• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.139-144
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• 2022

The smart cities are evolving constantly and are responsible for the current transformation of cities and countries into a completely connected network of information and technology This interconnected network of a huge number of smart devices is capable of exchanging complex information and provides tremendous support including enhanced quality of life within urban locations. Unfortunately this set-up is vulnerable to security attacks and requires the widespread ubiquitous network to authorize access through privacy and thus offer security in order to ensure civilian participation in a country. The smart network should benefit the individuals of the country by developing potential strategies to protect the smart cities and their participating entities from the unauthorized attacks. Trustworthy data sharing strategies based on the utilization of advanced technology features via smart communication network could solve some issues of privacy and security. This paper presents the challenges and issues related to protection and highlights the important aspects of securing the smart cities and its components. It also presents the role of cloud security for building a secure smart city.

• 산업경영시스템학회지
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• 제40권2호
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• 산업경영시스템학회지
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• 제44권2호
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• pp.43-57
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• 2021

Smart factories can be defined as intelligent factories that produce products through IoT-based data. In order to build and operate a smart factory, various new technologies such as CPS, IoT, Big Data, and AI are to be introduced and utilized, while the implementation of a MES system that accurately and quickly collects equipment data and production performance is as important as those new technologies. First of all, it is very essential to build a smart factory appropriate to the current status of the company. In this study, what are the essential prerequisite factors for successfully implementing a smart factory was investigated. A case study has been carried out to illustrate the effect of implementing ERP and MES, and to examine the extensibilities into a smart factory. ERP and MES as an integrated manufacturing information system do not imply a smart factory, however, it has been confirmed that ERP and MES are necessary conditions among many factors for developing into a smart factory. Therefore, the stepwise implementation of intelligent MES through the expansion of MES function was suggested. An intelligent MES that is capable of making various decisions has been investigated as a prototyping system by applying data mining techniques and big data analysis. In the end, in order for small and medium enterprises to implement a low-cost, high-efficiency smart factory, the level and goal of the smart factory must be clearly defined, and the transition to ERP and MES-based intelligent factories could be a potential alternative.

• 한국보육지원학회지
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• 제18권6호
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• pp.1-19
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• 2022

Objective: The purpose of this study is to confirm the structural relationship among maternal parenting stress, neglectful mediation of smart media and the over use of smart media in preschool children. Methods: Quantitative surveys were conducted to measure maternal parenting stress, smart media neglect mediation, and over use of smart media in preschool children. In addition, the mediating effect of maternal neglectful smart media mediation in maternal parenting stress and preschool children's over use of smart media was verified using the Amos 23.0 and SPSS 26.0 programs Results: Maternal parenting stress and mother's neglectful mediation of smart media had a direct effect on preschool children's over use of smart media. In addition, mother's neglectful mediation of smart media mediated the influence of the mother's parenting stress on preschooler children's over use of smart media. Conclusion/Implications: These findings emphasize the important role of maternal stress in preschool children's over use of smart media. And maternal competence such as supervision and limit setting is an important role in preschool children's use of smart media, so it is necessary to develop a practical and diverse parenting education program in order to reduce.

• 한국인터넷방송통신학회논문지
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• 제22권4호
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• pp.133-139
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• 2022

최근 국내 축산 농가들에서는 생산성 향상을 위해 축사 환경 및 사양관리, 안전한 축산물 생산, 동물 복지 등에 데이터를 기반으로 한 기술이 도입되고 있다. 또한, 정부는 정책적으로 축산물의 생산성 향상 및 축산 환경을 개선하기 위해 ICT기반의 축사시설 현대화를 통한 스마트 축사 보급 사업을 2017년부터 진행하고 있다. 그러나 현재 스마트 축사는 모니터링과 제어의 연계성, 다양성, 통합성 등에서 한계가 있다. 그러므로 다양한 모니터링과 제어의 연계 및 통합을 하기 위해 지능화된 알고리즘 및 원격 제어로 축산의 모든 과정을 지능적으로 시스템화하기 위해서는 사물인터넷, 빅데이터, 인공지능, 클라우드 컴퓨팅, 모바일 등 지능정보기술을 기반으로 한 스마트 축산 시스템 개발이 필요하다. 본 연구에서는 지능정보기술 기반의 스마트 축사 관련 국내외 연구동향을 소개하고 첨단기술의 국내 적용 한계를 분석하였다. 끝으로 축산분야에 적용 가능한 미래 지능정보기술에 대해서 살펴보았다.

• 지식경영연구
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• 제12권2호
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• pp.56-68
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• 2011

The rapid changes in business environments are also applicable to the delivery service field. Numerous companies are using smart phones in order to perform work of the delivery service field that is rapidly developing every year. Smart phones established ubiquitous work environments where access to the server of the head office is possible through telephones, scanners, and the internet anywhere and anytime. However, although smart appliances including smart phones have been diffused, empirical analysis of use of them in actual has not been attempted much. In this regard, current study empirically analyzes how connectivity and context-awareness function of smart phones based on the TAM(Technology Acceptance Model) influence the continuous intention to use through trust, usefulness, and ease of use. The results indicate that the connectivity and context-awareness function, which are natures of smart phones, had impacts on the ease of use and trust, but not on the usefulness. Based on these results, this study suggests implications and future research directions regarding the planning and realization of smart appliances.

