CHAPTER 1 ORGANIZATION PROFILE Snow and Avalanche Study Establishment (SASE) is a laboratory of the Defense Research & Development Organization (DRDO). Located at CHANDIGARH its primary function is research in the field of snow and avalanches to provide avalanche control measures and forecasting support to Armed forces. SASE registered steady growth from 1971 to 1977 and role of SASE was enlarged with the constitution of Advisory Committee. Avalanche forecasting‚ Artificial
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diced * 400 g canned chopped tomatoes * 2 tbsp tomato purée * 500 ml beef stock‚ made with 1 beef stock cube * 1 tbsp Worcestershire sauce * 1 tsp dried mixed herbs * 4 tbsp cornflour * 1 tbsp cold water For the leeky potato topping: * 750 g floury potatoes‚ such as King Edwards or Maris Pipers * 2 tsp sunflower oil * 2 slender leeks‚ trimmed and cut into 1cm slices * 150 g half-fat creme fraiche Buy Ingredients at mySupermarketMore information Method
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Theory: 50 Marks Online: 50 Marks Discrete mathematics- The mathematics of integers and of collections of object underlies the operation of digital computer‚ and is used widely in all fields of computer science for reasoning about data structures algorithms and complexity. The primary objective of subject is to prepare students mathematically for the study of computer engineering. Topics covered in the course include proof techniques‚ logic and sets‚ functions‚ relations‚ counting techniques‚ probability
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Cryptography and Network Security Principles and Practices‚ Fourth Edition By William Stallings Publisher: Prentice Hall Pub Date: November 16‚ 2005 Print ISBN-10: 0-13-187316-4 Print ISBN-13: 978-0-13-187316-2 eText ISBN-10: 0-13-187319-9 • Table of Contents • Index eText ISBN-13: 978-0-13-187319-3 Pages : 592 In this age of viruses and hackers‚ of electronic eavesdropping and electronic fraud‚ security is paramount. As the disciplines of cryptography and network security have matured‚ more
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FaaDoOEngineers.com Engaging Peers‚ Inspiring Careers! India’s No.1 website for: • IIT-JEE/AIEEE preparation resources • Coaching centre packages • Engineering Major and Minor projects • Seminar reports • Paper presentations • EBOOKS • Resumes/CVs‚ and so much more… Software Engineering 2 Unit 1 syllabus • Introduction to Software Engineering : The evolving role of software‚ Changing Nature of Software‚ Software myths. • A Generic view of process : Software engineering-
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Credits Semester – III S.No. Course Code 12 13 14 15 16 17 COMP 731 COMP 732 COMP 733 COMP 736 COMP 837 BAM 796 Semester – IV S.No. Course Code 18 COMP 842 19 COMP 843 20 COMP 852 21 MAS 721 22 BAM 864 23 COMP 799 Course Name Design & Analysis of Algorithms Computer Networks Database Management Systems Object Modeling Techniques and UML Compiler Design Accounting and Finance Management Total Credits Course Name Data Warehousing & Mining Artificial Intelligence and Expert Systems Advanced Java Programming
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Management Sci. 6 80–91. Hoendervoogt‚ A. 2006. Period scheduler: An algorithm for strategic planning. Master’s thesis‚ Tilburg University‚ Tilburg‚ The Netherlands. Kant‚ G. 2006. Ruim Baan! OR en IT in Transport en Logistiek. Speech‚ Tilburg University‚ Tilburg‚ The Netherlands. Poot‚ A.‚ G. Kant‚ A. P. M. Wagelmans. 2002. A savings based method for real-life vehicle routing problems. J. Oper. Res. Soc. 53 57–68. Solomon‚ M. M. 1987. Algorithms for the vehicle routing and scheduling problems with time window
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Techniques are available now which help us to detect plagiarism. As the amount of programming code being created is increasing‚ techniques are available now to detect plagiarism in source code also. Current research is in the field of development of algorithms that can compare and detect plagiarism. In this paper a few techniques used in the Plagiarism Detection is shown along with some tools which are being used. Keywords : Plagiarism‚ Plagiarism Detection‚ Plagiarism Prevention‚ Source Code Plagiarism
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GUJARAT STATE LEVEL ELIGIBILITY TEST Code No.:19 Subject : COMPUTER SCIENCE AND APPLICATIONS SYLLABUS AND SAMPLE QUESTIONS Note : There will be two question papers‚ Paper—II and Paper—III. Paper—II will cover 50 Objective Type Questions carrying 100 marks. Paper—III will be of 200 marks and will consist of four sections‚ in all containing 26 questions (short and essay type) to attempt. For detail structure of Paper-III please visit our website http://www.msubaroda.ac.in PAPER-II 1. Discrete
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learn from experience E with respect to some class of tasks T and performance measure P‚ if its performance at tasks in T‚ as measured by P‚ improves with experience E.[1] Generalization Generalization is the ability of a machine learning algorithm to perform accurately on new‚ unseen examples after training on a finite data set. The core objective of a learner is to generalize from its experience.[2] The training examples from its experience come from some generally unknown probability distribution
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