• 중소기업연구
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• 제41권4호
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• pp.1-36
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• 2019

본 연구의 목적은 스마트 팩토리의 전략적 활용을 위한 스마트 팩토리 구축 목적 - 스마트 팩토리 구축내용 - 스마트 팩토리 지속적 활용 간의 관계를 파악하는 것이다. 구체적으로 본 연구는 스마트 팩토리 구축 목적을 두 가지 요인 - (1) 생산성 향상, (2) 유연성 향상 - 으로 구분하고, 이들 각각이 다음의 3가지 측면의 스마트 팩토리 구축내용 - (1) 자동화 영역(설비 자동화, 업무 자동화), (2) 제조 빅데이터 기술 활용영역(생산 프로세스의 재구축을 위한 제조 빅데이터 활용, 생산 프로세스의 점진적 개선을 위한 제조 빅데이터 활용), 그리고 (3) 가치사슬 통합 범위(내부통합, 외부통합) - 에 미치는 영향을 파악하고, 이어서 본 연구는 스마트 팩토리 구축 내용이 스마트 팩토리 지속적 활용에 미치는 영향을 조사하였다. 또한, 기업규모에 따라 스마트 팩토리 구축 목적 - 스마트 팩토리 구축 내용 - 스마트 팩토리의 지속적 활용 간의 관계가 어떻게 달라지는 지를 살펴보았다. 본 연구의 실증분석은 총 151개의 표본기업들을 대상으로 하였다. 표본기업들의 구성은 중소기업 100개사와 대기업 51개사로 구성되었다. 이의 분석결과는 다음과 같다. 첫째, 생산성 및 유연성 향상이라는 스마트 팩토리 구축 목적은 스마트 팩토리의 모든 구축 내용 변수들에 긍정적 영향을 주었다. 둘째, 스마트 팩토리 구축 내용들로서 설비 자동화, 업무 자동화, 생산 프로세스의 재구축을 위한 제조 빅데이터 활용, 내부 가치사슬 통합, 외부 가치사슬 통합은 스마트 팩토리의 지속적 활용에 긍정적 영향을 주었다. 셋째, 스마트 팩토리 구축 목적이 스마트 팩토리 구축 내용에 미치는 영향은 구축 목적이 생산성 향상이냐 혹은 유연성 향상이냐에 따라 차이가 있음을 확인할 수 있었다. 넷째, 기업규모에 따른 조절효과 분석 결과 기업규모에 따라서 스마트 팩토리의 구축 목적과 구축 내용 간에 차이가 있는 것으로 나타났다.

• 한국멀티미디어학회논문지
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• 제13권12호
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• pp.1832-1842
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• 2010

This paper introduces a new automatic processing system: "Contents Factory" for the mass production of contents. Through the contents factory, we provide an authoring environment to improve the usability and the efficiency in producing contents. The contents factory integrates recycling techniques for contents resources, contents development engines, authoring tools, and interfaces into a total processing system. Since it is multi-platform based including mobile devices as well as PCs, one can easily produce complete PC and mobile contents from raw resources. We produced an example, "Sejong square" via the contents factory in order to demonstrate its effectiveness and usability.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.229-234
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• 2024

A smart factory is defined as a cutting-edge, intelligent factory that integrates all production processes from product planning to sales with information and communication technology. Through these factories, each company produces customized products with minimal cost and time. The smart factory promotion project in Korea has produced positive results even in difficult environments such as the COVID-19 situation. Through the transition to a smart manufacturing production system, the competitiveness of small and medium-sized businesses has been greatly strengthened, including increased productivity and reduced costs. This study was based on surveyed data conducted by organizations related to smart factory promotion in 2020. Significant contents and major characteristics that emerged from the surveyed data were inferred and described. Since the meaningful contents reflect the reality of the company, more efficient promotion of smart factories will be possible in the future.

