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Compton Imaging Simulator를 이용한 다층 구조 컴프턴 카메라 성능평가 예비 연구
이세형,박성호,서희,박진형,김찬형,이주한,이춘식,이재성,Lee, Se-Hyung,Park, Sung-Ho,Seo, Hee,Park, Jin-Hyung,Kim, Chan-Hyeong,Lee, Ju-Hahn,Lee, Chun-Sik,Lee, Jae-Sung 한국의학물리학회 2009 의학물리 Vol.20 No.2
A Compton camera, which is based on the geometrical interpretation of Compton scattering, is a very promising gamma-ray imaging device considering its several advantages over the conventional gamma-ray imaging devices: high imaging sensitivity, 3-D imaging capability from a fixed position, multi-tracing functionality, and almost no limitation in photon energy. In the present study, a Monte Carlo-based, user-friendly Compton imaging simulator was developed in the form of a graphical user interface (GUI) based on Geant4 and $MATLAB^{TM}$. The simulator was tested against the experimental result of the double-scattering Compton camera, which is under development at Hanyang University in Korea. The imaging resolution of the simulated Compton image well agreed with that of the measured image. The imaging sensitivity of the measured data was 2~3 times higher than that of the simulated data, which is due to the fact that the measured data contains the random coincidence events. The performance of a stacking-structure type Compton camera was evaluated by using the simulator. The result shows that the Compton camera shows its highest performance when it uses 4 layers of scatterer detectors.
도덕과 수업 평가 기준으로서 ‘좋은 수업’에 관한 연구
이세형(Lee Se Hyung) 한국도덕윤리과교육학회 2005 도덕윤리과교육 Vol.- No.21
도덕과의 평가와 관련해서 지금까지 많은 연구들이 있어 왔지만, 도덕과 수업 자체를 평가하려는 시도는 찾아보기가 힘들었다. 효과적인 도덕과 수업인지를 판단하기 위해서는 수업 평가의 기준이 있어야 한다. 효과적인 도덕과 수업 기준으로서 ‘좋은 수업’의 제시는 도덕과 교사들의 수업을 개선하는데 많은 도움을 줄 것이다. 과 수업을 평가하기 위해서는 수업 평가 기준으로서 어떤 도덕과 수업이 ‘좋은 수업’인지가 제시되어야 한다. 도덕 교육의 성격과 목적에 대해서 다양한 관점들이 존재하지만, 오늘날 좋은 도덕 수업은 이러한 다양한 관점들을 변증법적으로 통합해야 한다는 것에 대해서는 별 다른 이론이 없다. 그러나 어떤 관점을 중심으로 해서 다양한 관점들을 통합할 것인가는 여전히 문제가 되고 있다. 본 연구에서는 도덕적 행동 실천을 강조하는 레스트의 통합적 관점을 바탕으로 도덕과 좋은 수업을 제시하고자 한다. Many have been studied on evaluation of Moral Subject, few studied on evaluation of moral subject instruction itself. There must be the standard of instruction evaluation to estimate wether a instruction is effective instruction or not. Defining good teaching as a standard of teaching evaluation would help teachers improve their instructions. So we must know what Moral Subject instruction can be defined as good teaching to evaluate Moral Subject instruction. Though there are many-sided views on the character and aim of moral education, nowaday there is no objection to that good moral education must unite diversities of the views on moral education dialectically. But it is a problem as ever what view can be at the center to unite diverse views. This study propose a standard for good Moral Subject instruction based on Rest's synthetic view.
이세형(Lee Se hyung) 한국도덕윤리과교육학회 2004 도덕윤리과교육 Vol.- No.19
오늘날의 한국 사회는 다원화 사회의 특징을 보여 준다. 학생들도 가족 관계의 변화, 한부모 가정의 증가, 빈부 격차, 정보화 사회 전개 등에 따라 다양성을 띄게 되었다. 학교가 학생들의 다양성을 반영한 교육을 하지 못 할 경우, 교실 붕괴, 집단 따돌림, 다원화 사회에의 부적응 등과 같은 문제점들이 발생할 수 있다. 따라서, 학교 교육, 특히 도덕 교육은 학생들의 다양성을 반영한 교육을 시행하여야 한다. 이를 위해서 도덕 교과는 사회와 학생들의 다양성을 반영한 교과 내용을 편성해야 한다. 또 도덕 교사는 학생들의 다양성이 존재함을 인정해야 하고, 역할 채택 수업, 협동 학습 등을 통하여 학생들이 서로 간의 다양성을 받아들일 수 있도록 교육해야 한다. Contemporary Korean Society has the characteristics of plural society, so there are various students in schools. This variety of students is generally caused by the change of family-relationship. the increase in the number of one parent families, the noticeable distinction between the rich and the poor, and the expansion of information society. If schools failed to manage the variety of students, the problems like "classroom collapse", harrassing others collectively, and failing to adapt oneself to a plural society would be generated. So a school education, especially a moral education should consider the variety of students. To do this task, the curriculum of moral education should organize the contents related with variety of students and society. And a moral teacher should consider the variety of students and teach students to approve the positions of others through role-taking and cooperating learning.
집단으로 발생한 박새( Veratrum patulum) 중독 23예
이세형 ( Se Hyung Lee ),김영돈 ( Young Don Kim ),하동천 ( Dong Cheon Ha ),한군희 ( Koon Hee Han ),정우진 ( Woo Jin Jeong ),강희동 ( Hui Dong Kang ),천갑진 ( Gab Jin Cheon ) 대한내과학회 2010 대한내과학회지 Vol.79 No.4
Veratrum patulum is a perennial plant with toxicity, which grows wild in the high mountain areas of Korea. Various types of steroidal alkaloids contained in Veratrum patulum are known to cause symptoms such as nausea, vomiting, bradycardia and hypotension. Twenty-three patients were admitted to our center with chief complaints of nausea and vomiting after ingesting leaves of Veratrum patulum. The mean age of the group was 44 years old and was comprised of 19 males and 4 females. Some patients showed hypotension and bradycardia with symptoms such as dizziness. Ten patients with severe bradycardia coupled with other symptoms received atropine administration. Nausea and vomiting were improved after the administration of anti-emetics. Blood pressure and the pulse rate were all normalized on the day after admission, and all of the patients were discharged without any symptoms. (Korean J Med 79:417-421, 2010)
생물학 기반의 확률적 모션 추정 모델을 이용한 영상 분할
이세형(Se Hyung Lee),박영빈(Young Bin Park),서일홍(Il Hong Suh) 대한전자공학회 2011 대한전자공학회 학술대회 Vol.2011 No.12
In this Paper we present a model for image segmentation taking into consideration motion and color. We divide the image into segments in first stage to resolve the problem of two or more object having similar color values being in one segment. Additionally a textured object divided into segments initially is merged with one segment by using motion information. For reliability and accuracy, we developed a bio-inspired motion estimation model based on the Bayesian formulation. In this model, motion is estimated by probabilistic processing of the pixel and region layer. Several experiments were performed to evaluate the performance of our model. The results of these experiments showed that the proposed methodology is effective for image segmentation.