• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.511-516
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• 2024

The recently enacted detailed guidelines on the performance evaluation of track facilities presented the necessary requirements regarding the evaluation procedures and implementation methods of track performance evaluation. However, the grade of rail surface damage is determined by external inspection (visual inspection), and there is no choice but to rely only on qualitative evaluation based on the subjective judgment of the inspector. Therefore, in this study, we attempted to develop a diagnostic application that can diagnose rail internal defects using rail surface damage. In the field investigation, rail surface damage was investigated and patterns were analyzed. Additionally, in the indoor test, SEM testing was used to construct image data of rail internal damage, and crack length, depth, and angle were quantified. In this study, a deep learning model (Fast R-CNN) using image data constructed from field surveys and indoor tests was applied to the application. A rail surface damage diagnosis application (App) using a deep learning model that can be used on smart devices was developed. We developed a smart diagnosis system for rail surface damage that can be used in future track diagnosis and performance evaluation work.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.3
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• pp.230-242
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• 2017

Purpose: The purpose of this study was to develop a self triage application for rescue requests by disaster vulnerable populations. Literature was reviewed in order to define application trends and needs. Methods: Development of the self triage application was conducted in six stages as a hybrid model (analysis, design, development, implementation, evaluation, modification) of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model and Driscoll & Alexander model. Application system function and contents were tried with 6 experts and 4 people with hearing impairments. Results: Expert assessment of the application for self triage showed that reliability at 5 points was the highest, followed by utility at 4.8 points. Scores for quickness and expressiveness were low at 4.6 and 4.2 points respectively. User acceptability assessment of the application was measured at 66.73 points. Conclusion: The results show that the application for self triage is helpful to disaster vulnerable populations by providing relief in disaster situations. It is expected that use of this application as a self rescue ability can be made available for disaster situations. However, it will be necessary to establish policies for communication strategies with rescuers and public relations to improve the access rate of disaster app service.

• Communications of Mathematical Education
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• v.30 no.3
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• pp.309-333
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• 2016

This study is part of app development research based on user centered design which targets silver generation learners. The mathematical contents provided by Senior math application focus on Numeracy issues. In order to finalize the user interface and the mathematical contents which is for developing the mathematic application, teaching experiment was carried out through 9 senior learners. Also CIPP program evaluation model was used for monitoring the result of this teaching experiment. Factors such as 'educational objectives' 'requirement analysis' 'educational environment' 'curriculum' 'learning content' 'learning matter' 'interaction' 'program administration' 'supporting environment' 'satisfaction' 'study result' 'substantiality of learning' were checked and as a result the Senior Mathematic application was developed through these feedbacks.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.121-129
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• 2014

As e-books have been becoming common, the market for digital textbooks also has been expected to grow rapidly. In this paper, we introduce our experience of developing interactive e-books with Unity3D, and the result of user's experiment of using the books. The e-books are targeted to the lower grades in elementary schools, and they are a series of a fairy tale story with educational information on flat tide. They support rich user interactions such as dragging and clicking objects and rich media including 3D animations, videos, pictures, and augmented reality. We separate educational information from the main story in order to meet some incompatible issues among story, education, and user interaction. We conducted user experiments with twenty four 4th grade students and 95.8% (23 from 24) of them liked the e-books. They also thought the e-books would help them study about flat tide and sea creatures in there.

• Journal of Dental Anesthesia and Pain Medicine
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• v.19 no.6
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• pp.369-378
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• 2019

Background: Behavior guidance is a technique used to subdue inappropriate behavior by establishing communication that meets the needs of a child. This study aimed to measure the effectiveness of a mobile app (Little Lovely Dentist) compared to the tell-show-do (TSD) technique in managing anxious children during their first dental visit. Methods: Fifty children (30 boys and 20 girls) without any past dental experience, aged from 7 to 11 years, were randomly allocated into either the dental app group or the TSD group. The pre- and post-operative anxiety of children who underwent prophylactic cleaning was assessed both physiologically and subjectively using a heart rate measurement and the RMS pictorial scale, respectively. Results: The intragroup comparison of heart rate and RMS scores for children allocated to the dental app group was statistically significant (P value ≤ 0.001). However, a significant reduction only occurred in the RMS scores, but not the heart rate measurements, in the TSD group. Conversely, there was an increase in heart rates in the TSD group. Conclusion: Educating the child prior to a dental procedure using a smartphone application such as Little Lovely Dentist can significantly alleviate the anticipatory anxiety and engage children in dental treatment during their first visit.

