• Title/Summary/Keyword: Korean government platform

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A Study on the Development of System Scaffolding for Elevator Installation Work (엘리베이터 설치 작업용 시스템 비계 개발에 관한 연구)

  • Hwang, Jong Moon;Lee, Ki Yeol;Lee, Kyung-Sun;Jeon, Du Seung
    • Journal of the Korean Society of Safety
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    • v.37 no.4
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    • pp.51-57
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    • 2022
  • In recent years, the government's urban housing expansion policy has resulted in increased construction and remodeling work of residential houses and apartments, causing more industrial accidents at elevator installation sites. Typically, accidents occur during the installation and dismantling of work scaffolds inside the hoistways or using non-standardized work scaffolds due to their structural instability. In view of this, the present study deals with the development of a standardized elevator system scaffolding that can be safely installed outside the hoistway, securing the work platform inside the hoistway. An improved version of the scaffolding system eliminates the need to enter the hoistway for the scaffolding installation, thereby preventing accidents.

Analysis for Patent Application Tendency in Intelligent Robot Hardware (지능형 로봇 하드웨어 특허동향 분석)

  • Kim, Seung-Min;Nahm, Yoon-Eui;Kim, Ji-Kwan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.4
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    • pp.46-53
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    • 2007
  • This research relates to the patent application tendency about the hardware platform of the intelligent robot among the robotics industry in which the market is more and more expanded. The patent about the hardware field of intelligent robot was analyzed from not only Korea but also U.S., Japanese and Europe which is called as the 3 pole of patent. By this research the government which supervises the nation's research policy can obtain the objective information of the industrial tendency, so it can establish the investment policy of national research and development. And the researchers can set up the research direction for evasion from patent infringement trouble by obtaining the patent application information. This also shows whether their research can be competitive or not.

Design of Integrated Reduction Platform for Food Contaminants Derived from the Environment through Interagency Collaboration in Korea (환경유래 식품오염물질의 범부처 통합 저감화 플랫폼 설계)

  • Ko, Ahra;Heo, Ji-Young;Kang, Young-Woon;Kang, Kil Jin;Chung, Myung-Sub;Lee, Hunjoo
    • Journal of Environmental Health Sciences
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    • v.43 no.4
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    • pp.307-313
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    • 2017
  • Objectives: Chemicals derived from various environment media contaminates food across the food supply chain. In Korea, levels of contaminants in food have been sporadically measured by monitoring programs of different government agencies. There is difficulty with data compilation and integrated analysis across media. Therefore, the aim of this study was to propose an overall integrated database and analytical platform design for the 'ECO-FOOD NET (Environmental COntaminant reduction platform for FOOD through an interagency collaboration NETwork)', a tool to support the reduction of environmental contaminants in food. Methods: We developed a new data structure and standardized protocols for the compilation of integrated data. In addition, we conducted subject-oriented logical and physical relational database modeling and created the architecture design of the platform. Results: We established a standardized code system related to exposure media and route, analysis method and food matrix. In addition, we designed the seven software modules of 'About the System', 'Introduction to Interagency Work', 'Media-Chemicals Profiles', 'Method Bank', 'Monitoring Data Base', 'Integrated Media Analysis', and 'Risk-Benefit Analysis'. Conclusions: This study will contribute to decision-making as a tool for executing risk management, such as sustainable reduction policies of contaminants in food.

Development of a National Research Data Platform for Sharing and Utilizing Research Data

  • Shin, Youngho;Um, Jungho;Seo, Dongmin;Shin, Sungho
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.25-38
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    • 2022
  • Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

e-Government Platform based on web service using Semantic Web (Semantic Web을 이용한 Web Service 기반 전자정부 플랫폼)

