• 지적과 국토정보
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• 제46권1호
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• pp.23-35
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• 2016

최근 IT기술의 발달과 함께 건설 분야와 IT기술의 융합에 맞추어 비정형화와 대형화로 인해 건물의 외형이 다양해지고 있다. 이에 건물을 기존보다 정확하게 표현하면서 시각적으로도 우수한 3차원 공간정보를 구축하기 위해 본 연구에서는 대상 건물을 지상 LiDAR를 이용해 고밀도 점군자료를 취득하였고, 이를 바탕으로 BIM(Building Information Modeling) 기반의 건물 모델을 제작하였다. 이를 각 층별 레이어로 개별 추출하여 높이에 따른 건물 외곽정보들과의 차이점을 확인하였으며, IFC 표준 포맷을 활용한 공개형 BIM을 통해 구조물의 외곽 현황 파악이 가능함을 확인하였으며, 이를 기반으로 하는 새로운 입체지적 및 공간정보 데이터 구축 방안을 제시하였다.

• 한국콘텐츠학회논문지
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• 제20권7호
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• pp.316-330
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• 2020

이 연구는 텍스트 마이닝을 사용하여 하드웨어 제품에 대한 리뷰, 서비스 상품에 대한 리뷰, ICT분야의 하드웨어와 클라우드 서비스가 융합된 형태의 상품을 대상으로 소비자 리뷰를 분석한다. 분석을 위해 각 리뷰의 키워드를 도출하고 토픽 도출에 사용된 단어의 차별성을 찾는다. 마지막으로 전체 리뷰를 대상으로 군집분석을 실시하고 각각의 상품군의 리뷰가 어떤 군집에 속하는지를 검토한다. 이 연구를 통해서 각 상품의 유형별로 특화되어 사용된 핵심어를 도출하였고, 토픽모델링을 사용하여 제품과 서비스의 특성을 표현하는 주제를 도출하였다. 서비스 상품 리뷰에서는 공급자의 우수성을 의미하는 professional, technician과 같은 핵심어를 도출하였고, 융합제품서비스상품으로서 아마존 에코 리뷰에서는 favorite, fine, fun, nice, smart, unlimited, useful 등의 긍정적 의미의 형용사를 도출하였다. 군집분석을 사용하여 전체 리뷰를 분석하였고, 3개의 상품 유형별 리뷰가 배타적으로 서로 다른 각각의 군집에 속하는 결과를 발견하였다. 이 연구는 소비자의 니즈(needs)를 상품의 유형별로 온라인 리뷰를 이용하여 차이점을 분석하였고 실무적으로 상품 유형에 기반한 상품기획과 마케팅 프로모션 차별화의 필요성을 제시하였다.

• 한국환경과학회지
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• 제26권5호
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• pp.621-638
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• 2017

Meteorological characteristics related to variations in ozone ($O_3$) concentrations in the Korean peninsula before, during, and after Typhoon Talas (1112) were analyzed using both observation data and numerical modeling. This case study takes into account a high $O_3$ episode (e.g., a daily maximum of ${\geq}90ppb$) without rainfall. Before the typhoon period, high $O_3$ concentrations in the study areas (e.g., Daejeon, Daegu, and Busan) resulted from the combined effects of stable atmospheric conditions with high temperature under a migratory anticyclone (including subsiding air), and wind convergence due to a change in direction caused by the typhoon. The $O_3$ concentrations during the typhoon period decreased around the study area due to very weak photochemical activity under increased cloud cover and active vertical dispersion under a low pressure system. However, the maximum $O_3$ concentrations during this period were somewhat high (similar to those in the normal period extraneous to the typhoon), possibly because of the relatively slow photochemical loss of $O_3$ by a $H_2O+O(^1D)$ reaction resulting from the low air temperature and low relative humidity. The lowest $O_3$ concentrations during the typhoon period were relatively high compared to the period before and after the typhoon, mainly due to the transport effect resulting from the strong nocturnal winds caused by the typhoon. In addition, the $O_3$ increase observed at night in Daegu and Busan was primarily caused by local wind conditions (e.g., mountain winds) and atmospheric stagnation in the wind convergence zone around inland mountains and valleys.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제14권5호
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• pp.527-531
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• 2008

