• Title/Summary/Keyword: digital collaborative network

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Impact on Internalization of Management Strategy in Public Organization (경영전략 내재화가 공공기관의 발전에 미치는 영향)

  • Lee, Hyang-Soo;Lee, Seong-Hoon
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.1-10
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    • 2016
  • New systems and management strategies have been successfully settled in order to be linked to enhancing organizational performance internalization process. The most successful methods for internalization are training and communication strategies. However, the organization must be supported by trust and cooperation cultures for successful education and communication. In this study, we measured the degree of internalization of organized vision, and core values. And then, a successful convergence business strategy internalization plan was presented. Strengthening training plan, communication strategies and management strategies must be internalized in parallel with seeking a change of organizational culture. First, iterative learning is very effective in order to strengthen education and management strategies through talking frequently. Second, chief executive officer should pay attention to communication with employees for the internalization. Finally, in order to change the organizational culture, organizational leaders will establish strategic plan to build open and collaborative culture among colleagues and quantitative and qualitative expansion of the human network.

A Study on the Critical Success Factors and Policy Direction of ICT-based Convergency Company (ICT기반 융합기업의 성공 요인 및 정책방향에 대한 연구)

  • Weon, Sang-Ho;Yang, Hae-Sool
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.39-50
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    • 2015
  • ICT convergence has attracted attention as a major means of corporate innovation. In this study in-depth interviews was had to analyze the success factors of ICT-based companies that created a performance through the convergence. The success factors of ICT convergence were analyzed by differentiating your company's products and services through the integration of ICT skills, securing convergence technologies with enhanced R&D investment, and the strong leadership of CEO and collaborative relationships at home and abroad for convergence. It is a positive impact on success of ICT convergence to try the innovations in products, to invest R&D aggressively and to construct a global partnership network. As these results, they was proposed as a policy direction for the diffusion of ICT convergence.

A Literature Review and Classification of Recommender Systems on Academic Journals (추천시스템관련 학술논문 분석 및 분류)

  • Park, Deuk-Hee;Kim, Hyea-Kyeong;Choi, Il-Young;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.139-152
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    • 2011
  • Recommender systems have become an important research field since the emergence of the first paper on collaborative filtering in the mid-1990s. In general, recommender systems are defined as the supporting systems which help users to find information, products, or services (such as books, movies, music, digital products, web sites, and TV programs) by aggregating and analyzing suggestions from other users, which mean reviews from various authorities, and user attributes. However, as academic researches on recommender systems have increased significantly over the last ten years, more researches are required to be applicable in the real world situation. Because research field on recommender systems is still wide and less mature than other research fields. Accordingly, the existing articles on recommender systems need to be reviewed toward the next generation of recommender systems. However, it would be not easy to confine the recommender system researches to specific disciplines, considering the nature of the recommender system researches. So, we reviewed all articles on recommender systems from 37 journals which were published from 2001 to 2010. The 37 journals are selected from top 125 journals of the MIS Journal Rankings. Also, the literature search was based on the descriptors "Recommender system", "Recommendation system", "Personalization system", "Collaborative filtering" and "Contents filtering". The full text of each article was reviewed to eliminate the article that was not actually related to recommender systems. Many of articles were excluded because the articles such as Conference papers, master's and doctoral dissertations, textbook, unpublished working papers, non-English publication papers and news were unfit for our research. We classified articles by year of publication, journals, recommendation fields, and data mining techniques. The recommendation fields and data mining techniques of 187 articles are reviewed and classified into eight recommendation fields (book, document, image, movie, music, shopping, TV program, and others) and eight data mining techniques (association rule, clustering, decision tree, k-nearest neighbor, link analysis, neural network, regression, and other heuristic methods). The results represented in this paper have several significant implications. First, based on previous publication rates, the interest in the recommender system related research will grow significantly in the future. Second, 49 articles are related to movie recommendation whereas image and TV program recommendation are identified in only 6 articles. This result has been caused by the easy use of MovieLens data set. So, it is necessary to prepare data set of other fields. Third, recently social network analysis has been used in the various applications. However studies on recommender systems using social network analysis are deficient. Henceforth, we expect that new recommendation approaches using social network analysis will be developed in the recommender systems. So, it will be an interesting and further research area to evaluate the recommendation system researches using social method analysis. This result provides trend of recommender system researches by examining the published literature, and provides practitioners and researchers with insight and future direction on recommender systems. We hope that this research helps anyone who is interested in recommender systems research to gain insight for future research.