  • 강민숙;조동섭
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.633-635
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    • 2003
  • 전자정부 사업이 완료되면서 많은 서비스가 국민들에게 제공되고 있지만 부처별로 진행되어온 서비스로 인해 필요한 정보의 검색 및 서비스의 활용이 쉽지 않다. HTML은 주로 표현 중심으로 사용되어 사용자의 목적을 만족시키기에 부족하다는 문제점을 지니고 있다. 목적에 부합된 정보를 효율적으로 추출하여 적절한 정보를 생성하는 문제가 점차 중요시되고 있고, 이를 통해서 웹 상의 정보에 컴퓨터가 이해할 수 있는 의미(Semantic)를 부여하여 사람과 컴퓨터간의 협동 작업을 원활하게 하기 위한 Semantic Web이 제안되었다. 본 논문에서는 시멘틱 웹을 이용하여 전자정부 서비스를 위한 웹 상의 모든 정적인 성격의 정보와 동적인 성격의 서비스를 하나의 데이터베이스처럼 운용할 수 있는 플랫폼을 제시하였다.

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The Influence of Social Media's Environmental Characteristics on Users' Active Participation and the Types of Message Diffusion: Government's Communication Messages and Public Responses during the MERS Outbreak (소셜 미디어의 매체 환경적 특성이 이용자의 능동적 참여 및 메시지 확산 유형에 미치는 영향 : 메르스 사태에 대한 정부 대응 및 국민들의 반응을 중심으로)

  • Hong, Juhyun;Lee, Mina
    • Journal of Internet Computing and Services
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    • v.18 no.1
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    • pp.89-103
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    • 2017
  • This paper analyzed the influence of government-owned social media's environmental characteristics on the level of users' active participation and types of message diffusion during government's crisis. The social media environment was categorized based on human interactivity and media interactivity. Users' active participation was measured based on amount of like/dislike and number of comments. User's comments were categorized through network analysis. This study found that the level of user's active participation was high on the information-provider participation type and the relationship-oriented participation type. The level of user's active participation was low on the information-provider type and the limited platform. The analysis of message diffusion type showed that a restrictive rational opinion type was found for the limited platform and diffusive or restrictive emotional opinion types were found for other types of social media environment. This study found that during MERS crisis, the government did not provide messages suitable for the social media environment, and the media environment influenced users' participation and comments. The government should provide user friendly social media environment by increasing interaction with users and should make efforts to communicate with users in crisis situation.

A Case Study: Design and Develop e-Learning Content for Korean Local Government Officials in the Pandemic

  • Park, Eunhye;Park, Sehyeon;Ryu, JaeYoul
    • International Journal of Contents
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    • v.18 no.2
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    • pp.47-57
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    • 2022
  • e-Learning content can be defined as digital content to achieve educational goals. Since it is an educational material that can be distributed in offline, online, and mobile environments, it is important to create content that meets the learner's education environment and educational goals. In particular, if the learner is a public official, the vision, philosophy, and characteristics of each local government must reflect. As non-face-to-face online education expands further due to the COVID-19 pandemic, local governments that have relied on onsite education in the past urgently require developing strong basic competency education and special task competency content that reflect regional characteristics. Such e-learning content, however, hardly exists and the ability to independently develop them is also insufficient. In this circumstance, this case study describes the process of self-production of e-learning content suitable for Busan's characteristics by the Human Resource Development (HRD) Institute of Busan City, a local government. The field of instructional design and instructional technology is always evolving and growing by blending technological innovation into instructional platform design and adapting to the changes in society. Busan HRD Institute (BHI), therefore, tried to implement blended learning by developing content that reflected the recent trend of micro-learning in e-learning through a detailed analysis. For this, an e-learning content developer with certain requirements was selected and contracted, and the process of developing content through a collaboration between the client and developer was described in this study according to the ADDIE model of Instructional Systems Development (ISD).

