• 대한핵의학회지
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• 제39권3호
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• pp.191-199
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• 2005

목적: 본 연구의 목적은 신장의 정확한 방사능 섭취량을 얻기 위해서 기하학적 평균 감쇠보정을 이용한 conjugate view 방법(CVM)을 평가하고 Gate 방법과 비교하는 것이다. 대상 및 방법 : 본 연구는 신장의 방사능 섭취량을 시뮬레이션하기 위해서 몬테칼로 코드, SIMIND와 Zubal 팬텀을 사용하였다. 또한 이중 감마카메라를 이용하여 직경 5cm인 팬텀들을 직경 20cm인 실제 팬텀에 삽입하여 실험을 하였다. CVM 방법을 평가하기 위해서 산란과 감쇠가 없는 이상적 데이터와 비교되었다. 또한, CVM 방법을 Gate 방법과 비교하였고, 산란보정의 적용 또는 비적용으로 나누어 CVM 방법을 실행하였다. Gate 방법은 임상에서 사용하는 것처럼 산란보정을 적용하지 않았으며, $0.12cm^{-1}$와 $0.15cm^{-1}$ 감쇠계수들을 적용하였다. 관심영역 내에 있는 평균계수, 신장영상 위에서 얻어진 프로파일, 선형회귀분석을 이용하여 데이터를 분석하였고, 이상적 데이터와의 상관계수를 계산하였다. 결과: 컴퓨터 시뮬레이션의 경우, 이상적 데이터, CVM 방법, Gate 방법으로부터 얻어진 평균계수들은 각각 (오른쪽: $998{\pm}209$, 왼쪽: $896{\pm}249$), (오른쪽: $911{\pm}207$, 왼쪽: $815{\pm}265$), (오른쪽: $1065{\pm}267$, 왼쪽 $1546{\pm}267$)이었다. CVM 방법은 이상적 데이터와 좋은 상관관계를 보여주었고, 이상적 데이터와 대한 CVM 방법, Gate방법의 상관계수는 각각 (오른쪽: 0.91, 왼쪽: 0.93)와 (오른쪽: 0.85, 왼쪽 0.90)이었다. 결론: 기하학적 평균 감쇠보정을 이용한 CVM 방법은 Gate 방법보다 정량적으로 더 정확한 값을 제공하였다. 결론적으로, 신장 깊이에 영향을 받지 않는 CVM 방법으로 더욱 정확하게 신장의 방사능 섭취량을 측정할 수 있을 것으로 생각된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.683-686
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• 2005

This study addresses a photogrammetric approach to generate Mars topographic products from mapping data of Mars Global Surveyor (MGS). High-resolution stereo images and laser altimetry data collected from the MGS mission are combined and processed to produce Digital Elevation Models (DEM) and orthoimages. First, altimeter data is registered to high resolution images and considerable registration offset (around 325 m) is discovered on high resolution stereo images. Altimetry data, exterior orientation elements of the camera and conjugate points are used for bundle adjustment to solve this mis-registration and detennine the ground coordinates. The mis-registration of altimetry data are effectively eliminated after the bundle adjustment. Using the adjusted exterior orientation the ground coordinates of conjugate points are detennined. A sufficient number of corresponding points collected through image matching and their precise 3-D ground coordinates are used to generate DEM and orthoimages. A posteriori standard deviations of ground points after bundle adjustment indicate the accuracy of OEM generated in this study. This paper addresses the photogrammetric procedure: the registration of altimetry data to stereo pair images, the bundle adjustment and the evaluation, and the generation of OEM and orthoimages.