Analysis of Domestic SNA-based Governance Study Trends (소셜네트워크분석을 통한 국내 거버넌스 연구 동향 분석)

  • Kim, Na-Rang;Choi, Hyung-Rim;Lee, Taihun
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.35-45
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    • 2018
  • Research on the establishment of new governance aimed at efficient policy planning and the implementation thereof by the government has been conducted in response to social changes. Nonetheless, governance is comprehensive and encompasses different meanings; it takes various forms in the process of its actual application. Therefore, systematic classification of research on governance and analysis on its research trend are required. Accordingly, three researchers who majored in policy sciences, business informatics, and library and information science, respectively, searched for theses related to governance published since 2016 from Research Information Sharing Service and conducted a social network analysis (SNA) on them. According to their research results, the main research topics were largely classified into collaborative governance and local governance. Keywords throughout the topics included network, participation, conflict, and trust in line with the characteristics of governance. Representative subjects of governance included education, urban regeneration, and the environment. Further, measurement of betweenness centrality showed local governance was a main topic for convergent research. This study will lead to a greater understanding of research on governance and help activate such research. One limitation of this study is that it analyzed only theses with the keywords but not all theses on governance. Follow-up research should analyze all theses on governance and statistically verify them with SNA indexes.

6G Technology Competitiveness and Network Analysis: Focusing on GaN Integrated Circuit Patent Data (6G의 기술경쟁력 및 네트워크 분석: GaN 집적회로 특허 데이터 중심)

  • Woo-Seok Choi;Jin-Yong Kim;Jung-Hwan Lee;Sang-Hyun Choi
    • Journal of Industrial Convergence
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    • v.21 no.3
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    • pp.1-15
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    • 2023
  • Expectations for wireless communication technology are rising as a base technology that promotes innovation in various industries in line with the paradigm of digital transformation in the 21st century beyond the stage of being used only for communication service itself. In this study, in order to compare 6G technological competitiveness between Korea and leading countries, technological competitiveness was confirmed through PFS, CPP, and network analysis based on GaN Integrated Circuit patent data. Korea's 6G technological competitiveness was 0.62 in PFS and 3.93 in CPP, which were 32.8% and 19.9%, respectively, compared to leading countries. In addition, as a result of network analysis, the collaboration rate in the 6G field was 7.2%, and the collaboration ecosystem was very insufficient in most countries. In contrast, it was confirmed that Korea, unlike leading countries, has established a small-scale collaboration ecosystem linked by industry and academia. Thus, it is necessary to establish a strategy for 6G communication technology at the national level so that communication technology can be advanced based on a relatively well-established collaborative ecosystem.

Low-Power Streamable AI Software Runtime Execution based on Collaborative Edge-Cloud Image Processing in Metaverse Applications (에지 클라우드 협동 이미지 처리기반 메타버스에서 스트리밍 가능한 저전력 AI 소프트웨어의 런타임 실행)

  • Kang, Myeongjin;Kim, Ho;Park, Jungwon;Yang, Seongbeom;Yun, Junseo;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1577-1585
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    • 2022
  • As the interest in the 4th industrial revolution and metaverse increases, metaverse with multi edge structure is proposed and noted. Metaverse is a structure that can create digital doctor-like system through a large amount of image processing and data transmission in a multi edge system. Since metaverse application requires calculating performance, which can reconstruct 3-D space, edge hardware's insufficient calculating performance has been a problem. To provide streamable AI software in runtime, image processing, and data transmission, which is edge's loads, needs to be lightweight. Also lightweight at the edge leads to power consumption reduction of the entire metaverse application system. In this paper, we propose collaborative edge-cloud image processing with remote image processing method and Region of Interest (ROI) to overcome edge's power performance and build streamable and runtime executable AI software. The proposed structure was implemented using a PC and an embedded board, and the reduction of time, power, and network communications were verified.