Case Study on the Implementation of Facility AI Platform for Small and Medium Enterprises of Korean Root Industry (뿌리업종 중견중소기업의 설비 AI 플랫폼 구축에 관한 사례연구)

  • Lee, Byong Koo;Moon, Tae Soo
    • The Journal of Information Systems
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    • v.32 no.3
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    • pp.205-224
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    • 2023
  • Purpose This study investigates the impact of organizational characteristics on organizational performance through case studies of smart factory implementation in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study adopts the smart factory index of KOSMO (Korea Smart Manufacturing Office) established by Korean Ministry of SMEs and Startups. We visited 3 firms implemented smart factory projects. This study presents the results of field study in detail with evaluation criteria on how organizational competences like AI technology adoption and facility automation can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach There are not so many results of empirical studies related to smart factories in Korea. This is because organizational support and user involvement are required for facility AI platform service beyond factory automation after the start of the 4th Industrial Revolution. Korean government's KOSMO (Korean Smart Manufacturing Office) has developed and proposed a level measurement index for smart factory implementation. This study conducts case studies based on the level measurement method proposed by KOSMO in the process of conducting case studies of three companies belonging to the root and mechanic industries in Korea. Findings The findings indicate that organizational competences, such as facility AI platform adoption and user involvement, are antecedents to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competences and organizational performance through smart factory case studies. This study suggests that SMEs should focus on enhancing their organizational competences for improving organizational performance through implementing smart factory projects.

Integrative research on industrial policy and corporate strategy of autonomous car (세계 주요국의 자율주행차 정책 및 기업전략에 관한 통합적 연구)

  • Baek, Seoin
    • Knowledge Management Research
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    • v.18 no.3
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    • pp.1-35
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    • 2017
  • This study conducted comparative study on autonomous car's industry policy and corporate strategy of US, China, Germany, Japan and Korea. By analyzing core technologies and industry paradigm shifts of autonomous car industry, I was able to figure out autonomous car has high potential to be dominant transportation in the future and it is important to construct core competency in technology area. The meaningful findings by analyzing various primary and secondary data are as followings: First, in case of US, Google was leading autonomous car industry by developing its own OS and Platform. US government has been actively supporting and interacting with private firms and Universities for stimulating industry/technology convergence and establishing standard. Second, in case of Germany, autonomous car development was leading by several auto makers such as Mercedes, BMW in Hardware and manufacturing area, and German government was focusing on deregulations for private company. Third, in case of Japan which quite similar with German situation, they were both independently developing technology and expanding alliances with MNCs. And Japanese government was supporting triple helix system construction between local companies and universities. Fourth, in case of China, autonomous car industry was leading by IT companies, and various cooperations between IT companies and automakers were established. Chinese government was regulating foreign companies and supporting domestic companies both in market and technologies Last, in Korean case, the active and extensive alliances were lacking in Korean companies while strategic and strong government supports were missing in public sector. For competing with other countries and players, more active collaboration between different countries and strong policy supports are needed in Korean auto industry.

Integrated Platform on the Basis of Heterogeneous Data to Support the Establishment of an Innovative Ecosystem for National High-Performance Computing: Focusing on Life Science & Public Health Area (국가 초고성능컴퓨팅 혁신 생태계 구축 지원을 위한 이종데이터 기반 통합 플랫폼: 생명·보건분야를 중심으로)

  • Do-Yeon Lee;Myoung-Ju Koh;Jae-Gyoon Hahm;Keun-Hwan Kim
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.1
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    • pp.1-14
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    • 2023
  • To secure national future competitiveness, the Korean government announced the 『National Ultra-High Performance Computing (HPC) Innovation Strategy (2021.5.28.)』 and set three innovation strategy goals throughout establishing an innovation ecosystem. This study presented a heterogenous data-based strategic support framework that allowed to understand both the current status of domestic & foreign R&D areas and domestic industrial economy areas in terms of strategic fields related to ultra-high performance computing, and the empirical research was conducted in the life science and public health area. The HPC innovation ecosystem platform based on the connection of heterogeneous data (domestic R&D project-technology-industry-overseas R&D project) presented in this study provided useful and essential information that allowed establishing a specific action plan for the national HPC innovation strategy and contributing to vitalizing the innovation ecosystem. Since the evidence-based policy assumes that a more reasonable consensus is reached through a non-biased decision- making process among stakeholders, the proposed platform may contribute to enhancing policy momentum by increasing legitimacy and trust of planning of the national HPC strategy.