REMOTE SENSING AND WIRELESS SENSOR NETWORKS ...

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M.TECH- REMOTE SENSING AND WIRELESS SENSOR NETWORKS

Centre for Excellence in Computational Engineering and Networking

Earth observation from space has provided mankind and its decision makers with new global

perspective of its environment. Protection of the environment will certainly be one of the greatest

challenges in the 21st century. Remote sensing data gathered from air borne and space borne

sensor systems are one of the starting points for preparing tools for gaining a better

understanding of its complex interactions between the atmosphere, oceans, ice regions and land

surfaces on one hand and the population with its various activities on the other hand. Recent

developments in sensor technology coupled with wireless network technology have given a new

dimension to the word ‘remote sensing’. Remote sensing by deployment of thousands of sensors

in fields to gather data for remote monitoring, control or other decision making process can now

be put under the purview of remote sensing. There are immense possibilities for integrating data

obtained from satellite based sensing and ground based measurements using cheap sensors

deployed in the field. This course aims at developing manpower in this highly interdisciplinary

area. The forecast for such manpower requirements is large and fall short of the current

requirements. Remote sensing and wireless sensor networks as a scientific discipline, depends on

field measurements, computer vision, adhoc wireless networks, analysis and cognition systems.

It has great strategic importance from the point of view of defense, natural calamities, space

exploration and non-destructive testing. It is also applied in agriculture, marine and geological

explorations, weaponry, transportation and health monitoring of machines, structures and

livestock.

The basic course starts with a strong foundation in mathematics. It is strengthened by courses in

remote sensing, image processing, pattern recognition and specific courses on sensor technology,

wireless networking and geographical information systems.

Electives offered, to additionally gain insight into optics are microwave engineering and topics

like animal vision systems. They also include some powerful mathematical tools like level set,

computational electromagnetic and measurement techniques.

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CURRICULUM

First Semester

Course

Code

Type Course L T P Credits

MA607 FC Linear Algebra 3 0 1 4

RW621 SC Image Processing Methods for Remote Sensing 2 0 1 3

CN613 FC Computational Optimization Theory - Linear and Non-

Linear Methods

3 0 1 4

CN614 FC Advanced Data Structures and Algorithms 3 0 1 4

RW622 SC Principles of Remote Sensing 2 0 1 3

CN615 FC Computational Thinking – I* 0 0 0 0

HU601 HU Cultural Education* P/F

Credits 18

*Non-Credit Course

Second Semester

Course

Code


CN621 SC Signal Processing and Pattern Classification Lab 0 0 3 3

RW611 FC Wireless Communication and Sensor Networks 2 0 1 3

RW623 SC Measurement Techniques in Remote Sensing 3 0 0 3

RW624 SC Geographical Information Systems and Global

Positioning Systems: Principles and Applications

3 0 0 3

E Elective I 3 0 0 3

E Elective II 3 0 0 3

EN600 HU Technical Writing* P/F

Credits 18

*Non Credit Course

Third Semester

Course

Code


E Elective III 3 0 0 3

E Elective IV 3 0 0 3

RW799 P Dissertation 6

Credits 12

Fourth Semester

Course

Code Type Course L T P Credits

RW799 P Dissertation 16

Credits 16

Total Credits: 64

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List of Courses

Foundation Core

Course

Code Course L T P Credits

MA607 Linear Algebra 3 0 1 4

CN613 Computational Optimization Theory - Linear and Non-

Linear Methods

3 0 1 4

CN614 Advanced Data Structures and Algorithms 3 0 1 4

RW611 Wireless Communication and Sensor Networks 2 0 1 3

Subject Core

Course


RW621 Image Processing Methods for Remote Sensing 2 0 1 3

RW622 Principles of Remote Sensing 2 0 1 3

RW623 Measurement Techniques in Remote Sensing 3 0 0 3

RW624 Geographical Information Systems and Global Positioning

Systems: Principles and Applications

3 0 0 3

CN621 Signal Processing and Pattern Classification Lab 0 0 3 3

Electives

Course


RW701 Satellite Remote Sensing Astrodynamics 3 0 0 3

RW702 Adaptive Digital Signal Processing Using FPGA 3 0 0 3

RW703 Hyperspectral Imaging Systems 3 0 0 3

RW704 Biochemical Sensors and Applications 3 0 0 3

RW705 Signal Processing and Optimization for Transceiver

Systems

3 0 0 3

RW706 Compressed Sensing for Communication and Radar

Systems

3 0 0 3

RW707 Wavelet Radio 3 0 0 3

CN731 Data Mining and Machine Learning 3 0 0 3

CN732 SVM and Kernel Methods 3 0 0 3

CN733 NN and Deep Learning 3 0 0 3

CN734 HPC and Big Data Analytics 3 0 0 3

CN735 Distributed Computing and Big Data: Hadoop and

MapReduce

3 0 0 3

CN736 Text Analytics 3 0 0 3

CN737 Social Network Data Analytics 3 0 0 3

CN738 Sparse Signal Processing and Compressed Sensing 3 0 0 3

CN739 Advanced Signal Processing 3 0 0 3

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RW712 Signal Processing for Wireless Communication 3 0 0 3

RW713 DSP Algorithms and Architectures 3 0 0 3

RW714 Software Defined Networks 3 0 0 3

RW715 Silicone and Urethane Mold Making 3 0 0 3

RW716 Resin and Foam Casting 3 0 0 3

CN750 Fundamentals of Robotic Systems 3 0 0 3

CN751 Microcontroller and Its Applications in Robotics 3 0 0 3

CN752 Drives and Control Systems for Robotics 3 0 0 3

CN753 Computer Aided Design and Manufacturing 3 0 0 3

CN754 Kinematics and Dynamics of Robots 3 0 0 3

CN755 Robot Programming 3 0 0 3

CN756 Robot Vision 3 0 0 3

CN757 Robotic Simulation 3 0 0 3

CN758 Robotic Sensors 3 0 0 3

CN759 Finite Element Analysis 3 0 0 3

RW717 Practical GIS 3 0 0 3

RW718 Vehicular Communication, Navigation and Control 3 0 0 3

RW719 Radar Systems 3 0 0 3

RW720 Microwave Remote Sensing 3 0 0 3

RW721 LIDAR 3 0 0 3

RW722 Gravitational Wave Remote Sensing 3 0 0 3

RW723 Acoustic Remote Sensing 3 0 0 3

RW724 Remote Sensing Using Magnetic Fields 3 0 0 3

RW725 RF Antenna Systems 3 0 0 3

RW726 Geospatial Intelligence 3 0 0 3

RW727 Geoanalytics 3 0 0 3

RW728 Deep Space Remote Sensing 3 0 0 3

RW729 Software Defined Radio 3 0 0 3

MA709 Probability and Graphical Models 3 0 0 3

RW730 Principles of Communication Engineering 3 0 0 3

RW731 Biomedical Imaging 3 0 0 3

RW732 Wireless Communication 3 0 0 3

CN727 Advanced GPU Computing for Imaging and Vision 3 0 0 3

Project Work

Course


RW799 Dissertation 6

RW799 Dissertation 16

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MA607 LINEAR ALGEBRA 3-0-1-4

Matrices and Gaussian Elimination – Introduction, Geometry of Linear Equations, Gaussian

Elimination, Matrix multiplication, inverses and transposes, special matrices and applications.

Vector spaces and Linear equations – Vector spaces and subspaces, linear independence, basis

and dimension, the four fundamental subspaces. Orthogonality - Perpendicular vectors and

orthogonal subspaces, inner products and projections onto lines, projections and least square

applications, orthogonal basis, orthogonal spaces, orthogonal matrices, Gram Schmidt

orthogonalization, FFT, Eigenvalues and Eigenvectors – Introduction, diagonal form of a matrix,

difference equations and the powers of A^k, Positive Definite Matrices - Minima, Maxima and

saddle points, tests for positive definiteness, semi-definite and indefinite matrices, Singular

Value Decomposition, iterative methods for Ax = b, applications in sparse signal and image

processing.

TEXTBOOKS/ REFERENCES:

1. Gilbert Strang, Linear Algebra and its Applications, Third Edition, Harcourt College

Publishers, 1988.

2. Gene H. Golub and V. Van Loan, Matrix Computations, Third Edition, John Hopkins

University Press, Baltimore, 1996.

3. David C. Lay, Linear Algebra and Its Applications, Pearson Addison Wesley, 2002.

RW621 IMAGE PROCESSING METHODS FOR REMOTE SENSING 2-0-1-3

Partial differential equation-Basic concepts and definitions, applications-conduction of heat in a

rod, boundary conditions, Vibration of a rectangular membrane, Helmholtz equation, vibrating

circular membrane, Calculus of variation-Euler lagrange equation-Definition of a functional,

First variation, Essential and natural boundary conditions, Second variation, Functional

derivative,- Solution of Euler Lagrange-Discretizing schemes, Application in signal image

processing - Denoising, Deblurring, Inpainting,Non linear Diffusion, Segmentation


1. Keonwook Kang,Chris Weinberger and Wei Cai, A short Essay on Variational Calculus,

Available from: http://micro.stanford.edu/~caiwei/Forum/2006-05-03- VarCalc/vari

_calculus_v04.pdf, 2006

2. K.P Soman and Ramanathan, Digital Signal and Image Processing-The Sparse Way,

Wiley Publishers, 2011

CN613 COMPUTATIONAL OPTIMIZATION THEORY - LINEAR AND 3-0-1-4

NON-LINEAR METHODS

Introduction - mathematical optimization, least-squares and linear programming, convex and

nonlinear optimization. , Convex optimization problems - optimization problem in standard

form, convex optimization problems, quasi-convex optimization, linear optimization, quadratic

optimization, generalized inequality constraints, semi definite programming, vector optimization.

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Duality, Approximation and fitting, Statistical estimation, Geometric problems, Unconstrained

minimization- gradient descent method, steepest descent method, Newton's method. Equality

constrained minimization - equality constrained minimization, eliminating equality constraints,

Newton's method with equality constraints, infeasible start Newton method, implementation.

Interior-point methods -inequality constrained minimization, logarithmic barrier function and

central path, barrier method, L1 Norm Optimization methods, Applications in Signal and Image

Processing.

TEXTBOOKS/REFERENCES:

1. Stephen Boyd and LievenVandenberghe, Convex Optimization, Cambridge University

Press, 2000.

CN614 ADVANCED DATA STRUCTURES AND ALGORITHMS 3-0-1-4

Introduction: Basic concepts of object-oriented programming - Abstract Data types - List -

Implementation - Arrays - Cursors, Pointers. Basic data structures: Stack, Queue -

Implementation - Applications. Trees - Traversals - General - Binary - Expression Search Tree -

AVL Trees - Splay Trees - B trees. Advanced Data Structures: Set - Basic operations - Advanced

Set representations - Priority Queue - Applications - Graphs - Traversals -Representation.