Research Trend and Analysis on the Issues of Informatization and E-Government in Korea (국내의 정보화 및 전자정부 연구동향 분석)

  • Lee, Hye Won;Myeong, Seunghwan
    • Informatization Policy
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    • v.20 no.4
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    • pp.3-22
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    • 2013
  • This study analyzed the research trends and methodologies through meta analysis method on the issues of ICT policy and e-government in Korean major journals and proceedings including Korean Association of Public Administration (KAPA), Korean Association of Policy Studies (KAPS), and Korean Journal of Information Policy of NIA (National Information Agency). The results showed that methodology has changed from explorative study with conceptualization to experimental study with theoretical model and cases. Qualitative approaches including case studies and description with policy implications were employed more as analyses tools. In terms of contents, system effectiveness and e-governance issues prevailed in the early 2000s, and since then, it has changed into ICT-based social changes and looking for generalization of theories including e-democracy, e-service, e-participation, digital divide, and post-information society. Now we are facing another ICT revolution of social network via web3.0 and gov3.0 and it is time to open a new theoretical debate, deconstruction of discourse, and collaborative perspective among different disciplines.

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A Study of Convergence Application Service as in u-Gov (u-Gov에 있어서 컨버전스 응용 서비스 연구)

  • Jeong, Boon-Do;Jeong, Young-Chul;Park, Jong-An
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1047-1053
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    • 2007
  • As the acceleration of digital convergence has been deepen and extended to convergence of human, things, and space, the various forms of convergence have been appeared and extended. This paper presents the aim of the system's change which embodies the collaborative electronic government of the application service, which applies the UIT as the changed feature from e-Gov to u-Gov and attains the administrative idea which the u-Gov pursues. It analyzes and applies the propulsive plan of the policies to u-Gov, which is resulted from the variation of the convergence community, and the feature of the UIT, and then it proposed the service model of the new u-Gov with circulation instance adumbration which applies the UIT as the objective realization means of the ultimate administration.

Animation and Machines: designing expressive robot-human interactions (애니메이션과 기계: 감정 표현 로봇과 인간과의 상호작용 연구)

  • Schlittler, Joao Paulo Amaral
    • Cartoon and Animation Studies
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    • s.49
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    • pp.677-696
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    • 2017
  • Cartoons and consequently animation are an effective way of visualizing futuristic scenarios. Here we look at how animation is becoming ubiquitous and an integral part of this future today: the cybernetic and mediated society that we are being transformed into. Animation therefore becomes a form of speech between humans and this networked reality, either as an interface or as representation that gives temporal form to objects. Animation or specifically animated films usually are associated with character based short and feature films, fiction or nonfiction. However animation is not constricted to traditional cinematic formats and language, the same way that design and communication have become treated as separate fields, however according to $Vil{\acute{e}}m$ Flusser they aren't. The same premise can be applied to animation in a networked culture: Animation has become an intrinsic to design processes and products - as in motion graphics, interface design and three-dimensional visualization. Video-games, virtual reality, map based apps and social networks constitute layers of an expanded universe that embodies our network based culture. They are products of design and media disciplines that are increasingly relying on animation as a universal language suited to multi-cultural interactions carried in digital ambients. In this sense animation becomes a discourse, the same way as Roland Barthes describes myth as a type of speech. With the objective of exploring the role of animation as a design tool, the proposed research intends to develop transmedia creative visual strategies using animation both as narrative and as an user interface.

Comparing the 2015 with the 2022 Revised Primary Science Curriculum Based on Network Analysis (2015 및 2022 개정 초등학교 과학과 교육과정에 대한 비교 - 네트워크 분석을 중심으로 -)

  • Jho, Hunkoog
    • Journal of Korean Elementary Science Education
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    • v.42 no.1
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    • pp.178-193
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    • 2023
  • The aim of this study was to investigate differences in the achievement standards from the 2015 to the 2022 revised national science curriculum and to present the implications for science teaching under the revised curriculum. Achievement standards relevant to primary science education were therefore extracted from the national curriculum documents; conceptual domains in the two curricula were analyzed for differences; various kinds of centrality were computed; and the Louvain algorithm was used to identify clusters. These methods revealed that, in the revised compared with the preceding curriculum, the total number of nodes and links had increased, while the number of achievement standards had decreased by 10 percent. In the revised curriculum, keywords relevant to procedural skills and behavior received more emphasis and were connected to collaborative learning and digital literacy. Observation, survey, and explanation remained important, but varied in application across the fields of science. Clustering revealed that the number of categories in each field of science remained mostly unchanged in the revised compared with the previous curriculum, but that each category highlighted different skills or behaviors. Based on those findings, some implications for science instruction in the classroom are discussed.