• 한국콘텐츠학회지
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• 제15권2호
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• pp.21-24
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• 2017

• 한국콘텐츠학회논문지
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• 제19권10호
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• pp.407-420
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• 2019

본 연구는 '기업의 환경요인을 통한 기술혁신이 Smart Factory 구축에 미치는 영향'에 대한 실증연구이다. 연구 목적은 Smart Factory를 구축할 때 내부환경이나 중점적으로 추진할 요인을 고려하고 구축하여 Smart Factory의 활용도와 효과를 높이는 것이다. 연구방법은 Smart Factory를 구축한 기업의 관련 인원들에게 설문을 조사하여 SMART PLS로 통계분석 하였다. 연구결과는, 기업 내부 조직 요인과 자기효능감은 기술혁신에 긍정적인 영향을 미치고, 기술혁신은 Smart Factory 구축의 핵심요인에 긍정적인 영향을 미쳤다. 그리고 조절변수인 흡수역량은 기술혁신요인과 상호작용으로 Smart Factory 구축의 핵심요인에 부분적으로 긍정적인 영향을 미쳤다. 본 연구는 Smart Factory를 구축하려는 기업이 활용할 수 있으며, 실증분석을 통한 Smart Factory 구축연구에 이론적 토대를 마련한 의의가 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.203-208
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• 2024

The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.

• International journal of advanced smart convergence
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• 제11권3호
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• pp.42-48
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• 2022

Currently, the world is facing severe inflation due to Corona and the war in Ukraine, and it is causing a lot of difficulties for us. Companies are facing a lot of restrictions on their economic activities compared to the past due to supply chain problems and foreign exchange rates. In this situation, many countries have been implementing various smart factory promotion projects to secure competitiveness through productivity improvement in the manufacturing industry. In this study, the contents of smart factory promotion in major countries were reviewed, and problems raised about the implementation of smart factory in Korea, which are being implemented based on this, were described. It is most reasonable to judge the success of a smart factory by the achievement of the performance indicators presented at the time of the project. Therefore, based on the performance index of the business, which is a key factor in determining the success or failure of a smart factory, we investigated whether the company's smart factory promotion can be carried out successfully through examples

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.171-176
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• 2020

This paper presents an implementation of a gesture recognition platform that can be used in a factory workplaces. The platform consists of signages that display worker's job orders and a control center that is used to manage work orders for factory workers. Each worker does not need to bring work order documents and can browse the assigned work orders on the signage at his/her workplace. The contents of signage can be controlled by worker's hand and arm gestures. Gestures are extracted from body movement tracked by 3D depth camera and converted to the commandsthat control displayed content of the signage. Using the control center, the factory manager can assign tasks to each worker, upload work order documents to the system, and see each worker's progress. The implementation has been applied experimentally to a machining factory workplace. This flatform provides convenience for factory workers when they are working at workplaces, improves security of techincal documents, but can also be used to build smart factories.

• Journal of Biosystems Engineering
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• 제43권1호
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• pp.30-36
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• 2018

Purpose: The objective of this study is to evaluate the effect of cultivation conditions on the growth and glucosinolate content of Chinese cabbage and kale. Methods: Chinese cabbage and kale were grown in three different cultivation conditions, including a plant factory, greenhouse, and open field. Samples were collected at two harvesting times (10 d and 20 d after transplanting the seedlings). Nine growth parameters (plant height, plant width, number of leaves, petiole diameter, SPAD readout, leaf length, leaf width, stem diameter, and plant weight) were measured immediately after harvesting, and the samples were freeze-dried and stored until the glucosinolate content was analyzed. Mean values of the growth parameters and glucosinolate contents were evaluated using Duncan's multiple range tests. Results: The results indicated that the plant parameters of the Chinese cabbage and kale were greater for plants grown in the plant factory and greenhouse. The plant height, width, and weight showed significant differences in the Duncan's multiple range tests at a 5% level. The plant factory also produced greater contents of most of the glucosinolates. Conclusions: Three different cultivation conditions significantly affected the growth and glucosinolate contents of Chinese cabbage and kale. Further study is necessary to investigate other functional components and different vegetable varieties.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.273-278
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• 2022

Uncertainty is increasing around the world due to COVID-19 and Ukraine crisis. In this situation, each company is making countless efforts to survive. In Korea, smart factory projects targeting small and medium-sized businesses with difficulties have been continuously promoted. As for the smart factory business that has been promoted so far, the base expansion of the smart factory is also steadily increasing as the number of companies carrying out the project is increasing. It was also found that it contributed to productivity improvement and quality improvement. Despite these positive aspects, difficulties and operational problems are also appearing in the process of promoting smart factories. In this study, we investigated and analyzed operational problems and difficulties in the process of promoting smart factories. In addition, improvement plans for problems were presented according to the contents of this analysis, and improvement plans were presented by classifying them into introduction and supply companies, considering that the smart factory business is formed in the form of a consortium between introduction and supply companies.