• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.215-235
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• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.1
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• pp.87-94
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• 2016

Although studies and investments on electro-magnetic fields in terrestrial areas are being conducted, they are not applied to a ship. Especially ship is consist of Top Side, Bridge, and Engine Room. Top Side is mounted Antenna and radar. Bridge is mounted navigation and navigation equipment that have a safe voyage. Finally, Engine Room is mounted switchboard and this is used to ship propulsion system. Therefore the purpose of this paper is for suggesting optimized standard to apply to marine environment through analyzing electromagnetic wave environment in ship. For this, we were measured EMF in Hanbada ship in Korea Maritime and Ocean University and we compared and analyzed to measured values in Korea standards and international standards. Consequently, Engine Room of ship for the identified that there are limits to apply. The proposed results of this research will be expected to utilize for establishing standard a plan for EMF in ship.

• Journal of Korean Library and Information Science Society
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• v.38 no.4
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• pp.441-462
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• 2007

As country try expand R&D investment and enhance its efficiency to improve the national competitiveness, research is needed to conduct qualitative enhancement and derive progressive future strategy in relation to the academic information distribution project in scientific technology field. In this study, BSC-based performance indicators were applied to an institute that is the representative of domestic academic information distribution institutes in the field of scientific technology to evaluate project performance, and then to analyze portfolio of using such evaluation results. As for the items of evaluation for the performance indicators of academic information distribution project in the scientific technology field, 12 items that includes information resource quality, information service quality, user satisfaction and economically useful value of academic information from four(4) viewpoints such as information resource, information service, user and economic viewpoints. In the portfolio analysis, it was conducted by performance indicators and by elements of the individual performance indicators as well. Based on the results of performance evaluation and portfolio analysis, the improvement method by viewpoints on academic information distribution project of an institute was suggested.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.120-125
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• 2010

The priority job training program is one of key training programs in Korea. This training program has some fundamental problems. The process of selecting the detailed training jobs does not reveal the true training demand of industry sectors. The contracting-out process and control mechanism of the priority job training program show several weaknesses from the points of success conditions of contracting-out public services. In this paper, I proposed development strategies of the priority job training program. The contract period should be longer than one year so that the training institutions may invest for improving quality of training in the longer perspective and reduce transaction costs. The training fee pay mechanism should be more performance-based.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.5
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• pp.458-463
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• 2005

The total asset management system is used for banks or financial institutions for the management of trusteed assets or own assets and it is divided into three systems: the front-office system, the middle-office system and the back-office system by its business areas and functionalities. This kind of asset management system is a huge and complex system handling large data and various financial products, and requires professional knowledges like accounting, financial product specific knowledge, compliance and regulations, etc. It also performs high level computation for NAV calculation and risk measurement on every day Therefore, it needs absolute stability, extendability and efficiency and should handle the frequent change of regulation and products and connectivity with outdoor institutions. In this paper, we report our successful development of such a system and discuss issues regarding its efficient system design and system construction.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.01-09
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• 2022

Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.95-108
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• 2020

A coronavirus disease 2019 (COVID-19) is a new global health problem. The Korean government is pursuing to gain its future growth engines and promoting short-term economic stimulation by investing in research and development (R&D) to improve national technological capabilities that can respond to the spread of the global epidemic. It is required to need knowledge information to establish the direction of future national planning thru understanding the status quo of R&D investment in terms of research fields. Four corona-related R&D fields were drawn on the basis of analyzing major nations' R&D funding data (USA, EU etc.) and two differentiated R&D fields were added through comparative analysis with domestic R&D projects. Domestic and foreign research organization-the research title-the scale of the research funding-the project period were presented in terms of the suggested 6(7 details) R&D research fields. Meanwhile R&D projects that have featured in the convergence of interdisciplinary were provided. This study proved the excellence of coronavirus detection and on-site diagnostic capabilities that are currently globally highlighted by deriving differentiated research fields from the domestic competitive advantage fields related to corona viruses and also suggested intensive investment research fields.

• Journal of Legislation Research
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• no.55
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• pp.193-237
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• 2018

The recent surge in the ISD lawsuit filed against the Korean government is likely to cause major domestic confusion. This is because in most cases, foreign investors have claimed billions of won in damages filed against Korea in the ISD lawsuit. Public opinion will be generated to abolish the ISD lawsuit system, which is included in the international investment agreement, when a decision comes out in the Elliott/Mason case or Lone Star case, which has already been completed by the hearing. It is clear that the ISD clause, which is commonly included in most of the BITs, FTAs, can be a limiting factor in the government's public policy, as shown by many investment disputes. However, it is not necessary to have a negative view of the ISD clause itself, given that it is a system that can protect Korean investors from illegal and inappropriate actions by local governments. Since Korea already allows the system of ISD lawsuits with many countries through FTAs and BITs, and negotiations are underway to sign FTAs with new countries, the possibility that foreign investors will refer to the ISD proceeding further to our government's public policy will increase. In order to prepare for an ISD lawsuit, the Korean government has launched a response team consisting of government practitioners, private scholars, and legal professionals in the central government ministries to review major legal issues that are controversial in the cases of the ISD. In particular, local governments and public institutions, which fail to recognize the importance of international investment regulations and ISD clause, need to share and train relevant information so that all processes for public policy planning and implementation comply with international investment rules such as BITs and FTAs.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.85-100
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• 2023

Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.22 no.8
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• pp.5-12
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• 2004

최근 국.내외적으로 e-learning에 관한 관심이 증대되면서 e-learning과 관련된 많은 연구가 진행되고 있다. 또한 정부의 관련 부처들도 e-learning 발전을 위한 다양한 노력이 시도되고 있으며, 이러한 노력은 관련법을 제정하거나, 전문 기관을 신설하고, 각종 지원 제도를 정비하는 등 다각도로 구체화되고 있다. 산업계에서도 e-learning 시장을 선점하기 위하여 많은 투자와 활동들이 전개되고 있으며, e-learning을 통한 교육 시장 또한 급속히 활성화되고 있기도 하다. 이와 함께 대학이 이미 e-learning 체제를 기반으로 하는 대학내 교수학습센터 등을 설립하여 활발하게 운영하기 시작하였다. 이에 따라 e-learning의 국내시장 규모는 2002년도에 1조 7천억원 규모에 달하였으며, 2003년도에는 2조 5천억원으로 전체 교육시장의 4.5%를 차지하였다는 보고도 있다.