• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1602-1608
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• 2019

In this study, we developed a "Zetton Children's Traffic Safety Education" application using mixed reality to help children experience a variety of traffic situations indirectly and to help them defend themselves from accidents. We analyze the types of high mortality child traffic accidents to set learning goal. And we developed the experience-oriented contents that players could acquire signal systems and traffic information naturally and funny in the course of playing scenarios according to designed various traffic situations. In order to verify the educational effectiveness of the developed application, children were given traffic safety education through after-school education activities. The result shows that the frequency of right answers to questions related to traffic safety awareness and learning objectives is increased.

• Design Convergence Study
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• v.13 no.5
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• pp.341-354
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• 2014

The position of newspaper has been getting critical, since there are various new digital devices that can embody much information in only one device. Smart devices has risen the possible replacement of newspaper, while they are getting lighter and getting faster access to the information. However, there is lack of study on the application for smart devices, since it is at the early stage of development. In this study, the design method for the effective news application is considered by analyzing not only an external element, the layout design, but also an internal element, the content of it. Then, 20 domestic and foreign news applications were analyzed concentrating on the layout and the contents. Through the observation, I looked into what type of applications that can be deliver messages effectively. After the observation, participants are asked about their impressions and preferences of the applications. A news application for smart devices should not be just a mobile version of newspaper. If so, a news application never be able to leap over authority and popularity of the newspaper. So, it needs constant researches on an effective news application focused on the attribute of the smart devices to develop the news application for the devices.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.579-587
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• 2011

In this study, we developed the filed-experience learning support application. Because teachers want to use LBS in education area. In order to select fit functions, we carried out survey about functions that teachers want. Then, we analysed the result of survey and implemented the functions. Also, for survey about application's effectiveness, we selected elementary school teachers. Then we demonstrated and explained the application to them. The result of survey about application's effectiveness shows that application have higher utilization in education area.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.273-276
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• 2011

In this paper, Cloud services to support the implementation of UNIX virtualization systems, and applications using Java-based service are proposed. Unix Virtualization with Web Server zone NFS zone and FTP zone is divided into three systems and is implemented. Applications are implemented with Java programming. Applicable to Unix systems, applications and data anytime, anywhere by uploading, downloading music, documents tasks, and It provides efficiency. From Unix virtualization for server resources, we can expect energy savings. Smart phone without PC conduct its mission and business with benefits.

• Journal of Software Engineering Society
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• v.26 no.3
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• pp.53-62
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• 2013

Along with increasing supplies of smart devices, a proliferation of context-aware applications is came. However, acquiring contexts through sensors requires considerable energy consumption. It has became big constraints on running many context-aware applications in mobile devices having limited battery capacity. Hence, energy-efficient methods for monitoring contexts are highly required. In this paper, we propose four context monitoring methods, analyse energy consumption in each method, and provide guidelines for applying the methods. It is effective to decrease energy consumption for monitoring contexts with applying the methods. To assess the proposed methods, we implement an application that is aware of a user's motion and show quantitative comparison between each of the methods.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.235-242
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• 2019

Recently, the use of artificial intelligence technology including deep learning has become active in various fields. In particular, several algorithms showing superior performance in object recognition and detection based on deep learning technology have been presented. In this paper, we propose the proper direction for the implementation of mobile healthcare application that user's convenience is effectively reflected. By effectively analyzing the current state of use satisfaction research for the existing fitness applications and the current status of mobile healthcare applications, we attempt to secure survival and superiority in the fitness application market, and, at the same time, to maintain and expand the existing user base.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.8
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• pp.351-360
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• 2016

Sensors equipped in Internet-of-Thing (IoT) devices are used to measure the surrounding contexts, and IoT applications analyze the contexts to infer situations and provide situation-specific smart services. There are different context acquisition schemes including pulling, pushing, and broadcasting. Most IoT devices support only one of the schemes. Hence, there can be an incompatible issue on data acquisition schemes between applications and devices, and consequently it could result in an increased development cost and inefficiency on application maintenance. This paper presents design patterns which can effectively remedy the incompatibility problem. By applying the patterns, IoT applications with incompatibility can be systematically and effectively developed. And, also its maintainability is expected to increase.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.12
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• pp.615-622
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• 2016

Automotive control software can be a source of critical safety issues when developers do not comply system constraints. However, a violation is difficult to identify in complicated source code if not supported by an automated verification tool. This paper introduces two possible approaches that check whether an automotive control software complies API call constraints to compare their performance and effectiveness. One method statically analyzes the source code and explores all possible execution paths, and the other utilizes a model checker to monitor constraint violations for a given set of constraint automata. We have implemented both approaches and performed a series of experiments showing that the approach with model-checking finds constraint violations more accurately and scales better.

• Journal of Industrial Convergence
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• v.22 no.9
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• pp.93-102
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• 2024

The purpose of this study was to investigate the effectiveness of emergency coping education program using mobile application to ICU nurses' nursing performance, CRRT performance, ECMO performance, Video laryngoscopy performance and Educational satisfaction. This study conducted with 51 ICU nurses and analyzed nursing performance, CRRT performance, video laryngoscope performance and educational satisfaction by t-test, and ECMO performance was analyzed by covariance analysis due to different prior homogeneity. The data was analyzed with the SPSS 28.0 program. As a result of the study, The nursing performance after the intervention was significantly increased at the experimental group(=.015). There was no significant difference in CRRT performance(p=.235), ECMO performance(p=.119), Video laryngoscope performance(p=.428). Education satisfaction was significantly higher in the experimental group(p=.003). The study suggests that Emergency coping education program using mobile application has proven the effectiveness of improving the performace of ICU nurses and educational satisfaction.

• Journal of Industrial Convergence
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• v.19 no.4
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• pp.1-8
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• 2021

This study was conducted with the aim of developing a mobile app so that parents and children can provide questions and conversation-based Home Humanity Education. App development was developed in four stages: analysis, design, development, and evaluation by modifying the ADDIE model. In the analysis stage, education goals were set and seven core competencies were extracted for the app. In the design stage, 15 menus, including character to implement seven core competencies, were selected for learning contents. In the development stage, questions were asked based on 1,000 photos, and parents and children naturally talked to strengthen their core competencies. In the evaluation stage, the user's evaluation interview was followed by a reflux process that produced and reflected improvements. Based on research results, it is going to suggest follow-up research on developing apps for home humanity education. First, it is necessary to verify the learning experiences and changes that occur when parents and children use apps for a long time through longitudinal research. Second, a follow-up study is needed on how to use the home humanity education app by age and how to improve it accordingly. Third, as the number of cases in which grandparents raise their grandchildren increases, it is necessary to study the process and learning effects of grandparents and grandchildren using the app.