• 한국의류학회지
• /
• 제34권7호
• /
• pp.1184-1196
• /
• 2010

Several applications of body scanning technology have been commercialized or are currently under development. The virtual fit from 3D scans is most advanced form of virtual try-on. This article is an analysis of the comparison of user preferences for domestic versus foreign 3D virtual try-on systems. For this study, domestic i-Fashion Mall (www.ifashionmall.co.kr) and a Canadian company, My Virtual Model (www.mvm.com) were selected as the most representative online retailers that offer a virtual try-on system. The respondents were comprised of 70 Korean female college students in the age group 20-29. A five point Likert scale was used to evaluate the degree of the preference of virtual avatar and try-on images. T-test, cross table, and a chi-square independence test were conducted for data analysis. The results are as follow. 1. The representation about current looks according to each virtual fit image indicates that MVM is more accurate than i-Fashion Mall. 2. About decision confidence, respondents have decision confidence in i-Fashion Mall in the case of the avatar image; however, respondents have confidence in MVM or the fit image. 3. There were no significant differences in among waist size groups in accuracy, trust of each avatar image, while there were significant differences among waist size groups in the accuracy and trust of each virtual fit image. 4. About ease of use, respondents answered that i-Fashion Mall is superior to MVM. 5. The respondents prioritized the ‘fitting report’ of i-Fashion Mall and ‘Weight loss’ of MVM over other functionalities.

• 에너지공학
• /
• 제23권4호
• /
• pp.263-271
• /
• 2014

터빈 사이클의 성능 상태량을 결정하기 위한 보정 열 성능 분석은 발전소의 향상된 경제성 운전을 위해 요구된다. 본 연구에서는 유용하고 정확한 성능 분석을 위해서 산업 표준인 ASME PTC를 기분으로 하여 성능 데이터를 사용하여 주급수 유량의 영역별 판정 알고리듬을 개발하고 각 영역별 추정 알고리즘을 개발하였다. 추정 알고리즘은 측정 상태량의 상관관계를 기반으로 형상 분류를 제시하고, 이를 기반으로 서포트 벡터 머신 모델링을 이용하여 추정 모델을 구성하였으며, 서포트 벡터 머신 모델링의 우수성을 검증하기 위하여 신경 회로망 모델, 커널 회귀 모델과 비교하였다. 주급수 유량의 형상 분류 및 추정 모델은 터빈 사이클에서 정확한 보정 열 성능 분석을 제공함으로써 향상된 성능 분석에 기여할 것이다.

• 한국동물위생학회지
• /
• 제42권4호
• /
• pp.245-250
• /
• 2019

Newcastle disease (ND) is an infectious poultry disease that caused high mortality and reduced egg production. NDVs are regularly present in the domestic duck population. And ducks play a possible role in the maintenance and transmission of NDVs. While we were monitoring the Avian Influenza, NDVs were isolated from field samples by accident. So we analysed the biological and genetic characteristics of these viruses. Lentogenic NDVs were isolated from two farms among twenty breeder duck farms. The ages of ducks were 39 weeks old in the 'A' farm and 3~72 weeks old in the 'B' farm. And they were not inoculated with the NDVs vaccine. In the biological characteristics, the both viruses which separated from the farm 'A' and 'B' were thermostable. The amino acid sequence of a site from 112 to 119 in the fusion (F) protein was 'GKQGRLIG' which has monobasic motif in the samples of both farms. And this means the separated NDVs are lentogenic. Phylogenetic analysis was performed by entire nucleotide sequence of F protein. The virus strains from the A farm (MN095239) and the B farm (MN095240) belonged to class II genotype I. Using the analysis of whole F protein nucleic acid sequence, the MN095239 (GenBank) had homology with Ulster strain about 99.95% and the MN095239 (GenBank) had homology with KR/CK/KU_LBM255/09 strain about 99.89%. NDV surveillance is needed to investigate epidemiological relationship of domestic breeder duck isolates in Korea.

