• Spatial Information Research
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• 제2권1호
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• pp.65-74
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• 1994

최근 지구환경에 대한 관심이 고조됨에 따라 원격탐사자료의 보다 정밀한 정량적 해석을 위한 많은 시도가 이루어지고 있다. 본 연구에서는 고분해능 항공원격탐사자료를 이용하여 각종 수질오염 분포도를 작성하고자 하였다. 그 연구대상 지역은 합천댐이었으며 항공원격탐사자료를 이용한 클로로필-a, 수중 부유물 및 탁도 분포도가 작성되었다. 현장 수질분석자료가 10여개에 불과해 상관관계에 대한 단정적인 결론을 내리기는 매우 불충분하다고 판단되나 작성된 각종 분포도들이 수질 분석결과와 비교적 비슷한 양상으로 나타나므로 일단 그 기본적인 처리기법 및 앞으로의 활용가능성은 보여주고 있다고 할 수 있다. 수질오염을 나타내는 각종 수질관련 지수와 원격탐사자료와의 관련성을 신뢰할 수 있을 정도로 규명하기 위해서는 매우 많은 자료의 축적이 필요하며 국내의 수자원의 오염상태에 따른 표준적 샘플에 대한 많은 분광특성연구가 선행되어야 할 것으로 생각된다.

• 전자공학회논문지
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• 제52권6호
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• pp.32-40
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• 2015

본 논문에서는 무인항공기에 탑재된 안테나 간의 간섭을 고려한 안테나 최적 위치 분석에 대해서 서술하였다. 분석은 전방향성 안테나들 중 운용 주파수 대역이 인접하고, 상호 간 이격거리가 가까운 곳에 위치한 안테나들을 선정하여 수행하였다. 분석을 수행한 안테나는 제어용 데이터링크, TCAS(Traffic Collision & Avoidance System), IFF(Identification Friend or Foe), GPS(Global Positioning System)와 RALT(Radar ALTimeter) 안테나들이다. 안테나 최적 위치 분석은 세 단계로 구분된다. 첫 번째 단계는 안테나 용도, 형상 및 방사패턴을 고려한 안테나 초기 위치 선정 후 안테나 장착 시 무인항공기 구조물에 의한 안테나 방사패턴과 반사손실 특성 변화를 관찰하여 최적의 특성을 갖는 지점을 선정하는 것이다. 두 번째 단계는 안테나 간의 결합특성과 송신 안테나의 불요파 세기 및 수신 안테나의 최저수신감도를 고려하여 안테나 간 간섭 정도를 분석하는 것이다. 간섭이 발생할 경우, 간섭이 미발생하는 최소이격거리를 분석하여 간섭이 발생하지 않는 최적 위치를 선정한다. 마지막 단계는 안테나 간 추가 거리 이격으로도 간섭이 제거되지 않을 경우, 안테나 간 주파수 이격 분석을 통한 주파수 간섭 대책을 확정하는 것이다. 이러한 분석 과정은 개발단계에서 안테나 간 간섭을 예측하여 간섭이 발생하지 않는 안테나 최적 위치 선정에 유용하게 사용된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.242-242
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• 2015

Monitoring the land cover changes in Nakdong River Basins using the multi-temporal remote sensing datasets is necessary for preserving properties in the river basins and monitoring the environmental changes in the river basins after the 4 major river restoration project. This research aims to monitor the land cover changes using the multi-temporal Landsat imageries and the airborne topographic LiDAR data. Firstly, the river basin boundaries are determined by using the LiDAR data, and the multiple river basin imageries are generated from the multi-temporal Landsat imageries by using the river basin boundaries. Next the classification method is employed to identify the multiple land covers in the generated river basin imageries. Finally, monitoring the land cover changes is implemented by comparing the differences of the same clusters in the multi-temporal river basin imageries.

• 반도체디스플레이기술학회지
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• 제21권1호
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• pp.17-21
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• 2022

In the case of the manufacturing industry that produces high-tech components such as semiconductors and large flat panel displays, the manufacturing space is made into a cleanroom to increase product yield and reliability, and various environmental factors have been managed to maintain the environment. Among them, airborne particle is a representative management item enough to be the standard for actual cleanroom grade, and a sequential particle monitoring system is usually used as one parts of the FMS (Fab or Facility monitoring system). However, this method has a problem in that the measurement efficiency decreases as the length of the sampling tube increases. In this study, in order to solve this problem, a multiple regression model was created. This model can correct the measurement error due to the decrease in efficiency by sampling tube length.

• Nuclear Engineering and Technology
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• 제27권2호
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• pp.234-247
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• 1995

Trace elements in airborne particulates were analyzed by instrumental neutron activation analysis (INAA) under the optimum analytical condition. Neutron irradiation for sample was done at the irradiation hole(neutron flux 1$\times$10$^{13}$ n/$\textrm{cm}^2$.s) of TRIGA MARK-III research reactor in the Korea Atomic Energy Research Institute. For the verification of the analytical method, NIST SRM-1648 and NIES CRM No.8 ore chosen and analyzed. The accuracy and precision of the analysis of 40 and 24 trace elements in the samples were compared with the certified and reported values, respectively. The analytical method was found to be reliable enough when the analytical data of NIES sample were compared with those of different counties. In the analytical result of two or both of standard reference materials, relative standard deviation wes within the 15％ except a few elements and the relative error was within the 10％. We used this method to analyze 30 trace elements in airborne particulates collected with the high volume air sampler(PM-10) at too different locations and also confirmed the possibility to use this method as a routine monitoring tool to find out environmental pollution sources.

