• 정보화정책
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• 제24권4호
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• pp.79-92
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• 2017

도시 기능이 복합적으로 발전함에 따라 스마트 시티에 대한 관심이 높아지고 있다. 스마트 시티란 정보통신기술을 활용하여 교통, 안전, 복지, 생활 등 도시 문제를 효과적으로 해결하는 것을 말한다. 최근 세계 각국은 빅데이터, 사물인터넷, 인공지능 기술을 스마트 시티에 도입하는 시도를 하고 있으나 종합적인 도시 서비스로는 발전하지 못하고 있다. 본 논문에서는 국내외 스마트 시티 추진 현황을 살펴보고 핵심 문제로 부각된, 데이터 공유문제, 서비스 호환성 문제를 해결하는 방안을 제시하였다. 이를 위해 딥러닝 기술을 스마트 시티 서비스에 접목한 "딥러닝 시티 프레임워크"를 제안하고 도시 여러 영역의 시공간 데이터를 안전하게 공유하고 여러 도시의 학습 데이터를 융합하는 새로운 스마트 시티 추진 전략을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.6057-6078
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• 2018

Smart home systems provide a safe, comfortable, and convenient living environment for users, whereby users enjoy featured home services supported by the data collected and generated by smart devices in smart home systems. However, existing smart devices lack sufficient protection in terms of data security and privacy, and challenging security and privacy issues inevitably emerge when using these data. This article aims to address these challenging issues by proposing a private blockchain-based access control (PBAC) scheme. PBAC involves employing a private blockchain to provide an unforgeable and auditable foundation for smart home systems, that can thwart illegal data access, and ensure the accuracy, integrity, and timeliness of access records. A detailed security analysis shows that PBAC could preserve data security against various attacks. In addition, we conduct a comprehensive performance evaluation to demonstrate that PBAC is feasible and efficient.

• 한국융합학회논문지
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• 제10권7호
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• pp.33-37
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• 2019

스마트 폰을 비롯한 스마트 TV 등 여러가지 스마트 기기의 보급으로 인해 스마트 기기 간의 연동에 대한 필요성이 증대되고 있다. 본 논문에서는 스마트 TV와 스마트 폰을 연동하기 위한 게임 프레임워크를 제시하고, 시범 콘텐츠를 통해 제시된 프레임워크의 효용성을 증명하였다. 스마트 기기 사이의 연결 문제는 기본적으로 이기종 간의 연결 문제로 볼 수 있다. 이러한 문제는 이기종 기기 사이의 데이터 송수신과 보안까지 고려해야 하기 때문에, 핵심적인 데이터는 클라우드 컴퓨팅 개념을 도입하여 서버에 저장하고 스마트TV에서는 이 데이터를 이용해 게임을 수행하는 형태로 작동한다. 제시된 프레임워크는 게임을 비롯한 여러 가지 관련 분야에 적용될 것으로 예상된다.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.83-90
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• 2015

In this paper, we propose a new method for multi transmission method of data among near smart devices. Existing methods require the use of an extra application service where the operating system differs between smart devices. In contrast, the proposed method makes use of the smart device's inner speaker and microphone to confirm the transmission signal. Then, real sharing data is transmitted via WiFi or LTE. Therefore, the proposed method overcomes operating system issues with existing methods. Besides, BUMP technology works in a similar way to the method we propose, it only supports one-to-one transmission. To evaluate the efficacy of the new method, we tested one-to-many data transmission in an experiment: the results showed a 96% success rate. As a result, we believe that the proposed method is an effective multi transmission method of data among near smart devices.