• Journal of Information Technology Applications and Management
• /
• 제25권1호
• /
• pp.19-32
• /
• 2018

Fake news is defined as the news articles that are intentionally and verifiably false, and could mislead readers. Spread of fake news may provoke anxiety, chaos, fear, or irrational decisions of the public. Thus, detecting fake news and preventing its spread has become very important issue in our society. However, due to the huge amount of fake news produced every day, it is almost impossible to identify it by a human. Under this context, researchers have tried to develop automated fake news detection method using Artificial Intelligence techniques over the past years. But, unfortunately, there have been no prior studies proposed an automated fake news detection method for Korean news. In this study, we aim to detect Korean fake news using text mining and machine learning techniques. Our proposed method consists of two steps. In the first step, the news contents to be analyzed is convert to quantified values using various text mining techniques (Topic Modeling, TF-IDF, and so on). After that, in step 2, classifiers are trained using the values produced in step 1. As the classifiers, machine learning techniques such as multiple discriminant analysis, case based reasoning, artificial neural networks, and support vector machine can be applied. To validate the effectiveness of the proposed method, we collected 200 Korean news from Seoul National University's FactCheck (http://factcheck.snu.ac.kr). which provides with detailed analysis reports from about 20 media outlets and links to source documents for each case. Using this dataset, we will identify which text features are important as well as which classifiers are effective in detecting Korean fake news.

• 한국과학교육학회지
• /
• 제13권3호
• /
• pp.341-358
• /
• 1993

In this study, the researcher analyzed relationship between stuents' science anxiety and achivement, and investigated the tendency of the science anxiety by students' variables. For the survey of this study. 5,304 stuents were sampled from the population of Korean secondary school. The researcher adopted R&D procedure for the development of SAMS(science anxiety measurement scale) and the SAT(science achivement test). The instrument SAMS consisted of 38-item scale. Cronbach a for SAMS was 0.92, concurrent validity was 0.66. SAT consist of 2O-item, the reliable coefficent of KR-20 was 0.70. The data were analyzed by using Pearson-Product coefficient and Regression analysis for the correlation between dependent and independent variable. The tendency of science anxiety were analyzed Multi-way analysis of variance, and all hypotheses were evaluated as the significant level of 0.001. Results of this study were summarized as follows : 1) The relationship between the science anxiety and the achivement showed negative correlation(r=-O.24) in all grades. 2) The relationship between the male and the female showed negative correlation (male;r=-Q.23. female=-O.22), but 11ths' humanities course and female of the science course didn't showed correlation. 3) The size of city where the school located showed negative correlation to the students anxiety(big city;-O27. medium;-O.24, small city;-O.22). 4) Tendency of students' science anxiety according to the variable of grades and sex variables was found to significant difference. The effects of interaction were found to significant difference between two variables of grade and sex. sex and local, local and grade. The effects among three variables were formed to significant difference grade, sex and local.

• 한국양식학회지
• /
• 제9권1호
• /
• pp.3-10
• /
• 1996

인간의 태반성 성선자극호르몬(HCG) 또는 성선자극호르몬-방출호르몬 유도체(GnRH-A)와 pimozide를 이용하여 산란시기의 암컷황복에서 인공 산란을 유도하였다. 호르몬 또는 호르몬유도체의 효과는 배란 후 인공수정시켜 수정율과 배체형성율 및 면역방사측정법으로 혈액의 plasma 내 성선자극호르몬(GTH) 양을 측정하여 결정하였다. 수정율과 배체형성율이 가장 좋은 HCG 농도는 어체중 kg 당 1,000 IU이었다. 또한 GnRH-A ($10\;{\mu}g/kg$)와 pimozide를 동시에 처리했을 때 수정율과 배체형성율이 좋은 pimozide의 농도는 5 mg/kg이었다. Pimozide(1, 5 mg/kg)를 단독으로 처리한 어류에서는 plasma 내 GTH양에 영향을 줄 수 없었지만, GnRH-A와 동시에 처리했을 때 GTH양은 현저히 증가되었다. GnRH-A와 pimozide 및 dopamine을 동시에 처리했을 때 혈액의 plasma 내 GTH양은 크게 감소되었다. 이상의 결과는 산란시기 또는 이시기이외에 황복의 뇌로부터 여러 가지 성선자극호르몬과 성선자극억제호르몬을 분비됨을 시사해 준다.

