• Progress in Superconductivity and Cryogenics
• /
• v.20 no.4
• /
• pp.46-49
• /
• 2018

To improve in-field critical current densities ($J_c$) of $GdBa_2Cu_3O_{7-{\delta}}$ (GdBCO) coated conductors(CCs) fabricated by the reactive co-evaporation by deposition and reaction (RCE-DR) process, employing the nominal composition of Gd:Ba:Cu=1:1:2.5, we tried to refine the $Gd_2O_3$ particles trapped in the GdBCO superconducting matrix. For this purpose, we carefully selected the processing conditions on the stability phase diagram of GdBCO for this composition. By lowering the growth temperature of $Gd_2O_3$ in the liquid, we could refine the average particle size of $Gd_2O_3$ particles trapped in the GdBCO matrix and also achieve the zero-resistive transition temperatures ($T_{c,zero}$) of 92.3~94.2 K. Unfortunately, however, it was unsuccessful to achieve enhanced in-field $J_c$ values from these samples because of an air-contamination of the amorphous precursor film before its conversion into crystalline GdBCO film, suggesting that any exposure of the amorphous precursor film to air is fatal in obtaining high performance GdBCO CCs via the RCE-DR process.

• Annual Conference on Human and Language Technology
• /
• 2023.10a
• /
• pp.648-653
• /
• 2023

관계 추출 태스크는 주어진 텍스트로부터 두 개체 간의 적절한 관계를 추론하는 작업이며, 지식 베이스 구축 및 질의응답과 같은 응용 태스크의 기반이 된다. 최근 자연어처리 분야 전반에서 생성형 거대 언어모델의 내재 지식을 활용하여 뛰어난 성능을 성취하면서, 대표적인 정보 추출 태스크인 관계 추출에서 역시 이를 적극적으로 활용 가능한 방안에 대한 탐구가 필요하다. 특히, 실 세계의 추론 환경과의 유사성에서 기인하는 저자원 특히, 제로샷 환경에서의 관계 추출 연구의 중요성에 기반하여, 효과적인 프롬프팅 기법의 적용이 유의미함을 많은 기존 연구에서 증명해왔다. 따라서, 본 연구는 한국어 관계 추출 분야에서 거대 언어모델에 다각적인 프롬프팅 기법을 활용하여 제로샷 환경에서의 추론에 관한 비교 연구를 진행함으로써, 추후 한국어 관계 추출을 위한 최적의 거대 언어모델 프롬프팅 기법 심화 연구의 기반을 제공하고자 한다. 특히, 상식 추론 등의 도전적인 타 태스크에서 큰 성능 개선을 보인 사고의 연쇄(Chain-of-Thought) 및 자가 개선(Self-Refine)을 포함한 세 가지 프롬프팅 기법을 한국어 관계 추출에 도입하여 양적/질적으로 비교 분석을 제공한다. 실험 결과에 따르면, 사고의 연쇄 및 자가 개선 기법 보다 일반적인 태스크 지시 등이 포함된 프롬프팅이 정량적으로 가장 좋은 제로샷 성능을 보인다. 그러나, 이는 두 방법의 한계를 지적하는 것이 아닌, 한국어 관계 추출 태스크에의 최적화의 필요성을 암시한다고 해석 가능하며, 추후 이러한 방법론들을 발전시키는 여러 실험적 연구에 의해 개선될 것으로 판단된다.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.18 no.6
• /
• pp.267-275
• /
• 2023

This paper presents the development of specialized software for annotating volume-of-interest on ¹⁸F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within ¹⁸F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding ¹⁸F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with ¹⁸F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.

• The International Journal of Costume Culture
• /
• v.8 no.1
• /
• pp.51-60
• /
• 2005

The goals of this study were to refine conceptualization of clothing involvement and fashion involvement and develop a distinction between the two construct. A questionnaire was developed for an empirical study. A total of 669 female consumers participated in the study. Results indicated that respondents were able to be segmented into four groups based on clothing involvement and fashion involvement. Consumers who were highly involved in both clothing product and fashion were likely to be young and not married. Consumers who were involved in clothing were likely to seek quality than consumers who were involved in fashion. Interest in brands was more related to fashion involvement rather than clothing involvement.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.11a
• /
• pp.973-975
• /
• 2005

With the continuous growth of e-commerce there is a huge amount of products information available online. Shop managers expect to apply information techniques to increase profit and perfect service. Hence many e-commerce systems use association rule mining to further refine their management. However previous association rule algorithms have two limitations. Firstly, they only use the number to weight item's essentiality and ignore essentiality of item profit. Secondly, they did not consider the relationship between number and profit of item when they do mining. We address a novel algorithm, profit-based association rule algorithm that uses profit-based technique to generate 1-itemsets and the multiple minimum supports mining technique to generate N-items large itemsets.

