CHAPTER 2 BINARY CODE 2.1 History of Binary Code: Binary numbers were first described in Chandashutram written by Pingala around 300 B.C. Binary Code was first introduced by the English mathematician and philosopher Eugene Paul Curtis during the 17th century. Curtis was trying to find a system that converts logic’s verbal statements into a pure mathematical one. After his ideas were ignored‚ he came across a classic Chinese text called I Ching or Book of Changes‚ which used a type of binary code
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Contemporary Business Thinking COMM 210 – Section L Fall 2012 Instructor: Adel Raphaël Office: MB 012-104 Telephone: 514-848-2424 ext. 5492 Email: araphael@jmsb.concordia.ca Office Hours: Monday 13:15 to 14:15 Thursday 13:15 to 14:15 and by appointment Course Objective: This course presents a broad
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Early in the information technology revolution Richard Mason suggested that the coming changes in information technologies would necessitate rethinking the social contract (Mason 1986). What he could not have known then was how often we would have to update the social contract as these technologies rapidly change. Information technologies change quickly and move in and out of fashion at a bewildering pace. This makes it difficult to try to list them all and catalog the moral impacts of each. The
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purpose of B-BBEE verification is to issue an accurate B-BBEE Certificate and score of an organisation‚ based on measuring credible evidence provided by an organisation. All B-BBEE measurements calculated in lieu of issuing certificates must be done by a SANAS accredited B-BBEE verification agency‚ or individual practitioner (B-BBEE Professional). In doing this‚ an organisation will have peace of mind that the score they attain on their certificate is based on a credible verification measurement and
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“The verification principle offers no real challenge to religious belief” Discuss Verification is a philosophical theory about the nature of language and meaning that was popular in the first half of the twentieth century. It maintains that for a statement to be meaningful it has to describe a state of affairs that can be tested or verified‚ i.e. can be shown to be true or false by sense-experience. This is called the verification principle. The verification movement was influenced by science‚ which
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An algorithm‚ according to the Random House Unabridged Dictionary‚ is a set of rules for solving a problem in a finite number of steps. One of the fundamental problems of computer science is sorting a set of items. The solutions to these problems are known as sorting algorithms and rather ironically‚ “the process of applying an algorithm to an input to obtain an output is called a computation” [http://mathworld.wolfram.com/Algorithm.html]. The quest to develop the most memory efficient and
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and OPT algorithms (other than looking backward versus forward in time) is that the FIFO algorithm uses the time when a page was brought into memory‚ whereas the OPT algorithm uses the time when a page is to be used. If we use the recent past as an approximation of the near future‚ then we can replace the page that has not been used for the longest period of time (see Fig. 9.14). Figure 9.14: LRU page-replacement algorithm. This approach is the least-recently-used (LRU) algorithm. The result
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Pradeep reddy Pinninti - 85025 1- Depth-first search always expands at least as many nodes as A* search with an admissible heuristic FALSE. Depth-first search may possibly‚ sometimes‚ expand fewer nodes than A* search with an admissible heuristic. E.g.‚ it is logically possible that sometimes‚ by good luck‚ depth-first search may march directly to the goal with no back-tracking. 2- h(n) = 0 is an admissible heuristic for the 8-puzzle TRUE. h(n)=0 NEVER over-estimates the remaining optimal distance
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“Shaker Sort Algorithm” History Features Algorithm/Process Implementation 1. Pseudo code 2. Flowchart 3. Other programs Sample case study History of shaker sort Shaker Sort (implemented by Jason Harrison) Shaker Sort is like Selection Sort in that it passes over the unsorted part of the array to select the next element(s) to add to the sorted part. It differs in that with each pass it looks for the smallest and the largest remaining element. It then moves the smallest element into its
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SURVEY PAPER Top 10 algorithms in data mining Xindong Wu · Vipin Kumar · J. Ross Quinlan · Joydeep Ghosh · Qiang Yang · Hiroshi Motoda · Geoffrey J. McLachlan · Angus Ng · Bing Liu · Philip S. Yu · Zhi-Hua Zhou · Michael Steinbach · David J. Hand · Dan Steinberg Received: 9 July 2007 / Revised: 28 September 2007 / Accepted: 8 October 2007 Published online: 4 December 2007 © Springer-Verlag London Limited 2007 Abstract This paper presents the top 10 data mining algorithms identified by the IEEE
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