• Nuclear Engineering and Technology
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• 제36권5호
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• pp.450-459
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• 2004

For the evaluation of emission sources by air sampling, airborne particulate matter for fine (<2.5 ${\mu}m2$ EAD : $PM_{2.5}$) and coarse partical (2.5-10 ${\mu}m2$ EAD : $PM_{2.5-10}$ fractions were collected using a Gent stacked filter unit low volume sampler and two types of polycarbonate filters. Air samples were collected twice monthly at two regions in and around Daejeon city in the Republic of Korea from January to December 2002. Monthly mass concentration of $PM_{2.5}$ and $PM_{2.5-10}$ were measured and the concentrations of 10 marker elements (Al, Sc, Ti ; Na, Cl ; As, V. Sb, Br, Se) were determined by an instrumental neutron activation analysis. Analytical quality control was corried out using certified reference materials. Enrichment factors were also calculated from the monitoring data to classify the anthropogenic and crustal origins.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.132-135
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• 2004

Building information plays a key role in diverse applications such as urban planning, telecommunication and environment monitoring. Automatic building extraction has been a prime interest in the field of GIS and photogrammetry. In this paper, we presented an automatic approach for building extraction from lidar data. The proposed approach is divided into four processes: pre-processing, filtering, segmentation and building extraction. Experimental results showed that the proposed method detected most of buildings with less commission and omission errors.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.422-425
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• 2007

Traditionally, surface energy fluxes are obtained by model simulations or empirical equations with auxiliary meteorological data. These methods may not effectively represent the surface heat fluxes in a regional scale due to scene variability. On the other hand, remote sensing has the advantage to acquire data of a large area in an instantaneous view. The remotely sensed data can be further used to retrieve surface radiation and heat fluxes over a large area. In this study, the airborne and satellite images in conjunction with meteorological data and ground observations were used to estimate the surface heat fluxes over Taiwan's Chaiyi Plain. The results indicate that surface heat fluxes can be properly determined from both airborne and satellite images. The correlation coefficient of surface heat fluxes with in situ corresponding observations is over 0.60. We also observe that the remotely sensed data can efficiently provide a long term monitoring of surface heat fluxes over Taiwan's Chaiyi Plain.

• 한국환경과학회지
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• 제33권7호
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• pp.533-546
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• 2024

The coastal urchin barren phenomenon in our country began to spread and expand from the 1980s, centering on the southern coast and Jeju Island, and by the 1990s, it appeared along the east coast and nationwide. The urchin barren phenomenon is mainly conducted through field surveys by diving, but recently, various surveying techniques have been applied. In this study, a spectral library for terrestrial and marine areas was established for the identification of urchin barrens using airborne hyperspectral imagery, and the distribution area was analyzed through the SAM (spectral angle mapper) algorithm. An analysis of the urchin barren phenomenon in the five islands of the West Sea revealed that it occurrs in most areas, with the combined severity of the urchin barren phenomenon in Sapsido and Oeyeondo being approximately 19.9%. Hyperspectral imagery is expected to be highly useful not only for detecting the urchin barren phenomenon but also for managing and monitoring marine fishery resources through the classification of seaweeds.

• 한국환경보건학회지
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• 제39권5호
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• pp.447-455
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• 2013

Objectives: This study aims to understand the concentration, diversity, and antibiotic characteristics of staphylococci present in the indoor air of child-care facilities. Methods: Air sampling was performed from October 2012 to January 2013 in 120 child-care facilities in Seoul, Korea. Methicillin-resistant bacteria were selected from the total obtained airborne bacteria and subjected to 16S rRNA analysis for methicillin-resistant staphylococcal species determination. Identified staphylococcal strains were tested for resistance to a range of antibiotics. Results: Average total airborne bacterial concentration was $508.9{\pm}246.3CFU/m^3$. Indoor concentration of total airborne bacteria had a significant positive correlation with the $CO_2$ concentration in the child-care facilities. Methicillin-resistant staphylococci were present in 13.3% of the child-care facilities studied. A total of four species (S. epidermidis, S. cohnii, S. saprophyticus, S. sp.) and 55 strains were identified from the indoor air of the child-care facilities. Staphylococcus cohnii was the most common species (54.5%), followed by S. epidermidis (38.2%). All of the isolated staphylococcal strains exhibited high resistance to oxacillin, erythromycin, mupirocin, and ceftizoxime. Especially, S. saprophyticus strains showed more multidrug resistance to oxacillin, vancomycin, clindamycin, erythromycin, lincomycin, ceftizoxime, mupirocin, and tetracycline than did other species. Conclusion: The results of this study showed that a monitoring system for multidrug-resistant bacteria is needed in facilities for children, as the community-associated infections of these bacteria are increasing.