Memory Management: Issues - Storage allocation - Dynamic - Compaction, Garbage collection -

Buddy systems Algorithm Analysis And Design: Algorithm Analysis - Sorting - Searching.

Design Techniques - Divide & Conquer - Greedy – Dynamic Programming - Backtracking -

Branch and Bound Knapsack - Traveling Salesman Problem - Graph coloring- 8 Queens

Problem.

TEXTBOOKS / REFERENCES:

1. Aho, Hopcroft and Ullman, Data Structure and Algorithms, Addison Wesley Pub.

Company, 1985.

2. Sara Baase, Computer Algorithms - Introduction to Design and Analysis, Addison

Wesley, 1988.

3. Sahni, Data Structures, Algorithms and Applications in Java, McGraw Hill, 2000.

RW622 PRINCIPLES OF REMOTE SENSING 2-0-1-3

Introduction to Remote Sensing Science and Technology: Principles of Remote sensing.

Electromagnetic Radiation (EMR).Spectral quantities, Spectral signatures and characteristics,

spectral reflectance curves. Remote Sensing observations and platforms: Air borne and space

borne platforms. Aerial Stereocoverage andRemote Sensing Satellites.RSS Sensors:aerial

photography, single and multi band scanners. LANDSAT 6/7/8, SPOT, IKONOS, IRS andERS,

Quick bird.Geographic Information System (GIS): Introduction, the essential elements of a GIS,

GIS definition and terminology, GIS categories, Components of GIS Fundamental Operations of

GIS, A theoretical framework for GIS. The Essential Elements of a GIS: An overview,

Functional Elements, Data in a GIS, Data Structure Raster Data Structures, Vector Data

Structures, Comparisons between Data Structures. Data Acquisition and Data input, Data

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Management: Basic Principles of Data Management; Efficiency, Conventional Database

Management systems, Spatial database Management Product Generation: Types of output

products, hardware components. Integrated Analysis of Spectral and Attribute data. Data

Quality: introduction, Components of data quality, Sources of error. Introduction to GPS.Data

and imagery products:Measurement Techniquesin GIS mapping,manufacturing, quality control,

robotics, navigation, mobile mapping, VR generationand animation. Data Products

Specifications in SatRS.


1. Anji Reddy M., Remote Sensing and GIS, The Book Syndicate, Hyderabad, 2000.

2. P.A.Burrough and R. A. McDonnell, Principles of Geographical Information Systems,

Oxford, 1998.

3. Rao D.P., Remote Sensing for Earth Resource, AEG Publication, Hyderabad, 1987.

4. Kang Tsung Chang, Geographic Information Systems, Tata McGraw Hill Publication,

2002.

5. Chandra A.M. and GoshS.K., Remote Sensing and GIS, Narosa Publishing House,

2007.

6. Debashis Chakraborthy and Rabi N.Sahoo, Fundamentals of Geographic Information

Systems, Viva Books Pvt. Ltd., 2007.

CN615 COMPUTATIONAL THINKING -I 0-0-0-0

Based on the latest research papers.

CN621 SIGNAL PROCESSING AND PATTERN CLASSIFICATION LAB 0-0-3-3

Digital Image Fundamentals:Digital Communication System and Filter Banks – Discrete Time

Representation – Classical Transceiver Techniques – Channel Capacity – Channel Equalization

with Transmitter Redundancy - The Lazy Precoder with a Zero forcing Equalizer – Single I/O

and Single O/P Transceiver – Optimal Transceiver for Diagonal Channels – MMSE Transceiver

with Zero forcing Equalizer - MMSE Transceiver without Zero forcing Equalizer – Bit allocation

and power minimization – Minimisation of Error probability in Transceiver – Transceiver with

Orthonormal Precoders Pattern Classification: Levelset based methods, Kernel based methods,

Wavelet and Multifractals Applications


1. P.P.Vaidyanathan , See – May Phoong and Yuan – Pei Lin , Signal Processing and

Optimization for Transceiver System ”,Cambridge University Press , 2010

2. Dr.K.P.Soman , K.I.Ramachandran and N.G.Resmi, Insight into Wavelets from Theory

to Practice , Third Edition , PHI Learning Private Limited, 2010

3. Dr.K.P.Soman, R.Loganathan and V.Ajay , Machine Learning with SVM and other

Kernel Methods , PHI Learning Private Limited, 2011

4. Dr.K.P.Soman and R.Ramanathan, Digital Signal and Image Processing - The Sparse

Way, ISA Publishers, 2012

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RW611 WIRELESS COMMUNICATION AND SENSOR NETWORKS 2-0-1-3

Overview of Wireless Communication – Wireless Channel – Physical Modeling of Wireless

Channel – Path loss and Shadowing – Statistical Multipath Channel – Capacity of Wireless

Channels – AWGN Channel Capacity – Capacity of Fading Channels

Point –to-Point Communication – Detection – Diversity – Equalization - Channel Uncertainty –

MIMO – Spatial Multiplexing and Channel Modeling – Capacity and Multiplexing Architectures

– Diversity – Multiplexing Tradeoff – Universal Space Time Codes

Multicarrier Modulation – Cellular Systems and Interference Management – Multiuser Systems

– Capacity and Opportunistic Communication – MIMO Multiuser – Ad-hoc Wireless Networks


1. David Tse and Pramod Viswanath ,Fundamentals of Wireless Communication,

Cambridge University Press, 2005.

2. Andrea Goldsmith, Wireless Communication, Cambridge University Press, 2005.

3. Theodre.S.Rapapport, Wireless Communications-Principles and Practice, Second

Edition, Prentice Hall Inc., 2008.

RW623 MEASUREMENT TECHNIQUES IN REMOTE SENSING 3-0-0-3

Broadband thermal measurements – emissivity from the sun and planetary surface heat

conduction theory, effects of periodic heating, surface heating by the sun, effects of surface

cover, concept of thermal inertia, thermal conductivity, heat capacity, density, diurnal

temperature variations, time-temperature curves, Multispectral thermal infrared measurements -

concept of responsivity, noise equivalent irradiance and detectivity, concept of noise equivalent

temperature atmospheric windows and atmospheric effects. RSS Sensor systems, Instrumented

aircraft, Nautical-Remote Sensing-- Hydrography and Bathymetry, Unmanned Deep-Sea Robotic

Vehicles, RS Satellite astrodynamics – Orbital mechanics –Ground trace–Orbital perturbations –

Referenceframes –Mission simulations software – Navigation and tracking–Link equation –RSS

structural design– RSS constellations.


1. Herbert J. Kramer, Observation of the Earth and Its Environment, Survey of Missions and Sensors, Second Edition, Springer-Verlag, 1994.

2. Gunter Seeber, Satellite Geodesy, Revised Edition,Walter de Gruyter, September 2003.

3. John D. Bossler, Manual of Geospatial Science and Technology, Second Edition

(Hardcover), CRC, 2010.

4. JianGuo Liu and Philippa Mason, Essential Image Processing and GIS for Remote

Sensing, First Edition, Wiley, 2009.

5. David A.Vallado, Fundamentals of Astrodynamics and Applications, Second Edition,

Microcosm Inc, 2001.

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RW624 GEOGRAPHICAL INFORMATION SYSTEMS AND GLOBAL 3-0-0-3

POSITIONING SYSTEMS: PRINCIPLES AND APPLICATIONS

Remote sensing Data Types-digital analogue-drainage pattern-erosionland depositional land

forms-floodplain mapping-coastal land forms-glacial land forms.Hazards-earthquake and

volcanoes – landslide -forest fire –oil spill. Land use /Land cover: concepts-classification:-

Landusemapping-land evaluation.Agriculture:crop assessment,disease detection, forestry:types –

species identification and diseases detection.Soils:Soil mapping-Soil moisture- soil erosion –

reservoir station-soil salinity-soil conservation.Water resources- water quality monitoring and

mapping-water pollution,identification ground water potential and recharge areas-integrated

watershed development. GIS application- Fundamentals of GIS-layers and themes-modeling-

weighing-specific applications-infrastructure. Application to agriculture-water management –

database creation- networking of data, Map scaling.Application of GIS in environment-damage

assessment- Coastal and marine applications.ESA, ISRO, and NASARS: mapping, navigation,

and current and future missions for earth, solar system planets and satellites. Shuttle Radar

Topography Mission, Uninhabited Aerial Vehicle, Industry Standard Software in GIS/RS: Arc

GIS, ERDAS, ILWIS, QGIS, ENVI.


1. Lilles and Keifer, Remote Sensing and Image Interpretation, John Wiley and Sons,

New York, 2004.

2. George Joseph , Fundamentals of Remote Sensing, Universities Press(India)Ltd,

Hyderabad, 2003.

3. Deren Li, Jie Shan and Jianya Gong, Geospatial Technology for Earth Observation,

Springer, 2009.

4. Scott Gleason and DemozGebre-Egiabher, GNSS Applications and Methods, Artech

House Publishers, 2009.

EN600 TECHNICAL WRITING P/F

Technical terms- Definitions- extended definitions- grammar checks- error detection-

punctuation- spelling and number rules - tone and style- pre-writing techniques - Online and

offline library resources- citing references – plagiarism - Graphical representation -

documentation styles- instruction manuals- information brochures- research papers, proposals

– reports (dissertation, project reports etc.) - Oral presentations.


1. Hirish and Herbert L., Essential Communication Strategies for Scientists, Engineers and

Technology Professionals, Second Edition. New York: IEEE press, 2002.

2. Anderson and Paul V., Technical Communication: A Reader-Centered Approach,

Sixth Edition. Cengage Learning India Pvt. Ltd., New Delhi, Reprint, 2010.

3. Strunk, William Jr. and White, E.B., The Elements of Style, New York. Alliyan & Bacon,

1999.

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RW701 SATELLITE REMOTE SENSING ASTRODYNAMICS 3-0-0-3

Orbital mechanics – Orbital elements – Ground trace – Remote sensing satellite (RSS)

classification based on orbits and purpose – Two-line element (TLE) – Sun-synchronous orbit

(SSO) – Orbital perturbations – Multi-SSO – Space environment – Atmospheric density models

– Attitude determination and control system (ADCS) – ADCS sensors – Reference frames –

Ephemeris – Orbital lifetime and decay – Ballistic coefficients – RSS classifications based on

mission requirements – Performance parameters – Navigation and tracking – Beta angle – GPS

& Autonomous navigation/control – Communications – Link equation – Hardware – Central

processing – RSS structural design – RSS constellations – Mission simulations software –

Orbital parameter estimation using cloud computing

TEXTBOOKS / REFERENCES:

1. David A. Vallado, Fundamentals of Astrodynamics and Applications, Third Edition,

Microcosm Press Inc., 2007.

