Q.29 Differentiate AES and DES algorithms.
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- Q.4 Explain steps in genetic algorithm.barcode scanner for Universal Product Codes(UPCs) verifies the 12-digit code scanned by comparing thecode’s last digit (called a check digit ) to its owncomputation of the check digit from the first 11 digits asfollows:I. [step 1]Calculate the sum of the digits in theodd-numbered positions (the first, third, …,eleventh digits) and multiply this sum by 3.II. [step 2]Calculate the sum of the digits in theeven-numbered positions (the second, fourth, …,tenth digits) and add this to the previousresult(result of step1).III. [step 3]If the last digit of the result from step2 is 0, then 0 is the check digit. Otherwise,subtract the last digit from 10 to calculate thecheck digit.IV. [step 4]If the check digit matches the final digitof the 12-digit UPC, the UPC is assumed correct.1. Write main function that prompts the user to enterthe 12 digits of a barcode. The program shouldstore the digits in an integer array.2. Write a “check” function to calculate the checkdigit, and compare it to the final…When the DFA minimization algorithm merges states p and q, then a) p and q are dead-end states b) p is distinguishable from q c) p and q are start states d) p is equivalent to q e) p and q are not reachable from the start state
- Q.10 Explain the basics of genetic algorithm along with its applications.GQ5 For binary coding of chromosomes (solutions) in genetic algorithms, how many chromosomes are involved in a single crossing operation? a). 1 b). 2 с). З d). 46. The number of operations executed by algorithm A is 96nª. The number of operations executed by algorithm B is 3n4*2". Determine no such that algorithm A has the same performance as algorithm B for nz no.
- Q2) a) Explain shortly how you can build a Turing Machine (TM) that accepts L. In other words, explain shortly the logic behind your design. b) Draw the Turing Machine that accepts L. c) Show the execution chains for the following three inputs: aabbbbcccAA... bbcAA... CAA...An arithmetic sequence a starts 84,77,... Define a recursively Define a for the n th termb. Assume a genetic algorithm uses chromosomes and the initial population have four individuals' chromosomes ie. x, = 13532456 X2 = 60162178 X3 : = 85212239 X4 = 94025814 Perform the one-point crossover and two-point cross over operations.
- Case Study 3 Part 1 - Euclidean Algorithm 1. Use the Euclidean Algorithm to find the greatest common divisor of ( integers 396 and 480. (Show all workings) Part 2 Problem: Measuring Efficiency One challenge we will face is how to compare the efficiencies of two or more algorithms, to determine which is more efficient. We will have to use a common measure for example time or space First, we must determine what is most important to us (time or space or some other measure). Then compare the efficiencies (e.g., how much time each algorithm takes to execute, or how much space each algorithm uses). The challenge of timing an algorithm may introduce unwanted bias or overheads, therefore, we need a method that makes comparison fair. We are usually interested in the order of growth of the running time of an algorithm, not in the exact running time. Asymptotic notation gives us a method for classifying functions according to their rate of growth. Scenario: Bigi-Xam 9.0 is a mobile app…IKT204-G H21, Link-state algorithm 16 6. 2 3 1 2 Run Dijkatra's link-state algorithm in nade u an the network of rauters showm in the figure abavn and fil in the table balow Step N' Notation N' contains the visited nodos, listed in the order they are visited (eg. urVxwy or with comma u,v,X.w.y) Din) is the distance to node n. p(n) is the pravious node along this distanca Use the following notation for Din).pin) integer.node le g: 4.z or without comma 4z). If the node is not reachable use inf or single dash for Din).p(n) 3.Explain this algorithm