• Title/Summary/Keyword: GCM Service

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Development of Vehicle Status Alerts System for Personal Information Leakage Protection using the NFC-based GCM Service (개인정보 유출 방지를 위한 NFC 기반 GCM 서비스를 이용한 차량 상황 알림 시스템 개발)

  • Kang, Hyun-Min;Choi, Hyun-Su;Cha, Kyung-Ae
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.317-324
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    • 2016
  • This paper proposes a message transfer application using smartphone with NFC(Near Field Communication) and GCM(Goolge Cloud Messaging) technology for prevention of personal information leakage. In implementing for the proposed system, we design a NFC-based vehicle status alerts service which make it possible to communicate with smartpone message without phone-number between a car driver and an unspecified person. The application provides message communication mechanism without exposing the real phone number, using the NFC tag written with the driver's smartphone device ID and GCM push messages. Through the evaluation result of the actual implemented application, the proposed system can be efficient technology in protection for leakage of personal information such as personal phone- number in daily life.

A Mobile Customization Technique using Push Service (푸시 서비스를 이용한 모바일 커스터마이제이션 기법)

  • Jung, Chang-Hun;Ye, Jun-Ho;Kim, Chul-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4498-4506
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    • 2013
  • Due to smart work, the variety of tasks are performed in the mobile environment. According to the main flow, it is required to provide the various business services and change the business services instantly. Thus, in this paper, we propose a mobile customization technique for changing mobile services in real time. The mobile customization technique of this paper propose the customization architecture and process that is based on GCM's push service of Google and Intent technology of Android.

Motion Recognition of Mobile Phone for data sharing based on Google Cloud Message Service (Google 클라우드 메시지 서비스 기반의 데이터 공유를 위한 모바일 폰의 모션 인식)

  • Seo, Jung-Hee;Park, Hung-Bog
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.1
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    • pp.205-212
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    • 2019
  • With the rapid spread of mobile phones, users are continuously interested in using the mobile phone in connection with personal activities. Also, increasingly users want to share (transmit and receive) and save data more easily and simply in the mobile environment. This paper suggests motion recognition of mobile phone to share personal information with any people located within a certain distance using location-based service with GCM service. The suggested application is based on Google Cloud Messaging which enables asynchronous communication with the mobile applications executed in Android operating system. The requirements of light-weight mechanism can be satisfied as it is possible to access sharing of personal information easily, simply and in real time through all mobile devices anywhere.

Development of Reliable Push Notification Middleware and Module based on Smart Phone (스마트폰 기반의 신뢰성 있는 Push Notification 미들웨어 및 모듈 개발)

  • Jung, Joon-Seok;Kim, Tae Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.3
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    • pp.754-760
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    • 2014
  • Push Notification Service technology is to provide platform competition rather than unit-based technology. In Korea, only the type of a service using the technology provided by this main platform has been studied and the study of the based technology has not been developed consistently. In this paper, new types of Push Notification Service capable of domestic technology acquisition was proposed and designed.

Fabrication of smart alarm service system using a tiny flame detection sensor based on a Raspberry Pi (라즈베리파이 기반 미소 불꽃 감지를 이용한 스마트 경보 서비스 시스템 구현)

  • Lee, Young-Min;Sohn, Kyung-Rak
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.9
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    • pp.953-958
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    • 2015
  • Raspberry Pi is a credit card-sized computer with support for a large number of input and output peripherals. This makes it the perfect platform for interaction with many different devices and for usage in a wide range of applications. When combined with Wi-Fi, it can communicate remotely, therefore increasing its suitability for the construction of wireless sensor nodes. In addition, data processing and decision-making can be based on artificial intelligence, what is performed in developed testbed on the example of monitoring and determining the confidence of fire. In this paper, we demonstrated the usage of Raspberry Pi as a sensor web node for fire-safety monitoring in a building. When the UV-flame sensors detect a flame as thin as that of a candle, the Raspberry Pi sends a push-message to notify the assigned smartphone of the on-site situation through the GCM server. A mobile app was developed to provide a real-time video streaming service in order to determine a false alarm. If an emergency occurs, one can immediately call for help.

