application is divided into two parts the Front End Design and Graphical User Interface and the Back End Component and logic. This thesis discusses the development logic and code programming implementation design for the Back End Component. The algorithm used‚ steps to improve the execution speed‚ and methods finally adopted are described in detail. The graphical user interface and its components are defined briefly to give a clear picture of the overall application. Furthermore‚ the technologies
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information into either ascending or descending order. There are many sorting algorithms‚ among which is Bubble Sort. Bubble Sort is not known to be a very good sorting algorithm because it is beset with redundant comparisons. However‚ efforts have been made to improve the performance of the algorithm. With Bidirectional Bubble Sort‚ the average number of comparisons is slightly reduced. This paper presents a meta algorithm called Oyelami’s Sort that combines the technique of Bidirectional Bubble Sort
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……………………………3 2. Lossless Compression Algorithm……………..……………………………………………………….4 2.1 Run-Length Encoding……………………..…………………………….……………………………4 2.1.1 Algorithm……………………………..………………………………………………………………….5 2.1.2Complexity ……………………………..………………………………..……………………………….5 2.1.3 Advantages and disadvantage…………..…………………….………………………………6 3. Huffmann coding………………………………..……………………….…………………………………6 3.1 Huffmann encoding…………………………..………………………………………………………..6 3.2 Algorithm…………………………………………………………..………………………………………
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Axia College Material Appendix J Algorithm Verification Consider the following selection statement where X is an integer test score between 0 and 100. input X if (0 <= X and X < 49) output "you fail" else if (50 <= X and X < 70) output "your grade is" X output "you did OK" else if (70 <= X and X < 85) output "your grade is" X output "you did well" else if (85 <= X and X < 100) output "your grade is" X output "you did great" endif output
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This work of ECET 370 Week 5 Lab 5 shows the solutions to the following problems: Exercise 1 Exercise 2 Exercise 3/2 Exercise 4 General Instructions Exercise 1 uses the programs in DocSharing labeled "Search algorithms." Exercise 1: Review of the Lecture Content Create a project using the ArrayList class and the Main class provided in DocSharing. The ArrayList class contains implementations of the first three search methods explained in this week’s lecture: sequential
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Comparison of Optimized Backpropagation Algorithms W. Schiffmann‚ M. Joost‚ R. Werner University of Koblenz Institute of Physics Rheinau 3–4 W-5400 Koblenz e-mail: evol@infko.uni-koblenz.de Presented at ESANN 93‚ Br¨ ssel u Abstract Backpropagation is one of the most famous training algorithms for multilayer perceptrons. Unfortunately it can be very slow for practical applications. Over the last years many improvement strategies have been developed to speed up backpropagation. It’s
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Best-first search is a search algorithm which explores a graph by expanding the most promising node chosen according to a specified rule. Judea Pearl described best-first search as estimating the promise of node n by a "heuristic evaluation function f(n) which‚ in general‚ may depend on the description of n‚ the description of the goal‚ the information gathered by the search up to that point‚ and most important‚ on any extra knowledge about the problem domain."[1] [2] Some authors have used "best-first
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classification algorithms applied‚ the BBC forum dataset [112] used and the performance evaluation measures used to analyze the results. 5.5.1 Classification Algorithms For classification task‚ in this module‚ we used the four classification algorithms of Support Vector Machine‚ Decision Tree‚ Naïve Bayes and Logistic Regression provided in ODM[107]. As discussed earlier that it is used for data mining tasks in a number of existing research works[108-110]. Maximum Description Length (MDL) algorithm has been
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different queuing and propagation delays‚ and packets reach the destination with a wide range of inter-arrival times[36]. We need to achievement the QoS with the best performance thus the suggestion to combine two algorithms‚ the first algorithm simple switching spanning tree‚ and second algorithm multipath and must be using the Queue to set in switching. The first method design to learning the all switches about the location of the host in switch and then avoid any loop by using some codes‚ and second
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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 17‚ 713-727 (2001) A Fast Algorithm for Multilevel Thresholding PING-SUNG LIAO‚ TSE-SHENG CHEN* AND PAU-CHOO CHUNG+ Department of Electrical Engineering ChengShiu Institute of Technology Kaohsiung‚ 833 Taiwan * Department of Engineering Science National Cheng Kung University Tainan‚ 701 Taiwan + Department of Electrical Engineering National Cheng Kung University Tainan‚ 701 Taiwan Otsu reference proposed a criterion for maximizing the between-class
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