E&TC FY.pdf - Rajarshi Shahu College of Engineering

JSPM’s RAJARSHI SHAHU COLLEGE OF ENGINEERING

TATHAWADE, PUNE-33 (An Autonomous Institute Affiliated to Savitribai Phule Pune University,Pune)

Department of Electronics and

Telecommunication Engineering Structure and Syllabi

F.Y. M. Tech. (2019 Pattern) w.e.f. Academic Year 2020-2021

Dr.B.D.Jadhav Dr. Mrs. S.V. Kedar Dr. R. K. Jain

B.O.S. Chairman Dean Academics Director RSCOE, Pune 1



Department of Electronics and Telecommunication

Engineering

Vision

“

Mission

To entrust the students with fundamentals of Electronics and Telecommunication Engineering for successful carrier

To enable students to pursue higher education, research and promote Entrepreneurship

To serve the nation through techno-social development.

Vision “To create an educational environment to meet the challenges of modern Electronics and Telecommunication engineering industry through state of art technical knowledge and innovative approach”.




TATHAWADE, PUNE-33 (An Autonomous Institute Affiliated to Savitribai Phule Pune

University, Pune)

Department of Electronics and TelecommunicationEngineering Program Outcomes (POs)

Engineering Graduates will be able to: 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. 3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. 4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. 6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. JSPM’s Rajarshi Shahu College of Engineering Department of IT Engineering 7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. 11.Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. 12.Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. Department of Electronics and Telecommunication Engineering

Program Specific Outcomes (PSOs) Upon successful completion of UG course in Information Technology, the students will attain following Program Specific Outcomes:

1. Graduate will demonstrate the ability to apply knowledge of Electronics and Telecommunication to identify, formulate and solve Engineering problems useful to society.

2. Graduate will demonstrate an ability to design, implement and analyze various functional elements of Electronics and Telecommunication domain, interpret data and work with multidisciplinary approach.

3. Graduate will demonstrate the analytical and managerial skills with a virtue of continued learning; carry out the professional and entrepreneurial responsibilities in Electronics and Telecommunication Engineering field considering environmental issues.




TATHAWADE, PUNE-33 (An Autonomous Institute Affiliated to SavitribaiPhule Pune

University,Pune)

Highlights of the Syllabus

Curriculum of Electronics and Telecommunication Engineeringcourse is designed in consultation with

The salient features of curriculum designed in associationwith KPIT, Nayan Electronics and Matrix automations.




TATHAWADE, PUNE-33 (An Autonomous Institute Affiliated to SavitribaiPhule Pune

University,Pune)

Unique features of the curriculum

1. Curriculum centered at Outcome Based Education: The new Curriculum is based on student-centered instruction models that focus on measuring student performance through outcomes. The outcomes include subject knowledge, industry required skills and attitudes.

2. Emphasize on Advanced courses: The nature of the new curriculum is rigorous and well prescribed so that the students can spend more time on preparation and self-study. This will benefit them to grasp and get expertise in the most effective way.

3. Promote Creativity and Innovation: Along with experiential learning, the curriculum also motivates the students to inculcate creativity and innovation. Apart from conventional lab, the curriculum provides a freedom for students to perform industry assignments, pilot projects, innovative development, etc.

4. Three Tracks in M-Tech: The curriculum provides three tracks in the curriculum as

I. VLSI II. Embedded System II. Signal Processing

5. Industry Induced Internship Program

To support ever demanding industry requirements, the curriculum has included an industry internship with an objective to learn technologies pertaining to their discipline and enhance their technical knowledge with a support of the live platform of Industry.

6. Motivation for Self Learning:

The curriculum also offers a freedom to students to take the initiatives in their learning needs and set the goals with the help of online learning platforms like MOOCs, NPTEL, Swayam, etc.




TATHAWADE, PUNE-33 (An Autonomous Institute Affiliated to Savitribai Phule Pune

University,Pune)

F. Y. M. Tech. (VLSI and Embedded Systems)

Semester-I

Course Code

Course

Teaching Scheme Semester Examination Scheme of Marks Credits

TH TU PR ISE (15)

MSE (25)

ESE (60)

TW PR OR TOTAL

TOTAL

EC5101 Digital CMOS Design 4 -- -- 15 25 60 -- -- -- 100 4

EC5102

Embedded System Design

3 -- -- 15 25 60 -- -- -- 100 3

EC5105

Research Methodology and Intellectual Property Rights

3 -- -- 15 25 60 -- -- -- 100 3

EC5103 Elective-I 3 -- -- 15 25 60 -- -- -- 100 3

EC5104 Elective-II 3 -- -- 15 25 60 -- -- -- 100 3

EC5106 Lab Practice I -- -- 4 -- -- -- 50 - 50 100 2

EC5107 Online course/

certification -- -- 4 -- -- -- 50 - 50 100 2

EC5108 Audit Course -- -- -- -- -- -- -- -- -- -- --

Total 16 -- 8 75 125 300 100 - 100 700 20



F. Y. B. Tech. (Electronics &Telecommunication Engineering) Semester-I

Elective-I Elective-II

Code No. Title Code No. Title

EC5103A IC Design with HDL EC5104A Nan electronics

EC5103B Embedded Automotive System EC5104B Embedded Product Design

EC5103C Image and Video Processing

EC5104C Speech and Audio Processing



Name of Audit Courses

EC5108 Technical Paper writing ME5107 Value Education In Engineering

CE5107

Disaster Management CS5108 Constitution of India





S. Y. B. Tech. (Electronics &Telecommunication Engineering)

Semester-II

Course Code

Course

Teaching Scheme

Semester Examination Scheme of Marks Credits

TH TU PR ISE (15)

MSE (25)

ESE (60)

TW PR OR TOTAL TOTAL

EC5109 Analog IC Design 3 -- -- 15 25 60 -- -- -- 100 3

EC5110 Embedded Signal Processor Architecture

3 -- -- 15 25 60 -- -- -- 100 3

ES5104 Advance Engg. Mathematics 4 -- -- 15 25 60 -- -- -- 100 4

EC5111 Elective-III 3 -- -- 15 25 60 -- -- -- 100 3

EC5112 Elective-IV 3 -- -- 15 25 60 -- -- -- 100 3

EC5113 Lab Practice II

-- -- 4 -- -- -- 50 -- 50 100 2

Total 16 -- 4 75 125 300 50 -- 50 600 18





Select Any One

Elective-III Elective-IV

Code No. Title Code No. Title

EC5111A Advanced Signal Processing Technology

EC5112A MEMS and NEMS

EC5111B Artificial Intelligence and

Machine Learning EC5112B Multirate signal Processing

EC5111C Design for Testability EC5112C Industrial IOT



Subject Code Title Page No Semester -I

EC5101 Digital CMOS Design 11

EC5102 Embedded System Design 14

EC5105 Research Methodology and Intellectual Property Rights 17

EC5103A IC Design with HDL 20

EC5103B Embedded Automotive System 23

EC5103C Image and Video Processing 26

EC5104A Nan electronics 29

EC5104B Embedded Product Design 32

EC5104C Speech and Audio Processing 35

Semester-II

EC5109 Analog IC Design 40

EC5110 Embedded Signal Processor Architecture 43

ES5104 Advance Engineering Mathematics 46

EC5111A Advanced Signal Processing Technology 49

EC5111B Artificial Intelligence and Machine Learning 51

EC5111C Design for Testability 54

EC5112A MEMS and NEMS 57

EC5112B Multirate signal Processing 60

EC5112C Industrial IOT 63







SEMESTER I Syllabus





F.Y.M. Tech (VLSI and Embedded System)

Academic Year – 2020-2021 Semester -I [EC5101]: Digital CMOS Design

Teaching Scheme: TH: 04 Hours/Week

Credit 04

Examination Scheme: In Sem. Evaluation: 15 Marks

Mid Sem. Exam. : 25 Marks

End Sem. Exam : 60 Marks

Course Prerequisites: Physical and Fundamental properties of semiconductor devices, Band diagram

concept, Fermi Energy level, p type and n type properties of semiconductor and their junctions.

Course Objective:

1. To learn MOSFET models and layout fundamentals

2. To nurture students understanding in performance parameters of digital CMOS design

3. To understand the delay model

4. To study the advanced trends in MOSFET

Course Outcome:

After successful completion of the course, students will able to:

CO1: Express basic fundamentals of MOSFET to prepare basic gates design using CMOS technology.

