• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2019년도 추계학술대회
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• pp.125-126
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• 2019

스마트농장과 스마트양식장으로 구분하여 첨단 정보통신기술(ICT), 사물인터넷(IoT), 인공지능(AI) 그리고 빅데이터 등이 적용된 국내외 스마트농장과 스마트양식장 사례와 해수를 이용한 해수온실의 사례 그리고 플로팅 팜과 스마트 플로팅 팜의 계획안 및 실제 사례를 분석했다. 사례분석을 통해 스마트 플로팅 팜에 적용되는 다양한 종류의 시스템을 분류하여 해수복합형 시스템 개념을 도출해냈다.

• 재활복지
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• 제18권4호
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• pp.221-235
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• 2014

최근 급속한 인구 고령화로 인해 뇌졸중의 발생빈도가 증대되고 있으며, 후천적 장애의 주요 발생요인이 되고 있다. 본 연구는 뇌졸중의 후유증으로 인한 장애를 극복하기 위한 재활 과정에서 사용되는 보조장비인 체위제어용 자세변환기에 관한 것이다. 본 논문에서는 국내와 일본의 자세변환기 용품을 조사하여 기능과 용도에 따라 분류와 비교를 수행하였고, 와상체위를 제어하기 위해 스마트 고기능 자세변환 시스템의 설계방식을 제안하였다. 이는 욕창방지 튜브와 체위 경사동작 튜브를 통합한 매트리스 동작을 갖도록 고안된 것이다. 또한 스마트 기능을 추가하여 현재 기기 상태의 모니터링과 기본자세변경, 교대부양 및 체위제어의 무선 기능의 수행이 가능하도록 설계하였다. 시스템제어 하드웨어는 3개의 주요부, 즉 센서 검출부, 모터구동 제어부, 블루투스(Bluetooth) 통신을 위한 시스템제어부로 구성되어 있다. 결과로서, 본 연구에 의해 설계된 시스템이 최근 인터넷 정보화 기술의 적용분야인 IoT(Internet of Things) 기술이 접목된 고기능 스마트 자세변환장치로 실용화 될 수 있음을 확인하였다.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.278-288
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• 2021

Recently, IoT systems are cloud-based, so that continuous and large amounts of data collected from sensor nodes are processed in the data server through the cloud. However, in the centralized configuration of large-scale cloud computing, computational processing must be performed at a physical location where data collection and processing take place, and the need for edge computers to reduce the network load of the cloud system is gradually expanding. In this paper, a cluster system consisting of 6 inexpensive Raspberry Pi boards was constructed to perform fast data processing. And we propose "Kubernetes cluster system(KCS)" for processing large data collection and analysis by model distribution and data pipeline method. To compare the performance of this study, an ensemble model of deep learning was built, and the accuracy, processing performance, and processing time through the proposed KCS system and model distribution were compared and analyzed. As a result, the ensemble model was excellent in accuracy, but the KCS implemented as a data pipeline proved to be superior in processing speed..

• International Journal of Internet, Broadcasting and Communication
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• 제9권2호
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• pp.1-10
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• 2017

The high costs of electric vehicle supply equipment (EVSE) and installation are currently a stumbling block to the proliferation of electric vehicles (EVs). The cost-effective solutions are needed to support the expansion of charging infrastructure. In this paper, we develope EV charging system based on the big data analysis of the power consumption patterns. The developed EV charging system is consisted of the smart EV outlet, gateways, powergates, the big data management system, and mobile applications. The smart EV outlet is designed to low costs of equipment and installation by replacing the existing 220V outlet. We can connect the smart EV outlet to household appliances. Z-wave technology is used in the smart EV outlet to provide the EV power usage to users using Apps. The smart EV outlet provides 220V EV charging and therefore, we can restore vehicle driving range during overnight and work hours.

• 한국인터넷방송통신학회논문지
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• 제18권4호
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• pp.117-122
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• 2018

본 논문은 ICT 기술의 고도화를 통한 스마트 농업 확산 전략을 제시한다. 오늘날 세계는 환경 오염 문제와 지구 온난화로 전통 농업이 위협을 받고 있으며, 또한 저 출산 및 고령화에 따른 농업 종사자의 감소가 뚜렷하여 향후 식량 자원에 대한 사회적 문제가 예상된다. ICT 기술과 농업의 융합은 노동 집약적인 1차 산업이 아닌, 재배와 제조 및 서비스를 포함하는 새로운 페러다임을 제시하고 있다. 적은 노동력으로 양질의 식량을 안정적으로 공급할 수 있는 스마트팜 기술 보급이 시급한 실정이다. 본 논문에서는 현재 스마트팜 기술 현황을 살펴보고, 확산의 저해 요인을 분석하고 ICT 기술의 고도화를 통한 향후 스마트농업 발전 방향을 제시한다.

