• 수산해양교육연구
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• 제22권4호
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• pp.611-620
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• 2010

The purpose of this study was to analysis of the image of elementary school teachers on special class. The Q-methodology was used as a research method which is useful for analyzing subjectivity like as human value, attitude, belief and image. P-sample as subjects of this study was collected from 40 elementary school teacher in Busan. A data was analyzed using QUANL PC program. As a result of research, the image of elementary school teachers on special class was classified as 4 type. The 1 type was labeled the practical proponent type. The 1 type teachers highly estimate the educational importance of the special class and thought it as a place that educational possibility of children with disabilities can come true. The 2 type was labeled the passive bystander type. They are quite indifferent to the special class, and are skeptical about the educational achievement of children with disabilities. The 3 type was labeled the ideational positive type. They admit the importance of the special class, but thought that the image about the special class highly depends on the ability of the teachers who take responsibility for it. The 4 type was labeled the realistic opponent. They criticize the special class for not being the place that inclusion education for children with disabilities comes true and they are dissatisfied with the fact that ordered-curriculum for children with disabilities isn't applied at all.

• 한국콘텐츠학회논문지
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• 제22권8호
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• pp.33-43
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• 2022

지식 그래프 및 단백질 상호 작용과 같은 실제 데이터에서 개체들과 개체들의 관계 및 구조를 나타내기 위해 레이블 그래프를 사용한다. IT의 급속한 발전과 데이터의 폭발적인 증가로 사용자에게 관심 있는 정보를 제공하기 위한 서브 그래프 매칭 기술이 필요하다. 본 논문은 레이블의 의미적 유사성과 그래프 구조 차이를 고려한 근사 Top-k 서브 그래프 매칭 기법을 제안한다. 제안하는 기법은 레이블 의미적 유사도를 고려하기 위하여 FastText을 활용한 학습 모델을 이용한다. 레이블 간 의미적 유사도를 미리 계산한 LSG(Label Similarity Graph)를 통해 처리 속도의 효율을 높인다. LSG를 통해 레이블이 정확하게 일치해야 확장이 가능한 기존 연구의 한계를 해결한다. 2-hop까지 탐색을 수행함으로써 질의 그래프에 대한 구조적 유사성을 지원한다. 매칭된 서브 그래프는 유사도 값 기반으로 Top-k 결과를 제공한다. 제안하는 기법의 우수성을 보이기 위하여 다양한 성능평가를 수행한다.

• 한국분말재료학회지
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• 제19권4호
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• pp.297-303
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• 2012

In this study, voltammetry system for realizing high sensitivity nano-labeled sensor of detecting heavy metals was designed, and optimal system operating conditions were determined. High precision digital to analog converter (DAC) circuit was designed to control applied unit voltage at working electrode and analog to digital converter (ADC) circuit was designed to measure the current range of $0.1{\sim}1000{\mu}A$ at counter electrode. Main control unit (MCU) circuit for controlling voltammetry system with 150 MHz clock speed, main memory circuit for the mathematical operation processing of the measured current value and independent power circuit for analog/digital circuit parts to reduce various noise were designed. From result of voltammetry system operation, oxidation current peaks which are proportional to the concentrations of Zn, Cd and Pb ions were found at each oxidation potential with high precision.

• 한국경영과학회지
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• 제31권2호
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• pp.69-85
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• 2006

Transductive Support Vector Machine(TSVM) is one of semi-supervised learning algorithms which exploit the domain structure of the whole data by considering labeled and unlabeled data together. Although it was proposed several years ago, there has been no efficient algorithm which can handle problems with more than hundreds of training examples. In this paper, we propose an efficient branch-and-bound algorithm which can solve large-scale TSVM problems with thousands of training examples. The proposed algorithm uses two bounding techniques: min-cut bound and reduced SVM bound. The min-cut bound is derived from a capacitated graph whose cuts represent a lower bound to the optimal objective function value of the dual problem. The reduced SVM bound is obtained by constructing the SVM problem with only labeled data. Experimental results show that the accuracy rate of TSVM can be significantly improved by learning from the optimal solution of TSVM, rather than an approximated solution.

• 대한가정학회지
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• 제39권2호
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• pp.73-84
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• 2001

The purposes of this study were 1) to identify the effect of clothing benefit sought on fashion image sought and 2) to determine the effects of fashion image and benefit sought on purchase intention of Gal-ot. The data were collected via a self-administered questionnaire from 172 female tourist(20 to 50 ages) in Cheju and analyzed by factor analysis, stepwise multiple regression analysis and logistic regression analysis. Four factors of benefit sought were identified : Practicality/economic-value, aesthetics, reputation, and souvenir-value. Six factors of fashion image were found and labeled as: Sexy/feminine, wild/mannish, easy/simple, Cheju image, ecology and natural image. The effects of benefits sought(Practicality/economic-value, aesthetics, reputation and souvenir-value) on fashion image(Sexy/feminine, easy/simple, Cheju and natural image) were found. There were also significant effects of benefit sought(souvenir-value) and fashion image(Cheju image) on purchase intention of Gal-ot.

