• Journal of mucopolysaccharidosis and rare diseases
• /
• v.2 no.2
• /
• pp.41-42
• /
• 2016

Today's mobile phones and tablet PCs offer a considerably wider range of functionalities than before. Mobile applications (apps) are increasingly used for managing various daily health tasks. Currently, more than 165,000 health-related apps are offered on all the stores of different platforms. Pf Jin and the Association for Research on MPS and Rare Diseases (AMARD) have helped Prader-Willi syndrome (PWS) families through medical information and family support since 2015. AMARD developed the first mobile application for Korean patients with PWS, which was released to a limited number of patients under the age of 3 and only provided to Android users. The first version of the PWS application focused on growth hormone therapy and the assessment of growth and development by parents in infant and early-childhood PWS patients. The 2016 version of the PWS application has been improved in many different ways. We have expanded the subjects of the application to late childhood and adolescent groups, changed the user interface accordingly, and made the application available for iOS users. We will show the specialized growth curves of older children with PWS. Therefore, patients with PWS over the age of 3 and their parents can assess the patients' growth. Additionally, we have upgraded the growth hormone therapy menu by improving the input system for the growth hormone therapy injection schedule and the daily growth profile (height and weight). We expect that the new version of the PWS application will help many PWS families cope with growth hormone therapy and evaluate the effects of growth hormones in better ways. Additionally, we are making a constant effort to provide more useful information about patients with PWS in many aspects.

• Journal of Digital Convergence
• /
• v.19 no.12
• /
• pp.389-395
• /
• 2021

This study aims to evaluate the user experience of leading handmade product market service applications, Etsy and idus. A survey about the apps was developed based on Peter Morville's user experience factors. The survey was conducted with eleven users from their 20s to 50s. In addition, problems were discovered through an in-depth interview and the resulting user experience problems were analyzed according to the five levels of Jesse James Garrett's user experience element framework. Our primary results for both apps suggest applying a universally accepted visual interface to improve the user experience, providing brief text to improve readability, avoiding repetitive delivery of similar functions in different information structures, and applying design patterns that are considerate of customers' culture and country. This study provides meaningful data to elevate handmade product platforms into global platforms by analyzing and providing improvements to their shopping experiences.

• Journal of the Korea Convergence Society
• /
• v.12 no.12
• /
• pp.223-233
• /
• 2021

MyData industry became possible with the revision of the three data-related bills on August 2020, and from February 2021, each individual can make MyData financial service through the app provided by MyData providers. In this study, in order to understand the user experience trend of MyData-based financial asset management apps in the user-centered financial service era, the usability evaluation of 11 apps from 8 MyData providers was conducted for 300 adults, then average value comparison, radial graph analysis, and heatmap analysis were conducted. In app design preference, asset list type was the most preferred type, followed by asset comparison·list type. As for the expected perception of the future benefits that can be enjoyed through My Data, 'diversification of convenient services' was the highest at 45.3%, and as a negative factor felt by users, personal information-related factors were the highest at 71.4%. The results of this study can be used as basic data for the development and improvement of user interfaces for MyData platforms.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.6
• /
• pp.65-70
• /
• 2021

Recently, as the number of mobile apps rapidly increases, the memory size of smartphones keeps increasing. Smartphone memory consists of DRAM and as it is a volatile medium, continuous refresh operations for all cells should be performed to maintain the contents. Thus, the power consumption of memory increases in proportion to the DRAM size of the system. There are attempts to configure the memory system with low-power non-volatile memory instead of DRAM to reduce the power consumption of smartphones. However, non-volatile memory has weaknesses in write operations, so analysis of write behaviors is a prerequisite to realize this in practical systems. In this paper, we extract memory reference traces of mobile apps and analyze their characteristics specially focusing on write operations. The results of this paper will be helpful in the design of memory management systems consisting of non-volatile memory in future smartphones.

