• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5971-5978
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• 2013

The aim of the study is to suggest the development type and the land-use model of smart green multi complexes focused on the lesson for future smart green complex in Korea. For the study, the concept and the development aspects are reviewed as a theoretical research and the development types of smart green multi complexes are surveyed based on its functional distribution. The types of multi-complexes are classified in three categories of small city, neighborhood and small housing estate regarding its size. As a result of the research, the land-use model of smart green multi complexes according to its types are suggested under consideration of Korean situation.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.49-56
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• 2023

The purpose of this study is to verify the mediating effect of career adaptability in the relationship between growth mindset and occupational engagement. A total of 203 data were collected through an online survey targeting university students. For data analysis, frequency analysis and descriptive statistics analysis were used via SPSS 25.0 and AMOS 25.0 software. As a result of the study, growth mindset had a direct effect on occupational engagement (𝛽=.254, p<.01) and the mediating effect of growth mindset on occupational engagement through career adaptability was also statistically significant. (𝛽=.137, p<.01). This study suggests that it is important to promote occupational engagement for students' correct career guidance, and to this end a practical strategy for cultivating a growth mindset and career adaptability is needed.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.165-170
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• 2021

This study analyzed the effect of housing price changes on the performance of Korean regional banks using DOLS model. The analysis shows that housing price changes does not have a statistically significant effect on the loan growth, profitability and soundness of regional banks. Among macroeconomic variables, only short-term interest rates have a significant positive effect on any model. This means that a rise in short-term interest rates significantly increases loans by regional banks, which leads to a significant increase in profitability, but has a significant negative impact on soundness. On the other hand, bank characteristics variables are found to have a significant negative effect on the loan growth, profitability and soundness of Korean regional banks.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1128-1141
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• 2009

Graphical expressions are continuously improving, spurred by the astonishing growth of the game technology industry. Despite such improvements, users are still demanding a more natural gaming environment and true reflections of human emotions. In real life, people can read a person's moods from facial color and expression. Hence, interactive facial colors in game characters provide a deeper level of reality. In this paper we propose a facial color adaptive technique, which is a combination of an emotional model based on human emotion theory, emotional expression pattern using colors of animation contents, and emotional reaction speed function based on human personality theory, as opposed to past methods that expressed emotion through blood flow, pulse, or skin temperature. Experiments show this of expression of the Facial Color Model based on facial color adoptive technique and expression of the animation contents is effective in conveying character emotions. Moreover, the proposed Facial Color Adaptive Technique can be applied not only to 2D games, but to 3D games as well.

• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.73-90
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• 2023

This research examines the impact of robotics integration on job dynamics in the U.S. manufacturing sector, adding to the critical dialogue on technological evolution and the future of jobs. Anchored in the task-model framework, the study hypothesizes that robotic integration exerts differential influences on diverse occupational clusters, each identified by their unique task-specific attributes. An in-depth examination was undertaken to elucidate the interplay between robotic integration and the occupation clusters. Employing a multilevel growth curve model, our empirical investigation tracked employment dynamics from 2012 to 2022 across 52 U.S. regions, covering 307 manufacturing occupations. The findings suggest a pronounced job decline within occupations necessitating manual dexterity. Nonetheless, the evidence does not conclusively support that the extent of robotics integration exacerbates this trend. These findings imply that the employment shifts in the U.S. manufacturing sector are predominantly driven by long-standing trends of deindustrialization and functional specialization, rather than by the recent diffusion of robotic technologies.

• Journal of Korean Society of Transportation
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• v.15 no.3
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• pp.75-92
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• 1997

추월가능성을 판단하기 위해서 앞을 바라볼 수 있어야 하는 거리를 추월시거라 한다. 적절한 추원시거의 확보는 2차선 도로의 효율성과 운전자의 안전성 제고 및 도로설계시 매우 중요하다. 이러한 목적을 위하여 추월시거를 산정할 수 있는 여러 모형이 개발되었으나, 실제 교통상황을 반영하기에 많은 문제점을 안고 있음이 지적되고 있다. 따라서 본 논문은 기존 모형들의 이론적 배경을 고찰하고, 각 모형의 단점과 한계를 파악하여, 운전자의 실제 추월형태를 고려한 새로운 추월시거산정모형을 개발하는데 주안점을 두고 있다. 본 논문에서 개발한 PASS모형은 현재 미국에서 도로설계시 기준으로 사용되고 있는 AASHTO모형을 보완하여 구축하였다. 기존의 모형들은 서로 다른 조건을 가정하여 개발되었기 때문에 각 모형들의 추월시거 산정값을 비교분석하는데 어려움이 있다. 하지만 PASS모형은 운전자의 반응시간, 차량의 길이, 차량의 가속능력 등 실제 추월시거 산정시 반드시 고려해야 할 중요한 요소들을 특성치로 반영할 수 있게 함으로써 다양한 추월 상황과 현실적인 교통상황을 폭넓게 수용할 수 있는 장점을 갖고 있다. 본 논문에서는 새로 개발한 P SS모형을 이용하여 얻은 결과와 기존의 AASHTO모형, MUTCD모형, Glennon모형을 통해 얻은 결과를 비교하였으며, PASS모형에 우리나라 현실에 적합한 특성치를 적용하여 2차로 도로의 추월시거를 산정하였다. 이 결과 현재 우리나라 도로용량편람에서 제시하고 있는 추월기능구간 기준인 450m가 설계속도가 낮은 일반국도에는 타당함을 확인할수 있었다. 그러나, 설계속도가 높은 화물타의 운행빈도가 높은 고속국도의 경우, 재검토가 필요할 것으로 판단된다.기존의 광유계 윤활제에 비하여 대단히 고가하는 문제점을 갖고 있다. 그러나 윤활 마찰면의 다양화와 가혹한 사용조건은 자성유체 윤활제의 연구개발 필요성을 크게 증대시키고 있다.xed Effects Model)을 결정하고, 각각에 해당하는 통계모형을 구축하였다. 이 결과 (1) 업종 및 기업규모별로 그룹간에 유의한 특성이 발견되었으며, (2) R&D 및 광고투자는 기업의 시장성과를 설명하는 중요한 변수이나, (3) R&D 투자의 경우는 광고에 비해 불확실성이 존재하는 것으로 나타났고, (4) 수리모형에서 도출된 한계원리가 통계모형에서도 유효한 것으로 드러났다.등을 토대로 한 10대 산업을 육성하기 위하여 과학기술부는 기술수요조사를 바탕으로 49개 주요기술을 도출하여, 과학기술 일류 국가 실현, 국민소득 2만불 달성이라는 국가적 슬로건을 내걸고 “차세대 성장동력” 창출을 위한 범정부차원의 기획과 연구비의 집중투자를 추진하고 있다.달성하기 위해서는 종합류류 전산망의 시급한 구축과 함께 화물차의 적재율을 높이고 공차율을 낮출 수 있는 운송체계의 수립이 필요한 것으로 판단된다. 그라나 이러한 화물전용차선의 효과는 단기적인 치유책일 수밖에 없기 때문에 물류유통 시설의 확충을 위한 사회간접자본의 구축을 서둘러 시행하여야 할 것이다.으로 처리한 Machine oil, Phenthoate EC 및 Trichlorfon WP는 비교적 약효가 낮았다.>$^{\circ}$E/$\leq$30$^{\circ}$NW 단열군이 연구지역 내에서 지하수 유동성이 가장 높은 단열군으로 추정된다. 이러한 사실은 3개 시추공을 대상으로 실시한 시추공 내 물리검층과