CO2: Ability to design different CMOS circuits using various logic families along with circuit layout.

CO3: Ability to use tools for VLSI IC design.

CO4: Express the different types delay of MOSFETs



Course Contents

UNIT-I MOSFET Models 06 Hours

MOS Capacitance models, MOS Gate Capacitance Model, MOS Diffusion Capacitance Model. Non ideal

I-V Effects, MOSFET equivalent circuits and analysis, Parasitic; Technology scaling; Lambda parameter;

wiring parasitic; SPICE Models

UNIT-II MOSFET Layout 06 Hours

CMOS layout techniques; Transient response. CMOS Technologies: Layout Design Rules CMOS Process

Enhancements: Transistors, Interconnect, Circuit Elements, Beyond Conventional CMOS. CMOS

Fabrication and Layout: Inverter Cross-section, Fabrication Process, Stick Diagrams.

UNIT-III Performance Parameters 08 Hours

Transistor as a switch, Inverter characteristics, Integrated circuit layout: design rules, parasitic, static

CMOS logic: Inverter, NAND and NOR gate, Multiplexers and flip flop, calculate active area on chip.

UNIT-IV RC Delay 08 Hours

Static, dynamic and short circuit power dissipation, Propagation delay, power delay product, Delay

estimation: RC Delay model, linear delay model, logical efforts, parasitic delay, Interconnect:

Resistance, capacitance, delay, cross talk. Design margin.

UNIT-V Circuit Families 08 Hours

Circuit families: static CMOS, Ratioed circuit, Dynamic circuits, Domino logic, NORA logic, Low

power logic design, Techniques for low power, High speed design.

UNIT-VI Advanced Trends 06 Hours

Different types of MOSFETs, Material for performance improvement, Fin FET, Junction less Transistor,

Gate-all-around MOSFET and characteristics.



BOOKS:

Text:

T1: Neil Waste and Kamara, “Principles of CMOS VLSI Design”, 4TH Edition, Education Asia.

T2: S-M. Kang and Y. Leblebici, CMOS Digital Integrated Circuits: Analysis and Design, Third Edition,

McGraw-Hill.

References:

R1: M. Rabaey, A. Chandrakasan and B. Nikolic, Digital Integrated Circuits: A Design Perspective,

Pearson (Low Price Edition).

R2: S-M. Kang and Y. Leblebici, CMOS Digital Integrated Circuits: Analysis and Design, Third Edition,

McGraw-Hill.

R3: Samir Palnitkar, “Verilog HDL – A Guide to Digital Design and Synthesis”, PHI.

R4: Introduction to Nanotechnology, Sulabha Kulkarni.





F.Y.M. Tech Semester- I (VLSI and Embedded System)

Academic Year – 2020-2021 Semester -I [EC5102]: Embedded System Design


Credit 03

Examination Scheme: In Sem. Evaluation : 15 Marks

Mid Sem. Exam : 25 Marks


Total :100 Marks Prerequisites Course :Fundamentals of Microcontrollers, Basic concepts of operating system with the

concepts of embedded C programming knowledge.

Course Objective:

1. To understand various design issues in embedded systems

2. To apply programming concepts of ARM 9

3. To learn embedded LINUX operating system

4. To make aware of the significance of embedded network processors

Course Outcome:


CO1. Design ARM Processor based Embedded Systems

CO2. Write Programme in Embedded in C

CO3. Design device drivers using Linux operating system

CO4. Understand attributes of Network Protocol.



Course Contents

UNIT-I Introduction to Embedded Systems 07 Hours

Introduction to Embedded Systems: Introduction to Embedded Systems, Architecture of Embedded

System, Design Methodology, Design Metrics, General Purpose Processor, System On chip.

Embedded system design and development:Embedded system design, Life-Cycle Models,

Development tools, Introduction to Development Platform Trends (only introduce IDE, board

Details and Application) Arduino, Beaglebone, Rasberry PI, Intel Galileo Gen 2.

UNIT-II ARM CORTEX series 06 Hours

ARM CORTEX series features, Improvement over classical series, CORTEX ARM processors series,

Features and applications, Survey of CORTEX based controllers from various manufacturers.

UNIT-III ARM-M3 Based Microcontroller LPC1768 08 Hours

ARM-M3 Based Microcontroller LPC1768 Features, Architecture block diagram & its description,

System Control, Clock & Power Control, Pin Connect Block. CMSIS Standard, Bus Protocols Ethernet,

CAN, USB, Bluetooth.

UNIT-IV Embedded Linux 08 Hours

System architecture, BIOS versus bootloader, Booting the kernel, Kernel initialization, Space

initialization, Boot loaders and Storage considerations.

UNIT-V Linux kernel construction 08 Hours

Interrupt and exception, Object interface, Multi-Processor Architecture, Kernel build system,

Obtaining a custom Linux kernel, File systems, Device drivers, Kernel configuration.

UNIT-VI Embedded System Design Case Studies 06 Hours

Design Case Studies like Automated Meter Reading Systems (AMR), Digital Camera, Certification and

documentation: Mechanical Packaging, Testing, reliability and failure analysis, Certification (EMI / RFI)

and Documentation. Study of any two real life embedded products in detail.

BOOKS:



Text:

T1:Noergaard Tammy, “Embedded Systems Architecture”, Elsevier Publication.

T2:Hallinan Christopher, “Embedded Linux Primer: A Practical Real-World Approach”, Second

Edition, Pearson Education.

References:

R1: Shibu, “Introduction to Embedded Systems”, second edition TMH.

R2: Comer D E, “ Network System Design using Network Process”, PHI. First edition

R3: .Croeley Patrick, Franklin M. A ,Hadimioglu H &Onufryk P Z, ”Network Processor Design,

Issues and Practices”, vol-1-2, Elsevier.

R4:Uyless Black,” Computer Networks-Protocols,StandardsInterfaces”,Second Edition PHI.






Academic Year – 2020-2021 Semester -I [EC5105]: Research Methodology and IPR


Credit 03




Total :100 Marks Course Prerequisites: This is a mandatory course for PhD students at the Faculty of Engineering. The

basic knowledge of various domains in Electronic.

Course Objective:

1. The Objective of this course is to make students learn and understand basic Concepts of research

methodology.

2. The process of literature review, writing of research report. and forming of practical engineering

problems.

3. designing of its solutions effectively and meaningfully. To understand various aspects of

intellectual property.

Course Outcome:


CO1 : Give an overview of the research methodology and explain the technique of defining a research

problem.

CO2 : Explain carrying out a literature search, its review, developing theoretical and conceptual

frameworks and writing a review.

CO3 : Explain various research designs and their characteristics



CO4: Explain the art of interpretation and the art of writing research reports.

CO5 : Explain various forms of the intellectual property, its relevance and business impact in

thechanging global business environment

CO6: Discuss leading International Instruments concerning Intellectual Property Rights.

Course Contents

UNIT-I Research Methodology 07 Hours

Introduction, Meaning of Research, Objectives of Research, Motivation in Research, Types of Research,

Research Approaches, Significance of Research, Research Methods versus Methodology, Research and

Scientific Method, Importance of Knowing How Research is Done, Research Process, Criteria of Good

Research, and Problems Encountered by Researchers in India. Defining the Research Problem: Research

Problem, Selecting the Problem, Necessity of Defining the Problem, Technique involved in Defining a

Problem.

UNIT-II Reviewing the literature 07Hours

Place of the literature review in research, Bringing clarity and focus to your research problem, Improving

research methodology, Broadening knowledge base in research area, Enabling contextual findings, How

to review the literature, searching the existing literature, reviewing the selected literature, Developing a

theoretical framework, Developing a conceptual framework, Writing about the literature reviewed.

Research Design: Meaning of Research Design, Need for Research Design, Features of a Good Design,

Important Concepts Relating to Research Design, Different Research Designs, Basic Principles of

Experimental Designs, Important Experimental Designs.

