• 제목/요약/키워드: 2020 strategy

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사례를 통해 살펴본 기술혁신형 기업의 해외출원 전략 (A Case Study on the Overseas Patent Application Strategies of Korean Innovative Companies)

  • 곽현;곽충목
    • 한국전자거래학회지
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    • 제25권4호
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    • pp.169-183
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    • 2020
  • 치열해지는 글로벌 시장에서 국내 기업들도 경쟁력 강화를 위해서는 기업의 경영전략과 연계된 선제적 해외 특허출원 및 확보 전략의 수립은 매우 중요하다. 이에 본 연구는 해외출원 경험이 있는 바이오생명, 제조업, 정보통신업, 정보서비스업의 중견, 중소, 창업 기업의 기술 혁신형 기업을 대상으로 심층인터뷰를 수행하였다. 기업의 내·외부 환경에 따른 출원루트 선정, 출원국선정, 비용절감방안, 대리인활용, 심사청구 시기 조정에 대한 해외특허출원전략을 분석함으로써 해외시장진출을 고려하는 기업의 해외출원 전략수립의 방향성을 제시하였다.

자연 수리자극을 이용한 소유역 규모 대수층 수리전도도 특성화: 지구통계 진화전략 역산해석 기법의 적용 가능성 시험 (Feasibility Test for Hydraulic Conductivity Characterization of Small Basin-Scale Aquifers Based on Geostatistical Evolution Strategy Using Naturally Imposed Hydraulic Stress)

  • 박은규
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제25권4호
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    • pp.87-97
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    • 2020
  • In this study, the applicability of the geostatistical evolution strategy as an inverse analysis method of estimating hydraulic properties of small-scale basin was tested. The geostatistical evolution strategy is a type of data assimilation method that can effectively estimate aquifer hydraulic conductivity by combining a global optimization model of the evolution strategy and a local optimization model of the ensemble Kalman filtering. In the applicability test, the geometry, hydraulic boundary conditions, and the distribution of groundwater monitoring wells of Hanlim-Eup were employed. On the other hand, a synthetic hydraulic conductivity distribution was generated and used as the reference property for ease of estimation quality assessment. In the estimations, two different cases were tested where, in Case I, both groundwater levels and hydraulic conductivity measurements were assumed to be available, and only the groundwater levels were available, in Case II. In both cases, the reference and estimated hydraulic conductivity fields were found to show reasonable similarity, even though the prior information for estimation was not accurate. The ability to estimate hydraulic conductivity without accurate prior information suggests that this method can be used effectively to estimate mathematical properties in real-world cases, many of which little prior information is available for the aquifer conditions.

기업수명주기에 따라 경영전략이 원가비대칭성에 미치는 영향 (The Effect of Business Strategy on Cost Asymmetry according to Corporate Life Cycle)

  • 홍난희
    • 디지털융복합연구
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    • 제18권5호
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    • pp.145-155
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    • 2020
  • 본 연구의 목적은 기업의 수명주기에 따른 경영전략과 원가행태의 관계를 살펴보는 것이다. 본 연구를 수행하기 위해 먼저, 2000년부터 2019년 사이에 국내 상장기업을 대상으로 경영전략과 원가행태의 관계를 실증분석 하고, 기업수명주기 단계별로 경영전략이 기업의 원가행태에 미치는 영향을 분석하였다. 구체적으로, 연속적 재무지표를 이용한 경영전략지수를 산출하여 선도형(Prospector) 또는 방어형(Defender) 기업에 가까운 기업으로 구분하고 기업의 현금흐름를 토대로 기업수명주기 단계를 구분하였다. 분석 결과, 선도형 전략에 가까운 기업일수록 원가 비대칭성이 심화되는 것으로 나타났으며, 기업수명주기 단계 중 도입기에 그러한 관계가 가장 강하게 나타남을 확인하였다. 본 연구는 기업의 경영전략과 원가전략을 기업수명주기 단계별로 살펴봄으로써 보다 포괄적인 분석을 수행하였으며, 재무적 지표를 활용하여 경영전략을 구분함으로써 재무정보의 적용 사례를 확장하였다는 것에 의미가 있다.

전자기록의 장기보존 전략을 위한 의사결정 프로세스 구현 (Implementation of Decision Making Process for Long-Term Preservation Strategy of Electronic Records)

  • 차현철
    • 한국멀티미디어학회논문지
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    • 제23권9호
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    • pp.1201-1209
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    • 2020
  • Based on the risk factor evaluation for the file format, this paper defines the procedures for presenting the long-term preservation plan for that format and the technical information registry necessary for building the system. This is a procedure to perform a risk assessment for the format, evaluate the risk, and select a long-term preservation strategy based on the information registered in the registry and information on the external signature and internal signature of the electronic record. We also reviewed the criteria for selecting appropriate long-term preservation strategies in the process and provided the criteria for adopting each detailed strategy of migration and emulation, which are long-term preservation strategies. And we implemented this process as a long-term preservation decision support system. This system can be used to provide guidelines for the maintenance, management, service and long-term preservation of information resources of electronic records in public institutions such as National Archives of Korea and Libraries.

