• 핵의학기술
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• 제14권1호
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• pp.40-45
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• 2010

Purpose: Recently, the performance of the X-ray tube was very much improved by the power generation of the technology. However, the overload of equipment is occurred by the increment of the equipment operating time according to the increment of the examination number of cases. The X-ray dose can change by heat occurrence of the X-ray tube due to this. Moreover, the change of the bone mineral density value is possible to occur. Therefore, We tries to whether the change of the bone mineral density value of each equipment according to the difference of the examination number of cases and operating time occur or not. Materials and Methods: The BMD value was measured by the Aluminum Spine Phantom and the European Spine Phantom in each equipment, in order to find out about the difference of the time general classification bone mineral density value by using the Dual energy X-ray absorptiometry. And after scanning each phantom by using X-ray dose meter (Unfors Mult-O-Meter), a dose was measured by the same condition. As to, an average and standard deviation were found and the change of each equipment much BMD value was compared and it evaluated. Results: $Mean{\pm}SD$ of each equipment by using the Aluminum Spine Phantom, A equipment was $1.174{\pm}0.002$, $1.171{\pm}0.005$, $1.173{\pm}0.005$, B equipment was $1.186{\pm}0.003$, $1.187{\pm}0.003$, $1.185{\pm}0.003$, C equipment was $1.180{\pm}0.003$, $1.182{\pm}0.004$, $1.183{\pm}0.002$, D equipment was $1.188{\pm}0.004$, $1.185{\pm}0.003$, $1.185{\pm}0.004$. By using the European Spine Phantom, A equipment was $1.143{\pm}0.006$, $1.153{\pm}0.009$, $1.161{\pm}0.003$, B equipment was $1.134{\pm}0.004$, $1.13{\pm}0.008$, $1.127{\pm}0.015$, C equipment was $1.143{\pm}0.006$, $1.134{\pm}0.01$, $1.133{\pm}0.006$, D equipment was $1.14{\pm}0.001$, $1.122{\pm}0.002$, $1.131{\pm}0.008$, altogether included in the normal range. Conclusion: There was no significant change of the BMD value of using a phantom by time zones. Therefore, if the quality control is made to use the extent management method of the equipment for beginning in the present application, the reliability of the BMD equipment will be able to be enhanced.

• 한국컴퓨터그래픽스학회논문지
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• 제22권3호
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• pp.21-29
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• 2016

본 논문은 명시야 (bright-field) 현미경 영상를 위한 데이터 기반 세포 분할 알고리즘을 제시한다. 제시된 알고리즘은 일반적인 사전 학습 기법과 다르게 동시에 두 개의 사전과 관련된 희소 코드 (sparse code)를 통해 정의된 에너지 함수의 최소화를 진행하게 된다. 두 개의 사전 중 하나는 명시야 영상에 대해 학습된 사전이고 다른 하나는 사람에 의해 수작업으로 세포 분할된 영상에 대해 학습된 것이다. 학습된 두 개의 사전을 세포 분할 될 새로운 입력 영상에 대해 적용하여 이와 관련된 희소 코드를 획득한 후 픽셀 단위의 분할을 진행하게 된다. 효과적인 에너지 최소화를 위해 합성곱 희소 코드 (Convolutional Sparse Coding)와 Alternating Direction of Multiplier Method(ADMM)이 사용되었고 GPU를 사용하여 빠른 분산 연산이 가능하다. 본 연구는 이전에 사용된 가변형 모델 (deformable model)을 이용한 세포 분할 방식과는 다르게 제시된 알고리즘은 세포 분할을 위해 사전 지식이 필요없이 데이터 기반의 학습을 통해서 쉽고 효율적으로 세포 분할을 진행할 수 있다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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• pp.233-236
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• 2000

The acoustical response of fish depends on size and physical structure na, most important, on the presence or absence of a swimbladder. Acoustic scattering models for swimbladdered fish represent a fish by an ideal pressure-release surface having the size and shape as the swimbladder. Target strength experiments of red seabream (Chrysophrys major) have been conducted using 38 (split-beam), 120 (split-beam) and 200kHz (dual-beam) frequencies. At each start of each experiment, the live fish are placed in the cage at the surface, then the cage is lowed to about $4{\cal}m$ depth where it remains during the measurements. To test the acoustic models, predictions of target strength based on swimbladder morphometries of 10 red seabream offish total length from $103{\cal}mm{\;}to{\;}349{\cal}mm$ ($3 <$TL/\lambda$ < 45)are compared with conventional target strength measurements on the same, shock-frozen immediately after caged experiments. X-ray was projected along dorsal aspect to know the morphological construction of swimbladder. and fish body. At high frequencies, Helmholtz-kirchhoff(HK) approximation would greatly enhance swimbladdered fish modeling. Sound scattering model [HK-ray approximation model] for comparison to experimental target strength data was used to model backscatter measurements from individual fish. The scattering data can be used in the inverse method along with multiple frequency sonar systems to investigate the adequacy of classification and identification of fish

