• International Journal of Knowledge Content Development & Technology
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• 제7권3호
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• pp.5-27
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• 2017

Retrieval of scholarly articles about a specific research issue is a routine job of researchers to cross-validate the evidence about the issue. Two articles that focus on a research issue should share similar terms in their core contents, including their goals, backgrounds, and conclusions. In this paper, we present a technique CCSE ($\underline{C}ore$ $\underline{C}ontent$ $\underline{S}imilarity$ $\underline{E}stimation$) that, given an article a, recommends those articles that share similar core content terms with a. CCSE works on titles and abstracts of articles, which are publicly available. It estimates and integrates three kinds of similarity: goal similarity, background similarity, and conclusion similarity. Empirical evaluation shows that CCSE performs significantly better than several state-of-the-art techniques in recommending those biomedical articles that are judged (by domain experts) to be the ones whose core contents focus on the same research issues. CCSE works for those articles that present research background followed by main results and discussion, and hence it may be used to support the identification of the closely related evidence already published in these articles, even when only titles and abstracts of the articles are available.

• Transactions on Electrical and Electronic Materials
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• 제15권1호
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• pp.7-11
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• 2014

The Polarization and Depolarization Current (PDC) measurement is an efficient and effective diagnostic technique based on time domain measurement, for evaluating the high voltage insulation condition. This paper presents a review and comparison results from several published papers on the application of the PDC method to finding the conductivity and moisture content of various types of insulators. For solid insulation, the study was focused on cable insulation, electric machine stator insulation, and paper insulator in transformer insulation with different conditions. For liquid insulation, the review and comparison was done on biodegradable and mineral transformer oils, with fresh oil condition, and aged condition. The results from previous researchers tests were complied, analyzed and discussed, to evaluate the application of the PDC method to monitor the conductivity and moisture of HV equipment insulation systems. From the review results, the PDC technique successfully gives an indication of the conductivity and moisture level of high voltage insulation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1166-1186
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• 2022

Artistic font design has become an integral part of visual media. However, without prior knowledge of the font domain, it is difficult to create distinct font styles. When the number of characters is limited, this task becomes easier (e.g., only Latin characters). However, designing CJK (Chinese, Japanese, and Korean) characters presents a challenge due to the large number of character sets and complexity of the glyph components in these languages. Numerous studies have been conducted on automating the font design process using generative adversarial networks (GANs). Existing methods rely heavily on reference fonts and perform font style conversions between different fonts. Additionally, rather than capturing style information for a target font via multiple style images, most methods do so via a single font image. In this paper, we propose a network architecture for generating multilingual font sets that makes use of geometric structures as content. Additionally, to acquire sufficient style information, we employ multiple style images belonging to a single font style simultaneously to extract global font style-specific information. By utilizing the geometric structural information of content and a few stylized images, our model can generate an entire font set while maintaining the style. Extensive experiments were conducted to demonstrate the proposed model's superiority over several baseline methods. Additionally, we conducted ablation studies to validate our proposed network architecture.

• 한국수자원학회논문집
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• 제31권2호
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• pp.123-132
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• 1998

비포화대에서의 지하수 오염원의 이송을 관측하는 것은 매우 어려운 거승로 알려져 있다. 본 연구에서는 함수량과 농도가 다른 시료를 이용하여 비포화 용존 오염원의 농도를 측정하기 위한 TDR의 적용가능성에 대한 검정실험을 수행하였다. 초기전자기파에 대한 TDR반향파의 감쇄정도를 이용하여 토양의 총전기전도도를 측정하게 되는데 이때 함수량이 일정할 경우 총전기전도도와 토양수의 농도관계는 선형관계를 유지한다는 가정을 기본으로한다. 본 연구에서는 세가지의 농도와 체적함수량을 갖는 시료를 성형하고 이때의 TDR 반향곡선을 측정하여 Dalton 등(1984), Topp 등(1988), Yanuka 등(1988), Zegelin 등 (1989)이 제안한 추정식으로 통초양전기전도도를 구하였다. 실험결과 Zegelin등이 제안한 식을 제외한 세 가지 식들은 매우 좋은 토양수의 농도와 총전기전도도의 선형관계를 나타내었다. 따라서 이 세가지 추정식들은 용존 오염원의 농도를 추정함에 있어 매우 유용한 식으로 판단되며 이 추정식들을 이용하는 TDR 비포화 용존 오염원 측정법은 실내실험과 현장실험에 있어 매우 유용하리라 판단된다.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제26권3호
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• pp.317-338
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• 2012

