• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1539-1542
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• 2012

고정된 컴퓨터에서 학습하는 e-learning에서 탈피하여 이동 중에도 학습이 가능한 u-learning이 필요하여 u-learning의 한부분인 스마트러닝은 급변하는 정보화시대의 교육경향이 매우 빠르게 변화하고 있는 상황을 그대로 반영해주는 결과물이라고 할 수 있다. 스마트 러닝이 학습향상에 얼마나 영향을 미치는가를 분석하고 스마트 러닝 기능을 최대한 활용하여 최대의 학습 효과를 얻을 수 있는 방법을 제시하며 스마트기기를 이용해 실제 학습하는 사례를 적용한 동영상 강의 애플리케이션의 효율적인 관리 시스템을 분석 설계한다. 각종 콘텐츠를 비롯하여 동영상강의 어플리케이션을 통한 여러 학습수단을 배경으로 전체적인 면에서 학습 환경을 살펴봄으로써 학습효과에 보다 나은 방안을 제시하고자 한다.

• Advanced Industrial SCIence
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• v.1 no.2
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• pp.24-29
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• 2022

Recently, smart farm research that applies IoT technology to various farms is being actively conducted to improve agricultural cooling power and minimize cost reduction. In particular, methods for automatically and remotely controlling environmental information data around smart farms through IoT devices are being studied. This paper proposes a processing model that can maintain an optimal growth environment by monitoring environmental information data collected from smart farms in real time based on machine learning. Since the proposed model uses machine learning technology, environmental information is grouped into multiple blockchains to enable continuous data collection through rich big data securing measures. In addition, the proposed model selectively (or binding) the collected environmental information data according to priority using weights and correlation indices. Finally, the proposed model allows us to extend the cost of processing environmental information to n-layer to a minimum so that we can process environmental information in real time.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.1094-1097
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• 2019

디지털화된 현실 환경을 증강현실속에서 투영시키기 위해선 증강현실 디바이스의 측위가 필수적이다. 하지만 대부분의 측위 방식이 측위 대상 디바이스에 대해 별도의 하드웨어나 센서를 요구하는데 이를 스마트폰 환경에서 충족시키기란 매우 힘든 일이다. 이에 본 논문은 스마트폰 환경에서 별도의 하드웨어를 요구하지 않는 딥러닝 영상기반 실내 측위 시스템을 제안한다. 제안하는 시스템은 측위를 위하여 설계된 피라미드형의 비콘을 활용하며 실시간에 가까운 피드백을 구현하기 위해 딥러닝 기법을 활용한 탐지를 진행한다. 본 논문에서는 상기한 두 개의 요소를 포함한 제안 시스템의 구성요소들을 설명하고 학습 방법과 비콘의 자세 측정 방법, 최종 측위 프로세스 등 전반적인 측위 프로세스를 설명한다.

• Journal of Korean Library and Information Science Society
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• v.44 no.2
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• pp.27-50
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• 2013

In this study, a smart Learning instruction model for school library was developed in terms of library instruction. Based on ADDIE model and ASSURE model, this model is organized considering the characteristics of school library, including facilities, materials, human resources, information problem solving process, collaborative teaching and blended learning, and utilizing smart devices. The entire procedure of this model is as follows: "establishment of instructional objectives${\rightarrow}$learner analysis${\rightarrow}$analyzing the learning environment${\rightarrow}$analyzing the learning task${\rightarrow}$instructional process design${\rightarrow}$developing instructional tool${\rightarrow}$instruction${\rightarrow}$evaluation". In addition, an instructional practice is provided for actual experience of smart Learning in school libraries.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.309-318
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• 2012

Smart learning is a new trend in education following E-learning, U-Learning, and M-Learning. In June 2011, the Korean government announced the education policy on promoting smart learning, and presented the vision and the direction for the smart learning. However, it seems that the current government-directed education policy on smart learning has promoted the unconditional implementation of the policy without taking into consideration of a variety of factors, such as the reality of the classroom, educational environment, educators' competencies to use smart learning, and so on. The aims of this study are to examine the reality of the classroom and the educational environments for smart learning, and to take a survey on the elementary teachers' use of the smart learning. In addition, the study attempted to investigate the teachers' understanding of the various factors regarding the use of smart learning. On the basis of the results of the survey, the problems of implementing smart learning in the classroom were analyzed, and then some suggestions were made to pave the way for the more improved and systematic smart learning.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.59-70
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• 2013

With advances in information and communication technologies, many innovative technologies have been developed. Those technologies are changing every aspect of our daily life. Especially smart technologies are changing our life dramatically. Smart devices such as tablet PCs and smart phones are used in education so that new concept called "smart learning" is created and used. Currently smart learning becomes popular in accordance with wide distribution of smart devices and smart contents in schools. In order to compare and check the current status and progress of individuals in smart environment, we need smart literacy standards. However, there has been only few works for smart literacy standards for teachers and students. Also, those standards need to be improved. The purpose of this paper is to develop smart literacy standards for teachers and students in smart learning environment. The proposed literacy standards are developed based on the existing ICT literacy standards. In this work, smart literacy standards consist of four main areas, smart education, smart knowledge, smart application, and smart ethics, respectively. For development of smart literacy, wide experts from teachers, professors, and researchers are selected and surveyed. Their responses are analyzed using through statistical analysis so that final smart literacy standards are obtained.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3247-3252
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• 2013

The convergence of ICT and cloud computing is treated as a main issue all over the fields including education. This development leads to change from e-learning to u-learning and smart education. Therefore, we need to study in term of the systematic and a long-term viewpoint how smart education environment have an influence on the practical space. And we need a concrete study for smart education space based on property of space. Under these critical mind, this study understands the smart education space in terms of the convergence of computing space and physical space. As a Result, smart education space have major property such as flexibility, communication, polyvalence.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.507-519
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• 2015

Along with the rapid diffusion of smart devices, smart learning has been taking place as a main pedagogy in education. Under these drastic changing circumstances, social presence and interaction between learners have been highlighted as key factors in educational research. In this light of rising importance, this study examined the effects of modality and smart device on users' perceived social presence and interaction experience in a smart learning environment. It conducted 2(text based interface vs. audio/video based interface) by 2(smartphone vs. tablet PC) between-subjects experiment. 80 participants were systematically recruited and randomly assigned to four conditions. The findings showed that social presence was higher in audio/video based interface condition than in text based interface condition. Modality also had a positive effect on learner's interaction experience. On the other hand, the effect of smart device is found to be statistically insignificant. Instead, interaction effect existed between modality and device on social presence. The result of this study suggests that the modality and characteristics of device should be considered seriously when designing interface of smart learning contents. The findings in this study provide future studies with heuristic implications by highlighting users' perceived cognition and experience.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.151-154
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• 2012

본 논문에서는 21세기에 인재양성에 필요한 학습능력의 동향을 알아보고 전통적 교육에서 스마트 교육으로 변화함에 따라 스마트 러닝 교수설계 모형을 제안하고자 한다. 21세기 사회는 지식기반사회, 지식정보사회 등 '지식'이 핵심 키워드라 할 수 있다. 기존의 전통적 지식과 21세기에 필요한 학습능력을 통합하여 디지털 교과서, 온라인 수업, 클라우드 교육 서비스, 스마트 교육환경의 콘텐츠와 교수학습 모형을 융합하는 새로운 교수설계 모형이 필요하며 지속적인 연구가 필요하다.