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Aggregate, Visualize, And Analyze for Better and Faster in IoT and ThingSpeak with MATLAB

The Internet of Things (IoT) in education includes data storage, processing, and data visualization. ThingSpeak™ has a simple interface that makes it easy to learn cloud analytics and teach IoT. Then use ThingSpeak communities to provide support for your cloud education curriculum. ThingSpeak also supports and integrates with Arduino®, RPI, and other hardware.

This webinar series is designed to bring together the Internet of Things (IoT) and ThingSpeak analytics platform service that allows you to aggregate, visualize, and analyze live data streams in the cloud. A MATLAB® app is built into ThingSpeak to enable an analysis of the sensor data. With the MATLAB app inside ThingSpeak.

Highlights

  • Acquire data from the field using sensors
  • Analyze the raw data in the cloud to gain further insight
  • React to what the data is telling you

 

 

AGENDA & DATE

Live Webinar for Chulalongkorn University - ThingSpeak for IoT Applications using MATLAB and Simulink

16 July 21 | 09:30-12:00 (GMT+7) | Via Zoom | THAI Language

Agenda

09.30 – 09.45 AM Overview of the internet of Things (IoT)
09.30 – 10.00 AM How to be using ThingSpeak and MATLAB for IoT
10.00 – 10.30 AM
 Create a ThingSpeak Channel
10.30 – 10.40 AM
 Break
10.40 – 11.00 AM
 Send data to your Channel.
11.00 – 11.40 AM React
11.40 - 11.50 AM Summary
11.50 - 12.00 PM Q&A

 

Register Now!

Presenters

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Supamith Sutharojana

Application Engineer Team

Lead at Ascendas Systems

 

He specializes in the areas of Model-Based Design and Auto Code Generation with MATLAB/Simulink. He holds a bachelor’s degree from Chulalongkorn University major in Automotive Engineering. Before joining Ascendas Systems, he was an Engine Software Designer at Toyota Daihatsu Engineering & Manufacturing working in Engine Calibration and Engine software development field.

Kantika-AE-TH

 

Kantika Wongkasem

Application Engineer

Ascendas Systems

 

She specializes in the areas of Image processing and Convolution neural network are a subset of machine learning, and they are at the heart of deep learning algorithms. Kantika received her a bachelor’s degree from King Mongkut’s Institute of Technology Ladkrabang with senior project Sign Language Detection use webcam camera to study image processing and learning algorithms with MATLAB. and now studying Master degree in Engineering Technology at Thai-Nichi Institute of Technology with research image processing analysis application in the animal industry

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