1

UNIVERSITY OF KERALA

REGULATIONS ,SCHEME AND SYLLABUS

for

M. Tech. Degree Programme

in

ELECTRICAL ENGINEERING

(2008 Scheme)

Stream

INDUSTRIAL INSTRUMENTATION AND CONTROL

2

M. Tech. DEGREE COURSE REGULATIONS

w. e. f. 2008 ADMISSIONS

1. General:

The M Tech degree course is for 2 years comprising of 4 semesters. Duration is

counted from the first registration date of the student( in the first semester). Credit system

is adopted for the course. Grade point average is calculated on the basis of all courses

taken by the student. The total credits for the course is 69. The distribution of these

credits among the various course work is as follows:

2. Distribution of credits among the various Course Work:

Table 1: Distribution of credits for various coursework

Course work

Weekly hours Credits allotted

Theory subject

3 3

Seminar 2 or 3 2

Laboratory

2 or 3 1

Project – (Part 1 & Part 2)

- 3

Industrial training/interaction

- 1

Research Methodology

- 1

Thesis –Preliminary

- 4

Thesis

- 12

3

3. Distribution of credits among the four Semesters:

Table 2: Distribution of credits among the semesters

Semester

Course work content

Total credits

Total credits

allotted

Allotted

credits

semester-

wise

I

6 Theory Subjects

6 x 3 = 18

22 Seminar

1 x 2 = 2

Laboratory 1 x 1 = 1

Project - Part 1(to be continued in the

second semester)

1 x 1 = 1

II

6 Theory Subjects

2 core subjects, 2 Stream Electives,

1 Departmental elective and

1 Interdisciplinary Elective

2 x 3 + 2 x 3

+1 x 3 +1 x 3

= 18

23 Laboratory

1 x 1 = 1

Seminar

1 x 2 = 2

Project - Part 2 1 x 2 = 2

III

2 Theory subjects(Stream Electives) 2 x 3 = 6

12 Research methodology 1 x 1 = 1

Industrial Training 1 x 1 = 1

Thesis – Preliminary 1 x 4 = 4

IV Thesis 12 12

Total credits for four semesters 69

4. Details of course work contents:

4.1 Academic Committee:

This refers to the Academic Committee of the concerned institution comprising of

(i) Principal, (ii) Dean (PG. studies) (iii) Heads of all departments offering PG. Courses

and (iv) Course coordinators of P G. Courses in the departments offering PG. Courses.

4.2 Course coordinator:

The Professor in charge of PG. Courses in each Department will be the course

coordinator for M Tech/ M. Planning (Housing) course in that Department.

4

.3 Department Committee:

Each Department will have a Department Committee to look after the PG.

Courses. This Committee will consist of (i) Head of the Department (ii) The Course

coordinator (iii) Faculty in charge of each Stream and (iv) One student representative.

4.4 Evaluation Committee:

Each Department has to constitute an evaluation committee to evaluate seminars,

projects, pre- submission seminar for the Thesis etc., consisting of at-least three members.

The internal guide and another expert in the area of specialization shall be the two

essential members of this committee.

4.5 Course work content:

Semester I

The student has to credit 6 theory subjects. All the subjects will be core subjects

out of which one will be from the area of Mathematics. In addition, the student has to take

up 1 Seminar, 1 laboratory and a project which is to be continued in the second semester

and to be completed by the end of second semester.

Semester II

The student has to credit 6 theory subjects, one Seminar, one laboratory and one

project (continuation of Project-part 1) in this semester. Among the six subjects, one

would be an inter-disciplinary elective as advised by the course coordinator in

consultation with the academic Committee: two would be core subjects offered in the

stream concerned, two would be stream electives and remaining one would be a

departmental elective. Stream and departmental electives are to be selected from the list

of electives for each department. The student has to continue the project work

commenced in the first semester and submit a project report at the end of this semester.

The seminar which the student has to credit would be on a topic different from his

/her project work.

Semester III

The student has to credit 2 subjects from the Stream Electives listed and a course

on research methodology. He/She has to undergo an Industrial Training during the

semester break after semester II and complete it within 15 calendar days from the start of

the III semester. For crediting the industrial Training/Interaction, the student has to

undertake the training in an Industrial organization /R&D organization for a period of not

less than two weeks. The student is required to submit an industrial training report and

present it before the evaluation committee.

Thesis Preliminary comprises of a preliminary thesis work, two seminars and

submission of thesis preliminary report. The first seminar would highlight the topic,

objectives, methodology and expected results. The first seminar shall he conducted in the

5

first half of this semester. The second seminar is the presentation of the work they have

completed for the thesis-preliminary and scope of the work, which is to be accomplished

in the fourth semester.

Weightages for the 4 credits allotted for the Thesis Preliminary

( i) Internal evaluation of the thesis-preliminary work by the guide - 50%

(ii) Internal evaluation of the thesis-preliminary by the Evaluation Committee - 50%

Semester IV:

In the fourth semester there will be only thesis work. The fourth semester thesis

must be the extension of thesis preliminary work. Towards the end of the semester there

would be a pre-submission seminar to assess the quality and quantum of the work by the

Evaluation Committee. This would be the pre-qualifying exercise for the students for

getting approval from the Department Committee for the submission of Thesis. At least

one technical paper is to be prepared for possible publication in Journals/ Conferences.

The final evaluation of the Thesis would be external evaluation. The 12 credits allotted

may be proportionally distributed between external and internal evaluation as follows. As

far as possible, the student shall be encouraged to do their work in the parent institute

itself.

Weightage of marks for the Thesis

Internal Evaluation of the Thesis work by the guide - 200 Marks

Internal Evaluation of the Thesis by the Evaluation Committee - 200 Marks

Final Evaluation of the Thesis work by the Internal and External

Examiners- (Evaluation of Thesis: 100 marks + Viva Voce: 100 marks) - 200 Marks

Facility for Students to do thesis outside the parent Institute:

As far as possible the students shall be encouraged to do their thesis work in the parent

institute itself. However if found essential, they may be permitted for continuing their

Thesis in the IVth

semester outside the parent Institute with the approval of the

Department Committee. For students who are availing this facility, the following

conditions are to be observed.

1. The student has to get prior approval from the Department Committee for availing

this facility as well as choice of the Institution/industry/ R&D organization with

which the student is associated for continuing his/her thesis work.

2. If they are doing their thesis work in an Educational Institute, then the Institute is

to be preferably an institution of national repute like IITs, IISc, etc.

3. Students availing this facility should continue as regular students of the parent

institute itself.

4. They should have a guide each in the parent institution and the external

Institution/industry/ R&D organization in which the student is associated for

doing the thesis work.

6

5. The student also has to furnish a certificate from the guide of the organization

concerned stating the willingness to supervise the thesis work through the

Institution/industry/ R&D organization with which the student is associated for

his/her thesis work and has to submit the same to the Department Committee.

6. The student has to furnish his /her monthly progress as well as attendance report

signed by the external guide and submit the same to the concerned Internal guide.

7. The external guide and the internal guide are to be preferably present during all

the stages of evaluation of the thesis work. In case the external guide is not

present, the internal guide can alone take the responsibility of conducting the

evaluation.

5. Evaluation Process:

In the first semester, second semester and the third semester, all the subjects to be

credited are evaluated through internal assessment and examinations. The Written

examination for the first semester will be conducted by the University. The Written

examination for the second and third semesters would be through internal examination.

The answer scripts of the internal examination in the second and third semester shall also

to be valued by two examiners; the first examiner being the staff member handling the

subject and a second examiner specialised in the area of the subject.

The seminars, project, Industrial Training/Interaction programme etc. will be

evaluated by the Evaluation Committee. The laboratory work will be evaluated by the

staff member/(s) concerned.

In the third semester, Thesis- Preliminary will be evaluated by the Evaluation

Committee. The internal evaluation of the Thesis in the IV Semester. would be done by

the Evaluation committee. Final evaluation of Thesis would be conducted by the guide

and an expert from outside the Institute appointed by the University.