• 한국측량학회지
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• 제32권6호
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• pp.625-635
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• 2014

Multiple strips are required for large area mapping using ALS (Airborne Laser Scanner) system. LiDAR (Light Detection And Ranging) data collected from the ALS system has discrepancies between strips due to systematic errors of on-board laser scanner and GPS/INS, inaccurate processing of the system calibration as well as boresight misalignments. Such discrepancies deteriorate the overall geometric quality of the end products such as DEM (Digital Elevation Model), building models, and digital maps. Therefore, strip adjustment for minimizing discrepancies between overlapping strips is one of the most essential tasks to create seamless point cloud data. This study implemented area-based matching (ABM) to determine conjugate features for computing 3D transformation parameters. ABM is a well-known method and easily implemented for this purpose. It is obvious that the exact same LiDAR points do not exist in the overlapping strips. Therefore, the term "conjugate point" means that the location of occurring maximum similarity within the overlapping strips. Coordinates of the conjugate locations were determined with sub-pixel accuracy. The major drawbacks of the ABM are sensitive to scale change and rotation. However, there is almost no scale change and the rotation angles are quite small between adjacent strips to apply AMB. Experimental results from this study using both simulated and real datasets demonstrate validity of the proposed scheme.

• Clinical and Experimental Pediatrics
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• 제57권2호
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• pp.55-66
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• 2014

The 7-valent pneumococcal protein conjugate vaccine (PCV7) has been shown to be highly efficacious against invasive pneumococcal diseases and effective against pneumonia and in reducing otitis media. The introduction of PCV7 has resulted in major changes in the epidemiology of pneumococcal diseases. However, pneumococcal vaccines induce serotype-specific immunity, and a relative increase in non-vaccine serotypes has been reported following the widespread use of PCV7, leading to a need for extended serotype coverage for protection. PCV10 and PCV13 have been licensed on the basis of noninferiority of immunogenicity compared to a licensed conjugate vaccine. In this article, we aimed to review important data regarding the efficacy and effectiveness of the extended-coverage PCVs published or reported thus far and to discuss future implications for pneumococcal vaccines in Korea. After the introduction of PCV10 and PCV13, within a short period of time, evidence of protection conferred by these vaccines against invasive and mucosal infections caused by most of the serotypes included in the vaccines is accumulating. The choice of vaccine should be based on the changes in the dynamics of pneumococcal serotype distribution and diseases in the region where the vaccines are to be used. Continuous surveillance is essential for the appropriate use of pneumococcal vaccines and evaluation of the impact of PCVs on pneumococcal diseases.

• International Journal of Aeronautical and Space Sciences
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• 제18권2호
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• pp.279-289
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• 2017

In this study, a series of conjugate heat transfer (CHT) analyses are conducted for a stage of a fully cooled high-pressure turbine (HPT) at elevated levels of free stream turbulence (Tu = 5% and 25.7%). The goal of the analyses is to investigate the influence of high turbulence intensity on the fluid-thermal characteristics of a nozzle guide vane (NGV). The turbine inlet temperature is defined by considering a typical radial temperature distribution factor (RTDF). The Unsteady Reynolds Average Navier-Stokes (URANS) CHT simulations are carried out using CFX 15.0, a commercial CFD package. The presented CFD modeling approach for high turbulence intensity is verified with the experimental data from two types of NASA C3X NGVs with films. The computation grid is generated for both the fluid and solid domains. The fluid domain grid is created using a tetrahedral grid system with prism layers because of its complex geometry, and the solid domain grid is composed of only tetrahedral elements. The analytical results are compared to understand the effect of turbulence on flow characteristics and metal temperature distributions. The results obtained in this study provide useful insights on the effects of high free stream turbulence and unsteadiness. The results also lead to the proposal of meaningful turbine design guidelines.

• 약학회지
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• 제48권6호
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• pp.345-351
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• 2004

ln the present work to determine effect of a Streptococcus pneumoniae conjugate vaccine, S.pneumoniae capsule attached to the surface protein (JY-Pol) was ex amined. This JY-Pol contained approximately 92% and 6% carbohydrate and protein, respectively. Gel electrophoresis revealed the presence of the surface protein in the JY-Pol. By the double immunodiffusion and isotyping ELISA analyses, administration of JY-Pol that was adsorbed to alum adjuvant (JY-Pol/Alum) into mice induced IgM, IgG, and IgA specific for the S.pneumoniae capsule. The ATCC capsular polysaccharide adsorbed to alum (ATCC-Pol/Alum) provoked only IgM in mice. In survival tests, mice that were immunized with the JY-Pol/Alum before intravenous challenge with live S.pneumoniae survived entire period of 46 day-observation, whereas all mice that received ATCC-Pol/Alum or only diluent instead of the vaccination died within 5 and 12 days, respectively. Results from footpad-edema test showed that JY-Pol/Alum formula provoked the cellular immunity as determined by swelling of the mouse footpad. These data indicate that the naturally conjugated JY- Pol enhances resistance of mice against disseminated pneumococcal disease due to S.pneumoniae by both humoral and cellular immune responses.

