"Algorithm planning for home maintenance" Essays and Research Papers

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    Project – is a set of related tasks/activities with a beginning and an end‚ undertaken by people to meet established goals within defined constraints of time‚ resources and quality. Project Management – is the systematic planning‚ organizing and controlling of allocated resources to accomplished project cost‚ time and performance objectives. It the application of modern management techniques and system ICT – Information and Communication Technology – encompasses all forms of computing systems

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    // FREQUENT SUBTREE MINING ALGORITHM... #include #include #include #include #include #include using namespace std; FILE *fp; int no_of_nodes=0‚ string_ctr=0‚ vect_ctr=0‚ vect_ctr1=0‚pos_ctr=0‚*pos; struct MyNode { string name; vector children; }*myroot‚ *myroot1‚ **tree_pattern‚ **subtree_pattern; //FUNCTION PROTOTYPES DECLARATION ... static void print_element_names(xmlNode *); static MyNode* preprocess(xmlNode *‚MyNode *‚ int); int printMyNode(MyNode *); void

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    SOP for weekly maintenance

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    HHD 53rd Transportation Battalion 7th Sustainment Brigade Fort Eustis‚ VA 23604 HHD 3rd Platoon Weapons Maintenance SOP AFD-Q6FG 10-0013 Effective Date 29 October 2013 1. PURPOSE: To address the clearing‚ disassembling‚ cleaning‚ inspection for serviceability‚ lubricating and reassembling of the M4 or M4A1 carbine. 2. APPLICABILITY:

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    SHORTEST PATH ALGORITHM Faculty of Computer Science & Information system ABSTRACT Dijkstra Algorithm is utilized to compute shortest path in a network. It is essential to explain the different types of connected‚ directed and weighted graphs. Tree is also discussed with the help of graph. Dijkstra shortest path is shown and described with the example. Pseudo code and algorithm are also included along with their efficiency and applications. The different aspects of related algorithms were discussed

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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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    Quickselect algorithm implementation A project report submitted in partial fulfillment of the requirements of Algorithms Design Course (ICS353) for the completion of degree of Bachelor of Science in Computer Engineering The Computer Science Department King Fahd University of Petroleum and Minerals January‚ 2011 ABSTRACT Sorting and selection is widely used by computer applications intermediary to finish tasks like searching. QUICKSELECT algorithm is known to be among fastest selection

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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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    Introduction to Genetic Algorithms S.N.Sivanandam · S.N.Deepa Introduction to Genetic Algorithms With 193 Figures and 13 Tables Authors S.N.Sivanandam Professor and Head Dept. of Computer Science and Engineering PSG College of Technology Coimbatore - 641 004 TN‚ India S.N.Deepa Ph.D Scholar Dept. of Computer Science and Engineering PSG College of Technology Coimbatore - 641 004 TN‚ India Library of Congress Control Number: 2007930221 ISBN 978-3-540-73189-4 Springer Berlin Heidelberg

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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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    At Home but Not at Home

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    At home but not at home Nicole Constable The main aim of the article is showing that in case of migrants (specifically Filipinas in Honk Kong) the concept of home is not as simple and unambiguous as it may seem. Constable presents different conceptualizations of the notions “space”‚ “place” and “home”. He follows the conception of Ackbar Abbas‚ who writes‚ "We think of a place in terms of definable physical characteristics and situatedness‚ at most as a symbolic structure. A space by contrast

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