The University evaluation of thesis work and viva-voce examination will be taken

up only after the student completes all core, elective as well as other course requirements

satisfactorily.

5.1 Weightage of marks

The following will be the weightage of marks for the different subjects

a. Theory subjects

Continuous assessment - 50 marks

University/internal examination - 100 marks

(For continuous evaluation, minimum 4 assignments and 2 tests shall be

considered. The marks shall be distributed as follows; Attendance 20%,

Assignment-30% and Tests- 50%)

b. Laboratory based subjects

Continuous assessment - 50 marks

7

5.2 Grade and Grade Points A student is awarded a letter grade in each course he/she has registered for,

indicating his/her overall performance in that course. There are eight letter grades S, A, B,

C, D, E, F and I. The correspondence between grades and points (on a 10-point scale)

rating is given in Table 3.

If a student does not satisfy all the requirements for a course during the second

and/or third semester for a genuine reason, the teacher concerned may award grade

I(incomplete). The student will be given a chance to satisfy the requirements within a

stipulated date as decided by the Department Committee. Once the student satisfies this

within the time, the I grade will be converted by the Department committee to a regular

letter grade. If the student fails to satisfy the requirements within this extra time

allotted then, I grade is automatically converted to an F Grade.

5.3. Substitution of courses:

A student getting an F or E grade in a course must either reappear for the

subsequent chance of the examination or substitute the course with another course as

suggested by the Department Committee. The student is allowed for substitution only if

the course concerned is not a core course. A student is not allowed to register for more

than one semester at a time. Hence substitution is allowed only after completing the

regular course work.

5.4 Classification of Grades based on Marks scored:

The grades are allotted based on the percentage of total marks (Continuous

evaluation and Written examination put together) scored by the student in each subject.

Appropriate grades in that subject is then allotted based on the classification given in

Table.3. In case a student has taken more than two chances in passing a subject only

minimum pass grade D will be allotted in that subject irrespective of the actual marks

scored.

Table 3: Classification of grades based on percentage of marks

Sl.No Percentage of marks Grades allotted Grade points

1 90 % and above S 10

2 80 % or above but

less than 90%

A 9

3 70 % or above but

less than 80%

B 8

4 60 % or above but

less than 70%

C 7

5 50 % or above but

less than 60%

D 6

6 40 % or above but

less than 50%

E 4

7 Less than 40% F 0

8 I Incomplete

8

5.5 Computation of SGPA (Semester Grade Point Average) and CGPA

(Cumulative Grade Point Average):

The SGPA is an overall academic performance of a student in all the courses

he/she has registered during a given semester. It is computed as follows: If a student is

awarded G1, G2 etc. grades in courses with corresponding credit units U1, U2 etc., the

SGPA is given by

SGPA = (U1*G1 + U2*G2+… ) / (U1+U2+ ….)

Similarly the CGPA indicates the cumulative academic performance in all the courses

taken including the current semester.

CGPA for ith

semester = Σ (SGPA)i x Si )/ Σ Si

Where (SGPA)i = SGPA in the ith

semester

and Si = total credits in the ith

semester

5.6. Academic performance requirement:

The minimum CGPA requirement for the M. Tech Programme is 6.0 in every

semester with the following provisions. If a student scores CGPA below 6 in any

semester he/she may be allowed to continue in the programme only on the

recommendation of the Academic Committee. A student is given only three chances to

reappear for the examination in the subject in which he has failed ( scoring E or F Grade )

within a period of 5 years from the time of his/her registration to the M Tech course,

provided the student has obtained minimum attendance requirement.

5.7 Class Distinction:

Minimum pass requirement for each written paper is 50 %. A student is eligible

for the degree on completion of 69 credits obtaining at least D in each subject and a

CGPA of at least 6.0. A student is placed in first class with Distinction if he/she has

CGPA ≥ 9. He/ she is placed in First Class if his/ her CGPA is 7≥ and < 9.

5.8 Attendance requirements:

A student should have a minimum of 75% attendance in all the semesters, Medical

leave is granted only twice during the entire duration of the M Tech (two years) and the

student becomes eligible to avail the medical leave only if he/she has a minimum of 60%

attendance. The percentage of attendance for a subject will be indicated by a code

number/letter as given in Table 4 and will be included in the grade card:

9

Table 4: Attendance code

Attendance Rounded to Code

95% and above H

85% and above but

less than 95%

9

75% and above but

less than 85%

8

Below 75% W

6. Structure of Syllabus and Question Paper:

The syllabus would be of non-modular structure. The question paper shall cover

entire syllabus and contain 20% choice.

7. Time limit for completion of Coursework:

The student who has registered for the M. Tech. course has to complete all the

requirements for awarding the degree within 5 years from the date of admission to the

course.

10

Scheme of Studies

Electrical Engineering Stream

INDUSTRIAL INSTRUMENTATION AND CONTROL

11

M.Tech. Programme

Electrical Engineering – Industrial Instrumentation and Control

Curriculum and Scheme of Examinations

SEMESTER I

Code

No.

Name of Subject

Cre

dit

s

Hrs

/

wee

k

Ex

am

du

rati

on

Marks

Continuous

Assessment

University

Exam

Total

EIM1001 Advanced Mathematical

Techniques 3 3 3 50 100 150

EIC1002

Transducers and Measurements

3 3 3 50

100 150

EIC1003 Dynamics of linear systems 3 3 3 50 100 150

EIC1004 Advanced Signal Processing 3 3 3 50 100 150

EIC1005 Process Control Instrumentation 3 3 3 50 100 150

EIC1006 Industrial automation 3 3 3 50 100 150

EIC1101 Instrumentation and Control Lab -

I

1

2

-

50 - 50

EIIC

1102 Project (part 1) 1 - 50 - 50

EIC

1103 Seminar 2 2 - 50 - 50

TOTAL 22 450 600 1050

SEMESTER II

Code No.

Name of Subject

Cre

dit

s

Hrs

/ w

eek

Ex

am

du

rati

on

Marks

Continuous

Assessment

End

Semester

Exam

Total

EIC 2001 Measurement Systems and

error Analysis 3 3 3 50 100 150

EIC 2002 Non Linear Control 3 3 3 50 100 150

** Stream Elective 3 3 3 50 100 150

** Stream Elective 3 3 3 50 100 150

** Departmental Elective 3 3 3 50 100 150

* Interdisciplinary Elective 3 3 3 50 100 150

EIC 2101 Instrumentation and Control

Lab - II

1 2 - 50 - 50

EIC 2102 Project (Part 2) 2 - 100 - 100

EIC 2103 Seminar 2 2 - 50 - 50

TOTAL 23 500 600 1100

12

* Students can select a subject from the subjects listed under Interdisciplinary electives for the

second semester as advised by the course coordinator.

** Students can select a subject from the subjects listed under stream/department electives for the

second semester as advised by the course coordinator.

STREAM ELECTIVES OFFERED IN INDUSTRIAL INSTRUMENTATION

AND CONTROL FOR SEMESTER II

EIE 2001: Analytical Instrumentation

EIE 2002: Optimal Control Theory

EIE 2003: Adaptive and Robust Control

EIE 2004: Modeling of Dynamic Systems

EIE 2005: Virtual instrumentation

EIE 2006: Artificial Intelligence

EIE 2007: Fuzzy Logic, Neural Networks and control

EIE 2008: Instrumentation for Environmental analysis

EIE 2009: Internet for Measurement and Control

EIE 2010: Industrial Communication systems - Communication Protocols for

Instrumentation

DEPARTMENTAL ELECTIVES IN ELECTRICAL ENGINEERING FOR

SEMESTER II

1. EID 2001 Advanced Microprocessors and Microcontrollers

2. EID 2002 Modern Power Converters

3. EID 2003 Advanced Digital Control System

4. EID 2004 Control System Design

5. EID 2005 Power System Instrumentation

SEMESTER III

Code No.

