• Title/Summary/Keyword: APPS

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Study for Utility and Improvement of Mobile Applications for Diet and Dietary Life of College Students (대학생들의 다이어트와 식생활관련 모바일 앱 활용과 개선을 위한 연구)

  • Nam, Hae-Won;Myung, Choon-Ok;Park, Young-Sim
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.231-241
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    • 2018
  • Free from limitations of time and space, diet management with smartphones can be highly useful for college students. This study aimed to improve the utility of diet related apps by efficacy and app evaluation after using the apps for 2 weeks. Results showed that the intent for continuing use apps was low, and the lack of efficacy indicated the currently developed apps had not significantly influenced their motivating healthy diet. Average app rating was $3.12{\pm}0.85$. Among 4 rating factors, convenience and contents were relatively higher than usefulness and community. Especially, there was significant difference in contents and convenience according to gender, contents and community according to BMI and previous diet experience. In the future, considering the needs and characteristics of college students, we need to find ways to enhance the usefulness of the app and to strengthen the social networking.

Malicious App Discrimination Mechanism by Measuring Sequence Similarity of Kernel Layer Events on Executing Mobile App (모바일 앱 실행시 커널 계층 이벤트 시퀀스 유사도 측정을 통한 악성 앱 판별 기법)

  • Lee, Hyung-Woo
    • Journal of the Korea Convergence Society
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    • v.8 no.4
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    • pp.25-36
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    • 2017
  • As smartphone users have increased in recent years, various applications have been developed and used especially for Android-based mobile devices. However, malicious applications developed by attackers for malicious purposes are also distributed through 3rd party open markets, and damage such as leakage of personal information or financial information of users in mobile terminals is continuously increasing. Therefore, to prevent this, a method is needed to distinguish malicious apps from normal apps for Android-based mobile terminal users. In this paper, we analyze the existing researches that detect malicious apps by extracting the system call events that occur when the app is executed. Based on this, we propose a technique to identify malicious apps by analyzing the sequence similarity of kernel layer events occurring in the process of running an app on commercial Android mobile devices.

An Automatic Extraction Scheme of Dependency Relations between Web Components and Web Resources in Java Web Applications (자바 웹 앱에서 웹 컴포넌트와 웹 자원의 의존 관계를 자동으로 추출하는 기법)

  • Oh, Jaewon;Lee, Seunghyun;Kim, Ah Hyoung;Ahn, Woo Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.3
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    • pp.458-470
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    • 2018
  • As the requirements of web apps become complex and rapidly changing, the maintenance of web apps becomes more important. However, web apps have a problem that more often than not there is not enough documentation to understand and maintain them. Thus, their effective maintenance requires models that represent their internal behavior occurring when they dynamically generate web pages. Previous works identify web components (such as JSPs and Servlets) as participants in the behavior but not web resources (such as images, CSS files, and JavaScript files). Moreover, they do not identify dependency relations between web components and web resources. This paper dynamically analyzes Java web apps to extract such dependency relations, which are included in our graph model for page generation. Case studies using open-source web apps show the applicability of the proposed approach.

Design and Implementation of Hybrid Apps Design based on Spring MVC (스프링 MVC 기반에서 하이브리드 앱 디자인 설계 및 구현)

  • Lee, Myeong-Ho
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.395-400
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    • 2019
  • The Web environment of the frontend domain is increasingly competitive to preempt the new standard of presentation layer. N-Screen, a service that enables users to seamlessly use one content in various devices in Korea, is competing for market preemption by recognizing it as a core service of the future. In the cloud computing, N-screen is a typical service type. However, most of the frontend research required for groupware in enterprise environments has been limited to responsive web design for the web and native apps for mobile. Gradually, the need for MVC design patterns is increasingly widening in enterprise environments to overcome the cultural differences of companies and to support one source multi-use strategy supporting multiple devices and development productivity. Therefore, in this study, we will analyze and design JPetStore with hybrid application design based on Spring MVC, e-government standard framework environment of next generation web standard, and provide reference model of frontend hybrid apps design in future enterprise environment.

Analysis of oral health-related smartphone applications (구강건강 관련 스마트폰 애플리케이션 분석)

  • Jung, Jae-Yeon;Kim, Soo-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.4
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    • pp.493-502
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    • 2019
  • Objectives: This study aimed to investigate the current status of oral health applications developed for smartphones because they can be used as a new educational medium to manage and improve oral health. Methods: This study examined 60 basic oral health applications provided by Google Play Store and Apple App Store as of May 2019 and examined delivery contents, delivery methods, application types, and other information. Results: Apple included 65.4% of oral apps in the game category whereas Android included 64.3% in the education category (p>0.05). All Apple's apps and 71.4% of Android apps were developed overseas (p<0.01). The delivery contents were 61.5% for Brushing + tooth decay in Apple, and 78.6% for others (oral care products and gum diseases) in Android (p>0.05). For the delivery method, game + video was 65.4% in Apple, and game and other methods (text, image, augmented reality) was 42.9% in Android (p>0.05). In the case of application type, play type was the most common with 88.5% in Apple, and 46.4% play type and 39.3% other type (text, appreciation, problem-solving types) in Android (p<0.01). In addition, play type was high in both education (53.8%) and game (90.0%) categories (p>0.05). The average review score was 4.30 in the education category, 4.34 in the case of brushing and care (delivery contents), 4.37 in the case of using game + video (delivery methods), and 4.57 in the case of Play + other types (application type) (p>0.05). Conclusions: The use of healthcare apps is expected to increase owing to improved lifestyles, an increase in the elderly population, cost-effectiveness, and convenience that is not affected by time and place. Effective use of oral health apps will require the participation of dental professionals in the development process to identify the exact status, expand subjects, and provide appropriate information.

