• 한국재료학회지
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• 제21권10호
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• pp.563-567
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• 2011

We report the structural characterization of $Bi_xZn_{1-x}O$ thin films grown on c-plane sapphire substrates by plasma-assisted molecular beam epitaxy. By increasing the Bi flux during the growth process, $Bi_xZn_{1-x}O$ thin films with various Bi contents (x = 0~13.17 atomic %) were prepared. X-ray diffraction (XRD) measurements revealed the formation of Bi-oxide phase in (Bi)ZnO after increasing the Bi content. However, it was impossible to determine whether the formed Bi-oxide phase was the monoclinic structure ${\alpha}-Bi_2O_3$ or the tetragonal structure ${\beta}-Bi_2O_3$ by means of XRD ${\theta}-2{\theta}$ measurements, as the observed diffraction peaks of the $2{\theta}$ value at ~28 were very close to reflection of the (012) plane for the monoclinic structure ${\alpha}-Bi_2O_3$ at 28.064 and the reflection of the (201) plane for the tetragonal structure ${\beta}-Bi_2O_3$ at 27.946. By means of transmission electron microscopy (TEM) using a diffraction pattern analysis and a high-resolution lattice image, it was finally determined as the monoclinic structure ${\alpha}-Bi_2O_3$ phase. To investigate the distribution of the Bi and Bi-oxide phases in BiZnO films, elemental mapping using energy dispersive spectroscopy equipped with TEM was performed. Considering both the XRD and the elemental mapping results, it was concluded that hexagonal-structure wurtzite $Bi_xZn_{1-x}O$ thin films were grown at a low Bi content (x = ~2.37 atomic %) without the formation of ${\alpha}-Bi_2O_3$. However, the increased Bi content (x = 4.63~13.17 atomic %) resulted in the formation of the ${\alpha}-Bi_2O_3$ phase in the wurtzite (Bi)ZnO matrix.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2009년도 제38회 동계학술대회 초록집
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• pp.362-362
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• 2010

Today, vast attention has been paid to periodic arrays of nanostructures due to their potential for applications such as memory with huge storage density. Such application requires large-scale fabrication of well ordered nano-sized structures. One of the most widely used methods for the ordered nanostructures is lithography. This top-down process, however, has the limit to reduce size. Here the promising alternative is the self-organization of ordered nano-sized structures such as large scale 2d carbon-induced reconstructions on W(110). In the present study, we report on the first well-resolved atomic resolution STM studies of the well-known R($15{\times}3$) and R($15{\times}12$) carbon induced reconstruction of the W(110). From the atomic image of R($15{\times}3$) for different values of tunneling gap resistance, we can tell there are no missing atoms in unit cells of R($15{\times}3$) and some atomic displacements are substantial from the clean W(110), even though not all the imaged position of atoms correspond to tungsten, but may include those of carbon. We are considering two cases; First case is related to lattice deformation, or top layer of W(110) is deformed in the process of relief of strain caused by random inserting of carbon atoms possibly in the interstitial position. In the second case, R($15{\times}3$) unit cell results from a coincidence lattice between clean W(110) substrate and tungsten carbide overlayer which has rectangular atomic arrangement and giving R($15{\times}3$) coincidence lattice. beta-W2C showing rectangular unit cell should be a candidate. Further, we report on new reconstructions. Unlike the well-known R($15{\times}12$) consisting of two parts, two inner structures between two "Backbone" structures. The new reconstruction, which we found for the first time, contains more parts between the "Backbone"s. Sometimes we can observe the reconstruction consists of only inner parts without "Backbone" parts. Thus, the observed reconstruction can be built by constructing of two types of "Lego"-like block. Moreover, the rectangle shape of "Backbone" transform to parallelogram-like shape over time, the so-called wavy-R($15{\times}12$). Adsorption of hydrogen can be the reason for this transformation.

