• Journal of Biomedical Engineering Research
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• v.22 no.5
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• pp.377-384
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• 2001

Generally. there have been limitations to investigate structural brain abnormalities with MR images for psychiatric patients. such as schizophrenia. depression and autism, since the brain abnormalities of psychiatric Patients are too small to be detected easily. It has been suggested to exploit the result of size-comparison or analysis of specified Part in various brain tissues. Results of brain analysis highly depend on accuracy of the brain segmentation because it is hard to segment image that the boundary between tissues in the brain MRI is inherently value. In this Paper. we improve the quality of brain segmentation so that we increase the credit of brain analysis. In addition, we Provide the improved images for studying brain abnormalities through left-right insular volume measure using handy software tool .

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2002.11a
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• pp.159-162
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• 2002

데이터에 삽입되어 있는 워터마크를 제거하려는 공격기법이 점차 발전되면서 여러 가지 워터마킹 알고리즘이 등장하게 된다. 보통 워터마크를 제거하기 위해서는 워터마크 신호의 동기를 제거하는 동기-제거(De-Syncronization) 공격 방법을 이용한다. 이런 공격에 대처하기 위한 워터마킹 방법으로는 세 가지로 분류할 수 있는데, 공격에 영향을 받지 않는 영역(invariant domain)에 워터마크를 삽입하는 방법, 템플릿(template)을 이용한 방법, 자기 참조(self-reference)를 이용한 기법 등이 있다. 본 논문에서는 공간 영역에서의 자기 참조 워터마킹 방법을 소개하고, 이에 적합한 메시지를 삽입하고 검출하는 방법에 대해 제안한다. 삽입하려는 메시지와 Reed-solomon Code를 이용하여 만든 부가적인 정보를 QOS(Quasi-orthogonal sequences)방법과 DSSS를 이용하여 만든 다음 키 값을 이용하여 뒤섞으면 워터마킹 블록을 자기 참조 워터마킹 방법으로 영상에 삽입하게 된다. 그 결과 일반적 필터링 공격에는 95% 이상 검출됐고, JPEG 압축 파라미터 60에서도 97% 이상 검출되었다.

• Journal of the Geological Society of Korea
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• v.54 no.6
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• pp.677-682
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• 2018

Magnetic anomalies are sensitive to magnetic properties present in deep Earth and near surface structures. Such geophysical characteristics often can be quantified by numerical analyses. In this study, we developed a finite element method (FEM) approach to compute magnetic anomalies using COMOL $Multiphysics^{(R)}$. This FEM approach was verified by comparing its numerical results with the previously known analytic solution for a uniformly magnetized sphere. Then, we used the method to compute magnetic reversal patterns near mid-ocean ridge with various faulting scenarios. This COMSOL-based approach can be incorporated into advanced multi-physical numerical models to understand the Earth.

• Proceedings of the KAIS Fall Conference
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• 2005.05a
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• pp.67-70
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• 2005

[ $a-Fe/Nd_2Fe_{14}B$ ]기 이상나노복합합금(two-phase nanocompositie alloy)의 자기적 특성 향상을 위하여, $Nd_9Fe_{84}B_7$ 조성의 합금을 급속 응고법과 등온열처리를 이용하여 제조한 후, 공정 조건의 변화에 따른 상, 미세조직, 자기특성의 변화 등을 조사하였다. 주어진 Nd-Fe-B 삼원계 합금을 35 m/s 이상에서 급랭 응고하였을 때 완전한 비정질 합금을 얻을 수 있었으며, 최적 자기특성을 얻기 위한 적정 열처리 구역은 $700^{\circ}C$/10 - 15분, 725$^{\circ}C$/7 - 12분, $750^{\circ}C$/5 - 7분으로 조사되었다. 이 구역들에서 열처리된 합금들은 모두 매끄러운 감자곡선(demagnetization curve)을 나타내, a-Fe와 $Nd_2Fe_{14}B$사이의 교환상호결합이 잘 일어나고 있음을 알 수 있었으며, 이때 a-Fe와 $Nd_2Fe_{14}B$의 평균 입자 크기는 각각 약 10nm와 40$\~$60 nm였다. 한편 상 전개의 차이에도 불구하고 열처리 후에는 모든 합금들이 $60\%$ 이상의 $M_r/M_s$ 비율을 나타내 열처리 조건의 변화에 관계없이 교환상호작용은 일어나고 있음을 알 수 있었다.

• Journal of Sensor Science and Technology
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• v.6 no.6
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• pp.458-465
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• 1997

In this paper, a theory of the geological magnetic filter for the improvements of the signal to noise ratio of the magnetic detection system has been developed. The geological magnetic filter takes two sequences of magnetic fields measured from the reference sensor and the detector sensor and calculate the correlations between them in the frequency domain. Using the filter, we can remove the coherent noises in the time domain and improve the signal to noise ratio of the magnetic detection system. With the recent developments of the DSP hardware technology the geological magnetic filter can be easily implemented using the digital signal processor. We show the ability of the geological magnetic filter under various circumstances through computer simulations. Numerical simulation results show that geological magnetic filter can excellently remove the sensor misalignment effects and the regular short range local noise as well as it delete the coherent noises.

• Journal of radiological science and technology
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• v.40 no.3
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• pp.493-499
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• 2017

In order to analyze the degree of self-learning development ability after the clinical training curriculum, the results of 121 questionnaires were analyzed for 3rd and 4th grade students in radiology in the metropolitan area. The overall average of self-learning ability according to gender was $3.07{\pm}0.85$, which was statistically significant according to gender. However, the results according to educational system showed that the overall average was $3.07{\pm}0.85$, which was higher than the average level of self-learning development ability. There was no statistically significant difference according to educational system. The results of the self-learning development ability according to the motivation for selecting the department showed that the students who have chosen their department due to their higher employment rate after graduation had high self-development ability level($3.58{\pm}0.85$) but the students who entered the school due to self-aptitude had relatively lower self-development ability level ($2.30{\pm}0.40$). The overall average of self-learning ability according to direction of career path was $3.08{\pm}0.76$, which was over-average of self-learning development ability. Thus, there was statistically significant difference according to career path. It is necessary to improve the self-learning ability in clinical practice. In addition, the lack of statistical significance suggests problems and diversity.

• Proceedings of the Korean Magnestics Society Conference
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• 1998.05a
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• pp.44-45
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• 1998

• Proceedings of the Korean Magnestics Society Conference
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• 2006.06a
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• pp.158-158
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• 2006

• Proceedings of the Korean Magnestics Society Conference
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• 2006.11a
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• pp.36-36
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• 2006

• Proceedings of the KSMRM Conference
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• 2004.09a
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• pp.14-14
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• 2004