M.Sc.(Computer Science) (Semester III) (CGPA)
Examination, 2017
Modern antenna designg
Day Date: Tuesday, 25-04-2017 Max. Marks: 70
Time: 02.30 PM to 05.00 PM
Instructions
Q.1 and Q.2 are compulsory
Attempt any Three Questions from Q.3 to Q.7
Figures to the right indicate full marks.
Use of simple or scientific calculator is allowed.
Q.1 Select the correct alternative 10
In queue model completely specified in the symbolic form
the third symbol specifies…..
The number of customers arrive
The number of servers
The distribution of arrivals
The distribution of departure
Repetition of n independent Bernoulli trial reduces to ….
Poisson distribution
Binomial distribution
Hypergeometric distribution
Geometric distribution
If small order are placed frequently (rather than placing large
orders infrequently), then total inventory cost is……
Reduced Increased E
Either reduced or increased Minimized
When there are more than one servers, customers behavior
in which he moved from one queue to another is….
Balking Jockeying E
Reneging Alternating
The abbreviation CPM stands for….
Critical Path Method
Crash Project Management
Critical Project Management
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Critical Path Management
Multiple servers may be…..
In parallel In series E
In combination of parallel and series All of the above
For …… distribution, mean and variance are the same.
Binomial distribution
Bernoulli distribution
Poisson distribution
None of these
State j is accessible to state if there exists a finite positive
integer n such that…
P ij P ij E
P ij None of these
Simulations of systems in which the state changes smoothly
or continuously with time are called……
Continuous systems Discrete systems E
Both and None of these
10) As simulation is not an analytical model, therefore result of
simulation must be viewed as…..
Unrealistic Exact E
Approximation Simplified
State True of False 04
Arrival or departure of a customer in a queue is an event.
Deterministically generated numbers which appear to be
random are called pseudorandom numbers.
Time gap between placing an order and its actual arrival in
the inventory is known as lead time.
Bernoulli distribution is a particular case of Poisson
distribution.
Q.2 Answer the following 08
Define continuous uniform distribution. State its cumulative
distribution function.
What are advantages and disadvantages of simulation?
Answer the following: 06
Write a note on queue configuration.
Define geometric distribution and fine if X follows
geometric distribution with parameter p=0.2
Q.3 Answer the following 7+7
Explain the generation of a random sample from exponential
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distribution.
The demand rate for a particular item is 12000units/year. The
ordering cost of Rs.1000 per order and the holding cost is Rs.0.80
per month. If no shortage are allowed and the replacement is
instantaneous, determinei)
Economic Order Quantity
ii) Number of order per year
Q.4 Answer the following 7+7
Explain the pure birth process.
A project schedule has the following activities and the time (in
weeks) of completion of each activity is as follows
Activity 1-2 2-3 2-5 3-4 3-5 4-5
Time 10 5 8 11 7 4
Draw the network diagram and find the minimum time of
completion of the project, slack times for each activity and
critical path.
Q.5 Answer the following 7+7
Differentiate between PERT and CPM.
Give the steps of Monte-Carlo simulation technique.
Q.6 Answer the following 7+7
Describe any two tests to check randomness of the numbers.
Describe briefly the EOQ concept.
Q.7 Answer the following 7+7
Generate a random sample of size 5 from binomial distribution
with parameters p=0.4 using the sequences of random
numbers 0.2355, 0.3654, 0.9585, 0.6855, 0.4658.
Explain briefly the important characteristics of queuing system.