• 한국임상약학회지
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• 제25권2호
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• pp.61-67
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• 2015

Pharmacy education and training is continuously evolving to meet the requirement from the society in the UK. Most pharmacy schools offer the Master of pharmacy degree which is a four year undergraduate programme followed by a year of pre-registration placement spanning a year supervised by a professional pharmacist who has at least 3 years' post-registration experience; however, some universities provide either a 5-year sandwich course where the pre-registration training is split up into two periods of 6 months or a 2-year OSPAP programme for those who are already qualified as a pharmacist outside of the UK. The GPhC has announced that the format of the registration assessment is set to change in 2016. The exam questions from 2016 will be more clinical, practical and based around a patient in a real-life scenario. This article addresses important aspects of UK pharmacy education such as university curriculum, training programme, and licence exam, therefore, could potentially offer a significant contribution to the debate about raising academic standards of pharmacy education in South Korea.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2002년도 추계학술발표논문집
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• pp.557-560
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• 2002

IP층 핸드오프 중에 등록 지연 (latency)과 지연으로 야기된 패킷 손실 (loss)이 존재할 수 있으며, 이 중 지연은 실시간 서비스 또는 지연에 민감한 서비스에 크게 영향을 미친다. 이러한 지연을 해결하기 위해서 IETF는 사전등록 (Pre-Registration)을 할 수 있는 Low Latency Handoff을 제안했다. 여기에서는 이전 외부에이전트 (oFA)와 새로운 외부에이전트 (nFA)가 존재하여야 되며, 만약 nFA가 없다면 사후등록(Post-Registration)을 수행하게 된다. 그러나 다양한 네트워크환경에서 외부에이전트가 존재하지 않은 경우도 있을 수 있다. 본 논문에서는 이러한 상황에 적응하도록 링크계층 정보를 이용하여 사전등록을 할 수 있도록 제안한다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2002년도 추계종합학술대회
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• pp.858-861
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• 2002

휴대용 무선 기기의 보급이 확산됨에 따라 단순히 무선으로 네트워크를 이용하는 데서 더 나아가 이동시에도 단절 없이 네트워크를 사용할 수 있도록 하는 기술의 필요성이 증대되고 있다 TCP/IP 네트워크 상에서 단말의 이동성을 제공하는 기술로 모바일 IP가 사용되고 있다. 모바일 IP는 이동 단말이 네트워크 접속점 변경시 새로운 네트워크의 에이전트를 이용하여 등록을 요청하고, 이 요청이 승인된 후 네트워크 사용을 재개할 수 있도록 한다. 따라서 사용자는 단말이 현재 네트워크 접속점과의 연결을 끊고 새로운 네트워크에 접속하고 등록을 요청하여 이를 승인 받을 때까지 네트워크를 사용할 수 없게 된다. 본 논문에서는 이러한 핸드오프 시 발생되는 문제점을 해결하는 방법 중의 하나인 사전 등록 기능 구현에 대하여 기술하였다. 사전 등록이란 이동 노드가 이동 시 네트워크 접속을 끊고 새로운 외부 에이전트에 연결하여 등록을 요청하는 기존의 핸드오프 방식을 개선한 것으로 이동 전에 현재의 에이전트를 통하여 이동할 네트워크 정보를 등록하도록 하여 핸드오프 시간을 단축하고 패킷 분실을 감소시켜 연속적인 네트워크 사용이 가능하도록 한다.

• Korean Journal of Radiology
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• 제19권6호
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• pp.1053-1065
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• 2018

Objective: To evaluate the clinical impact of using registration software for ablative margin assessment on pre-radiofrequency ablation (RFA) magnetic resonance imaging (MRI) and post-RFA computed tomography (CT) compared with the conventional side-by-side MR-CT visual comparison. Materials and Methods: In this Institutional Review Board-approved prospective study, 68 patients with 88 hepatocellulcar carcinomas (HCCs) who had undergone pre-RFA MRI were enrolled. Informed consent was obtained from all patients. Pre-RFA MRI and post-RFA CT images were analyzed to evaluate the presence of a sufficient safety margin (${\geq}3mm$) in two separate sessions using either side-by-side visual comparison or non-rigid registration software. Patients with an insufficient ablative margin on either one or both methods underwent additional treatment depending on the technical feasibility and patient's condition. Then, ablative margins were re-assessed using both methods. Local tumor progression (LTP) rates were compared between the sufficient and insufficient margin groups in each method. Results: The two methods showed 14.8% (13/88) discordance in estimating sufficient ablative margins. On registration software-assisted inspection, patients with insufficient ablative margins showed a significantly higher 5-year LTP rate than those with sufficient ablative margins (66.7% vs. 27.0%, p = 0.004). However, classification by visual inspection alone did not reveal a significant difference in 5-year LTP between the two groups (28.6% vs. 30.5%, p = 0.79). Conclusion: Registration software provided better ablative margin assessment than did visual inspection in patients with HCCs who had undergone pre-RFA MRI and post-RFA CT for prediction of LTP after RFA and may provide more precise risk stratification of those who are treated with RFA.

