EI8404 DSP PROCESSORS EI 8th (Eight) sem Electronics and Instrumentation(EI) Syllabus

EI8404 DSP PROCESSORS Syllabus

RGTU/RGPV  DSP PROCESSORS Syllabus

Electronics and Instrumentation EI VIII-8th Semester Syllabus

EI8404 DSP PROCESSORS Course Contents:

UNIT I :
An introduction to DSP Processors: Advantages of DSP ,characteristics of DSP systems ,classes of DSP applications.DSP processor embodiment and alternatives,Fixed Vs Floating point processors,fixed point and floating point data path.

UNIT II :
DSP Architecture : An intoduction to Harvard Architecture,Differentiation between Von-Neumann and Harvard Architecture,Quantization and finite word length effects,Bus structure ,Central Processing unit – ALU ,Accumulators ,Barrel shifters, MAC unit,compare ,select ,and store unit (CSSU) ,data addressing and program memory addressing

.UNIT III :
Memory architecture :Memory structures ,features for reducing memory access required ,wait states,external memory interfaces,memory mapping – dta memory,programmemory,I/O memory , memory mapped registers .Addressing: Various addressing modes –implied addressing,immediate data
addressing,memory direct addressing ,register direct and indirect addressing and short addressing modes. Instruction set : Instruction types , various types registers,orhogonality assembly language and
application development.

UNIT IV:
Execution Control and pipelining : Hardware looping , interrupts, stack , pipelining and performance, pipelining depth, interlocking , branching effects, interrupt effects, instruction pipelining,. Peripherals: Serial ports, timers, parallel ports, Bit input/output ports, Host ports, communication ports, on-chip A/D and D/A converters, external interrupts, on-chip debugging facilities, power consumption and management.

UNITV:
Processors:Architecture and instruction set of TMS320C3x, TMS320C5x, TMS320C6x,ADSP21xx DSP chips, some examples programs.Recent trends in DSP system Design: FPGA based DSP system design, advanced development tools for FPGA, development tool for programmable DSP’s- An introduction to Code composer studio.

References :
1.P.Lapsley, J. Bier,A.Shoham,E.A.lee:DSP processor fundamentals:Architectures and Features,IEEE Press series on signal processing,IEEE.
2. B venkataramani and M bhaskar: Digital signal Processors: Architectures, programming and applications,TMH.

EI 8403 Advance Industrial Electronics EI 8th (Eight) sem Electronics and Instrumentation(EI) Syllabus

EI 8403 Advance Industrial Electronics Syllabus

RGTU/RGPV  Advance Industrial Electronics Syllabus

Electronics and Instrumentation EI VIII-8th Semester Syllabus

EI 8403 Advance Industrial Electronics Course Contents:

Unit-I
Introduction to modern power conductor devices: Gate turn off thyristor (GTO), Insulated Gate Bipolar Junction Transistor (IGBT), Power BJT, Power MOSFET, MOS controlled thyristor (MCT), Reverse conducting thyristor (RCT), Smart Power Devices (Power ICs) Rating, Static and dynamic
characteristics, Safe operating areas, Protections of devices, Devices selection.

Unit-II
DC to DC conversion, Buck Boost and Buck Boost converters (Circuit Configuration and analysis with different types of loads) Power factor, Harmonics and effect of source inductance in converter circuits. Resonant DC, DC converters. Switched mode power supply (SMPS).

Unit-III
Concept of PWM in converters, Unity power factor converters, Voltage source inverters (VSI), Current source inverters (CSI). Application of VSI and CSI in induction motor control.

Unit-IV
Non Drive applications of power electronics inverters, Uninterrupted power supply (UPS), Induction heating, Metal cutting, Active power line conditioning.

Unit-V
Vector controlled and slip power controlled induction motor drives, Application of microprocessor, Micro controllers and DSP in Machine drives.

References :

• MH Rashid, Power Elex, PHI
• J.G. Kassakian, MF Schlecht and G.C. Verghese "Principle of Power Electronics", Reading, MA, Addison Wesley.
• Dubey G.K., " Power Semiconductor Controlled Drives", Engle Wood Cliffe NJ, Prentice Hall.
• DC Griffith, " Uninterruptible power supply", Marcell Dekker, NY.
• P. Vas, "Vector control of AC motors", Oxford Press.