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.3106-3106
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• 2001

Imaging spectrometry or hyperspectral imaging is a recent development that makes possible quantitative and qualitative measurement for food quality and safety. This paper presents the research results that a hyperspectral imaging system can be used effectively for detecting fecal (from duodenum, cecum, and colon) and ingesta contamination on poultry carcasses from the different feed meals (wheat, mile, and corn with soybean) for poultry safety inspection. A hyperspectral imaging system has been developed and tested for the identification of fecal and ingesta surface contamination on poultry carcasses. Hypercube image data including both spectral and spatial domains between 430 and 900 nm were acquired from poultry carcasses with fecal and ingesta contamination. A transportable hyperspectral imaging system including fiber optically fabricated line lights, motorized lens control for line scans, and hypercube image data from contaminated carcasses with different feeds are presented. Calibration method of a hyperspectral imaging system is demonstrated using different lighting sources and reflectance panels. Principal Component and Minimum Noise Fraction transformations will be discussed to characterize hyperspectral images and further image processing algorithms such as image band ratio of dual-wavelength images and its histogram stretching with thresholding process will be demonstrated to identify fecal and ingesta materials on poultry carcasses. This algorithm could be further applied for real-time classification of fecal and ingesta contamination on poultry carcasses in the poultry processing line.

• 대한간호학회지
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• 제30권1호
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• pp.137-147
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• 2000

The purpose of this study was to investigate characteristics of teenagers' perceptions to bullies according to the classification types of Q-methodology. The results of the analysis were classified in 5 types. Type 1, which was the type geared foward solution, showed that they expressed a strong attitude of sympathy and protection towards the victim. However, they had harbored rage and hostile feelings against the assaulter. For example, when they witnessed the bully in action, they positively intervened in the situation. Type 2, which was the observer type, showed that they thought the victims were to blame for their misfortune. Also, when a friend who was left out in the cold by his classmates, they were just watched without showing any special interest. Type 3, which was the type of conflict, indicated that they believed that the both the victim and the assaulter should have responsibility. In contrast to the previous type, they had sympathy for the friend who was left out in the cold by his classmates, they had the dual feeling that intended to use the bully under the situation with his friend. Type 4, which was the type of assenting, indicated that they assumed an indifferent attitude to the situation, while they implied assenting to the situation of the friend who had a bad relationship with them. Type 5, which was the negative type, showed that they had the negative view to the situation of bully itself so that they did not recognize the bully as the method of revenge for whatever reason. The results of the study showed that the bully increased the factor of stress to school life of the victim or assaulter, even in the subjective position. The perception of the bully should change according to the characteristics of the types of people and it is necessary to study how to cope with the situations.

• 한국의상디자인학회지
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• 제19권3호
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• pp.17-32
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• 2017

Modern society has been transformed into a digital emotional society that could gradually be seen, felt, and enjoyed by the diversification of personal consumption desires due to digital development. Accordingly, in fashion, an original fashion sense that arose out of classical and conventional thinking has become important and there is an increasing interest in patchwork quilts. The purpose of this study lies in contributing to the development and utilization of creative and emotional fashion design by expanding the mental changes that have emerged in modern society to creative areas after analyzing the classification and expression characteristics of the type cases of patchwork quilt techniques expressed in modern fashion. In addition, it is meaningful to examine how the expressive characteristics of patchwork quilts are expressed in the digital emotion era. This study paralleled literature research and empirical case studies. In the scope and method of research, the theatrical research was centered on literature data. For visual data, website photos were collected, limited to women's clothing among the collections from Fall & Winter 2014 to Spring & Summer 2017. After drawing the expression types of patchwork quilts extracted from the previous research based on the design formative factors, the fashion-related expert group analyzed the expressive characteristics of 501 photographs in which the patchwork quilt of the designer clothing collection were reflected. As a result of analysis, the expressive types appeared in the order of diversification of techniques and materials, extended dual images, new formative composition, and reconstruction of traditional patchwork. In this study, the expressive characteristics of patchwork quilts expressed in contemporary fashion are analyzed and drawn as variability, compromise, convergence, and playfulness. Through this, it is hoped that this study can be used variously in the development of fashion design by expanding the interpretation of costume culture.

• 한국간호교육학회지
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• 제10권1호
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• pp.84-93
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• 2004

