• The Journal of the Korea Contents Association
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• v.6 no.3
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• pp.85-92
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• 2006

Problem-Based Learning(PBL) is one of constructionism's model which is learner-centered learning. In this paper, a role-play base PBL using character is proposed to study importance of information security. It is different from the other PBL models in that it reflects the characteristics of learners, learning task. And it is learning support system which the learners preside their own learning activities using Internet and mobile devices. By experimental result showed that proposed method was more effective than traditional teacher-oriented teaching method about information security in self-directed learning, cooperative learning, contents-making and attraction.

• Journal of The Korean Association of Information Education
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• v.10 no.2
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• pp.209-217
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• 2006

For its maximum impact on the scene of school as the educational equipment, it is necessary to understand equipmental characteristics of PDA and study the basis for utilizing it educationally. In this point of view, to inquire how PDA is helpful for education more than PC, the typical educational equipment in the past, PDA-based English vocabulary learning game is developed in this study, and after that it is applied on the scene of education. The result of study showed PDA can access the content more easily than PC, and learners expressed more curiosity and expectation of PDA than PC in a recent poll. In addition, under the condition of learner's voluntary use, the present study has found that learning with PDA is helpful to enhance the academic achievement more than one with PC.

• Journal of Korea Game Society
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• v.11 no.4
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• pp.163-174
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• 2011

The purpose of this study was to apply a variety of criteria to analyzing mobile applications for early childhood education, which are now available in application market, and was also to explore how the developmental characteristics and multimedia content characteristics of early childhood could be applied to mobile applications for early childhood education. To meet these purposes, this study targeted total 61 applications for infancy education in terms of mobile applications loaded on online education categories such as iPhone App Store and Android Market. Based on analytic criteria on the foundation of content type by learning type, cognitive load theory and multimedia design principle, this study analyzed those applications for early childhood. As a result, it was found that there were needs to develop a little more various categories of applications, and there were also needs to develop such applications that they can make the best use of smart phone's performance, comply with multimedia design principles but avoid any imprudent use of multimedia.

• ETRI Journal
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• v.39 no.4
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• pp.443-454
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• 2017

In this paper, we propose a fine-grained mobile application clustering model using retrofitted document embedding. To automatically determine the clusters and their numbers with no predefined categories, the proposed model initializes the clusters based on title keywords and then merges similar clusters. For improved clustering performance, the proposed model distinguishes between an accurate clustering step with titles and an expansive clustering step with descriptions. During the accurate clustering step, an automatically tagged set is constructed as a result. This set is utilized to learn a high-performance document vector. During the expansive clustering step, more applications are then classified using this document vector. Experimental results showed that the purity of the proposed model increased by 0.19, and the entropy decreased by 1.18, compared with the K-means algorithm. In addition, the mean average precision improved by more than 0.09 in a comparison with a support vector machine classifier.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.1-7
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• 2019

The latest mobile applications such as augmented reality, virtual reality, and deep learning can be used efficiently in various fields such as emergency management and game. Accordingly the corresponding applications have been developed for these purposes. However modern mobile applications such as augmented reality and virtual reality increase the energy burden on mobile devices. In order for mobile devices to focus their energy on the latest mobile applications, energy consumption should be minimized for communication and networking, such as cognitive radio. In this paper, we propose a method to reduce the energy consumption of Centralized Cooperative Spectrum Sensing (CCSS) scheme in cognitive radio by devising Stop Reporting Algorithm (SRA). Simulation results show that SRA can reduce energy consumption of mobile devices using cognitive radio.

• Journal of the Korea Institute of Building Construction
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• v.20 no.3
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• pp.289-296
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• 2020

This study suggests a methodology for automatically extracting placing information from 2D reinforced concrete details drawings and generating a 3D reinforcement placing model to develop a mobile augmented reality for bar placing work. To make it easier for users to acquire placing information, it is suggested that users takes pictures of structural drawings using a camera built into a mobile device and extract placing information using vision recognition and the OCR(Optical Character Registration) tool. In addition, an augmented reality app is implemented using the game engine to allow users to automatically generate 3D reinforcement placing model and review the 3D models by superimposing them with real images. Details are described for application to the proposed methodology using the previously developed programming tools, and the results of implementing reinforcement augmented reality models for typical members at construction sites are reviewed. It is expected that the methodology presented as a result of application can be used for learning bar placing work or construction review.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.79-85
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• 2021

The purpose of this study was to investigate the existing augmented reality (AR) contents in education and to develop digital AR contents to promote the learning outcomes in nursing skills education. AR contents has been widely used in education such as children's books, coloring, or exhibition experiences, but rarely developed in nursing education. We wanted to develop AR contents on nursing skills which required memorization of complex contents. In order to improve nursing students' memorization skills, we developed AR techniques holding and executing cameras along with game elements of time and points. In order to give the effect of placing objects in front of the user's eyes, an augmented reality camera was applied, and a total of 40 levels were created to produce the sequence of nursing techniques. This study showed that learning contents in the medical field requiring expertise could be implemented as AR contents. The content developed in this study will be used as a learning aid for nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.730-737
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• 2018

With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.698-700
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• 2010

In recently, various types of applications have been developed according the smart phone has become popular. There are many kinds of multimedia, game, information, education, etc according to each user. Most of the linguistic contents in mobile based are concentrated on learning foreign languages like English, Japanese, Chinese compared that the development of contents for Korean education is imperfect. In this paper, so, we implement the linguistic contents for elementary Koran education of foreigners based on android OS to use them by smart phone.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4682-4705
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• 2020

The Unmanned Aerial Vehicles (UAV) networks consisting of low-cost UAVs are very vulnerable to smart jammers that can choose their jamming policies based on the ongoing communication policies accordingly. In this article, we propose a novel cloud and edge-aided mobile communication scheme for low-cost UAV network against smart jamming. The challenge of this problem is to design a communication scheme that not only meets the requirements of defending against smart jamming attack, but also can be deployed on low-cost UAV platforms. In addition, related studies neglect the problem of decision-making algorithm failure caused by intermittent ground-to-air communication. In this scheme, we use the policy network deployed on the cloud and edge servers to generate an emergency policy tables, and regularly update the generated policy table to the UAVs to solve the decision-making problem when communications are interrupted. In the operation of this communication scheme, UAVs need to offload massive computing tasks to the cloud or the edge servers. In order to prevent these computing tasks from being offloaded to a single computing resource, we deployed a lightweight game algorithm to ensure that the three types of computing resources, namely local, edge and cloud, can maximize their effectiveness. The simulation results show that our communication scheme has only a small decrease in the SINR of UAVs network in the case of momentary communication interruption, and the SINR performance of our algorithm is higher than that of the original Q-learning algorithm.