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Data collection in the cloud with advanced data analysis using MATLAB

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Implement IoT research projects quickly with built-in MATLAB data analysis tools and real-time sensor data collection

GATO IPTV IOS

Build IoT services for remote monitoring of air quality sensors, and create MATLAB models to predict pollution levels

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Build IoT applications to monitor energy usage, and develop MATLAB models for power signature identification and load forecasting

TWITTER GATEIO

Build applications for remote monitoring of sensors deployed on farms, and develop MATLAB models to increase crop yields and reduce costs

DOGELON GATE IO

ThingSpeak is an IoT analytics platform service that allows you to aggregate, visualize, and analyze live data streams in the cloud. You can send data to ThingSpeak from your devices, create instant visualization of live data, and send alerts.

Collect

Send sensor data privately to the cloud.

Analyze

Analyze and visualize your data with MATLAB.

Act

Trigger a reaction.

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BELJURIL BALDUR GATE II

Cadmus used MATLAB and ThingSpeak to deploy a system of cloud-connected sensors for the near-real-time measurement and analysis of energy data. The system uses off-the-shelf hardware to monitor and analyze loads of HVAC systems and large appliances.

GATE IO DREP

This project shows how to prototype and deploy an IoT system with data analytics without developing custom web software. Specifically, a tidal forecasting system that uses neural networks to predict the effect of wind on water levels is described.

GATE.IO HUMAN

This project shows how to build a traffic monitor with a Raspberry Pi and a webcam. Simulink is used to design and deploy an algorithm onto the Raspberry Pi that calculates the density of cars on a busy highway. The traffic information is sent to ThingSpeak, and MATLAB is used to analyze and visualize the traffic patterns.

BALDUR'S GATE II TORRENT

This project shows how to build an Arduino-based weather station that sends data to ThingSpeak. Once the data is collected, MATLAB is used to view trends of the data, plot histograms of the data, calculate dew point from the raw temperature and humidity data, and create custom visualizations.