queuing (FQ) algorithm to mainly provide 1) fair allocation of bandwidth‚ 2) lower delay for sources using less than their full share of bandwidth‚ and 3)protection from ill-behaved sources. They argue that First-Come-First-Serve (FCFS) queuing is not adequate; more discriminating queuing algorithms must be used in conjunction with source flow control algorithms to control congestion effectively in noncooperative environments. While designing algorithm they consider
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Data analysis has multiple facets and approaches encompassing diverse techniques. 5.3.5 Apriori Algorithm Apriori algorithm is used to find frequent item-sets.
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No. 3‚ 15-22. Andrew‚ G. (2002‚ April 13). An Explanation of the ’Deflate ’ Algorithm. Retrieved April 23‚ 2013‚ from www.zlib.net: http://www.zlib.net/feldspar.html Aswin‚ K Avramović‚ A.‚ and Savić‚ S. (2011‚ February). Lossless Predictive Compression of Medical Images*. SERBIAN JOURNAL OF ELECTRICAL ENGINEERING‚ 8‚ 27-36. Bahadili‚ H.‚ and Rababa ’a‚ A. (2010). A Bit-Level Text Compression Scheme Based on HCDC Algorithm. International Journal of Computer and Applications‚ 32(3). Chandra‚ N. S.
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Ramya Yapala VHDL IMPLEMENTAION USING SPIKE SORTING ALGORITHM A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE DEGREE OF MASTER OF SCIENCE IN MICRO ELECTRONICS VHDL IMPLEMENTATION USING SPIKE SORTING ALGORITHM A Thesis submitted to Newcastle University for the degree of MSc Micro Electronics 2011 Supervisor: Dr Graeme Chester Student Name: Ramya Yapala Student Number: 109230832 SCHOOL OF ELECTRICAL‚ ELECTRONIC AND COMPUTER ENGINEERING NEWCASTLE UNIVERSITY SCHOOL OF ELECTRICAL
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Researcher‚ 2010;2(12) http://www.sciencepub.net/researcher Data hiding Algorithm for Bitmap Images using Steganography Mamta Juneja Department of computer science and Engineering‚RBIEBT‚Sahuran er_mamta@yahoo.com Abstract: Steganography is related to cryptography and is the basis for many of the digital watermarking techniques currently being developed. The interest in data hiding has risen with the recent activity in digital copyright protection schemes. As the information age progresses and
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learning methods‚ and etc. In this project‚ genetic algorithm will be used to solve this problem by using GAlib package. Genetic Algorithms are adaptive methods which may be used to solve search and optimization problems. They are based on the genetic processes of biological organisms. Over many generations‚ natural populations evolve according to the principles of natural selection and "survival of the fittest". By mimicking this process‚ genetic algorithms are able to "evolve" solutions to real world
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Association Rule Mining using Apriori Algorithm Ghanshyam Verma‚ Shruthi Varadhan Computer Technology Department KITS-Ramtek‚ Nagpur-441106 gs.verma@live.com shruthivaradhan@gmail.com Abstract— Data mining is the process that results in the discovery of new patterns in large data sets. Data mining involves six common classes of tasks: Anomaly detection‚ Association Rule Mining‚ clustering‚ classification‚ regression and summarization. Association rule learning is a popular and well researched
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An Implementation of a Backtracking Algorithm for the Turnpike Problem in Membranes Maria Cristina Albores‚ Richelle Ann Juayong‚ and Henry Adorna Department of Computer Science (Algorithms and Complexity) Velasquez Ave.‚ UP Diliman Quezon City 1101 ∗ [maalbores‚ rbjuayong‚ hnadorna]@up.edu.ph ABSTRACT The goal of the Turnpike Problem is to reconstruct those point sets that arise from a given distance multiset. Although the Turnpike Problem itself is of unknown complexity‚ variants of it have
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Asymptotic Functions: Big-O notation: The formal method of expressing the upper bound of an algorithm’s running time (worst case) Big-Omega notation: The formal method of expressing the lower bound of an algorithm’s running time (best case) Theta Notation: The method of expressing that a given function is bounded from both top to bottom by the same function This exists if and only if f(n) is O(g(n)) and f(n) is Ω(g(n)) Little-O notation:
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contact. 1.2) Prepare the diluted NaOH solution by adding 25 mL of the stock NaOH solution prepared in part 1.1 to a 500 mL bottle and top it up to 250 mL with boiled deionized water. Cap the bottle to prevent the absorption of CO2. Calculate the approximate molar concentration of this diluted NaOH solution.
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