UNIT-III Design of Sampling 06 Hours

Introduction, Sample Design, Sampling and Non-sampling Errors, Sample Survey versus Census



Survey, Types of Sampling Designs. Measurement and Scaling: Qualitative and Quantitative Data,

Classifications of Measurement Scales, Goodness of Measurement Scales, Sources of Error in

Measurement Tools, Scaling, Scale Classification Bases, Scaling Technics, Multidimensional Scaling,

Deciding the Scale. Data Collection: Experimental and Surveys, Collection of Primary Data, Collection of

Secondary Data, Selection of Appropriate Method for Data Collection, Case Study Method.

UNIT-IV Testing of Hypotheses 06 Hours

Hypothesis, Basic Concepts Concerning Testing of Hypotheses, Testing of Hypothesis, Test Statistics and

Critical Region, Critical Value and Decision Rule, Procedure for Hypothesis Testing, Hypothesis Testing

for Mean, Proportion, Variance, for Difference of Two Mean, for Difference of Two Proportions, for

Difference of Two Variances, P-Value approach, Power of Test, Limitations of the Tests of Hypothesis.

Chi-square Test: Test of Difference of more than Two Proportions, Test of Independence of Attributes,

Test of Goodness of Fit, Cautions in Using Chi Square Tests.

UNIT-V Interpretation and Report Writing 08 Hours

Meaning of Interpretation, Technique of Interpretation, Precaution in Interpretation, Significance of

Report Writing, Different Steps in Writing Report, Layout of the Research Report, Types of Reports, Oral

Presentation, Mechanics of Writing a Research Report, Precautions for Writing Research Reports.

UNIT-VI Intellectual Property 06 Hours

Introduction to IPR, Types of IPRs, Types of Patents, WIPO, WTO, TRIPs, Protection of Undisclosed

Information, Enforcement of Intellectual Property, Office procedures of filing and prosecution

BOOKS:

Text:

T1: An introduction to Research Methodology, Garg B.L et al ,RBSA Publishers 20022.An Introduction

to Multivariate Statistical Analysis Anderson T.W,Wiley 3rdEdition, 2003.






Academic Year – 2020-2021 Semester -I [EC5103A]: IC Design with HDL


Credit 03




Total :100 Marks Course Prerequisites:Basic programming concepts, Logic gates combinational design. Knowledge of

algorithms and flowchart, use of variable and signals, FPGA blocks.

Course Objective:

1. To study Basics of analog IC designing and small signal models.

2. To understand the design principles of different types of amplifier.

3. To learn different types of op-amps

4. To understand the implementation of linear and non – linear analog block implementation and their

testing

Course Outcome:


CO1: Developed ability to design analog building blocks of VLSI circuit.

CO2: student will able to design different types of amplifiers.



CO4: Express basic fundamentals of current mirrors.

CO3: Developed ability to build SPICE deck of MOS integrated circuits.

Course Contents

UNIT-I Introduction to VHDL 06 Hours

Basic concepts of hardware description languages. Hierarchy, Concurrency, Logic and Delay

modeling. Data objects, Data types, Architecture selection, configuration statements, power of

configuration.

UNIT-II Behavioral Modeling 08 Hours

Behavioral styles of hardware description. Inertial delay, transport delay, Architecture of event driven

simulators. Generics, Block statements, Test bench types.

UNIT-III Sequential Processing 06 Hours

Process statement, sensitivity list, Signal assignment v/s Signal variable, Sequential statement, Wait

statement, Exit and Assert statement.

UNIT-IV Syntax of HDL 06 Hours

Syntax and Semantics of HDL: Variable and signal types, arrays and attributes. Operators, expressions

and signal assignments. Entities, architecture specification and configurations. Component

instantiation.

UNIT-V Subprograms and packages 07 Hours

Subprogram: function, conversion function, resolution function, packages: package declaration, package

body, Sub program overloading, parameters overloading, synthesis, constraints and attributes, Technology

library.



UNIT-VI Procedure and Functions 07 Hours

Concurrent and sequential constructs. Use of Procedures and functions, Examples of design using

VHDL or Verilog. Synthesis of logic from hardware description.

BOOKS:

Text:

T1.Allen P E and Holberg D R, “CMOS Analog Circuit Design”, 2ndEdition, Oxford University

Press.

T2. B. Razavi, “Design of Analog CMOS Integrated Circuits”, 2nd Edition, Prentice-Hall, 1998.

References:

R1. R. Jacob Baker, “CMOS Circuit Design, Layout and Simulation”, 4th edition Wiley, 2005.

R2. M. Ismail, “Analog VLSI: Signal and Information Process”, 3rd edition, McGraw-Hill, 1994.

R3. P.R. Gray and R.G. Meyer, Analysis and design of Analog Integrated circuits, 3rdEdition, John Wiley

and Sons, 1993.

R4. Behzad Razavi, “RF Microelectronics”, 2nd Edition, Prentice-Hall PTR,1998",






Academic Year – 2020-2021 Semester -I [EC5103B]: Embedded Automotive Systems


Credit 03




Total :100 Marks Course Prerequisites:Fundamentals of Sensor technology, Basic concepts of communication protocols,

Concepts of Vehicular system.

Course Objective:

1. To introduce the potential of automotive systems in industries

2. To understand Automotive Sensory Systems

3. To explain the importance of automotive control in system design

4. To make student aware of different Automotive protocolsfor internal communication

Course Outcome:

After successful completion of the course, students will able to: On completion of the course,

student will be able to -

CO1:Realize the fundamentals of different Automotive Systems

CO2: Learn utility of sensors and instrumentation in vehicle systems

CO3: Design control system for various vehicular Units

CO4: Acquire knowledge of various automotive protocols

Course Contents



UNIT-I Automotive Systems 08 Hours

Automotive systems overview :automotive vehicle technology, overview of vehicle categories,

various vehicle sub systems like chassis, body, driveline, engine technology, fuelling technology,

vehicle emission, brakes, suspension, emission, doors, dashboard instruments, wiring harness,

safety & security , comfort & infotainment, communication & lighting, future trends in automotive

embedded systems : hybrid vehicles, electric vehicles.

UNIT-II Automotive Sensory System 08 Hours

Automotive sensory system: automotive sensors and transducers: temperature, manifold and

barometric pressures, humidity, carbon dioxide (co2), carbon monoxide (co), oxygen (o2) sensor,

proximity distance sensors, engine speed sensor, throttle position sensor, pressure sensors, knock

sensor & mass flow sensor. typical sensors specifications & microcontroller interface

considerations, sensor calibration, curve fitting.

UNIT-III Automotive Control System 06 Hours

Automotive control system design: digital engine control, features, control modes for fuel control,

discrete time idle speed control, egr control, variable valve timing control.

UNIT-IV Engine Control System 06 Hours

Electronic ignition control, integrated engine control system, summary of control modes, cruise

control system, cruise control electronics, anti-locking braking system, electronic suspension

system, electronic steering control, four-wheel steering.

UNIT-V Automotive Protocols 06 Hours

Automotive Protocols: the need for protocol, automotive protocols: lin, can, kwp2000 & j1939,

flex ray.

UNIT-VI Software Tools for Automotive System 06 Hours

Calibration and diagnostics tools for networking of electronic systems like ecu software and testing



tools, ecu calibration tools, vehicle network simulation. advanced trends in automotive electronics:

autosar architecture.

BOOKS:

Text:

T1: William B. Ribbens, “Understanding Automotive Electronics- An Engineering Perspective”,

T2: Ronald K. Jurgen, “Automotive Electronics Handbook”, Mc-Graw Hill.

Reference:

R1: Kiencke, Uwe, Nielsen &Lars, “Automotive Control Systems for Engine, Driveline and

Vehicle”, Second edition, Springer Publication.

R2: Tao Zhang, Luca Delgrossi, “Vehicle Safety Communications: Protocols, Security and

Privacy”, Wiley Publication.

R3: Robert Bosch,” Automotive Handbook”, Fifth edition, SAE Publications.





F.Y.M. Tech (VLSI and Embedded System) Academic Year – 2020-2021 Semester -I

[EC5103C]: Image and Video Processing


Credit 03




Total :100 Marks Course Prerequisites: Fundamentals of digital signal processing.

Course Objective:

1. To learn basic concepts of image processing, fundamentals and mathematical models in digital

image and video processing.

2. To study different types of image transforms for image processing

3. To develop time and frequency domain techniques for image enhancement

4. To understand Image segmentation, restoration, and morphological signal Processing with

applications.

5. To expose the students to current applications, techniques and issues in image and video

processing.

