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1997 Course Computer Based Simulation & Modeling

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Total No. of Questions : 10] [Total No. of Pages : 3 P1110 [3664]-42 B.E. (Electronics) COMPUTER BASED SIMULATION & MODELING (1997 Course) Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates:1) Answer any 3 questions from each section. 2) Answer three questions from Section - I and three questions from Section - II. 3) Answers to the two sections should be written in separate books. 4) Neat diagrams must be drawn wherever necessary. 5) Figures to the right indicate full marks. 6) Use of logarithmic tables, slide rule, Mollier charts, electronic pocket calculator and steam tables is allowed. 7) Assume suitable data, if necessary. SECTION - I Q1) a) b) Explain the system classification with methodology to study it. [8] Explain the principles used for the classification of models of systems.[8] Q2) a) Explain the flow-chart for simulation of system. Also give the significance of the simulation. [10] Explain the limitations of simulators. [8] b) Q3) a) b) Explain : i) Compiled simulators. ii) Distributed simulators. iii) Mixed simulators. Draw the flow chart for the 1 - server system given below. Samples 1 2 3 4 5 6 7 Arrival time 0 15 20 40 35 15 10 [6] Service time 25 20 15 10 15 20 15 and determine the queue status, wait time, service time. [10] P.T.O. Q4) a) b) Explain the terms mathematically : i) Mean ii) Probability density function. iii) Probability distribution function. iv) Median of digital and analog system. Explain the distribution : i) Normal distribution. ii) Poisson s distribution. [8] [8] Q5) Write short notes on : [16] a) Simulation of R.L.C. (series) analogies to Auto-pilot system simulation. b) Factors affecting behavior of queue. SECTION - II Q6) a) b) Define the terms : i) Utilization factor. ii) Co-efficient of variation. For the Poisson Arrival Pattern show [6] [10] n 1 1 f (t ) . qn(t) = k! Where : Mean Arrival time qn(t) : Probability of Arrival at time t k : Sample Q7) a) b) What do you mean by system dynamics? Explain the system dynamics for system simulation. [8] Simulate y = x1 * x2 Where x1 (t)= 1 0 x1 2 x2 (t) = 1 3 x2 6 [10] [3664]-42 2 Q8) a) b) c) Q9) a) b) What is the need for chi2 test? What are its pre-requisite. [6] What is the need for random numbers? How these are generated on computer. [6] A dairy firm with random variation in daily yielding 40 liters with confidence level 95%. Determine the variation for 96-day 1 = 1.96 [4] 1 2 . Draw the flow-chart for digital system simulation on EDA tool and explain the blocks. [8] Explain the optimization of digital system based on various operational parameters and modeling used. [8] Q10)Write notes on : a) Generation and test of random numbers. b) Validation of model. vvvv [3664]-42 3 [16]

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