Applied Mathematics – I S. R. Rege: D. M. Doke: Latika Bonde (3) Fundamentals of Digital Computing Vishesh Shrivastava (4) Electronics and Communication Technology Vishesh Shrivastava (5) Introduction to C++ Programming Sanjeela Sagar BSc IT SECOND YEAR: SEM III (New Syllabus) (1) Logic and Discrete Mathematics S. R. Rege: Latika Bonde (2) Computer Graphics Ravindra Sangle (3) Advanced SQL Sanjeela Sagar (4) Object Oriented Programming with C++ Sanjeela Sagar (5) Modern Operating Systems Jayalakshmi
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mywbut.com Structured Programming 1 mywbut.com Specific Instructional Objectives At the end of this lesson the student will be able to: • • • • Identify the important features of a structured program. Identify the important advantages of structured programming over unstructured ones. Explain how software design techniques have evolved over the last 50 years. Differentiate between exploratory style and modern style of software development. Important features of a structured
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Section 1.1 Propositional Logic 1 CHAPTER 1 The Foundations: Logic and Proofs SECTION 1.1 Propositional Logic 2. Propositions must have clearly defined truth values‚ so a proposition must be a declarative sentence with no free variables. a) This is not a proposition; it’s a command. b) This is not a proposition; it’s a question. c) This is a proposition that is false‚ as anyone who has been to Maine knows. d) This is not a proposition; its truth value depends on the value of
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Fuzzy Logic based Controller to improve Demand Side Management Nivedita Patnaik Department of Electrical Engineering Indian Institute of Technology‚ Kharagpur – 721302‚ India Abstract Energy demand management or Demand Side Management (DSM) involves actions that influence the pattern of energy consumption by consumers. In this paper a fuzzy logic based approach towards shifting the average power demand of residential electric water heaters has been discussed. Power system demand side management
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LINEAR PROGRAMMING DATE; 5 JUNE‚ 14 UNIVERSITY OF CENTRAL PUNJAB INTRODUCTION TO LINEAR PROGRAMMING Linear programming (LP; also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. Linear programming is a special case of mathematical programming. It is a mathematical
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Gian Carlo De Leon Torres O0A February 3‚ 2010 Programming Languages The Role of Programming in Information Technology I certainly most agree to the perspective of the author from RIT‚ where the role of programming in Information Technology is subsequently different to Computer Science‚ Software Engineering and Computer Engineering. Though one of the most common applications and commodities of IT now is that integration in doing business systems in the growing era of information-through-anetwork
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Jay-Marken Sionel Soriano Associate in Computer Science 2 Assembly Language An assembly language is a low-level programming language for a computer‚ microcontroller‚ or other programmable device‚ in which each statement corresponds to a single machine code instruction. Each assembly language is specific to a particular computer architecture‚ in contrast to most high-level programming languages‚ which are generally portable across multiple systems. Assembly language is converted into executable machine
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Examination In ------------------------------------------------- SYMBOLIC LOGIC ------------------------------------------------- “Great knowledge comes to those who are willing to learn.” Test I. Identification. Choose the correct answer from the choices provided inside the box. Hypothetical Proposition Broad Disjunctive ~ Conditional Proposition Conjunctive Proposition V Disjunctive Proposition Symbolic Logic . Strict Disjunctive = Ɔ Hypothetical Proposition Broad Disjunctive
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1 Domino Logic Kapalavayi Sai Ram‚ (2012EE10455)‚ Electrical Engineering Abstract—Dynamic logic circuits are of great use in modern digital VLSI circuits. Dynamic logic style is used in high performance circuit design because of its fast speed and less transistors requirement as compared to CMOS logic style. Domino logic circuits‚ one well known dynamic logic family‚ which‚ however‚ suffers from its inability to perform inversions. Various methods have been proposed to overcome this restriction
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Part I The Fuzzy Logic concept was created by a man named Lotfi Zadeh in 1960. He was a professor at the University of California. He originally presented Fuzzy Logic as a way of processing data‚ which would allow partial set memberships rather than crisp set membership or non-membership. Overall Fuzzy logic is a problem solving control system. Fuzzy Logic provides a simple way to arrive at a definite conclusion based upon fuzzy‚ confusing‚ imprecise‚ or missing input information. It helps to
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