2. Rainer Sandau, Hans-Peter Roeser and Arnoldo Valenzuela (Ed.), Small Satellite

Missions for Earth Observation: New Developments and Trends, First Edition, Springer,

2010

3. Frank M. Flechtner, MioaraMandea, Thomas Gruber, Markus Rothacher, Jens Wickert,

Andreas Günter and TiloSchöne (Ed.), System Earth via Geodetic-Geophysical Space

Techniques (Advanced Technologies in Earth Sciences), First Edition, Springer, 2010

4. Herbert J. Kramer, Observation of the Earth and Its Environment: Survey of Missions and

Sensors, Second Edition, Springer-Verlag, 1994

RW702 ADAPTIVE DIGITAL SIGNAL PROCESSING USING FPGA 3-0-0-3

Introduction - Overview of DSP - FPGA Technology-DSP Technology Requirements - Design

Implementation-Computer Arithmetic – Introduction- Number Representation - Binary Adders-

Binary Multipliers - Binary Dividers - Floating-Point Arithmetic Implementation-Multiply-

Accumulatorand SOP Computation of Special Functions Using CORDIC-Computation of

Special Functions using MAC Calls.Fourier Transforms –DFT Algorithms- FFT Algorithms-

Fourier-Related Transforms –FIR Digital Filters - Digital Filters-FIR Theory- Designing FIR

Filters - Constant Coefficient FIR Design -Comparison of DA- and RAG-Based FIR Filters –IIR

Digital Filters- IIR Theory - IIR Coefficient Computation - IIR Filter Implementation - Fast IIR

Filter - Multirate Signal Processing -Decimation and Interpolation - Polyphase Decomposition -

Hogenauer CIC Filters - Multistage Decimator -Frequency-Sampling Filters as Bandpass

Decimators - Design of Arbitrary Sampling Rate Converters- Filter Banks - Wavelets

Advanced Topics-Rectangular and Number Theoretic Transforms-Error Control and

Cryptography-Modulation and Demodulation-Adaptive Filters-Optimum Estimation Techniques-

The Widrow-Hoff LMSAlgorithm-Transform Domain LMS Algorithms-Recursive LS

Algorithms-Comparison of LMS and RLS Parameters-Microprocessor Design, GPU

Architecture and High Performance computing.

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1. Uwe Meyer-Baese, Digital Signal Processing with Field Programmable Gate Arrays,

Third Edition, Springer, 2008

RW703 HYPERSPECTRAL IMAGING SYSTEMS 3-0-0-3

Introduction to Remote Sensing: Multi-Spectral Imagery(MSI) - Hyperspectral Imagery (HSI) -

Scientific Principles: Physics of Imaging Spectroscopy - Electromagnetic propogation - Sensor

Physics - Atmospheric Corrections - Hyperspectral Concepts and System Tradeoffs: Signal-to-

Noise ratio (SNR) - Spectral Resoultion–Sampling – Range – Dispersion Techniques – Data

Collection Systems – Current HIS Systems: Ground – Airborne – Spaceborne – Calibration

techniques – HSI Data Processing Software – HIS Data Processing Techniques: Image Space –

Spectral Space - Feature Space, Spectral Angle Mapping - N-Dimensional Scatterplots -

Projection Pursuit – Spectral Mixture Analysis – Principal Component Analysis (PCA) –

Spectral Mapping –Pixel Purity Index (PPI) – Minimum Noise Fraction (MNF) – Mixture

Tuned Matched Filtering (MTMF) – Classification Techniques: Supervised – Unsupervised –

Hybrid.


1. Chein-I-Chang, Hyperspectra Techniques for Spectral Detection and Classification

Graphics and General-Purpose Computation, Kluwer Academic Publishers, 2003.

RW704 BIOCHEMICAL SENSORS AND APPLICATIONS 3-0-0-3

Chemical Sensors – Characteristics, Components, Characterization; Chemical Principles of

Sensing: Equilibrium, Kinetics and Catalysis, Biochemical Reactions, Adsorption, Redox

Systems; Electrochemistry; Physical Principles of Sensing: Structure of Solids, Ionic and

Electronic Conduction, Transistor Types, Optical Phenomena, Piezo and Pyroelectricity; Sensor

Fabrication: Thick and Thin Film Technology, Patterning and Deposition Procedures, Surface

Modification, Microsystems Technology; Measurements with Sensors – Electronics, Electrical

Measurements, Optical Instruments. Sensor Design: Mass-Sensitive Sensors, Conductivity and

Capacitive Sensors, Thermometric and Calorimetric Sensors, Electrochemical Sensors:

Potentiometric and Amperometric Sensors, Selectivity and Specificity, Ion-Selective Electrodes,

Ion-Selective FET, Electrochemical Biosensors, Optical Sensors: Optical Fibers, Fiber Sensors

without and with Chemical Receptors, Optodes with Simple and Complex Receptor Layers,

Optical Biosensors, Sensor Systems with Integrated Optics. Sensor Devices: Titration Processes,

Flow-Through Detectors – Continuous Analysis and Separation Techniques, Smart Sensors,

Sensor Arrays, Micro Total Chemical Analysis Systems (µ-TAS), Characteristic Operations and

Processes in µ-TAS, Examples of µ-TAS.


1. Peter Gründler, Chemical Sensors: An Introduction for Scientists and Engineers,

Springer, 2007.

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RW705 SIGNAL PROCESSING AND OPTIMIZATION FOR 3-0-0-3

TRANSCEIVER SYSTEMS

Fundamentals of optimization - Mathematical Background - Matrix differentiation - Convexity,

Schur convexity and majorization theory - Optimization with equality and inequality constraints

- Inner products, norms, and inequalities - Matrices: a brief overview - Singular value

decomposition - Properties of pseudocirculant matrices - Communication Fundamentals –

Introduction - Review of basic ideas from digital communication - Digital communication

systems and filter banks - Discrete time representations - Classical transceiver techniques -

Channel capacity - Channel equalization with transmitter redundancy - The lazy precoder with a

zero-forcing equalizer-Transceiver Optimization - History and outline - Single-input single-

output transceiver optimization - Optimal transceivers for diagonal channels - MMSE

transceivers with zero-forcing equalizers - MMSE transceivers without zero forcing - Bit

allocation and power minimization - Transceivers with orthonormal precoders - Minimization of

error probability in transceivers - Optimization of cyclic prefix transceivers - Optimization of

zero padded systems - Transceivers with decision feedback equalizers


1. P. P. Vaidyanathan, See-May Phoong, and Yuan-Pei Lin, Signal Processing and

Optimization for Transceiver Systems, Cambridge University Press, 2010.

RW706 COMPRESSED SENSING FOR COMMUNICATION AND 3-0-0-3

RADAR SYSTEMS

Fundamentals of Compressed Sensing – Sparsity - L1 Minimization - Probabilistic approach to

Compressed Sensing - Sparse Regression - Convex Optimization - Low-Rank Matrix Recovery -

Bregman Algorithms

Applications - Analog-to-Digital Conversion– Sparse Channel Estimation – Spectrum Sensing in

Cognitive Radio – Ultra Wideband Communication – LIDAR – MIMO Radar

Data Acquisition and Imaging for Ground Penetrating Radar – Synthetic Aperture Radar

Imaging – Tracking of Targets - Random Sensor Array Design - Compressive Sensing Radar


1. Y. Nesterov , Introductory Lectures on Convex Optimization: A Basic Course, Kluwer

Academic Publisher, 2010

2. K.P.Soman and R.Ramanathan, Digital Signal and Image Processing- The Sparse Way,

ISA Publishers, 2011

RW707 WAVELET RADIO 3-0-0-3

Wavelets and wavelet transforms, wavelets for wireless communications, wavelet radio,

Representations of signals – Fourier analysis, Gabor Transform, Wavelet analysis, Continuous

wavelet transform, multi-resolution analysis, discrete wavelet transform, Filter bank, Wavelet

packet modulator, wavelet packet based multi-carrier modulation, Variants of wavelet packet

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modulator, Interpolated tree orthogonal multiplexing, Synchronization issues of wavelet radio,

Peak-to-average power ratio, Wavelets for spectrum sensing in cognitive radio, Optimal wavelet

design for wireless communications,


1. Homayoun Nikookar, Wavelet Radio: Adaptive and Reconfigurable Wireless Systems

Based on Wavelets, Cambridge University Press, 2013

MACHINE LEARNING AND COMPUTATIONAL INTELLIGENCE

CN731 DATAMINING AND MACHINE LEARNING 3-0-0-3

Computational Statistics-probability and sampling concepts, exploratory data analysis, Monte

Carlo Methods for Inferential Statistics, Data Portioning, Nonparametric regression, decision

tees, algorithm for normal attributes, Information Theory and Entropy, Gaussian approximation,

Multiple regression analysis, logistic regression, K-Nearest Neighbor classification, Vector

Machines, LP formulation of linear svm, nonlinear kernels, proximal svm, cluster analysis,

modern clustering methods, deep learning with neural networks

TEXT BOOKS/REFERENCES:

1. Ian H. Witten, Datamining: Practical Machine Learning Tools and Techniques with Java

Implementations, Morgan Kauffman, 2000

2. K P Soman, Shyam Diwakar and V Ajay, Insight into Data Mining: Theory and Practice.

PHI, 2006

CN732 SVM AND KERNEL METHODS 3-0-0-3

Machine Learning with support vector machines, supervised automatic learning- a probabilistic

framework, learning algorithms, Kernel methods and evolution of SVM, Nonlinear SVM and

kernel tricks, V-support vector machines, support vector regression, nonlinear svm using linear

programming, proximal svm, sequential minimization algorithms, one class svm, multiclass and

hierarchical svm, string kernels, kernel based methods for clustering data


1. K P Soman, R Loganathan and V Ajay, Machine Learning with SVM and other Kernel

Methods, PHI, 2011

CN733 NN AND DEEP LEARNING 3-0-0-3

Introduction, Historical context of Deep Learning, Three classes of deep learning networks,

Deep Autoencoders, Pre-trained deep neural networks, Deep stacking networks and variants,

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applications in speech, image processing and language modeling, Brief intro to information

retrieval, Semantic Hashing with deep autoencoders for document indexing and retrieval,

Unsupervised or generative feature learning, Supervised feature learning and classification,

Multi-modalities: Text and Image, Multi-modalities: Speech and Image, Multi-task learning with

speech, nlp or image domain.