본 연구는 교사들이 생각하는 좋은 수학 수업을 알아보기 위해 4개의 대영역(교육과정과 교육내용, 교수 학습, 교실환경 및 수업 분위기, 평가)과 48개 하위 요소로 구성된 설문지를 이용하여 초등학교 교사 223명과 중학교 수학 교사 151명의 반응을 비교 분석하였다. 분석 결과 초등 교사는 대영역 중 교육과정과 교육내용 영역을, 중등 교사는 교수 학습 영역을 가장 중요하게 생각하였다. 세부 요소 별로 살펴보면, 초 중등 교사는 공통적으로 자기주도적 학습 능력을 신장시키는 수업, 학생 수준에 맞게 교육과정을 재구성하여 실시한 수업, 학생과 교사간의 상호작용이 잘 이루어지는 수업 등을 좋은 수학 수업이라고 생각하였다. 그러나 초등 교사는 좋은 수학 수업과 관련된 23개 요소에 대해서 중등 교사보다 더 중요하다고 인식하였으며, 중등 교사는 수학적 표현 능력을 신장시키는 수업, 동기 유발이 잘 이루어지는 수업의 2개 요소에 대해서만 초등 교사보다 유의미하게 더 중요하다고 인식하였다. 이러한 연구 결과를 토대로 우리나라 본연의 좋은 수학 수업에 대한 교사의 인식 및 이에 따른 시사점을 논의하였다.

• 대한수학교육학회지:수학교육학연구
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• 제14권1호
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• pp.71-88
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• 2004

본 연구의 목적은 대학수학능력시험에서 출제되는 수리 영역의 문항에 대한 난이도를 결정짓는 변인을 탐색하고, 난이도를 측정할 수 있는 구체적인 검토도구를 개발하는 것이다. 이를 위해 문헌 분석과 기출 수능 문항에 대한 내용 및 난이도 분석을 시도하였다. 여기서 추출된 변인을 토대로 1차 검토도구를 만들고 오답률과 추출된 변인들 사이의 상관분석을 시도하여 상관도가 비교적 낮은 변인은 삭제하거나 수정 보완하여 2차 검토도구를 만들었다. 2차 검토도구를 이용하여 여러 가지 예측 모형을 개발하고, 각 모형에 대하여 회귀계수를 비교하고, 교차타당도를 분석한 결과 안정성과 정확성이 가장 높은 최적의 예측모형은 '통합 회귀방정식 모형'으로 나타났다. 또한 통합 회귀방정식 모형을 토대로 분석하였을 때 오답률에 대한 설명력은 답지의 형식, 내용 영역, 행동 영역, 문항의 생소성 등의 순으로 나타났다. 본 연구는 난이도 관련 변인에 대한 연구가 전무한 상태에서 이루어졌기 때문에 많은 한계가 있으며 추후에 난이도를 보다 정확하게 추정할 수 있는 연구 방법이 기대 된다.

