• Title/Summary/Keyword: 프레임워크 참조 모델

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The e-Business Agent Prototyping System with Component Based Development Architecture (CBD 아키텍처 기반 e-비즈니스 에이전트 프로토타이핑 시스템)

  • Shin, Ho-Jun;Kim, Haeng-Kon
    • The KIPS Transactions:PartD
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    • v.11D no.1
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    • pp.133-142
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    • 2004
  • The next generation of web applications will need to be larger, more complex, and flexible Agent-oriented systems have great potential for these e-commerce applications. Agents can dynamically discover and compose e-services and mediate interactions. Development of software agents with CBD (Component Based Development) has proved to be successful in increasing speed to market of development Projects, lowering the development cost and providing better qualify. In this thesis, we propose a systemic development process for software agents using component and UML (Unified Modeling Language). We suggest a etA (e-business Agent) CBD reference architecture for layer the related components through identification and classification of general agent and e-business agent. We also propose the ebA-CBD process that is a guideline to consider the best features of existing agent oriented software engineering methodologies, while grounding agent-oriented concepts in the same underlying semantic framework used by UML. We first developed the agent components specification and modeled it with Goal, Role, Interaction, and Architecture Model. Based on this, we developed e-CPIMAS (e-Commerce Product Information Mailing Agent System) as a case study that provides the product information's mailing service according to proposed process formality. We finally describe how these concepts may assist in increasing the efficiency reusability, productivity and quality to develop the business application and e-business agent.

The Study on Frameworks of Valuation Models for the Contents of Science and Technology Information (과학기술정보 콘텐츠의 가치평가모형 프레임워크 연구)

  • Sung, Tae-Eung;Jun, Seung-Pyo;Byun, Jeongeun;Park, Hyun-Woo
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.421-433
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    • 2016
  • Recently, although the interest in transfer and transactions of intangible assets increases, there is no valuation model to objectively assess market value of knowledge and information contents such as electronic databases and the necessity of researches associated is brought up. Therefore, the present study proposes valuation models so as to utilize as objective reference information in the contents market of intangible assets, by assessing the market value of science and technology information contents including patents, academic papers and reports. First, we look into application methods of calculating cash flows by content types out of key variables which has been applied to the present technology valuation, and in case of patents we propose valuation methods based on concepts which are applied in the present technology valuation. Next, in case of both papers and reports, in order to reflect the characteristics of these contents we newly propose qualitative valuation methods which are adjustable based on both technology innovation and market demands indices while estimating the economic life cycle of the technology, and also present the input cost-based calculation method as the calculation method of cash flows. Throughout the study, we could establish frameworks by technology fields and business models applicable such as copyright licensing, transactions of individual science and technology information contents, and expect that more objective and reasonable assessment of content values is accessible.

The Improvement Plan for Personal Information Protection for Artificial Intelligence(AI) Service in South Korea (우리나라의 인공지능(AI)서비스를 위한 개인정보보호 개선방안)

  • Shin, Young-Jin
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.20-33
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    • 2021
  • This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.

Smart Factory Policy Measures for Promoting Manufacturing Innovation (제조혁신 촉진을 위한 스마트공장 정책방안)

  • Park, Jaesung James;Kang, Jae Won
    • Korean small business review
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    • v.42 no.2
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    • pp.117-137
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    • 2020
  • We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.