1. Li Deng and Dong Yu, Deep Learning: Methods and Applications, Now Publishers, 2014

CN734 HPC AND BIG DATA ANALYTICS 3-0-0-3

Introduction to Computing - The OSI Model / Local Area Networks - L1 Electronics & Signals /

L1 Media, Connections, Collisions - L2 Concepts / L2 Technologies / Design & Documentation

- Structured Cabling / Addressing & Routing - Addressing & Routing / Routing & Protocols - L4

Transport / L5 Session / L6 Presentation / L7 Application - Review / WANs & Routers - Router

CLI / Router Components - Router Startup / Router Configuration 1 - IOS Images / Router

Configuration 2 - TCP / IP - IP Addressing / Routing - Routing Protocols / Network

Troubleshooting - Router Configuration and Troubleshooting.MPI Programming for Scientific

Computing. Use of BLAS, LAPACK, PetSC, EIPACK, PLAPACK.MapReduce, Algorithms

using MapReduce, Extensions to MapReduce, Complexity Theory, Finding Similar Items,

Applications of Near-Neighbor Search, Shingling of Documents, Similarity preserving

summaries of sets, Distance Measures, Theory of Locality-Sensitive Distance, Mining Data

Streams, The Stream Data Model, Sampling Data in Stream, Filtering Streams, Clustering for

Streams and Parallelism, Mining Social Network Graphs, Dimensionality Reduction Methods,

Large Scale Machine Learning.


1. Jure Leskovec, Anand Rajaraman and Jeffrey D Ullman, Mining of Massive Datasets,

2014

2. Derrick C. Cerwinsky, Craig C. Douglas, Mookwon Seo and Xiaoban Wu, An

Introduction to C and Parallel Programming with Applications, 2014

3. Peter Pacheco, An Introduction to Parallel Programming, Morgan Kauffman, 2011

CN735 DISTRIBUTED COMPUTING AND BIG DATA: HADOOP AND 3-0-0-3

MAPREDUCE

BigData, Distributed Computing, Hadoop and MapReduce, Hadoop Clusters, Validate and

Analyze Clusters, HDFS Key Concepts , Map/Reduce Key Concepts, Use cases, MapReduce

desin, Inverted Indexing for Information Retrieval, Graph Algorithms, EM Algorithms for Text

Processing

15


1. Tom White, The Definitive Guide, Third Edition, O’Reilly, 2012

2. Jimmy Lin and Chris Dyer, Data-Intensive Text Processing with MapReduce”, Morgan

and Claypool, 2010

CN736 TEXT ANALYTICS 3-0-0-3

Introduction to Text Mining, Information Extraction from Text, Text Summarization, Text

Clustering Algorithms, Dimensionality Reduction and Topic Modeling, Text Classification

Algorithms, Transfer Learning for Text Mining, Probabilistic Models for Text Mining, Mining

Text Streams, Translingual Mining from Text Data, Opinion Mining and Sentimental Analysis,

Biomedical Text Mining, Text Mining in Multimedia, Text Analytics in Social Media


1. Charu C. Aggarwal and Cheng Xiang Zhai, Mining Text Data, Springer, 2012

CN737 SOCIAL NETWORK DATA ANALYTICS 3-0-0-3

Datamining, Statistical Limits in datamining, MapReduce, Algorithms using MapReduce,

Extensions to MapReduce,Complexity Theory, Finding Similar Items, Applications of Near-

Neighbor Search, Shingling of Documents, Similarity preserving summaries of sets, Distance

Measures, Theory of Locality-Sensitive Distance, Mining Data Streams, The Stream Data

Model, Sampling Data in Stream, Filtering Streams, Link Analysis, Page Rank, Topic-Sensitive

Page Rank, Link Spam, hubs and Authorities, Frequent Itemsets, The Market-Basket Model,

Handling Large datasets in memory, Limited Pass Algorithms, Counting Frequent Items in

Streams, Clustering, Introduction to Clustering, Hierarchical Clustering, K-Means Algorithm,

The CURE Algorithm, Clustering for Streams and Parallelism, Mining Social Network Graphs,

Dimensionality Reduction Methods, Large Scale Machine Learning.


1. Jure Leskovec, Anand Rajaraman and Jeffrey D Ullman, Mining of Massive Datasets,

2014

2. Charu C. Aggarwal, Social Networking Analytics, Kluwer Academic Publishers, 2011

CN738 SPARSE SIGNAL PROCESSING AND COMPRESSED SENSING 3-0-0-3

Introduction. Motivation. Mathematical Background. Sparse Recovery, Recovery. Restricted

Isometry Property (RIP), Coherence. Random Sampling. Stable Recovery. Number of

Measurements. Random Sampling. Sensing Matrix Design. Matching Pursuit. Message Passing.

Alternate Direction. Iterative Thresholding. Sparse Noise. Matrix Completion and

Approximation, Robust PCA. Dictionary Learning, K-means, K-SVD. Non-Negative Matrix

16

Factorization. Subspace Clustering. Structured Sparsity. Multi-task. Multi-Modal. Multi-

Measurement. Low-rank Models.


1. M. Elad, Sparse and Redundant Representations, Springer, 2010.

2. M. A. Davenport, M. F. Duarte, Y. C. Eldar and G. Kutyniok, Introduction to

Compressed Sensing, in Compressed Sensing: Theory and Applications, Cambridge

University Press, 2012.

CN739 ADVANCED SIGNAL PROCESSING 3-0-0-3

Hilbert Transform, Hilbert Huang Transform , Empirical Mode Decomposition, Synchro

squeezing Transform, Empirical Wavelet transform , Variational mode decomposition,

Vibrational mode decomposition, wavelet Scattering Transform


1. N. Huang, Hilbert Huang Transform in Engineering, Taylor and Francis, CRC Press,

2005.

RW712 SIGNAL PROCESSING FOR WIRELESS COMMUNICATION 3-0-0-3

Channel Estimation, Equalization, MUD in CDMA, OFDM, Transmit Diversity and Space-Time

Coding, Smart Antenna and Beamforming, Rake Receiver in CDMA, Kalman Filter, Particle

Filtering, DSP Hardware and Implementation Technologies, GNU Radio and USRP.


1. S. Haykin, Adaptive Filter Theory, Fourth Edition, Prentice Hall, 2002.

2. J. G. Proakis and M. Salehi, Contemporary Communication Systems Using MATLAB and

Simulink, Second Edition, Brooks/Cole Pub Co., 2004.

3. S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, 2e with DSP

Laboratory Using MATLAB, McGraw-Hill, 2001.

4. H. Liu, Signal Processing Applications in CDMA Communications, Artech House, 2000.

RW713 DSP ALGORITHMS AND ARCHITECTURES 3-0-0-3

DSP representations (data-flow, control-flow, and signal-flow graphs, block

diagrams),fixedpoint DSP design (A/D precision, coefficient quantization, round-off and

scaling), filter structures (recursive, nonrecursive and lattice), algorithmic simulations of DSP

systems in C, behavioral modeling in HDL. System modeling and performance measures. Fast

filtering algorithms (Winograd's, FFT, short- length FIR), retiming and pipelining, block

processing, folding, distributed arithmetic architectures, VLSI performance measures (area,

power, and speed), structural modeling in VHDL. Analog signal processing for fast operation.

Impact of nonideal characteristics of analog functional blocks on the system

17

performance.Distributed arithmetic (DA). Advantageous of using DA. Size reduction of look-up

tables. Canonic signed digit arithmetic. Implementation of elementary functions Table-oriented

methods. Polynomial approximation Random number generators. Linear feedback shift register.

High performance arithmetic unit architectures (adders, multipliers, dividers), bitparallel, bit-

serial, digit-serial, carry-save architectures, redundant number system, modeling for synthesis in

HDL, synthesis place-and-route. Applications to some common DSP algorithms. System timing

using the scheduling vector. Projection of the dependence graph using a projection direction. The

delay operator and ztransform techniques for mapping DSP algorithms onto processor arrays.

Algebraic technique for mapping algorithms. The computation domain. The dependence matrix

of a variable. The scheduling and projection functions. Data broadcast and pipelining

Applications using common DSP algorithms.


1. Sen M.Kuo and Woon-Seng S. Gan, Digal Signal Processors: Architectures,

Implementations, and Applications, Prentice Hall, 2004.

2. Keshab K. Parhi, VLSI Signal Processing Systems, Design and Implementation, John

Wiley & Sons, 1999.

3. Uwe Meyer-Baese, Digital Signal Processing with Field Programmable Gate Array,

Springer- Verlag, 2001.

4. John G. Proakis and Dimitris Manolakis K, DSP Principles, Algorithms and

Applications, Prentice Hall, 1995.

5. Pirsch, Architectures for Digital Signal Processing, John Wiley and Sons, 1998.

6. Lars Wanhammar, DSP Integrated Circuits, Academic Press, 1999.

7. Parhami and Behrooz, Computer Arithmetic: Algorithms and Hardware Designs, Oxford


8. Israel Koren, A. K. Peters and Natick, Computer Arithmetic Algorithms, MA, 2002.

RW714 SOFTWARE DEFINED NETWORKS 3-0-0-3

History and evolution of SDN, Control and data plane separation, Virtual networking, SDN Nuts

and Bolts, Control Plane, Data Plane, Programming SDNs, Open Flow model and centralized

network control, data plane generation, open source controllers, network function virtualization

and service chaining, SDN framework for controllers, applications and ecosystems.