6. To develop image and video processing applications in practice

Course Outcome:


CO1. To learn basic concepts of image processing, fundamentals and mathematical models in

Digital image and video processing.

CO2. To study different types of image transforms for image processing



CO3. To develop time and frequency domain techniques for image enhancement

CO4. To understand Image segmentation, restoration, and morphological signal Processing

With applications.

CO5. To expose the students to current applications, techniques and issues in image and video

Processing.

CO6. To develop image and video processing applications in practice.

Course Contents

UNIT-I Fundamentals of Image processing and Image Transforms 06 Hours

Basic steps of Image processing system sampling and quantization of an Image – Basic relationship

between pixels Image, Basic operations on images-image addition, subtraction, logical operations,

scaling, translation, rotation. Image Histogram. Transforms: 2 – D Discrete Fourier Transform, Discrete

Cosine Transform (DCT), Discrete Wavelet ransforms, Haar, Hadamard, PCA

UNIT-II Image Processing Techniques 06 Hours

Image Enhancement: Spatial Domain methods: Histogram Processing & Specification, Fundamentals of

Spatial Filtering, Smoothing Spatial filters, Sharpening Spatial filters Frequency Domain methods: Basics

of filtering in frequency domain, image smoothing, image sharpening, selective filtering Image,

Segmentation: segmentation– average, weighted average, first order and second order, Hough transform,

Thresholding.

UNIT-IIIImage registration06 Hours

Operational goal of registration, Classification of registration methods - Geometrical transformations,

Rigid transformations, Nonrigid transformations, Rectification, Point-based methods, Points in rigid

transformations, Points in scaling transformations, Points in perspective projections, Points in curved

transformations, Surface-based methods, Disparity functions, Head and hat algorithm, Distance

definitions, Distance transform approach, Iterative closest point algorithm, Weighted geometrical feature

algorithm, Intensity-based methods, Similarity measures.



UNIT-IVColour Image processing06 Hours

Color Models, Pseudocolor Image Processing, Basics of Full-Color Image Processing, Color

Transformations , Formulation ,Color Complements , Color Slicing , Tone and Color Corrections,

Histogram Processing , Smoothing and Sharpening , Color Image Smoothing , Color Image

Sharpening , Image Segmentation Based on Color , Segmentation in HSI Color Space ,

Segmentation in RGB Vector Space , Color Edge Detection , Noise in Color Images , Color Image

Compression.

UNIT-V Image Morphology 06 Hours

Basics, SE, Erosion, Dilation, Opening, Closing, Hit-or-Miss Transform, Boundary Detection, Hole

filling, connected components, convex hull, thinning, thickening, skeletons, pruning, Geodesic Dilation,

Erosion, Reconstruction by dilation and erosion.

UNIT-VI Basic Steps of Video Processing 06 Hours

Analog video, Digital Video, Time varying Image Formation models : 3D motion models, Geometric

Image formation , Photometric Image formation, sampling of video signals, filtering operations,2-D

Motion Estimation: Optical flow, general methodologies, pixel based motion estimation, Block matching

algorithm, Mesh based motion Estimation, global Motion Estimation, Region based motion estimation,

multi resolution motion estimation. Application of motion estimation in video coding.

BOOKS:

Text:

T1:Gonzaleze and Woods,” Digital Image Processing “, 3rd edition, Pearson

T2:Yao Wang, JoemOstarmann and Ya – quin Zhang, ”Video processing and communication“, 1st

edition , PHI

References:

R1:. M. Tekalp ,”Digital video Processing”, Prentice Hall International






Academic Year – 2020-2021 Semester -I [EC5104A]: Nanoelectronics


Credit 03




Total :100 Marks Course Prerequisites :Hybridization in semiconductor material, nano properties and physics of

semiconductor, semiconductor devices and its band theory.

Course Objective:

1. To get introduced to Nanoelectronics and nanotechnology.

2. To understand working of Nano scale transistor.

3. To understand modelling aspects of Nanoscale devices from perspective of circuit Course

4. To study the fabrication technology of nanoscale devices

Course Outcome:


CO1: Building molecular level devices and systems.

CO2: Design of Carbon-based Nano-electronic devices.

CO3: Express basic fundamentals of nanoscale devices.

CO4: Student will able to analyze fabrication techniques of nanoscale device.

Course Contents



UNIT-I Introduction to Nanoelectronics 06 Hours

Band structures in Silicon, Historical development and basic concepts of crystal structure, defects,

Crystal growth and wafer fabrication, crystal planes and orientation. Modern CMOS technology.

UNIT-II Material in Nanotechnology 08 Hours

The fundamental science behind nanotechnology, bio systems, molecular recognition, quantum mechanics

& quantum ideas, optics. Smart materials & Sensors, self-healing structures, heterogeneous

nanostructures& composites, encapsulations, natural nano-scale sensors, electromagnetic sensors,

biosensors, electronic noses.

UNIT-III Band Theory of Solids 08 Hours

Band Theory of Solids. Kronig-Penny Model. Brillouin Zones. Shrink-down approaches: Introduction,

CMOS Scaling, The nanoscale MOSFET, Finfets, Vertical MOSFETs, limits to scaling, system

integration limits (interconnect issues etc).

UNIT-IV Nanoelectronics devices 06 Hours

Resonant Tunneling Diode, Single electron transistors, Carbon nanotube electronics, Band structure

and transport, devices, applications 2D semiconductors, Graphene, transition metal dichalcogenides,

atomistic simulations.

UNIT-V Fabrication Techniques 06 Hours

Low Temperature Scanning Probe Microscopy, Dynamic ForceMicroscopy.-. Nanolithography,



Lithography using photons, electron beams soft lithography. Bio-medical applications.

UNIT-VI Measurement methods and Tools 08 Hours

Electron microscopy, Atomic Force Microscope, X-Ray photoelectron Spectroscopy, Profilometers,

Reflectometers.

BOOKS:

Text:

T1. Springer Handbook of Nanotechnology

T2. Rattner Mark, Rattner Daniel, “Nanotechnology: A Gentle Introduction to the Next Big Idea”

References:

R1. KulkarniSulbha K, “Nanotechnology: Principals& Practices”, Capital Publications

R2. VlaimirMitin, “Introduction to nanoelectronics science, Nanotechnology, Engineering and

Applications”, Cambridge. University Press

R3. G.W. Hanson, Fundamentals of Nanoelectronics, Pearson, 2009.

R4. K.E. Drexler, Nanosystems, Wiley, 1992.

R5. J.H. Davies, The Physics of Low-Dimensional Semiconductors, Cambridge University Press,1998.






Academic Year – 2020-2021 Semester -I [EC5104B]: Embedded Product Design


Credit 03




Total :100 Marks Course Prerequisites:Fundamentals of Design, Basic concepts of modeling

1. To outline the major components that constitute an embedded system

2. To Implement small programs to solve well-defined problems on an embedded platform

3. To Develop familiarity with tools used to develop in an embedded environment.

4. To understand real world interfacing with different embedded processor.

Course Outcome:


CO1: Describe and Analyze the hardware, software, components of embedded product design

CO2: Understand different components of anembedded processor and their interactions.

CO3: Become familiar with programming environment used to develop embedded systems.

CO4: Understand key concepts of embedded systems like IO, timers, interrupts, interaction with

peripheral devices.

CO5: Specify and Identify debugging techniques for an embedded system.

Course Contents



UNIT-I Introduction to Electronic Product Design 06 Hours

Man machine dialog and Industrial design, user-centered design, five element of successful design,

cognition, ergonomics. Packaging and factors, design for manufacture, assembly and disassembly, wiring,

temperature, vibration and shock. Safety, noise, energy coupling, grounding, filtering and shielding.

UNIT-II Hardware Design & testing methods 06 Hours

Design process. Identifying the requirements, formulating specifications, design specifications,

Specifications verses requirements, System partitioning, Functional design, architectural design,

Functional model verses architectural model. Prototyping. Performance and Efficiency measures.

Formulating a test plan, writing specifications, Test procedure and test cases, Egoless design, design

reviews. Unit debug and test: black box test, white box test, grey box test.

UNIT-III Software Design and Testing methods 06 Hours

Types of Software. Waterfall model of software development. Models, metrics and software limitations.