Name of Subject

Cre

dit

s

Hrs

/ w

eek

Ex

am

du

rati

on

Marks Continuous

Assessment End

Semester

Exam

Total

** Stream Elective 3 3 3 50 100 150

** Stream Elective 3 3 3 50 100 150

EIC 3101 Research Methodology 1 - - 50 - 50

EIC 3102 Industrial Training 1 - - 50 - 50

EIC 3103 Thesis-Preliminary 4 14 - 200 - 200

TOTAL 12 23 400 200 600

** Students can select a subject from the subjects listed under stream electives for the third semester as

advised by the course coordinator.

13

STREAM ELECTIVES OFFERED IN INDUSTRIAL INSTRUMENTATION AND

CONTROL FOR SEMESTER III

EIE 3001: Advanced Process Control

EIE 3002: Instrumentation Devices and Systems

EIE 3003: Robotics and automation

EIE 3004: Fibre Optics and Laser Instrumentation

EIE 3005: Nano Technology

EIE 3006: Intelligent Instrumentation

EIE 3007: Principles and Practice of Energy conservation

EIE 3008: Bio-imaging Modalities

EIE 3009: Reliability and Safety Engineering

EIE 3010: Organisational Behaviour & Management

SEMESTER IV

Code No

Subject

Name Cre

dit

s

Hrs

/wee

k Marks

Continuous Assessment University Exam

Total Guide Evaluation

Committee

Thesis

Eva. Viva

Voce

EIC 4101 Thesis 12 29 200 200 100 100 600

Total 12 29 200 200 100 100 600

Note : 6 to 10 hours per week is for department assistance

14

INTERDISCIPLINARY ELECTIVES FOR II SEMESTER

1. API 2001 Urban Environment Management

2. API 2002 Energy Environment & Buildings

3. API 2003 Energy Efficiency and Micoclimate

4. API 2004 Rural Planning and Development

5. CSI 2001 Finite Element Analysis

6. CSI 2002 Theory of Plates and Shells

7. CSI 2003 Advanced Mechanics of Materials

8. CSI 2004 Mechanics of Composites

9. CSI 2005 Random Vibration

10. CEI 2001 Philosophy of Technology

11. CEI 2002 Environmental Management

12. CEI 2003 Environment and Pollution

13. CGI 2001 Geotechnical Engineering for Infrastructure Projects

14. CHI 2001 Fuzzy Sets and Systems in Engineering

15. CTI 2001 Optimisation Techniques

16. CMI 2001 Personnel Management

17. EMI 2001 Biomedical Instrumentation

18. EGI 2001 Navigation, Guidance And Control

19. EPI 2001 Energy Conservation and Management

20. ECI 2001 Engineering Optimization

21. MII 2001 Heuristics for Optimization

22. MII 2002 Financial Management

23. MII 2003 Organizational behavior

24. MII 2004 Operations Research

25. MII 2005 Management Information Systems

26. MDI 2001 Applied Finite Element Methods

27. MDI 2002 Acoustics and Noise Control for Engineers

28. MPI 2001 Computational Fluid Dynamics

29. MTI 2001 Numerical Methods

30. MRI 2001 Finite Element Methods

31. MRI 2002 Advanced Numerical Techniques for Engineers

32. MRI 2003 Total Quality Management

33. MRI 2004 Optimisation Techniques

34. TAI 2001 Mechatronics

35. TMI 2001 Fuzzy Systems & Applications

36. TSI 2001 Artificial Neural Networks

37. MCI 2001 Experimental Stress Analysis

38. MCI 2002 Fracture Mechanics

15

M.Tech -

INDUSTRIAL INSTRUMENTATION

AND

CONTROL

SYLLABUS

16

SEMESTER I

17

EIM 1001: Advanced Mathematical Techniques Credits 3

Vector Spaces and Transformation : Vector spaces, subspace and linear dependence,

concept of basis, representation, norms of vectors and orthonormalization, Linear

transformations, concept of symmetry, inner products, singular value decomposition.

Orthogonal and Unitary Transformation: Orthogonal projections, products of projections,

orthogonal direct sums, Unitary and orthogonal transformations, closed subspaces and the

projection theorem for Hilbert spaces

Basic concept of Probability: Random experiments, sample spaces, axioms of probability,

conditional probability, Bayes theorem. Probability distributions: Probability distribution

function, probability density function, Binomial, Normal, Poisson, uniform, exponential

and gamma distribution.

Review of Complex variables, Conformal mapping and transformations, Functions of

complex variables, Integration with respect to complex argument, Residues and basic

theorems on residues.

Numerical Analysis: Introduction, Interpolation formulae, Difference equations, Roots of

equations, Solutions of simultaneous linear and non-linear equations, Solution techniques

for ODE and PDE.

Engineering applications of optimization, optimization problem, classification of

optimization problems and techniques. Conditions for optimality, convexity, steepest

descent method, conjugate gradient method, Newton's method.

. References

1. Sen, M. K. and Malik, D. F.-Fundamental of Abstract Algebra, Mc. Graw Hill

2. Khanna, V. K. and Ghamdri, S. K.- Course of Abstract Algebra,Vikash Pub.

3. Halmos, T. R.-Naïve Set Theory,Van Nostrand

4. Scarborough, J. B.-Numerical Mathematical Analysis, Oxford University

PressCone, S. D.-Elementary Numerical Analysis, Mc. Graw Hill.

5. Mukhopadhyay ,P.-Mathematical Statistics ,New Central Book Agency

6. Kapoor, V. K and Gupta, S.C.-Fundamental of Mathematical Statistics,Sultan

Chand and Sons.

7. Uspensky, J. V.-Introduction to Mathematical Probability, Tata Mc. Graw Hill

8. Dreyfus, S. E.-The Art and Theory of Dynamic Programming –Theory and

Applications, Academic Press .

9. Chen C. T., ‘Linear Systems: Theory & Design’, (Oxford University Press New

York), (1999).

10. Charles W. Curtis, ‘Linear Algebra: An Introductory Approach’, (Springer (India)

Pvt. Ltd.), (2004).

11. Strang G., ‘Linear Algebra And Its Applications’. (Thomson Brooks, Australia),

(1998).

13. Gilbert Jimmie and Gilbert Linda, ‘Linear Algebra and Matrix Theory’, (Elsevier

India Publishing Co.,New Delhi), (2005).

14. S. S. Rao, Optimization Theory and Applications:, New Age International

Publications

15.. K. V. Mital and C. Mohan ,Optimization Methods in Operations and Research

Systems Analysis:, New Age International Publications

18

EIC 1002 : Transducers and measurements

Review of Instrumentation Transducers : Static and dynamic characteristics of sensors,

Resistive, Inductive and Capacitive sensors and signal conditioning circuits. Temperature,

pressure, flow and level measurement techniques. pH and conductivity sensors. Piezo-

electric and ultrasonic sensors and their application in process Instrumentation.

Measurement of viscosity, humidity and thermal conductivity.

Optical Instrumentation: devices, intensity modulation and interferometric technique. Hall

effect transducers and Opto-Electronic Transducers.

Special Transducers: Magnetostrictive, Electromagnetic transducers, thermo-electric

sensor, semiconductor temperature sensors Power system transducers. Measurement of Voltage, current, power.factor, frequency, power and VAR Nucleonic gauges: Sources Detectors and applications.

Smart Sensors. Multi-output (including digital) Transducers for various applications

Mechanical Characteristics of transducers: Electrodynamic transducers, eddy current,

damping resonance effects, design considerations. Force balance transducers. Static

performance –sensitivity, linearity, threshold, dynamic performance – harmonic response

and bandwidth, transient response, phase compensation, velocity feed back, applications

Analog Signal Conditioning techniques: AC and DC bridges. Bridge amplifier, carrier

amplifiers, charge amplifiers and impedance converters, modulation - demodulation,

dynamic compensation, linearization, multiplexing and demultiplexing.

