Labs

Lab 1

• Followed Lesson 1 from GitHub

  • Familiarized myself for the Stevens WiFi setup for Raspberry Pi's

  • Downloaded the NOOBS

Lab 2

• Did not have access to my Rasberry Pi for this lab

• Also did not have the three DuPont female-to-female jump wires

Lab 3

• Used the lesson 3 folder in the IOT GitHub Repo to run lab 3

• Could not run some of the labs because I did not have access to my Rasberry Pi

• Utilized various packages to control different household items through IOT

  • Turning on a light through python command

  • Connect the terminal server to the client Rasberry Pi

Lab 4

• Django and Flask from lesson 4 in IOT GitHub

  • Created a Django server to host weather station data

  • Installed Django, Django REST, MariDB, psutil, and Adafruit libraries

  • Installed Flask-Ask, Ngrok, Apache, and PHP for part C and D

    • Already had PHP installed

  • Successfully able to get the temperature displayed, but had a difficult time getting the display of the map of Stevens Institute of Technology on the right side.

    • This was from the address at 127.0.0.1

    • On March 28th at 2:33, it was recorded to be 61 degrees F

Lab 5

• Crossbar.io and Paho from lesson 5 in IOT GitHub

• Install docker

• Run Crossbar.io in one terminal and publish-client on another terminal and subscribe-client on another terminal

• Next part of lab, publish hello from one terminal to the other one using Paho and Mosquito

• Conveyed information such as Ram, number of processes, up time, number of connections, temperature, IP address, CPU speed...

Lab 6

• Alternative Devices from lesson 6 in IOT GitHub

  • Created a Particle account from here

  • Ran a Node.js server on 127.0.0.1:8080 on the Pi

    • From here, was able to project hello world message here

  • Local Node.js server was accessed through python requests

Lab 7

• Cloud Platforms from lesson 7 in IOT GitHub repo

  • Created a ThingSpeak account

  • Copied API Key

  • Used my existing Google Cloud Platform IAM

  • Downloaded the rpidata json file

  • Encountered some issues while trying to use the API key, I suspect that it was due to an improper configuration. Was unable to successfully generate the required graphs and get all of the CPU and temp data into the Google Sheets document

Lab 8

• Data Analysis from lesson 8 from IOT GitHub repo

  • Installed SciPy, Matplotlib, pandas db, NymPy, scikit-learn, TensorFlow, and Keras

    • Pandas db already installed on pc, pretty familiar with pandas and SciPy

  • Created various visualizations to further analyze data from the Titanic crash

  • Used X11 to forward graphs via SSH from the Pi

Lab 9

• NETCONF and YANG lesson 9 from IOT GitHub repo

• Installed pyang and PlantUML

  • Encountered issues creating the sequence diagram with PlantUML

  • It said that there was an unrecognized command while trying to call the YANG file

    • I suspect that this was due to error throughout the download and installation process

    • Also may have been due to python installation error

  • Did not complete the bonus lab because of issues with lab 9

Lab 10

• Blockchain from lesson 10 in the IOT GitHub repo

• From Medium article here

• Ran node.js server and python app at 127.0.0.1:5000

  • Able to mine blocks similar to the way the Bitcoin or other blockchain technology works

• Unable to successfully complete part two (Lab B) because of issues with the Rasberry Pi

• I downloaded the PyOTA and IRI libraries onto my Pi, but was unable to send the DHT11 data to the IOTA Tangle