PRINT COMPANION - BUS DRIVEN INFO SYS
PRINT COMPANION - BUS DRIVEN INFO SYS
6th Edition
ISBN: 9781264115273
Author: BALTZAN
Publisher: MCG
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Chapter 5, Problem PIIAYKBP
To determine

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list of questions that are required to ask while developing an MIS infrastructure for an organization.

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Implement the code in MATLAB and send a picture of the implementation from within the program MATLAB code to analyze material shape % image = grayImage == using computer vision imread('material_image.jpg'); % Read the image rgb2gray(image); % Convert the image to grayscale BW = imbinarize(grayImage); % Convert the image to binary (black and white) Extract geometric properties (e.g., area % and bounding box) stats = regionprops (BW, 'Area', ; 'BoundingBox') Classify material based on shape % if stats. Area > 500 ; 'material = 'Plastic ; 'material = 'Wood else end ; disp(['The material is: ', material])
Problem 4 5' Consider the systems S₁(x[n]) = x[n]+5[n²−1] and S2(x[n]) = x[n(n−2)]. a [2 pts] Plot the impulse responses of S₁ and S2, respectively. b [2.5 pts] Determine whether S₁ and S2 are causal. Justify your answer in details. Warning: There will be no credit for just 'yes' or 'no' answer.
Implement the code In MATLAB and send a picture of the Implementation from within the program Simulate data from magnetic sensor % magnetic FieldStrength = 0.5; % Magnetic field strength in Tesla Classify materials based on magnetic % field strength if magnetic FieldStrength > 0.3 material = 'Metal'; % Detect metal (e.g., iron) else material = 'Non-metal'; % Non-metal materials end ; disp(['Detected material: ', material])
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