Digital Interfacing techniques. Interfaces, processors, code converters, linearizers. Single

transmission .Cable transmission of analog and digital signal, fibre optic signal

transmission, radio, telemetry, pneumatic transmission. Signal Display/Recording

systems. Graphic display systems, storage oscilloscope, recorders-ink, thermal, and UV.

References

1. Doeblin, E.O. – Measurement Systems: Application and Design, Mc Graw Hill

International.

2. Patranabis, D – Sensors and Transducers, Wheeler Pub., New Delhi.

3. Murthy, D.V.S., Transducers and Instrumentation, PHI, New Delhi.

4. Swobada, G. – Telecontrol: Methods and Applications of Telemetry and Remote

Control. Van Nostrand.

5. Newbert, H. K. – Instrument Transducers, Oxford University Press.

6. J. Wilson, J.F.B. Hawkes, ‘Laser Principles and Applications’,.( Prentice-Hall, New

York), (1987)

7. J. Wilson, ‘Optoelectronics’, 2nd Edition,( Prentic-Hall, India) ( 1999)

19

EIC1003 : Dynamics of linear systems Credits 3

Dynamics and control: An overview, control system configuration, model selection, need

for dynamic models, dynamic model by averaging: averaging a variable, averaging a

circuit, averaging a switching function, averaging a switch.

Linearized models : Linearization, linearizing a circuit, linearizing the average switch

Feedback control: The classical LTI control configuration, nominal stability, nominal

performance,Robustness,

State space models: features of state space models, state variables, inputs and outputs,

continuous Time models, state space models for Electrical Circuits, properties of

solutions, the state property, numerical solution, the continuity property, discrete time or

sampled data models. Models for controllers and interconnected systems.

Linear and piecewise models: Linearization, linearizing continuous time models. Analysis

of continuous time LTI models : transform domain solution, time domain solution,

piecewise LTI models, linearizing discrete time models: time domain solution, transform

domain solution, transfer function and frequency response. Eigenvalue & eigenvector

analysis for controllability and observability

Feed back control design : classical control design, the Nyquist stability criteria, a design

approach. Using Bode plots, designing of Bode plots of the loop gain, multi loop control :

State feedback: Pole placement by LTI state feedback, Nonlinear state feedback &.

Digital control.

References

1. Ogata, K.- State Space Analysis of Control Systems , Prentice Hall.

2. John G Kassakein, Martin F. Schlecht, George C. Verghese,- Principle of Power

Electronics , Addision Wesley publishing company. 1991.

3. Schulz,D. G. and Melsa ,J. L.- State Functions and Linear Control Systems, McGraw

Hill,NY.

4. Graham C Goodwin, Stefan F Graebe, Mario E Salgado.- Control System Design, PHI

20

EIC 1004 : Advanced Signal Processing Credits 3

Time frequency analysis, the need for time frequency analysis, Time frequency

distribution, Short time Fourier Transform, Wigner distribution.

Multirate digital signal processing: Basic multirate operation (up sampling, down

sampling), Efficient structures for decimation and interpolation, Decimation and

interpolation with polyphase filters, Noninteger sampling rate conversion , Efficient

multirate filtering Applications, Oversampled A/D and D/A converter.

Stochastic Processes: Introduction, WSS signals and linear systems, spectral factorization,

models of stochastic processes, vector processes.

Spectral estimation: Periodogramm-based nonparametric methods: Periodogram,

Bartlett's method, Welch's method, Blackman-Tukey method . Parametric methods for

power spectrum estimation: ARMA modeling, Yule- Walker equation and solution.

Adaptive filtering : Principles of Adaptive filtering , LMS and RMS Algorithms,

Applications in noise and echo cancellation, Homomorphic Signal Processing ,

homomorphic system for convolution, properties of complex-spectrum, Applications of

homomorphic deconvolution.

Multiresolution Signal analysis, Decompositions, transforms , Subbands and wavelets,

Orthogonal transforms : Cosine , sine , Hermite Walsh Fourier, Theory of subband

decomposition , decimation , interpolation , Design of QMF filter banks ,Wavelet

transforms .

References:

1. J. Proakis , Charles M. Rader, Fuyun Ling, Christopher L. Nikias, ‘Advanced Digital

Signal Processing’, (Macmillan Coll Div) (1992)

2. Glenn Zelniker, Fred J. Taylor, ‘Advanced Digital Signal Processing’, (CRC Press)

(1994)

3. Leon Cohen, "Time Frequency Analysis", (Prentice Hall), (1995).

4.. Haykins, "Adaptive Filter theory", (Prentice Hall) (1986)

5. A.V.Oppenheim and R.W.Schafer, "Discrete time Signal Processing", (Prentice Hall)

(1992)

6. P.P. Vaidyanathan, "Multirate systems and Filter banks", (Prentice Hall) (1993)

7. Steven M . Kay , "Modern Spectrum Estimation", (Prentice Hall) (1988)

21

EIC 1005 Process Control and Instrumentation credits 3

Special Characteristics of process systems: Large time constants, Interaction,

Multistaging, Pure Lag; Control loops for simple systems: Dynamics and stability.

Generation of control actions in electronic pneumatic controller. Tuning of controllers

Zeigler Nichols and other techniques. Different control techniques and interaction of

process parameters e.g. Feed forward, cascade, ratio, Override controls. Batch and

continuous process controls. Multi variable control. Feed forward control schemes.

Characteristics of ON-OFF, P, PI, PD and PID control schemes. Electronic PID

controller, Digital PID algorithms. Practical forms of PID controller, Pneumatic and

electric actuators. Control valves, Valve positioners , Relief and safety valves, Relays,

Volume boosters, Pneumatic transmitters for process variables.

Various process schemes/ Unit operations and their control schemes e.g. distillation

columns absorbers, Heat exchangers, Furnaces, Reactors, Mineral processing industries

pH and blending processes.

Nucleonic instrumentation and its application in industries.

Computer control of processes: Direct Digital Control (DDC), Supervisory Control and

advanced control strategies.

Measurement, control and transmission of signals of process parameters like flow,

pressure, level and temperature

References:

1. Stephananopoulos G- Chemical Process control- An Introduction to theory and

practice, PHI, 1990.

2. Luyben W L – Simulation and control for chemical engineers, 1989, 2nd Edition, Mc

Graw Hill.

3. Harriot,- Process control, TMH, New Delhi.

4. Patranabis,D.- Principals of Industrial Instrumentation, TMH NewDelhi.

5. Johnson, C – Process Control Instrumentation Technology, PHI New Delhi.

6. Bequette B.W, – Process control Modelling, Design and simulations, Prentice Hall of

India 2004

7. Coughanower and Koppel, -Process System Analysis and Control, Mc. Graw Hill.

22

EIC 1006 Industrial Automation credits 3

Introduction: Introduction to automation tools PLC, DCS, SCADA, Hybrid DCS/PLC.

DCS Project: Development of User Requirement Specifications, Functional Design

Specifications for automation tool, GAMP, FDA.

Programmable Logic Controllers: Introduction of Advanced PLC programming, Selection

of processor, Input/output modules, Interfacing of Input/output devices, Operator

Interface, OPC, study of SCADA software, Interfacing of PLC with SCADA software.

DCS: Introduction to architecture of different makes, DCS Specifications, configuration

of DCS blocks for different applications, Interfacing of protocol based sensors, actuators

and PLC systems, Plant wide database management, Security and user access

management, MES, ERP Interface.

Study of Advance Process control blocks: Statistical Process Control, Model Predictive

Control, Fuzzy Logic Based Control, Neural-Network Based Control Higher Level

Operations: Control & Instrumentation for process optimization Applications of the above

techniques to the some standard units/processes

References:

1. Gary Dunning, ‘Introduction to Programmable logic Controllers’,(Delmar Publisher)

2. Webb & Reis, ‘Programmable logic Controllers’, (Prentice Hall of India)

3. Jose A. Romagnoli, Ahmet Palazoglu, ‘Introduction to process Control’ (CRC Tylor

and Francis

group)

4. Statistical Process Control –ISA Handbook

5. B.G. Liptak ‘Handbook of Instrumentation- Process Control’

6. Installation and user manuals of different DCS, PLC Vendors

7. Parr A –Programmable Controllers :An Engineers’ Guide ,Newnes,

Butterworth-HeinnemanLtd-1993.