1. Thomas Nadeau D and Ken Gray, SDN: Software Defined Neworks, O’Reilly Media,

2013

RW715 SILICONE AND URETHANE MOLD MAKING 3-0-0-3

Overview of mold making and casting, Mold-making materials: silicone and urethane,

Advantages of various types, Disadvantages of various types, Qualities of 2-component rubbers,

Fundamental steps in silicone and urethane mold-making, Terminology and main varieties of

18

equipment technologies, Terminology related to materials and mold-making, Guidelines for safe

operation of mold-making equipment, Guidelines for safe handling of materials, including

hazardous chemicals, Key operational concepts in mold-making with silicone and urethane, Role

of viscosity, Effects of temperature, Multiple part molds, Related topics, Types of mold releases,

Advantages of various types, Disadvantages of various types, Urethane mold-making materials,

Advantages of various types, Disadvantages of various types,(Clean up, finishing, surface

coatings, and quality assurance methods) in mold-making with silicone and urethane, General

uses, benefits and industry specific applications for, Case studies of silicone and urethane mold-

making in specific industry sectors, Theater, Art, Rapid manufacturing, Jewelry making, Part

design, Engineering, Technical drawing interpretation (print reading), materials specification

standards and production plans used in industry


1. Kurt C. Frisch and Daniel Klempner, Advances in Urethane: Science & Technology,

Volume XIV, CRC Press,1998

2. Michael J. Owen and Petar R. Dvornic, Silicone Surface Science, Springer,2012

RW716 RESIN AND FOAM CASTING 3-0-0-3

Overview of mold making and casting, Casting materials: resins and foams, Advantages of

various types, Disadvantages of various types, Qualities of 2-component rubbers, Fundamental

steps in resin and foam casting, Terminology and main varieties of equipment technologies,

Terminology related to materials and casting, Guidelines for safe operation of equipment,

Guidelines for safe handling of materials, including hazardous, chemicals, Key operational

concepts in casting with resins and foams including, Role of viscosity, Effects of temperature,

Multiple part molds, Related topics, Types of mold releases, Advantages of various types,

Disadvantages of various types, Casting materials, Advantages of various types, Disadvantages

of various types, Clean up, finishing, surface coatings, and quality assurance methods, in casting

with resins and foams, General uses, benefits and industry specific applications for casting, Case

studies of resin and foam casting in specific industry sectors, Theater, Art, Rapid manufacturing,

Jewelry making, Part design, Engineering, Technical drawing interpretation (print reading),

materials, specification standards and production plans used in industry, Lab Activities : Use

basic machine operations and safety procedures for all, laboratory machine/devices, Interpret

Materials Safety Data Sheets (MSDS) for all casting and, finishing materials used in lab

activities, Apply specific equipment operational settings, variables and, monitoring procedures,

Solve machine specific problems. Apply troubleshooting techniques, operator intervention and

problem resolution methods, Complete a pressure casting, Extract the above, Use clean-up

methods for the above, Finish and surface coat a completed mold, Apply advanced post-

production options and methods, Tooling creation with emphasis on casting, Technical drawing

interpretation (print reading), national materials, specification standards, and mold/casting

production plans used in industry, Conduct measurement verification, geometry analysis, quality

assurance


1. Andrew J. Martin, The Essential Guide to Mold Making & Slip Casting, Lark Crafts,

2007

19

EMBEDDED COMPUTING AND ROBOTICS

CN750 FUNDAMENTALS OF ROBOTIC SYSTEMS 3-0-0-3

Introduction - Robot anatomy-Definition, law of robotics, History and Terminology of Robotics-

Accuracy and repeatability of Robotics-Simple problems- Specifications of Robot-Speed of

Robot-Robot joints and links-Robot classifications-Architecture of robotic systems-Robot Drive

systems- Hydraulic, Pneumatic and Electric system. End effectors and robot controls-

Mechanical grippers-Slider crank mechanism, Screw type, Rotary actuators, cam type-Magnetic

grippers-Vacuum grippers-Air operated grippers-Gripper force analysis-Gripper design-Simple

problems-Robot controls-Point to point control, Continuous path control, Intelligent robot-

Control system for robot joint-Control actions-Feedback devices-Encoder, Resolver, LVDT-

Motion Interpolations-Adaptive control. Robot Transformations And Sensors- Robot kinematics-

Types- 2D, 3D Transformation-Scaling, Rotation, Translation- Homogeneous coordinates,

multiple transformation-Simple problems. Sensors in robot – Touch sensors-Tactile sensor –

Proximity and range sensors – Robotic vision sensor-Force sensor-Light sensors, Pressure

sensors, Robot Cell Design And Applications- Robot work cell design and control-Sequence

control, Operator interface, Safety monitoring devices in Robot-Mobile robot working principle,

actuation using MATLAB, NXT Software Introductions-Robot applications- Material handling,

Machine loading and unloading, assembly, Inspection, Welding, Spray painting and undersea

robot, micro/nano robotics system- Micro/Nanorobotics system overview-Scaling effect-Top

down and bottom up approach- Actuators of Micro/Nano robotics system-Nanorobot

communication techniques-Fabrication of micro/nano grippers-Wall climbing micro robot

working principles-Biomimetic robot-Swarm robot-Nanorobot intargeted drug delivery system.

TEXTBOOKS/ REFERENCES: 1. S.R. Deb, Robotics Technology and Flexible Automation, Tata McGraw-Hill Education.,

2009

2. Mikell P Groover, Nicholas G Odrey, Mitchel Weiss, Roger N Nagel and Ashish Dutta,

Industrial Robotics, Technology Programming and Applications, McGraw Hill, 2012

3. Richard D. Klafter, Thomas .A, Chri Elewski and Michael Negin, Robotics Engineering

an Integrated Approach, PHI Learning., 2009.

4. Francis N. Nagy and Andras Siegler, Engineering Foundation of Robotics, Prentice Hall

Inc., 1987.

5. P.A. Janaki Raman, Robotics and Image Processing an Introduction, Tata McGraw Hill

Publishing Company Ltd., 1995.

6. Carl D. Crane and Joseph Duffy, Kinematic Analysis of Robot Manipulators, Cambridge


7. Fu. K. S., Gonzalez. R. C. and Lee C.S.G., Robotics Control, Sensing, Vision and

Intelligence, McGraw Hill Book co, 1987

8. Craig. J. J., Introduction to Robotics Mechanics and Control, Addison- Wesley, 1999.

9. Ray Asfahl. C., Robots and Manufacturing Automation, John Wiley & Sons Inc.,1985.

10. Bharat Bhushan., Springer Handbook of Nanotechnology, Springer, 2004.

11. Julian W. Gardner., Micro Sensor MEMS and Smart Devices, John Wiley & Sons, 2001

20

CN751 MICROCONTROLLER AND ITS APPLICATION IN ROBOTICS 3-0-0-3

Introduction To 8051 Microcontroller- Data representation- decimal system, binary system,

hexadecimal system. Binary to decimal conversion, decimal to Hexadecimal, binary addition and

subtraction, MCS51 Micro controller: internal architecture, pin description, addressing modes.

Difference between microcontroller and microprocessor, criteria for choosing a microcontroller,

8051 Programming - Instruction set-arithmetic, logical, data transfer, branching and Flag

manipulation Instructions. 8051 assembly language programming- Timers, Interrupts, I/O ports,

Interfacing I/O Devices, Serial Communication, Introduction to C programming in

8051,introduction to RTOS, Peripheral Interfacing- Real world interfacing- Analog to Digital

converter, Digital to Analog converter, Mechanical switches, LEDs, seven segment display,

keypads, LCDs, DC motor, stepper motor, PWM, External Memory Interface, Pic

Microcontroller- Architecture, memory organization - addressing modes. Instruction set – PIC

programming in Assembly & C- I/O port, Data Conversion, RAM & ROM allocation, Timer

programming. Interfacing concepts - I2C, SSP bus Operationsm, Microcontroller In Robotics-

Case Studies –Home security system, Tic tac toe, Micro-mouse, Soccer playing robot,

Unmanned Ariel vehicles, Smart card application

TEXTBOOKS/ REFERENCES: 1. Mazidi, The 8051 Micro Controller and Embedded System, Pearson Education , 2002

2. Han-way Huang, Using the MCS-51 Microcontroller, Oxford University Press, 2009.

3. John B. Peatman, Design with PIC Microcontroller, McGraw Hill International Ltd.,

1997

4. Scott Mackenzie and Raphael C. W. Phan, The 8051 Microcontroller, Prentice Hall,

2007

5. Muhammed Ali Mazidi, The 8051 Microcontroller and Embedded Systems, Prentice

Hall, 2000

6. K. Uma Rao and Andhe Pallavi, The 8051 Microcontroller Architecture, Programming

and Applications ,Pearson Education India, 2010

7. Muhammad Ali Mazidi, Rolin D. McKinlay and Danny Causey, PIC Microcontroller

and Embedded Systems ,Pearson Education, 2007

CN752 DRIVES AND CONTROL SYSTEMS FOR ROBOTICS 3-0-0-3

Robot Drive Mechanism- Objectives, motivation, open loop control, closed loop control with

velocity and position feedback, Types of drive systems, Functions of drive system. Lead Screws,

Ball Screws, Chain & linkage drives, Belt drives, Gear drives, Precision gear boxes, Harmonic

drives, Cyclo speed reducers. Hydraulic Drives- Introduction, Requirements, Hydraulic piston

and transfer valve, hydraulic circuit incorporating control amplifier, hydraulic fluid

considerations, hydraulic actuators Rotary and linear actuators. Hydraulic components in robots,

Pneumatic Drives -Introduction, Advantages, pistons-Linear Pistons, Rotary pistons, Motors-

Flapper motor, Geared motor, Components used in pneumatic control. Pneumatic proportional

controller, pneumatically controlled prismatic joint, Electric Drives-Introduction, Types, DC

electric motor, AC electric motor, stepper motors, half step mode operation, micro step mode.

Types of stepper motors, Direct drive actuator, Servo Systems For Robot Control- General

21

aspects of robot control. Basic control techniques, mathematical modeling of robot servos, error

responses and steady state errors in robot servos, feed back and feed forward compensations,

hydraulic position servo, computer controlled servo system for robot applications, selection of

robot drive systems.

TEXTBOOKS/ REFERENCES: 1. Francis N-Nagy and Andras Siegler, Engineering Foundation of Robotics, Prentice Hall

Inc., 1987.



3. P.A. Janaki Raman, Robotics and Image Processing an Introduction, Tata Mc Graw Hill

Publishing company Ltd., 1995.


Industrial Robotics, Technology Programming and Applications, Tata McGraw-Hill

Education, 2012.

5. Bernard Hodges, Industrial Robotics, Second Edition, Jaico Publishing House, 1993.

6. Robert J. Schilling, Fundamentals of Robotics Analysis and Control, PHI Learning. 2009.

7. Tsuneo Yohikwa, Foundations of Robotics Analysis and Control, MIT Press, 2003.

8. John J. Craig, Introduction to Robotics Mechanics and Control, Third Edition, Pearson,

2008

CN753 COMPUTER AIDED DESIGN AND MANUFACTURING 3-0-0-3

Geometric Modelling-Types of mathematical representation of curves, wire frame models wire

frame entities parametric representation of synthetic curves hermite cubic splines Bezier curves

B-splines rational curves, Surface Modeling-Mathematical representation surfaces, Surface

model, Surface entities surface representation, Parametric representation of surfaces, plane

surface, rule surface, surface of revolution, Tabulated Cylinder, Solid Modelling-3d-Solid

modeling, Solid Representation, Boundary Representation (Brep), Constructive Solid Geometry

(CSG), Automation And Numerical Control-Automation – Definition. Type, Strategies – NC

Systems –Types, Coordinate systems, Interpolation schemes – NC part programming –Manual,

Computer assisted part programming – APT Languages – DNC –CNC –Adaptive control, Group

Technology And Flexible Manufacturing Systems- Part families – Part classification and coding

systems – production flow analysis – Machine cell design – Benefits of GT –FMS- Concept,

workstation, Layout, Analysis method, Benefits – Material handling systems – Types –

Conveyor systems – AGV’S – AS/RS system – Analysis method, Manufacturing Planning

Systems And Process Control- CAPP - Computer Integrated production planning systems –MRP

– Capacity planning – Shop Floor control factory Data collection systems – Computer process

interface types of computer process control – process monitoring, Supervisory computer control.