Risk abatement and failure preventions. Software bugs and testing. Good programming practice. User

interface. Embedded, Real time software.

UNIT-IV ARM CORTEX based design I 08 Hours

Need of operating system in developing applications in embedded system, desired features of operating

system & hardware support from processor, Firmware development using CMSIS standard for ARM

Cortex. ARM-CM3 Based interfacing with RGB LED, LCD, Keyboard, Seven Segment, TFT Display,

Sensors (Temperature & Weight measurement), MOTOR control using PWM.

UNIT-V ARM CORTEX based design II 07 Hours



Design of a Sensor-Based Adaptive Smart Home System Using ARM Cortex-M3, Design of a robotic

arm Using ARM Cortex-M3, ARM Based Embedded System for Industrial Application Using TCP/IP

Network, RFID based product design, GSM based product design.

UNIT-VI Real World Interfacing with ARM-CM3 Based Microcontroller 07 Hours

Concept of USB, CAN, and Ethernet based communication using microcontrollers. CAN, USB,

ETHERNET applications in embedded c.

BOOKS:

Text:

T1:Kim Fowler, Electronic Instrument Design, Oxford university press. ISBN 9780195083712,1996

T2:Robert J. Herrick, “Printed Circuit board design Techniques for EMC Compliance”, Second edition,

IEEE press.

T3:JosephYiu, “The Definitive Guide to the ARM Cortex-M”, Newness, ELSEVIER

References:

R1. James K. Peckol, “Embedded Systems – A Contemporary Design Tool”, John Wiley & Sons

publication, 2008

R2. J C Whitakar,” The Electronics Handbook”, CRC press.

R3. LPC 17xx User manual (UM10360) :- www.nxp.com

R4. ARM architecture reference manual: - www.arm.com 4. Trevor Martin,”AnEngineer‟s

Introduction to the LPC2100 series”, Hitex (UK) Ltd.






Academic Year – 2020-2021 Semester -I [EC5104C]: Speech and Audio Processing


Credit 03




Total :100 Marks Course Prerequisites:Basics of sound, Acoustics, Signal processing.

Course Objective:

To characterize the speech signal as generated by a speech production model To understand the motivation of short-term analysis of speech and audio To extract the information of the speech or audio signals in terms of cepstral features To provide a foundation for developing applications in this field

Course Outcome:


CO1: Analyze speech signal to extract the characteristic of vocal tract (formants) and vocal cords (pitch). CO2: Solve practical problems with some basic audio and speech signal processing

Techniques.

CO3: Design simple systems for realizing some multimedia applications with some basic audio and

speech signal processing techniques.

CO4: Implement algorithms for processing speech and audio signals considering the



properties of acoustic signals and human hearing

Course Contents

UNIT-I Speech signal digital model 07 Hours

Speech production, acoustic theory , lossless tube models ,digital models, linear prediction of speech,

auto correlation, formulation of LPC equation, solution of LPC equations, Levinson Durbin algorithm,

Levinson recursion, Schur algorithm, lattice formulations and solutions, PARCOR coefficients,

Spectral analysis of speech, Short Time Fourier analysis, filter bank design. Auditory Perception:

Psychoacoustics, Frequency Analysis and Critical Bands, Masking properties of human ear.

UNIT-II Speech coding 07 Hours

Sub-band coding of speech, transform coding, channel vocoder,formant vocoder, cepstralvocoder, vector

quantizer coder, Linear predictive Coder. Speech synthesis, pitch extraction algorithms, gold Rabiner

pitch trackers, autocorrelation pitch trackers.

UNIT-III Speech Processing 06 Hours

Voice/unvoiceddetection, homomorphic speech processing, homomorphic systems for convolution,

complex cestrum’s, pitch extraction using homomorphic speech processing. Sound Mixtures and

Separation, CASA, ICA & Model based separation.

UNIT-IV Speech Transformations 06 Hours

Time Scale Modification, Voice Morphing. Automatic speech recognition systems , isolated word

recognition, connected word recognition- large vocabulary word recognition systems, pattern



classification, DTW, HMM, speaker recognition systems, speaker verification systems – speaker

identification Systems.

UNIT-V Audio Processing 06 Hours

Audio signal, Non speech and Music Signals, Modeling , Differential transform and sub-band coding of

audio signals & standards, High Quality Audio coding using Psychoacoustic models, MPEG Audio

coding standard.

UNIT-VI Magnetism and Superconductivity 06 Hours

Music Production, sequence of steps in a bowed string instrument , Frequency response measurement of

violin, guitar, Audio Data bases and applications , Content based retrieval, raga identification, musical

instrument classification.

BOOKS:

Text Books:

T1:Rabiner L.R. & Schafer R.W., “Digital Processing of Speech Signals”, Prentice Hall Inc.

T2: Dr. S. D. Apte, Speech and audio Processing,John Wiley &Sons, Inc.

References:

R1. Rabiner L.R. & Gold, “Theory and Applications of Digital Signal Processing”, Prentice Hall of India

R2. O'Shaughnessy, D. “Speech Communication, Human and Machine”. Addison, Wesley.

R3. Deller, J., J. Proakis, and J. Hansen. “Discrete, Time Processing of Speech Signals. “Macmillan.

R4. Ben Gold & Nelson Morgan,“Speech and Audio Signal Processing”, John Wiley &Sons, Inc.

R5. Papamichalis P.E., “Practical Approaches to Speech Coding”, Texas Instruments, Prentice Hall






Academic Year – 2020-2021 Semester -I [EC5106]: Lab Practice -I

Laboratory Assignments/Experiments:

1. Write a program for 4*4 Matrix Keypad Interface.

2. To develop character device driver for GPIO

3. One experiment based on any one of development Platform: Arduino, Beaglebon,

Rasberry Pi, Intel Galileo Gen 2.

4. Interfacing USB & CAN of LPC 1768.

5. Write a program for External Interrupt

6. Write a program for Sensing Engine Speed, Load and Temperature.

7. Develop a transistorized Ignition Driver.

8. Design a single cylinder engine Management System.

9. Perform a case study for any two automotive protocols.

10. Study the functional design aspects of Hybrid Automotive Systems.





SEMESTER II Syllabus






Academic Year – 2020-2021 Semester -II [EC5109]: Analog IC Design

Teaching Scheme:

TH: 03 Hours/Week

Credit

03

Examination Scheme:

In Sem. Evaluation : 15 Marks



Total :100 Marks

Course Prerequisites:Basic analog circuit knowledge, properties of each linear and non linear devices in

semiconductor, technology scaling for devices.

Course Objective:

1. To study Basics of analog IC designing and small signal models.

2. To understand the design principles of different types of amplifier.

3. To learn different types of op-amps

4. To understand the implementation of linear and non – linear analog block implementation and

their testing

Course Outcome:


CO1: Developed ability to design analog building blocks of VLSI circuit.

CO2: student will able to design different types of amplifiers.

CO3: Express basic fundamentals of current mirrors.



CO4: Developed ability to build SPICE deck of MOS integrated circuits.

Course Contents

UNIT-I MOSFET Overview 07 Hours

MOSFET as a switch, Diode and active resister, MOS small signal model. Overview of noise in analog

circuit. Current sink and sources. Short channel regime; Current sinks and sources.

UNIT-II Current Mirrors 08 Hours

Current mirrors: Current matching, temperature behavior, cascade current mirror, wide swing current

mirror, voltage references.

UNIT-III CMOS Amplifiers 06 Hours

CMOS Amplifiers: Design of CMOS amplifiers, Inverting amplifiers, Common source amplifier, Common

Gate amplifier, Common drain amplifier.

UNIT-IV Cascade Amplifier 07 Hours

Single stage amplifier: common source amplifier, source follower, current source loads, cascade

amplifier, folded cascade, output stage. Class AB and push-full amplifier.

UNIT-V Op-Amps 08 Hours

Differential amplifier: source coupled pair, source cross coupled pair, cascade loads. Wide swing

differential amplifier and operational amplifier: high speed Op-Amps..



UNIT-VI High Frequency Amplifier 08 Hours

HF Amplifiers &Low Noise Amplifier: Open and Short circuit methods to estimate bandwidth, multistage

amplifier for high bandwidth, Low Noise Amplifier (LNA) design, noise and power trade off.