23

EIC 1101 Instrumentation and Control Lab-I credit 1 1. Study and Use of Transducers

a. Strain gauge

b. L.V.D.T

c. Thermocouple

d. Pressure gauge

e. Load cell

f. Gyroscope

2. Analog to Digital and Digital to Analog converters

3. Implementation of Data Acquisition Systems

a. Interfacing of Thermocouple with computer

b. Interfacing of L.V.D.T with computer

c. Interfacing of Pressure gauge with computer

4. Experiment on Temperature Control plant

5. Experiment on Pressure control plant

6. Experiment on Flow control plant

7. Experiment on Level control plant

8. Designing of P,PI and PID Controllers for Position Control system

9. (i) Simulation of DC motor on analog Computer (ii) Study of the effect of P,PI

and PID Controllers on static and dynamic characteristics

10. Use of software tools for control and Instrumentation system Design- MATLAB/

SIMULINK

EIC 1102 PROJECT PART I Credit: 1

Each student is expected to do a project work independently in any area related to

their field of study in Electrical Engineering under the guidance of a faculty member. The

project has two parts (Part I in semester and Part-II in semester -2). The project can be

conveniently divided into two parts as advised by the guide and the first part is to be

completed in the semester. The student has to submit a report of the work completed in

soft bonded form and to make a multimedia presentation before the evaluation committee

at the end of the semester. The second volume is the final project report to be submitter in

the second semester.

Marks:

Project work and project report evaluation : 25

Presentation & Viva- Voce : 25

EIC 1103 SEMINAR Credit: 1

The student is expected to present a seminar in one of the current topics in

Industrial Instrumentation and Control and related areas. The student will under take a

detailed study based on current published papers, journals, books on the chosen subject

and submit seminar report at the end of the semester.

Marks:

Seminar Report Evaluation: 25

Seminar Presentation: 25

24

SEMESTER II

25

EIC 2001 Measurement systems and error analysis Credits 3

Fundamental methods of measurements, concept of a generalized measurement system,

types of measurements, Experimental engineering analysis. Static performance

characteristics-static sensitivity, Linearity, Threshold Resolution, Hysteresis and Dead

span and readability of scale.

Generalized static stiffness & input and output impedances. Dynamic performance

characteristics, Generalized mathematical model of measurement system, operational

transfer function. Input types, order of instruments. Response of zero, first and second

order instruments to step, ramp and sinusoidal inputs. Transient and frequency response.

Requirements of instrument transfer function for accurate measurement. Numerical

correction of dynamic data. Experimental determination of measurement system

parameters. Loading effect under dynamic conditions. Accuracy and precision. Errors of

measurement, types of errors, statistical analysis of data, Systematic (nonrandom) errors,

Determination and minimization of systematic errors, Probability concept,Normalized

histograms, Probability distribution functions; Gaussian error curves, Accidental

(random) errors, calculation of mean value and standard deviation from the

measurements, confidence limits, conversion tables, Testing a distribution for normalcy,

Propagation of error, significance test & Chi-square test, Contingency table. Model of

measurement systems, Regression analysis of data, Best fit curve and estimation of

model; Combination of errors. Methods of measurements – Classification and examples;

Instrument scales and reading errors; Methods of minimization and elimination of errors

due to noise in measured data – Input-output configuration, filtering, averaging and

correlation techniques; Errors in digital instruments.

References:

1. Holman J P – Experimental Methods for Engineers, Mc Graw Hill Book Co.,

International Student

Edition, 1966.

2. Cook N H and Robinowicz E – Physical Measurements and Analysis, Addison Wesley,

1965.

3. Schenk – Engineering Experimentation, McGraw Hil

26

EIC 2002 Nonlinear Control credits 3

Linear versus nonlinear systems, Non linear systems: Modelling Quasi-linearisation,

stability of non-linear systems, phase plane methods: Analysis of non-linear systems

using phase plane technique, Existence of limit cycles. Linearization: Exact linearization,

input-state linearization, input-output linearization. Describing function methods:

Reliability of describing method analysis. Compensation and design of nonlinear system

using describing function method. deriving describing function from FFT, Popov’s circle

criterion, stability analysis using Lyapunov method, parameter plane analysis.

Modal control, Pole allocation by SV and output feed back. Order reduction of linear

system.

Linear Optimal Control with quadratic performance index formulation, matrix Riccati

equation, special cases, Lyapunovs’s equation, LQR problem with prescribed degree of

stability (Anderson formulation).

References:

1. Tan,J.-Modern Control Theory, Mc. Grawhill.

2. Gibson, J.E.- Non linear system , Mc. Grawhill.

3. Alhems M and Falb P.L-Optimal Control, Mc. Grawhill.

4. Anderson and Moore- Optimal Control,PH

5. Bryon and Ho – Applied Optimal Control, John Wiley.

6. Thomson and Stevant- Nonlinear and dynamics and control,Wiley.

7. Vidyasagar- Nonlinear system analysis,PH

8. Atherton,- Nonlinear Control Engineering, Van Nostrand

27

EIC 2101 Control and Instrumentation lab-II credit 1

Designing of Ladder logic for various practical applications, Execution of the Ladders

using PLC’s.

Study of Analog and Digital Servo Systems.

Experiments on Position Control System, Velocity Control System,

Experiments on Adaptive Control System and Non- Linear Control Systems

Data acquisition and control using LabVIEW

EIC 2102 PROJECT PART II credits 2

Each student has to complete the project selected in Project Part – I, prepare and submit a

report and present a Seminar, highlighting the work done by him / her. The report shall be

of hard bound type and consists of design phase report as volume I and other part as

Volume II.

Marks: Project work and report evaluation: 50

Presentation and Viva – Voce : 50

EIC 2103 SEMINAR credits 2

The student is expected to present a seminar in one of the current topics in

Industrial Instrumentation and Control and related areas. The student will under take a

detailed study based on current published papers, journals, books on the chosen subject

and submit seminar report at the end of the semester.

Marks: Seminar Report Evaluation: 25

Seminar Presentation: 25

28

STREAM ELECTIVES OFFERED FOR

SEMESTER –II

EIE 2001: Analytical Instrumentation credits 3

Introduction- Difference between analytical and other instruments. Online

instrumentation and laboratory, Classical and Instrumental methods, Classification of

Instrumental techniques, important considerations in evaluating an instrumental method,

Absorption methods:

a. Spectrometric UV and VIS methods: Laws of photometry, Instrumentation.

b. IR spectrometry: correlation of IR spectra with molecular structure, Instrumentation.

c. Atomic absorption spectrometry: Principle, Instrumentation

Emission methods: Flame, AC/DC arc, spark, plasma excitation sources, instrumentation

Spectrofluroscence and phosphorescence spectrometer: Instrumentation, Raman

spectrometer.

Mass spectrometer: Ionisation methods, mass analysers, mass detectors, FTMS.

Chromatography: Classification, Gas chromatography, Liquid chromatography,

Instrumentation

29

X-ray and Nuclear methods: x-ray absorption, fluorescence and diffractometric

techniques, electron microscope and microprobe, ESCA and Auger techniques, nuclear

radiation detectors.

NMR spectroscopy: Principle, chemical shift, spin-spin coupling, instrumentation, types

of NMR.

Electroanalytical methods: potentiometry, voltammetry, coulometry techniques

. References:

1. Willard, Merritt, Dean and Settle, Instrumental Methods of Analysis, 7th edition, (CBS

publishers, New Delhi).

2. Galen W. Ewing, Instrumental Methods of Chemical Analysis, 5th edition, (McGraw-

Hill Book

Company)

3. Patranabis D- Principles of Industrial Instrumentation, TMH publication, New Delhi,

1976.

