Electrical and Electronics - Lingaya's University

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B.Tech. Electrical & Electronics Engineering (Regular)2. THE MATHEMATICS OF FUZZY CONTROL:Introduction of fuzzy sets; properties & operationson fuzzy sets; vagueness, fuzzy logic versusprobability theory, fuzzy relations & operations onfuzzy relations; the extension principle; fuzzypropositions; compositional rule of Inference;different implications; representing a set of rules.3. FKBS DESIGN PARAMETERS: The FKBCarchitecture; choice of variables & content of rules;derivation of rules; choice of membershipfunctions; choice of scaling factors; choice offuzzification procedure; choice of defuzzificationprocedure; comparison and evaluation ofdefuzzification methods.4. NONLINEAR FUZZY CONTROL: The ControlProblem; the FKBC as a Non-Linear TransferElement; Types of FKBC such as PID-like FKBC;Sliding Mode FKBC; Sugeno FKBC.5. ADAPTIVE FUZZY CONTROL: Design &Performance Evaluation; approaches to designsuch as membership function tuning using gradientdescent; membership function tuning usingperformance criteria; the self-organizing controller;model based controller.6. STABILITY OF FUZZY CONTROL SYSTEMS:The state space approach; Stability androbustness indices; input-output stability, circlecriterion, the conicity criterion.7. NEURO-FUZZY AND FUZZY NEURALCONTROLLERS: NEURO–FUZZY SYSTEMS: Anunified approximate reasoning approach –Construction of rule bases by self learning; systemstructure and learning algorithm; a hybrid neuralnetwork based Fuzzy controller with self learningteacher.TEXT BOOKDriankov D, Hellendoorn H. and Reinfran M., ―Anintroduction to fuzzy Control‖, Narosa PublicationREFERENCE BOOKS1. Kandel Abraham and Imngholz Gideon, ―FuzzyControl systems‖, Narosa Publication.2. Rajasekaran, S. & Pai, C. A. Vijayalakshmi,―Neural Networks, Fuzzy Logic, Genetic AlgorithmsSynthesis & Applications‖, Prentice Hall of India,2008.EE-442NON-CONVENTIONALENERGY SOURCESL T P Cr5 0 0 3OBJECTIVEIt is a well known fact that fossil fuels (coal, oil, naturalgas) in the world are depleting very fast and eventuallyman will have to increasingly depend upon nonconventionalsources of energy (solar-thermal systems,biogas, PV cells, wind energy etc.). Non-conventionalsources of energy is one of the areas of emergingtechnologies which have higher priority with referenceto national needs. The contents of this subject giveconcise description of some important nonconventionalsources of energy.1. INTRODUCTION: Global and National EnergyScenarios; concept of energy services; patterns ofenergy supply; energy resource availability;cultural, economic, and national security aspects ofenergy consumption. Forms and Characteristics ofRenewable energy sources Energy Classification;Sources and Utilization, thermodynamic PowerCycles and Binary Cycles.2. SOLAR THERMAL ENERGY: Solar radiation; flatplate collectors & their materials; effect of designparameters on performance; laws of thermalradiation; performance analysis of liquid flat platecollector; solar concentrating collectors;thermodynamic limits to concentration; solarthermal energy storage.3. SOLAR PHOTOVOLTAIC SYSTEM: Photonenergy; photo voltaic effect; efficiency of solar cell;limits to cell efficiency; semi-conductor materialsfor solar cells; solar photovoltaic system (SPS);standards for SPS; applications of PV system;solar photo voltaic in India.4. WIND ENERGY: Basic principles of wind energyconversion; wind data and energy estimation; siteselection considerations; basic components of aWind Energy Conversion System (WECS);advantages of WECS; types of wind machines;performance of wind machines; applications ofwind energy.5. BIOMASS ENERGY: Biomass resources; liquid fuel(ethonal); biomass conversion technologies; bichemicalconversion; biomass gasification; bio-gas;biogas plants; energy recovery from urban waste.6. GEO-THERMAL ENERGY: Resources ofgeothermal energy; thermodynamics of geothermalenergy conversion – electrical conversionand non-electrical conversion; environmentalconsideration.7. MAGNETO – HYDRODYNAMICS (MHD):Principle of working of MHD power plant,performance and limitations.TEXT BOOKKothari, D.P., Singal, K.C., Ranjan Rakesh., ―RenewableEnergy Sources and Emerging Technologies‖, PrenticeHall of India (Eastern Economy Ed., 2008.REFERENCE BOOKS1. Rai, G.D., ―Non-Conventional Sources of Energy‖,Khanna Publishers, 4 th Edtion / 9 th reprint 2001.2. Begamudre, Rakosh Das, ―Energy ConversionSystems‖, New Age International Publishers, 2000.3. Singal, R. K. Non-Conventional EnergyResources‖, S. K. Kataria & Sons, 2005.EE-443ARTIFICIAL INTELLIGENCE& ROBOTICSL T P Cr5 0 0 3OBJECTIVEThe basics of Artificial Intelligence (AI) viz, searchprocess, logic, knowledge representation and nonmonotonicreasoning systems are included in thecourse. The topics of expert systems, knowledgeengineering and ANN are designed to enable thestudents to make them familiar the applications of AI.1. INTRODUCTION TO AI: Definition of Intelligence;Features of Intelligence; Difference between AI &human intelligence; AI problems; Characteristics ofAI problems.24