A Study on an Effective Process Strategy Model of Interactive Advertising in Smart Media

  • Ahn, Jong Bae
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권1호
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    • pp.45-54
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    • 2020
  • One of the typical characteristics of smart media is that it is interactive, which shows a different form and property from the existing mass media, and also changes the way users use it. This change requires a different system from the existing method in the advertising process strategic model for effective interactive advertising in smart media. We attempted to derive an effective smart media interactive advertising process strategic model by understanding the interactive advertising processin smart media that is expected to continue to grow asthe main market of the advertising market and identifying the constituent factors. To this end, We analyzed the preminiary research results of interactive advertising and organized expert panels for the Delphi method and reflected their opinions and evaluations. The components and factors of interactive advertising were found and the effective interactive advertising process strategy model in smart media was derived from this study.

A new adaptive mesh refinement strategy based on a probabilistic error estimation

  • Ziaei, H.;Moslemi, H.
    • Structural Engineering and Mechanics
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    • 제74권4호
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    • pp.547-557
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    • 2020
  • In this paper, an automatic adaptive mesh refinement procedure is presented for two-dimensional problems on the basis of a new probabilistic error estimator. First-order perturbation theory is employed to determine the lower and upper bounds of the structural displacements and stresses considering uncertainties in geometric sizes, material properties and loading conditions. A new probabilistic error estimator is proposed to reduce the mesh dependency of the responses dispersion. The suggested error estimator neglects the refinement at the critical points with stress concentration. Therefore, the proposed strategy is combined with the classic adaptive mesh refinement to achieve an optimal mesh refined properly in regions with either high gradients or high dispersion of the responses. Several numerical examples are illustrated to demonstrate the efficiency, accuracy and robustness of the proposed computational algorithm and the results are compared with the classic adaptive mesh refinement strategy described in the literature.

A Study on the Reproduction Strategy through the Planning Process of Baby Shark

  • Cho, Hyung Kyung
    • International Journal of Advanced Culture Technology
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    • 제8권3호
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    • pp.101-105
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    • 2020
  • In this study, the aim is to understand the strategy of video content production with the case of the baby shark development process of Pink Fong Company, the content is described about the successful planning and strategy of baby shark which has become a global content, and the main point describes the planning of the production process and marketing strategies for each country. The findings of the conclusions resulted in the application of the standards of globalization and the local understanding of culture as the main factors for content success. If the Pink Pong Company's method is applied through this, it is possible to apply what is the main issue of creative content production Reproduction in the future.

ETRI AI 실행전략 4: AI 개방형 플랫폼 제공 확대 (ETRI AI Strategy #4: Expanding AI Open Platform)

  • 김성민;홍아름;연승준
    • 전자통신동향분석
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    • 제35권7호
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    • pp.36-45
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    • 2020
  • The method and process of research and development (R&D) is changing when we develop artificial intelligence (AI), and the way R&D results are dispersed is also changing. For the R&D process, using and participating in open-source ecosystems has become more important, so we need to be prepared for open source. For product and service development, a combination of AI algorithm, data, and computing power is needed. In this paper, we introduce ETRI AI Strategy #4, "Expanding AI Open Platform." It consists of two key tasks: one to build an AI open source platform (OSP) to create a cooperative AI R&D ecosystem, and another to systematize the "x+AI" open platform (XOP) to disperse AI technologies into the ecosystem.

ETRI AI 실행전략 1: 인공지능 핵심기술 선제적 확보 (ETRI AI Strategy #1: Proactively Securing AI Core Technologies)

  • 김성민;연승준
    • 전자통신동향분석
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    • 제35권7호
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    • pp.3-12
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    • 2020
  • In this paper, we introduce ETRI AI Strategy #1, "Proactively Securing AI Core Technologies." The first goal of this strategy is to innovate artificial intelligence (AI) service technology to overcome the current limitations of AI technologies. Even though we saw a big jump in AI technology development recently due to the rise of deep learning (DL), DL still has technical limitations and problems. This paper introduces the four major parts of the advanced AI technologies that ETRI will secure to overcome the problems of DL and harmonize AI with the human world: post DL technology, human-AI collaboration technology, intelligence for autonomous things, and big data platform technology.

ETRI AI 실행전략 2: AI 반도체 및 컴퓨팅시스템 기술경쟁력 강화 (ETRI AI Strategy #2: Strengthening Competencies in AI Semiconductor & Computing Technologies)

  • 최새솔;연승준
    • 전자통신동향분석
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    • 제35권7호
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    • pp.13-22
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    • 2020
  • There is no denying that computing power has been a crucial driving force behind the development of artificial intelligence today. In addition, artificial intelligence (AI) semiconductors and computing systems are perceived to have promising industrial value in the market along with rapid technological advances. Therefore, success in this field is also meaningful to the nation's growth and competitiveness. In this context, ETRI's AI strategy proposes implementation directions and tasks with the aim of strengthening the technological competitiveness of AI semiconductors and computing systems. The paper contains a brief background of ETRI's AI Strategy #2, research and development trends, and key tasks in four major areas: 1) AI processors, 2) AI computing systems, 3) neuromorphic computing, and 4) quantum computing.