• Title/Summary/Keyword: Android smart phone

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Implementation of School Finding Application in the Smart Phone (스마트 폰을 이용한 학교 찾기 어플리케이션 구현)

  • JANG, Seung-Ju
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.3
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    • pp.102-112
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    • 2015
  • In this paper we propose an application that can help you to find a school near you easily using smart phone GPS capabilities and Google map mounted on Android system. We use a shortest path algorithm to search near destinations. You can take advantage of the developed application when finding public places or destinations. Schools have usually been used as places for disaster evacuation, entrance examination, and qualifying examination. Even though you are not the young who use the smart phone easily, anyone can find a destination school easily with the proposed application of this paper.

Gate Management System by Face Recognition using Smart Phone (스마트폰을 이용한 얼굴인식 출입관리 시스템)

  • Kwon, Ki-Hyeon;Lee, Hyung-Bong
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.11
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    • pp.9-15
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    • 2011
  • In this paper, we design and implement of gate management system by face recognition using smart phone. We investigate various algorithms for face recognition on smart phones. First step in any face recognition system is face detection. We investigated algorithms like color segmentation, template matching etc. for face detection, and Eigen & Fisher face for face recognition. The algorithms have been first profiled in MATLAB and then implemented on the Android phone. While implementing the algorithms, we made a tradeoff between accuracy and computational complexity of the algorithm mainly because we are implementing the face recognition system on a smart phone with limited hardware capabilities.

Lightweight aircraft navigation system using smart devices Design and Implementation (스마트 기기를 이용한 경량 항공기 내비게이션 시스템 설계 및 구현)

  • Jeong, Seong-Woo;Park, Yoo-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.2
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    • pp.288-295
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    • 2012
  • Recently personal income level is rising. So, many people use the leisure lightweight aircraft and the population which enjoys a leisure is increasing. But as the leisure lightweight aircraft compares in the civil aircraft and the military aircraft, and it has a low price. So the equipment which it is loaded in the lightweight aircraft is not equipped. In this paper, we develop the air navigation for lightweight aircraft using the smart phone(iPhone, Android phone, Window mobile, BADA phone etc.) and the smart pad(iPad, Galaxy Tab etc.).

A Modeling Technique for Development of Mobile App. based on Android (안드로이드 기반의 모바일 앱 개발을 위한 모델링 기법)

  • Cho, Eun-Sook;Kim, Chul-Jin;Lee, Sook-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.8
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    • pp.3999-4005
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    • 2013
  • We forecast that the scale of mobile market will be large scale according to the twenty million times of smart phone's user is arrived. The type of software development is being transferred into mobile-based App. or cloud computing-based service from web-based software. Currently both Google's android and Apple's IOS are known for two prominent platforms. Existing modeling techniques cannot be applied into the case of mobile application which is executed those platforms. Therefore, we suggest a modeling technique that is customized existing modeling techniques into android-based software development. That is, we propose an analysis and design techniques which are needed into android-based mobile smart environment.

Developing Advanced Location-Based Route-Search Service for Smart-phones (진보된 스마트폰용 위치 기반 경로 검색 서비스 개발)

  • Pak, Woo-Guil;Lim, Sung-Man;Oh, Han-Joon;Yu, Kwang-Hyun;Kwon, Min-Young;Lee, Hee-Seung;Choi, Young-June
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.173-180
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    • 2011
  • Various smart-phone applications for location-based service are enabled through mobile communications such as 3G and WiFi. We have developed MARS, an advanced location-based route-search application based on the Android platform. It provides three functions: route-registration, route-search, and route-evaluation. These functions are dynamically maintained by a web server, a database server, and user mobile terminals. As users can update location information using their smart-phone devices, servers provide the information and allow users to add, modify, and remove their own information as well as adding comments to others, while existing map services do not support direct inputs from users. We show our implementation process and demonstration of its operations. We also show the comparison results with existing services. Through these results, we can confirm that MARS can achieve better performance.

Development of Cultural Contents using Auger Reality Based Markerless Tracking

  • Kang, Hanbyeol;Park, DaeWon;Lee, SangHyun
    • International journal of advanced smart convergence
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    • v.5 no.4
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    • pp.57-65
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    • 2016
  • This paper aims to improve the quality of cultural experience by providing a three - dimensional guide service that enables users to experience themselves without additional guides and cultural commentators using the latest mobile IT technology to enhance understanding of cultural heritage. In this paper, we propose a method of constructing cultural contents based on location information such as user / cultural heritage using markerless tracking based augmented reality and GPS. We use marker detection technology and markerless tracking technology to recognize smart augmented reality object accurately and accurate recognition according to the state of cultural heritage, and also use Android's Google map to locate the user. The purpose of this paper is to produce content for introducing cultural heritage using GPS and augmented reality based on Android. It can be used in combination with various objects beyond the limitation of existing augmented reality contents.

