• 국제지역연구
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• 제18권3호
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• pp.205-229
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• 2014

글로벌 생산 네트워크는 다국적기업들이 전략적으로 자사의 가치사슬을 단계별로 분리하여 다양한 지역으로 이전시키면서 나타나기 시작하였다. 글로벌 생산 네트워크는 자재, 부품, 소재, 그리고 완제품의 빈번한 운송을 수반하고, 신속하고 효율적인 운용을 요구하기 때문에 역외보다는 통합된 지역 내에서 더욱 발달하였다. 여러 해의 자료를 심층 분석한 결과, 해당 지역 내에서 고부가가치 상품의 생산에 비교우위를 지닌 선진국들은 ICT 부품과 소재의 생산에 특화하며 높은 수출 현시비교우위지수를 보였다. 반면에 노동집약적인 조립 공정에 비교우위를 가진 개도국들은 높은 수입 현시비교우위지수를 보여주었다. 일부 개도국들은 글로벌 생산 네트워크 참여를 통해 꾸준히 기술역량을 제고하면서 산업구조 고도화 발전을 이룰 수 있었음 또한 자료 분석 결과 알 수 있었다. 동아시아 국가들은 다양한 요인들로 인해 EU나 NAFTA 지역 국가들에 비해 글로벌 생산 네트워크에 많이 참여하였는데, 해당 국가들의 ICT 분야 기술발전 속도 및 수출의 빠른 증가세가 보여주듯이 동아시아 국가들은 글로벌 생산 네트워크 참여로 크게 수혜하였다. 그러나 이는 결과적으로 ICT 부품과 소재 산업에 있어서 글로벌 생산 네트워크의 지역별 구축 정도에 상당한 불균형을 야기하였음을 확인할 수 있었다.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.235-241
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• 2020

Artificial intelligence and machine learning are used in many parts of our daily lives, but the basic processes and concepts are barely exposed to most people. Understanding these basic concepts is becoming increasingly important as kids don't have the opportunity to explore AI processes and improve their understanding of basic machine learning concepts and their essential components. Machine learning educational tools can help children easily understand artificial intelligence and machine learning. In this paper, we examine machine learning education tools and compare their features.

• 전자통신동향분석
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• 제35권4호
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• pp.42-52
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• 2020

The world's first 5G commercial service started in Korea in April 2019. This makes us proud of our status as an ICT powerhouse, and of the domestic optical network industry ecosystem that has served as a lever to make this significant leap forward in technological and industrial competitiveness. Above all, Japan's trade regulations on core parts and the COVID-19 pandemic have led to new changes across cultures, societies, and economies, and 5G networks have become important. The relevant technology for core material parts is a major concern not only of a few industries, but an entire section of society in terms of national competitiveness. In this article, we discuss the role of industries through the analysis of prospects of optical component technology with regard to the changes in the economic and social paradigm caused by the COVID-19 pandemic and Japan's export regulations.

• 자원리싸이클링
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• 제27권3호
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• pp.16-29
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• 2018

본 연구에서는 대표적인 ICT 기기인 스마트폰과 노트북 PC 내 존재하는 금속 및 비금속의 함유량과 가치를 평가하였다. LG와 삼성에서 제조한 스마트폰과 노트북 PC를 인쇄회로기판, 배터리, 디스플레이, 케이스, 그 외 기타 부품 등 5개 파트로 분리하였다. 각 파트에 존재하는 금속 및 비금속의 함유량을 분석한 후 이에 2017년 평균 금속 거래 가격, 국내 재활용 시장에서의 플라스틱 및 유리의 거래 가격을 곱하여 각 파트의 자원화 가치를 산출하였다. 이로부터 각 파트 내 금속 및 비금속의 질량 비율과 가치 비율을 구하고 최종적으로 각 기기 내 금속 및 비금속의 질량 및 가치 비율을 산정하였다. 그 결과, LG의 스마트폰과 노트북 PC가 각각 4,449.6원(28,506원/kg), 6,830.2원(7,053원/kg), 삼성의 스마트폰과 노트북 PC가 1,849.3원(13,499원/kg), 6,667.5원(4,831원/kg)의 자원화 가치를 가지는 것으로 나타났다. 대부분의 가치는 배터리와 인쇄회로기판에 집중되어 있는 것으로 분석되었고 Co, Au, Cu 등이 주요 가치있는 자원인 것으로 확인되었다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.91-100
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• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.637-657
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• 2021

While the conventional vehicle's Head-Units played relatively simple roles (e.g., control of heating ventilation and air conditioning, the radio reception), they have been evolving into vehicle-driver interface with the advent of the concept of Connected Car on top of a rapid development of ICT technology. The Head-Unit is now successfully extended as an IVI (In Vehicle Infotainment) that can operate various functions on multimedia, navigation, information with regards to vehicle's parts (e.g. air pressure, oil gauge, etc.). In this paper, we propose a platform architecture for IVI devices required to achieve the goal as a connected car. Connected car platform (CoCaP) consists of vehicle selective gateway (VSG) for receiving and controlling data from major components of a vehicle, application framework including native and web APIs required to request VSG functionality from outside, and service framework for driver assistance. CoCaP is implemented using Tizen IVI and Android on hardware platforms manufactured for IVI such as Nexcom's VTC1010 and Freescale's i.MX6q/dl, respectively. For more practical verification, CoCaP platform was applied to an real-world finished vehicle. And it was confirmed the vehicle's main components could be controlled using various devices. In addition, by deriving several services for driver assistance and developing them based on CoCaP, this platform is expected to be available in various ways in connected car and ITS environments.

