• Title/Summary/Keyword: Firebase

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Implementation and Performance Evaluation of Environmental Data Monitoring System for the Fish Farm (양식장 환경 데이터 모니터링 시스템의 구현 및 성능 평가)

  • Wahyutama, Aria Bisma;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.743-754
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    • 2022
  • This paper contains the results of the development and performance evaluation of the environmental data monitoring system for the fish farm. For the hardware development, the analogue sensor is used to collect dissolved oxygen, pH, salinity, and temperature of the fish farm water, and the digital sensor is used for collecting ambient temperature, humidity, and location information via a GPS module to be sent to cloud-based Firebase DB. A set of LoRa transmitters and receivers is used as a communication module to upload the collected data. The data stored in Firebase is retrieved as a graph on a web and mobile application to monitor the environmental data changes in real-time. A notification will be delivered if the collected data is outside the determined optimal value. To evaluate the performance of the developed system, a response time from hardware modules to web and mobile applications is ranging from 6.2 to 6.85 seconds, which indicates satisfactory results.

Implementation of Yoga Posture Training Application Using Google ML Kit (Google ML Kit를 이용한 요가 자세 훈련 애플리케이션 구현)

  • Kim, Hyoung Min;Yoon, Jong Hyeon;Park, Su Hyun;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.178-180
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    • 2022
  • An application implementation that allows users to train yoga posture based on the landmark of yoga posture of yoga instructors obtained from the Google Firebase ML Kit was introduced. Using the ML Kit, the user's posture is classified and landmarks corresponding to each joint are obtained. The accuracy measurement reference value for the yoga posture is set through the angle formed by the joints of the obtained landmark. The accuracy between the reference landmark for the yoga posture of professional yoga instructors and the landmark for the user's pose through the ML Kit was compared. According to the accuracy reference value, information on malfunction and correct motion is provided to the user through Text-to-Speech (TTS). Users are managed effectively with Firebase, and a system that displays the amount of exercise through a counter and timer when the user performs an exercise that meets the accuracy reference value was explained.

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Vehicle Waiting Time Information Service using Vehicle Object Detection at Fuel Charging Station

  • Rijayanti, Rita;Muhammad, Rifqi Fikri;Hwang, Mintae
    • Journal of information and communication convergence engineering
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    • v.18 no.3
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    • pp.147-154
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    • 2020
  • In this study, we created a system that can determine the number of vehicles entering and departing a charging station in real time for solving waiting time problems during refueling. Accordingly, we use the You Only Look Once object detection algorithm to detect and count the number of vehicles in the charging station and send the data to the Firebase Realtime Database. The result is shown using an Android application that provides a map function with the Kakao Maps API at the user interface side. Our system has an accuracy of 91% and an average response time of 3.1 s. Therefore, this system can be used by drivers to determine the availability of a charging station and to identify the charging station with the least waiting time for charging their vehicle.

Design and Implementation of Platform for Monitoring of Notification System in Firebase Message

  • Oh, Am-Suk
    • Journal of information and communication convergence engineering
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    • v.19 no.1
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    • pp.16-21
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    • 2021
  • In this paper, to prevent accidents of school vehicles used by students, which have emerged as a continuous social problem, a boarding and leaving notification system using Bluetooth beacons is proposed. The platform structure uses Bluetooth, a smartphone, and an application, and provides real-time message reception between parents and teachers. It is not simply a system with Bluetooth capability alone, but also an IcT technology that is closely related to real life using two-way communication. The purpose is to provide user-friendly ICT technology as an integrated system for more practical effects. Two-way exchange of information between parents and teachers using cloud servers is made possible. By using this Bluetooth beacon notification system, safety accidents in student vehicles are reduced, which brings confidence from traffic accidents to schoolchildren of parents and teachers. Therefore, it is expected that parents and teachers are expected to improve their mental stability and quality of life from traffic accidents.

Development of 3D World History Map Webpage Using Three.js (Three JS를 이용한 삼차원 세계역사지도 웹페이지 구현)

  • Hyo Hyun Choi;Kim Sang Gyu
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.281-282
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    • 2023
  • 본 논문에서는 전세계의 역사들을 시간대별로 정리하여 이용자들에게 제공하는 3차원 세계역사지도 웹페이지를 구현한다. 이를 통해, 사용자가 3차원 공간 안에서 지구본을 돌려보며 본인이 알고 있던 역사와 동시대에 일어났던 사건들을 비교해보거나, 몰랐던 사실들을 깨달음으로써 전 세계 역사를 연결 지어 인식하게 하고, 나아가 역사 학습 흥미를 일으키고자 한다. Three JS를 이용하여 웹페이지 내에 삼차원 공간을 렌더링하였고, Raycasting 기법 등의 방법으로 흥미를 유발할 수 있는 상호작용 기능을 구현하였다. 또한 실시간 데이터베이스는 구글의 Firebase 서비스를 이용하여 구현하였다.

