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Airida [17]
3 years ago
5

Consider a system with two tasks, Task1 and Task2. Task1 has a period of 200 ms, and Task2 has a period of 300 ms. All tasks ini

tially tick at time 0. 1. How many times will Task1 have ticked after 1000 ms? 2. How many times will Task2 have ticked after 1000 ms? 3. After time 0, when do both Task1 and Task2 next tick at the same time? 4. What is the largest value for timerPeriod that allows both
Engineering
1 answer:
Murrr4er [49]3 years ago
4 0

<u>Explanation:</u>

Task 1 time period = 200ms, Task 2 time period = 300ms

Task ticked = \frac{1000ms}{200ms}= 5  →  5 times

Task 2 ticked =\frac{1000ms}{300ms} = 3.33 → 3 times

At 600 ms → 200ms 200ms 200ms

                     300ms → \frac{30ms}{60ms}

Largest time period = H.C.M of (200ms, 300ms)

                                 = 600ms

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The change in annual cost when Q is increased from 340 to 341 is -1.23 and the instantaneous rate of change when Q = 340 is -1.25

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The annual inventory cost C for a manufacturer is given as;

C = (1012000/Q) + 7.5Q

where Q is the order size when the inventory is replenished.

Now, the change in C can be calculated by evaluating the cost function at Q = 340 and Q = 341

Change in C = [1,012,000/341 + 7.5*341] - [1,012,000/340 + 7.5*340] ≈ -1.23

Instantaneous rate of change in C is first order derivative C':

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C'(340) = -1,012,000/(340²) + 7.5 ≈ -1.25

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1 year ago
Which of these analysis methods describes neural computing? a. historical if-then-else cases are used to recognize patterns O b.
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Historical data is examined for patterns that are then used to make predictions is one of the analysis methods that describe neural computing

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