• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.269-276
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• 2019

The purpose of this study was to investigate the publication trends of children and adolescents' smoking-related researches published in Korean academic journals. Three hundred fifty papers published until 2018 were analyzed by focusing on the publication year, research participants, research themes and research methods. As a result, smoking-related research on children and adolescents increased sharply from 1995 to 2000, and the trend continued. The main research participants were general children and adolescents and the most frequently studied themes were 'Associated Factors,' 'Intervention,' 'Prevalence,' 'Prevention,' 'Characteristics,' 'Law and Policies,' 'Scales,' 'Review and Theories' respectively. The most frequently used research method was the quantitative method. Moreover, the most common data gathering method was using questionnaires, and the number of papers which used panel data was gradually increasing. Future studies were suggested to explore a broader range of themes, and a balanced research approach was also recommended using both qualitative and mixed methods.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.9-16
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• 2023

The purpose of this study is to analyze research trends on ESG (Environmental, Social, and Governance), and to present a direction for companies and investors to use ESG information. To this end, text mining, one of the atypical data mining techniques, was used for analysis. Thesis abstracts from January 2014 to February 2023 were collected from the SCOPUS database, and Economics, Econometrics and Finance were the most common. The United States and China published the most ESG papers, and Korea published the 6th most papers in the world. This study is meaningful in that it analyzed the main research trends of ESG using text mining techniques such as LDA and topic modeling. It was confirmed that ESG is being conducted in various fields, not in a specific field, and it is differentiated from previous studies in that it analyzed various influencing factors and ripple effects of ESG.

• Proceeding of EDISON Challenge
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• 2016.03a
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• pp.240-245
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• 2016

In this paper, stress contour plots depending on length, load, and diameter of the implant are presented. Depending on the condition and amount of cortical bone, process of implanting can be difficult and stress becomes important. Therefore deciding the right length and diameter of implant is critical. When analyzing stress in the implant, Von-mises yield criterion is often used; however, due to hardship of acquiring the actual material property of surrounding bones, simplified model of a implant was adapted in finite element analysis program of EDISON. The result acquired from EDISON program was then compared with results of different research papers.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.539-546
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• 2005

Recently, as the number of Internet users are growing explosively, e-learning has been applied spread, as well as remote evaluation of intellectual capacity However, only the multiple choice and/or the objective tests have been applied to the e-learning, because of difficulty of natural language processing. For the intelligent marking of short-essay typed answer papers with rapidness and fairness, this work utilize heterogenous linguistic knowledges. Firstly, we construct the semantic kernel from un tagged corpus. Then the answer papers of students and instructors are transformed into the vector form. Finally, we evaluate the similarity between the papers by using the semantic kernel and decide whether the answer paper is correct or not, based on the similarity values. For the construction of the semantic kernel, we used latent semantic analysis based on the vector space model. Further we try to reduce the problem of information shortage, by integrating Korean Word Net. For the construction of the semantic kernel we collected 38,727 newspaper articles and extracted 75,175 indexed terms. In the experiment, about 0.894 correlation coefficient value, between the marking results from this system and the human instructors, was acquired.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.3
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• pp.308-319
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• 2015

Purpose: The purpose of this study was to identify the effects size of simulation education targeting korean nurses and nursing students. Methods: Meta-analysis was conducted with 48 papers in domestic master and doctorate degree dissertations and academic journals from 2000 to 2014. Results: The entire effect size in simulation education was relevant to big effect size. Regarding the effect size of individual variables, nurse was identified to have biggest effect size in study subject, standardized patient was identified to have biggest effect size in simulation methods and pediatric nursing was identified to have biggest effect size in study subjects. Effect size in each effect variable was highest in psychomotor domain. Conclusion: This study identified the effect size of simulation education and provided the basic data to contribute to the quality improvement of simulation education which is based on the reasons.

• Steel and Composite Structures
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• v.39 no.5
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• pp.565-581
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• 2021

In this paper the buckling analysis of the nanoplate made of arbitrary bi-directional functionally graded (BDFG) materials with small scale effects are investigated. To study the small-scale effects on buckling load, the Eringen's nonlocal theory is applied. Employing the principle of minimum potential energy, the governing equations are obtained. Generalize differential quadrature method (GDQM) is used to solve the governing equations for various boundary conditions to obtain the buckling load of BDFG nanoplates. These models can degenerate into the classical models if the material length scale parameter is taken to be zero. Comparison between the results of GDQ method and other papers for buckling analysis of a simply supported rectangular nano FGM plate reveals the accuracy of GDQ method. At the end some numerical results are presented to study the effects of material length scale parameter, plate thickness, aspect ratio, Poisson's ratio boundary condition and side to thickness ratio on size dependent Frequency.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.369-399
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• 2012

Purpose: Health technology research & development is an important area to leading future. This study examined the current trends for 'oncogene' based on the research subject network to deduce a research front. Method: Papers were extracted from PubMed database using MeSH term for studies on 'oncogenes' and further categorized as papers published by Korean. Keywords were collected from all of articles. Research subject network was generated by keywords. Research subject network was analyzed by weighted degree centrality based social network analysis and transition of research subjects was analyzed by the time series. Results: On 'oncogenes', 'Genes, ras', 'Apoptosis', 'Signal Transduction' had a high degree centrality and currently 'Antineoplastic Agents', 'Prognosis', and 'Tumor Markers, Biological' were widely conducted. Conclusion: Consistency of research trend pattern was found by analyzing oncogene network with compromised to international vs. domestic trends. Analyzing keyword networks in various subject area, those will allow us to predict the research progress and propose evidence of research & developmental strategy.

• Asia Pacific Journal of Business Review
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• v.1 no.2
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• pp.63-88
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• 2017

With the advent of new frontiers in robotics, the spectrum of robot research area has widened in many fields and applications. Other than conventional robot research, many technologies such as smart devices, drones, healthcare robots, and soft robots are emerging as promising applications. Due to the research complexity of this topic, this research requires international collaboration and should be fertilized by R&D policies. This paper aims to propose a method to perform a cross-national analysis of robot research with unstructured data such as papers in the proceedings of an international conference. Text analytics are applied to extract research issues and applications in an automatic manner.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.3
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• pp.99-106
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• 2011

The purpose of this paper is to examine their degree of housing satisfaction in Gyeongju, focused on indoor environment of urban traditional houses. Mostly built during time period from 1930's to 1980's in Seoak-dong, Bomun-dong, Namsan-dong, Sajeong-dong, and Hwangnam-dong, Gyeongju' Hanok reveals the evolutionary development to fit into the urban settlement. Urban traditional house has important meaning as a type of residence maintaining tradition of Korean residential culture, and it is the study's first goal to derive developable element by analyzing the characteristics of urban traditional house focusing on such a feature. Residents in 5 districts in Gyeongju were classified and the self-administered questionnaires were provided to them. 187 papers were used for final analysis. The data for general trend of satisfaction was seek for after its average and standard variation were calculated.