• 한국산학기술학회논문지
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• 제4권4호
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• pp.329-333
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• 2003

본 논문에서는 컴퓨터 시뮬레이션을 이용하여 모바일 IP에서 사용하는 낮은 지연을 갖는 사전 등록 핸드오프 방식의 성능을 분석한다. 시스템의 이용률에 따라서 패킷 손실과 지연을 평가한다. 사전 등록 핸드오프 방식에 참여하는 외부 에이전트는 입력 및 출력포트를 갖는 큐로써 모델링 할 수 있으므로 본 논문에서는 오픈 큐잉 네트워크 모델을 이용하여 사전등록 핸드오프 방식의 지연 시간값과 시스템내에 있는 패킷수를 얻기 위한 해석적 모델을 제시한다. 해석적 모델과 컴퓨터 시뮬레이션으로 얻은 값이 거의 일치함을 알 수 있다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.181-185
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• 2006

Image co-registration is the process of overlaying two images of the same scene, one of which represents a reference image, while the other is geometrically transformed to the one. In order to improve efficiency and effectiveness of the co-registration approach, the author proposed a pre-qualified area matching algorithm which is composed of feature extraction with canny operator and area matching algorithm with cross correlation coefficient. For refining matching points, outlier detection using studentized residual was used and iteratively removes outliers at the level of three standard deviation. Throughout the pre-qualification and the refining processes, the computation time was significantly improved and the registration accuracy is enhanced. A prototype of the proposed algorithm was implemented and the performance test of 3 Landsat images of Korea showed: (1) average RMSE error of the approach was 0.436 Pixel (2) the average number of matching points was over 38,475 (3) the average processing time was 489 seconds per image with a regular workstation equipped with a 3 GHz Intel Pentium 4 CPU and 1 Gbytes Ram. The proposed approach achieved robustness, full automation, and time efficiency.

• 대한원격탐사학회지
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• 제36권4호
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• pp.545-555
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• 2020

This paper focuses on automatic image registration between EO (Electro-Optical) and IR (InfraRed) satellite images with different spectral properties using block-based approach and simple preprocessing technique to enhance the performance of feature matching. If unpreprocessed EO and IR images from Kompsat-3A satellite were applied to local feature matching algorithms(Scale Invariant Feature Transform, Speed-Up Robust Feature, etc.), image registration algorithm generally failed because of few detected feature points or mismatched pairs despite of many detected feature points. In this paper, we proposed a new image registration method which improved the performance of feature matching with block-based registration process on 9-divided image and pre-processing technique based on adaptive histogram equalization. The proposed method showed better performance than without our proposed technique on visual inspection and I-RMSE. This study can be used for automatic image registration between various images acquired from different sensors.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.594-597
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• 2006

Image co-registration is the process of overlaying two images of the same scene. One of which is a reference image, while the other (sensed image) is geometrically transformed to the one. Numerous methods were developed for the automated image co-registration and it is known as a time-consuming and/or computation-intensive procedure. In order to improve efficiency and effectiveness of the co-registration of satellite imagery, this paper proposes a pre-qualified area matching, which is composed of feature extraction with Laplacian filter and area matching algorithm using correlation coefficient. Moreover, to improve the accuracy of co-registration, the outliers in the initial matching point should be removed. For this, two outlier detection techniques of studentized residual and modified RANSAC algorithm are used in this study. Three pairs of Landsat images were used for performance test, and the results were compared and evaluated in terms of robustness and efficiency.

• 대한원격탐사학회지
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• 제22권5호
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• pp.439-443
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• 2006

Image co-registration is the process of overlaying two images of the same scene. One of which is a reference image, while the other (sensed image) is geometrically transformed to the one. Numerous methods were developed for the automated image co-registration and it is known as a timeconsuming and/or computation-intensive procedure. In order to improve efficiency and effectiveness of the co-registration of satellite imagery, this paper proposes a pre-qualified area matching, which is composed of feature extraction with Laplacian filter and area matching algorithm using correlation coefficient. Moreover, to improve the accuracy of co-registration, the outliers in the initial matching point should be removed. For this, two outlier detection techniques of studentized residual and modified RANSAC algorithm are used in this study. Three pairs of Landsat images were used for performance test, and the results were compared and evaluated in terms of robustness and efficiency.

• 한국멀티미디어학회논문지
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• 제16권12호
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• pp.1454-1464
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• 2013

본 논문에서는 수술 중 촬영된 2D XA(X-ray Angiogram) 영상에 수술 전 촬영된 3D CTA (Computed Tomography Angiography) 영상 정보를 융합 가시화하기 위한 고속의 강체 정합 기법을 제안한다. 본 논문에서는 두 혈관 사이의 특징점 정보를 이용하여 예측 투영 위치 지점을 추정하는 삼각 측정을 통한 추정치 예측 기법을 제안하여 빠르고 견고한 초기 정합이 가능하다. 이에 더하여 주축을 생성하여 정렬시킨 후 경계 상자를 이용하여 혈관의 형태를 비교하는 방법으로 더욱 정확한 초기 정합이 가능하다. 다음으로 정밀정합은 선택적 거리 측정을 통하여 각 영상에서의 혈관들의 거리 차이가 최소인 위치로 영상을 정합한다. 실험으로 5명의 환자 데이터에 대하여 영상정합을 하였고, 기존 기법과 수행 속도와 정확성, 견고성 측면에서 비교 평가하였다. 실험 결과 제안 기법은 기존 기법에 비하여 최적의 위치로 빠르고 견고하게 정합되었다.