requirement is open which means that you should try to achieve as good as possible performance for transient‚ stability as well as signal tracking under unit step signal input. To justify the reasonability of your results‚ simulate the system using MATLAB/SIMULINK. Submit a full project report to document your results [pic] Figure 1: An Antenna Azimuth Position Control System [pic] Figure 2: Schematic Diagram of Antenna Azimuth |Parameter |Configuration 1
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The following four areas are ideal for EEE students to do the project work. o Digital Signal Processing (DSP) o VLSI o Communication o Embedded Systems Digital Signal Processing (DSP) is about processing of the digital and audio signals using MATLAB software. VLSI involves VLSI designs of new ICs implemented from Altera & Xilinx. The projects can be on electrical communication‚ machine control etc. Communication Projects are done using GSM‚ DTMF‚ RFID‚ RF‚ XBEE and Smart Card.
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A wireless sensor network also known as the adhoc network is used for the purpose of communication‚ where the communication system is not present especially in natural calamities like earthquakes‚ floods‚ or some army or defence purposes. The network comprises of nodes‚ which communicate with one another using wireless sensors. A wireless connection is developed amidst any two nodes‚ if the radio broadcast of every node is able to cover one another. If the transmission range is limited then a multihop
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Muhammad Waqas MS Electrical Engineering Personal Information Nationality: Pakistani Passport # AL6311212 DOB: 24 Dec‚ 1987 Education MS Electrical Engineering University of Management and Technology‚ July 2012 Bachelors in Electrical Engineering (Electronics & Telecommunication) 3.39 CGPA U.E.T‚ Lahore‚ September‚2009 F.Sc Pre Engineering Bismillah Higher Secondary School‚ 2005 84.4% Matriculation Bismillah Higher Secondary School‚ 2003 82.5% Research Papers: I. II. Optimization
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A1-111‚ LLR Hall‚ IIT Kharagpur jayasurya200@gmail.com + Jaya Surya Teja Vuyyuru 10ME30050 Education Year Degree/Certificate B.Tech & M.Tech Dual Degree‚ Mechanical Engineering 2010-2015 2010 Board of Intermediate examination 2008 Board of Secondary Education Institute/School Indian Institute of Technology‚ Kharagpur CGPA / % 8.89/10 (until 5 semesters) Sri Chaitanya Junior College‚ Vijayawada Bashyam Public School‚ Guntur 95.7 % 91 %
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restoring torque is T = (mg)(Lsinθ) For small angles‚ sinθ is approximately equal to θ in radians and KT = T/θ = mgL 1.39 The buoyant force is equal to the weight of the water displaced = vol x density. F = (πD2/4)(x)(ρg) ; k=F/x=(πD2/4)ρg Use MATLAB to check the spring constant obtained from the slope of the f vs. x plot. Problem 1.49 1.49 x=[0‚.3‚.46‚.7‚.75‚1.05‚1.14‚1.36‚1.55]; f=[0:200:1600] p=polyfit(x‚f‚1) xfit=[0:.1:1.5] ffit=polyval(p‚xfit) plot(x‚f‚’o’‚xfit‚ffit)‚xlabel(’x-cm’)
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log(y) =mx+log(b) log(Y) vs. X Logarithmic* x=bemy ln(x) =my+ln(b) X = my+B semilogx my x=b10 log(x) =my+log(b) Y vs. log(X) Power y=bxm ln(y)=m*ln(x)+ln(b) Y = mX+B log-log log(Y) vs. log(X) *logarithmic equations with calculations done in Excel or MATLAB you will have to solve for x xor you can enter y as independent variable and log(x) as depended variable Transform data into linear form and back Linear Exponential X Do nothing you To linear form already have the 1. y=bemx linear form 2. ln(y) =
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MFE MATLAB Function Reference Financial Econometrics Kevin Sheppard October 30‚ 2009 2 c 2001-2009 Kevin Sheppard Contents Notes v 1 Included but not documented functions 1 2 Cross Sectional Analysis 5 2.1 Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 3 Regression: ols Stationary Time Series 3.1 ARMA Simulation . . . . . . . . . . .
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Chapter 2 Automated Highway Systems A major long-term element of Intelligent Transportation Systems research and development is Automated highway Systems (AHS). The AHS program is a broad international effort “to provide the basis for‚ and transition to‚ the next major performance upgrade of the vehicle/highway system through the use of automated vehicle control technology” [NAHSC96]. The detailed definition of the Automated Highway System is as follows [Plan93]: The term “fully automated
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1.INTRODUCTION What is a Brain-Computer Interface? A brain-computer interface uses electrophysiological signals to control remote devices. Most current BCIs are not invasive. They consist of electrodes applied to the scalp of an individual or worn in an electrode cap such as the one shown in 1-1 (Left). These electrodes pick up the brain’s electrical activity (at the microvolt level) and carry it into amplifiers such as the ones shown in 1-1 (Right). These amplifiers amplify the signal
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