• Proceedings of the Korean Information Science Society Conference
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• 2011.06d
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• pp.16-19
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• 2011

최근에 Smart Phone 보급의 급격한 확산에 따라 2012년경에는 국내에서 약 2천만명 정도가 Smart Phone을 사용할 것이며 전 세계적으로도 약 3억5천만대 정도의 사용자가 Smart Phone을 사용할 것으로 예상되고 있다. 이러한 Smart Phone에서 시작된 u-Device 변혁은 Smart Phone, Tablet-PC, Smart TV, Desk Top Computer를 연계한 Seamless 학습 환경 및 최근의 N-Screen 환경의 구현을 가능하게 하고 있다.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.92-100
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• 2023

Wireless communication technology is becoming increasingly prevalent in smart factories, but the rise in the number of wireless devices can lead to interference in the ISM band and obstacles like metal blocks within the factory can weaken communication signals, creating radio shadow areas that impede information exchange. Consequently, accurately determining the radio communication coverage range is crucial. To address this issue, a Radio Environment Map (REM) can be used to provide information about the radio environment in a specific area. In this paper, a technique for estimating an indoor REM usinga mobile robot and machine learning methods is introduced. The mobile robot first collects and processes data, including the Received Signal Strength Indicator (RSSI) and location estimation. This data is then used to implement the REM through machine learning regression algorithms such as Extra Tree Regressor, Random Forest Regressor, and Decision Tree Regressor. Furthermore, the numerical and visual performance of REM for each model can be assessed in terms of R2 and Root Mean Square Error (RMSE).

• 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.

• Educational Technology International
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• v.12 no.2
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• pp.135-151
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• 2011

Recently, a wide variety of studies on future learning have appeared owing to rapid advances in information and communication technology (ICT) and increased discussion about core competencies in twenty-first-century learning. These studies, though insufficient in number, cover various fields such as architecture (design of the learning space), education (learning model), and technology (adaptation of mobile devices). However, these studies focus on mainstream students and do not discuss the future situation of inclusive education with regard to both mainstream and students with physical disabilities. Hence, in order to fill this gap, the present study explores the perceptions and ideas held by special education preservice teachers on the future learning space with regard to school design and peer-to-peer feedback. For this purpose, these preservice teachers' design proposals about future school were collected and analyzed. In conclusion, special education preservice teachers perceive the future learning space as an inclusive environment in which smart technology is incorporated. Future learning environment were categorized in terms of flexible, ubiquitous technology, physical and mental health, safety, and spaces with facilities for students with physical disabilities.

• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.473-480
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• 2019

The smart home is a technology that can monitor and control by connecting everything to a communication network in various fields such as home appliances, energy consumers, and security devices. The Smart home is developing not only automatic control but also learning situation and user's taste and providing the result accordingly. This paper proposes a model that can provide a comfortable indoor environment control service for the user's characteristics by detecting the user's behavior as well as the automatic remote control service. The whole system consists of ESP 8266 with sensor and Wi-Fi, Firebase as a real-time database, and a smartphone application. This model is divided into functions such as learning mode when the home appliance is operated, learning control through learning results, and automatic ventilation using indoor and outdoor sensor values. The study used moving averages for temperature and humidity in the control of home appliances such as air conditioners, humidifiers and air purifiers. This system can provide higher quality service by analyzing and predicting user's characteristics through various machine learning and deep learning.

• Smart Media Journal
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• v.11 no.11
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• pp.25-31
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• 2022

Deep learning-based image processing is essential for autonomous vehicles. To process road images in real-time in a System-on-Chip (SoC) environment, we need to execute deep learning models on a NPU (Neural Procesing Units) specialized for deep learning operations. In this study, we imported seven open-source image processing deep learning models, that were developed on GPU servers, to Texas Instrument Deep Learning (TIDL) NPU environment. We confirmed that the models imported in this study operate normally in the SoC virtual environment through performance evaluation and visualization. This paper introduces the problems that occurred during the migration process due to the limitations of NPU environment and how to solve them, and thereby, presents a reference case worth referring to for developers and researchers who want to port deep learning models to SoC environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.161-166
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• 2014

Using and increasing the smart devices got many changes for social environment. Especially, many researchers have studied application using smart devices for improving the learning performance in education. However, Liberal Arts of Humanities has very difficult to apply to information and communication technology cause of traditional study pattern and unit characteristic. In this paper, we suggest a method to apply the Liberal Arts of Humanities to digital broadcasting and to improve learning performance. For this study, we propose a method to making smart contents and connecting them for Liberal Arts of Humanities. And also, we propose a method for applying them to digital broadcasting in order to proof the learning performance increasing by questionary, and shows the application possibility.

• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.9-16
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• 2016

Pervasive computing and Internet of Things (IoT) have recently received considerable interest to deploy solutions for the future Internet. Smart environments are integrated with Semantic Web to provide context-awareness to the processed information. Self-learning techniques have been adopted within smart solutions for efficient retrieval of data but do not process data with privacy parameters for in-place authorization. To overcome this issue, we present a novel approach of deploying access control as a service mechanism within Semantic Web based smart environment by using eXtensible Access Control Markup Language (XACML). The proposed XACML as a Service (XACMLaaS) approach offers fine-grained access control for protecting information within smart environment. In this paper, we have defined mathematical rules for each components of proposed access control service layer. These rules are for implementation of access control using XACML. The proposed approach allows the adaptation of authorization of information at component level and provides scalable solution for authorization policies and rule enforcement within smart environment.

• 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'.

• ETRI Journal
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• v.45 no.4
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• pp.650-665
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• 2023

A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time were obtained from 900 households of single apartments. To detect outliers and missing values in smart meter data, a deep learning model, the autoencoder, consisting of a graph convolutional network and bidirectional long short-term memory network, was applied to the smart metering technique. Power management based on the smart metering technique was executed by multi-objective optimization in the presence of a battery storage system and an electric vehicle. The results of the power management employing the proposed smart metering technique indicate a reduction in electricity cost and amount of power supplied by the grid compared to the results of power management without anomaly detection.