• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2002년도 추계학술대회
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• pp.289-312
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• 2002

This study suggests the Link weight analysis approach to choose input variables and an integrated model to make more accurate bankruptcy prediction model. the Link weight analysis approach is a method to choose input variables to analyze each input node's link weight which is the absolute value of link weight between an input nodes and a hidden layer. There are the weak-linked neurons elimination method, the strong-linked neurons selection method in the link weight analysis approach. The Integrated Model is a combined type adapting Bagging method that uses the average value of the four models, the optimal weak-linked-neurons elimination method, optimal strong-linked neurons selection method, decision-making tree model, and MDA. As a result, the methods suggested in this study - the optimal strong-linked neurons selection method, the optimal weak-linked neurons elimination method, and the integrated model - show much higher accuracy than MDA and decision making tree model. Especially the integrated model shows much higher accuracy than MDA and decision making tree model and shows slightly higher accuracy than the optimal weak-linked neurons elimination method and the optimal strong-linked neurons selection method.

• 한국간호교육학회지
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• 제28권3호
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• pp.223-235
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• 2022

Purpose: This study aimed to explore nursing students' experience with community-linked nursing education programs. Methods: This study utilized a qualitative content analysis. Participants were 55 sophomore nursing students. The community-linked nursing education program was conducted for eight weeks using the Analysis, Design, Development, Implementation, Evolution (ADDIE) model. Data were collected from 55 reflection records and five individual interviews and then analyzed through the three steps of qualitative content analysis, coding, condensing, and categorizing. Results: Twelve categories, 26 subcategories, and six topics emerged. The themes of impression and lesson from the community-linked nursing education programs were "recognizing the importance of professional competence in performing the role of nurse," "recognizing the need for leadership and cooperation in nursing practice," and "increased awareness of the role as a nursing professional for community residents." The themes of the strategies used were "looking at the goal and moving forward," and "aligning differences and working together with team/community members." The theme of strategies for the advancement of community-linked nursing education programs was "establishing a sustainable student-participating community-linked education program." Conclusion: The community-linked nursing education programs made students aware of the necessary competencies as professionals. In particular, they gave them hope for their role as professional nurses in the community. It could also be seen that they developed the ability to engage in team activities for community activities. Community-linked nursing education programs will need to be developed into continuous programs with community residents.

• 한국해양공학회지
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• 제37권6호
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• pp.273-281
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• 2023

Recently, offshore structures for eco-friendly energy, such as wind and solar power, have been developed to address the problem of insufficient land space; in the case of energy generation, they are designed on a considerable scale. Therefore, the scalability of offshore structures is crucial. The Korea Research Institute of Ships & Ocean Engineering (KRISO) developed multi-linked floating offshore structures composed of floating bodies and connection beams for floating photovoltaic systems. Large-scale floating photovoltaic systems are mainly designed in a manner that expands through the connection between modules and demonstrates a difference in structural response with connection conditions. A fluid-structure coupled analysis was performed for the multi-linked floating offshore structures. First, the wave load acting on the multi-linked offshore floating structures was calculated through wave load analysis for various wave load conditions. The response amplitude operators (RAOs) for the motions and structural response of the unit structure were calculated by performing finite element analysis. The effects of connection conditions were analyzed through comparative studies of RAOs and the response's maximum magnitude and occurrence location. Hence, comparing the cases of a hinge connection affecting heave and pitch motions and a fixed connection, the maximum bending stress of the structure decreased by approximately 2.5 times, while the mooring tension increased by approximately 20%, confirmed to be the largest change in bending stress and mooring tension compared to fixed connection. Therefore, the change in structural response according to connection condition makes it possible to design a higher structural safety of the structural member through the hinge connection in the construction of a large-scale multi-linked floating offshore structure for large-scale photovoltaic systems in which some unit structures are connected. However, considering the tension of the mooring line increases, a safety evaluation of the mooring line must be performed.

• 분석과학
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• 제27권1호
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• pp.27-33
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• 2014

This study described about preparation of the cross-linked silk fibroin (SF) film by ${\gamma}$-irradiation of the casted SF film, which is fabricated from aqueous solution regenerated via fibers of cocoons and their application as supports for human cell culture. The properties of cross-linked SF film were evaluated by FT-IR spectroscopy, contact angle, solubility to water, thermal analysis, surface area analyzer, and morphology via scanning electron microscopy (SEM). The cross-linked SF films were not dissolved in water and exhibited the rough surface morphology, large surface area, and good thermal properties. The human fibroblast cell (CCD-986sk) and embryo kidney-ft cell were well growed on the surface of cross-linked SF film supports prepared by ${\gamma}$-irradiation. The cross-linked SF film prepared by ${\gamma}$-irradiation can be used as biomaterials for human cell culture.

• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 2014년도 제21회 학술대회 논문집
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• pp.109-114
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• 2014

Linked Data는 서로 분리돼 있는 데이터를 HTTP와 SPARQL을 이용하여 한 번에 질의하는 것이 가능하다. 많은 공공정보들이 여러가지 형식으로 공개되고 있지만 데이터의 재사용성을 높이고 공개된 다른 데이터들과의 활용도를 높이기 위해 Linked Open Data (LOD)로 발행되고 있다. 국내 LOD 중 국가서지 Linked Data와 RISS Linked Data를 중심으로 발행현황을 살펴보고 LOD 발행 후 외부자원과의 연결을 시도한 활용서비스에 대하여 점검하고 활용방안에 대해 고찰하였다. LOD 발행에 있어 SKOS, FOAF, DC 등과 같은 국제 표준용어집을 사용하여 연계 용이성을 확보하고 LOD 연계에 대한 실질적 활용과 운용경험을 공유할 수 있는 플랫폼의 중요성을 제안하였다. 또한 국내외 LOD 플랫폼을 통해 홍보 및 네트워크를 구성하는 노력과 기술적인 운용에 대한 가이드의 필요성을 제안하였다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1999년도 추계학술대회 논문집
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• pp.516-519
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• 1999

XLPE (Cross-Linked Polyethylene) which has good electric and physical characteristic is ideal material for Insulating material with force high volumetric resistance arid high dielectric constant. We study abort electric characteristics of XLPE by DCP and TMPTA content ration. DCP (Dicumylperoxide), which was used cross-linked agent contest, was changed from 1.0 to 0.5phr. TMPTA (Trimethyl-olpropane), which was used co cross-linked agent content, was changed from 0.5 to 1.5phr. Thermal analysis by DSC in order to observe tendency of Tg according to DCP and TMPTA content. Specimen 3 that content DCP 2.0phr and TMPTA 0.5phr has the highest value Breakdown strength cf specimen 3 (DCP 2.Ophr, TMPTA 1.0phr) is the highest, value and it increased in specific inductive capacity. This due to difference from cross-linked state by DCP and TMPTA content ratio.

• 한국콘텐츠학회논문지
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• 제20권10호
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• pp.679-687
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• 2020

본 연구의 목적은 BNC 어휘목록과 2015 교육부 기본 어휘를 중심으로 EBS 연계교재와 대학 수능시험의 어휘를 분석하고자 한다. 어휘점유율과 빈도를 분석하기 위해서 AntWordProfiler 어휘 분석프로그램이 사용되었다. 결과를 보면, 2020 EBS 수능 영어 듣기와 읽기 연계 교재는 각각 BNC 3,000 단어와 4,000 단어를 가지고 약 95%를 이해할 수 있다는 것을 보여준다. 그러나 EBS 듣기와 읽기 교재의 98%의 단어를 이해하기 위해서는 각각 4,000과 8,000 단어가 필요하다는 것을 알 수 있다. 다른 한편으로 2020 수능영어시험 듣기와 읽기의 95%를 이해하기위해서는 각각 2,000과 4,000 단어가 요구되며, 98%의 경우에는 추가적으로 4,000과 7,000의 단어가 필요하다. 결과적으로 EBS 연계교재가 대입수능영어시험보다 더 많은 어휘의 양을 요구한다는 것을 알 수 있다.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.57-68
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• 2017

The Linked Open Data(LOD) cloud is quickly becoming one of the largest collections of interlinked datasets and the de facto standard for publishing, sharing and connecting pieces of data on the Web. Data publishers from diverse domains publish their data using Resource Description Framework(RDF) data model and provide SPARQL endpoints to enable querying their data, which enables creating a global, distributed and interconnected dataspace on the LOD cloud. Although it is possible to extract structured data as query results by using SPARQL, users have very poor in analysis and visualization of RDF data from SPARQL query results. Therefore, to tackle this issue, based on Formal Concept Analysis, we propose a novel approach for analyzing and visualizing useful information from the LOD cloud. The RDF data analysis and visualization technique proposed in this paper can be utilized in the field of semantic web data mining by extracting and analyzing the information and knowledge inherent in LOD and supporting classification and visualization.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.223-229
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• 2022

LinkedIn is one of the most job hunting and career-growing applications in the world. There are a lot of opportunities and jobs available on LinkedIn. According to statistics, LinkedIn has 738M+ members. 14M+ open jobs on LinkedIn and 55M+ Companies listed on this mega-connected application. A lot of vacancies are available daily. LinkedIn data has been used for the research work carried out in this paper. This in turn can significantly tackle the challenges faced by LinkedIn and other job posting applications to improve the levels of jobs available in the industry. This research introduces Text Processing in natural language processing on datasets of LinkedIn which aims to find out the jobs that appear most in a month or/and year. Therefore, the large data became renewed into the required or needful source. This study thus uses Multinomial Naïve Bayes and Linear Support Vector Machine learning algorithms for text classification and developed a trained multilingual dataset. The results indicate the most needed job vacancies in any field. This will help students, job seekers, and entrepreneurs with their career decisions

• Animal cells and systems
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• 제12권4호
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• pp.261-267
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• 2008

The human chromosomes 2, 7, 12 and 17 show genomic homology around Hox gene clusters, is taken as evidence that these paralogous gene families might have arisen from a ancestral chromosomal segment through genome duplication events. We have examined protein data from vertebrate and invertebrate genomes to analyze the phylogenetic history of multi-gene families with three or more of their representatives linked to human Hox clusters. Topology comparison based upon statistical significance and information of chromosome location for these genes examined have revealed many of linked genes coduplicated with Hox gene clusters. Most linked genes to Hox clusters share the same evolutionary history and are duplicated in concert with each other. We conclude that gene families linked to Hox clusters may be suggestion of ancient genome duplications.