• 복식문화연구
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• 제27권6호
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• pp.615-631
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• 2019

Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.159-165
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• 2019

'4th Industrial Revolution' is accelerating as a core part of creating new growth engines and enhancing competitiveness of businesses. The fourth industrial revolution means the transformation of society and industries that are brought by IoT (Internet of Things), big data analysis, AI (Artificial Intelligence), and robot technology. Information and Communication Technology (ICT), which is a major factor, is affecting production and manufacturing systems and as ICT technologies become more advanced, intelligent information technology is generally utilized in all areas of society, leading to hyper-connected society where new values are created and developed. ICT technology is not just about connecting devices and systems and making smart, it is about constantly converging and harmonizing new technologies in a number of fields and driving innovation and change. It is no exception to the agro-fisheries trade. In particular, ICT technology is applied to the agricultural sector, reducing labor, providing optimal environment for crops, and increasing productivity. Due to the nature of agriculture, which is a labor-intensive industry, it is predicted that the ripple effects of ICT technologies will become bigger. We are expected to use the Smart Concentration using ICT convergence technology as a useful resource for changing smart farms, and to help develop new service markets.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.333-339
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• 2022

The purpose of the article is to identify priority trends of technological innovations and strategic opportunities for using the smart potential to the benefit of the Russian industrial production development in the context of digital transformation. The article substantiates the demand for technological process automation at industrial enterprises in Russia and considers the possibilities of using artificial intelligence and the implementation of smart manufacturing in the industry. The article reveals the priorities of the leading Russian industrial companies in the field of digitalization, namely, an expansion of the use of cloud technologies, predictive analysis, IaaS services (virtual data storage and processing centers), supervisory control, and data acquisition (SCADA), etc. The authors give the characteristics of the monitoring of the smart manufacturing systems development indicators in the Russian Federation, conducted by Rosstat since 2020; presents projected data on the assessment of the required resources in relation to the instruments of state support for the development of smart manufacturing technologies for the period until 2024. The article determines targets for the development of smart technologies within the framework of the Federal Project "Digital Technologies".

• 디지털산업정보학회논문지
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• 제18권3호
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• pp.9-23
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• 2022

This study aims to examine research trends on the Internet of Things and smart city based on papers from the United States, Japan, and Korea. We collected 7113 papers related to the Internet of Things and smart city published from 2016 to 2021 in Elsevier's Scopus. Keyword frequency and centrality analysis were performed based on the abstracts of the collected papers. We found keywords with high frequency of appearance by calculating keyword frequency and identified central research keywords through the centrality analysis by country. As a result of the analysis, research on security, machine learning, and edge computing related to the Internet of Things and smart city were the most central and highly mediating research conducted in each country. As an implication, studies related to deep learning, cybersecurity, and edge computing in Korea have lower degree centrality and betweenness centrality compared to the United States and Japan. To solve the problem it is necessary to combine these studies with various fields. The future research direction is to analyze research trends on the Internet of Things and smart city in various regions such as Europe and China.

• 한국비블리아학회지
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• 제32권1호
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• pp.5-33
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• 2021

본 연구에서는 스마트디지털 환경에서 공공도서관 이용편의성을 제고하고 이용자서비스를 개선하기 위해 디지털서비스 스마트화 추진방안을 모색하고자 하였다. 이에 디지털자료 업무 담당자 및 사서를 대상으로 디지털자료 활성화 방안과 스마트도서관에 대한 인식조사를 실시하였다. 연구 결과, 첫째, 스마트 도서관 도입은 정보 기술에 대한 관심이 높은 중소도시를 중심으로 우선 시행하고, 시간·장소에 구애받지 않는 서비스 제공에 대한 인식이 높은 광역시 및 특별자치시 지역 공공도서관으로 확산하는 방식으로 진행하는 것이 효과적으로 나타났다. 둘째, 스마트 도서관 도입의 핵심 성공요인은 단말기로부터 자유로운 콘텐츠와 이러한 서비스 이용이 가능한 사용자 전산 장비의 업그레이드인 것으로 분석되었다. 단말기는 스마트폰 등 이용자가 개인적으로 활용하지만 개방형 와이파이 등 이용자의 이동성을 보장하는 업그레이드와 5G의 도입은 필요한 것으로 조사되었다. 셋째, 스마트 도서관 도입 시 적용이 용이할 것으로 예상되는 정보기술로는 이미 일반화된 전자태그(RFID)와 더불어 빅데이터 기술인 것으로 나타났다. 그 외 광역시 및 특별자치시 지역 공공도서관 관계자들의 관심이 높은 사물인터넷(IoT) 기술 도입을 우선적으로 고려해야 할 것이다.