Blockchain Technology for Mobile Applications Recommendation Systems (모바일앱 추천시스템과 블록체인 기술)

  • Umekwudo, Jane O.;Shim, Junho
    • The Journal of Society for e-Business Studies
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    • v.24 no.3
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    • pp.129-142
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    • 2019
  • The interest in the blockchain technology has been increasing since its inception and it has been applied to many fields and sectors. The blockchain technology creates a decentralized environment where no third party controls the data and transaction. Mobile apps recommendation has been extensively used to recommend apps to mobile users. For example, Android-based recommendation applications have been developed to recommend other mobile apps for download depending on user's preferences and mobile context. These recommendations help users discover apps by referring to the experiences of other users. Due to the collection of a large amount of data and user information, there is a problem of insecurity and user's privacy that are prone to be attacked. To address this issue the blockchain technology can be incorporated to assure cryptographic safety. In this paper, we present a survey of the on-going mobile app recommendations and e-commerce technology trend to address how the blockchain can be incorporated into the collaborative filtering recommendation systems to enable the users to set up a secured data, which implies the importance of user privacy preference on personalized app recommendations.

Evaluation of Mobile App Usability of Logistics in Life Startups (생활물류 스타트업의 모바일 앱 사용성 평가)

  • Byun, Dae-Ho;Chung, Dong-Seop
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.35-48
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    • 2021
  • With the advent of the Fourth Industrial Revolution, startups are leading the proliferation of logistics in life services in countries across the world. Logistics in life startups aim to differentiate themselves for traditional logistics companies by offering customized services that penetrate niche logistics market and enhance customer convenience and satisfaction. Through the development of mobile applications(apps) and platform a variety of life-enhancing services are becoming increasingly available to customers, such as on-demand, online-to-offline, convenience, reverse logistics, as well as last-mile delivery. In particular, logistics in life services are expanding into areas that include food delivery, home moving, cargo transport, laundry delivery, car washing, and car repair. In order for the logistics in life startups to succeed, they needs to offer highly usable apps to increase customer satisfaction and loyalty. Due to the nature of mobile phones, different evaluation criteria than those for websits should be used to determine the usability of apps. The purpose of this study is to evaluate the usability of representative Korean logistics in life apps through usability testing, discuss implications and offer improvement recommendations. Finally, the best Korean logistics app is compared with a top ranked app on Google Play for benchmarking purposes.

A Study on Self-medication for Health Promotion of the Silver Generation

  • Oh, Soonhwan;Ryu, Gihwan
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.82-88
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    • 2020
  • With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.

A Study on the Role of Private-led Information Provision: Case of COVID-19 Pandemic (코로나19 팬데믹 상황에서 살펴본 민간 주도 정보제공의 역할 분석)

  • Cho, Hosoo;Jang, Moonkyoung;Ryu, Min Ho
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.1-13
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    • 2021
  • With the global pandemic of COVID-19, it is pointed out that exposure to false information to the public could cause serious problems. However, in pandemic situations, there is also an positive effect for the public to share private-led information rather than centralized unilateral delivery of information. This study analyzes the role of private-led information provision in infectious disease situations. To this end, topic modeling and sentiment analysis is carried out on online reviews of all COVID-19-related applications in Google Playstore provided by the Korean government and the private. The results showed that the user's evaluation of private apps, which were used from the early stage of COVID-19, was much higher than the apps provided by the government. In particular, users responded more positively to private apps than government apps in all aspects such as reliability of information, risk avoidance, timeliness, usefulness, and stability. Based on these results, a post-monitoring system is recommended rather than a pre-block of all private apps.

Real-time Task Aware Memory Allocation Techniques for Heterogeneous Mobile Multitasking Environments (이종 모바일 멀티태스킹 환경을 위한 실시간 작업 인지형 메모리 할당 기술 연구)

  • Bahn, Hyokyung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.43-48
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    • 2022
  • Recently, due to the rapid performance improvement of smartphones and the increase in background executions of mobile apps, multitasking has become common on mobile platforms. Unlike traditional desktop and server apps, response time is important in most mobile apps as they are interactive tasks, and some apps are classified as real-time tasks with deadlines. In this paper, we discuss how to meet the requirements of heterogeneous multitasking in managing memory of real-time and interactive tasks when they are executed together on a smartphone. To do so, we analyze the memory requirement of real-time tasks, and propose a model that has the ability of allocating memory to multitasking tasks on a smartphone. Trace-driven simulations with real-world storage access traces captured by heterogeneous apps show that the proposed model provides reasonable performance for interactive tasks while guaranteeing the requirement of real-time tasks.