• Construction Engineering and Management
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• v.23 no.6
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• pp.72-74
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• 2022

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.2
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• pp.479-487
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• 2015

According to IT development, smart home services is providing remote service, monitoring service and other various services through smart home devices based on network. But, smart home environment exists security threats such as data falsification, illegal authentication and invasion of privacy through a malicious device. Smart home is studying to prevent these security threats, but the studies of smart home environment security are still in early stage of development and the studies of group key management method is lacking in smart home. In this paper, we propose the group key management method for secure device in smart home.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.28-29
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• 2020

최근 들어 정부의 적극적인 지원책에 힘입어 전통적인 축산농장의 환경을 스마트 축사로 개선하는 사업이 다양하게 추진되고 있다. 이에 축산농장의 스마트화를 위해 다양한 축산용 ICT 기기들이 개발되어 도입되고 있고, 클라우드기반의 인터넷환경까지 연결되고 있으나, 이러한 ICT 기기들을 사용하여 스마트 축사를 구축하고 운영하는데, 편의성 측면에서나 효율성 측면에서 어려움을 겪는 경우가 다수 발생하고 있다. 이 문제를 해결하기 위해, 축산 현장에서 사용자의 편의성 측면을 고려하여 축산현장 정보를 기록하는 스마트 블랙박스 시스템을 개발하고, 효율성을 고려하여 이 시스템을 위한 지능형 시스템 관제 플랫폼을 개발하였다. 그리고 현장상황에서 실증평가를 통해 축산 인들이 현장에서 축산 ICT 기기를 쉽고, 안전하게 운영하도록 하도록 사용자 환경을 구축하였다. 본 논문에서는 개발된 스마트 축산 ICT 블랙박스 시스템(Smart.Dx)과 IoT센서 수집용 게이트웨이(Smart.Dn), 그리고 클라우드 데이터 분석 솔루션(Smart.Center)을 기술한다. 이 연구내용은 또한 축산업에 종사하는 고령자나 스마트폰 환경에 익숙하지 않은 사용자 환경 특성을 고려하여, 유니버셜 디자인의 7대 원칙을 지원하고 있다.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.331-337
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• 2021

The adaptation of smartfarm technology that converges ICT is increasing productivity and competitiveness in the agriculture. Technologies have been developed that enable environmental monitoring through various sensors and automatic control of the cultivation environment, and researches are underway to advance smartfarm technology using data generated from smartfarms. In this paper, an environmental control method to reduce the energy consumption of a smartfarm by using the environment and control data of the smartfarm is proposed. It was confirmed that energy consumption could be reduced compared to an independent environmental control method by creating an environmental prediction model using accumulated environmental data and selecting a control method to minimize energy consumption in a given situation by considering multiple environmental factors. In the future, research is needed to obtain higher energy efficiency through the advancement of the predictive model and the improvement of the complex control algorithms.

• (The)Korea Educational Review
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• v.23 no.1
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• pp.183-204
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• 2017

Since the development of Smart technology and the advent of various Smart media, a learning environment for individual learners and the school has been changing. In the stream of changing learning environments, in 2011, the government announced SMART education strategies, introducing the term officially, "SMART education." With the governments' efforts to develop and implement SMART education in school, many policies has been enacted and many research has been conducted and increased gradually. However, as policies of SMART education have initiated in situation where there is no clear understanding in regard of SMART education, many researchers and teachers confused of SMART education and its identity and attributes, even though it has been 6 years since the concept was introduced. Unfortunately, SMART education has been implemented as one type of instructional methodology as utilizing Smart technology. Thus, in this research, we tried to build theoretical foundation of SMART education through analyzing former research on SMART education to define the attributes of SMART education. To examine how SMART education has been implemented in terms of its attributes, also, we analyzed research that conducted instructional design and implementation on SMART education in actual learning environments. As the results of former research analysis, the attributes of SMART education include Information and Communication Technology, open learning environment, self-directed learning, customized learning, and social learning. In majority of research, SMART education focused on utilizing Smart technology and media in teaching and learning environments but self-directed, and customized learning were less adapted in SMART learning environments. In the following research, how to improve educational benefits of SMART education through adapting original attributes of SMART education need to be examined.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1154-1159
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• 2013

Now we are facing various threats as side effects against the growth of smartphone markets. Malicious codes such as mobile worms may bring about disclosures of personal information and confusions to upset a national wireless backbone. In this paper, we examine the existed spreading models and try to describe the correct spread of mobile worms on smartphones. We also analyze the spreading effects, and simulate bluetooth, MMS and Wi-Fi worms by various experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.543-544
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• 2014

In this paper, we present the design of a compound sensing platform to share environment information with other smart devices such as a gateway, a phone, a pad, etc. The proposed compound sensing platform is designed as a single-board hardware to support air temperature and humidity, soil temperature and humidity, solar visible radiation, etc. It sends the measured information to a smart gateway which shares the information with smart phones and pads by Twitter.

• Information Systems Review
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• v.18 no.4
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• pp.69-88
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• 2016

Nowadays, organizations have adopted Smart Work to efficiently manage tasks, such as electronic document approval, customer management, and site inspection, without spatial-temporal constraints. Smartphones, which are commonly used in Smart Work, enable individuals to perform their jobs anytime and anywhere, thus blurring the boundary between work and non-work. To solve the problem of blurred work/non-work boundaries, a construct of self-control and affective factors needs to be considered because business style is changed from command to autonomy in the Smart Work context. Moreover, employees can convey their emotions easily over smartphones. Recent marketing studies have analyzed consumers' behavior based on the combination of cognitive, affective, and behavioral components, and researchers of information systems are also interested in these factors. However, previous research has some limitations, such as not classifying factors into cognitive, affective, and behavioral as well as not covering all three factors. Therefore, we explore the roles of cognitive, affective, and behavioral components in emotional exhaustion and education performance, and conduct a survey on undergraduate and graduate students, who are the major users of smartphones. Findings show that when individuals improve their cognitive capability (self-control) and usage experience (smartphone communication and internet usage), they can decrease emotional exhaustion and increase education performance. In the role of affective capability, increasing education performance is partially accepted. These results imply that organizations should not focus on controlling the usage of smartphones but on promoting appropriate smartphone usage.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.35-44
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• 2013

This article is exploring on the concept and realization conditions of 'Smart Education' including the propulsion environment and problems about 'Smart Education'. Based on the concept and realization conditions of 'Smart Education', this paper will review various aspects, such as the technology, infrastructure, school teachers' preparation situation, ecosystem and distribution system, and propose further policy alternatives of 'Smart Education'.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.196-198
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• 2012

유비쿼터스 컴퓨팅 환경에서 스마트 객체는 센서로부터 환경 데이터를 얻는다면, 각종 센서 데이터를 결합하여 사용 할 수 있다. 이러한 데이터를 처리 한 후 스마트 오브젝트는 사용자에게 지능형 서비스를 제공 할 수 있게 된다. 이렇게 하려면 스마트 오브젝트는 센서와 서비스 제공 업체와 호환이 되어야 한다. 본 논문에서는 유비쿼터스 컴퓨팅 분야에서 스마트 오브젝트를 위한 미들웨어를 제안한다. 미들웨어는 센서와 미들웨어 간의 서비스 및 미들웨어 간의 상호 운용성을 위한 메타 데이터를 사용한다. 이 미들웨어는 U-헬스케어, 스마트 홈 등에 사용 될 수 있다.