• 여성건강간호학회지
• /
• 제8권2호
• /
• pp.165-176
• /
• 2002

The purpose of the study was to develop a Web site for the middle-aged women and test the usability of the site. Users' need for information were identified via online survey of 189 middle-aged women. It was found that they had various health problems but very few did any health prevention or health promotion activities. A web site for the middle-aged women was developed based on the result of needs assessment. The site includes content on exercise, diet including weight control, osteoporosis, climacteric, aging, breast and cervical cancer. Besides this health information, FAQ on women's health, my health knowledge test, statistics, link to related institutes and web sites, newspaper articles/mass media clips, journal articles, conferences, papers and other educational information were added. The site was developed as a subsystem of the Healthguide(http://healthguide.kihasa.re.kr). As a way of utilizing the homepage, twenty two women aged 40-50 were recruited at a community-based gathering and health promotion education program was conducted. To test the effectiveness of the education, knowledge, attitude and behavior changes of before and after education were compared. There were significant differences of knowledge and behavior in breast cancer, cervical cancer, osteoporosis, menopause and sexual life. It is expected that Web-based women's health information will contribute to women's health promotion and provide an effective learning media for health education.

• Interdisciplinary Bio Central
• /
• 제3권2호
• /
• pp.7.1-7.6
• /
• 2011

Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

• 한국멀티미디어학회논문지
• /
• 제6권5호
• /
• pp.788-796
• /
• 2003

본 논문에서는 순차적 학습 방법에서의 동적 모멘트를 제안한다. 동적 모멘트에서의 가변적인 모멘트를 이용하여 수렴 속도와 학습 성능을 향상시키며 회귀율에서도 이를 확인할 수 있다 제안된 학습 방법은 기존의 정적모멘트와는 달리 수렴 정도에 따라 현재의 학습에 과거의 학습률을 달리 반영하는 방법이다. 기존의 정적 상수로 정의된 모멘트가 전체 학습에 동등하게 영향을 주는 반면 제안된 동적모멘트를 이용한 학습 방법은 학습 수행에 따라 동적으로 모멘트를 변경함으로써 수렴 속도와 학습 성능을 효과적으로 제어할 수 있다. 이전의 분류문제와 회귀문제의 분리확인과는 달리 본 논문에서는 제안된 동적모멘트의 성능과 회귀율을 동시에 확인한다. 본 논문에서 사용한 회귀방법은 RMS 오류율을 사용하였으며 제안된 학습방법인 동적모멘트를 SVM(Support Vector Machine)의 순차 학습방법인 KA(Kernel Adatron)과 KR(Kernel Relaxation)에 적용하여 RMS 오류율을 확인하였다. 공정한 학습 성능 평가를 위해 신경망 분류기표준평가데이터인 SONAR 데이터를 이용하였으며 실험 결과 동적모멘트를 이용한 학습 성능과 수렴 속도 및 RMS 오류율이 정적모멘트를 이용한 학습방법보다 향상되었음을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
• /
• 제11권3호
• /
• pp.45-52
• /
• 1987

Generally the factors affected largely by the cold cracking sensitivity of the weld are the quantity of the diffusible hydrogen, the brittleness and hardness of the bond area and the tensile restraint stress. These factors have relation each other, and if we can reduce one of these factors, it becomes instrumental to the root cracks prevention of weld. This study deals with the gravity type-underwater-welding of KR Grade A-3 marine steel plate using E4303 welding electrode in order to compare wet-underwater-welding with in-air- welding, resulting in obtaining the tensile restraint characteristics, the hardness distribution, the quantity of diffusible hydrogen and the macro- and micro-crack properties in both underwater and in-air welds. The main results obtained are as follows: 1) The quantity of diffusible hydrogen measured for 48 hours is about 18cc/100g-weld-metal for the in-air-weld of one pass and about 48cc/100g-weld-metal for the underwater-weld of one pass which is about 3 times penetration of diffusible hydrogen compairing with the case of the in-air-weld. However, it was experimentally confirmed that, by the multi-pass welding of 2 to 5 passes, the diffusible hydrogen in the underwater weld metal can be reduced as much as 27 to 49%. 2) The hardness of the weld metal indicates the highest value in the heat affected zones of underwater weld for more rapid cooling rate, resulting in the higher sensitivity of cold cracking. So, it is desirable to soften the higher hardness in the HAZ by tempering effect such as the multi-pass welding in the underwater welding. 3) At the bond vicinity of the underwater weld HAZ, micro cracks were found as resulted by both more rapid cooling rate and more diffusible hydrogen and also by the stress corrosion cracking under the tensile restraint stress in the underwater. But this could be prevented by the tempering effect of the following weld bead such as the multi-pass welding.