• 산업경영시스템학회지
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• 제44권4호
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• pp.208-219
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• 2021

In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

• 한국정보통신학회논문지
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• 제21권8호
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• pp.1611-1618
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• 2017

최근 해양 환경에서 국방과 관련한 임무를 수행하는 무인수상정(USV, unmaned surface vehicle)의 개발이 활발히 이루어지고 있다. 무인수상정이 해양 환경에서 성공적인 임무를 수행하기 위해서는 선체부, 추진시스템, 조향시스템, 제어시스템, 전원시스템 등을 포함하는 원격/자율 무인수상정 플랫폼이 필수적으로 요구된다. 기존 무인수상정은 기계식 제어 방식을 채택하고 있었지만, 이는 중량 등 여러가지 측면에서의 제약을 가진다. 이러한 문제점을 보완하기 위하여 본 논문에서는 무인수상정의 플랫폼 장비를 전자적으로 제어하기 위한 시스템을 개발하고, 개발한 시스템을 실험하여 유용성을 검증하는 것에 관한 내용을 다룬다. 이를 위해서 제어 명령에 따라 엔진, 워터젯, 전원 등 플랫폼 장비를 제어하기 위한 주 제어 시스템과 엔진 제어장치, 워터젯 제어장치, 전원 제어장치에 관한 시스템 아키텍처를 설계하고, 각 구성 요소를 개발한다. 또한, 개발한 시스템의 수조 실험 및 검증을 위하여 엔진 및 워터젯의 각 구성 요소를 포함하는 테스트베드를 설계 및 제작하였고, 이를 기반으로 실험을 수행하여 개발한 시스템의 유용성을 검증하였다.

• Journal of Platform Technology
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• 제8권1호
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• pp.24-32
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• 2020

본 논문은 SMT라인의 핵심 기술인 칩마운터의 보급을 위해 교육연구용이나 샘플제작을 목적으로 사용이 가능한 3D 프린터 기술기반의 칩마운터를 설계하고 제작하였다. 저가형 구동부 설계를 위해 오픈루프제어가 가능한 스텝모터를 사용하였다. 스텝모터 사용으로 발생하는 모터의 진동, 탈조 등의 특성상 단점은 마이크로스텝제어 방법을 이용하여 보완하였다. 칩마운터 실험은 제작한 소형 칩마운터에 거버파일을 생성하고 실제 크기로 프린트하여 샘플보드 제작과 동일한 방법으로 HASL 처리되어 있는 PCB에 솔더크림을 프린팅한 후 부품을 실장하여 여러 번 반복해서 수행하였다. 실험결과 2012 미소부품과 달리 보정이 필요한 SOIC, TQFP 등의 부품은 부품 실장 시간이 2배정도 길었지만 비교적 정확히 실장되는 것을 확인할 수 있었다. 또한, 초기 위치에 대한 오차를 총 10회에 반복하여 측정한 결과 약 0.110mm의 비교적 적은 오차가 발생함을 확인할 수 있었다.

• Journal of Biosystems Engineering
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• 제43권1호
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• pp.72-80
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• 2018

Purpose: A modern greenhouse consists of various Information and Communications Technology (ICT) components e.g., sensor nodes, actuator nodes, gateways, controllers, and operating softwarethat communicate with each other. The interoperability between these components is an essential characteristic for any greenhouse control system. A greenhouse control system could not work unless the components communicate via common interfaces. The TTAK.KO-06.0288 is an interface standard consisting of four parts. Notably, TTAK.KO-06.0288-Part3, which describes the interface between a greenhouse operating system (GOS) and a greenhouse control gateway (GCG), is the core standard of TTAK.KO-06.0288. The objectives of this study were to analyze the TTAK.KO-06.0288-Part3 standard, to suggest alternative solutions for identified issues, and to develop a library as a proof of the alternative solutions. Methods: The "data field" was analyzed using a comparative analysis method, since it is a data transmission unit of TTAK.KO-06.0288-Part3. It was compared with other parts of TTAK.KO-06.0288 in terms of definition, format, size, and possible values. Although TTAK.KO-06.0288-Part1 and TTAK.KO-06.0288-Part2 do not use a "data field," they have a similar data structure. That structure was compared with the "data field" of TTAK.KO-06.0288-Part3. Results: Twenty-one issues were identified across four categories: inter-standard issues, intra-standard issues, operational issues, and misprint issues. Since some of the issues can raise interoperability problems, 16 alternative solutions were suggested. In order to prove the alternative solutions, an open-source communication library called libtp3 was developed. The library passed 14 unit tests and was adapted to two research. Conclusions: Although TTAK.KO-06.0288-Part3 is an interface standard for communication between a GOS and a GCG, it might not communicate between different implementations because of the identified issues in the standard. These issues could be solved by the alternative solutions, which could be used to revise TTAK.KO-06.0288. In addition, a relevant organization should develop a program for compatibility testing and should pursue test products for smart greenhouses.