Development of the Evaluation Training Application in Smart-Learning Environment (스마트 러닝 환경에서의 평가학습 애플리케이션 개발)

  • Kim, Jung-A;Kim, Eun-Gil;Kim, Jong-Hoon
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.59-65
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    • 2011
  • The purpose of this paper is to develop an application that utilizes educational tools on the Smart-Phone, which will make it possible for student education in any environment. Strengths that a Smart-Phone application has include always being carried by the student, short boot time to open the program and rather than having to use a traditional computer for access. Tests can be taken repeatedly, so students prepare before class and keep their motivation level high, thus raising overall test outcomes.

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Implementation of Android application to judge the daily route deviation via the GPS information on smart phones (스마트폰의 GPS 정보를 이용한 일상 경로 이탈 판단 어플리케이션 구현)

  • Cha, Kyung-Ae;Hyun, Sung-Young
    • Journal of Korea Society of Industrial Information Systems
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    • v.18 no.3
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    • pp.27-34
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    • 2013
  • As smart phone is daily used by most people, various location-based applications have been developed. Moreover, it is increased the requirements of location-based services that utilize Google maps, GPS sensing information and etc.. In this paper, we develop a smart phone application providing notification services by detecting the daily route deviation. We develop the server system which receives GPS information gathering from user's smart phone and analyse the user's regular routes. With the results from the analyzation the GPS coordinates, the application on a smart phone detects the case of a breakaway from regular routes. And then it can inform automatically and immediately the designed person such as guardians of children or the old and the infirm of the route deviation so will be helpful to protect such person. This is one example of the effectiveness of the application. Moreover, the application is developed on the client-server framework, thus it is very useful to judge the user's daily route deviation in realtime by using the accumulated information on the corresponding DB. Finally we evaluated the proposed methods which had been implemented on smart phones and show the utilities of the application.

Code Signing of Smart Phone Application (스마트 폰 어플리케이션의 코드서명)

  • Yoo, Jae-Sung;Kim, Hak-Hyun;Choi, Dong-Hyun;Won, Dong-Ho;Kim, Seung-Joo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2010.07a
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    • pp.281-284
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    • 2010
  • 스마트 폰 사용자의 증가와 개발자들의 참여가 확대되면서, 다양한 스마트 폰 어플리케이션들이 배포되고 있다. 스마트 폰의 운영체제 공급자들은 개발된 어플리케이션을 직접 또는 개발자에게 위임하여 테스트하고 어플리케이션 설치파일의 코드를 서명하여 사용자에게 배포한다. 여기서 코드 서명은 개발자의 확인과 동시에 어플리케이션이 배포과정에서 수정되지 않았음을 보장한다. 사용자 측면에서는 이런 서명이 어플리케이션의 안전성을 판단 할 수 있는 유일한 기준이 된다. 하지만, 코드 서명을 우회하거나 어플리케이션의 설치파일 코드를 수정할 수 있는 방법이 나타나게 되었고, 이것은 사용자가 악성 프로그램을 설치하는 보안 문제로 이어질 수 있다. 본 논문에서는 각 스마트 폰 운영체제별, 어플리케이션의 안전하지 못한 코드 서명으로 발생하는 보안문제를 서술하고, 스마트 폰 어플리케이션의 안전한 코드 서명을 위해 필요한 요구사항에 대해서 논의한다.

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Lane Detection System Development based on Android using Optimized Accumulator Cells (Accumulator cells를 최적화한 안드로이드 기반의 차선 검출 시스템 개발)

  • Tsogtbaatar, Erdenetuya;Jang, Young-Min;Cho, Jae-Hyun;Cho, Sang-Bock
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.1
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    • pp.126-136
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    • 2014
  • In the Advanced Driver Assistance Systems (ADAS) of smart vehicle and Intelligent Transportation System (ITS) for to detect the boundary of lane is being studied a lot of Hough Transform. This method detects correctly recognition the lane. But recognition rate can fall due to detecting straight lines outside of the lane. In order to solve this problems, this paper proposed an algorithm to recognize the lane boundaries and the accumulator cells in Hough space. Based on proposed algorithm, we develop application for Android was developed by H/W verification. Users of smart phone devices could use lane detection and lane departure warning systems for driver's safety whenever and wherever. Software verification using the OpenCV showed efficiency recognition correct rate of 93.8% and hardware real-time verification for an application development in the Android phone showed recognition correct rate of 70%.