• Title/Summary/Keyword: Mobile Application Store

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Inquiry on the Socio-cultural Meaning of the Using Form and Environment of Smart Phone : Focused on the Viewpoint of Media-ecology Studies (스마트폰의 이용형태와 이용환경이 갖는 사회문화적 함의 고찰 : 미디어생태학적 관점을 중심으로)

  • Ha, Sung-Bo;Kang, Seung-Mook
    • The Journal of the Korea Contents Association
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    • v.11 no.7
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    • pp.89-99
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    • 2011
  • This study has attempted to examine the socio-cultural implications of the using form and environment of smart phone and applications from the viewpoint of media-ecology studies. In so doing, this paper analysed the types of applications in SKT's application market T-store and in-depth interview on smart phone users. According to the study results, smart phone users organize mobile culture with individual curiosity and a desire for novelty depending on their personal tendencies and interest. Also, they use smart phone and applications as a sort of new complex mobile media and prescribe the role of smart phone and applications as their second body replacing themselves in a space using mobile. It means that new paradigm for a space using mobile could be formed by having created new space for communication through the mobile media.

Overview of the Sambodana Project: Development of Mobile Communication Security System using Hardening Android

  • Cahyo, Darujati;Moh Noor Al, Azam
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.57-62
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    • 2022
  • The Sambodana project is a mobile communication security system development project using Hardening Android. The initial idea for this project is that information leakage occurs outside of a communications application with end-to-end cryptographic security. Android hardening prevents unwanted applications and bloatware from being installed, such as unavailable Google Play Store or install restrictions.

The Extraction Process of Durative Persuasive System Design Characteristics for Healthcare-related Mobile Applications

  • Zhang, Chao;Wan, Lili
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.18-29
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    • 2019
  • In the field of Human-Computer Interaction design, persuasive design has gradually been applied to the system development and design process, especially for mobile application design. However, most mobile applications have hitherto a very short using lifecycle. Especially, design features with long-term persuasive effectiveness remain to be further researched and developed. In this study, we focused on investigating and identifying the durative persuasive design characteristics through a data mining process and evaluating the durative effectiveness through a long-term observation process. Total five hundred healthcare-related mobile applications were selected from Apple iTunes Store and a mixed method was conducted to extract the most common persuasive design characteristics. Based on the results of extraction, a representative healthcare-related mobile application was selected as experimental subject. Total one hundred and twenty participants were observed during a six-months experiment and the monitoring data of app usage of all participants was collected once a week. According to the evaluation model for behavior change identification process, participants with habit formation features were proved to have a significant long-term perception level for ten persuasive design characteristics. Further interview research was performed to investigate the participant's long-term perceptions on those characteristics for the purpose of identifying the durative persuasions. The results indicated that a long-term durative effectiveness can be observed and healthcare-related apps designed with those characteristics could have durative effectiveness. This study may contribute to the improvement of future mobile application designs in user experience and durative persuasion, as well as bringing future benefits for both mobile application developers and users.

Mobile Information Sharing System Based-on Android Mobile Platform (안드로이드 기반 모바일 정보공유시스템)

  • Bae, Sung-Ho;Kim, Woo-Saeng
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.2
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    • pp.58-64
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    • 2009
  • The existing note on mobile can store only text data and cannot share the data, which means that the notes stored on mobile are just seasonal or temporary memo. Therefore, this research designs an improved note on mobile and gives a chance for sharing by importing a concept of Mindmap and backup server through the internet. The mobile application is developed based on Android Platform and the server applications are developed based on Linux. These can communicate each other throughout the internet to upload and download some mindmap data.

Development of an App for Store Information Management based on NFC (NFC 기반 가게정보관리 앱 개발에 관한 연구)

  • Ahn, Ki Ho;Kim, Yong Il
    • Smart Media Journal
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    • v.2 no.3
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    • pp.39-46
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    • 2013
  • According to popularization of smart phones, we can easily see the QR code attached to products. Restaurants also provide customers with store information using QR code. Sixteen years have passed since QR code was developed. In Korea, QR code has been widely utilized in the field of marketing because of easiness of technique implementation and channel expansion to mobile. However, to recognize QR code, we should run the proper application and focus on it during loading time. To address this problem, this paper proposes the app to manage store information using NFC technology. The proposed app saves easily store information through the name card of a store and facilitates its management obtained by a smart phone.