• Investigative Magnetic Resonance Imaging
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• 제18권2호
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• pp.87-106
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• 2014

Purpose : To describe how a robust implementation of a radial 3D gradient-echo sequence with stack-of-stars sampling can be achieved, to review the imaging properties of radial acquisitions, and to share the experience from more than 5000 clinical patient scans. Materials and Methods: A radial stack-of-stars sequence was implemented and installed on 9 clinical MR systems operating at 1.5 and 3 Tesla. Protocols were designed for various applications in which motion artifacts frequently pose a problem with conventional Cartesian techniques. Radial scans were added to routine examinations without selection of specific patient cohorts. Results: Radial acquisitions show significantly lower sensitivity to motion and allow examinations during free breathing. Elimination of breath-holding reduces failure rates for non-compliant patients and enables imaging at higher resolution. Residual artifacts appear as streaks, which are easy to identify and rarely obscure diagnostic information. The improved robustness comes at the expense of longer scan durations, the requirement for fat suppression, and the nonexistence of a time-to-center value. Care needs to be taken during the configuration of receive coils. Conclusion: Routine clinical use of radial stack-of-stars sequences is feasible with current MR systems and may serve as substitute for conventional fat-suppressed T1-weighted protocols in applications where motion is likely to degrade the image quality.

• 한국산림과학회지
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• 제102권2호
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• pp.216-222
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• 2013

온실가스 저감목표로 각국에서는 국내외를 대상으로 여러 가지 활동을 진행하고 있다. 특히 교토의정서가 발효된 후 의무당사국에 배출량 제한을 주어 국가 및 기업에서의 참여의지가 강화되었다. 본 연구는 청정개발체제하 고성군 재조림 CDM 사업을 중심으로, 토지적격성 입증과정에서 발생된 장애요인과 해결방안에 대하여 분석하였다. 토지적격성의 장애요인은 주로 1989년 12월31일 이전, 현재 및 미래 3가지 시점으로 구분할 수 있다. 1989년 12월 31일이전의 장애요인은 Landsat 위성영상의 해상도로 사업대상지의 토지피복을 설명하기에는 어렵다는 점이었고, 이는 초지조성허가서를 통하여 입증하였다. 현재 토지적격성의 장애요인은 수목이 존재하는 지역에 대하여 산림여부에 대한 판단이 어렵다는 것이었다. 이는 3차원도화기와 항공사진을 이용하여 Strata로 구분하여 사업대상지의 경계를 확인하였다. 그리고 대상지가 현재 수목이 존재함으로 사업이 시행되지 않았을 때 향후 산림으로 발전가능 여부에 대한 토지적격성의 장애요인이 존재하였다. 이는 수간석해를 이용하여 재조림 사업이 시행되는 기간 동안 사업대상지 경계내의 수목의 생장을 예측하여 분석하였다.

• 대한원격탐사학회지
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• 제40권4호
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• pp.319-341
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• 2024

The utilization of multispectral imaging systems (MIS) in remote sensing has become crucial for large-scale agricultural operations, particularly for diagnosing plant health, monitoring crop growth, and estimating plant phenotypic traits through vegetation indices (VIs). However, environmental factors can significantly affect the accuracy of multispectral reflectance data, leading to potential errors in VIs and crop status assessments. This paper reviewed the complex interactions between environmental conditions and multispectral sensors emphasizing the importance of accounting for these factors to enhance the reliability of reflectance data in agricultural applications.An overview of the fundamentals of multispectral sensors and the operational principles behind vegetation index (VI) computation was reviewed. The review highlights the impact of environmental conditions, particularly solar zenith angle (SZA), on reflectance data quality. Higher SZA values increase cloud optical thickness and droplet concentration by 40-70%, affecting reflectance in the red (-0.01 to 0.02) and near-infrared (NIR) bands (-0.03 to 0.06), crucial for VI accuracy. An SZA of 45° is optimal for data collection, while atmospheric conditions, such as water vapor and aerosols, greatly influence reflectance data, affecting forest biomass estimates and agricultural assessments. During the COVID-19 lockdown,reduced atmospheric interference improved the accuracy of satellite image reflectance consistency. The NIR/Red edge ratio and water index emerged as the most stable indices, providing consistent measurements across different lighting conditions. Additionally, a simulated environment demonstrated that MIS surface reflectance can vary 10-20% with changes in aerosol optical thickness, 15-30% with water vapor levels, and up to 25% in NIR reflectance due to high wind speeds. Seasonal factors like temperature and humidity can cause up to a 15% change, highlighting the complexity of environmental impacts on remote sensing data. This review indicated the importance of precisely managing environmental factors to maintain the integrity of VIs calculations. Explaining the relationship between environmental variables and multispectral sensors offers valuable insights for optimizing the accuracy and reliability of remote sensing data in various agricultural applications.

