• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.92-99
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• 2012

According to the scale of mobile applications has been expanded, the high coupled application combined mobile and web service are growing. The growth of mobile application's size means that predicting design for variability should be involved. If mobile application's change is occurred, application should be reinstalled totally. However this reinstallation can raise side-effects in case of high-coupling application. Therefore, this paper proposes a technique of customization for changing web service protocol as the mobile applications are connected with web service in android platform. Proposed protocol customization technique is consist of selection and plug-in technique.

• Journal of the Institute of Convergence Signal Processing
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• v.15 no.3
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• pp.76-79
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• 2014

Face recognition is very challenging because of the unexpected changes of pose, expression, and illumination. Facial detection in the mobile environments has additional difficulty since the computational resources are very limited. This paper discusses face detection based on frequency domain matched filtering in the mobile environments. Face detection is performed by a linear or phase-only matched filter and sequential verification stages. The candidate window regions are selected by a number of peaks of the matched filtering outputs. The sequential stages comprise a skin-color test and an edge mask filtering tests, which aim to remove false alarms among selected candidate windows. The algorithms are built with JAVA language on the mobile device operated by the Android platform. The simulation and experimental results show that real-time face detection can be performed successfully in the mobile environments.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.379-385
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• 2012

This paper suggests U-healthcare system for individual health management realizing the gateway, client, and Java-based network server by using the vital signal measuring system and android-based mobile platform. This study realized the vital signal measuring system based on the technology to measure the ECG, oxygen saturation, blood pressure, and respiration, etc. And all the information of measurement was transmitted to the mobile gateway using the 3-bite transmission protocol consisting of headers and data. The data transmitted to the mobile gateway was used to examine the mobile client's personal health indexes through the network server. This paper realized and tested the android-based gateway, client, and the broadcasting network server and verified their validity with simulations and actual humans. As a result, the U-healthcare system suggested was proved to be effective in managing each individual's health from short distance and long distance. And it could examine each individual's health conditions in real-time and was found to be advantageous in that it could secure the guardian's mobility.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.9
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• pp.991-998
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• 2014

Embedded System operates hardware installed like processor, memory device, various input/output devices and software to control them. This thesis presents MPU module and Base board which are efficient industrial control through design and manufacture as developing S5PV210 CPU of SAMSUNG used by ARM Cortex-A8 based on Android which is Open mobile platform is installed to embedded system. Data for temperature and humidity which are received by CAN communication module proved the suitability and validity for the embedded platform design as implementing application program employed the native App with Linux Kernel based on the Android OS and application of HTML5.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.8
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• pp.1551-1559
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• 2015

Recently, the performance of smart devices is almost similar to that of the existing PCs, thus the users of smart devices can perform similar works such as messengers, SNSs(Social Network Services), smart banking, etc. originally performed in PC environment using smart devices. Although the development of smart devices has led to positive impacts, it has caused negative changes such as an increase in security threat aimed at mobile environment. Specifically, the threats of mobile devices, such as leaking private information, generating unfair billing and performing DDoS(Distributed Denial of Service) attacks has continuously increased. Over 80% of the mobile devices use android platform, thus, the number of damage caused by mobile malware in android platform is also increasing. In this paper, we propose android based malware detection mechanism using time-series analysis, which is one of statistical-based detection methods.We use auto-regressive moving-average model which is extracting accurate predictive values based on existing data among time-series model. We also use fast and exact malware detection method by extracting possible malware data through Z-Score. We validate the proposed methods through the experiment results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.711-714
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• 2014

Recently, the our country has a geriatric dementia patients with poor social welfare policies for the State because it's got a patient exodus and disappearance increases and can cause serious problems socially. The dissemination and the development of communication technologies and smart devices with mobile applications in the diagnosis of dementia through mobile devices and applications, interactions, the Inspector, on behalf of the dementia self-diagnostics, with the possibility of that feature will be able to meet. Therefore, the dissemination of the use of the EEG analysis of patient in the hatch every smart phones use the law hatch proposes a service model for every patient. Proposed dissertation smart service model on the Android platform and identify the symptoms of dementia patients around as a reminder to the patient can be easily managed.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.23 no.3
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• pp.237-251
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• 2019

We extend the previous work [J. Korean Soc. Ind. Appl. Math. 21(3) 181] to two-and three-asset equity-linked securities (ELS). In the real finance market, two-or three-asset ELS is more popular than one-asset ELS. Therefore, we need to develop mobile platform for pricing the two-and three-asset ELS. The mobile implementation of the ELS pricing will be very useful in practice.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.157-164
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• 2012

This paper introduces an implementation of SVC player which runs on Android platform and can play SVC video stream on line from SVC video server. SVC(Scalable Video Coding) is a scalable video encoding technique which supports three scalability such as temporal scalability, spatial scalability, and quality scalability. To implement the SVC player on Android, we implemented a SVC decoder using JSVM open source written in C/C++ as a native part on Android and developed Android UI in Java. Also we built an SVC encoding system off line and an SVC streaming server to conduct on-line SVC streaming experiments. Finally, after we installed the SVC player developed in this paper on Motoroi mobile phone, we evaluated and analyzed on-line streaming performance of the SVC player. The result showed that the player worked well and it had no jitter in streaming with the size of QCIF and 10fps from a fully encoded SVC video source.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.190-192
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• 2019

Not only learners majoring in computer science, but also non-engineered learners want to implement their ideas as apps through real-life problems. In response, first-year university students with little experience in creating apps studied how to develop mobile platform apps to improve computing thinking skills. We applied the teaching and learning procedures of the Discovery-Design-Development among the software teaching and learning models, and used Android Studio Unified Development Environment (IDE) as a development tool to design mobile platform app development projects and assess whether they helped improve computing thinking skills. The application of the designed teaching and learning method found that the project output was implemented as an app through emulator, which gave students high interest in class and satisfaction, and was effective in improving their computing thinking ability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.66-68
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• 2012

본 논문에서는 자체 개발한 Java Platform 기반의 뇌파 분석 도구와 Android 기반의 Mobile 기기를 연계하여 중증 장애인의 상태 및 상황 등을 모니터링 할 수 있는 시스템을 제시한다. 제안된 시스템은 뇌파 측정기, 뇌파 분석 툴(PC Client) 그리고 Mobile 기기(Android)로 크게 3부분으로 구성된다. 뇌파 측정기로부터 수집된 원 주파수에서 저주파 대역의 잡음을 제거하기 위해 고주파 필터를 적용한 후, 적용된 데이터를 주파수 영역에서 분석하기 위해 FFT를 적용한다. FFT를 적용한 데이터를 Power Spectrum 분석 기법을 이용하여 Theta, Delta, Alpha, SMR, Beta 파형의 값을 추출하고, 14 채널의 뇌파 측정 위치에 따른 상관관계 분석기법을 통해 중증 장애인의 상태를 표현한다. 본 논문에서 제안한 방법으로 실험한 결과, 중증 장애인 모니터링 시스템에 효율적으로 적용되는 것을 확인하였다.