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A Study on Comparison Analysis of Collaborative Filtering in Java and R

  • Nasridinov, Aziz;Park, Young-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1156-1157
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    • 2013
  • The mobile application market has been growing extensively in recent years. Currently, Apple's App Store has more than 400,000 applications and Google's Android Market has above 150,000 applications. Such growth in volumes of mobile applications has created a need to develop a recommender system that assists the users to take the right choice, when searching for a mobile application. In this paper, we study the recommendation system building tools based on collaborative filtering. Specifically, we present a study on comparison analysis of collaborative filtering in Java and R statistical software. We implement the collaborative filtering using Java's Apache Mahout and R's recommenderlab package. We evaluate both methods and describe the advantages and disadvantages of using them in order to implement collaborative filtering.

The Analysis of the Characteristic Types of Fashion Brand Application - Concentrating on Korean Application cases - (패션 브랜드 어플리케이션의 특징적 유형 분석 - 한국 계정 어플리케이션 사례를 중심으로 -)

  • Park, Min-A;Ko, Hyun-Zin
    • Journal of the Korean Society of Costume
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    • v.64 no.1
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    • pp.136-151
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    • 2014
  • This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.

A Study on User's Wayfinding Information-Seeking Behavior When Using the Mobile Map Application on Foot (도보 상황에서 모바일 지도 애플리케이션 이용자의 길 찾기 정보추구행위에 관한 연구)

  • Gwon, Hyeon Jeong;Lee, Jee Yeon
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.1
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    • pp.469-492
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    • 2021
  • This study aims to find an optimal method for the mobile map application to provide directions by analyzing users' behavior in wayfinding and the information referenced in the direction-finding tasks. The mobile application provided information such as 'the name of the store on the first floor,' 'current location and directions to proceed if there are multi-branching roads,' and 'alleyways.' In the visual representation of information, the application should pay attention to 'landmark elements such as subway station exits and bus stops,' 'the color of crosswalks and overpasses,' 'division between sidewalks and driveways,' and 'entry to the subway stations.' For the mobile map application to provide intuitive interaction, it is necessary to specify 'the direction toward the destination,' 'the possible rotation of the map screen,' and 'the big roads' preference guidance.'

Linear SVM-Based Android Malware Detection and Feature Selection for Performance Improvement (선형 SVM을 사용한 안드로이드 기반의 악성코드 탐지 및 성능 향상을 위한 Feature 선정)

  • Kim, Ki-Hyun;Choi, Mi-Jung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.8
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    • pp.738-745
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    • 2014
  • Recently, mobile users continuously increase, and mobile applications also increase As mobile applications increase, the mobile users used to store sensitive and private information such as Bank information, location information, ID, password on their mobile devices. Therefore, recent malicious application targeted to mobile device instead of PC environment is increasing. In particular, since the Android is an open platform and includes security vulnerabilities, attackers prefer this environment. This paper analyzes the performance of malware detection system applying linear SVM machine learning classifier to detect Android malware application. This paper also performs feature selection in order to improve detection performance.

AI Security Plan for Public Safety Network App Store (재난안전통신망 앱스토어를 위한 AI 보안 방안 마련)

  • Jung, Jae-eun;Ahn, Jung-hyun;Baik, Nam-kyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.458-460
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    • 2021
  • The provision and application of public safety network in Korea is still insufficient for security response to the mobile app of public safety network in the stages of development, initial construction, demonstration, and initial service. The available terminals on the Disaster Safety Network (PS-LTE) are open, Android-based, dedicated terminals that potentially have vulnerabilities that can be used for a variety of mobile malware, requiring preemptive responses similar to FirstNet Certified in U.S and Google's Google Play Protect. In this paper, before listing the application service app on the public safety network mobile app store, we construct a data set for malicious and normal apps, extract features, select the most effective AI model, perform static and dynamic analysis, and analyze Based on the result, if it is not a malicious app, it is suggested to list it in the App Store. As it becomes essential to provide a service that blocks malicious behavior app listing in advance, it is essential to provide authorized authentication to minimize the security blind spot of the public safety network, and to provide certified apps for disaster safety and application service support. The safety of the public safety network can be secured.

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