• Journal of Information Technology Applications and Management
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• 제27권1호
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• pp.75-95
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• 2020

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy (β = .459)> facilitating conditions (β = .212)> social influence (β = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.

• 융합보안논문지
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• 제20권2호
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• pp.15-28
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• 2020

스마트시티는 기존 도시의 문제를 해결하고 새로운 부가가치를 창출할 것으로 큰 기대를 받고 있으나, 보안위험 증가에 우려 또한 증가하고 있다. 보안위험 인식에 따른 스마트시티에 대한 부정적 태도는 4차산업혁명 기술 활성화 및 스마트시티의 발전을 위해서도 개선해야 하는 문제이다. 이에 본 연구는 지각된 위험 이론과 사용자 저항이론을 바탕으로 스마트시티 내 위험요인과 스마트시티 저항 태도 간 관계를 통계적으로 분석하였다. 288명의 연구 표본을 대상으로 한 실증 분석결과에 따르면, 보안 위험, 사회적 위험, 신체적 위험요인은 스마트시티 저항에 직접적인 영향을 미치는 반면, 경제적, 성능, 사생활 침해에 대한 위험은 유의미한 영향이 없는 것으로 나타났다. 또한, 보안위험이 다른 위험에 선행요인으로 작용할 수 있다는 것을 검증하였으며, 스마트시티 환경에서는 사생활 침해 위험과 보안 위험에 대해 구분해서 논의할 필요성이 있음을 확인하였다. 본 연구는 일반인들 관점에서 스마트시티 인식에 부정적인 영향을 미치는 위험요인을 논의함으로써, 스마트시티 활성화를 위해 보안 및 안전 문제와 더불어 사회적 교류를 위한 정책적 방안 마련이 필요함을 보여준다.

• International Journal of Advanced Culture Technology
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• 제11권3호
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• pp.321-326
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• 2023

The purpose of this study is to create and present a formalized module of ISP (Information Strategy Plan), a smart factory consulting method that is helpful to companies or consultants who will build smart factories. Order of study is First, the theoretical research direction is established through the investigation of related papers. Second, ISP policy research practices are compared to derive practical implementation methods. Third, in order to derive a standardized module method related to the final smart factory ISP, related cases of the government and individuals are compared. As a result of previous research, ISP (Information Strategy Planning), a consulting methodology, is similar to Deming's PDCA, and is regarded as Plan (environment and current status analysis), Do (establishment of future model goals), Check (establishment of implementation plan), and Act (follow-up management). As a result of the study, we obtained the following results. The first step is to analyze the current status and identify the purpose of introduction and problems in plant operation. In the second step, establish a consulting plan and derive a proposal description, strategic task, and master plan. Step 3 establishes detailed action plans, evaluates consulting outputs and consulting, and reports performance. Step 4 is established as follow-up management consulting. The limitation of the study is that although related data were compared to develop the consulting methodology into a standardized module, FGI analysis through experts or Delphi survey were not conducted, so there is a limit to the reliability of the mapping results.

• 융합정보논문지
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• 제11권4호
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• pp.83-101
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• 2021

본 연구는 우리나라 중소기업들에게 4차 산업혁명 대응과 스마트 기업으로의 변화를 위해서는 어떠한 기술들을 우선적으로 적용하여야 하는가에 대한 내용을 AHP를 활용하여 규명하는 것이다. 이를 위하여 4차 산업혁명 관련 기술들을 종합하고, 김대훈 외(2019)의 분류기준을 준용하지만 전문가들의 의견을 추가로 수렴하여 관련 기술들을 분류하였다. 인공지능(AI), Big Data, Cloud Computing을 디지털 기반기술로, 모바일, 사물인터넷(IoT), Block Chain을 초연결 기술로, 무인운송(자율주행), 로봇(Robot), 3D 프린팅, 드론을 융합기술로, 스마트 제조 및 물류, 스마트 헬스케어, 스마트 교통, 스마트 금융을 스마트 산업기술로 구분하였다. AHP 분석과 종합가중치를 계산하는 방식으로 기술적용 우선순위를 확인한 결과 제조기업은 모바일, 인공지능(AI), Big Data, 로봇(Robot)의 순위가 높으며, 서비스기업은 Big Data, 로봇(Robot), 인공지능(AI), 스마트 헬스케어의 순위가 높고 전체기업에서는 Big Data, 인공지능(AI), 로봇(Robot), 모바일의 순서이다. 본 연구를 통해 4차 산업혁명 대응과 스마트 기업으로의 변화를 위해서는 어떠한 기술들을 우선적으로 적용하여야 하는가를 명확하게 규명하였다.