스캐너를 이용해 스캔한 데이타는 오차를 포함하고 있으며, 이러한 오차는 통계적인 성질을 갖는 경우가 많다. 이러한 이유에서 통계적인 방법은 오차 처리를 위해 매우 효과적인 방법이며, 최근 많은 연구가 이루어지고 있다. 이러한 통계적인 방법 중 대표적인 방법인 점 추정 방법은 데이타의 여러 성질을 나타내지 못하고 단지 확률이 최대가 되는 부분의 성질만을 나타내는 한계가 있으며, 이러한 한계로 인하여 오버피팅 문제가 발생하게 된다. 이러한 한계를 극복하고 오버피팅 문제를 해결하기 위해서 본 논문에서는 변분 베이지안 방법을 이용한다. 점집합의 오차를 제거하기 위해 지역적 근사곡면을 사용하고, 높이함수를 이용해서 근사곡면을 나타낸다. 변분 베이지안 방법을 사용하여 오차가 제거된 근사곡면을 구하고, 주어진 점들을 근사곡면으로 매핑하여 오차를 제거한다. 제시된 방법은 계량적 실험과 실제 스캔된 자료를 이용한 실험을 통하여 검증된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1005-1018
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• 2017

This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver's driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle' fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle's fault and noxious gas emitted to the outside.

• 천문학회보
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• 제37권2호
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• pp.218.2-218.2
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• 2012

In the remote sensing researches, the reflected bright source such as snow, cloud have effects on the image quality of wanted signal. Even though those signal from bright source are adjusted in corresponding pixel level with atmospheric correction algorithm or radiometric correction, those can be problem to the nearby signal as one of the stray light source. Especially, in the step and stare observational method which makes one mosaic image with several snap shots, one of target area can affect next to the other snap shot each other. Presented in this paper focused on the stray light analysis from unwanted reflected bright source for geostationary ocean color sensor. The stray light effect for total 16 slot images each other were performed according to 8 band filters. For the realistic simulation, we constructed system modeling with integrated ray tracing technique which realizes the same space time in the remote sensing observation among the Sun, the Earth, and the satellite. Computed stray light effect in the results of paper demonstrates the distinguishable radiance value at the specific time and space.

• 대기
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• 제31권4호
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• pp.421-431
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• 2021

The Yeongdong region is frequently vulnerable to heavy snowfall in winter in terms of societal and economical damages. By virtue of a lot of previous efforts, snowfall forecast has been significantly improved, but the performance of light snowfall forecast is still poor since it is very conducive to synoptic and mesoscale interactions, largely attributable to Taeback mountains and East Sea effects. An intensive observation has been made in cooperation with Gangwon Regional Meteorological Office and National Institute of Meteorological Studies in winter seasons since 2019. Two distinctive Cold Air Damming (CAD) events (14 February 2019 and 6 February 2020) were observed for two years when the snowfall forecast was wrong specifically in its location and timing. For two CAD events, lower-level temperature below 2 km ranged to lowest limit in comparisons to those of the previous 6-years (2014~2019) rawinsonde soundings, along with the stronger inversion strength (> 2.0℃) and thicker inversion depth (> 700 m). Further, the northwesterly was predominant within the CAD layer, whereas the weak easterly wind was exhibited above the CAD layer. For the CAD events, strong cold air accumulation along the east side of Taeback Mountains appeared to prevent snow cloud and convergence zone from penetrating into the Yeongdong region. We need to investigate the influence of CAD on snowfall in the Yeongdong region using continuous intensive observation and modeling studies altogether. In addition, the effect of synoptic and mesoscale interactions on snowfall, such as nighttime drainage wind and land breeze, should be also examined.

