• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.5
• /
• pp.743-754
• /
• 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.

• Journal of Advanced Navigation Technology
• /
• v.23 no.5
• /
• pp.473-480
• /
• 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.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.01a
• /
• pp.281-282
• /
• 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.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.8
• /
• pp.77-84
• /
• 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.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.3
• /
• pp.374-380
• /
• 2022

This paper shows the results of a study that predicts changes in seawater conditions in sea farms using machine learning-based long short term memory (LSTM) algorithms. Hardware was implemented using dissolved oxygen, salinity, nitrogen ion concentration, and water temperature measurement sensors to collect seawater condition information from sea farms, and transferred to a cloud-based Firebase database using LoRa communication. Using the developed hardware, seawater condition information around fish farms in Tongyeong and Geoje was collected, and LSTM algorithms were applied to learning results using these actual datasets to obtain predictive results showing 87% accuracy. Flask and REST APIs were used to provide users with predictive results for each of the four parameters, including dissolved oxygen. These predictive results are expected to help fishermen reduce significant damage caused by fish group death by providing changes in sea conditions in advance.

• Journal of Internet of Things and Convergence
• /
• v.10 no.1
• /
• pp.21-27
• /
• 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.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.01a
• /
• pp.147-148
• /
• 2021

본 논문에서는 자바 스프링 Mybatis와 Firebase, Ajax, Script, DataBase를 활용해 테스트하길 원하는 IT 제품을 등록하는 기업과 이를 응모를 통해 추첨되어 테스트하고 리뷰를 남겨 기업에 도움을 주고 싶어 하는 일반 사용자를 모집하는 웹 사이트이다. 이 사이트는 자바 스프링 Mybatis를 기반으로 웹을 구성 하였고, 웹페이지에서 처리되는 데이터들은 데이터베이스로 저장된다. 기업이 제품을 등록하면 이를 사용자가 응모하고 관리자가 무작위로 추첨을 하면 해당 상품을 사용자가 받아보고 평가하여 리뷰를 남길 수 있고 기업은 해당 리뷰들을 좋은 점, 개선할 점을 나누어 확인하여 자신들의 제품을 개선할 수 있도록 한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.405-408
• /
• 2021

글로벌시대가 시작되면서 많은 사람들이 외국인과 소통하는 일이 많아졌다. 해외에 있는 사람들과 소통하기 위해 많은 사람들이 요금이 부과되지 않는 모바일 메신저를 사용한다. 하지만 많은 모바일 메신저에서는 번역기능을 제공하지 않는다. 본 연구는 다국적 언어 소통을 위한 번역이 가능한 모바일 메신저를 제공한다. 외부 번역 naver papagoAPI 와 firebase의 인증, 실시간 데이터베이스를 이용하는 안드로이드 기반 자동 번역 채팅 앱과 연결하여 자동 번역 채팅 서비스를 구현하였다. 본 논문의 애플리케이션은 기존에 번역기나 챗봇을 사용해야 했던 불편함은 낮추고 외국어 채팅의 자유도를 높여주는 결과가 나타난다. 이를 통해 자연스러운 외국어 채팅이 가능하도록 하여 서로 다른 언어를 사용하는 사람들과 언어에 상관없이 자유로운 의사소통을 가능하도록 한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.551-552
• /
• 2023

구성원 간의 협업과 업무 공유는 원활한 업무 진행을 위해 반드시 필요하며 이메일, 메신저 프로그램으로 데이터들을 상호 주고 받고 업무를 공유 하는 경우도 있다. 그러나 데이터 전송 방법, 조회가 불편하고 또한 업무 이력 관리가 잘되지 않는 경우가 종종 발생하기 때문에 이문제 해결을 위한 대안을 찾게 된다. 따라서, 본 논문에서는 이러한 기능을 가진 그룹형 상호 협력과 정보 공유를 위한 일정 관리 어플에 대해 연구하고자 하며 캘린더 생성, 이벤트 추가 그리고 이벤트 리스트를 설계, 구축구하고자 한다. 아울러, 사용자의 정보와 그룹의 일정 내용들의 구축 및 저장을 위해 Firebase 기반의 데이터베이스도 활용하고자 한다.

• Journal of Industrial Convergence
• /
• v.21 no.1
• /
• pp.67-76
• /
• 2023

COVID-19, which occurred in 2019, has a strong contagious power, has serious symptoms of infection and after-effects, and death in severe cases depending on the underlying disease and symptoms. As COVID-19 is highly contagious, in Korea, screening clinics have been set up across the country to determine whether or not to be positive for COVID-19 and isolate the infected to prevent the spread of COVID-19. However, there are cases where COVID-19 test applicants flock to screening clinics and cannot receive tests due to longer waiting times, and there is a risk that secondary infections may occur in the atmosphere. In this study, the reservation and notification system can be applied from the existing screening care system to solve spatial constraints, reducing waiting time with screening appointments, and solving population bottlenecks to screening clinics. Taking the COVID-19 pandemic as an experience, we propose a system that can present directions in future pandemic situations. To process real-time data, we use Google's Firebase to use Realtime Database in the cloud environment. Because a real-time database is used, users can check the status of screening clinics in real time through the app, make reservations, and receive notifications about test reservations.