Purpose: This study was conducted to investigate the subjective degree of fatigue, the degree of fatigue depending on constitution, and the factors related to fatigue in middle-aged women. Method: Data were collected from 51 patients, registered at Oriental Medicine Hospital in J-city and K-city respectively. The instrument used in this study were the Multidimensional Assessment of Fatigue and the Questionnaire of Sasang Constitution Classification Ⅱ. Data analysis was done SPSS Result: The characteristics of constitution in middle-aged women could be divided into three: twenty six people of Soeumin, thirteen people of Taeumin, and twelve people of Soyangin. The degree of fatigue in middle-aged women: the average score 30.61 out of the total score 40. Subdivision of fatigue scores: common fatigue degree 7.71, distress due to fatigue 7.67, degree of daily activity fatigue 7.43, and fatigue frequency in the previous week 7.84. There were significant differences in the degree of fatigue depending on constitution in middle-aged women(p=.033). This study revealed weight, exercise, and drinking are important factors that can exert influence on the degree of fatigue. Also, there was a big difference in the degree of fatigue depending on constitution. Conclusion: In conclusion, fatigue is one of the difficult problems with middle-aged women. And this study revealed that change in the weight(especially loss of weight), physical exercise, and drinking are important factors that can exert influence on the degree of fatigue. Also, there was a big difference in the degree of fatigue depending on constitution. Therefore it is necessary to develop Korean nursing intervention to providing an appropriate environment where there is the harmony of the dual principles of the negative and positive, and patients can be taken care of properly.

• 대한한방부인과학회지
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• 제34권1호
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• pp.1-14
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• 2021

Objectives: We studied for the adjustment of the patterns of 'The Diagnostic Tool for Climacteric and Postmenopausal Syndrome Pattern Identification (hereinafter CaPSPI)' (studyI) and the correlation between CaPSPI and Korean medicine doctors' diagnosis which was carried out without knowing the results of CaPSPI (studyII). Methods: The studyI followed the previous study method in 2018 (2018-3). The studyII was conducted from June 1, 2019 to July 10, 2020 with ◯◯ University Korean Medicine Hospital IRB's approval (2019-4). Doctors' diagnosis was conducted face-to-face with the subjects. Doctors' diagnosis was carried out based on the Kupperman's questionnaire, 'Diagnosis System of Oriental Medicine (hereinafter DSOM)' and four examinations (四診) records. The diagnosis was marked with 0 for 'no', 1 for 'somewhat', 2 for 'yes' and 3 for 'very yes'. The correlation between CaPSPI and the mean of doctors diagnostic scores were investigated statistically. Results: The studyI showed that heart-heat (心火) pattern was added. The Factor loading coefficient for heart-heat was 0.551 to 0.789, and the Cronbach's coefficient was 0.896. The studyII showed that the diagnosis (Kappa statistic) of two doctors showed statistically significant concordance (all eight patterns), with correlation of them were 0.3 or higher. And the correlation between the CaPSPI score and the mean of doctors' diagnostic score showed a statistically significant correlation, with liver qi depression (肝鬱) being the highest at 0.552 and dual deficiency of the heart-spleen (心脾兩虛) being the lowest at 0.301. Conclusions: Since the diagnosis results of CaPSPI showed a significant correlation with the diagnosis of Korean traditional medicine experts, it was believed that the CaPSPI results can be trusted and used for clinical purposes.

• 지능정보연구
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• 제27권4호
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• pp.1-22
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• 2021

텍스트를 바탕으로 한 차원 기반 감성 분석(Aspect-Based Sentiment Analysis)은 다양한 산업에서 유용성을 주목을 받고 있다. 기존의 차원 기반 감성 분석에서는 타깃(Target) 혹은 차원(Aspect)만을 고려하여 감성을 분석하는 연구가 대다수였다. 그러나 동일한 타깃 혹은 차원이더라도 감성이 나뉘는 경우, 또는 타깃이 없지만 감성은 존재하는 경우 분석 결과가 정확하지 않다는 한계가 존재한다. 이러한 문제를 해결하기 위한 방법으로 차원과 타깃을 모두 고려한 감성 분석(Target-Aspect-Sentiment Detection, 이하 TASD) 모델이 제안되었다. 그럼에도 불구하고, TASD 기존 모델의 경우 구(Phrase) 간의 관계인 지역적인 문맥을 잘 포착하지 못하고 초기 학습 속도가 느리다는 문제가 있었다. 본 연구는 TASD 분야 내 기존 모델의 한계를 보완하여 분석 성능을 높이고자 하였다. 이러한 연구 목적을 달성하기 위해 기존 모델에 합성곱(Convolution Neural Network) 계층을 더하여 차원-감성 분류 시 보조 손실(Auxiliary loss)을 추가로 사용하였다. 즉, 학습 시에는 합성곱 계층을 통해 지역적인 문맥을 좀 더 잘 포착하도록 하였으며, 학습 후에는 기존 방식대로 차원-감성 분석을 하도록 모델을 설계하였다. 본 모델의 성능을 평가하기 위해 공개 데이터 집합인 SemEval-2015, SemEval-2016을 사용하였으며, 기존 모델 대비 F1 점수가 최대 55% 증가했다. 특히 기존 모델보다 배치(Batch), 에폭(Epoch)이 적을 때 효과적으로 학습한다는 것을 확인할 수 있었다. 본 연구에서 제시된 모델로 더욱 더 세밀한 차원 기반 감성 분석이 가능하다는 점에서, 기업에서 상품 개발 및 마케팅 전략 수립 등에 다양하게 활용할 수 있으며 소비자의 효율적인 구매 의사결정을 도와줄 수 있을 것으로 보인다.