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Study of Management and Operation for IT Service Based on Unification TRM (통합 TRM 기반의 IT 서비스 관리 및 운영 방안 연구)

  • Park, Soo-Ile;Park, Jong-Ku;Choi, Sung-Bae
    • 한국IT서비스학회:학술대회논문집
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    • 2008.11a
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    • pp.395-398
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    • 2008
  • 기술로드맵의 가장 큰 가치는 기술로드맵 자체보다는 그것을 작성하기 위한 일련의 활동과정이라 할 수 있다. 기술전략의 실제적 Tool로서 효과를 발휘, 기술전략수립에 활용되기 위하여, 국가적으로 산업별 로드맵 작성에 적극 나서서 각 산업별, 기술별 발전방향을 제시하기 위하여. 올해 지식경제부는 "지식경제 통합기술청사진"을 발표하였다. 본 논문에서는 "지식경제 통합기술청사진"에 관하여 전반적인 사항들에 관하여 집어보고, 국가 정보 자원관리 차원에서 통합기술청사진을 IT서비스 차원에서의 체계화를 통하여, 관리 및 운영방안에 대한 전략적인 접근을 하고자 한다. 통합 TRM 기반의 IT서비스 관리 및 운영방안에 관련된 부분들을 분석하여 효율적으로 관리 및 활용할 수 있는 운영 방안을 제안한다.

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Development of a Writing Program Using a Mind-map Software (마인드맵 소프트웨어를 활용한 논술 프로그램 개발)

  • Seo, Mi-Kyung;Park, Sun-Ju
    • Journal of The Korean Association of Information Education
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    • v.13 no.2
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    • pp.215-224
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    • 2009
  • The aim of teaching writing is not to memorize a single piece of knowledge but to acquire higher thinking that could be related to other fields using learners' various reading experiences and schemata. Among several strategies or techniques to write well, it is recommended to use a mind-map technique. A mind-map software applies the mind-map technique into computer for learners to study autonomously. However, the mind-map software is not common in educational fields yet and there are only few studies on the effect of it. Therefore, this study analyzed various curricula to extract the elements of writing and developed a mind-map software program which was applied and tested. As a result, the writing program using the mind-map software was effective in promoting learners' motivation and lowering anxiety. It also improved learners' competence of writing such as understanding, analytic thinking, creativity, ability to organize, and expression.

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Multi-Decoder DNN Model for High Accuracy Segmentation using Pseudo Depth-Map and Efficient Training Strategy (의사 깊이맵을 이용한 다중 디코더 기반의 고정밀 분할 딥러닝 모델 개발 및 효율적인 학습 전략)

  • Yu-Jin Kim;Dongyoung Kim;Jeong-Gun Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.727-730
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    • 2024
  • 최근 딥러닝 기술이 급속히 발전하며 현대 사회의 다양한 응용분야에서 빠르게 적용되고 있다. 특히 영상 기반의 딥러닝 기술은 자연어 처리와 함께 인공지능 기술의 핵심 연구 분야로 많은 연구가 진행되고 있다. 논문에서는 최근 많은 연구가 진행되고 있는 영상의 의미적 분할 (Semantic Segmentation) 성능을 향상하기 위한 연구를 진행한다. 특히 모델에서 고정밀의 의미적 분할을 수행할 수 있도록 추가적인 정보로써 의사 깊이맵 (Pseudo Depth-Map)을 활용하는 방법을 제안하였다. 더불어, 의사 깊이맵을 모델 상에서 효과적으로 학습시키기 위하여 다중 디코더 모델과 학습 효율을 높이는 학습 스케줄링 전략을 제안한다. 의사 깊이맵과 다중 디코더 모델 기반의 제안 모델은 기존 의미적 분할 모델과 비교하여 iIoU 기준 2%의 성능 향상을 보였다.

Development of Open Roadmap for Open Innovation: A Case of P&G (개방형 혁신을 위한 개방형 로드맵의 개발 : P&G 사례연구)

  • Jeon, Jeong-Hwan;Suh, Yong-Yoon;Kim, Moon-Soo
    • Journal of Korea Technology Innovation Society
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    • v.15 no.1
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    • pp.1-27
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    • 2012
  • Under the open innovation paradigm, it is needed to establish an appropriate strategic planning tool which can take both internal and external resources and capabilities into account. In response, this paper suggests the open roadmap to systematically and usefully implement open innovation. The open roadmap deals with both inbound and outbound open innovation activities. Moreover, in the inbound and outbound open innovation, six types of the open roadmap are proposed in terms of sources of innovation. The proposed open roadmap is applied to a case of open innovation in the P&G corporation for examining its usefulness and validation. It is expected that the open roadmap provides fruitful information when open innovation is done.