• 한국의류학회지
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• 제26권11호
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• pp.1537-1546
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• 2002

The purpose of this study was to examine fashion counterfeit purchasing behavior among female college students.497 female college students living in Seoul were surveyed for this study. For data analysis, descriptive statistics, factor analysis, and t-test were used. As the results, approximately 54% of respondents had purchased fashion counterfeits before. Among fashion counterfeit products, handbag, apparels, shoes and accessories were frequently purchased by them. For materialism instrument, three factors of materialism were found and labeled as happiness, ownership, and economic factors. Three factors of shopping values were also identified as hedonic, utilitarian, and social shopping values. There were statistically significant differences between purchasing group and non-purchasing group in terms of materialism and shopping values; that is, those who had purchased fashion counterfeits showed higher scores on materialism and hedonic and social shopping value than those who had not.

• Journal of Radiation Protection and Research
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• 제26권4호
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• pp.375-384
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• 2001

베타선 스펙트럼의 최대 에너지가 확실하게 구별되는 2개의 핵종만을 포함하는 혼합시료의 경우에는 최대 에너지가 다르다는 점을 이용하여 손쉽게 각 핵종의 방사능 값을 측정할 수 있다. 그러나 3개 이상의 베타 방출 핵종이 포함된 혼합물에 대해서는 각 핵종의 스펙트럼이 서로 겹치기 때문에 이러한 방법으로 구해진 방사능 값은 신뢰도가 떨어지게 된다. 따라서, 본 연구에서는 최소자승법을 이용하여 혼합물의 중첩된 베타선 스펙트럼을 각각 분리 정량분석 할 수 있는 방법을 제시하였다. 또한, 실제로 4개의 베타 방출 핵종($^3H,\;^{14}C,\;^{36}Cl\;^{90}Sr$)이 혼합된 시료를 조제하여 본 분석법을 검증한 결과 참고치(Reference value)와 분석치가 7% 이내에서 잘 일치함을 보였다.

• 한국ITS학회 논문지
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• 제18권4호
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• pp.71-79
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• 2019

의미론적 분할 형태로 합성곱 신경망을 구성하여 도로노면의 파손을 탐지하는 연구가 진행되고 있다. 이러한 합성곱 신경망 형태의 모델을 생성하기 위해서는 입력 이미지와 이에 상응한 레이블된 이미지 데이터셋으로 수집해야 하고, 이러한 과정에서는 굉장히 많은 시간과 비용이 발생하게 된다. 본 논문에서는 이러한 작업을 완화하기 위하여 수도 레이블링을 활용한 준지도 학습 기반의 도로노면 파손 탐지 기술을 제안하고자 한다. 레이블된 데이터셋과 레이블되지 않은 데이터셋을 적절하게 혼합하여 도로노면 파손을 탐지하는 모델을 업데이트하고, 이를 레이블된 데이터셋만을 활용한 기존 모델과 성능을 비교한다. 주관적인 성능결과, 민감도 부분에서는 조금 저하된 성능을 보였지만, 정밀도 부분에서는 대폭 성능 향상이 있었으며, 최종적으로 $F_1-score$ 또한 높은 수치로 평가되었다.

• 한국주거학회논문집
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• 제25권2호
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• pp.71-78
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• 2014

In recent years, Korean government has focused on improving the environmental impact of products in order to reduce greenhouse gas emissions and to achieve their energy goals. The government has been conducting the following polices such as green procurement inducement and certification system. After carbon labeling was conducted in 2009, among a total of 1,065 items, 97 building materials have been given a certification: finishing materials items have the highest weight (56%). The increase in the certification numbers shows that there has been considerable technical efforts in the building material industry. At the awareness of carbon label and purchase of low carbon product, however, customers are aware of carbon labeling but the purchasing rate of carbon product is low. In this paper, we suggest that low carbon activities must also be considered in order to create client value by adding the concept of ecological efficiency. The objective of this study to measurer the eco-efficiency of carbon labeled building materials on the basis of environmental aspects of the product with the perspective of economy for purchasing the excellent products.

• Journal of Ginseng Research
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• 제15권2호
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• pp.112-116
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• 1991

The metabolic fate of ginsenosides including gastrointestinat absorption, organ distribution, excretion and metabolism in liver was investigated by tracer studies using the radio-labeled ginsenosides. 3H-ginsenosides were shown to be absorbed from the mouse digestive tract and then to be excreted rapidly into urine and/or bile. Bile juice was concluded to play a significant role in absorption of ginsenosides. The total concentration of radioactivity persisted in tissues 24 hrs after oral administration was less than 1.3% of the administered dose and Rbl showed the highest value. The concentrations of radioactivity were relatively high in the liver and kidney. After administration of Rbl radioactivity was detected in the brain. After oral administration of 8H-ginsenosides, major component excreted into urine was found to be the intact ginsenosides and decomposed and/or metabolized products were found in GIT in the case of Rbl. 3H-ginsenoside Rbl was shown to be metabolized in the liver and the metabolite was suggested to be an acylated compound of Rbl by a certain organic acid.