Explanation:
Overlay analysis is an approach, taking in data from two or more layers to create a single output layer.
For example, if we have a layer of land use and a layer of soil fertility, we can derive from the two layers the percentage of agricultural land developed over fertile soil.
Answer:
Written in Python
name = input("Name: ")
wageHours = int(input("Hours: "))
regPay = float(input("Wages: "))
if wageHours >= 60:
->total = (wageHours - 60) * 2 * regPay + 20 * 1.5 * regPay + regPay * 40
else:
->total = wageHours * regPay
print(name)
print(wageHours)
print(regPay)
print(total)
Explanation:
The program is self-explanatory.
However,
On line 4, the program checks if wageHours is greater than 60.
If yes, the corresponding wage is calculated.
On line 6, if workHours is not up to 60, the total wages is calculated by multiplying workHours by regPay, since there's no provision for how to calculate total wages for hours less than 60
The required details is printed afterwards
Note that -> represents indentation
Answer:
Explanation:
Go and ask a teacher or search
Answer:
Check the explanation
Explanation:
CPI means Clock cycle per Instruction
given Clock rate 600 MHz then clock time is Cー 1.67nSec clockrate 600M
Execution time is given by following Formula.
Execution Time(CPU time) = CPI*Instruction Count * clock time = 
a)
for system A CPU time is 1.3 * 100, 000 600 106
= 216.67 micro sec.
b)
for system B CPU time is 
= 333.33 micro sec
c) Since the system B is slower than system A, So the system A executes the given program in less time
Hence take CPU execution time of system B as CPU time of System A.
therefore
216.67 micro = =
Instructions = 216.67*750/2.5
= 65001
hence 65001 instruction are needed for executing program By system B. to complete the program as fast as system A