This document discusses using Matlab for machine learning and internet of things applications. It covers topics like what is IoT, industrial IoT, challenges with IoT, machine learning using IoT data, and thingspeak for collecting sensor data in the cloud. Specific examples demonstrated include monitoring weather with Arduino and thingspeak, traffic monitoring with Raspberry Pi, implementing a simple probabilistic neural network in thingspeak for predictive modeling, and configuring email alerts using Matlab code.

1. Matlab
Master Class
DAY 28
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2. DAY 28
Machine Learning & IoT
using Matlab
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3. What is Internet of Things

4. Trends Driving IoT

5. What is Industrial Iot

6. IoT vs IIOT

7. Challenges in IIOT

8. What is Machine Learning

9. Why Machine Learning using IoT ?

10. Markets Driven by IoT

11. Market Situation

12. Challenges of IoT

13. What Matlab can do on IoT

14. What is Thingspeak

15. Who is Thingspeak for

16. Thingspeak-Collecting data using
Channels

17. Monitoring Weather using Arduino
& thingspeak

18. Monitoring Traffic using RPI & Webcam

19. Machine learning IoT

20. Cloud and Embedded Analytics

21. Lessons
● Analog Potmeter reporting to ThingsSpeak
● Generate an Alert
● Machine Learning Implementation in Thing speak

22. Create an Account
https://thingspeak.com/

23. Home Page

25. Create fields

26. channel Created

27. Create a template

28. Read and Write API Keys

29. API Key Settings

30. Matlab code to write to thingspeak
clc;clear;
MQ2=input('Enter the Value for MQ2:');
Temp=input('Enter the Value for TEMP:');
Ultra=input('Enter the Value for ULTRASONIC:');
thingSpeakWrite(1161425,'Fields',[1,2,3],'Values',{MQ2,Temp,Ultra},'WriteKey','4GPW0Q6KLJ
5M0UQB');
disp('exit');

31. Matlab code to Read to thingspeak
clc;
clear;
channelID=1161425;
readAPIKey = 'JW5HGV6UDD9DF0UX';
MQ2 = thingSpeakRead(channelID,'Fields',1,'ReadKey',readAPIKey);
temp = thingSpeakRead(channelID,'Fields',2,'ReadKey',readAPIKey);
ultrasonic = thingSpeakRead(channelID,'Fields',3,'ReadKey',readAPIKey);
disp(MQ2);
disp(temp);
disp(ultrasonic);

32. Configure a simple Probablistic Neural
Network
clc;
clear;
temp=32
P = 1:50;
load Tc;
T = ind2vec(Tc);
spread = 1;
nettemp = newpnn(P,T,spread);
a = sim(nettemp,temp);
ac = vec2ind(a);
disp(ac);
if ac>= 2
disp('Mail Sent');
end

33. Email Settings
setpref('Internet','SMTP_ Server','smtp.gmail.com');
setpref('Internet','E_ mail','thingspeak0001@gmail.com'); %sender mail id
setpref('Internet','SMTP_ Username','thingspeak0001@gmail.com'); %sender mail id
setpref('Internet','SMTP_ Password','Testing’); %sender password
% The following is necessary only if you are using GMail
props = java.lang.System.getProperties;
props.setProperty('mail.smtp.auth','true');
props.setProperty('mail.smtp.starttls.enable','true');
EmailID='jeevarajan.mk@pantechmail.com';

35. Predictive Modeling using Simple PNN

36. Step 1-Creat a Simple PNN
P = 1:50;
load Tc;
T = ind2vec(Tc);
spread = 1;
nettemp = newpnn(P,T,spread);

37. Step 2- Configure Email Settings
setpref('Internet','SMTP_ Server','smtp.gmail.com');
setpref('Internet','E_ mail','thingspeak0001@gmail.com'); %sender mail id
setpref('Internet','SMTP_ Username','thingspeak0001@gmail.com'); %sender mail id
setpref('Internet','SMTP_ Password','Testing123!'); %sender password
% The following is necessary only if you are using GMail
props = java.lang.System.getProperties;
props.setProperty('mail.smtp.auth','true');
props.setProperty('mail.smtp.starttls.enable','true');
EmailID='jeevarajan.mk@pantechmail.com';

38. Step 3 –Configure Read API Key
channelID=1161425;
readAPIKey = 'JW5HGV6UDD9DF0UX';
MQ2 = thingSpeakRead(channelID,'Fields',1,'ReadKey',readAPIKey);
temp = thingSpeakRead(channelID,'Fields',2,'ReadKey',readAPIKey);
ultrasonic = thingSpeakRead(channelID,'Fields',3,'ReadKey',readAPIKey);
disp(temp);

39. Step 4 –Simulate the Neural Network
a = sim(nettemp,temp);
ac = vec2ind(a);
disp(ac);
if ac>= 2
attachedFullFileName='temp.docx';
sendmail(EmailID,'TEMPERATURE ALERT','Your Engine is Overheating:Please check the
attachment' ,attachedFullFileName);
pause(5);
disp('Mail Sent');
else
disp('Mail not Sent');
end

40. Thank You
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