PART 2 : FOURIER SERIES Objective : 1. To show that any periodic function (or signal) can be represented as a series of sinusoidal (or complex exponentials) function. 2. To show and to study hot to approximate periodic functions using a finite number of sinusoidal function and run the simulation using MATLAB. Scope : In experiment 1‚ students need to learn using MATLAB by connect it with Fourier series‚ where students must know how the output changes as higher order terms are added
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ActiveX controls are currently limited to Windows environments. Active X control can be written in Visual Basic but Excel provides some via the tool box. Control ToolBox: These are special tools within excel that can help the user create controls within a data entry form‚ such as adding buttons‚ text box etc. The control toolbox will have some components of the Active X control as well as others. But the other controls cannot be viewed using a web browser. The diagram below shows us the similarities
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Introduction (Vehicle suspension analysis using Fuzzy Logic) Generally for analysis of vehicle suspension systems various types of vehicle suspension models were taken by the researchers. The most commonly used models are 1. Quarter car model 2. Half car model 3. Full car model The details of the three types are discussed below 1.1 Quarter car model On this particular model‚ only ¼ of the vehicle is taken into consideration to develop a vehicle suspension low level controller. Model is a two dimensional
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The ABC Analysis What is it? ABC analysis‚ Pareto’s law or “80/20 rule” are all-synonymous of the same tool which basically states that 20% of a given population represents 80% of a specific characteristic. In purchasing‚ the basic ABC analysis is used to identify which segments represent most of the spend in a given category or portfolio. Most of the time‚ few segments in a portfolio constitute the largest part of the total spend. Usually‚ - The A segments represent approximately 80% of the total
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Contents P1 - Identify the key features of event driven programming such as events‚ event loops and event handlers 2 P2 - Explain how development environment components (e.g. Solution Explorer‚ Forms‚ Toolbox‚ Code Editor‚ Debugger‚ and Property Window) simplify the development. 3 M1 - Describe the features of an event driven language that make it suitable for creating a GUI 5 D1 - Evaluate the suitability of event driven programs for non-graphical applications 6 References 7 P1 - Identify
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EDWARD DE BONO’S CoRT¹ TOOLS - Introduction - CAF (Consider All Factors) 1 Edward de Bono’s Thinking Tools • Simple and practical – can be used at all ability levels and at all ages from 5 up • A “toolbox” approach – Just as a carpenter would choose different tools from his toolbox and use them in different sequences depending on the job at hand‚ so could one use appropriate tools in thinking about a particular issue‚ or for generating ideas. 2 CoRT¹ TOOLS • CAF – Consider
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This section presents an example that shows how to develop a simple Bean and connect it to other components via the BDK. Our new component is called the Colors Bean. It appears as either a rectangle or ellipse that is filled with a color. A color is chosen at random when the Bean begins execution. A public method can be invoked to change it. Each time the mouse is clicked on the Bean‚ another random color is chosen. There is one boolean read/write property that determines the shape. The BDK
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1.|So far as we know‚ the first person who claimed that natural phenomena could be described by mathematics was| |A) Copernicus. B) Pythagoras. C) Aristotle. D) Ptolemy.| |Ans: BSection: Chapter 2‚ Introduction| 2.|The ancient Greek thinker Pythagoras held the view that| A)|triangles do not exist.| B)|natural phenomena are wonderful to watch but cannot be described by mathematics.| C)|the Sun is at the center of the planetary system.| D)|natural phenomena can be described
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SECURITY MANAGEMENT AGAINST CLONING MOBILE PHONES Mirela Sechi Moretti Annoni Notare1 Azzedine Boukerche2 Fernando A. S. Cruz1 Bernardo G. Riso1 Carlos B. Westphall1 1 Network and Management Laboratory Federal University of Santa Catarina (UFSC) {mirela‚ cruz‚ riso‚ westphal}@lrg.ufsc.br 2 Department of Computer Sciences University of North Texas boukerche@silo.csci.unt.edu Abstract: This work presents the development of a distributed security management system for telecommunication networks
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EL 5023/EE4183 Wireless Information Systems Laboratory Lab #11 Software Defined Radio (SDR) I. Experimental Procedure Equipment List Universal Software Radio Peripheral (USRP) with Flex900 Radio Spectrum analyzer (Agilent E4411 or equivalent) PC with Matlab/Simulink R2011B CAT 6 Ethernet cable SMA(male)-to-BNC Adapter (for spectrum analyzer) 915 MHz Antenna (qty 2) A. INSTRUMENT CONNECTIONS: Connect the antenna to the SMA connector labeled RF1 port on the front of the USRP. Connect another antenna
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