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AnnyKZ [126]
3 years ago
5

A company has decided to re-introduce a retro-radio by reproducing a product that was manufactured in the 1940s. The company has

possession of several of the radios that were produced in the 40s, but any technical documentation of the product has been lost. Which of the following processes would be most helpful in the creation of technical drawings from which the company could reproduce the radio? A) Decision matrix B) Brainstorming C) Prototyping D) Reverse engineering
Computers and Technology
1 answer:
polet [3.4K]3 years ago
6 0
D and B and A and C all of the above !!!!!!!!!!!!!!!  

hope this helps!
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Write a program that reads a 4-bit binary number from the keyboard as a string and then converts it into decimal. For example, i
adell [148]

Answer:

import java.util.Scanner;

public class ss11{

       public static void main (String[]args) {

             Scanner keyboard = new Scanner (System.in)

             String a1, a2, a3, a4, a5;

              int i1, i2, i3, i4, i5;

              System.out.println("Enter a four bit binary number:");

               a1= keyboard.next();

               a2= a1.substring(0,1);

               a3= a1.substring(1,2);

               a4= a1.substring(2,3);

               a5= a1.substring(3,4);

                i1 = Integer.parseInt(a2);

                i2 = Integer.parseInt(a3);

                i3 = Integer.parseInt(a4);

                i4 = Integer.parseInt(a5);

                i1= i1 * 8;

                i2= i1 * 4;

                i3= i1 * 2;

                i4= i1 * 1;

                i5= i1+i2+i3+i4;

                System.out.println("The converted decimal number is: +i5);

}

}

Explanation:

7 0
4 years ago
Describe your dreams include lifestyle,job,house,friends
n200080 [17]
So, this is an answer of your choice. What it is trying to ask is tell us what your dream home, job, husband, and so on. For example: My dream home is a mansion in Mississippi by the beach. My dream job is a doctor. Those are prime examples of a dream home and job. Now your answer shouldn't be the same as mine. Your's should be something different. Unless, you want a mansion in Mississippi by the beach and you would like to be a doctor. In other words it is asking you to tell us what you want you home, lifestyle, job, friends, and possibly your DREAM pet. Hope this helps.

3 0
3 years ago
Read 2 more answers
4. 15 Exact change (College level not sure why it says middle school)
sweet [91]

Answer:

def print_change(total_change):#this is also total cents, because integers don't have decimal points, so I can't use dollars as my unit

dollars = int(total_change / 100)

remaining_change = total_change - dollars * 100

quarters = int(remaining_change / 25)

remaining_change -= quarters * 25

dimes = int(remaining_change / 10)

remaining_change -= dimes * 10

nickels = int(remaining_change / 5)

remaining_change -= nickels * 5

pennies = remaining_change

all = {'dollar': dollars, 'quarter': quarters, 'dime': dimes, 'nickel': nickels, 'penny': pennies}

for num in [0, 1, 2, 3, 4]:

coin_type = list(all.keys())[num]

amount = all[coin_type]

if num < 4 and amount > 1 or amount == 0 and num < 4:

coin_type += 's'

elif num == 4 and amount > 1 or amount == 0 and num == 4:

coin_type = 'pennies'

print('\n', amount, coin_type)

while True:

total_change = int(input()) #in cents

print_change(total_change)

Had fun making this one... hope it helps. :)

6 0
4 years ago
Create a list of consent rules to live by​
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Intercourse
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4 0
3 years ago
You trained a binary classifier model which gives very high accuracy on thetraining data, but much lower accuracy on validation
kompoz [17]

Answer:

a. This is an instance of overfitting.

Explanation:

In data modeling and machine learning practice, data modeling begins with model training whereby the training data is used to train and fit a prediction model. When a trained model performs well on training data and has low accuracy on the test data, then we say say the model is overfitting. This means that the model is memorizing rather Than learning and hence, model fits the data too well, hence, making the model unable to perform well on the test or validation set. A model which underfits will fail to perform well on both the training and validation set.

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3 years ago
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