TEXTBOOKS/ REFERENCES: 1. Mikell P. Groover, Automation Production Systems and Computer –Integrated

Manufacturing, Prentice Hall of India. Ltd., 1998.

2. Ibrhim Zeid, Mastering CAD/CAM, McGraw Hill International, 2005

3. P.N.Rao, CAD/CAM: Principles and Applications, Tata McGraw Hill, 2010.

22

4. S.R.Deb, Robotic Technology and Flexible Automation, Fourth Edition, Tata McGraw

Hill, 2009

5. J.S.Narang and M.S. Sherawat, CNC Machines, Dhanpaty Rai & Co, 1999.

6. P.N.Rao, N.K. Tewari and T.K. Kundra, Computer Aided Manufacturing, Tata McGraw

Hill, 2001.

7. M.P. Groover and W.Zimmers, CAD/CAM, Prentice Hall 1990.

8. Yoram Koren, Computer Integrated Manufacturing Systems, McGraw Hill, 1983.

9. Paul G. Ranky, Computer Integrated Manufacturing, Prentice Hall, 1990.

10. David Bedworth, Computer Integrated Design & Manufacturing, TMH, New Delhi,

1998.

11. Kant Vajpayee,S, Principles of CIM, Prentice Hall of India, 1995

CN754 KINEMATICS AND DYNAMICS OF ROBOTS 3-0-0-3

Introduction, position and orientation of objects, objects coordinate frame Rotation matrix, Euler

angles Roll, pitch and yaw angles coordinate Transformations, Joint variables and position of

end effector, Dot and cross products, coordinate frames, Rotations, Homogeneous coordinates.

Direct Kinematics- Link coordinates D-H Representation, The ARM equation. Direct kinematic

analysis for Four axis, SCARA Robot and three, five and six axis Articulated Robots. Inverse

Kinematics- The inverse kinematics problem, General properties of solutions. Tool

configuration, Inverse kinematics of four axis SCARA robot and three and five axis, Articulated

robot. Workspace Analysis And Tracjectory Planning- Workspace Analysis, work envelope of a

Four axis SCARA robot and five axis articulated robot workspace fixtures, the pick and place

operations, Joint space technique - continuous path motion, Interpolated motion, straight line

motion and Cartesian space technique in trajectory planning, Manipulator Dynamics -

Introduction, Lagrange's equation kinetic and potential energy. Link inertia Tensor, link Jacobian

Manipulator inertia tensor. Gravity, Generalized forces, Lagrange-Euler Dynamic model,

Dynamic model of a Two-axis planar robot, Newton Euler formulation, Lagrange - Euler

formulation, problems.


1. Robert J. Schilling, Fundamentals of Robotics Analysis and Control, PHI Learning, 2009.





4. Francis N-Nagy and Andras Siegler, Engineering Foundation of Robotics, Prentice Hall

Inc., 1987.

5. Bernard Hodges, Industrial Robotics, Second Edition, Jaico Publishing House, 1993.

6. Tsuneo Yohikwa, Foundations of Robotics Analysis and Control, MIT Press, 2003.


2008.

8. Bijay K. Ghosh, Ning Xi and T.J. Tarn, Control in Robotics and Automation Sensor –

Based Integration, Academic Press, 1999.

23

CN755 ROBOT PROGRAMMING 3-0-0-3

Basics Of Robot Programming- Robot programming-Introduction-Types- Flex Pendant- Lead

through programming, Coordinate systems of Robot, Robot controller- major components,

functions-Wrist Mechanism-Interpolation-Interlock commands- Operating mode of robot,

Jogging-Types, Robot specifications- Motion commands, end effectors and sensors commands,

Val Language-Robot Languages-Classifications, Structures- VAL language commands motion

control, hand control, program control, pick and place applications, palletizing applications using

VAL, Robot welding application using VAL program-WAIT, SIGNAL and DELAY command

for communications using simple applications, Rapid Language- RAPID language basic

commands- Motion Instructions-Pick and place operation using Industrial robot- manual mode,

automatic mode, subroutine command based programming. Movemaster command language-

Introduction, syntax, simple problems, Practical Study Of Virtual Robot - Robot cycle time

analysis-Multiple robot and machine Interference-Process chart-Simple problems-Virtual

robotics, Robot studio online software- Introduction, Jogging, components, work planning,

program modules, input and output signals-Singularities-Collision detection Repeatability

measurement of robot-Robot economics, Val-Ii And Aml - VAL-II programming-basic

commands, applications- Simple problem using conditional statements-Simple pick and place

applications-Production rate calculations using robot. AML Language-General description,

elements and functions, Statements, constants and variables-Program control statements-

Operating systems, Motion, Sensor commands-Data processing.

TEXTBOOKS/ REFERENCES: 1. Deb. S. R, Robotics Technology and Flexible Automation, Tata McGraw Hill Publishing

Company Limited, 1994

2. Mikell. P. Groover, Industrial Robotics Technology, Programming and Applications,

McGraw Hill Co, 1995.

3. Klafter. R.D, Chmielewski.T.A. and Noggin’s., Robot Engineering: An Integrated

Approach, Prentice Hall of India Pvt. Ltd., 1994.

4. Fu. K. S., Gonzalez. R. C. and Lee C.S.G., Robotics Control, Sensing, Vision and

Intelligence, McGraw Hill Book co, 1987

5. Craig. J. J, Introduction to Robotics Mechanics and Control, Addison- Wesley, 1999.

6. Robotics Lab Manual, 2007.

CN756 ROBOT VISION 3-0-0-3

Image Acquisition And Imaging Components-The Nature of Vision- Robot vision – Need,

Applications - image acquisition –illumination techniques- Point sensor, line sensor, planar

sensor, camera transfer characteristic, Raster scan, Image capture time, volume sensors, Image

representation, picture coding techniques, Elements Of Image Processing Techniques-

Discretization, Neighbours of a pixel-connectivity- Distance measures - preprocessing

Neighbourhood averaging, Median filtering. Smoothening of binary Images- Image

Enhancement- Histogram Equalization-Histogram Specification –Local Enhancement-Edge

detection- Gradient operator- Laplace operators-Thresholding-Morphological image processing,

24

Object Recognition And Feature Extraction- Image segmentation- Edge linking-Boundary

detection-Region growing- Region splitting and merging- Boundary Descriptors-Freeman chain

code- Regional Descriptors- recognition-structural methods- Recognition procedure,

mahalanobic procedure, Collison Fronts Algorithm- Introduction, skeleton of objects. Gradients,

propagation, Definitions, propagation algorithm, Thinning Algorithm, Skeleton lengths of Top

most objects, Robot Vision Application - Case study-Automated Navigation guidance by vision

system – vision based depalletizing- line tracking-. Automatic part Recognition. Image

processing techniques implementation through Image Processing software-MATLAB/OPENCV








Education, 2011.


2008.

5. Bijay K. Ghosh, Ning Xi and T.J. Tarn, Control in Robotics and Automation Sensor –


6. S.R. Deb, Robotics Technology and Flexible Automation, Tata McGraw- Hill Education.,

2009.

7. K.S. Fu, R.C. Gonzalez and C.S.G. Lee, Robotics – Control Sensing, Vision and

Intelligence, Tata McGraw-Hill Education, 2008.

8. Rafel C.Gonzalez, Richard E.Woods and Steven L.Eddins, Digital Image Processing

Using MATLAB, Second Edition, Tata McGraw Hill, 2010.

CN757 ROBOTIC SIMULATION 3-0-0-3

Introduction- Robotics systems, Robot movements, Quality of simulation, types of simulation,

Robot applications, Robotics simulation displays. Simulation notation, Auto lisp functions.

Features, Command syntax, writing design functions, Robotic Principles -Straight lines, Angles

and optimal moves circular interpolation, Robotic functions Geometrical commands, Edit

commands. Selecting robot views, standard Robot part, using the parts in a simulation, Robotics

Simulation- Simulation packages, Loading the simulation, Simulation editors, delay, Resume

commands. Slide commands, program flow control. Robot motion control, Analysis of robot

elements, Robotic linkages, Robotic Motion- Solids construction, Solid animation. Types of

motion, velocity and acceleration, Types of simulation motion Harmonic motion, parabolic

motion, uniform motion velocity and acceleration analysis for robots, Robot Design - Linkages,

Types, Transmission elements Flexible connectors, pulley-and- Belt drives, variable speed

transmission. Design of Robot for particular applications – A case study.


1. Daniel L. Ryan, Robotics Simulation, CRC Press Inc., 1994.

25



3. Robert J. Schilling, Fundamentals of Robotics Analysis and Control, PHI Learning. 2009.


Industrial Robotics, Technology Programming and Applications, McGraw Hill, 2012.

5. Francis N. Nagy and Andras Siegler, Engineering Foundation of Robotics, Prentice Hall

Inc., 1987.

6. Robert J. Schilling, Fundamentals of Robotics Analysis and Control, PHI Learning, 2009.

7. Tsuneo Yohikwa, Foundations of Robotics Analysis and Control, The MIT Press, 2003.


2008

9. Bijay K. Ghosh, Ning XI and T.J. Tarn, Control in Robotics and Automation Sensor –


10. Carl D. crane III and Joseph Duffy, Kinematic Analysis of Robot Manipulation,

Cambridge University press, 2008

CN758 ROBOTIC SENSORS 3-0-0-3

An Introduction to sensors and Transducers, History and definitions, Smart Sensing, AI sensing,

Need of sensors in Robotics. 28 RB-2013 SRM, Position sensors – optical, non-optical, Velocity

sensors, Accelerometers, Proximity Sensors – Contact, non-contact, Range Sensing, touch and

Slip Sensors, Force and Torque Sensors, Different sensing variables – smell, Heat or

Temperature, Humidity, Light, Speech or Voice recognition Systems, Telepresence and related

technologies, Robot Control through Vision sensors, Robot vision locating position, Robot

guidance with vision system, End effector camera Sensor, Control Computer, Vision Sensor

modules, Software Structure, Vision Sensor software, Robot programming, Handling, Gripper

and Gripping methods, accuracy – A Case study.

TEXTBOOKS/ REFERENCES: 1. Paul W Chapman, Smart Sensors, an Independent Learning Module Series, 1996.



3. John Iovice, Robots, Androids and Animations, Mc Graw Hill, 2003.

4. K.S. Fu, R.C. Gonzalez and C.S.G. Lee, Robotics – Control Sensing, Vision and

Intelligence, Tata McGraw-Hill Education, 2008.



Education, 2012.

