The book "Principles of Psychitecture" helps individuals scale the heights of self-mastery and lead great lives.
<h3>What is the book "Principles of Psychitecture" about?</h3>
It is a book that is entails a philosophical manifesto and practical self-development guide on the teachings of legendary thinkers like Marcus Aurelius, Lao Tzu, Friedrich Nietzsche, and Abraham Maslow.
Generally, the books gives an ideas & techniques that allows to integrate into a vital theory for helping individuals scale the heights of self-mastery and lead great lives.
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Since this cylinder has a radius of 2.5 centimeters, its height is approximately equal to 8.3 meters.
<h3>How to calculate the height of this cylinder?</h3>
Mathematically, the volume of a cylinder is calculated by using this formula:
V = πr²h
<u>Where:</u>
<u>Given the following data:</u>
- Radius of cylinder = 2.5 cm.
- Volume of cylinder = 163 cubic centimeters.
Substituting the given parameters into the formula, we have;
163 = 3.142 × 2.5² × h
163 = 19.6375h
h = 163/19.6375
Height, h = 8.3 meters.
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People do transform images. The option that describes a lossy transformation of a digital image is:
- Replace the green component of each pixel with the average value of the red and blue components of the pixel
<h3>What is transformation in image processing?</h3>
An image transform is known to be a kind of image that is converted from one domain to another kind of domain.
Digital images are known to be depicted by the red, green, and blue values (an RGB triplet) of a stated specific pixel in an image.
A lossy work is done when Creating the negative of an image by producing a new RBG triplet for each pixel in which each value is calculated by subtracting the original value from 255.
See options below
- Swap the values of the blue and green components for each pixel.
- Replace the green component of each pixel with the average value of the red and blue components of the pixel.
- Replace the values for each pixel with the values from the pixel which is 10 pixels to the right. If the pixel is less than 10 pixels from the right of the image continue counting from the left of the image when the edge is reached
- Replace each component of each pixel with the original value of that component subtracted from 255.
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