• Electronics and Telecommunications Trends
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• v.39 no.2
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• pp.54-65
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• 2024

This paper examines the trends of AI Foundation Model development and the competition to lead the related ecosystem, which have been rapidly unfolding since the emergence of ChatGPT, focusing on big tech companies in the United States. Based on this understanding of background knowledge, I analyzed and presented the main contents of the initial report reviewed by the UK competition authority, CMA, on potential competition issues that may arise in the process of innovations resulting from FM development. In addition, the trend and background of the CMA's investigation into the OpenAI-Microsoft partnership, whose importance has recently been highlighted, were also explained. It is expected that a reasonable domestic policy plan will be established by referring to these UK policy trends and monitoring & analyzing domestic industries.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.82-92
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• 2024

This paper introduces the technological development trends in on-device SLMs (Small Language Models). Large Language Models (LLMs) based on the transformer model have gained global attention with the emergence of ChatGPT, providing detailed and sophisticated responses across various knowledge domains, thereby increasing their impact across society. While major global tech companies are continuously announcing new LLMs or enhancing their capabilities, the development of SLMs, which are lightweight versions of LLMs, is intensely progressing. SLMs have the advantage of being able to run as on-device AI on smartphones or edge devices with limited memory and computing resources, enabling their application in various fields from a commercialization perspective. This paper examines the technical features for developing SLMs, lightweight technologies, semiconductor technology development trends for on-device AI, and potential applications across various industries.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.193-209
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• 2003

Tourism now stand among the fastest and largest industries in the global economy in the 21 st era, with knowledge information and environment industry. After 1990's, each local government in korea that has been organizing and expanding new and existing festivals, those related locality, natural resources, speciality and ethnic customs. While netizens have increased from the later half of 1990's, the Internet has appeared in it with a main advertizing channel of all industries, especially tourism. Each local county publicizes a local festival and all kind of information while managing its web-site. However, they have lots of difficulties In building local information web sites because of lack of technical and financial resources. This study examined general theories about Internet web sites and local festivals to elicit the previous problems and to suggest the ways to activate local festivals utilizing Internet, based upon analysis of web sites and Internet utilization on local festivals designated by the Ministry of Culture and Tourism as the cultural tour one among local festivals.

• Journal of the Korea Institute of Building Construction
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• v.20 no.2
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• pp.199-212
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• 2020

In evaluating the competitiveness of construction companies and their development strategies, patents are a useful and objective source of technical information. In this study, the cutting-edge technologies of construction industries of China, Japan, and South Korea were investigated based on the data of patent applications filed by a total of 15 construction companies (five companies from each country). The related technologies were classified into six core technology groups based on their keywords. After that, we used four patent analysis methods: time series analysis, IP (Intellectual Property) emergence level analysis, spiral module analysis, and OS (Object-Solution) Matrix analysis, to identify the promising technologies/vacant technologies for global construction companies in China, Japan, and South Korea, and to analyze the technical competitiveness of the three countries. The findings of this study showed that each country can claim a relative technological advantage over the others. Overall, 3D printing and offsite construction technology, data acquisition technology, AR and VR technology are expected to be promising in the Asian region. The present study contributes to the body of knowledge by expanding our understanding of technological innovation for the competitiveness of companies and the technology development strategies pursued by the construction industries of China, Japan, and South Korea.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1021-1029
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• 2010

In 2009 the former three surveys on small and medium enterprises were combined into one survey to reduce the response burden of enterprises. In this report, we study a sample design for 2009 survey on actual state of small and medium enterprises (SMEs). However, the differences between the manufacturing industries and knowledge-based service industries are so large that we need to consider separate populations in the survey. The total sample size is decided as 10,000 in new survey design for integration. We allocate the sample sizes for the first stratum based on CV and then allocate the sample sizes for the second stratum using root proportional formula. Also we calculate survey weights and propose the formula for the estimators as well as standard errors using weights for each characteristic.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.114-122
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• 2003

Dynamic and fragmented characteristics are two of the most significant factors that distinguish the construction industry from other industries. Previous forecasting techniques have failed to solve the problems derived from the above characteristics, and do not provide considerable support This paper deals with providing a more precise forecasting by applying Case-based Reasoning (CBR). The newly developed model in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting, the choice of the numbers of referring projects was investigated. It is concluded that selecting similar projects at $5{\~}6{\%}$ out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

• Architectural research
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• v.8 no.1
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• pp.77-84
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• 2006

In spite of enormous increase in data generation, its practical usage in the construction sector has not been prevalent enough compared to those of other industries. The author would explore the obstacles against efficient data application in the arena of expenditure forecasting, and suggest a forecasting method by applying Case-based Reasoning (CBR). The newly suggested method in the research, enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. Among 99 projects collected, the cost data from 88 projects were processed to establish a new forecasting model. The remaining 10 projects were utilized for the validation of the model. From the comprehensive study, the choice of the numbers of referring projects was investigated in detail. It is concluded that selecting similar projects at 12~19 % out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.117-136
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• 2021

Purpose - The research is aimed at investigating the dynamics of economic cooperation among countries which share historical and genetic affinity. Research design, data, and methodology - The study analyzed historical and genetic affinity after reviewing related thesis data on countries with historical relations studied by domestic historians. After that, it was applied to the method of designating the counterparts for economic cooperation and suggesting economic cooperation measures within a comprehensive range. Results - Economic cooperation with the counterparts should complement the ongoing economic cooperation with each country among their planned national strategies. Korea proposes such matters in a way that cooperates and develops to obtain mutual economic benefits. Among the associated countries, Mongolia is for the underground resource processing industry, Turkey for the investment of companies advancing into neighboring countries, Kazakhstan for the diversification of business centered on the manufacturing industry, Uzbekistan for the modernization and diversification of industrial production, Turkmenistan for the localization of resource-based industries and Export promotion, Hungary for the increase in investment in line with the East-ward policy, Finland is for the cooperation in the knowledge-based industry. Conclusion - This economic cooperation can raise Korea's international status to the next level and further strengthen our voice right in the international community.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.1
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• pp.83-95
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• 2009

This paper provides a general overview and critical assessment of Daedeok Science Town (DST) in Korea, mainly through the lens of the related literature. DST symbolizes the government-led creation of a new science town and represents a bold attempt to consolidate national R&D efforts in a designated area with a view to supplying basic scientific knowledge to industries nationwide. It has achieved considerable success by improving the research environment and promoting venture spin-offs and network formation. However, while DST has played a pivotal role in ushering in the era of the knowledge-based economy, new measures are required for it to remain viable. To this end, efforts should be made to direct government support toward new firm establishment, finance, and tighter networking. DST also needs to host large corporations in the area as these could both act as a market for venture businesses and serve as providers of funds.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.75-82
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• 2020

In this paper, we propose a training method to efficiently create prototypes using 'core mechanical diagram' to make game design easier and 'BluePrint', a visual scripting tool of Unreal that enables relatively easy functionality without programming knowledge. With the development of game engines, game development is becoming faster and easier, and using this, non-programmers without knowledge of game development are clearly showing a tendency to participate in game development. However, existing game development methodologies and game implementation methods require complex design processes and specialized knowledge. In order to make it easier for non-programming experts to develop games, they will simplify the complexity of existing game development methodologies, and propose educational methods that can focus on and implement the essence of game design based on cases where non-programmers have implemented prototypes themselves.