• 한국전자파학회논문지
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• 제23권10호
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• pp.1204-1211
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• 2012

본 연구에서는 위성 SAR(Synthetic Aperture Radar) 시스템 검 보정을 위한 기반기술 습득을 위해 수행된 X-밴드 대역 능동전파반사기를 이용한 실제 위성 SAR 방사 패턴 측정 및 분석에 관한 연구 결과를 선보인다. 실험에 사용된 자체 설계/제작된 능동전파반사기는 최대 63.1 dBsm의 레이더 단면적(RCS: Radar Cross Section)을 가지며, 외부 수신 장치를 이용한 수신 기능을 포함한다. 위성 SAR 시스템의 방사 패턴 측정 정확도를 높이기 위해 동일한 운용 모드의 위성 SAR(COSMO-SkyMed 2/3호, hh-편파, strip-map himage mode, 해상도 3 m) 시스템을 이용하였으며, 이때, SAR 영상 데이터 내 능동전파반사기의 RCS 크기 분석을 병행하여 측정 결과의 신뢰도를 교차분석하였다. 수신된 신호로부터 추출된 위성 SAR 시스템의 방위각 방향 방사 패턴 특성은 각각 HPBW(half-power beamwidth) $0.352^{\circ}$, FNBW(first-null beamwidth) $0.691^{\circ}$, PSLR(peak to side lobe ratio) 11.17 dB이다.

• Imaging Science in Dentistry
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• 제36권1호
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• pp.49-54
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• 2006

Purpose : To evaluate accuracy and reliability of program to measure facial soft tissue thickness using 3D computed tomographic images by comparing with direct measurement. Materials and Methods : One cadaver was scanned with a Helical CT with 3 mm slice thickness and 3 mm/sec table speed. The acquired data was reconstructed with 1.5 mm reconstruction interval and the images were transferred to a personal computer. The facial soft tissue thickness were measured using a program developed newly in 3D image. For direct measurement, the cadaver was cut with a bone cutter and then a ruler was placed above the cut side. The procedure was followed by taking pictures of the facial soft tissues with a high-resolution digital camera. Then the measurements were done in the photographic images and repeated for ten times. A repeated measure analysis of variance was adopted to compare and analyze the measurements resulting from the two different methods. Comparison according to the areas was analyzed by Mann-Whitney test. Results : There were no statistically significant differences between the direct measurements and those using the 3D images (p>0.05). There were statistical differences in the measurements on 17 points but all the points except 2 points showed a mean difference of 0.5 mm or less. Conclusion : The developed software program to measure the facial soft tissue thickness using 3D images was so accurate that it allows to measure facial soft tissues thickness more easily in forensic science and anthropology.

• 보건행정학회지
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• 제12권4호
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• pp.91-113
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• 2002

본 논문은 의약분업의 실시와 이에 따른 의료인의 대규모 파업을 연구 대상으로 하였다. 협상 (bargaining)에 관한 게임이론 (game-theory) 모형을 활용하여 의료인들과 정부의 협상과 정과 결과를 분석하고자 하였다. 특히 제도 변화의 과정에 있어 사회적 행위자들 사이의 분배적 갈등의 역할에 초점을 맞추고 있다 정부에 의한 의약분업의 시행은 의료인들로 하여금 심각한 분배적 결과를 초래할 수 있다는 것이며, 이는 다양한 배경의 의료인들로 하여금 정치적 연합의 가능성을 강화시켰다. 의료인들에 의한 분배적 결과의 인식은 파업과 같은 집합행동의 조직화로 나타나고 정부와의 협상 관계에 있어서도 줄곧 협상력의 우위를 견지하는 모습을 보여주었다. 결과적으로 의료인들은 그들이 원하는 결과를 확보하는데 성공한듯이 보인다. 협상은 제도의 형성과 변화에 있어 행위자들 간 상호작용의 중요한 형태라 할 수 있다. 이 경우 한 행위자의 목적은 그들에 유리하게 어떻게 제도적 규칙을 형성해 나가느냐 이다. 행위자들간 이해관계에 따른 갈등의 분석에 있어 주요한 변수는 당사자들 간 협상력의 차이라 할 수 있다. 힘의 비대칭 (asymmetry of power)현상은 제도 형성의 중요한 요소가 될 수 있다. 본 논문은 비협조 게임 모형 (the battle of sexes game)을 이용하여 협상력의 차이에 따른 균형해(equilibrium outcome)의 차이를 분석하고자 하였다. 특히 정부와 의료인의 협상에 있어 선호의 강도(intensity of preference)와 협상의 결렬시 지불해야 하는 비용 (breakdown cost) 의 차이는 협상력의 차이로 이어지고, 결과적으로 제도 변화의 결과를 가늠케 하는 척도로 작용하고 있음을 알 수 있다.

