• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.33-41
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• 2013

In this paper, we implemented the pattern matching with the Arduino and App Inventor platform under the bluetooth mobile environment between Android phone and Arduino Platform. The combination between Arduino and App Inventor makes the feasibility of Android programming easy by wireless communications and provides the opportunity to broaden the functionality for mobile device. We used the softwares which were Arduino IDE, VC++, OpenCV, Processing and App Inventor. And also compared the performance of mobile Arduino platform with LabView GUI programming, we reduced the usage of libraries that compiled and executed the pattern matching programming. We experimented the mobile embedded platform performance under bluetooth communication and verified the functionality of the mobile Arduino platform design for identifying the pattern matching.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.89-97
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• 2017

Recent Internet of Things(IoT), and in addition to wearable PC, such as software development methodologies based on a variety of object-oriented design and design patterns of GoF(Gang of Four) with OOP(Object-Oriented Programming) intended for portable devices. However, incorrect application design specification is that the higher the importance of the optimization of the program on the device because it can cause problems such as decreased operating speed, increase the memory occupancy and battery usage. In this paper, we propose an optimized design pattern based on the method of application, such as Android (Android) OS Strategy Pattern, State Pattern, Observer pattern. Test results show that the proposed scheme selection patterns can be selected to optimize the design pattern in the device that specification.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.287-288
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• 2013

본 논문에서는 스마트폰의 확산으로 각광받고 있는 안드로이드 앱을 구현하기 위해 앱 인벤터라는 비주얼 프로그래밍 툴을 활용하는 법을 제안한다. 스마트폰 앱을 만드는 과정에서 컴퓨터 전공 초보 학생들이 느끼는 프로그래밍 언어 문법의 어려움을 최대한 덜어주고 문제해결능력과 논리 교육을 우선시함으로써 프로그래밍에 대한 재미와 흥미를 느끼게 해준다. 이로 인해 학생들의 중도탈락을 예방하고 전공 취업률을 높이는 효과를 기대할 수가 있다. 본 논문에서는 앱 인벤터를 통해 학생들이 구현한 간단한 예제를 살펴보고 교육적 효과와 활용 방안을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.337-338
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• 2015

최근 다양한 모바일 기기를 통한 여러 가지 문제지가 등장하고 있다. 본 논문에서는 여러 종류의 기출문제를 풀고 답을 확인할 수 있는 문제지를 개발하고자 한다. 먼저 로그인 폼을 만들어 회원정보를 담고 여러 가지 문제를 입력하여 문제지를 만들고 문제를 다 풀면 자동으로 채점을 하여 일일이 점수를 계산하는 시간낭비를 줄였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.295-298
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• 2016

본 논문에서는 안드로이드 기반의 효율적인 모바일 소프트웨어 개발을 위한 로그 서비스 관리 모델을 제안한다. 제안한 모델은 관점지향 프로그래밍을 적용하여 로깅 대상의 변경 없이 로그를 획득하며, 획득한 로그를 원격 호출 인터페이스를 사용하여 로깅 관리자에 전달한다. 로그 관리자는 안드로이드 기본 컴포넌트인 서비스 형태로 구성하며, 로깅 대상 어플리케이션 수행에 독립적으로 로그를 관리한다. 제안한 모델은 로깅을 위한 어플리케이션 변경을 최소화하고, 로깅이 어플리케이션 실행에 미치는 영향을 감소시킬 수 있다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.10
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• pp.1518-1523
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• 2012

In this study, the novel digital filtering algorithms are implemented to suppress the noisy characteristics embedded in ambulatory electrocardiogram signals by an android smartphone platform. With this aim, Graphical User Interface (GUI) is designed and implemented by utilizing multithread-Java programming to realize Finite Impulse Response and Infinite Impulse Response filter. With simulating our implemented digital filters built in an android smartphone, we can find the fact that we can efficiently suppresses the noisy characteristics due to baseline wandering and 60 Hz powerline source fluctuations especially in electrocardiograms.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.137-140
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• 2012

본 논문에서는 소프트웨어 제작 경험이 없는 사용자들이 쉽게 application을 만들고 이를 스마트폰에 설치해 사용할 수 있도록 하는 Android 기반의 application 제작 툴을 개발하였다. 개발된 툴을 이용하여 전화번호부, 사진첩, 100일 기념 application을 제작했고 스마트폰에서 동작을 확인하였다. 본 논문에서 개발된 툴을 이용하면 사용자는 프로그래밍 없이도 화면 구성 및 여러 동작을 구현해내고 스마트폰에 부착되어 있는 센서들을 활용하는 application 을 쉽게 제작할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.681-684
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• 2013

This paper compares the Java program environments and NDK program environments in the Android system. This paper experiments that how much is the performance enhancement in the NDK C programming of the Android system. I program sum of 1 to n for Java program and NDK C program. I experiment whether the influence an effect on a performance by changing n value. In experiment, NDK C program is over 50% performance enhancement than Java program.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.10
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• pp.940-948
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• 2012

Android program is developed with JAVA SDK and executed over virtual machine. For this reason, programming is easier than traditional C language but performance of operating speed decreases. To enhance the performance, NDK development tool, which provides C language, assembly language environment, was proposed. Furthermore, with NEON function provided by ARM, we can utilize the vector operation and enhance performance. In the paper, we explore effectiveness of NDK and then propose advanced multiplication structure with NEON function.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.6
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• pp.865-871
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• 2012

In this study, ambulatory electrocardiogram(ECG) signal and the rhythms of heart beats are visualized in terms of R-R intervals and Heart Rate Variability(HRV) in the environment of an android plaform. With this aim, Graphical User Interface(GUI) is implemented by executing multi-thread Java programming modules including ECG, heart-beats, tachogram and visualization unit. ECG signals are acquired in an android device by receiving the data from ambulatory ECG sensory system. Finite Impulse Response(FIR) filters are implemented to eliminate the baseline wandering noises contained in the ambulatory signals and DC-offset level in R-R interval data. With simulating the normal or stress emotional state of a subject, we can find the fact that HRV can be successfully estimated and visualized in an android smart phone platform.