• Physical Therapy Korea
• /
• v.12 no.4
• /
• pp.20-25
• /
• 2005

The Gross Motor Function Measure (GMFM) is an internationally widely used outcome measure. The aim of this study was to evaluate the structural properties of the Korean version of GMFM using the Rasch Model, with regard to scoring within rehabilitation centers in Korea. GMFM data for 206 children with cerebral palsy were collected from 11 outpatient rehabilitation facilities by 29 pediatric therapists. The Winsteps software was used to refine the rating scale. This study suggests that the scoring categories of the Korean version of the GMFM should be collapsed from 0 (subject does not initiate task), 1 (subject initiates task), 2 (subject partially completes task), 3 (subject completes task) to 0 (subject does not initiate task), 1 (subject initiates or partially completes task), 2 (subject completes task) for better accuracy in estimating the gross motor function of children with cerebral palsy.

• Asian-Australasian Journal of Animal Sciences
• /
• v.14 no.3
• /
• pp.414-422
• /
• 2001

Antibiotic resistance in human pathogens is a major public health issue. Some of the resistance problem can be attributed to the transfer of resistant bacteria from animals to people and the transfer of resistance genes from animal pathogens and commensal bacteria to human pathogens. Control measures include improvements in food hygiene to reduce the spread of zoonotic bacteria to people via the food chain. However, to specifically address the issue, the medical profession must control misuse and overuse of antibiotics in hospitals and community practice. In addition, the livestock industries and their advisors must reduce and refine the use of antibiotics in animal production and replace antibiotics with alternative disease control measures as much as possible.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.3
• /
• pp.145-153
• /
• 2013

Multimedia contents' searching methods in existing mobile computer environment tend to be brought with many over heads when attempting to search data in large bulks. The MINT system has been studied to resolve such problem. However, MINT system delivers many over heads by searching multimedia contents through applying B-Tree. The suggested method is said to be CST-MCR searching system based on CST-Tree. The specific characteristic of this method is improved MINT system by applying CST-Tree's index. The result of capacity evaluation came out with improved capacity of 4.27% from MINT system and CST-MCR methods in average. Conclusively, it has been proven that the suggested method is superior.

• Korean Journal of Child Studies
• /
• v.38 no.1
• /
• pp.63-76
• /
• 2017

Objective: The aim of this study was to examine the meanings of onomatopoeia and mimetic words contextually used contextually when children play together. Methods: The participants included 40 children (ages 3-5 years) attending "M Daycare Center" in Seoul and "S Daycare Center" in Seongnam (a city in Gyeonggi-do). Twenty rounds of play observations were conducted at the centers. Once per week from May to October 2015. Results: The onomatopoeia and mimetic words observed were primarily relate to physical movements, sounds, and shapes. These types relate to Max van Manen's life-world existentials, correlating with spatiality, corporeality, and relationality. The characteristics of onomatopoeic and mimetic words used were additive and were used by the children to refine and diversify their language skills and enrich their linguistic imaginations. Conclusion: Onomatopoeic and mimetic words help children design their own play situations based on their creativity and help them share the play with their peers.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2005.04a
• /
• pp.217-224
• /
• 2005

A higher order zig-zag shell theory is developed to refine the predictions of the mechanical and thermal behaviors partially coupled. The in-plane displacement fields are constructed by superimposing linear zig-zag field to the smooth globally cubic varying field through the thickness. Smooth parabolic distribution through the thickness is assumed in the out-of-plane displacement in order to consider transverse normal deformation and stress. The layer-dependent degrees of freedom of displacement fields are expressed in terms of reference primary degrees of freedom by applying interface continuity conditions as well as bounding surface conditions of transverse shear stresses. Thus the proposed theory has only seven primary unknowns and they do not depend upon the number of layers. In the description of geometry and deformation of shell surface, all rigorous exact expressions are used. Through the numerical examples of partially coupled analysis, the accuracy and efficiency of the present theory are demonstrated. The present theory is suitable in the predictions of deformation and stresses of thick composite shell under mechanical and thermal loads combined.