EI 8402 Digital Image Processing EI 8th (Eight) sem Electronics and Instrumentation(EI) Syllabus

EI 8402 Digital Image Processing Syllabus

RGTU/RGPV Digital Image Processing Syllabus

Electronics and Instrumentation EI VIII-8th Semester Syllabus

EI 8402 Digital Image Processing Course Contents:

Unit-I
Digital Image Processing- Elements of a Digital Image Processing system, Structure of the Human eye, Image formation and contrast sensitivity, Sampling and Quantization, Neighbours of a pixel, Distance measures, Photographic file structure and exposure, Filem characteristics, Linear scanner, Video camera, Image processing applications.

Unit-II
Image Transforms-Introduction to Fourier transform-DFT, Properties of two dimensional FT, Separability, Translation, Periodicity, Rotation, Average value, FFT algorithm, Walsh transform, Hadamard transform, Discrete Cosine transform.

Unit-III
Image Enhancement- Definition, Spatial domain methods, Frequency domain methods, Histogram modify technique, Neighborhood averaging, Media filtering, Lowpass filtering, Averaging of multiple images, Image sharpening by differentiation and high pass filtering.

Unit-IV
Image Restoration-Definition, Degradation model, Discrete formulation, Circulant matrices, Block circulant matrices, Effect of diagnolization of circulant and block circulant matrices, Unconstrained and constrained restorations , Inverse filtering, Wiener filter, Restoration in spatial domain.

Unit-V
Image Encoding-Objective and subjective fidelity criteria, Basic encoding process, The mapping, The
quantizer, The coder, Differential encoding, Contour encoding, Run length encoding, Image encoding relative to fidelity criterion, Differential pulse code modulation.

References:

• Rafael, C. Gonzlez., and Paul, Wintz, “Digital Image Processing”, Addison-Wesley Publishing Company.
• Jain Anil K., “Fundamentals of Digital Image Processing”, Prentice Hall.
• Sosenfeld, and Kak, A.C., “Digital Image Processing”, Academic Press.
• William K. Pratt., “Digital Image Processing”, John Wiley and Sons.

EI 8401 Fuzzy Logic & Neural Networks EI 8th (Eight) sem Electronics and Instrumentation(EI) Syllabus

EI 8401 Fuzzy Logic & Neural Networks Syllabus

RGTU/RGPV  Fuzzy Logic & Neural Networks Syllabus

Electronics and Instrumentation EI VIII-8th Semester Syllabus

EI 8401 Fuzzy Logic & Neural Networks Course Contents:

Unit-I
Fuzzy system introduction, Fuzzy relation, Membership function, Fuzzy matrices and entropy, Fuzzy
operation and composition.

Unit-II
Fuzzy Variables, Linguistic variables, measures of fuzziness, concepts of defuzzification, Fuzzy control applications.

Unit-III
Fundamentals of Artificial Neural networks- Biological prototype – Artificial neuron, Activation functions, Single layer and multiplayer networks. Training Artificial neural networks, Preceptrons, Exclusive Or Problem – Linear seperability, Storage efficiency, Preceptron learning, perceptron training algorithms. Back propagation, Training algorithm, network configurations, Network paralysis, Local minima, temporal instability.

Unit-IV
Counter propagation networks, Kohonen layer, Training the kohonen layer, Pre processing the inputted
vectors, Initialising the wright vectors, Statistical properties, Training the grosberg layer. Full counter propagation networks, Applications. Statistical methods, Boltzman training, Cauchy training, Artificial specific heat methods, Applications to general non-linear optimization problems. Back propagation and cauchy training.

Unit-V
Hopfield nets, Recurrent networks, Stability, Associative memory, Thermodynamic systems, Statistical Hopfiled networks, Applications. Bi-directional associative memories, Retrieving on stored association, Encoding the associations.

References :
Laurence Fausett, “Fundamentals of Neural Networks”, Prentice Hall.
Zmmermann H.J., “Fuzzy Set Theory and its Applications”, Allied Publishers Ltd.
Klir G.J., and Folger T., “Fuzzy Sets, Uncertainty and Information”, Prentice Hall.
Limin Fu., “Neural Networks in Computer Intelligence”, McGraw Hill.
Zuroda J.M., “Introduction to Artificial Neural Systems”, Jaico Publishing.
Haykin S., "Artificial Neural Network: A Comprehensive Foundation: Asia Pearson Pub.

