EX804 Industrial Project EX 8th (Eighth) sem Electrical & Electronics Engineering(EX) Syllabus

EX804 Industrial Project Syllabus

RGTU/RGPV  Industrial Project Syllabus

Electrical & Electronics Engineering(EX) VIII-8th Semester Syllabus

EX804 Industrial Project Course Contents:

Concept and guideline
Student will under take a small project which will pertain to live problems of Industry\ Community. The project may be related to use of technology in industry or transfer of technology to introduce value addition for agriculture, improving health & hygienic, energy management & conservation, optimal use of local resources or in the new product areas.

The student can undertake project singly or in a batch (of not more than five students). At the end of project student will submit a project report which will contain details of the problem identified and solution suggest for it.

EX803 Major Project EX 8th (Eight) sem Electrical & Electronics Engineering(EX) Syllabus

EX803 Major Project Syllabus

RGTU/RGPV  Major Project Syllabus

Electrical & Electronics Engineering(EX) VIII-8th Semester Syllabus

EX803 Major Project Course Contents:

COURSE GUIDELINES

• The objectives of the course ‘Major Project’ are
• To provide students with a comprehensive experience for applying the knowledge gained so far by studying various courses.
• To develop an inquiring aptitude and build confidence among students by working on solutions of small industrial problems.
• To give students an opportunity to do some thing creative and to assimilate real life work situation in institution.
• To adapt students for latest developments and to handle independently new situations.
• To develop good expressions power and presentation abilities in students.

The focus of the Major Project is on preparing a working system or some design or understanding of a complex system using system analysis tools and submit it the same in the form of a write-up i.e. detail project report. The student should select some real life problems for their project and maintain proper documentation of different stages of project such as need analysis, market analysis, concept evaluation, requirement specification, objectives, work plan, analysis, design, implementation and test plan. Each student is required to prepare a project report and present the same at the final examination with a demonstration of the working system (if any).

The faculty and student should work according to following schedule:
i) Each student undertakes substantial and individual project in an approved area of the subject and supervised by a member of staff.
ii) The student must submit outline and action plan for the project execution (time schedule) and the same be approved by the concerned faculty.
iii) At all the steps of the project, students must submit a written report of the same.

EX8403 Digital Image Processing EX 8th (Eighth) sem Electrical & Electronics Engineering(EX) Syllabus

EX8403 Digital Image Processing Syllabus

RGTU/RGPV  Digital Image Processing Syllabus

Electrical & Electronics Engineering(EX) VIII-8th Semester Syllabus

EX8403 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 modification 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.

Unit-VI
Image Analysis and Computer Vision- Typical computer vision system, Image analysis techniques, Spatial feature extraction, Amplitude and Histogram features, Transform features, Edge detection, Gradient operators, Boundary extraction, Edge linking, Boundary representation, Boundary matching, Shape representation.

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

EX8402 Digital Electronics & Logic Design-II EX 8th (Eighth) sem Electrical & Electronics Engineering(EX) Syllabus

EX8402 Digital Electronics & Logic Design-II Syllabus

RGTU/RGPV  Electronics & Logic Design-II Syllabus

Electrical & Electronics Engineering(EX) VIII-8th Semester Syllabus

EX8402 Digital Electronics & Logic Design-II Course Contents:

Unit I
Specification of sequential systems: Characterizing equation & definition of synchronous sequential machines. Realization of Floatable from verbal description, Mealy and Moore model machines state table and transition diagram. Minimization of the flow table of completely and incompletely specifies sequential machines

Unit II
High level description and specification of standard combinational & sequential modules and introduction to VHDL Programming. Concept of iterative arrays.

Unit III
Secondary state assignments in sequential machine; parallel & serial decomposition of equential machines. Introduction to asynchronous sequential machine, races and hazards. Information loss-less machine.

Unit IV
Algorithmic state machine and fundamental concept of hardware / firmware algorithms. Controllers and data system designing.

Unit V
Concept of PROM, PLE and FPLA. PALASM / XYLINGS software applications. Other PLD devices like EPLA, GAL, PHEEL, Mega PAL and Hard Array Logic.

Books :
1. Z. Kohavi “Switching & Finite Automata Theroy” TMH.
2. S. C. See “Digital Circuits and Logic Design” PHI,
3. M.K. Ercegovac & T. Lang, “Digital Systems and Hardware/Firmware Algorithms” John Wiley.
4. Stefan Sjoholm & Lennart Lind “VHDL for Designers” Prentice-Hall.
5. P.J. Ashenden “The Designers Guide to VHDL” Harcourt Asia PTE Ltd. M. Ercegovac et.al “ Introduction to Digital Systems”
6. M. Mano “Digital Design” John Wiley & Sons, PHI.
7. P.K. Lala “Digital System Design using Programmable logic Devices” BS Publication
8. K.L.Short “Microprocessors and Programmed Logic” PHI.
9. Z. Navatri “ VHDL Analysis & Modeling of Digital Systems” Mc-Graw Hill.

EX8401 SOFT COMPUTING TECHNIQUES AND APPLICATIONS EX 8th (Eighth) sem Electrical & Electronics Engineering(EX) Syllabus

EX8401 SOFT COMPUTING TECHNIQUES AND APPLICATIONS Syllabus

RGTU/RGPV SOFT COMPUTING TECHNIQUES AND APPLICATIONS

Electrical & Electronics Engineering(EX) VIII-8th Semester Syllabus

EX8401 SOFT COMPUTING TECHNIQUES AND APPLICATIONS Course Contents:

UNIT-1
Review of probability theory: Random variable, distribution functions , function of random variable. generation of random digit, and random variants from various distribution function, Monte Carlo simulation, sampling distributions station evolution using MCS, confidence interval, coefficient of variation.

UNIT-2
Evolution ANN, artificial neurons, activation functions, ge - rule, and back propagation rule of training, RBF and FLN network.

UNIT-3
Draw back of classical optimization techniques, genetic algorithm; binary and real parameter GA, constraints handling in GA.

UNIT-4
Evolution strategies(ES), two members non-recombinative ES, multi member ES, recombinative ES. Optimization based on swarm intelligence particle, swarm optimization and its variants .

UNIT-5
Application of soft computing techniques to problem of electrical engg. E.g. economic dispatch, reliable optimization, ANN traing using evolutionary algorithms.

References :
1. R.Y. Rubinstein Simulation and the Monte Carlo method, John Wiley & sons 1st Edition.
2 Paul. L. Mayer-Introducing probability and statical application, Addition Weslay.
3 Rajasekaran and pai- Neural Network, Fuzzy logic & Genetic Algorithms. PHI Learing
4 LiMin. Fu, Neural Networks in Computer Intelligence, 9th Reprint TMH
5 Multi objective optimization using evolutionary algorithm- Kalyanmoy Deb John Wiley & Sons Ltd.
6 Probability and Random processes for Electrical Engineering , Alberto Leon Garcia IInd Pearson .

7 Principles of soft computing- S N Shivanandan, S N Deepa Wiley India (P) Ltd, I edition 2007.
8 Hand book of genetic algorithm- Rajaserkharans, vijaya laxmi pai.
9 PSO Tutorial- Kennedy Ebuehart.
10 Sivanandam & Deepa- An Introduction to Neural Networks using Matlab 6.0 1st ed., TMH
11 M.Amirthavalli, Fuzzy logic and neural networks, Scitech publications.