Lingaya’s University, Faridabad2. AI PROBLEMS, PROBLEMS SPACES ANDSEARCH: Defining the problem as a state spacesearch; Problem characteristics; Productionsystem and its characteristics; heuristic searchtechnique – Hill climbing; Best-first Search;Constraint Satisfactions; Means end analysis.3. STRUCTURES AND STRATEGIES FOR STATESPACE SEARCH: Introduction; Graph Theory;Strategies for stable space search; Control andImplementation of state space search – RecursionBased Search, Pattern – Directed search.4. KNOWLEDGE REPRESENTATION: Significance& issues in knowledge representation; Approachesto knowledge representation–Predicate logic;Semantic Net and Frame based representation.5. EXPERT SYSTEM: Definition; Characteristics;Architecture and description of modules applicationareas; Software Tools used in expert System.6. REASONING UNDER UNCERTAINTY: Fuzzylogic in Bayesian Networks; Dumpster-ShaferTheory as a tool for handling Uncertainty andprobabilistic reasoning.7. INTRODUCTION TO ANN: Overview of ANN –Characteristic Features of ANN; Artificial NeuronModels; Basic Building Blacks of ANN; NetworkArchitecture Learning in Neural NetworksApplication of ANN.TEXT BOOKJanakiraman, V. S., Sarvkesik, Gopalakrishanan P.,―Artificial Intelligence and Expert Systems‖, MackMillan, India, 2001.REFERENCE BOOKS:1. Luger, F., George., ―Artificial Intelligence‖, PearsonEducation.2. Russell Stuart, Narving Peter, ―Artificial Intelligencea Modern Approach‖, 2 nd Edition, PHI, 2004.EE-444DIGITAL IMAGEPROCESSINGL T P Cr5 0 0 3OBJECTIVEThe field of digital image processing generally requiressimulation and testing with large sets of sampleimages. The course contents are designed to enablethe students to make them familiar with basics of imageprocessing algorithms using modern tools. Themathematical analysis in image processing is alsoprovided1. INTRODUCTION: Digital image; Steps of digitalimage processing system; Elements of visualperception; connectivity and relations betweenpixels; Image sampling and quantization;Representing Digital Image.2. IMAGE TRANSFORMS: 2D orthogonal andunitary transforms-properties and examples. 2DDFT; FFT; DCT; Hadamard transform; HaarTransform; Slant transform; KL Transformpropertiesand examples.3. IMAGE ENHANCEMENT: Point processing;Spatial filtering-in space and frequency; Nonlinearfiltering; Color image processing fundamentals.4. IMAGE RESTORATION: Image observation anddegradation model; Circulant and block circulantmatrices and its application in degradation model;Algebraic approach to restoration; Inverse byWiener filtering; Generalized inverse-SVD anditerative methods; Blind deconvolution; Imagereconstruction form projections.5. IMAGE COMPRESSION: Redundancy andcompression models loss less and lossy.6. IMAGE SEGMENTATION: Edge detection; Linedetection; curve detection; Edge linking andboundary extraction; boundary representation;region representation and segmentation;morphology-dilation; Erosion; Opening andclosing.7. IMAGE UNDERSTANDING AND RECOGNITION:Matching by templates; Classifiers-models;statistical; Neural network based; Matching shapesby contour and texture.TEXT BOOKJain A. K., ―Fundamental of Digital Image Processing‖Prentice Hall of India, 1995.REFERENCE BOOKS1. Pratt K. William, ―Digital Image Processing‖, JohnWilley, 2001.2. Sonka Millman, hlavac Vaclav, Learniy ―ImageProcessing Analysis and Machine Vision‖, (1999).3. Magundar Dutta Chanda, ―Digital ImageProcessing and Applications‖, Prentice Hall ofIndia.EE-451PROGRAMMABLE LOGICCONTROLLERS & SCADALABL T PCr0 0 2 1LIST OF EXPERIMENTS1. Familiarization with architecture & operation of 8bit microcontroller2. Study of functioning of different components ofPLC in hardware.3. To Interface the PLC with computer by using RS -232.4. To study the PLC software.5. Write a ladder program in PLC software for basicstop/start circuit6. Write a ladder program in PLC software by using 5digital inputs & one digital output & verify it byapplying it on hardware.7. Write a ladder program by using 4 digital inputs &one timer in series for a delay of 10 min. in output.8. Write a ladder program by using counterComponent.9. Write ladder program in PLC software by using twotimers in cascade.10. Make a project by using PLC software andimplement it on hardware.EE-452DEPARTMENT LABL T P Cr0 0 2 1OBJECTIVETo provide an opportunity to the students to take upexperiments/programs/exercises that would helpstrengthen their knowledge in the discipline in abroader sense.25
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