6. Sabrie Soloman, Sensors and Control Systems in Manufacturing, Second Edition,

McGraw-Hill Professional Publishing, 2009.

7. Julian W Gardner, Micro Sensor MEMS and Smart Devices, John Wiley & Sons, 2001.

26

CN759 FINITE ELEMENT ANALYSIS 3-0-0-3

Basic concept of Finite Element Method, Historical background, FEM Applications, General

Description of FEM, Commercial FEM software packages. Spring element-stiffness matrix,

boundary conditions, solving equations. Variational formulation approach- Rayleigh-Ritz

method, Principle of minimum Potential Energy, Weighted residual methods, Bar and Beam

elements, local and global coordinate system, transformation of coordinate systems, element

stress. Analysis of truss. Natural coordinate system, Interpolation polynomial, Isoparametric

elements and Numerical integration -Gaussian quadrature approach-simple problems in 1-D,

Review of the basic theory in 2-D elasticity, plane stress, 2-D problems using Constant Strain

Triangles (CST), isoparametric representation, element matrices, stress calculations. Finite

element modeling and simulation techniques-symmetry, Nature of FE solutions, error,

convergence, adaptivity, substructures (super elements) in FEA, Review of basic dynamic

equations, Hamilton’s principle, element mass matrices, free vibration (normal mode) analysis,

Eigen values and Eigen vectors. Introduction to transient response analysis, Review of basic

equations of heat transfer, steady state one dimensional heat conduction, governing equations,

boundary conditions, element characteristics-Simple problems in 1-D, 2-D, 3-D problems,

introduction to transient heat transfer, simple problems using ANSYS.


1. Chandrupatla and Belagundu, Finite Elements in Engineering, Prentice Hall of India

Private Ltd., 1997.

2. Rao S.S, Finite Element Method in Engineering, Pregamon Press, 1989.

3. Krishnamoorthy. C.S., Finite Element Analysis- Theory and Programming, Tata

McGraw-Hill Publishing Co., 1987.

4. Reddy, J.N, An introduction to the Finite Element Method, McGraw Hill Book

Company, New York; 1984.

5. Zienkiewicz. O.C, The Finite Element Method in Engineering. Science, McGraw-Hill,

London, 1977.

6. Robert Cook and Davis, Concepts and Applications of Finite Element Analysis, Wiley,

John & Sons, 1999.

RW717 PRACTICAL GIS 3-0-0-3

Introduction to GIS for Earth Observation - Land Applications - Ocean Atmosphere and

Crysphere Applications - Environment and Security - Synergy with Other Space Technology -

Advanced Technology for Earth Observation - GIS data models - Tabular analysis - Point

analysis - Line analysis - Network analysis - Dynamic segmentation - Polygon analysis - Grid

analysis - Image analysis - Modeling - Geocoding Basics- Thematic Information from Space-

Height Information from Space


1. David L Verbyla, Pracital GIS Analysis, Taylor and Francis, 2002

2. Neteler Markus and Mitasova Helena, Open Source GIS, Springer, 2008

3. Linder Wilfried, Digital Photogrammetry, Springer, 2009

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4. Williams Jonathan, GIS Processing of Geocoded Satellite Data, Springer, 2001

RW718 VEHICULAR COMMUNICATION, NAVIGATION AND CONTROL 3-0-0-3

Need of vehicular communication - Safety - Classification of safety applications - Bidirectional

transmission schemes - Non-autonomous systems - Autonomous systems, ad-hoc services,

bidirectional communication, position based communication, multi-hop position based

communication, information in the vehicular network, routing


1. Radu Poescu-Zeletin, Ilja Radusch and Mihai Adrian Rigani, Vehicular 2-X

Communication, Springer, 2010

2. Xiang W., Wireless Access in Vehicular Environments Technology, Springer, available in

the internet (to be published in 2015)

3. Luan T.-H., Shen X. (Sherman), and Bai F., Enabling Content Distribution in Vehicular

Ad Hoc Networks, Springer, 2014

RW719 RADAR SYSTEMS 3-0-0-3

Microwaves - Imaging with microwaves - Radiation framework - Concept of near and far fields -

Polarization - RADAR as remote sensing technology - Pulse compression radar - Synthetic

aperture radar - Swath width and bounds on pulse repetition frequency - Radar equation -

Theoretical expression for radar cross section - Scattering coefficient - Scattering matrix -

Covariance and coherency matrices - Polarization synthesis - Correcting and calibrating radar

imagery - Radar image interpretation


1. Bassem R. Mahafza, Radar Systems Analysis and Design Using MATLAB, Chapman and

Hall/CRC, 2013

2. Lynn P.-A., Radar Systems, Macmillian, 1989

3. Li J., Hummel R., Stoica P., and Zelnio E.-G. (Eds.), Radar Signal Processing and Its

Applications, Springer, 2003

4. Richards M.-A., Scheer J.-A., and Holm W.-A., (Eds.), Principles of Modern Radar,

SciTech Publishing, 2010

RW720 MICROWAVE REMOTE SENSING 3-0-0-3

Overview of microwave systems, physical fundamentals, polarimetry, microwaves in the real

world, detecting microwaves, atmospheric sounding, passive imaging, active microwaves,

imaging radar, interferometry,


1. Iian H Woodhouse, Introduction to Microwave Remote Sensing, CRC Press, 2005

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2. J A Richards, "Remote Sensing with Imaging Radar," Springer, 2009

3. Sharkov Eugene A, "Passive Microwave Remote Sensing of the Earth," Springer, 2003

4. Jin, Ya-Qiu, "Theory and Approach of Information Retrievals from Electromagnetic

Scattering and Remote Sensing," Springer, 2006

5. Kozlov, A.I., Ligthart, L.P and Logvin, A.I., "Mathematical and Physical Modelling of

Microwave Scattering and Polarimetric Remote Sensing," Springer, 2002

RW721 LIDAR 3-0-0-3

Introduction to LIDAR - Polarization in LIDAR - LIDAR and multiple scattering - LIDAR and

atmospheric aerosol particles - High spectral resolution LIDAR - Visibility and cloud LIDAR -

Different absorption LIDAR - Raman LIDAR - Temperature measurements with LIDAR -

Resonance Scattering LIDAR - Doppler Wind LIDAR - Airborne and Spaceborne LIDAR


1. Claus Weitkamp, “LIDAR-Range Resolved, Optical Remote Sensing of the Atmosphere”,

Springer, 2005

2. Ansmann A, Neuber R, Rairoux P and Wandinger U, "Advances in Atmospheric Remote

Sensing with Lidar," Springer, 1997

3. Zuev V E and Naats I E, Inverse Problems of Lidar Sensing of the Atmosphere,"Springer,

1983

RW722 GRAVITATIONAL WAVE REMOTE SENSING 3-0-0-3

Sources of gravitational waves - Sources of Gravitational Radiation - The Rate of Gravitational

Collapse in the Milky Way - Gravitational Radiation from Rotating Stellar Core Collapse -

Remarks on SN 1987a - Coalescing Binaries to Post-Newtonian Order - Principles of Signal

Processing - A Review of the Statistical Theory of Signal Detection - Radio Pulsar Search

Techniques - Sample Covariance Techniques in the Detection of Gravitational Waves -

Gravitational wave detectors - Resonant-bar detectors - Gravity wave dewars - Detection of

continuous wave - Data analysis and algorithms for gravitational wave antennas - Fabry-Perot

cavity gravity-wave detectors - Gravitational wave detection at low and very low frequencies -

Spacecraft Gravitational Wave Experiments - Gravitational Antenna Bandwidths and Cross

Sections - Comparison of Bars and Interferometers: Detection of Transient Gravitational

Radiation - Broadband Search Techniques for Periodic Sources of Gravitational Radiation


1. David G Blair,"The Detection of Gravitational Waves” Cambridge University Press, 1991

2. Bassan Massimo, "Advanced Interferometers and the Search for Gravitational Waves,"

Springer, 2014

3. Schutz B F, "Gravitational Wave Data Analysis," Springer, 1989

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RW723 ACOUSTIC REMOTE SENSING 3-0-0-3

Acoustic remote sensing - Instrumentation.- Physical Grounds for Acoustic Remote Sensing of

the Atmospheric Boundary Layer; Technological Development of Atmospheric Echosounders -

Atmosphere near the ground - Sound in atmosphere - Scattering - Sound transmission and

reception - SODAR - Calibration - SODAR signal analysis - Detecting signals in noise -

Turbulent intensities - Enhancement of signals - Measurement errors - Acoustic Propagational

Characteristics and Tomography Studies - Spreading and subduction - Abyssal basins and the

polar seas - Continental margins - Shallow-water environments - Man-made structures -

Anomalies and artifacts - Computer-assisted interpretation


1. Stuart Bradley, “ Atmosphere Acoustic Remote Sensing”, CRC Press, 2008

2. Caiti A, Chapman N R, Hermand J-P and Jesus S M, "Acoustic Sensing Techniques for

the Shallow Water Environment," Springer, 2006

3. Singal Sagar Pal, "Acoustic Remote Sensing Applications," Springer, 1997

4. Blondel Philippe, "The Handbook of Sidescan Sonar," Springer, 2009

RW724 REMOTE SENSING USING MAGNETIC-FIELDS 3-0-0-3

IMS Satellites - The Los Alamos Synchonous Orbit Data Set - Satellite Instrumentation and Data

- Space Environment Monitoring by Low-Altitude Operational Satellites - Atmosphere Explorer

and the IMS - Magsat Data Availability - Ground Based Observations - Magnetometer Networks

- Midlatitude Magnetometer Chains During the IMS - The Stare System and Some of Its

Applications - Worldwide Incoherent Scatter Radar Measurements - ISEE-Magnetoapuse

Observations


1. Russell C T and Southwood D J, "The IMS Source Book: Guide to the International

Magnetospheric Study Data Analysis," Wiley, 2003

2. Reid AB, "GEOPHYSICS: Magnetic Interpretation in Three Dimensions Using Euler

Deconvolution," Society of Exploration Geophysicists, 1990

3. Richard J Blakely and Robert W Simpson, Approximating Edges of Source Bodies from

Magnetic or Gravity Anomalies, Society of Exploration Geophysicists, 1986

RW725 RF ANTENNA SYSTEMS 3-0-0-3

Analysis techniques for designing reflector antennas - measurement technique - techniques for

designing beam-waveguide systems - Deep-space station - Reflex-dichroic feed systems - L-

band distortion compensation - Multi-frequency operation - Antenna research system task -

Computational Electrodynamics - FDTD - FEM - MoM - Mobile Communication Systems -

Simulation - Transfer Function - Electromagnetic Bandgap Material - Gain Enhancement for

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Terahertz Planar - Spectrum Scarcity - Terahertz Communication Systems - Terahertz Planar