• 한국멀티미디어학회논문지
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• 제5권4호
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• pp.415-425
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• 2002

본 논문에서는 웨이브릿 변환 영역에서 추출된 특징을 기반으로 한 내용기반 영상검색 방법에 관해 연구하였다. 기존의 웨이브릿 기반의 방법에서의 문제점인 특징벡터의 크기를 줄이기 위해 웨이브릿 계수의 영역별 에너지 값을 이용하였으며, 대상물의 이동, 회전, 크기 변화에 영향을 받지 않는 모멘트 특성을 이용한 검색방법을 제안하였다. 본 방법은 특징벡터의 크기를 줄이고, 기존의 특징벡터와 비교해서 검색시간을 단축하면서 분류검색의 효율성을 향상시켰다. 영역기반 영상검색 기능을 제공하기 위해 영상분할 방법에 대해 연구하였으며, 불규칙한 광원에 의한 영향을 최소화할 수 있는 영상분할 방법을 제안하였다 영상분할은 영역병합을 이용하였고, 병합후보영역은 웨이브릿 변환의 고주파 대역 에너지 값을 이용하여 선정하였다 분할된 영역정보를 이용하여 칼라와 질감, 모양 특징벡터를 구성하여 영역기반 영상검색을 수행하였다.

• Journal of Information Science Theory and Practice
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• 제9권2호
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• pp.66-82
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• 2021

Recommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based on their interests and preferences. The more recent technology, Linked Open Data (LOD), has been introduced, and a vast amount of Resource Description Framework data have been published in freely accessible datasets. These datasets are connected to form the so-called LOD cloud. The need for semantic data representation has been identified as one of the next challenges in Recommender Systems. In a LOD-enabled recommendation framework where domain awareness plays a key role, the semantic information provided in the LOD can be exploited. However, dealing with a big chunk of the data from the LOD cloud and its integration with any domain datasets remains a challenge due to various issues, such as resource constraints and broken links. This paper presents the challenges of interconnecting and extracting the DBpedia data with the MovieLens 1 Million dataset. This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis. Based on the challenges, we proposed a few alternatives and solutions to some of the challenges.

• 지역사회간호학회지
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• 제32권4호
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• pp.555-565
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• 2021

Purpose: This study was conducted to develop the contents of disaster nursing education in community health nursing at universities. Methods: To validate contents, the Delphi method was used. We categorized two domains(indirect disaster management and direct disaster management) and developed 48 draft items. This study applied two round surveys and 23 experts participated in this study. The content validity was calculated using content validity ratio and coefficient of variation. Results: Indirect disaster management domain was composed of three categories including 12 items: 1) Understanding of the disaster, 2) disaster management system, and 3) response by disaster stage and recovery. Direct disaster management domain was composed of nine categories including 30 items: 1) Ethical considerations, 2) communication in disasters, 3) nursing activity by disaster stage, 4) emergency nursing in disasters, 5) patient severity classification in disasters, 6) disaster nursing for vulnerable groups, 7) disaster nursing for victims, 8) psychosocial nursing and health in disasters, and 9) cases of disaster nursing in communities. Conclusion: This Delphi study identified the contents of disaster nursing education curriculum, and confirmed the validity for disaster education program in community health nursing. Based on the results, it will be helpful for training the disaster nursing and improving the competency on disaster nursing of the nursing students.

• Computers and Concrete
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• 제31권4호
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• pp.293-306
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• 2023

This study proposes and demonstrates a smart monitoring system that uses transmission lines embedded in a reinforced concrete structure to detect the presence of defects through changes in the electromagnetic waves generated and measured by a time-domain reflectometer. Laboratory experiments were first conducted to identify the presence of voids in steel-concrete composite columns. The results indicated that voids in the concrete caused a positive signal reflection, and the amplitude of this signal decreased as the water content of the soil in the void increased. Multiple voids resulted in a decrease in the amplitude of the signal reflected at each void, effectively identifying their presence despite amplitude reduction. Furthermore, the electromagnetic wave velocity increased when voids were present, decreased as the water content of the soil in the voids increased, and increased with the water-cement ratio and curing time. Field experiments were then conducted using bored piles with on-center (sound) and off-center (defective) steel-reinforcement cage alignments. The results indicated that the signal amplitude in the defective pile section, where the off-center cage was poorly covered with concrete, was greater than that in the pile sections where the cage was completely covered with concrete. The crosshole sonic logging results for the same defective bored pile failed to identify an off-center cage alignment defect. Therefore, this study demonstrates that electromagnetic waves can be a useful tool for monitoring the health and integrity of reinforced concrete structures.