• The KIPS Transactions:PartC
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• v.18C no.3
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• pp.151-156
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• 2011

Google Android, which is one of the popular smart phone platforms, employs a security model based on application permissions. This model intends to reduce security threats by protecting inappropriate accesses to system resources from applications, but this model has a few problems. First, permission requested by an application cannot be granted selectively. Second, once the permission has been granted it is maintained until the application is uninstalled. Third, applications may acquire powerful permissions through user ID sharing without any notice to users. In order to overcome these limitations, we designed and implemented a flexible application permission management scheme. The goal of our scheme is to enhance security and user convenience while keeping compatibility to original platform. We also verified the operation of our scheme with real applications on Android emulator.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.1-10
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• 2020

The mobile application based on the Android platform is simple to decompile, making it possible to create malicious applications similar to normal ones, and can easily distribute the created malicious apps through the Android third party app store. In this case, the Android malicious application in the smartphone causes several problems such as leakage of personal information in the device, transmission of premium SMS, and leakage of location information and call records. Therefore, it is necessary to select a optimal model that provides the best performance among the machine learning techniques that have published recently, and provide a technique to automatically identify malicious Android apps. Therefore, in this paper, after adopting the feature engineering to Android apps on official test set, a total of four performance evaluation experiments were conducted to select the machine learning model that provides the optimal performance for Android malicious app detection.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.151-156
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• 2013

Android that was made by Google and Open Handset Alliance is the open source software toolkit for mobile phone. In a few years, Android will be used by millions of Android mobile phones and other mobile devices, and become the main platform for application developers. In this paper, the integrated login application based on Google's Android platform is developed. The main features of the mobile combination login application content based on Android are as follows. First, the application has more convenient login functionality than the functionality of general web browser as the web browser of the mobile-based applications(web browser style applications) as well as security features and faster screen(view) capability by reducing the amount of data transfer. Second, the application is so useful for management of ID and Password, and it can easily manage multiple ID information such as message, mail, profile. The results of performance evaluation of the developed application show the functionality that can login many kinds of portal sites simultaneously as well as the ability that can maintain login continuously. Currently, we are trying to develope a couple of the technologies that can insert multiple accounts into one ID and check all information on one screen.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.11-24
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• 2019

Using cross-platform development frameworks, mobile app developers can easily implement mobile apps for multiple platforms in one step. The frameworks also provides adversaries with the ability to write malicious code once, and then run it anywhere for other platforms. In this paper, we analyze the ratio of benign and malicious apps written by cross-platform development frameworks for Android apps collected from AndroZoo's site. The analysis results show that the percentage of benign apps written in the frameworks continues to increase, accounting for 45% of all benign apps in 2018. The percentage of malicious apps written in the frameworks accounted for 25% of all malicious apps in 2015, but that percentage has declined since then. This study provides useful information to make a suitable choice when app developers face several challenges in cross platform app development.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1209-1213
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• 2010

This paper presents a technique for an Android mobile device to best utilize its surrounding external display device such as high-definition TV, in order to overcome the size and resolution limitation of the small LCD in the mobile device. Unlike current techniques that simply expand the LCD screen image to an external large display, our technique dynamically changes the resolution adapting to capability of the external display. And, the original screen become a remote controller.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.797-807
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• 2016

The discussion in this paper aims to introduce an approach to detect drowsiness with Android based smartphones using the OpenCV platform tools. OpenCV for Android actually provides powerful tools for real-time body's parts tracking. We discuss here about the maximization of the accuracy in real-time eye tracking. Then we try to develop an approach for detecting eye blink by analyzing the structure and color variations of human eyes. Finally, we introduce a time variable to capture drowsiness.

• Journal of Fisheries and Marine Sciences Education
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• v.23 no.2
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• pp.234-243
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• 2011

Mindmap is effective method to analyze informations. And, through mindmap, students can be able to grow their ability of logical reconstruction. In Modern society, people have been developing IT technology and variety of portable devices. So, Educational environments have been being changed accordingly, too. In this study, we have implemented mindmap application that based on android to share the group member's thinking. To effective sharing, we have used mindmap technique and photo attachment feature. In this study, expert evaluation has been carried out by elementary current teachers. In result of this expert evaluation, we have obtained positive feedback at sharing function, input technique and information display. Also, teachers have gave feedbacks that they are willing to use this application in class, if classroom environment is possible.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.401-404
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• 2013

생활 폐기물매립지의 효율적인 관리를 위하여 매립장 내 매립작업 진척상황과 매립작업 관리를 24시간 관리 체계를 구축하고 이를 안드로이드 기반 영상감시 시스템과 연계함으로써 시설 관리자의 상시 감시 체계를 완성하였다. 이는 매립 진척 상황과 침출수 관리를 관리사무소의 관제시스템에서만 관찰하게 되어 있어 기상변화와 위급상황에 대처능력이 전무한 실정이다. 이번 연구를 통해서 매립시설 운영자가 외부에 있는 경우에도 매립지 전경 및 침출수 상황을 관찰을 할 수 있도록 모바일 네트워크를 이용해 외부에서도 매립지 관찰을 할 수 있는 스마트폰 앱을 개발하여 24시간/365일 매립지 관찰을 할 수 있는 환경을 제공하고자 한다. 이러한 기본 개념들을 실제 안성시 생활 폐기물 매립장에 적용하기 위한 시스템 아키텍처 및 지능형 CCTV 컨트롤 시스템 스키마 등을 연구하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.221-222
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• 2018

본 논문에서는 android의 accelerometer sensor를 활용하여 예기치 못한 상황에 사용자를 보호 할 수 있는 어플리케이션을 설계하고 구현한다. 이 어플리케이션은 스마트폰을 흔들 때 accelerometer sensor가 센싱하여 어플리케이션을 자동으로 실행한다. 또한 경광등 소리를 울리고 사용자의 위치정보를 어플리케이션에 저장된 지인의 연락처로 전송한다. 사용자는 자신이 빈번하게 다니는 경로를 저장할 수 있으며, 이 경로에 대한 정보를 연락처에 저장된 지인들에게 제공한다. 이 어플리케이션을 사용하는 사용자는 범죄로부터 자신을 지키고, 위험한 경우 주변 사람들에게 도움을 요청할 수 있는 기능을 제공한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.117-118
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• 2017

본 논문에서는 NFC와 블루투스 기능을 이용한 Android 플랫폼 기반의 버스 정보 알림 애플리케이션을 설계하고 구현하였다. 이 애플리케이션은 NFC Tag read 모듈과 블루투스 통신 모듈로 구성하였으며, NFC Tag read 모듈은 NFC Tag에 저장된 버스 정류장 정보를 읽는 기능을 제공하고, 블루투스 통신 모듈은 아두이노를 이용하여 구현한 블루투스 통신장치로부터 전송받은 교내 버스의 현재 위치를 실시간으로 '버스타요' 앱에 전송받는 기능을 제공하도록 하였다. 이 앱을 통하여 교내 버스를 이용하는 학생들이 보다 편리하게 정보를 확인할 수 있도록 하였다.