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2D space with three groups of samples.
In a two-dimension space we have three groups of samples shown in the following image. I will create a ML model that can predict to which group will belong to, a set of coordinates. In other words, can the model predict that (-2,3) coordinate will corresp...
Mechanical keyboards
Half moon distribution - 2D space with two variables
If we have a preferential distribution it is somehow more difficult to predict the classifications using conventional statistical approach. Here is the plot with two input values and two preferential distributed zones : We import the python modules: from ...
ML - Regression problem
A simple regression example - 2D space y = ax + b. This is a simple 2D regression as it help visualize the problem and the solution. This will be suitable for multiple inputs and outputs which is difficult to visualize in our limited 3D space. The equation w...
Temperature variation during the flight.
The plot bellow shows the temperature variation: The plot was generated using the following code: # Load the Pandas libraries with alias 'pd' import pandas as pd from datetime import datetime import matplotlib.pyplot as plt data = pd.read_csv("data...
Pressure variation during the flight.
The plot bellow shows the pressure inside the cabin during the flight: Here is the code: #Plot pressure plt.figure(figsize=(10,5)) plt.plot(df.index, df['pres'], label='Pressure') plt.xlabel('Time of flight') plt.ylabel('Pressure, mbar') ax = plt.gc...
Humidity variation during the flight
Here is the plot: It was generate with the following code: #Plot Humidity plt.figure(figsize=(10,5)) plt.plot(df.index, df['hum'], label='Humidity') plt.xlabel('Time of fight') plt.ylabel('Humidity, %') ax = plt.gca() # Get the current Axes instanc...
Magnetic field variation
Here is the plot: Same trend to plot it: #Plot magnometer X, Y,Z plt.figure(figsize=(10,5)) plt.plot(df.index, df['mag_x'], label='Mag X') plt.plot(df.index, df['mag_y'], label='Mag Y') plt.plot(df.index, df['mag_z'], label='Mag Z') plt.xlabel('Time o...
Acceleration X, Y, Z
Acceleration variation is all over the place during take of and landing: Similarly: #Plot Acceleration X, Y,Z plt.figure(figsize=(10,5)) plt.plot(df.index, df['acc_x'], label='Acc X') plt.plot(df.index, df['acc_y'], label='Acc Y') plt.plot(df.index, df...
Orientation: pitch, roll and yaw
This is also interesting: Yaw - left / right pedal corrections quite a lot at the beginning of the flight. Roll - up / down - quite smooth Pitch - left / right yoke - quite drastic. Here is the code: #Plot Orientation X, Y,Z plt.figure(figsize=(10,5))...
The code loaded into the Raspberry Pi
Here is the code. I used joystick movement to start recoding once I was inside the airplane with Raspberry Pi seating in the overhead locker. from sense_hat import SenseHat, ACTION_PRESSED, ACTION_HELD, ACTION_RELEASED from datetime import datetime import c...
Some old images of AlSc alloy (aluminium-scandium)
Micro milling to make atom probe samples. Using focus ion beam to micro mill a TEM sample Microstructure of AlSc SEM image Microstructure of AlSc - SEM image More AlSc SEM image.
Butterfly wings under SEM
Mozzie - closed up SEM
Titanium sponge
SEM images of lattice structure 3D printed.
SEM - scanning electron microscopy
Surface finish of additive manufacture (3D printed) parts with metal powders
Wrist watches
First wrist watch I ever made: orange - ichiban Second watch: red - secundus Third watch: green - verde Forth watch: blue - oceanus Fifth watch: brown - brunos