• The Journal of the Korea Contents Association
• /
• v.19 no.7
• /
• pp.13-21
• /
• 2019

Because security of Internet of Things(IoT) products and others is poor, there are many hacking incidents To prevent security threats, it is important for companies to first make products with high security levels and choose products that are safe for users. In response, the Korea Internet & Security Agency is testing the security of IoT products and linked mobile apps to impose ratings. Security certification service is a service that tests IoT products and linked mobile apps to ensure certain levels of security and issues certificates when they meet the criteria. It can induce autonomous security enhancement of IoT products, contribute to strengthening security capabilities of IoT companies in Korea and vitalizing their overseas advancement, and have the expected effect of resolving public anxiety over IoT products. In this study, the criteria for IoT security certification are presented, but the importance priority is sought to be derived for assessment items that need to be strengthened. This will help to provide guidelines that can contribute to strengthening the security capabilities of domestic Internet companies and boosting their overseas advancement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.71-74
• /
• 2014

Mobile apps have been developed actively using open source software recently. Tend to be used much more than the component of the functional role on the ground that the reuse of components for the User Interface is an open source implementation of the mobile component is easy. The problem is to apply as an open source mobile components selected for this reason all of the existing two studies. It is an open source software selection process and selection procedures shelf components. We revise to conform to existing mobile components selected for the study on open source software selection process in this paper. Can help increase the productivity of the mobile app development by the open source components to meet the functional requirements when developing mobile apps that can be easily retrieved and presented the selection process of this study is effective.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.43 no.1
• /
• pp.65-80
• /
• 2019

Mobile shopping has spread rapidly in the consumer's daily life, and numerous fashion companies have now launched a mobile shopping application. By focusing on mobile social commerce apps, this study was to: (a) segment consumers based on loyalty and switching intentions, (b) to test differences in perceived service quality and switching barrier factors among segments, and (c) examine the effects of perceived service quality and switching barriers on loyalty intention. A total of 550 responses were obtained from mobile users in their 20s to 40s who purchased fashion products through a social commerce app in the last six months. Consumers were classified into four clusters: split-loyals, latent loyals, habitual loyals, and switchers. The split-loyal group showed the highest level of mean scores on perceived service quality and switching barrier factors; however, the switcher group showed the lowest mean scores. Of service qualities, app design had a significant effect on loyalty intentions in both split-loyal and latent loyal groups; the factors of ease of use and privacy had significant effects on loyalty intentions in switchers. Of switching barrier factors, virtual relationship had the most strongly effect on loyalty intention for the four segments.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.10
• /
• pp.1375-1380
• /
• 2021

Korea's security response to application service app is still insufficient due to the initial opening of the public safety network. Therefore, preemptive security measures are essential. In this study, we proposed to establish a 'public safety network app security system' to prevent potential vulnerabilities to the app store that distributes app in public safety network and android operating system that operate app on dedicated terminal devices. In order for an application service app to be listed on the public safety network mobile app store, a dataset of malicious and normal app is first established to extract characteristics and select the most effective AI model to perform static and dynamic analysis. According to the analysis results, 'Safety App Certificate' is certified for non-malicious app to secure reliability for listed apps. Ultimately, it minimizes the security blind spots of public safety network app. In addition, the safety of the network can be secured by supporting public safety application service of certified apps.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.11-21
• /
• 2021

The aim of this study is to examine the effectiveness of learning by running an extracurricular program to make effective learning of unfamiliar and difficult programming education possible for students in the humanities. Analysis of learning-related data for one semester of lectures that were collected from 70 humanities students in departments A and B, data collected from a creative convergence app development contest extracurricular program, and data obtained through a questionnaire show that extracurricular program activities affect academic performance. The results of the core competency diagnosis test for students that was conducted before and after participating in the curriculum showed that core competencies improved for both A and B departments after participating in the curriculum. This study shows that extracurricular program activities can help individuals improve their abilities, while also providing customized guidance to reclusive students to improve their academic performance. By carrying out customized coaching for each department to develop apps related to the major field rather than general apps, we hope for improvements in ability to solve problems by converging with the major field, computational thinking, and creative thinking, in the future.

• Journal of Internet of Things and Convergence
• /
• v.6 no.4
• /
• pp.65-72
• /
• 2020

In this paper, we developed a web-based DApp system based on a private blockchain by applying machine learning techniques to automatically identify Android malicious apps that are continuously increasing rapidly. The optimal machine learning model that provides 96.2587% accuracy for Android malicious app identification was selected to the authorized experimental data, and automatic identification results for Android malicious apps were recorded/managed in the Hyperledger Fabric blockchain system. In addition, a web-based DApp system was developed so that users who have been granted the proper authority can use the blockchain system. Therefore, it is possible to further improve the security in the Android mobile app usage environment through the development of the machine learning-based Android malicious app identification block chain DApp system presented. In the future, it is expected to be able to develop enhanced security services that combine machine learning and blockchain for general-purpose data.