4. Liptak B G(Ed) – Instrument Engineers Handbook, Volume I and II and supplement I

and II, Chilton book co., Philadelphia, 1972.

5. Jones E B- Instrument technology, Volume II, Analysis instruments, Butterworth

Scientific Publication , London.

6. O’Higgins P J - basic Instrumentation in industrial measurements, McGraw Hill Book

co, NY 1966.

7. Skoog D A and West D M- Principles of Instrumental Analysis.

EIE 2002: Optimal Control Theory credits 3

Calculus of variations- Fundamental concepts . Functional of single function- Euler -

equation-General variation of a functional- Functionals of several independent functions-

Boundary conditions. Piecewise smooth extremals. Constrained extremisation of

functionals-Point constraints-differential equation constraints-isoperimetric constraints.

Optimal control problem . Problem Formulation . Performance measures for various types

of optimal control problems- Linear Regulator problem- Tracking problem-Minimum

time problems-Minimum energy problems-Definitions of LQG/LQR problems-

Introduction to the applications of optimal control design-Examples.

Variational approach to optimal control problems-Necessary conditions for optimal

control with different- Boundary conditions in optimal control problem. Linear regulator

problem . matrix Riccati equation and its solution Tracking problem. Pontryagin’s

maximum principle- State inequality constraints - Minimum time problems- Minimum

control effort problems.

30

Computational methods in optimal control. application of mathematical programming.

Singular perturbations, practical examples

. References:

1. Donald E. Kirk, Optimal Control Theory: An introduction, Dover Publications

2004.

2. Andrew P. Sage, Optimum Systems Control, Prentice Hall,1977.

3. HSU and Meyer, Modern Control:. Principles and Applications, McGraw

Hill,1968.

EIE 2003: Adaptive and Robust Control credits 3

System identification. Problem statement, classical stochastic approach, Kalman filters,

structure of on line parameter identifiers. Adaptive control. Need for adaptation,

parameter plane analysis, limitation of gain-schedule, structure of self adaptive and auto

tuned control systems, stability of adaptive controller. Multivariable Frequency domain

approach for linear systems. Characteristics loci, Nyquist arrays, stability criteria,

decoupling and compensation.

Robust control. Definition and problem statement, the H(n) norm, H infinity norm,

frequency domain formulation, state space formulation robust stabilization H2 optimal

control, H infinity control.formulation.

References:

1. Astrom, - Adaptive Control Techniques, Pearson.

2. Sastry, S. and Bodson,- Adaptive Control ( Stabily, Convergence and robustness),

3. Peter Dorato,- Robust Control.

4. Morari and Zafirious, - Robust Process Control,

EIE 2004: Modeling of Dynamic Systems credits 3

Systems approach: Classification of inputs and models, Analytical and experimental

methods of modelling: transform methods.

Energy approach of modelling: Co-ordinates and velocities, Generalized co-ordinates,

Degrees of freedom, The Lagrangian, Rayleigh dissipation function. Application to a

simple pendulum, simple circuit, elastic pendulum, capacitor microphone, spherical

elastic pendulum. Levy’s curve fitting technique: Methods based on decomposition,

Levy’s basic theory, Levy’s special technique.

Least squares method: Regression function, least squares estimator, minimum variance

estimator, sequential least-squares estimation, multi-dependent variable system, and

recursive estimation for increasing parameter numbers.

Application of above techniques in modeling of thermal, chemical, electrical, medical

health, population, and agricultural systems etc.

References:

31

1. Nicholson, H. - Modeling Of Dynamical Systems Vol 1 & 2 , IEE Control

Engineering Series , Peter Peregrinsun Ltd.

2. Chee-Mun Ong – Dynamic Simulation of Electric Machinery (Using

MATLAB / SIMULINK) ,Prentice Hall PTR.

EIE 2005: Virtual instrumentation credits 3 Virtual Instrumentation: Historical perspective, advantages, block diagram and

architecture of a virtual instrument, data-flow techniques, graphical programming in data

flow, comparison with conventional programming. Development of Virtual Instrument

using GUI, Real-time systems, Embedded Controller, OPC, HMI / SCADA software,

Active X programming VI programming techniques: VIS and sub-VIS, loops and charts,

arrays, clusters and graphs, case and sequence structures, formula nodes, local and global

variables, string and file I/O, Instrument Drivers, Publishing measurement data in the

web. Data acquisition basics: Introduction to data acquisition on PC, Sampling

fundamentals, Input/Output techniques and buses. ADC, DAC, Digital I/O, counters and

timers, DMA, Software and hardware installation, Calibration, Resolution, Data

acquisition interface requirements. VI Chassis requirements. Common Instrument

Interfaces: Current loop, RS 232C/ RS485, GPIB. Bus Interfaces: USB, PCMCIA, VXI,

SCSI, PCI, PXI, Firewire. PXI system controllers, Ethernet control of PXI. Networking

basics for office & Industrial applications, VISA and IVI. VI toolsets, Distributed I/O

modules. Application of Virtual Instrumentation: Instrument Control, Development of

process database management system, Simulation of systems using VI, Development of

Control system, Industrial Communication, Image acquisition and processing, Motion

control.

References:

1. Gary Johnson, LabVIEW Graphical Programming, Second edition, McGraw Hill,

Newyork, 1997.

2. Lisa K. wells & Jeffrey Travis, LabVIEW for everyone, Prentice Hall, New Jersey,

1997.

3. Kevin James, PC Interfacing and Data Acquisition: Techniques for Measurement,

Instrumentation and Control, Newnes, 2000.

www.ni.com

EIE 2006: Artificial Intelligence credits 3

Basic problem solving methods : Production systems – State space search – Control

strategies – Heuristic search – Forward and backward reasoning – Hill Climbing

techniques – Breadth first search – Depth first search – Best search – Staged search.

Knowledge representation : Predicate logic – Resolution Question answering –

Nonmonotic reasoning – Statistical and probabilistic reasoning – Semantic Nets –

Cenceptual dependency – Frames – Scripts.

Al Languages : Important characteristics of Al languages – PROLOG.

Introduction to expert system – interaction with an expert. Design of an expert system.

Neural Networks : Basic structure of a neuron Perception Feedforward, Back

propagation, Hopfield Network.

References:

32

1. Rich E and Knight K – Artificial Intelligence, Tata McGraw Hill, New Delhi, 1991.

2. Nilsson N J – Principals of Artificial Intelligence, Springer Verlag, Berlin, 1980.

3. Barr A, Fergenbaum E A and Cohen P R – Artificial Intelligence, Addison-Wesley,

Reading

(Mass), 1989.

4. Waterman DA – A Guide to Expert System, Addison-Wesley, Reading (Mass), 1986.

5. Artificial Intelligence Handbook, Vol 1-2, ISA, Research Triangle Park, 1989.

6. Kos Ko B – Neural Networks and Fuzzy System, PHI.

7. Russel – Artificial Intelligence, Pearson.

8. Luger- Artificial Intelligence, 4/e Pearson.

9. Patterson- Introduction to Artificial Intelligence and Expert Systems, PHI.

EIE 2007: Fuzzy Logic, Neural Networks and control credits 3

Introduction to Neural Networks: Artificial Neural Networks: Basic properties of

Neurons, Neuron Models, Feedforward networks – Perceptrons, widrow-Hoff LMS

algorithm; Multilayer networks – Exact and approximate representation, Back

propagation algorithm, variants of Back propagation, Unsupervised and Reinforcement

learning; Symmetric Hopfield networks and Associative memory; Competitive learning

and self organizing networks, Hybrid Learning; Computational complexity of ANNs.

Neural Networks Based Control: ANN based control: Introduction: Representation and

identification, modeling the plant, control structures – supervised control, Model

reference control, Internal model control, Predictive control: Examples – Inferential

estimation of viscosity an chemical process, Auto – turning feedback control, industrial

distillation tower.

