• 한국산업정보학회논문지
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• 제27권4호
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• pp.65-79
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• 2022

본 연구는 스마트제조 관련 국내·외 특허 데이터와 토픽모델링 방법을 활용하여 스마트 제조 관련 기술의 세부 영역을 식별하고 해당 영역에서 미국, 일본, 독일, 중국, 한국 등 주요국의 기술 개발 동향을 비교하였다. 이를 위해 1991년부터 2020년 사이에 미국과 유럽에서 출원된 특허를 수집하고 특허 초록을 가공한 후, LDA 모형을 적용해 토픽을 식별하였다. 연구 결과, 스마트제조 관련 기술의 세부 영역은 크게 7개로 구분되며 글로벌 차원에서는 최근 '데이터 처리 시스템 관련 기술'과 '열·유체 관리 기술'의 기술 개발 비중이 상당히 높아지고 있는 것으로 나타났다. 주요국과 한국의 기술 개발 동향을 비교한 결과, '열·유체 관리 기술' 분야에서 상대적인 강점이 있다는 점을 고려하면 국내 주력산업인 중화학 제조업과 연계한 스마트제조 관련 연구개발 및 관련 산업의 육성 추진 전략이 효과적일 것으로 보인다. 본 연구는 기존 정성적 기술 수준 평가의 한계를 극복하고, 텍스트마이닝 기법을 적용한 기술 역량 평가 방법론을 제안하였다는 측면에서 의의가 있다.

• KDI Journal of Economic Policy
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• 제37권3호
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• pp.75-106
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• 2015

The primary goal of this paper is to explore the microeconomic foundation of Korean firms' adoption of foreign technologies. The paper also reviews the overall trend of international technology transfers to Korea. The period covered in this paper is Korea's high growth era, from the 1960s to the 1990s. The works of this paper center on the two questions of what characterizes foreign technologies which had been imported through licensing contracts, and which driving forces expedite technology adoption by firms. The Korean experience provides the context of success in the catch-up growth. The co-movement of technology imports with capital goods imports manifests Korea's effort to improve the technical efficiency toward the world frontier. Underlying this trend are firms' decisions to adopt new technologies. The paper shows that firms respond proactively to wage increases by adopting newer technologies and thus, in turn, increasing employment, which implies the existence of a virtuous interactive mechanism among these factors.

• Journal of Information Technology Applications and Management
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• 제26권2호
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• pp.13-26
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• 2019

The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

• Asia pacific journal of information systems
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• 제11권4호
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• pp.1-25
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• 2001

Manufacturing firms face a paradigm shift from industrial systems driven by efficiency to post-industrial systems where success depends on a quick-response to customer demands for a variety of high-quality products. In essence, time is becoming a critical dimension for competition. New information technologies allow many firms to pursue time-based competitive strategies. The purpose of this research is to investigate the relationship among the types of information technology, behaviors of suppliers, the structures of new product development processes, and the competitiveness of the firms. The data for this study were collected from 96 Korean manufacturing firms that have implemented certain types of information technologies. Research results from LISREL analysis confirm that the competitiveness comes from product innovation capabilities and innovative product development process. But the linkage between the information technologies and the firms' competitiveness proves to be indirect. Suppliers, organizational culture related to IT, and some other factors also have indirect impact on the competitiveness. A summarized report of other findings is provided as well.

• 한국멀티미디어학회논문지
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• 제25권2호
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• pp.197-205
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• 2022

The Cyber Physical System(CPS) is an important concept in achieving SMSs(Smart Manufacturing Systems). Generally, CPS consists of physical and virtual elements. The former involves manufacturing devices in the field space, whereas the latter includes the technologies such as network, data collection and analysis, security, and monitoring and control technologies in the cyber space. Currently, all these elements are being integrated for achieving SMSs in which we can control and analyze various kinds of producing and diagnostic issues in the cyber space without the need for human intervention. In this study, we focus on implementing a production equipment monitoring system related to building a SMS. First, we describe the development of a fog-based gateway system that links physical manufacturing devices with virtual elements. This system also interacts with the cloud server in a multimedia network environment. Second, we explain the proposed network infrastructure to implement a monitoring system operating on a cloud server. Then, we discuss our monitoring applications, and explain the experience of how to apply the ML(Machine Learning) method for predictive diagnostics.

