• Journal of Digital Convergence
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• v.19 no.11
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• pp.1-10
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• 2021

This paper aimed to look at the awareness of foreign workers in social platforms by using text mining, one of the big data techniques and draw suggestions for foreign workers. To achieve this purpose, data collection was conducted with search keyword 'Foreign Worker' from Jan. 1, to Dec. 31, 2020, and frequency analysis, TF-IDF analysis, and degree centrality analysis and 100 parent keywords were drawn for comparison. Furthermore, Ucinet6.0 and Netdraw were used to analyze semantic networks, and through CONCOR analysis, data were clustered into the following eight groups: foreigner policy issue, regional community issue, business owner's perspective issue, employment issue, working environment issue, legal issue, immigration issue, and human rights issue. Based on such analyzed results, it identified national awareness of foreign workers and main issues and provided the basic data on policy proposals for foreign workers and related researches.

• Special Issue of the Society of Naval Architects of Korea
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• 2013.12a
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• pp.55-59
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• 2013

Transverse vibrations of ship's aft end and deckhouse among the various modes of hull structures are induced mainly by transverse exciting forces and moments of main engine such as ${\times}$ and h-moment. Avoidance of resonance should be made in a intial design stage in case there is a prediction for resonance between main engine and transverse modes of deckhouse. This study shows a case of change in type of main engine from 12 cylinders to 10 without modification of hull structures in engine room requested by a shipowner of 8,600 TEU class container carrier and proposes a guide to the effective ways of structural arrangement for avoiding resonance between transverse exciting force and surrounding structures of main engine in engine room through case studies.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.195-196
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• 2014

This paper provides emerging technology issue and institutes of LED fusion industry based on the efficient quantitative analysis of a large amount of newspaper articles and papers for the decision-making of new business planning and core strategy. In addition, market opportunities and market entering strategies of main LED fusion industries are proposed. In the future, it is required to analyze and complement the quantitative analysis result by LED fusion industry experts and to build emerging issue database.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• Proceedings of the Korea Concrete Institute Conference
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• 2000.10a
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• pp.121-126
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• 2000

The attaching method of different types of structure and explanation of stress transfer mechanism are at important issue as beam having definitive factor such as the anchorage of RC main bar, the stress transfer of anchorage-end S member, RC member-anchorage, anchorage-end S member in the composite beam of S and RC member. In this study, the structural properties of composite beam according to attaching method of main bar about end RC-middle S beam were investigated in order to use them as fundamental data for the development of composite structure member. Throughout a series of study, it was shown that the proof stress of main bar - flange welding specimen is the highest and there is no difference between the deformation-properties according to attaching method of main bar.

• Hwankyungkyoyuk
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• v.19 no.3
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• pp.80-92
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• 2006

The purpose of this study was to make valuable suggestions for improving environmental education(EE) teaching materials. For the purpose of this study, we analyzed four secondary school EE textbooks in the perspective of environmental literacy components. The findings of this study are as follows: (1) As a whole, the EE textbooks tend to focus the understanding environmental knowledge much more than environmental activities. (2) In 'main text' domain of EE textbooks, environmental information, including environmental issue knowledge, is much more focused than environmental attitudes and behavior, including socio-political and environmental issue knowledge. (3) In 'graphic data' domain, environmental information about environmental issue knowledge was most prevalent. (4) Most learning activities focus on 'issue skill' component, rather than 'attitude' and 'action' component. (5) The objectives of EE in the 7th national Curriculum were not explicitly embedded in textbooks and too much is inclined toward 'knowledge' and 'skill'. Accordingly, it is necessary to develop 'module-type' EE textbooks to enable integrative EE. Also, it is suggested to develop specific strategies for linking environmental knowledge and attitude/behavior.

• Korean journal of communication and information
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• v.26
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• pp.157-208
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• 2004

This study explored how television news constructed an issue of the building of a nuclear waste facility on Wido, an issue which displayed a social conflict in the latter half of the year 2003. To do this, this study conducted frame analysis on KBS and MBC main news including national and local ones, broadcasted from 11 July, 2003 to 10 December, 2003. It was found that television news tended to stress violent protests against site designation and social disorder rather than the causes of a conflict and its solutions. Therefore, news reporting excluded fundamental reasons of conflict such as the governmental decision-making process of site designation, geological suitability, safety issue and nuclear energy policy, emphasizing the confrontation and clash between pro and con groups of site designation. This indicates that television news defines an issue of the building of a nuclear waste facility as the local conflict between groups, the police and demonstrators, or neighbors who approve and protest the site designation, not as the national issue of nuclear policy.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.587-596
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• 2012

This research works has newly proposed ideation method for development of innovative product design by using four design thinking framework in the aesthetic issue, material issue, function & structure issue which are usually called three major design issues. The four design thinking framework is consisted of eliminate, reduce, raise and create. This research also analyzed 232 innovation products in order to verify the proposed ideation method. The main outputs of this research are as follows; first, the ideation method which was newly developed in this research can help to create new ideas for innovation product design. Second, 41% existed innovation product designs were developed based on the ideation in the 'function & structure' issue. Three, 74% existed innovation product designs were developed based on the 'raise & create' issue rather than 'eliminate & reduce' issue. The results of this research can help a designer who wants create new innovation product.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.1
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• pp.40-46
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• 2007

High speed machining has become the main issue of metal cutting. Due to increase of the rotational speed of the spindle, problems such as the run-out errors and reduced stiffness must be overcome to improve the machining accuracy. In order to solve the problems, it is important to determine the appropriate clamping unit and tooling system. This paper presents an investigation into an analysis of static stiffness in the main spindle interface. Finite element analysis is performed by using a commercial code ANSYS according to variation of cutting force, clamping force and rotational speed. From the finite element results, it is shown that the rotational speed and clamping force mostly influence on the variation of the static stiffness in the main spindle interface.

• Genomics & Informatics
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• v.9 no.4
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• pp.194-196
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• 2011

Promoter prediction is a very important problem and is closely related to the main problems of bioinformatics such as the construction of gene regulatory networks and gene function annotation. In this context, we developed an integrated promoter prediction program using hybrid methods, PromoterWizard, which can be employed to detect the core promoter region and the transcription start site (TSS) in vertebrate genomic DNA sequences, an issue of obvious importance for genome annotation efforts. PromoterWizard consists of three main modules and two auxiliary modules. The three main modules include CDRM (Composite Dependency Reflecting Model) module, SVM (Support Vector Machine) module, and ICM (Interpolated Context Model) module. The two auxiliary modules are CpG Island Detector and GCPlot that may contribute to improving the predictive accuracy of the three main modules and facilitating human curator to decide on the final annotation.