BOOKS:

Text:

T1.Allen P E and Holberg D R, “CMOS Analog Circuit Design”, 2ndEdition, Oxford University

Press.

T2. B. Razavi, “Design of Analog CMOS Integrated Circuits”, 2nd Edition, Prentice-Hall, 1998.

References:

R1. R. Jacob Baker, “CMOS Circuit Design, Layout and Simulation”, 4th edition Wiley, 2005.

R2. M. Ismail, “Analog VLSI: Signal and Information Process”, 3rd edition, McGraw-Hill, 1994.

R3. P.R. Gray and R.G. Meyer, Analysis and design of Analog Integrated circuits, 3rdEdition, John Wiley

and Sons, 1993.

R4. Behzad Razavi, “RF Microelectronics”, 2nd Edition, Prentice-Hall PTR,1998",






Academic Year – 2020-2021 Semester -II [EC5110]: Embedded Signal Processor Architectures


Credit 03




Total :100 Marks Course Prerequisites:Fundamentals of signals and system, Basic concepts of transforms

Course Objective:

1. To impart knowledge on the theoretical aspects of signal analysis and processing

2. To explore DSP Processor architectures

3. To understand DSP algorithms

4. To elaborate real world DSP applications

Course Outcome:


CO1: Designing system with linear filters using DFT

CO2: Develop technical abilities of designing any applications with FIR and IIR filters

CO3: Port algorithms on DSP Processor Platforms

CO4: Design Adaptive filters

CO5: Analyze filter structures

Course Contents

UNIT-I Signal Analysis and Processing 08 Hours



Signal Analysis and Processing: Discrete Fourier Transform, Fast Fourier Transform, Design of FIR

Filters using windowing technique, Design of IIR Filters through Impulse invariance and bilinear

transformation technique, Algorithms of Adaptive Filters, Design and Applications of Adaptive Filters

UNIT-II Introduction to Digital signal processing systems 06 Hours

Introduction to Digital signal processing systems, MAC, Barrel shifter, ALU, Multipliers, Dividers, DSP

processor architecture, Software developments, Selections of DSP processors, Hardware interfacing, DSP

processor architectures: TMS 320C54XX, TMS 320C67XX.

UNIT-III Blackfin processor 06 Hours

Blackfin processor: Architecture overview, memory management, I/O management, Real time

implementation Considerations, Memory System and Data Transfer, Code Optimization.

UNIT-IV DSP algorithms 08 Hours

Representations of the DSP algorithms, Block diagrams, Signal flow graph, Data-flow graph, Dependence

graph. Iteration bounds: Critical Path, Loop Bound, Algorithm to compute iteration bound, Longest Path

Matrix (LPM).

UNIT-V 06 Hours

Practical DSP Applications: Audio Coding and Audio Effects, Digital Image Processing, Two-

Dimensional Filtering, Image Enhancement, DTMF generation and detection

UNIT-VI 06 Hours



FFT algorithms, Wavelet algorithms, Adaptive algorithms: system identification, inverse modeling,

noise cancellation, prediction

BOOKS:

Text:

T1:Woon-SengGan, Sen M. Kuo, “Embedded Signal Processing With the Micro Signal Architecture”,

Wiley-IEEE Press.

T2: KuoSen M, Woon-SengGan,“ Digital Signal Processors: Architectures, Implementations and

Applications”, Prentice-Hall.

References:

R1: Proakis J G, Manolakis D G, “Digital Signal Processing ,Principles, Algorithms and Applications”,

Prentice-Hall.

R2: Lawrence R. R, Bernard Gold, “Theory and Application of Digital signal Processing”, Prentice-

Hall.

R3: ParhiKeshab , “VLSI Digital Signal Processing System”, Wiley Publication.

.






Academic Year – 2020-2021 Semester -II [ES5104]: Advanced Engineering Mathematics


Credit 04




Total :100 Marks Course Prerequisites:Elementary notions of Matrices, Statistics and Probability

Course Objective:

1.To understand mathematical fundamentals for various courses like Communication Engineering,

Computer security, Software engineering, Computer architecture, Machine learning.

Course Outcome:

After successful completion of the course, students will able to:After successful

CO1: Apply concepts in Linear algebra in engineering field.

CO2: Apply concepts of graph theory to solve problems of connectivity.

CO3 : Apply statistical methods like correlation, regression analysis of a given data as applied to machine

Intelligence.

CO4 : Understand the basic notions of discrete and continuous probability and apply probability theory

For prediction of a given data.

CO5: Solve problems related to Fourier transform and applications to Signal and Image processing.



Course Contents

UNIT-I Linear Algebra-Vector Space 08 Hours

Vector Space, Subspaces, Span of a set, Linear Dependence and Independence, Basis and Dimensions,

Rank-nullity theorem. Inner Product Space, Orthogonality, Gram–Schmidt Method.

UNIT-II Linear Algebra-Linear Transformation 08 Hours

Linear Transformation, Matrix for Linear transformation, Nonsingular Linear Transformation, inverse of

Linear Transformation, Eigen values and Eigen vectors, Diagonalization, Principal component analysis

(PCA), Singular Value Decomposition (SVD)

UNIT-III Graph Theory 08 Hours

Basic terminologies, Simple graphs, Multi graphs and Weighted graphs, Paths and circuits, Euler and

Hamiltonian paths and circuits, Shortest path problems, Shortest path algorithm, Planer graphs, directed

graphs, trees, rooted trees, binary search trees, spanning trees, application to minimum spanning tree

problem, Kruskar’s and Prim’s algorithms for minimum spanning tree.

UNIT-IV Statistics 08 Hours

Measures of central tendency, Measures of dispersion, Moments , Simple Correlation and Regression

,Testing of Hypothesis, Chi-Square Test, P –value of a test , Analysis of Variance (ANOVA)-one way

and two way classification.

UNIT-V Probability Theory 08 Hours



Probability, Conditional probability, Bay’s Theorem, Random variables, Probability mass function,

Probability density function, Mathematical Expectation, Probability distribution: Binomial, Possion,

Normal and Hypergometric Distribution.

UNIT-VI Fourier Transform 08 Hours

Fourier Transform, Fourier Sine and Cosine Transform and their inverses, Discrete Fourier Transform,

Inverse Discrete Fourier Transform, Fast Fourier Transform, Convolution.

BOOKS:

Text:

T1. David C. Lay, “Linear Algebra and its Applications,” 12th impression 2011, Pearson Education Inc,.

T2.Gilbert Strang , “ Linear Algebra and its Applications,” 10th Indian reprint 2011, Cengage Learning

(Indian Edition).

References:

R1. B.A. Ogunnaike, “Random Phenomena:Fundamentals of probability and Statistics for Engineers”,

CRC Press, 2010.

R2. K.H. Rosen, “Discrete Mathematics and its Application”, Tata McGraw Hill publication.

R3. Henry Stark, John W. Woods,” Probability and Random processes with Applications to Signal

Processing”, Pearson Education, 3rd edition.

R4. G.C. Beri “Business Statistics”, second Edition, Tata McGraw Hill publication.

R5.I.R. Millar, J.E. Freund and R. Johnson, “Probability and Statistics for Engineers”, 4th edition, PHI

R6 E. Kreyszig, “Advance Engineering Mathematics”, 10th edition,Wiley,2015






Academic Year – 2020-2021 Semester -II [EC5111A]: Advanced Signal Processing Technology


Credit 03




Total :100 Marks Course Prerequisites:Advanced calculus and familiarity with introductory complex variable theory.

Previous exposure to linear system theory for continuous-time signals, including Laplace and Fourier

transforms is required.

Course Objective:

1. Design and testing of systems for advanced signal processing.

2. Understanding of Digital Signal Processor architecture

3. Analysis of Signal using different parameter.

Course Outcome:


CO1: Understanding of advanced methods of signal processing and analysis,

CO2: Utilize advanced methods of signal processing

CO3: Design and verify a realization aimed at a particular practical task

CO4: Apply the concept for real time application.



Course Contents

UNIT-I Architecture and instruction set of DSP processor 07 Hours

Introduction to TMS320C6x processor, architecture, pipelining, linear and circular addressing modes,

TMS320C6x instruction set, assembler directives, timers, interrupts, serial I/O, DMA,fixed and floating

point data format.

