• 제목/요약/키워드: Technology Issue

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소비자 선호 이슈 및 R&D 관점에서의 다차원 이슈 클러스터링 (A Multi-Dimensional Issue Clustering from the Perspective Consumers' Interests and R&D)

  • 현윤진;김남규;조윤호
    • 한국IT서비스학회지
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    • 제14권1호
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    • pp.237-249
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    • 2015
  • The volume of unstructured text data generated by various social media has been increasing rapidly; therefore, use of text mining to support decision making has also been increasing. Especially, issue Clustering-determining a new relation with various issues through clustering-has gained attention from many researchers. However, 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 discovered using traditional issue clustering methods, even if those issues are strongly related in other perspectives. Therefore, issue clustering that fits each of criteria needs to be performed by the perspective of analysis and the purpose of use. In this study, a multi-dimensional issue clustering is proposed to overcome the limitation of traditional issue clustering. We assert, specifically in this study, that issue clustering should be performed for a particular purpose. We analyze the results of applying our methodology to two specific perspectives on issue clustering, (i) consumers' interests, and (ii) related R&D terms.

Reorganizing Social Issues from R&D Perspective Using Social Network Analysis

  • Shun Wong, William Xiu;Kim, Namgyu
    • Journal of Information Technology Applications and Management
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    • 제22권3호
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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.

거시적 이슈 트래킹의 한계 극복을 위한 개인 관심 트래킹 방법론 (Individual Interests Tracking : Beyond Macro-level Issue Tracking)

  • 류신;김남규
    • 한국IT서비스학회지
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    • 제13권4호
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    • pp.275-287
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    • 2014
  • Recently, the volume of unstructured text data generated by various social media has been increasing rapidly; consequently, the use of text mining to support decision-making has also been growing. In particular, academia and industry are paying significant attention to topic analysis in order to discover the main issues from a large volume of text documents. Topic analysis can be regarded as static analysis because it analyzes a snapshot of the distribution of various issues. In contrast, some recent studies have attempted to perform dynamic issue tracking, which analyzes and traces issue trends during a predefined period. However, most traditional issue tracking methods have a common limitation : when a new period is included, topic analysis must be repeated for all the documents of the entire period, rather than being conducted only on the new documents of the added period. Additionally, traditional issue tracking methods do not concentrate on the transition of individuals' interests from certain issues to others, although the methods can illustrate macro-level issue trends. In this paper, we propose an individual interests tracking methodology to overcome the two limitations of traditional issue tracking methods. Our main goal is not to track macro-level issue trends but to analyze trends of individual interests flow. Further, our methodology has extensible characteristics because it analyzes only newly added documents when the period of analysis is extended. In this paper, we also analyze the results of applying our methodology to news articles and their access logs.

Analysis of Issue and Commercialization opportunity of LED Fusion Industry using NEWS System

  • Roh, Hyun Sook;Choi, Yun Jeong;Lim, Dae-Hyun
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2014년도 춘계 종합학술대회 논문집
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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.

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3D display measurement for DEP

  • Huang, Kuo-Chung;Wu, Chou-Lin;Liao, Ching-Chiu;Lee, Kuen
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.1018-1021
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    • 2009
  • Define a designated eye position (DEP) for the 3D displays is a critical issue. It shows the system performance without content issue. We use luminance meter to capture these optical characteristic and discuss between one point measurement, two points measurement and three points measurement situation.

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중소제조업 스마트공장 기술 동향과 이슈 (Technology and Issue on Embodiment of Smart Factory in Small-Medium Manufacturing Business)

  • 박종만
    • 한국통신학회논문지
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    • 제40권12호
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    • pp.2491-2502
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    • 2015
  • 중소제조업 스마트공장 구현의 주요이슈는 기술개발 및 투자여력 부족에 대한 해결 방안 모색과 스마트공장 기술에 대한 정확한 구현 및 성공적 성과창출 여부이다. 제조혁신 3.0 패러다임의 실효적 추진을 위해서는 중소제조업의 가치사슬 수준에 기반을 둔 기술정책 추진의 전문성과, 글로벌 기술동향 대비 핵심기술 개발의 우선순위에 의한 세부적 실천계획이 요구된다. 이 논문은 스마트공장 구현관련 IIoT와 CPS 기술에 대한 최신 기술 및 특허 동향분석과 대응전략 및 실천과제를 제시하여 기본적 제조혁신 3.0 기획구조하의 스마트공장 구현을 지원하는데 중점을 둔다.

