• 대한임베디드공학회논문지
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• 제6권4호
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• pp.223-229
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• 2011

A novel ecosystem surrounding developing, publishing and using of smartphone applications is driving a new paradigm in software industry. Thousands of applications are newly published on appstores everyday. However more than 97% of them happen to be downloaded less than 1,000 times and resultingly disappeared out of user's interesting. It means that so many efforts and time of developers are vanished. In this paper, we proposed a new architecture to increase code reusability of Android applications so that the time and efforts to develop new applications can be shortened. The proposed architecture, an extended Intent mechanism, supports sharing of Android components among the applications registered in different servers as well as in the same Android device. We designed a new Intent mechanism by extending the PackageManager service and by adopting a new class for ServerPackageManager service.

• 정보과학회 논문지
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• 제43권11호
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• pp.1259-1269
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• 2016

스마트폰에 저장되어 있는 정보가 타인에게 접근되는 것을 막기 위해 스마트폰 인증은 매 스마트폰 사용 시 마다 다양한 방법으로 스마트폰 소유자의 여부를 확인한다. 그러나 이러한 매 사용 마다의 인증은 사용자들의 불편함을 야기하며, 때로는 인증방법을 사용하지 않게 하는, 궁극적으로 스마트폰 보안의 치명적인 문제로 작용한다. 본 연구에서는 안드로이드 환경에서 위의 문제를 해결하기 위한 지속 인증 방법을 제안한다. 제안 방법에서 스마트폰들은 사용자들의 과거 경험을 이용하여 그들의 위험을 인식하고 사용자 인증이 필요한지의 여부를 결정한다. 인증은 높은 위험이 있는 상황에서만 진행되기 때문에 제안 방법은 높은 위험도 상황일 경우에는 높은 안전성을, 그리고 낮은 위험도 상황에서는 사용자 편리성을 제공한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4658-4679
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• 2017

Android is now the most popular smartphone platform and remains rapid growth. There are huge number of sensitive privacy information stored in Android devices. Kinds of methods have been proposed to detect Android malicious applications and protect the privacy information. In this work, we focus on extracting the fine-grained features to maximize the information of Android malware detection, and selecting the least joint features to minimize the number of features. Firstly, permissions and APIs, not only from Android permissions and SDK APIs but also from the developer-defined permissions and third-party library APIs, are extracted as features from the decompiled source codes. Secondly, feature selection methods, including information gain (IG), regularization and particle swarm optimization (PSO) algorithms, are used to analyze and utilize the correlation between the features to eliminate the redundant data, reduce the feature dimension and mine the useful joint features. Furthermore, regularization and PSO are integrated to create a new joint feature mining method. Experiment results show that the joint feature mining method can utilize the advantages of regularization and PSO, and ensure good performance and efficiency for Android malware detection.

• 디지털융복합연구
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• 제10권3호
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• pp.149-154
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• 2012

본 논문은 Seam 프레임워크 환경에서 안드로이드 스마트폰 기반의 모바일 웹앱 오피스 JPetStore 주문시스템의 설계 및 구현을 하는데 목적이 있다. 현재까지 경량 컨테이너 아키텍처로 현업에서 많이 잘 알려진 아키텍처로 Seam 프레임워크가 있다. 그러나 Seam 프레임워크 환경에서 모바일 웹앱 오피스의 분석 및 설계를 통한 구현 사례는 없었다. 따라서 본 연구에서는 Seam 환경에서 안드로이드 기반으로 모바일 웹앱 오피스 JPetStore 주문시스템을 분석 및 설계한 후 구현함으로써 모바일 웹앱 오피스의 개발을 위한 참고 방향을 제공하고자 한다.

• 전기학회논문지
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• 제63권7호
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• pp.987-993
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• 2014

Pitching machines have been around for many years for casual amusement purpose or professional athletes' training usage, and so forth. The current pitching machines are usually built on the firm ground and do not have any mobility function. In this paper, we develop a pitching machine that has both ball-shooting and mobility functions. Our developed pitching machine consists of two parts. The upper body part has a function of shooting a ball using two DC motors and the lower body part has a function of mobility like mobile robots by using two wheels governed by DC motors. All these functions are operated wirelessly by Android smartphones via bluetooth. The control of each DC motor is done by ${\epsilon}$-PID control method in which the gain tuning is simplied by using a single parameter ${\epsilon}$. Simulation and actual experiment show that our developed pitching machine has both nontrivial shooting and mobility features.