• 한국인공지능학회지
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• 제12권2호
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• pp.17-23
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• 2024

Various methods have been developed to predict the flight path of an air-launched weapon to intercept a fast-moving target in the air. However, it is also getting more challenging to predict the optimal firing zone and provide it to a pilot in real-time during engagements for advanced weapons having new complicated guidance and thrust control. In this study, a method is proposed to develop an optimized weapon engagement zone by the SCG (Scaled Conjugate Gradient) algorithm to achieve both accurate and fast estimates and provide an optimized launch display to a pilot during combat engagement. SCG algorithm is fully automated, includes no critical user-dependent parameters, and avoids an exhaustive search used repeatedly to determine the appropriate stage and size of machine learning. Compared with real data, this study showed that the development of a machine learning-based weapon aiming algorithm can provide proper output for optimum weapon launch zones that can be used for operational fighters. This study also established a process to develop one of the critical aircraft-weapon integration software, which can be commonly used for aircraft integration of air-launched weapons.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.67-74
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• 2015

The heat conduction equation, a type of a Poisson equation which can be applied in various areas of engineering is calculating its value with the iteration method in general. The equation which had difference discretization of the heat conduction equation is the simultaneous equation, and each line has the characteristic of expressing in sparse matrix of the equivalent number of none-zero elements with neighboring grids. In this paper, we propose a data structure for sparse matrix that can calculate the value faster with less memory use calculate the heat conduction equation. To verify whether the proposed data structure efficiently calculates the value compared to the other sparse matrix representations, we apply the representative iteration method, CG (Conjugate Gradient), and presents experiment results of time consumed to get values, calculation time of each step and relevant time consumption ratio, and memory usage amount. The results of this experiment could be used to estimate main elements of calculating the value of the general heat conduction equation, such as time consumed, the memory usage amount.

• 지구물리와물리탐사
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• 제10권2호
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• pp.147-153
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• 2007

CG (conjugate gradient) 법은 선형 연립방정식을 반복적으로 푸는 가장 효율적인 해법 중 하나이고, 또한 비선형 최소자승문제에도 적용할 수 있다. 자기지전류(MT) 역산 문제를 풀 때에는 최소자승문제의 목적함수 자체의 최소화에 직접 CG 법을 적용하거나, Gauss-Newton 법에 기초한 반복역산의 각 반복단계에서 모형의 변화량 계산에 CG 법을 이용할 수 있다. CG 법을 적용할 경우, 임의의 벡터에 대한 감도행렬의 영향 및 그 전치행렬의 전치행렬의 영향을 감도행렬을 직접 구하지 않고 계산할 수 있다는 장점이 있기 때문에 감도행렬의 계산 규모가 방대한 3차원 역산 문제에서 계산시간을 월등히 줄일 수 있다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.500-503
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• 2006

To adjust the discrepancy between Light Detection and Ranging (LIDAR) strips, previous researches generally have been conducted using conjugate features, which are called feature-based approaches. However, irrespective of the type of features used, the adjustment process relies upon the existence of suitable conjugate features within the overlapping area and the ability of employed methods to detect and extract the features. These limitations make the process complex and sometimes limit the applicability of developed methodologies because of a lack of suitable features in overlapping areas. To address these drawbacks, this paper presents a methodology using area-based algorithms. This approach is based on the scheme that discrepancies make complex the local height variations of LIDAR data whithin overlapping area. This scheme can be helpful to determine an appropriate transformation for adjustment in the way that minimizes the geographical complexity. During the process, the contour tree (CT) was used to represent the geological characteristics of LIDAR points in overlapping area and the Iterative Closest Points (ICP) algorithm was applied to automatically determine parameters of transformation. After transformation, discrepancies were measured again and the results were evaluated statistically. This research provides a robust methodology without restrictions involved in methods that employ conjugate features. Our method also makes the overall adjustment process generally applicable and automated.