• Journal of KIISE
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• v.41 no.9
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• pp.707-714
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• 2014

In general, the benign apps transmit privacy information to the external to provide service to users as the malicious app does. In other words, the behavior of benign apps is similar to the one of malicious apps. Thus, the benign app can be easily manipulated for malicious purposes. Therefore, the malicious apps as well as the benign apps should notify the users of the possibility of privacy information leakage before installation to prevent the potential malicious behavior. In this paper, We propose the method to detect leakage of privacy information on the android app by analyzing API inter-dependency and shortest distance. Also, we present LeakDroid which detects leakage of privacy information on Android with the above method. Unlike dynamic approaches, LeakDroid analyzes Android apps on market site. To verify the privacy information leakage detection of LeakDroid, we experimented the well-known 250 malicious apps and the 1700 benign apps collected from Android Third party market. Our evaluation result shows that LeakDroid reached detection rate of 96.4% in the malicious apps and detected 68 true privacy information leakages inside the 1700 benign apps.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1625-1630
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• 2018

In emergency situations, first aid workers are the main task of trauma evaluation and care. However, the scope of first-aid treatment is small and they are mainly carried out to the emergency room of the hospital. If a specialist who is in charge of an emergency situation is connected and emergency medical treatment through remote medical direction is performed, accurate diagnosis and appropriate care can be helped. This paper has developed an smart application(app) to support remote medical direction for emergency medical services. The developed smart app allows emergency rescuers to call a doctor at a remote location and transmit real-time status of emergency patients to vital sign and video. This will help to diagnose the patient's condition accurately. In addition, emergency care can be instructed and response in the emergency room can be made quickly.

• Smart Media Journal
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• v.12 no.6
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• pp.27-34
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• 2023

As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.145-148
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• 2013

최근 디지털 기술의 고도화로 인하여 테크놀로지가 급속도록 발전하면서 다양한 정보통신 기술과 지식의 융합을 교육 환경에 적용하는 스마트러닝에 대한 관심이 집중되기 시작하였다. 이러한 스마트러닝 환경의 장점들을 통해 학생들이 더욱 효과적으로 교육받을 수 있게 되었다. 학생들은 모바일 기기의 접근성에 대한 인식이 확대되고 모바일 기기와 교육용 프로그램을 활용한 학습이 활성화 되고 있다. 이에 본 연구에서는 스마트기기를 이용한 학습과 평가가 이루어질 수 있는 방안에 대해 알아보고자 한다.

• Korea Journal of Hospital Management
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• v.27 no.2
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• pp.16-33
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• 2022

Purposes: Prompt evaluation of routes and contact tracing are very important for epidemiological investigations of coronavirus disease 2019 (COVID-19). To ensure better adoption of contact tracing apps, it is necessary to understand users' expectations, preferences, and concerns. This study aimed to identify main reasons why people use the apps, appropriate services, and basis for voluntary app services that can improve app participation rates and data sharing. Methodology/Approach: This study conducted an online survey from November 11 to December 6, 2020, and received a total of 1,048 survey responses. This study analyzed the questionnaire survey findings of 883 respondents in areas with many confirmed cases of COVID-19. This study used a multiple regression analysis. Findings: Respondents who had experience of using related apps showed a high intention to use contact-tracing apps. Participants wished for the contact tracking apps to be provided by the government or public health centers (74%) and preferred free apps (93.88%). The factors affecting the participants' intention to use these apps were their preventive value, performance expectancy, perceived risk, facilitative ability, and effort expectancy. The results highlighted the need to ensure voluntary participation to address participants' concerns regarding privacy protection and personal information exposure. Practical Implications: The results can be used to accurately identify user needs and appropriate services and thereby improve the development of contact tracking apps. The findings provide the basis for voluntary app that can enhance app participation rates and data sharing. The results will also serve as the basis for developing trusted apps that can facilitate epidemiological investigations.