Introduction to Fuzzy Logic: Fuzzy Controllers: Preliminaries – Fuzzy sets and Basic

notions – Fuzzy relation calculations – Fuzzy members – Indices of Fuzziness –

comparison of Fuzzy quantities – Methods of determination of membership functions.

Fuzzy Logic Based Control: Fuzzy Controllers: Preliminaries – Fuzzy sets in commercial

products – basic construction of fuzzy controller – Analysis of static properties of fuzzy

controller – Analysis of dynamic properties of fuzzy controller – simulation studies – case

studies – fuzzy control for smart cars. Neuro – Fuzzy and Fuzzy – Neural Controllers:

Neuro – fuzzy systems: A unified approximate reasoning approach – Construction of role

bases by self learning: System structure and learning algorithm – A hybrid neural network

based Fuzzy controller with self learning teacher. Fuzzified CMAC and RBF network

based self-learning controllers.

References:

1. Bose and Liang, Artificial Neural Networks, Tata Mcgraw Hill, 1996.

2. Kosco B, Neural Networks and Fuzzy Systems: A Dynamic Approach to

MachineIntelligence, Prentice Hall of India, New Delhi, 1992.

3. Klir G.J and Folger T.A, Fuzzy sets, Uncertainty and Information, Prentice Hall

of India, New Delhi 1994.

4. Simon Haykin, Neural Networks, ISA, Research Triangle Park, 1995.

33

EIE 2008: Instrumentation for Environmental analysis

credits 3

Electromagnetic radiation, Characteristics - Interaction of e.m. radiation with matter -

Spectral methods of analysis - absorption spectroscopy - Beer’s law - radiation sources -

monochromators and filters - diffraction grating - ultraviolet spectrometer - single beam

and double beam instruments.

Particles emitted in radioactive decay - nuclear radiation detectors - injection chamber -

Geiger - Muller counter - proportional counter - scintillation counter – Semiconductor

detectors.

Measurement techniques for water quality parameters - conductivity - temperature -

turbidity. Measurement techniques for chemical pollutants - chloride - sulphides - nitrates

and nitrites - phosphates - fluoride - phenolic compounds.

Measurement techniques for particulate matter in air. Measurement of oxides of

sulphur,oxides of nitrogen unburnt hydrocarbons, carbon-monoxide, dust mist and

fog.Noise pollution – measurement of sound, tollarable levels of sound. Measurement of

sound level. Measurement techniques for soil pollution.

References:

1. H.H. Willard, Merrit and Dean, “Instrumental Methods of Analysis”, 5th Edn., 1974.

2. R.K. Jain, “Fundamentals of Mechanical and Industrial Instrumentation”, 1985.

3. S.P. Mahajan, “Pollution Control in Process Industries”, Tata McGraw Hill, 1985.

4. G. N. Pandey and G.C. Carney, “Environmental Engineering”, Tata McGraw-Hill,

1989

EIE 2009: Internet for Measurement and Control credits 3

Introduction to Internet: Origin of Internet – Overview of TCP / IP layers – IP addressing

– DNS – Packet switching – Routing – SMTP, POP, MIME, NNTP, ftp, Telnet, HTML,

HTTP, URL, SNMP, RFCs, FYIs – STDs.

Physical Layer Aspects: Backbone network – Trunks, Routers, Bridges – Access

network – MODEMs, WILL, ISDN, XDSL, VSAT. Network Layer Aspects and Network

Security: IPVG, Mobile IP – IPSEC – IPSO – Public key cryptography – digital signature

standard – firewall – Secure socket Layer SSL – Secure Data Network System SDNS –

Network layer security Protocol NLSP – Point to point Tunneling Protocol PPTP –

SHTTP.

Measurements through Internet: Web based data acquisition – Monitoring of plant

parameters through Internet – Calibration of measuring instruments through Internet.

Internet based Control: Virtual laboratory – Web based Control – Tuning of controllers

through Internet.

34

References:

1. Douglas E. Camer, Internet working with TCP/IP, Vol. I, Third Edition, Prentice

Hall, 1999.

2. Richard Stevens, TCP/IP illustrated, Vol. I, Addison Wesley, 1999.

3. Richard E. Smith, Internet Cryptography, Addison Wesley, 1999.

4. Alessandri Ferrero and Vincenzo Piuri, A simulation Tool for Virtual Laboratory

Experiments in WWW environment, IEEE Transactions on IM, Vol. 48, 1999.

EIE 2010: Industrial Communication systems - Communication

Protocols for Instrumentation credits 3 An Introduction to Networks in process automation: Information flow requirements,

Hierarchical communication model, Data Communication basics, OSI reference model,

Industry Network, Recent networks.

Introduction to Communication Protocols: Communication basics, Network

Classification, Device Networks, Control Networks, Enterprise Networking, Network

selection. Proprietary and open networks: Network Architectures, Building blocks,

Industry open protocols (RS-232C, RS- 422, RS-485), Ethernet, Modbus, Modbus Plus,

Data Highway Plus, Advantages and Limitations of Open networks.

Fieldbus: Fieldbus Trends, Hardware selection, Fieldbus design, Installation,

Documentation, Fieldbus advantages and limitations.

. HART: Introduction, Design, Installation, calibration, commissioning, Application in

Hazardous and Non-Hazardous area.

Foundation Fieldbus & Profibus: Introduction, Design, Calibration, Commissioning,

Application in Hazardous and Non-Hazardous area.

Introduction to wireless Protocols: WPAN, Wi-Fi, Bluetooth, ZigBee, Z-wave

References:

1. B.G. Liptak, ‘Process Software and Digital Networks:, (CRC Press ISA- The

Instrumentation,

Systems, and Automation Society).

2. Romilly Bowden , ‘HART Communications Protocol’, (Fisher-Rosemount).

3. User Manuals of Foundation Fieldbus, Profibus, Modbus, Ethernet, Devicenet,

Controlnet.

35

DEPERTMENT ELECTIVES OFFERED

FOR SEMESTER –II

EID 2001

Advanced Microprocessors and Microcontrollers credits 3

Internal architecture of 8086 CPU, instruction set and programming, assembly language

programming on IBM PC, ROM bios and DOS utilities.

8086 basic system concepts, signals, instruction queue, MIN mode and MAX mode, bus

cycle, memory interface, read and write bus cycles, timing parameters. Input/output

interface of 8086, I/O data transfer, I/O bus cycle. Interrupt interface of 8086, types of

interrupts, interrupt processing. DMA transfer, interfacing and refreshing DRAM, 8086

based multiprocessing system, 8087 math coprocessor. Typical 8086 based system

configuration, keyboard interface, CRT controller, floppy disk controller, Introduction to

higher bit processors, 80286, 80386, 80486, Pentium. A typical 16 bit Microcontroller

with RISC architecture and Integrated A-D converter e.g. PIC18Cxxx family: Advantages

of Harvard Architecture, instruction pipeline, analog input, PWM output, serial I/O,

timers, in-circuit and self programmability. Instruction set. Typical application.

Development tools.

36

References:

1. Ray,A. K. and Bhurchandi ,K. M.- Advanced Microprocessor and peripherals,

architecture, programming and interfacing, TMH

2. Hall, D.V.- Microprocessor & Interfacing –Programming & Hardware –

8086,80286,80386,80486, , TMH

3. Rajasree, Y.- Advanced Microprocessor, , New Age International Publishers

4. .Brey,B. B.-The Intel Microprocessor 8086/8088, Pentium , Pentium Processor, PHI.

