Showing 21 - 31 results of 31 for search '"InfluxDB"', query time: 0.46s Refine Results
  1. 21

    A full-stack IoT application : from cross-compiling to user interface by Zhou, Song

    Published 2021
    “…Developed primarily in JavaScript and compiled in a Node.js environment, this application works with Mosquitto, Grafana, MySQL and InfluxDB and does not utilise any external or online services, which allows it to be deployed locally. …”
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    Thesis-Master by Coursework
  2. 22

    Mobile IoT cloud-based health monitoring dashboard application for the elderly by Abdul Kadir, Ahmad Dziaul Islam, Mohd. Alias, Mohamad Razin Naim, Mohd. Dzaki, Dzahir Rashidi, Azizan, Azizul, Md. Din, Norashidah

    Published 2022
    “…Data gathered from these sensors are dispatched wirelessly to the Raspberry Pi gateway and are later stored in a cloud database called InfluxDB. A mobile application is built using the Flutter framework for mobile data visualization purposes. …”
    Conference or Workshop Item
  3. 23

    PhilDB: the time series database with built-in change logging by Andrew MacDonald

    Published 2016-03-01
    “…This paper explores existing time series database solutions, discusses the motivation for PhilDB, describes the architecture and philosophy of the PhilDB software, and performs an evaluation between InfluxDB, PhilDB, and SciDB.…”
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    Article
  4. 24

    ХМАРНА АРХІТЕКТУРА ПЕРЕДАЧІ ДАНИХ ДЛЯ ВПРОВАДЖЕННЯ МОДЕЛЕЙ МАШИННОГО НАВЧАННЯ В СПИРТОВУ ПРОМИСЛОВІСТЬ... by Олександр Станіславович Омельченко, Наталія Миколаївна Луцька

    Published 2024-01-01
    “…Для втілення хмарної архітектури використано такі програмні засоби: симулятор промислового контролера Unity Pro, інструмент потокової розробки Node-RED для передачі даних, база даних часових рядів InfluxDB та сервіс машинного навчання Grafana Machine Learning. …”
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    Article
  5. 25

    THE IMPLEMENTATION OF HEART RATE SENSOR AND MOTION SENSORS BASED ON INTERNET OF THINGS FOR ATLETE PERFORMANCE MONITORING by Sritrusta Sukaridhoto, Muhammad Aksa Hidayat, Achmad Basuki, Riyadh Arridha, Andi Roy, Titing Magfirah, Agus Prasetyo, Udin Harun Al Rasyid

    Published 2019-07-01
    “…This system applies the Internet of Things (IoT) concept, using raspberry pi, Arduino microcontroller, T34 polar heart rate sensor to capture and send heartbeat to receivers, gyro-based motion-capture sensors that named wear notch where this sensor serves to capture the movement of athletes, sensors communicate with the system using 4G connectivity, use MQTT as edge computing which acts as a communication medium from sensors to databases, Maria DB and influx DB as accumulation which plays a role in storing heart rate and athlete's movements that have been recorded by sensors, athlete performance monitoring platform with a heart rate sensor and athlete's motion capture is a web-based application that collaborates all processes from the sensor to the system. …”
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    Article
  6. 26

    Spatio-Temporal Semantic Data Model for Precision Agriculture IoT Networks by Mario San Emeterio de la Parte, Sara Lana Serrano, Marta Muriel Elduayen, José-Fernán Martínez-Ortega

    Published 2023-02-01
    “…Time-series Database (TSDB) engine InfluxDB is used to evaluate the model against data management. …”
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    Article
  7. 27

    Massive data mining and analysis platform design for fully mechanized working face by WANG Hongwei, YANG Kun, FU Xiang, LI Jin, JIA Sifeng

    Published 2023-05-01
    “…The data acquisition and storage layer uses the OPC UA gateway to collect real-time monitoring information from underground sensors, and then stores the data in the InfluxDB storage engine through the MQTT protocol and RESTful interface. …”
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    Article
  8. 28

    Data pipeline for real-time energy consumption data management and prediction by Jeonghwan Im, Jaekyu Lee, Somin Lee, Hyuk-Yoon Kwon

    Published 2024-03-01
    “…The overall architecture of our proposed pipeline comprises several key components, including Kafka, InfluxDB, Telegraf, Zookeeper, and Grafana. To enable accurate energy consumption predictions, we adopt two time-series prediction models, long short-term memory (LSTM), and seasonal autoregressive integrated moving average (SARIMA). …”
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    Article
  9. 29

    Underground location service system design by DU Zhigang, CHU Nan, LUO Ke

    Published 2022-03-01
    “…The system introduces the time series database for mixed data storage, and stores time series data such as historical track in InfluxDB to improve system data access performance. …”
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    Article
  10. 30

    <i>Elemental</i>: An Open-Source Wireless Hardware and Software Platform for Building Energy and Indoor Environmental Monitoring and Control by Akram Syed Ali, Christopher Coté, Mohammad Heidarinejad, Brent Stephens

    Published 2019-09-01
    “…It combines: (i) custom printed circuit boards (PCBs) with RFM69 frequency shift keying (FSK) radio frequency (RF) transceivers for wireless sensors, control nodes, and USB gateway, (ii) a Raspberry Pi 3B with custom firmware acting as either a centralized or distributed backhaul, and (iii) a custom dockerized application for the backend called <i>Brood</i> that serves as the director software managing message brokering via Message Queuing Telemetry Transport (MQTT) protocol using VerneMQ, database storage using InfluxDB, and data visualization using Grafana. The platform is built around the idea of a private, secure, and open technology for the built environment. …”
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    Article
  11. 31

    Electrical production data of a domestic grid-connected rooftop PV plant in normal and shading faults conditions associated with solar and meteorological data in a tropical climate by Alexandre Graillet, Carole Lebreton, Chao Tang, Fabrice Kbidi, Tifenn Jegado, Cédric Damour, Michel Benne

    Published 2023-02-01
    “…To be able to provide both efficient ingestion and retrieval of these time series collections, the NoSQL database management system InfluxDB has been implemented. The whole dataset is available on Zenodo repository, and can be used, for instance, for PV modeling, PV plant behavior analysis, PV production forecasting and PV Fault Detection and Diagnosis (FDD) tool development.…”
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    Article