An Optimality-Theoretic Analysis of 'It'-Extraposition in English

  • Khym, Han-gyoo
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.58-64
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    • 2018
  • The Extraposition phenomenon in English has been analyzed mainly through two approaches: a derivational approach under the Principles & Parameters framework (P&P) and a representational approach under the early Minimalist framework (MP). The first one tries to understand the phenomenon as a result of the movement of a Big Subject first to the end of a sentence which is then followed by the insertion of an expletive 'it' to the empty Subject position. On the other hand, the second one tries to understand it by way of assuming a Big Subject originally base-generated at the end of a sentence which is followed by the insertion of an expletive 'it' to the empty Subject position. The two approaches, however, are not free from theoretical defects at all: the full derivational approach was under controversy in terms of (1) the failure of the Binding Theory and (2) its inability to suggest anything about the marginal reading issue. On the while, the representational approach has been argued (1) to violate the thematic hierarchy that should be kept in D-structure, and (2) to be also unable to suggest the slightest difference in marginal reading issue as the first one. In this paper I focus mainly on analyzing the 'It'-Extraposition phenomenon in the Optimality Theory. I will show that by way of (i) some newly developed constraints such as Subj., and AHSubj. and (ii) a constraint hierarchy of Subj.>>AHSubj., the controversies of 'It-Extraposition' such as (1) the analysis of construction and (2) the very closely related issue of 'marginal reading issue' can be explained properly.

새로운 정보기술 적용에 따른 사전 성공 효과 예측 (Prediction on The Effects of Prior Success on Applying New Information Technologies)

  • 조석환
    • 정보학연구
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    • 제3권3호
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    • pp.11-26
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    • 2000
  • 새로운 정보기술이 기업의 성공에 있어서 어떠한 효과를 가져 왔는지 연구하였다. 새로운 정보기술에 대한 관리자의 판단이 긍정적인 생각에 기초를 두었을 경우에 성공한 경우와 새로운 정보기술을 조사 적용하는 활동에 소속되지 않았던 관리자들이 성공한 경우의 정도를 전략적인 차원에서 비교 연구코자 한다. 비록 전략적 차원에서 관리자의 판단이 조직에 중요한 영향을 미친다는 것이 검증되었다손 치더라도 그러한 판단에 대한 결정이 그리 관심을 일으키지 못하였다. 본 논문은 전략적 차원에서 관리자가 새로운 정보기술 적용에 따른 판단이 그들의 사전 경험이 상당히 작용할 것이라는 것을 제시하며 미래에 어떠한 영향을 미칠 것인가를 검토하고자 한다.

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Suggestions for SME Policy for Sustainable Development

  • Park, Ky Young
    • Asian Journal of Innovation and Policy
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    • 제8권3호
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    • pp.378-395
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    • 2019
  • This article is a suggestion for SME policy in Korea for the attention of the senior policy-experiencer of the whole nation, the Advisor to the President of Korea. This article is written from the perspective of technology policy experts, not SME experts. In spite of many SME policies, the issue of SMEs in Korea is worsening, not being resolved. Technology-oriented policies are effective for each company, but the role of SMEs is gradually decreasing in the Korean economy. Reflecting on this fact, I would like to suggest measures that include long-term, but social as well as educational. The solution I suggested is coexistence since sustainable growth through SMEs is not just an economic or social issue. It is a matter of survival. I propose four types of coexistence: corporate, local, human, and coexistence with nature. Getting coexistence works requires a change in social norms that mobilize even education.

Tangible Media based on Interactive Technology;iT_Media

  • Yoon, Joong-Sun;Yoh, Myeung-Sook;Lee, Hye-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.794-799
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    • 2004
  • Recent paradigm in technology shifts from object-based technology to environment-based technology. Issue here is interaction among humans and the world around humans, which is natural and artificial "space." Holistic interactions based on "Mom (embodiment)" suggest a good starting point for exploring this issue. Soft engineering, "Mom," holistic interactions, tangible space, ubiquitous computing, science of emotion, and interactive media are key concepts in interactive technology. Interactive tangible media "iT_Media" is proposed to explore and synthesize these ideas. Interactive technology initiative (ITI) is an interdisciplinary research group to search for the proper technology and the proper way of implementing technology: "interactive technology" or "soft engineering." Some experimental activities conducted by ITI are presented in this session, "Interactive Technology."

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