Executable Class • create an array of Employee objects. You can copy the array you made for Chapter 20. • create an ArrayList of Employee objects from that array. • use an enhanced for loop to print all employees as shown in the sample output. • create a TreeMap that uses Strings for keys and Employees as values. • this TreeMap should map Employee ID numbers to their associated Employees. • process the ArrayList to add elements to this map. print all employees in ID # order as shown, but do so using the TreeMap's forEach method and a lambda expression Sample Output All Employees ID 12345: Baker, Tom, salary 200,000ドル ID 56789: Jones, Dan, salary 130,000ドル ID 24680:Scott, Ann, salary 90,000ドル ID 13579:Jones, Pat, salary 80,000ドル ID 11111: Scott, Bob, salary 65,000ドル ID 23232: Baker, Amy, salary 100,000ドル ID 45454: Perez, Ava, salary 105,000ドル ID 67765: Jones, Don, salary 140,000ドル Employees By ID # ID 11111:Scott, Bob, salary 65,000ドル ID 12345: Baker, Tom, salary 200,000ドル ID 13579: Jones, Pat, salary 80,000ドル ID 23232: Baker, Amy, salary 100,000ドル ID 24680: Scott, Ann, salary 90,000ドル ID 45454: Perez, Ava, salary 105,000ドル ID 56789:Jones, Dan, salary 130,000ドル ID 67765:Jones, Don, salary 140,000ドル ●くろまる

The progam below was created by your experts and suppose create a pattern using nested loops. Your initial needs to appear at least eight times in the pattern and pattern doesn't matter. and it was good created but i received comment saying: - this is not using nested loops. Can someone please fix it the code below by using NESTED LOOPS? import turtle # Setting background color screen = turtle.Screen()screen.bgcolor("skyblue") #drawing letter 'M' in different colors turtle.penup()turtle.pensize(9) turtle.goto(-300,50)turtle.right(90)turtle.forward(300) for i in range (1,4):turtle.color("dark blue")turtle.pendown()turtle.backward(60)turtle.left(45)turtle.forward(40)turtle.left(90)turtle.forward(40)turtle.right(135)turtle.forward(60)turtle.backward(60) for i in range (1,4):turtle.color("red")turtle.pendown()turtle.backward(60)turtle.left(45)turtle.forward(40)turtle.left(90)turtle.forward(40)turtle.right(135)turtle.forward(60)turtle.backward(60) for i in range...

Create empty images for Ix, Iy, Ixx, Iyy, and Ixy (all the same dimensions as your original image) Loop through pixels of image and fill in values for Ix, Iy, Ixx, Iyy, and Ixy (ignore the edges when you set up the range of your loops) Create empty image to hold "cornerness" values Loop through pixels of image Access the a neighborhood surrounding each pixel (start with a 3x3, you can expand it later if you'd like) Sum up all the Ixx, Iyy, and Ixy values in this neighborhood Compute the determinant of the M matrix Compute the trace of the M matrix Compute the "cornerness" value for the center pixel - store in the "cornerness" image find max cornerness value in imageset threshold = 0.01(max C value) loop through pixels. if(C at pixel) > threshold: cv2.circle(image(X,Y),size(b,g,r) - 1) Do may not make use of any existing functions/code that extract features. Use opencv and python. Also don't use sobel.

I need to print the map size also. Any idea how to do that?

Research the binary box (magic box) method. Create your own graphical representation of the binary box (preferably hand drawn). It's simple and you can reference back to it (along with your OSI model) throughout the course or on cert exams. Physically drawing/color-coding helps with memorization.

x = zeros(uint8(5,5)); for i = 1:5 for j = 1:5 a = 5/i; x(i,j) = 255/a; end end Which of the following best describes the black and white image x? 1. The columns of x will get lighter from left to right 2. The rows of x will get lighter from top to bottom 3. The rows of x will get darker from top to bottom 4. The columns of x will get darker from left to right

no code is needed question: Find the second-order derivative of the third horizontal line from the following image [ Hint : Use Padding] 6 6 6 5 4 3 1 1 5 4 3 2 1 1 1 1 6 6 5 4 3 1 1 1 1 1 1 1 1 1 6 6 6 6 6 6 6 6 6 5 4 3 2 1 1 1 1 1 1 6 6 6 6 6 5 4 3 2 1 6 6 6 6 6

Write an algorithm that outline how to calculate the room area for the image below

Use this code to run this example attached in the image:

Please do not give solution in image format thanku

Please written by computer source Create a histogram of the image. Note the dimensions are 300*300. Also equalize the histogram. DO IT ON PAPER NOT COMPUTER. SHOW ALL WORK

Save it in one of your MATLAB path folders 3. Create "clown1.m" that changes all red and reddish area into blue 4. Create "clown2.m" that changes the red nose only to blue

Please use Matlab for the question