Antenna - Terahertz Wireless Communication


1. William A Imbriale, “Large Scale Antennas of Deep Space Networks”, Wiley, 2003

2. Arik D Brown, "Electronically Scanned Arrays MATLAB® Modeling and Simulation,"

CRC Press, 2012

3. Chandran Sathish, "Adaptive Antenna Arrays," Springer, 2004

4. Gustrau Frank and Manteuffel Dirk, "EM Modeling of Antennas and RF Components for

Wireless Communication Systems," Springer, 2006

5. Jha Kumud Ranjan and Singh Ghanshyam, "Terahertz Planar Antennas for Next

Generation Communication," Springer, 2014

RW726 GEOSPATIAL INTELLIGENCE 3-0-0-3

Geographic intelligence (GEOINT) - Categories of GEOINT - Multilevel GEOINT - GEOINT

cycle - Core areas of intelligence planning process - Support planning, operations,

communication and information systems, security - Semantic referencing of geosensor data and

volunteered geographic information - Spatial cyberinfrastructure: building new pathways for

geospatial semantics on existing infrastructures - Location-based access control using

semanticweb technologies - Topographic mapping data semantics through data conversion and

enhancement


1. Committee and Staff of the NRC, "Future US Worksforce for Geospatial Intelligence",

The National Academic Press, 2013

2. Ashish Naveen and Sheth Amit P, "Geospatial Semantics and the Semantic Web,"

Springer, 2011

3. Lakshmanan Valliappa, "Automating the Analysis of Spatial Grids," Springer, 2012

RW727 GEOANALYTICS 3-0-0-3

Introduction to geo spatial analysis - Data collection, processing and applications for geospatial

analysis - Fuzzy set theory in geospatial analysis - Thematic cartography and geovisualization -

Spatial prominence and spatial weights matrix in geospatial analysis - Geographically weighted

regression in geospatial analysis - Statistical and Graphical Foundation - Multi-layer perception

neural networks in geospatial analysis - GIS network model in geospatial analysis


1. Yuji Murayama, “Progress in Geospatial Analysis,” Springer, 2012

2. Terry A Slocum, Robert B McMaster, Fritz C Kessler, and Hugh H Howard., Thematic

Cartography and Geovisualization, Pearson Education, Inc., 2008

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3. Natalia Andrienko and Gennady Andrienko, "Exploratory Analysis of Spatial and

Temporal Data," Springer-Verlag, 2005

4. Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, and Stefan Wrobel,

Visual Analytics of Movement, Springer, 2013

RW728 DEEP SPACE REMOTE SENSING 3-0-0-3

Electromagnetics - Radio spectrum management - Deep Space Radio sources - Characteristics of

deep-space radio waves (the radio sky), and changes during propagation from source of origin -

Contemporary and futuristic radio telescope systems: Design, ICT infrastructure - Data

acquisition schemes - Data formats & archiving schemes - Radio imaging - Reduction and

analysis algorithms - Software development: parameterization, calibrating, data processing &

software engineering issues - Delay-Doppler image of the solar system; Multidimensional

Imaging Radar Data Visualization


1. Thomas L. Wilson, Kristen Rohlfs and Susanne Hüttemeister , “Tools of Radio

Astronomy”, Springer, 2009

2. L.E. Kopilovich and L.G. Sodin, “Multielement System Design in Astronomy and Radio

Science ”, Springer, 2001

3. John D Kraus, “Radio Astronomy”, Tata McGraw-Hill Inc., 1996

4. A Richard Thompson, James M Moran, and George W Swenson Jr, “Interferometry and

Synthesis in Radio Astronomy”, Wiley, 2001

5. Gerrit L. Verschuur, “Galactic and Extragalactic Radio Astronomy", Springer-Verlag,

1991

RW729 SOFTWARE DEFINED RADIO 3-0-0-3

Software Defined Radio (SDR) Fundamentals – Need for Software Defined Radio – Software

Defined Radio Capabilities and Applications - SDR concept - Operational Requirements and

Reconfigurability – SDR RF implementation issues - SDR architectures – Required hardware

specifications – Digital aspects of Software Defined Radio – Current technology limitations –

Impact of superconducting technologies on future SDR systems , SDR Receiver architecture

options - Implementation of Digital Receivers - Pulse shaping Designs– Modulation techniques

– PAM, QAM transceivers- Phase locked loop– OFDM transceiver – Spread spectrum

principles – Carrier acquisition and tracking – Timing recovery – Adaptive signal processing

algorithms for SDR - Transceiver system analysis and design parameters , Introduction to Multi-

rate Signal Processing – basics of sample rate conversion - Efficient Structures for Decimation

and Interpolation Filters – Digital Filters design and implementation – Arbitrary sampling rate

conversion – Analog to Digital and Digital to Analog converters for SDR – Converter noise

budget and Dynamic range budget – Digital frequency up and down converters , Introduction to

development tools for SDR – GNU radio – Universal Software Radio Peripheral - Applications

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of SDR – Spectrum Analyzer - FM Transmission / Reception – GSM Receiver using SDR –

Global Positioning System- Cognitive Radio – Spectrum Sensing using SDR


1. Jeffrey.H.Reed, Software Radio: A Modern Approach to Radio Engineering, Prentice

Hall PTR, 2002

2. Peter B. Kenington, RF and Baseband Techniques for Software Defined Radio, Artech

House Inc., 2005

3. Tony J. Rouphael, RF and Digital Signal Processing for Software-Defined Radio: A

Multi-Standard Multi-Mode Approach, Elsevier Inc., 2009.

4. Behrouz Farhang-Boroujeny, Signal Processing Techniques for Software Radios, Lulu

Publishing House, 2008

MA709 PROBABILITY AND GRAPHICAL MODELS 3-0-0-3

General description: Logical development of probability and some basic issues in statistics.

Probability spaces, random variables and their distributions and expected values, conditional

probability, Bayes theorem, concept of entropy, law of large numbers and central limit theorem,

generating functions, Random number generation from various distributions, sampling

sufficiency, estimation, Maximum likelihood estimation, Expectation maximization stochastic

process, Markov chain, Hidden Markov model, Conditional random fields. Applications in areas

like speech processing and image processing, sparse signal recovery with graphical models,

Message Passing Algorithms.


1. Gentle James E., Härdle Wolfgang K. and Mori Yuichi (Eds.), Handbook of

Computational Statistics, Springer, 2004.

2. Geof H. Givens and Jennifer A. Hoeting, Computational Statistics, John Wiley and Sons,

New York, 2005.

RW730 PRINCIPLES OF COMMUNICATION ENGINEERING 3-0-0-3

Element of Communication system-Fourier analysis-Sampling theorem-Filtering and Signal

distortion-Spectral density and correlation-Random process-Continuous wave modulation-

Amplitude modulaton-Angle modulation-Nonlinear effects-Super heterodyne receiver-Noise in

CW modulation and receivers,Fundamental limits on performance-Sources and channels in

communications-Detection and estimation –Matched filter-Maximum likelihood estimation-

Weiner filter-Pulse modulation-sampling process-Pulse amplitude modulation-Other forms of

pulse modulations-Quantization process-Pulse code modulation-Digital multiplexers-Delta

mmodulation-Differntial schemes. Digital modulation schemes-Binary modulation formats-

Quadrature modulation formats-M-ary modulation techniques-Intersymbol interference-

Synchronization-Signal space analysis –Multi channel modulation-Spread spectrum modulation-

Multi user radio communication

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1. Simon Haykin, Digital Communication, Eigth Edition, John Wiley & Sons, 2007

2. Simon Haykin, An Introduction to Analog and Digital Communication, John Wiley &

Sons, 2008

RW731 BIOMEDICAL IMAGING 3-0-0-3

Fundamentals of images and image processing- Ultrasonography- Color Doppler-

Echocardiography and fetal monitor- X-Rays- Scanners(CT.MRI, PET,SPECT); Physical

Principles- Instrumental Design- Data Acquisition Strategies- 2-D- 3-D image reconstruction

techniques- clinical application of each modality, recent developments; General image

characteristics like spatial distribution and signal to noise ratio


1. Webb A.G., Introduction to Biomedical Imaging, Wiley IEEE Press, 2002

2. Jerrold T. Bushberg, J. Anthony Seibert, Edwin M. Leidholdt Jr. and John M. Boone, The

Essential Physics of Medical Imaging, Second Edition, Lippincott Williams and Wilkins,

2002

3. Jerry L. Prince and Jonathan Links, Medical Imaging Signals and Systems, Prentice Hall,

2005

4. Atam P. Dhawan, Medical Image Analysis, Wiley IEEE Press, 2003

RW732 WIRELESS COMMUNICATION 3-0-0-3

Overview of Wireless Communication – Wireless Channel – Physical Modeling of Wireless

Channel – Path loss and Shadowing – Statistical Multipath Channel – Capacity of Wireless

Channels – AWGN Channel Capacity – Capacity of Fading Channels , Point –to-Point

Communication – Detection – Diversity – Equalization - Channel Uncertainty – MIMO – Spatial

Multiplexing and Channel Modeling – Capacity and Multiplexing Architectures – Diversity –

Multiplexing Tradeoff – Universal Space Time Codes , Multicarrier Modulation – Cellular

Systems and Interference Management – Multiuser Systems – Capacity and Opportunistic

Communication – MIMO Multiuser – Ad-hoc Wireless Networks


1. David Tse, PramodViswanath , Fundamentals of Wireless Communication, Cambridge


2. Andrea Goldsmith, Wireless Communication, Cambridge University Press, 2005.

3. Theodre.S.Rapapport, Wireless Communications-Principles and Practice, Second

Edition, Prentice Hall Inc., 2008.

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CN727 ADVANCED GPU COMPUTING FOR IMAGING AND VISION 3-0-0-3

Evolution of GPU computing(Vision)-10-Series Architecture-CUDA Features for Image and

Video-Programming for CUDA-GPU Panorama Stitching-Imaging Pipeline: Panorama

Stitching-Radial Distortion Removal- Corner Detection- Feature Detection-Modified Shi-Tomasi

– Corner Detection: Dynamic Method- Dynamic Feature Detection-Pixels to Points:

Histopyramids- GPU Histopyramids- Histopyramids- Generating Descriptors-Feature Descriptor

Computation- Feature Matching(SIFT Descriptor)- GPU Laplacian Pyramids- NVPP: Image

Processing Primitives- NVPP Performance- Frequency Domain Processing- cuFFT: CUDA FFT

Libraries- GrabCuts:CUDA Graph Cuts-3rdParty Research & Libraries-GPU Imaging-GPU

Imaging & Vision Summary


1. James Fung, Advances in GPU-Based Image Processing and Computer Vision, NVDIA

Tech Talks, 2009

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