution, and effects of clouds. We believe high-resolution, multiband images can be obtained at desired time points and intervals, by developing a payload suitable for a low-altitude, auto-piloted UAV. To achieve this, this study first established a low-cost, high-resolution multiband image collection system through developing a sensor and a payload, and collected geo-referencing data, as well as RGB, NIR and thermal images by using the system. We were able to obtain a 0.181m horizontal deviation and 0.203m vertical deviation, after analyzing the positional accuracy of points based on ortho mosaic images using the collected RGB images. Since this meets the required level of spatial accuracy that allows production of maps at a scale of 1:1,000~5,000 and also remote sensing over small areas, we successfully validated that the payload was highly utilizable.

• Journal of the Korean GEO-environmental Society
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• v.14 no.3
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• pp.51-60
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• 2013

It is proposed the new method to calculate the absolute altitude and horizontal position of worker in construction field. For this research, we used a pressure sensor, MEMS INS sensor to acquire 3D position of worker. The easiest way to show the result of this research is to use smart phone which equipped various digital sensors in this hardware. So we made two softwares: Data acquisition software in Android smart phone and Data monitoring software in PC. During this research, we encountered several kind of problems which have to be overcame. This paper shows these processes and the results of 3D positioning technologies we suggested newly.