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A Multi-Strategic Mapping Approach for Distributed Topic Maps (분산 토픽맵의 다중 전략 매핑 기법)

  • Kim Jung-Min;Shin Hyo-phil;Kim Hyoung-Joo
    • Journal of KIISE:Software and Applications
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    • v.33 no.1
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    • pp.114-129
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    • 2006
  • Ontology mapping is the task of finding semantic correspondences between two ontologies. In order to improve the effectiveness of ontology mapping, we need to consider the characteristics and constraints of data models used for implementing ontologies. Earlier research on ontology mapping, however, has proven to be inefficient because the approach should transform input ontologies into graphs and take into account all the nodes and edges of the graphs, which ended up requiring a great amount of processing time. In this paper, we propose a multi-strategic mapping approach to find correspondences between ontologies based on the syntactic or semantic characteristics and constraints of the topic maps. Our multi-strategic mapping approach includes a topic name-based mapping, a topic property-based mapping, a hierarchy-based mapping, and an association-based mapping approach. And it also uses a hybrid method in which a combined similarity is derived from the results of individual mapping approaches. In addition, we don't need to generate a cross-pair of all topics from the ontologies because unmatched pairs of topics can be removed by characteristics and constraints of the topic maps. For our experiments, we used oriental philosophy ontologies, western philosophy ontologies, Yahoo western philosophy dictionary, and Yahoo german literature dictionary as input ontologies. Our experiments show that the automatically generated mapping results conform to the outputs generated manually by domain experts, which is very promising for further work.

Strategic investigation of development of mine reclamation technology based on third-stage road map (3단계 기술개발 로드맵에 따른 광해방지 기술 발전 전략 고찰)

  • Yang, Injae;Ji, Wonhyun;Park, Jayhyun
    • Journal of the Korean Society of Mineral and Energy Resources Engineers
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    • v.55 no.6
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    • pp.538-545
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    • 2018
  • It is necessary to develop systematic mine reclamation technology according to mid- and long-term road maps to effectively promote mine reclamation projects. Evaluating the main achievements of the mine reclamation technology according to the first and second-stage roadmaps revealed the necessity of sharing the R&D achievements. In this study, by reviewing the key issues of the third-stage roadmap and considering the major technical needs of in-and-out customers, the strategic development direction of sustainable mine reclamation technology through expanded sharing of R&D achievement was examined.

2020년 국내 광학산업의 비전과 발전 전략 제시

  • Park, Ji-Yeon
    • The Optical Journal
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    • s.105
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    • pp.30-33
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    • 2006
  • 한국광학기기협회(회장·이중구)에서는 향후 2015~2020년의 우리나라의 광학산업의 비전과 달성 전략을 제시하기 위한 로드맵 수립 작업에 돌입했다. 하루가 다르게 급속하게 밀려드는 변화의 물결속에서 당장 10년 후, 15년 후를 예측한다는 것은 매우 어려운 작업임에 틀림없으나 희망찬 한국 광학산업의 미래를 앞당기기 위해서는 우리의 희망과 의지가 반영된 미래상을 그려보는 것은 매우 절실하고 중요한 작업인 것이다. 로드맵이 완성되면 광학산업의 비전제시는 물론 정부 기술개발사업 참여를 위한 기본 자료로 활용이 가능할 전망이다.

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A R&D strategies for development using structured association map (구조화된 연관맵을 이용한 연구개발 전략 수립)

  • Song, Wonho;Lee, Junseok;Park, Sangsung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.3
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    • pp.190-195
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    • 2016
  • A technology is continuously developed in a rapidly changing global market. A company requires an appropriate R&D strategy for adapting to this environment. That is, the technologies owned by the company needs to be thoroughly analyzed to improve its competitiveness. Alternatively, technology classification using IPC codes is carried out recently in an objective and quantitative way. International Patent Classification, IPC is an internationally specified classification system, so it is helpful to conduct an objective and quantitative patent analysis of technology. In this study, all of the patents owned by company C are investigated and a matrix representing IPC codes of each patent is created. Then, a structured association map of the patents is made through association rules mining based on Confidence. The association map can be used to inspect the current situation of a company about patents. It also allows highly associated technologies to be clustered. Using the association map, this study analyzes the technologies of company C and how it changes with time. The strategy for future technologies is established based on the result.