• 품질경영학회지
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• 제49권4호
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• pp.551-567
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• 2021

Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.8-19
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• 2020

We see an energy fucused smart city evolution of the UK along with the project of "Smart London Plan (SLP)." A theoretical logic of business model innovation has been discussed and a research framework of evolving energy focused smart city is formulated. The starting point is the silo system. In the second stage, the private investment in smart meters establishes a basement for next stages. As results, the UK's smart energy sector has evolved from smart meter installation through smart grid to new business models such as water-energy nexus and microgrid. Before smart meter installation of the government, the electricity system was centralized. However, after consumer engagement plan has been set to make them understand benefits that they can secure through smart meters, the customer behavior has been changed. The data analytics firm enables greater understanding of consumer behavior and it helps energy industry to be smart via controlling, securing and using that data to improve the energy system. In the third stage, distribution network operators (DNOs)' access to smart meter data has been allowed and the segmentation starts. In the fourth stage, with collaboration of Ofwat and Ofgem, it is possible to eliminate unnecessary duplication of works and reduce interest conflict between water and electricity. In the fifth stage, smart meter and grid has been integrated as an "adaptive" system and a transition from DNO to DSO is accomplished for the integrated operation. Microgrid is a prototype for an "adaptive" smart grid. Previous steps enable London to accomplish a platform leadership to support the increasing electrification of the heating and transport sector and smart home.

• 한국전자통신학회논문지
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• 제16권5호
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• pp.783-788
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• 2021

스마트제조는 제품기획, 설계, 생산, 품질, 재고, 조달 등 스마트공장 내 제조 프로세스의 정보화, 최적화 및 생산 시스템의 자동화를 ICT기반 스마트 기술로 실현하는 제조 공정으로 정의된다. 본 논문에서는 스마트공장과 스마트제조 시스템의 운영시 발생하는 제조 데이터와 관련된 국내 표준화 동향에 대해 소개한다. 표준화의 범위가 매우 넓기 때문에 스마트공장 및 제조 ICT시스템과 관련된 일반적인 표준화 내용 및 제조 데이터를 거래시 필요한 표준에 관련된 사항을 다룬다. 이를 기반으로 하여 제조 데이터의 활용을 위해 필요한 사항에 대해 논의한다.

• 한국BIM학회 논문집
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• 제10권4호
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• pp.11-21
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• 2020

With increasing interest and research on smart cities, there is also an increasing number of studies on urban facilities that can be built within smart cities. According to these studies, smart cities' urban facilities are likely to become high value-added industries. However, the concept of smart city is not clear because it involves various fields. Therefore, in this study, the definition of Next-Generation(N.G) Smart City Facilities with Digital Twin and Digital Chain is carried out through a multidisciplinary approach. Based on this, Next-Generation Smart City Facilities will be divided into High Value-Added Products and Big Data Platforms. Subsequently, the definition of the Digital Chain containing the data flow of the entire process built through the construction of the Digital Twin proceeds. The definitions derived are applied to the Next-Generation Noise Barrier Tunnel to ensure that data is exchanged at the Digital Twin stage, and to review the proposed configuration of the Digital Chain and Data Flow in this study. The platform definition and Digital Chain of Next-Generation Smart City Facilities proposed in this study suggest that it can affect not only the aspects of data management that are currently in the spotlight, but also the manufacturing industry as a whole.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.377-378
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• 2012

• 한국의류학회지
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• 제47권1호
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• pp.85-109
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• 2023

Laundry has traditionally been regarded as one of the most demanding household chores, but the introduction of smart washing machines is changing this perception. Although smart washing machines have been on the market for several years and consumers' perceptions of washing machines have changed, little is known about consumers' perceptions of smart washing machines. The purpose of this study is to determine what users expect from smart washing machines. We conducted two focus group interviews with sixteen participants who had used smart home appliances to acquire qualitative data. Stimuli created by the interviewees were applied in the focus group interviews to collect more insightful data. We analyzed the data using the three-step method and QSR NVivo. Analysis revealed ten categories of predictive expectations, including seven utilitarian attributes (i.e., smart functionality, smart user interface, reliability, controllability, interactivity, functional value, and economic value) and three hedonic attributes (i.e., fashionable value, psychological value, and social value). The results of this study have implications for the development of smart washing machines that would satisfy consumers by taking user expectations into account.