• Title/Summary/Keyword: FCM(Firebase Cloud Messaging)

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Implementation of Sensors Information Alarm Service using an FCM based on Raspberry Pi (FCM을 이용한 라즈베리파이 기반의 센서정보 알림 구현)

  • Oh, Sejin
    • Journal of Industrial Convergence
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    • v.20 no.8
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    • pp.61-67
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    • 2022
  • The Internet of Things(IoT) is one of the key technologies in the Fourth Industrial Revolution. The IoT is a system that acquires information from various sensors and provides meaningful information to users. The method of obtaining information from sensor is using WIFI, Bluetooth and Server. is not accessible to external users because of different type of networks or local area communication. For this reason, there is a problem that external user cannot receive notification in regard to sensor information. In this paper, we want to establish a cloud message environment using Google's FCM(Firebase Cloud Messaging) and find out through experiments how users can receive notifications even if they are outside.

Development of FCM service in connection with travel Items for free individual travelers (자유개별여행자를 위한 여행상품과 연계된 FCM서비스 개발)

  • Park, JiHoon;Jeong, Hogyoun;Ru, HongRyeon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.69-72
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    • 2018
  • 최근 증가하고 있는 자유개별여행자들의 경우 항공권, 숙박 등의 여행상품을 개별로 구매하고 여행지에서 지역 여행정보를 통해 여행상품을 구매한다. 일반적인 여행 앱에서는 여행자에게 일괄적으로 관광 상품 메시지를 전송한다. 하지만 해당 여행지에 대한 정보 메시지를 여행 시간대별로 받는다면 여행자는 그 정보를 토대로 좀 더 다양한 여행을 즐길 수 있으며, 해당 지역의 여행 상품을 판매하는 판매자의 경우 효과적인 홍보 마케팅이 이루어질 것으로 사료된다. 따라서 본 연구에서는 해당 여행지를 여행하고 있는 여행자에게 스케줄링된 여행정보를 주기적으로 전송할 수 있는 FCM기반의 푸시서비스 개발을 목적으로 하였다.

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Information-providing Application Based on Web Crawling (웹 크롤링을 통한 개인 맞춤형 정보제공 애플리케이션)

  • Ju-Hyeon Kim;Jeong-Eun Choi;U-Gyeong Shin;Min-Jun Piao;Tae-Kook Kim
    • Journal of Internet of Things and Convergence
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    • v.10 no.1
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    • pp.21-27
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    • 2024
  • This paper presents the implementation of a personalized real-time information-providing application utilizing filtering and web crawling technologies. The implemented application performs web crawling based on the user-set keywords within web pages, using the Jsoup library as a basis for the selected keywords. The crawled data is then stored in a MySQL database. The stored data is presented to the user through an application implemented using Flutter. Additionally, mobile push notifications are provided using Firebase Cloud Messaging (FCM). Through these methods, users can efficiently obtain the desired information quickly. Furthermore, there is an expectation that this approach can be applied to the Internet of Things (IoT) where big data is generated, allowing users to receive only the information they need.