EI 8304 Nuclear Instrumentation EI 8th (Eight) sem Electronics and Instrumentation(EI) Syllabus

EI 8304 Nuclear Instrumentation Syllabus

RGTU/RGPV  Nuclear Instrumentation Syllabus

Electronics and Instrumentation EI VIII-8th Semester Syllabus

EI 8304 Nuclear Instrumentation Course Contents:

Unit-I
General Introduction to Properties of Nuclear Systems and Radiation, Interaction of radiation with matter, Radioactive sources-Choice of isotopes. Radiation detectors-Ionization chambers, Geiger-Muller counters, Scintillation counters, Semiconductor devices, Neutron detectors based on recoil, Measuring circuits including modulators, converters and stabilizers, Synchronous detectors. Counting Statistics, Correlation sets, Standard deviation of rate meters, Error propagation, Effect of background, Statistical distribution of pulse height distribution, Detector efficiency.

Unit-II : Nuclear Reactor Instrumentation
Diffusion, moderation, absorption and delay processes, Neutron flux measurement, Control rod calibration, Nuclear fuel inspection and testing including poisoning, Radiation energy measurement, Remote control instrumentation, Nuclear instrument maintenance.

Unit-III : Application to industrial System
Radioactive Tracer technique, Gas and Liquid flow measurement, Leak detection, Residence time and its distribution, application to blending corrosion and wear studiesThickness and density measurement by beta rays, Gammaray absorption technique, measurement of thickness of surface material by back
scattering.

Unit-IV
Level detection by radioactive devices, interface detection by neutron moderation technique. Measurement of gas pressure and gas analysers, Speceros-copic and frequency methods. Void detection, a idity meter, moisture meter, smoke detection, Ozonizer, Radiochromatography and interferometry.Portable instruments, Source activity for dynamic properties of instruments.

Unit-V Safety
Hazards of ionization radiation, physiological effect of radiation, Dose and Risk, Radiological protection (Plpha, beta and Gamma, X, Neutron), Shielding material and effectiveness. Operational safety instruments, emergency schemes, effluent disposal, Application to medical diagnosis and reatment.

References:
Ed. Noltingk, B.E., "Instrumentation Reference Book, Butterworth Heinemenn.
Boltan W., Newness, "Instrumentation and Measurement., Newness.
Jones, "Instrumentation Series",

EI 8303 Intelligent Instrumentation EI 8th (Eight) sem Electronics and Instrumentation(EI) Syllabus

EI 8303 Intelligent Instrumentation Syllabus

RGTU/RGPV  Intelligent Instrumentation Syllabus

Electronics and Instrumentation EI VIII-8th Semester Syllabus

EI 8303 Intelligent Instrumentation Course Contents:

Unit-I
Intelligent versus Dumb instruments, A historical perspective of instrumentation systems. Review of digital transducers. Interfacing micro computers. Computer ports to high power devices. Optical shaft encoder communication standards. Concepts of Real Time system and its application.

Unit-II
Details of Data Acquisition systems (DAS) Logic control systems, Continuous & Batch modes, Single and multi loop controller. Details of Data logger and its application.

Unit-III
Architecture of Virtual instrument and its relation to operating system. Software overview: LABVIEW, Graphical User Interface (GUI), Control and indicators: G programming- Data type, Data flow programming editing and running a virtual instrument.

Unit-IV
G Programming details in LABVIEW, G Programming tools and libraries. Programming structure: For loop, While loop. CASE structure, Sequence Structure arrays and clusters. Array operations- Bundle/Unbundled String and file I/O. High level and low level I/Os. Attribute nodes, Local and global variables.

Unit-V
Software development for Temperature (Low and High), Level, Speed, pressure etc.

References:
Barney G C, Intelligent Instrumentation : Micro processor application in measurement and control,
Prentice Hall, Engle Wood Cliff NJ.
H S Store, Micro Computer Interfacing, Addison Wesley, Reading, MA
Rathore T S, Digital Instrumentation, TMH
Interfacing sensors to the IBM PC, Prentice Hall, Engle Wood Cliff NJ.
Garry M. Johnson " LAB view Graphical Programming", TMH.
Lisa K. Wells "Labview for Every one, PHI.
Barry Paton, "Sensor, Transducers and Labview", Prentice Hall.