Flood-Fill Flood-fill • Used in interactive paint systems. • The user specify a seed by pointing to the interior of the region to initiate a flood operation Recursive Flood-Fill • Fill a image-space region with some intensity (color) value • How to define the region? • Fill Until vs. Fill While • 4-connectivity vs. 8-connectivity Flood-Fill from Seed • Start from the seed and floods the region until a boundary is met. A simple recursive algorithm can be used: void floodFill(int x‚ int
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message‚ determining the data transfer rate between devices‚ and acknowledging message receipt. Third‚ protocols provide a basis for error checking and measuring network performance. This is done by comparing measured results against expectations. For example‚ performance measures pertaining to storage access times‚ data transmission rates and modulation frequencies are critical to control the network’s function. Thus‚ the identification and correction of errors depend on protocol standards that define
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PCM CODING/COMPANDING Q1. a)i) The process of quantisation introduces an error or noise component into the quantised signal. Derive an equation for the mean-squared quantisation error in terms of the quantization interval ‘a’. ii) Hence show that the peak signal-to-quantisation noise ratio (SQNR) is SQNR = ( 6n + 4.8 ) dB Where 2 n is the number of quantisation levels. b)i) Linear quantisation is used prior to binary PCM encoding of an analogue baseband signal which has
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File size‚ Transfer Rate‚ and Transfer Time Larry Pfaff NT1110 ITT Technical Institute Table 1: Calculating transfer time File Size Transfer Rate Transfer Time 100 MB 56 Kbps 4.16 hr 100 MB 4 Mbps 3.49 hr 2 GB 56 Kbps 3.55 days 2 GB 4 Mbps 1.19 hr Convert file size and transfer rate to bits - S/R=T File size 100 MB Transfer Rate 56 Kbps = 4.16 hr 100*1048576*8/56000=14‚979.66 sec/60min=249.66 min/60(hour) = 4.16 hour File Size 100 MB Transfer Rate 4 Mbps = 3.49 mins 100*1048576*8/4000000=209
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King Saud University College of Computer and Information Sciences Information Technology Department IT327 Artificial Intelligence Homework 2 search strategies Q1. A. Show that DFS generates about O(bm) nodes in the search tree. m: The maximum length of any path in the state space b: The branching factor: maximum number of successors of any node. At the worst case‚ DFS generates about O(bm) nodes in the search tree. As follows : At m (max depth )tries : 1 +b + b2 + b3 +….+ bm =O(bm)
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Iterative Deepening A-star (IDA*) Kent Benedict Clapano Earl Karlo Mationg Contents ● Prerequisites ● Description ● Algorithm ● Example ● Analysis ● Applications ● References Iterative Deepening A-star (IDA*) CSC 171 – Introduction to AI 1 Prerequisites ● Iterative Deepening Depth-First Search ● A* algorithm Iterative Deepening A-star (IDA*) CSC 171 – Introduction to AI 2 Description Iterative Deepening A* is a graph traversal and path search algorithm that can find the
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Page 1 of 2 King Saud University College of Computer and Information Sciences Information Technology Department IT422 Artificial Intelligence HOMEWORK 1 Q1: Problem formulation Three fathers with 3 children (A and his child CA‚ B and his child CB‚ and C and his child CC) are standing on side North of a river. The three fathers want to cross the river (go to side South) with their children‚ but there is only one boat‚ which can hold a maximum of two persons (a child is considered a person). Furthermore
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HIGH THROUGHPUT SCREENING Released On 19th September 2015 High Throughput Screening (HTS) Market research report emphasizes on both the technology and product segments of HTS in biotechnology and pharmaceutical application areas. The major technologies analyzed include Ultra High Throughput Screening‚ High Content Screening‚ Bioinformatics and Microfluidics/Lab-On-a-Chip; and the major product segments encompass HTS Services and HTS Tools. The global markets for Novel High Throughput Screening
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operations using Entity Framework. Using examples specified below implement the following pages: Page that will show all the employees Page that will show all the employees filtered by Job Page where you will be able to insert or update new employee Page where you will be able to delete employee by EmpNo Create tables that we used for Library case study in SQL Server DB and implement Lbrary system using Entity Framework. Entity Framework Examples Select //getting list of objects
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#include <stdlib.h> #include <stdio.h> #include <string.h> #include "dynamicArray.h" #include <assert.h> /* param: s the string * param: num a pointer to double * returns: true (1) if s is a number else 0 or false. * postcondition: if it is a number‚ num will hold * the value of the number * */ int isNumber(char *s‚ double *num) { char *end; double returnNum; returnNum = strtod(s‚ &end); /* If there’s
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