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Smart Home Service System Considering Indoor and Outdoor Environment and User Behavior (실내외 환경과 사용자의 행동을 고려한 스마트 홈 서비스 시스템)

  • Kim, Jae-Jung;Kim, Chang-Bok
    • Journal of Advanced Navigation Technology
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    • v.23 no.5
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    • pp.473-480
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    • 2019
  • The smart home is a technology that can monitor and control by connecting everything to a communication network in various fields such as home appliances, energy consumers, and security devices. The Smart home is developing not only automatic control but also learning situation and user's taste and providing the result accordingly. This paper proposes a model that can provide a comfortable indoor environment control service for the user's characteristics by detecting the user's behavior as well as the automatic remote control service. The whole system consists of ESP 8266 with sensor and Wi-Fi, Firebase as a real-time database, and a smartphone application. This model is divided into functions such as learning mode when the home appliance is operated, learning control through learning results, and automatic ventilation using indoor and outdoor sensor values. The study used moving averages for temperature and humidity in the control of home appliances such as air conditioners, humidifiers and air purifiers. This system can provide higher quality service by analyzing and predicting user's characteristics through various machine learning and deep learning.

Development of System for Drunk Driving Prevention using Big Data in IoT environment (IoT 환경에서 빅데이터를 활용한 음주 운전 방지 시스템 개발)

  • Shin, Dong-Jin;Hwang, Seung-Yeon;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.69-74
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    • 2022
  • Even after the drunk driving law was revised through the Yoon Chang-ho Act in 2019, the proportion of habitual offenders among all drunk drivers in 2021 was 4.7%, up 0.5% from 2018. In addition, drunk driving is not easily stopped due to the addiction of alcohol, and there is a high probability of recidivism in accidents as it is often driven again. Therefore, in this paper, to prevent this, when alcohol is measured using its own sensor rather than a manual police measure, the vehicle stops and related data such as the current location and time are automatically saved. Since it is not possible to develop directly on the car, this system was developed by converging various technologies and sensors such as Arduino board, Firebase, and GPS based on the IoT environment in consideration of the simulation environment.

A Design and Implementation of Online Exhibition Application for Disabled Artists

  • Seung Gyeom Kim;Ha Ram Kang;Tae Hun Kim;Jun Hyeok Lee;Won Joo Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.8
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    • pp.77-84
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    • 2024
  • In this paper, we design and implement an online exhibition application based on an Android platform that can showcase the artistic works of disabled artists. This application considers user convenience for disabled artists, particularly providing STT(Speech-to-Text) and TTS(Text-to-Speech) features for visually and hearing impaired individuals. Additionally, for the exhibition of works by disabled artists, the application implements disability certification during registration using disability certificates and registration numbers, ensuring that only authenticated disabled artists can exhibit their works. The database storing personal information of disabled artists and information about art pieces is implemented using MySQL. The server module utilizes RestAPI to transmit data in Json format. To address the large data size of art piece information, it is stored using Firebase Storage, eliminating data size limitations on the server. This application can alleviate issues such as a lack of exhibition space for disabled artists and a lack of communication with the general public.

Credit Card Number Recognition for People with Visual Impairment (시력 취약 계층을 위한 신용 카드 번호 인식 연구)

  • Park, Dahoon;Kwon, Kon-Woo
    • Journal of IKEEE
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    • v.25 no.1
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    • pp.25-31
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    • 2021
  • The conventional credit card number recognition system generally needs a card to be placed in a designated location before its processing, which is not an ideal user experience especially for people with visual impairment. To improve the user experience, this paper proposes a novel algorithm that can automatically detect the location of a credit card number based on the fact that a group of sixteen digits has a fixed aspect ratio. The proposed algorithm first performs morphological operations to obtain multiple candidates of the credit card number with >4:1 aspect ratio, then recognizes the card number by testing each candidate via OCR and BIN matching techniques. Implemented with OpenCV and Firebase ML, the proposed scheme achieves 77.75% accuracy in the credit card number recognition task.

Developement of Customized Restaurant Recommendation Application by Category Using Kotlin (코틀린을 이용한 카테고리별 맞춤형 식당 추천 애플리케이션 개발)

  • Lee, Hyung Mook;Kim, Min Sun;Yun, Sung Jin;Lee, Hyun Sik;Jo, Min Ho;Choi, Nak Jun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.285-288
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    • 2022
  • 최근 코로나 확진자가 감소함에 따라 집합금지 명령이 해제되고 단계적 일상 회복이 진행되고 있다. 이에 맞춰 온라인 수업을 진행하던 학교들이 대면 수업으로 전환됨에 따라 학생들이 학교로 돌아오게 되었다. 하지만 학교에 처음 온 학생들은 학교 주변 상권에 대해 잘 모르는 경향이 있다. 본 논문에서는 이러한 학생들의 고민을 줄여주기 위하여 카테고리별로 맞춤 식당을 추천해주는 서비스 개발하였다. Kotlin을 활용한 안드로이드 애플리케이션 형태로 개발하였으며, 네이버 지도를 활용하여 식당의 위치를 알려주도록 하였다. 또한 Firebase를 활용한 게시판을 통해 소통의 창구를 마련하고 간단한 게임 등을 통해 학우들 간의 친밀도를 높일 수 있는 콘텐츠를 제공하였다.

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