• 한국측량학회지
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• 제38권6호
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• pp.645-653
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• 2020

최근 무인비행장치의 활용방안에 대한 연구들이 활발히 진행되고 있다. 이를 지원하기 위해서 국토지리정보원은 『무인비행장치 이용 공공측량 작업지침』을 제정하였다. 하지만 작업지침에는 각 활용 분야에 필요한 최적의 촬영 조건은 제시되어 있지는 않다. 본 연구에서는 측량분야에서 많이 활용되는 3D 공간정보, 정사영상 제작에 적합한 촬영 조건을 알아보고자 하였다. 이를 위해 특별승인을 받지 않아도 비행할 수 있는 고도 150m 이내에서 다양한 고도, 중복도, 촬영각도에 따라 45번의 실험을 진행하였다. 3D 모델링의 촬영조건별 품질을 파악하기 위해 총 9곳의 검증영역의 점밀도를 분석하였으며, 정사영상과 1/1,000 수치지도를 비교하였다. 결과물의 품질과 작업시간을 고려할 때, 정밀 3D구축을 위해서는 촬영고도 50m 중복도 70~80% 촬영각도 80~90°의 촬영조건이 적합하고, 정사영상 제작에는 촬영고도 100m 촬영각도 80~90°의 촬영조건이 적합함을 알 수 있었다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.340-346
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• 2022

Construction industry is considered as one of the oldest industries in the world since human came into being and the need of their own space is realized. All this led to make the world a space of many beautiful constructive ventures. As per the requirements of today's world, every industry is recognizing the need for use and adoption of modern as well as innovative technologies due to their benefits and timely production. Now construction industry has also started adopting the use of modern and innovative technologies during their projects but still the rate of adoption is so slow. From design to completion, construction projects take a lot to manage for which technology based solutions have continuously been proposed. These include Computer Aided Design (CAD), building information modeling (BIM) and cloud computing have been proved to be much successful until now. The construction projects are high budgeted, and direly require timely and successful completion with quality, resource and other constraints. So, the researchers observe the need of more clear and technology based communication between the construction projects and its constructors and other stakeholders is required before and during the construction to take timely precautions for expected issues. This study has analyzed the use of Augmented Reality (AR) technology adopting GammaAR, and ARki applications in construction industry. It has been found that both applications are light-weighted, upgradable, provide offline availability and collaborative environment as well as fulfil most of the requirements of the construction industry except the cost. These applications also support different screen size for better visualization and deep understanding. Both applications are analyzed, based on construction's application requirements, usability of AR and ratings of applications user collected from application's platform. The purpose of this research is to provide a detail insight of construction applications which are using AR to facilitate both the future developers and consumers.

• 대한임베디드공학회논문지
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• 제17권1호
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• pp.33-40
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• 2022

With the recent increase in the development of military drones, they are adopted and used as the combat system of battalion level or higher. However, it is difficult to use drones that can be used in battles below the platoon level due to the current conditions for the formation of units in the Korean military. In this paper, therefore, we developed a program drones equipped with a thermal imaging camera and LiDAR sensor for reconnaissance and exploration that can be applied in battles below the platoon level. Using these drones, we studied the possibility and feasibility of drones for small-scale combats that can find hidden enemies, search for an appropriate detour through image processing and conduct reconnaissance and search for battlefields, hiding and cover-up through image processing. In addition to the purpose of using the proposed drone to search for an enemies lying in ambush in the battlefield, it can be used as a function to check the optimal movement path when a combat unit is moving, or as a function to check the optimal place for cover-up or hiding. In particular, it is possible to check another route other than the route recommended by the program because the features of the terrain can be checked from various viewpoints through 3D modeling. We verified the possiblity of flying by designing and assembling in a form of adding LiDAR and thermal imaging camera module to a drone assembled based on racing drone parts, which are open source hardware, and developed autonomous flight and search functions which can be used even by non-professional drone operators based on open source software, and then installed them to verify their feasibility.