UNIT-II Digital signal processing and DSP systems 07 Hours

Advantages of DSP, characteristics of DSP systems, DSP applications. DSP processors, architecture

and instruction set.

UNIT-III Numeric representations and arithmetic 06 Hours

Floating point numbers, IEEE 754 standard for floating point numbers

UNIT-IV Memory Architectures 06 Hours

Memory structures wait states, extended memory interfaces, addressing mechanisms.

UNIT-V Execution control 06Hours

Hardware looping, interrupts, stack, relative branch support Pipelining: pipelining and performance,

pipelining depth, interlocking, branching effects, interrupt effects,

UNIT-VI Peripherals 06Hours

Serial / parallel ports, timers, communication ports, on-chip A/D and D/A converters,

external interrupts, on-chip debugging facilities, power consumption, clocking.

BOOKS:

Text:

T1: Advanced Digital Signal Processing Principles, Algorithms andApplications, Pearson, Fourth Edition, Proakis, Manolakis, T2. Advanced Digital Signal Processing-Shaila Apte-Wiley India publication






Academic Year – 2020-2021 Semester -II [EC5111B]: Artificial Intelligence and Machine Learning


Credit 03




Total :100 Marks Course Prerequisites: Background in basic programming and Data Structures or equivalent knowledge

will be required for this course.

Course Objective:

The Objective of this course is to provide a strong foundation of fundamental concepts in Artificial

Intelligence along with a basic exposition to the goals and methods of Artificial Intelligence.To enable

the student to apply these techniques in applications which involve perception, reasoning and learning.

Course Outcome:


CO1: Understand the various searching techniques, constraint satisfaction problem and example

problems- game playing techniques.

CO2: Apply these techniques in applications which involve perception, reasoning and learning.

CO3: Explain the role of agents and how it is related to environment and the way of evaluating it and

how agents can act by establishing goals.



CO4: Acquire the knowledge of real world Knowledge representation.

CO5: Analyze and design a real world problem for implementation and understand the dynamic

behavior of a system.

CO6:Use different machine learning techniques to design AI machine and enveloping applications for

real world problems.

Course Contents

UNIT-I Foundations for ML 06Hours

MLTechniques overview, Validation Techniques (Cross-Validations), Feature, Reduction/Dimensionality

reduction, Principal components analysis (Eigen values, Eigen vectors, Orthogonality.

UNIT-II Clustering 06Hours

Distance measures, Different clustering methods (Distance, Density, Hierarchical), Iterative

distance-based clustering, Dealing with continuous, categorical values in K-Means, Constructing a

hierarchical cluster, K-Medoids, k-Mode and density-based clustering, Measures of quality of

clustering.

UNIT-III Classification 06Hours

Naïve Bayes Classifier, Model Assumptions, Probability estimation, Required data processing, M-

estimates, Feature selection: Mutual information, Classifier, K-Nearest Neighbors: Computational

geometry; Voronoi Diagrams; Delaunay Triangulations, K-Nearest Neighbor algorithm; Wilson

editing and triangulations, Aspects to consider while designing K-Nearest Neighbor Support Vector

Machines: Linear learning machines and Kernel space, Making Kernels and working in feature

space SVM for classification and regression problems, Decision Trees, Random forest .

UNIT-IV Foundations for AI 06Hours

AI: Application areas, AI Basics (Divide and Conquer, Greedy, Branch and Bound, Gradient



Descent), NN basics (Perceptron and MLP, FFN, Backpropagation).

UNIT-V Knowledge Representation of AI 06Hours

Knowledge Representation: Procedural Vs Declarative Knowledge, Representations & Approaches

to Knowledge Representation, Forward Vs Backward Reasoning, Matching Techniques, Partial

Matching, Fuzzy Matching Algorithms and RETE Matching Algorithms; Logic Based

Programming- AI Programming languages: Overview of LISP, Search Strategies in LISP, Pattern

matching in

LISP , An Expert system Shell in LISP, Over view of Prolog, Production System using Prolog

UNIT-VI Neural Networks 06Hours

Image classification, Text classification, Image classification and hyper-parameter tuning, Emerging

NN architectures, Building recurrent NN, Long Short-Term Memory, Time Series Forecasting

BOOKS:

Text:

T1: Machine Learning, Tom Mitchell , McGraw Hill, 1997

References:

R1: The Elements of Statistical Learning, Trevor Hastie, Robert Tibshirani& Jerome Friedman,

Springer Verlag, 2001

R2: Pattern Classification, Richard,Duda, Peter E. Hart and David G. Stork, John Wiley & Sons

Inc., 2001

R3: Neural Networks for Pattern Recognition, Chris Bishop, Oxford University Press, 1995

R4: Artificial Intelligence, George F Luger, Pearson Education Publications

R5: Artificial Intelligence : A modern Approach, Russell and Norvig, Printice Hall






Academic Year – 2020-2021 Semester -II [EC5111C]: Design for Testability


Credit 03




Total :100 Marks Course Prerequisites:Combinational logics, test vectors, net list through VHDL, synthesis and verification

of devices, look up tables, digital logic families.

Course Objective:

1. To study techniques in testing of VLSI chips.

2. To understand fault models and their use in testing of VLSI Circuits.

Course Outcome: After successful completion of the course, students will able to:

The student will be able to

CO1: Understand theory of combinational circuits for writing VHDL program.

CO2: Apply concept registers and counters with CAD tools.

CO3: Exhibit the knowledge of static and dynamic Hazards for design of vending machine controller.

CO4: Use Fault models for testing various VLSI circuits.

CO5:Design Circuits for Testability.

Course Contents



UNIT-I Need of Testability 07 Hours

Controllability and observability, Types of faults, Need of design for testability, Fault models and CMOS

test methods.

UNIT-II Scope of Testing 06 Hours

Scope of testing and verification in VLSI design process. Issues in test and verification of complex

chips, embedded cores and SOCs. Fundamentals of VLSI testing. Fault models. Automatic test

pattern generation.

UNIT-III Design for Testability 08 Hours

Design for testability. Scan design. Test interface and boundary scan. System testing and test for SOCs.

Iddq testing. Delay fault testing. BIST for testing of logic and memories. Test automation.

UNIT-IV Design Verification Technique 08 Hours

Design verification techniques based on simulation, analytical and formal approaches. Functional

verification. Timing verification. Formal verification. Basics of equivalence checking and model

checking.

UNIT-V System Test design 06Hours

System test and core-based design, ATPG, Embedded core test fundamentals. Design verification

techniques based on simulation, analytical and formal approaches. Functional verification.



UNIT-VI Hardware Emulation 06Hours

Hardware emulation. Parametric testing, Reliability modeling, Yield models.

BOOKS:

Text:

T1: Charles H. Roth, ―Digital system design using VHDL‖, Thomson Publication

T2: M. Abramovici, M. A. Breuer and A. D. Friedman, Digital Systems Testing and Testable Design,

second edition, IEEE Press, 1990.

References:

R1: Brown, Vranesic ―Fundamentals of digital logic design with VHDL‖, McGraw Hill

R2: John F. Wakerly,‖Digital Design principles and practices‖, 3rd edition, PHI publications

R3: T. Krop, Introduction to Formal Hardware Verification, Springer Verlag, 2000.

R4: P. Rashinkar, L. Singh, System-on-a-Chip Verification-Methodology and Techniques, Kluwer second

edition, Academic Publishers, 2001.

R5:M. Bushnell and V. D. Agrawal, Essentials of Electronic Testing for Digital, Memory and Mixed-

Signal VLSI Circuits, Kluwer Academic Publishers,2000. Second edition.






Academic Year – 2020-2021 Semester -II [EC5112A]: MEMs and NEMs


Credit 03




Total :100 Marks Course Prerequisites: Basic electronic devices, application of each semiconductor materials with respect

to their properties, fabrication ideology and different process.

Course Objective:

1. To understand the multidisciplinary aspects of MEMS.

2. To study various applications of MEMs

3. To understand their fabrication and modelling methods of MEMs and NEMS devices.

4. To gain the concepts of MEMS sensors and measurement methods.

Course Outcome:


CO1: Appreciate the underlying working principles of MEMS and NEMS devices.

CO2: Analyse different sensing and actuation methods and their applications.

CO3 : Ability to design and model these devices.



CO4: Apply different measurement methods and tools for electrical applications.