• 마이크로전자및패키징학회지
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• 제30권2호
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• pp.33-42
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• 2023

전기자동차 산업은 전 세계적 환경규제 정책과 더불어 각 국 정부의 지원이 맞물려 성장이 가속화 되고 있다. 따라서 전기자동차용 배터리에 대한 수요는 지속적으로 증가할 것으로 예상된다. 전기자동차 배터리 시스템은 다수의 배터리 셀 및 모듈을 전기적으로 연결시켜 하나의 배터리 팩으로 적용된다. 이러한 배터리 셀 및 모듈을 접합하는 기술은 성능, 용량 및 안정성에 직접적인 영향을 주기 때문에 매우 중요하다. 따라서 기계적, 전기적 특성 등 여러 기준들을 고려하여 견고하게 조립되어야 한다. 각각의 접합 기술은 서로 다른 장점과 한계를 가지고 있으며, 배터리 셀에 적용할 때에는 몇 가지 기준이 고려되어야 한다. 본 논문에서는 다양한 배터리 셀 형태에 따른 접합기술의 적용 현황을 조사하고, 저항 용접 및 레이저, 초음파 등 대표적 접합기술에 대한 특징과 장단점을 제공하고자 한다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2009년도 제33회 추계학술대회논문집
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• pp.608-612
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• 2009

30톤급 액체로켓엔진 연소기 개발 기술을 바탕으로 75톤급 기술검증용 연소기 시제품을 제작하였다. 시제품 제작에서 검증하고자 하였던 일부 기계가공 공정 및 접합 기술들은 75톤급 연소기에서도 동일하게 적용할 수 있음을 확인하였다. 새롭게 설계된 연소기 헤드부는 새로운 공정을 적용하여 제작하였다. 기술검증용 시제품을 통해 확립된 공정 및 기술들은 대형 액체로켓엔진 연소기 제작 기술의 신뢰성을 향상 시킬 것이다.

• 지식경영연구
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• 제12권1호
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• pp.39-52
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• 2011

Many LCD manufacturers continue to develop the technologies of LCD manufacturing processes for the reduction of production cost, power consumption and high-resolution. The LTPS (Low Temperature Polycrystalline Silicon) crystallization technology is important for rearranging the internal structure of liquid crystal grain by adding certain energy to amorphous silicon and turning it into poly-silicon in order to manufacture LCD with better performance. We consider 14 existing technologies of LTPS crystallization in the LCD manufacturing and present an intelligent analysis methodology using patent map and AHP (Analytic Hierarchy Process) analysis for determining an optimal LTPS crystallization technology. By using patent map analysis, we easily understand the development process and mega-trend of LTPS crystallization technologies and their relationship. By using AHP analysis, we evaluate 14 LTPS technologies. Through the use of proposed methodology, we determine the Continuous Wave Laser Lateral Crystallization technology as an optimal one.

• Composites Research
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• 제26권3호
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• pp.155-159
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• 2013

연속 섬유의 펼침에 대한 기술 현황 및 이의 적용에 대해 본 연구에서 정리되었다. 이론적 접근을 통해 연속 섬유 펼침의 효과를 소개하였고, 섬유 펼침 수단과 섬유 펼침 장치의 공정 상 위치를 기준으로 연속 섬유의 펼침에 대한 기술을 분류 정리하였다. 또한, 각 기술의 일반적인 섬유 펼침 원리, 기술적용 및 기술의 장 단점에 대해 소개하였으며, 향후 연속 섬유의 펼침에 대한 기술 연구 방향에 대해서도 고려되었다.

• 한국정밀공학회지
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• 제23권11호
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• pp.68-77
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• 2006

Nowadays, the increasing global competition forces automobile manufacturer to increase quality and to reduce the cost and time for manufacturing planning. To solve these problems, automobile manufacturers try to apply digital manufacturing technologies. In this paper, a concept of method for planning the digital assembly system is proposed. Based on the requirements of assembly tasks obtained through product analysis, the function and sequence modeling for assembly process is executed using the IDEF0 and UML model. For implementation of digital assembly system, the selected components are modeled by using 3D CAD tools. According to the system configuration strategy, lots of the alternative solutions for the assembly system are generated. Finally, the optimal assembly system is chosen by the evaluation of the alternative solutions with TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) method. According to proposed procedure, digital laser welding system is implemented in DELMIA.