CONCEPTS OF DATABASE MANAGEMENT
9th Edition
ISBN: 9780357323366
Author: Pratt
Publisher: CENGAGE C
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Chapter 6, Problem 1CATC
To determine
(a)
To design a
List the guide number, guide last name, guide first name, address, city, state, postal code, telephone number and date hired for each guide.
To determine
(b)
To design a database, using DBDL and ER diagram, for the following user view:
For each trip list the trip ID, name of trip, starting location of trip, state in which trip originate, distance of trip, maximum group size of trip, type of trip and season of trip. Along with that list the guide number, first name, last name of each guide for the trip with the following constraints: a guide may lead many trips and a trip may be led by many different guides.
To determine
(c)
To design a database, using DBDL and ER diagram, for the following user view:
For each client provide client number, last name, first name, address, city, state, postal code and telephone number.
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Given function:
~ 2.4 2 + cos( 1 + x³/2)
0.5x dx
I =
√1 + 0.5 sin x
1. Approximate the integral value of the given function using multiple application
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> contours
findContours (binaryImage, contours,
; RETR_EXTERNAL, CHAIN_APPROX_SIMPLE)
Classify material based on size //
} if (contours.size() > 500)
cout << "The material is Plastic"
cout << "The material is Wood" <<
;<< endl
} else {
; endl
{
; return 0
{
Execute the code In MATLAB and send a picture of the
execution from within the program
MATLAB code to analyze infrared spectrum %
data
Assume we have spectral data from %
infrared radiation
spectral_data =
% Load
load('infrared_spectrum.mat');
infrared spectrum data
Analyze the spectrum and extract features %
feature = mean (spectral_data); % Calculate
the average of the spectrum
Classify material based on spectrum %
if feature 1000
; 'material = 'Metal
; 'material = 'Wood
else
end
; disp(['The material is: ', material])
Chapter 6 Solutions
CONCEPTS OF DATABASE MANAGEMENT
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