Course Contents

UNIT-I Introduction to MEMs 06 Hours

Intrinsic characteristics of MEMS, miniaturization, Sensors and actuators, sensor noise and design

Complexity, packaging and integration, stress and strain, intrinsic stress, torsion deflections, types

of beams and deflection of beams.

UNIT-II MEMS based sensors and actuators 08 Hours

Electrostatic sensors and Actuators, Thermal sensing and actuation, piezoresistive sensing and

Actuation, Magnetic actuation. Comparison of major sensing and actuation methods. Case studies of

Selected MEMS: Acceleration sensors, gyros etc.

UNIT-III Fabrication Modules 06 Hours

Review of Basic MEMS/NEMS fabrication modules: Oxidation, Deposition Techniques, Lithography

(LIGA), and Etching.

UNIT-IV Micromachining 06 Hours

Micromachining: Surface Micromachining, sacrificial layer processes, Stiction; Bulk Micromachining,

Isotropic Etching and Anisotropic Etching, Wafer Bonding.

UNIT-V Mechanics of solids in MEMS/NEMS 08 Hours

Mechanics of solids in MEMS/NEMS: Stresses, Strain, Hooke’s law, Poisson effect, Linear Thermal

Expansion, Bending; Energy methods. Brief Overview of Finite Element Method. Modeling of Coupled

Electromechanical Systems.

UNIT-VI Measurements methods and tools 07 Hours



Electrical methods: Hot probe method, Sheet resistance, Hall Effect measurements. Physical

Measurements: Fourier Transform Infrared Spectroscopy, Electron microscopy, Atomic Force

Microscope, X-Ray photoelectron Spectroscopy, Profilometers, Reflectometers

BOOKS:

Text:

T1: Chang Liu, Foundations of MEMS, Pearson Education.

T2: Minhang Bao, Analysis and Design Principles of MEMS Devices, Elsevier.

References:

R1. S. D. Senturia, Microsystem Design, Kluwer Academic Publishers, 2001.

R2. M. Madou, Fundamentals of Micro fabrication, CRC Press, 1997.

R3. G. Kovacs, Micromachined Transducers Sourcebook, McGraw-Hill, Boston, 1998.

R4. M.H. Bao, Micromechanical Transducers: Pressure sensors, accelerometers, andgyroscopes,

Elsevier, New York, 2000..

R5. Journals: 1. Journal of Microelectromechanical Systems, IEEE/ASME.IEEE Transactions on

Nanotechnology.






Academic Year – 2020-2021 Semester -II [EC5112B]: Multirate Signal Processing


Credit 04




Total :100 Marks Course Prerequisites: Basic knowledge of signal system and signal processing is mandatory to understand .

Course Objective:

1. To understand state-of-the –art in multirate systems

2. To familiarize with wavelet theory, its implementation and representation

3. To understand the fundamentals of multirate signal processing and its applications

4. To study the theory and construction of wavelets and its practical implementations

Course Outcome:


CO1 :Design and implement perfect reconstruction filter bank systems

CO2 : Specify and identify various implementation multiphase and polyphase representation

CO3:Design and implement wavelet-based systems.

CO4:Describe and analyze a compression or denoising system using wavelets



Course Contents

UNIT-I Fundamentals of Multirate systems 07 Hours

Basic multirate operations and their spectral representation. Fractional Sampling rate alteration,

Interconnection of building blocks, Noble identities, polyphase representations, Efficient structures

for decimation and interpolation filters.

UNIT-II Filter banks 07Hours

Uniform DFT filter banks, efficient structures for fractional decimation, Multistage

implementations, Applications of multirate systems, 2-channel QMF filter banks, Errors in the QMF

bank, conditions for perfect reconstruction, polyphase implementation, M-channel filter banks.

UNIT-III Wavelet Transforms 06 Hours

Continuous wavelet transform and short time Fourier transform, uncertainty principle and time -frequency

tiling

UNIT-IV Discrete wavelet transform 06 Hours

Haar scaling and wavelet functions, Daubechies wavelets. Designing orthogonal wavelet systems,

Discrete wavelet transform and relation to filter banks, computing and plotting scaling and wavelet

functions.

UNIT-V Biorthogonal wavelets 08 Hours

Biorthogonality in vector space, biorthogonal wavelet systems, construction of biorthogonal wavelet

systems. Frequency domain approach for designing wavelets: derivation of Daubechies wavelets.

Parametric design of orthogonal and biorthogonal wavelets.

UNIT-VI Wavelet packet analysis 06 Hours

Wavelet packet analysis, lifting schemes, Applications of wavelets in compression and denoising.

BOOKS:

Text:



T1:P. P. Vaidyanathan, Multirate Systems & Filter banks ,Prentice Hall

T2: K. P. Soman, K. I. Ramachandran, N. G. Resmi, PHI, Insight into wavelets from theory to practice.

References:

T2:.K.P. Soman, K. I. Ramachandran, N. G. Resmi, PHI, Insight into wavelets from theory to practice

T3:G. Strang& T. Nguyen , Wavelets and Filter bank, Wellesly-Cambridge.






Academic Year – 2020-2021 Semester -II [EC5112C]: Industrial Internet of Things

Teaching Scheme:

TH: 03 Hours/Week

Credit

03

Examination Scheme:

In Sem. Evaluation : 15 Marks



Course Prerequisites: Knowledge of networking

Course Objective:

The Objective of this course is to make students learn and understand basic Concepts and principles of

IOT to design practical engineering problems and apply its solutions effectively and meaningfully. To

understand IIOT to building up of models, design issues, practical oriented skills and problem-solving

challenges in industry are the great task of the course.

Bring the IoT perspective in thinking and building solutions

Introduce the tools and techniques that enable IoT solution and Security aspects

Course Outcome:


CO1:Bring the IoT perspective in thinking and building solutions.



CO2: Introduce the tools and techniques that enable IoT solution and Security aspects.

Course Contents

UNIT-I Introduction to IoT 07 Hours

Sensing, Actuation, Basics of Networking, Communication Protocols, Sensor Networks, Machine-

to-Machine Communications, Interoperability.

UNIT-II Introduction to IoT 07 Hours

Introduction, IoT Vs. IIoT, Why IIOT and why now? Introduction to Industry 4.0, Innovation and

IOT, Key benefits and opportunities, Architecture of IIOT, Market Segments and Verticals,

Economics of IoT

UNIT-III Enabling Technologies 06 Hours

Software defined Network for IoT, The role of Blockchain and Crypto Platforms in IIOT.

CloudComputing, Fog Computing.

UNIT-IV Security and Case studies 06 Hours

Importance of Security and Architecture, IoT Use-Cases and Case Studies: Healthcare, Power Plants,

Inventory Management & Quality Control, Plant Safety and Security, Connected Vehicles and Smart

Grid, Applications of UAVs in Industries.

UNIT-V Security in IIOT 07 Hours

Importance of Security and Architecture, Cyber-physical systems, IIoT security -vulnerabilities,

attacks, and countermeasures, security lifecycle.

UNIT-VI Case Studies in IIOT 07 Hours



IIoT Use-Cases and Case Studies: Healthcare, Power Plants, Inventory Management and Quality

Control, Plant Safety and Security, Connected Vehicles and Smart Grid, Applications of UAVs in

Industries.

BOOKS:

Text:

T1:Alasdair Gilchrist, “Industry 4.0,the Industrial Internet of Things”, Apress , 2018.

T2: Pethuru Raj and Anupama C. Raman , “The Internet of Things: Enabling Technologies, Platforms,

and Use Cases", CRC Press, 2017

T3: Internet of Things: A Hands-on Approach", by Arshdeep Bahga and Vijay Madisetti Universities

Press, 2017

T4: Rusell and D. Van Duren, “Practical Internet of Things Security,” Packt Publishing, 2016

References:

R1:Sabina Jeschke, Christian Brecher, Houbing Song, Danda B. Rawat, “ Industrial Internet of Things,

Cyber-manufacturing Systems,”Springer Series in Wireless Technology, Springer,2016

R2: NPTEL Course: INTRODUCTION TO INTERNET OF THINGS

R3. Research papers

E&TC FY.pdf - Rajarshi Shahu College of Engineering

Documents

Transcript of E&TC FY.pdf - Rajarshi Shahu College of Engineering