BUSINESS DATA COMMUNICATIONS AND NETWORK
BUSINESS DATA COMMUNICATIONS AND NETWORK
13th Edition
ISBN: 9781119441113
Author: FITZGERALD
Publisher: amazon.com
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Chapter 4, Problem 12Q

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Three ways of reducing errors and noise they affect:

  • Shielding the wires with an insulated coating will reduce impulse noise, intermodulation noise and cross-talk.
    • Some types of noise such as white noise, harmonic, jitter, echoes are caused by improper connections and poor maintenance of the equipment.
  • Placing cables away from the power sources or other communication cable can also reduce impulse noise, intermodulation noise and cross-talk...

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EXPLORER OPEN EDITORS Welcome com.py... Welcome xcom.py 2 ✓ DB com.py com.sql 6 8 9 10 11 12 13 14 15 16 17 com.py db class Rectangle: def _init_(self, length, width): self.length-length self.width-width def area(self): return self.width *self.length def perimeter(self): return 2+self.width*self.length y=Rectangle(5,1) print(y.area) Why does an error appear in the code print(y.perimeter) PROBLEMS OUTPUT TERMINAL DEBUG CONSOLE PORTS I > OUTLINE > TIMELINE 0A4 0 self.width *self.length AAAA NameError: name 'self' is not defined PS C:\Users\hp\Desktop\db> & C:/Users/hp/AppData/Local/Microsoft/WindowsApps/python3.12.exe c:/Users/hp/Desktop/db/com.py Traceback (most recent call last): File "c:\Users\hp\Desktop\db\com.py", line 1, in class Rectangle: File "c:\Users\hp\Desktop\db\com.py", line 7, in Rectangle self.width *self.length ^^^^^ NameError: name 'self' is not defined PS C:\Users\hp\Desktop\db> Ln 17, Col 1 Spaces: 4 UTF-8 CRLF (Python 3 A ENG
Refer to page 30 for problems on image edge detection. Instructions: Implement an edge detection algorithm (e.g., Sobel or Canny) for the given image. • Explain the preprocessing steps (grayscale conversion, noise reduction) and calculate gradient intensities. • Visualize and compare the results with manual edge annotations. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZ F/view?usp=sharing]
Refer to page 100 for problems on 2D and 3D transformations. Instructions: Compute the result of applying a sequence of transformations (e.g., translation, rotation, scaling) to a given shape. Use homogeneous coordinates for matrix representation. • Show all intermediate matrices and verify the final position of the shape. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]
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