Improvement Model of Quality Management System of Construction Site Based on RESTful-API (RESTful-API 기반의 건설현장 품질관리 시스템 개선 모델)

  • Park, Koo-Rack
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.61-66
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    • 2020
  • Modern society is developing rapidly due to the convergence of industry and IT technology. In that case, the role of construction work that provides basic infrastructure can be very large. Recently, as construction work becomes more complicated, larger, and more advanced, the importance of management, such as system improvement for quality improvement, has become even more important. However, when a quality control problem occurs at a construction site, much time is required to solve the problem. In order for a construction project to be successful, various systems need to be organically connected and able to manage optimal decisions. In this paper, provide a quality control model using GCM push alarm service based on RESTful_API. The proposed model is a model that can be used by construction company quality control rooms and project managers for decision making. When applied to construction site project management, it is expected that more efficient and safe construction management will be possible.

Implementation of a Smartphone Application for English words Training Using Google Cloud Messaging Service (구글 클라우드 메세징 서비스를 활용한 영단어 암기용 스마트폰 어플리케이션 개발)

  • Kim, Ki-Hoon;Lim, Dong-Hyeon;Park, Chang-Woo;Jeon, Mi-Young;Jeoung, Gu-Min
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.986-988
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    • 2013
  • 본 논문에서는 GCM(Google Cloud Messaging) 서비스를 활용한 영단어 암기용 스마트폰 어플리케이션을 개발하였다. 서버에 있는 영단어 데이터베이스에서 스마트폰으로 영단어를 주기적으로 출력하여 사용자가 영단어에 자연스럽게 노출될 수 있는 어플리케이션을 개발하였다. 추가적으로 잠금 화면을 영단어와 뜻을 매칭 시켜 해제시키는 시스템을 구축함으로써 영단어를 더욱 더 효과적으로 암기할 수 있는 환경을 제공한다. 현재 안드로이드 마켓에서 제공되고 있는 영단어 암기 어플리케이션과 달리 개발한 어플리케이션은 한 번 설정 후 직접 실행할 필요가 없도록 한다.

Extended of User Interface Platform for Providing Customized Cliamte Service (맞춤형 기후서비스 제공을 위한 사용자인터페이스 플랫폼 확장)

  • Jung, Imgook;Park, Jihoon;Cho, Jaepil;Hwang, Syewoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.224-224
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    • 2019
  • 국제기상기구의 Global Framework for Climate Services (GFCS)의 관점에서 살펴보면 국내의 기상 기후 정보는 기상청을 중심으로 관측 자료와 중장기 예측 및 기후변화 시나리오 정보 등의 다양한 시간규모로 생산되고 있다. 하지만 사용자가 직접적으로 다양한 기후정보를 상세화하여 활용하기 위해서는 기후정보의 구축 및 전처리를 수행해야하는 어려움이 있다. 따라서 APEC Climate Center (APCC)에서 다학제 융합 기반 기후정보 서비스를 중심으로 사용자 인터페이스 플랫폼 (User Interface Platform: UIP)의 기술적 플랫폼으로 APCC Integrated Modeling Solution (AIMS)를 개발하였다. AIMS는 사용자의 관점으로 상세화를 수행할 수 있고, 다양한 응용 분야에 적용하기 쉽게 데이터를 생성하여 연구에 도움을 주고 있다. 본 연구는 AIMS에서 제공하고 있는 기존의 국가별로 제공하는 제 5차 결합 기후모델 비교사업 (The $5^{th}$ phase of the coupled model intercomparision project, CMIP5)에서 해석한 전구기후모델 (General Circulation Model, GCM)의 통계적 상세화 방법인 Simple Quantile Mapping (SQM)과 Spatial Disaggregation Quantile Delta Mapping (SDQDM)를 포함하여 AIMS에 새롭게 추가 된 통계적 상세화 방법인 Bias Correction and Stochastic Analog (BCSA) 방법을 소개하고자 한다. 또한 60개의 종관기상관측 (Automated Surface Observing System, ASOS)자료를 중심으로 생성한 세 가지 통계적 상세화방법의 과거재현성과 RCP4.5, RCP8.5 시나리오를 활용한 미래 불확실성 평가 결과를 이용하여 연구자들의 맞춤형 자료를 생산하고 평가하는데 도움을 줌으로써 다양한 기후자료의 효과적인 활용이 가능할 것으로 기대된다.

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