• 한국산학기술학회논문지
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• 제13권9호
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• pp.4193-4199
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• 2012

본 연구에서는 안드로이드 기반 스마트폰을 장착하여 지능형 로봇의 성능 구현이 가능하도록 스마트폰 애플리케이션과 로봇 플랫폼을 설계 및 구현하였다. 터치스크린, 사운드 입출력, 네트워크 그리고 각종 센서 기능을 갖고 있는 스마트폰을 전원부와 모터 등의 단순 기능을 갖는 로봇플랫폼에 접목시켜 원격제어, 홈오토메이션, 게임기, R-러닝 등의 기능을 수행할 수 있도록 구현하였다. 연구에 사용된 스마트폰은 블루투스 통신을 이용하여 로봇과 데이터를 송수신하며 원격지의 컴퓨터와는 WI-FI를 통해 인터넷으로 통신을 수행하도록 설계 하였다.

• 인터넷정보학회논문지
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• 제19권3호
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• pp.1-6
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• 2018

Widely used around the world, smartphones contain many features and can store content such as contacts, photos, and videos. Information that can be leaked in proportion to the information that the smartphone can store has also been increased. In recent years, accidents such as personal information leakage have occurred frequently. Personal information leakage is happening in the Android environment, which accounts for more than half of the smartphone operating system market share. Analyzing malicious apps that leak information can tell you how to prevent information leakage. Malicious apps that leak information will send importantinformation to the hacker's (C & C) server, which will use network communication. Malicious apps that are emerging nowadays encrypt and transmit important information through SSL communication. In this case, it is difficult to knowwhat kind of information is exposed to network. Therefore, we suggest a method to analyze malicious apps when leak important information through SSL communication. In this paper, we identify the way malicious apps leak information. And we propose a method for analyzing information leaked by SSL communication. Data before encryption was confirmed in the device through SSL hooking and SSL Strip method.

• Advances in nano research
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• 제15권2호
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• pp.155-163
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• 2023

Exercise is beneficial to the body in some ways. It is vital for people who have heart problems to perform exercise according to their condition. This paper describes how an Android platform can provide early warnings of fatigue during wushu exercise using Photoplethysmography (PPG) signals. Using the data from a micro-electro-mechanical system (MEMS) gyroscope to detect heart rate, this study contributes an algorithm to determine a user's fatigue during wushu exercise. It sends vibration messages to the user's smartphone device when the heart rate exceeds the limit or is too fast during exercise. The heart rate monitoring system in the app records heart rate data in real-time while exercising. A simple pulse sensor and Android app can be used to monitor heart rate. This plug-in sensor measures heart rate based on photoplethysmography (PPG) signals during exercise. Pulse sensors can be easily inserted into the fingertip of the user. An embedded microcontroller detects the heart rate by connecting a pulse sensor transmitted via Bluetooth to the smartphone. In order to measure the impact of physical activity on heart rate, Wushu System tests are conducted using various factors, such as age, exercise speed, and duration. During testing, the Android app was found to detect heart rate with an accuracy of 95.3% and to warn the user when their heart rate rises to an abnormal level.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 추계학술대회
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• pp.609-612
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• 2010

스마트폰(smartphone)은 휴대전화에 인터넷 통신과 정보검색 등 컴퓨터 지원 기능을 추가한 지능형 단말기로서 사용자가 원하는 어플리케이션(application)을 설치할 수 있는 것이 특징으로, 현 시대에 있어 하나의 문화가 되었을 정도로 크나큰 이슈가 되고 있고, 어플리케이션 개발 시장도 활발해졌으며, 크게 성장하고 있다는 점이다. 대중교통정보 어플리케이션의 사용 빈도가 높은 편이긴 하나, 유동인구 빈도수가 높은 수도권과 광역시 지역 중심으로 제공되는 있는 실정이다. 본 논문에서는 GPS(Global Positioning System) 기능이 활성화 되지 않은 지방지역 실정을 고려하여 안드로이드 플랫폼(android platform)을 이용한 스마트폰 기반 스쿨버스 어플리케이션 설계와 구현을 제안하려 한다.

• International Journal of Internet, Broadcasting and Communication
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• 제10권3호
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• pp.65-72
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• 2018

The purpose of this study was to assess the intra-tester and inter-tester reliability and validity of elbow flexion range of motion using a smart phone used by the general public. Thirty-one general people participated in this study. The range of motion in active elbow flexion was measured with a goniometer and smart phone over two times by two observers. The intra-taster and inter-tester reliability were evaluated using the intraclass correlation coefficient(ICC). The validity was measured by Pearson's correlation coefficient. The intra-observer reliability was good in all measured items ICC>0.900. The inter-observer reliability was high with ICC>0.806. All correlation coefficients of android app and goniometer were greater than 0.868 and showed a significant positive correlation (p<0.01). The range of motion measurement with a smart phone showed acceptable reliability. Therefore, using a smartphone to measure the range of motion of the elbow joint could provide convenience and economic benefits.