• 한국농촌건축학회논문집
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• 제24권1호
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• pp.9-17
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• 2022

Rural spaces are increasingly valuable as areas for introducing renewable energy infrastructure to achieve carbon neutrality. Rural areas are the living grounds of rural residents, and the balance of conservation and development for rural areas is important for the introduction of reasonable facilities. In order to maintain a balance between development and preservation and to introduce reasonable renewable energy facilities, it is necessary to develop a current status survey and an effective survey method to utilize a space capable of introducing renewable energy facilities such as idle land and vacant houses. Therefore, this study was conducted to verify the readability using an unmanned aerial vehicle, and the main results are as follows. The detection of photovoltaic power generation facilities using unmanned aerial vehicles was effective in analyzing the location and area of photovoltaic panels located on the roofs of buildings, and it was possible to calculate the expected power generation by region through the area calculation of photovoltaic panels. The vacant house detection can be used to select an investigation target for an vacant house condition survey as it can identify damage to buildings that are expected to be empty houses, management status, and electricity supply facilities through aerial photos. It is judged that the unmanned aerial vehicle detection capability can be utilized as a method to improve the efficiency of investigation and supplement the data related to solar power generation facilities and vacant houses provided by public institutions. Although this study detected the status of solar power generation facilities and vacant houses through high-resolution aerial image analysis, as a follow-up study, automatic measurement methods using the temperature difference of solar power generation facilities and general characteristics of vacant houses that can be read from the air were investigated. If the deriving research is carried out, it is judged that it will be possible to contribute to the improvement of the accuracy of the detection result using the unmanned aerial vehicle and the expansion of the application range.

• 한국지리정보학회지
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• 제27권1호
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• pp.115-127
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• 2024

본 연구는 Transformer 모듈을 기반으로 다양한 구조의 모델을 구성하고, 토지피복 분류를 수행하여 Transformer 모듈의 활용방안 검토를 목적으로 하였다. 토지피복 분류를 위한 딥러닝 모델은 CNN 구조를 가진 Unet 모델을 베이스 모델로 선정하였으며, 모델의 인코더 및 디코더 부분을 Transformer 모듈과 조합하여 총 4가지 딥러닝 모델을 구축하였다. 딥러닝 모델의 학습과정에서 일반화 성능 평가를 위해 같은 학습조건으로 10회 반복하여 학습을 진행하였다. 딥러닝 모델의 분류 정확도 평가결과, 모델의 인코더 및 디코더 구조 모두 Transformer 모듈을 활용한 D모델이 전체 정확도 평균 약 89.4%, Kappa 평균 약 73.2%로 가장 높은 정확도를 보였다. 학습 소요시간 측면에서는 CNN 기반의 모델이 가장 효율적이었으나 Transformer 기반의 모델을 활용할 경우, 분류 정확도가 Kappa 기준 평균 0.5% 개선되었다. 차후, CNN 모델과 Transformer의 결합과정에서 하이퍼파라미터 조절과 이미지 패치사이즈 조절 등 다양한 변수들을 고려하여 모델을 고도화 할 필요가 있다고 판단된다. 토지피복 분류과정에서 모든 모델이 공통적으로 발생한 문제점은 소규모 객체들의 탐지가 어려운 점이었다. 이러한 오분류 현상의 개선을 위해서는 고해상도 입력자료의 활용방안 검토와 함께 지형 정보 및 질감 정보를 포함한 다차원적 데이터 통합이 필요할 것으로 판단된다.