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.349-357
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• 2017

The environmental problems affecting marine resources and slow growth in the fisheries industry is causing many countries to look for alternative inputs that can boost the fisheries sector. This study focuses on the effects of technological innovation in the fisheries industry on the gross domestic product (GDP) per capita across Organization for Economic Cooperation and Development (OECD) countries. Using a panel dataset, this study attempts to estimate the different effects of technological innovations in the fisheries industry from country to country using the differences-in-differences (DiD) method. After the DiD method, the Granger causality test is applied to determine the interactive relations between economic growth and the selected variables associated with technological innovation in the fisheries industry, such as government spending on fisheries R&D, the number of patents in fisheries, and employment. The results obtained from the DiD estimation show that government spending on fisheries R&D, fisheries technology development, and fisheries employment positively influences the GDP per capita across OECD counties. From the causality test, we found different bi-directional causal relationships between the GDP per capita and (spending) on fisheries technology development across countries.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.353-367
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• 2003

본 연구에서는 중소기업들이 중견기업으로 성장할 때까지 필요로 하는 경영, 자금, 기술, 마케팅, 물류 등 Total Solution 차원의 중소기업지원시스템 중 마케팅ㆍ유통과 관련 협력상거래(collaborative commerce)라는 개념을 도입하여 오프라인과 온라인이 결합되어 대전ㆍ충남 중소기업간의 협력, 제휴를 지원하고, 나아가 대기업, 학계, 벤처캐피탈들이 참여하여 교류할 수 있는 정보공유와 만남의 장을 제공함으로써, 협력상거래 포탈 사이트를 구축하기 위한 이론적 모형을 제시ㆍ구축하고자 한다. 협력상거래 포탈의 기술적 정의는 중소기업간에 인터넷을 통하여 마케팅ㆍ유통과 관련한 기업핵심정보와 비즈니스 프로세스를 공유함으로써 효율적인 협업 전자상거래를 가능하게 하는 모든 기술적 요소의 집합이라 할 수 있다. 협력상거래 포탈의 협업적 프레임워크 기능 요구사항은 \circled1Integration of product ＆ process information, \circled2Extensibility and flexibility of framework, \circled3Platform independence, \circled4Interdependence and modularity of services, \circled5Interoperability among services, \circled6Accessibility of legacy system(ERP, SCM, CRM) 등이다.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.16 no.4
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• pp.507-514
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• 2018

Technology-intensive industries can be used as a major growth engine for resource poor country in the territories. For example, in the case of Korea, nuclear power and radiation technology industry was highly developed, and it was possible to obtain national interests such as solving energy problems within the country and exporting nuclear power plants. On the other hand, there are cases where national damage is caused by erroneous governmental policy-making on technology-intensive sectors. In this study, we analyzed cases of misguided governmental policy-making for technology-intensive industry and three factors were identified. And we tried to develop a rational policy-making model using three types of allison's model in combination. The results of this study are expected to be useful for rational governmental policy-making processes for technology-intensive industries.

• Journal of Technology Innovation
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• v.29 no.3
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• pp.91-119
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• 2021

The importance of industrial policy and innovation policy perspectives on public procurement has recently been highlighted. In particular, there have been discussions and studies on whether public procurement directly affects the growth and innovation of SMEs. As an extension of this study, this study analyzes whether the age of a firm moderating the effect of public procurement on growth among the characteristics of firms participating in public procurement. The analysis data was constructed by matching the financial data of about 1,247 firms designated as excellent products by the Public Procurement Service(PPS) from 2006 to 2017 and the public procurement sales. As a result of analysis through the panel regression model, firms with a greater degree of public procurement showed a higher growth rate, and this relationship was stronger with younger firms. This result not only contributes to the existing academic discussion on the effectiveness of public procurement, but also has significance in the establishment of public procurement policy.