5. Ayala , K. J.-The 8086 Microprocessor, Thomson Delmar Learning.

7. Cady ,F. M.- Microcontrollers & Microcomputers Principles of Software &Hardware

Engineering. Oxford University Press

8. Tabak ,D. Advanced Microprocessors ,TMH

9. Deshmukh,-Microcontrollers : Theory and Application.TMH

EID 2002: Modern Power Converters credits 3

Introduction to switched mode power converters, Generalized comparison between

switched mode and linear DC regulators, operation and steady state performance of Buck,

Boost, Buck-Boost and Cuk Converters: Continuous conduction mode, discontinuous

conduction mode and boundary between continuous and discontinuous mode of

operation, out put voltage ripple calculation, effect of parasitic elements. DC-DC converter with isolation: Fly back converters- other fly back converter topologies,

forward converter, The forward converter switching transistor- Variation of the basic

forward converter, Push pull converter-Push pull converter transistor-Limitation of the

Push Pull circuit-circuit variation of the push pull converter-the half bridge and full

bridge DC-DC converters. High frequency inductor design and transformer design

considerations, magnetic core, current transformers.

Resonant converters: Introduction, Classification: Load resonant, Resonant switch,

Resonant DC link, High frequency link integral Half cycle converters: Series and parallel

loaded converters in continuous and discontinuous mode of operation, Hybrid resonant

DC-DC converter, zero current switch (ZCS), zero voltage switch (ZVS), resonant switch

converter, ZCS-clamped voltage converters (ZCS-CV), resonant DC link converters with

ZVS.

Control of switched mode DC power supplies: Voltage feed forward PWM control,

current mode control, digital pulse width modulation control, isolation techniques of

switching regulator systems: soft start in switching power supply designs, current limit

circuits, over voltage protection circuit. A typical monolithic PWM control circuit and

their application: TL 494. Power factor control in DC-DC converters. Electromagnetic

and radio frequency interference, conducted and radiated noise, EMI suppression, EMI

reduction at source, EMI filters, EMI screening, EMI measurements and specifications.

Power conditioners and Uninterruptible Power Supplies, Types of UPS-Redundant and

Non Redundant UPS.

: References:

1. Mohan, Undeland, Robbins-Power Electronics: Converters, Application and

Design, John Wiley & Sons, 1989

2. A.I. Pressman –Switching mode power supply design-MGH, 1992

37

3. M. H. Rashid- Power Electronics, PHI, 2004

4. Michel, D. –DC-DC Switching Regulator Analysis

5. Lee, Y. –Computer Aided Analysis and Design of Switch Mode Power Supply

6. Staff, VPEC. – Power Device & their application

EID 2003: Advanced Digital Control System credits3

Review of Basic system concepts and classification of digital control system, feedback

systems and digital control, sampling and reconstruction of signals, computer interfacing,

discrete time system response, convolution of sequences. Z-transform, pulse transfer

function, signal-flow graph method applied to digital systems.

State variable technique. state equations and state transition equation of discrete-data

system, state equation of digital system with sample and hold. Stability of digital control

systems. Definitions of stability, stability tests of digital systems. Digital simulation-

digital model with sample and hold. Comparison of time responses of continuous data and

digital control system, correlation between time response and root locations in the s-plane

and the z-plane, root loci for digital control system, steady-state error analysis of digital

control system, frequency domain analysis, the Nyquist plot, bode diagram, gain margin,

phase margin. Theorems on controllability and observability (time varying & time

invariant systems) relationship between controllability, observability and transfer

functions. Design of digital control system: Cascade & feedback compensation with

continuous data controllers, digital controller, Design of digital control system

with digital controller. The digital PID controller, controller through the bilinear

transformation, design of digital control system with dead beat response.

References:

1. Gopal, M. – Digital Control Engineering, New Age International. New Delhi.

2. Kuo, B. C. – Digital Control Systems , Oxford University Press.

3. Kuo, B. C. – Analysis and Synthesis of sampled-data control system, PH

4. Houpies, C. H. - Digital Control Systems (Hardware and Software),

5. Philips and Nagle – Digital Control System Analysis and Design.

EID 2004: Control System Design credits3

Design concepts in continuous time control systems: Design of compensators: Lead

Compensator, Lag compensator and Lag-Lead compensator using root locus and Bode

plot.

Controller Design: Direct controller synthesis, Internal model controller design,

Decoupler design

Design concepts in state space: Pole placement via state variable feedback, State observer

theory, design of full order state observer, design of minimum order state observer, design

of optimal state regulator.

Design concepts in discrete time control systems: Design of compensators: Lead

compensator, Lag compensator and Lag-Lead compensator using root locus and Bode

plot. Controller Design: Direct controller synthesis, Discretization of continuous

controller,

38

Deadbeat controller. Design concepts in state space: Pole placement via state variable

feedback, State observer theory, design of full order state observer, design of minimum

order state observer, design of optimal state regulator.

Advances in control system design: Model predictive controller, Concepts of robust

control, H-infinity design technique

References:

1. Goodwin , Graebe S F & Salgado M E, ‘Control System Design’, (Prentice hall of

India Delhi) (2002).

2. Friedland B., ‘Advanced Control System Design’, (New Jercy. Prentice Hall Inc)

(1998).

3. Ogata K., ‘Discrete Time Control Systems’, (Prentice Hall of India, Delhi) (2004).

4. Ogata K., ‘Modern Control Engineering’, (Prentice Hall Of India Pvt. ltd.) (1992).

5. Gopal.M., ‘Digital control Engineering’ , (Wiley Eastern Ltd.) (1989).

6. G.F.Franklin, J.David Powell, Michael Workman, ‘Digital control of Dynamic

Systems’, 3rd Edition,

(Addison Wesley) (2000).

7. Forsytheand W. and Goodall R.N., ‘Digital Control’, (McMillan) (1991).

8. M.Gopal, ‘Digital Control and State Variable Method’, (Tata-McGraw Hill, Delhi)

(1997).

EID 2005: Power System Instrumentation credits3

General scope of instrumentation in power systems. Electrical instruments and

meters. Telemetry. Data transmission channels-pilots, PLCC, Microwave links.

Interference effect. Automatic meter reading and billing.

Simulators.

SCADA and operating systems. Data loggers and data display system. Remote control

instrumentation. Disturbance recorders. Area and Central Control station instrumentation.

39

Frontiers of future power system instrumentation including microprocessor based

systems.

Application of digital computers for data processing and on-line system control.

References:

1. Central Power Research Institute (India).,Power system instrumentation:

National workshop : Papers, np, 1991

2. B.G Liptak, Instrumentation in Process Industries

3. B. Singh, Microprocessor control and instrumentation of electrical power

systems, University of Bradford, 1987

4. Bonneville Power Administration, SCADA: remote control for a power

system,

40

SEMESTER III

41

EIC 3101 Research Methodology credit 1

Introduction, meaning of research- objectives of research-motivation in research-types of

research-research approaches-significance of research-research methods Vs methodology-

criteria for good research

Defining research problem- what is a research problem-selecting the problem-necessity of

defining the problem-literature review-importance of literature review in defining a

problem-critical literature review-identifying gap areas from literature review

Research design- meaning of research design- need- features of good design-important

concepts relating to research design-different types-developing a research plan.

Methods of data collection-collection of data-observation method- interview method-

questionnaire method-processing and analyzing of data-processing options-types of

analysis-interpretation of results.

Report writing- types of report-research report- research proposal, technical paper-

significance-different steps in the preparation-lay out, structure and language of typical

reports-simple exercise-oral presentation-planning, preparation, practice-making

presentation-answering questions- use of visual aids-quality and proper usage-importance

of effective communication with illustrations.

References:

1. Coley S.M. & Scheinberg C.A., 1990, Proposal Writing, Newbury- Sage

Publications

2. Leedy P.D., Practical Research –Planning and Design, 4th

edition, MW Mac

Milian Publishing Co.

3. Day Ra “How to write and publish a scientific paper”, Cambridge University

Press 1989.

4. Earl Babbie- The Practice of Social Research – Wordsworth Publishing Company-

1994

5. Institute of Town Planners- India

42

EIC 3102 INDUSTRIAL TRAINING / INTERACTION credit 1

There shall be a 15 days training in Industrial / Research organization by each

student during the Second Semester vacation and present a Seminar and report during the

Third Semester. The report shall be approved by the organization / industry where the

student has undergone the training.

Marks:

Evaluation of reports: 25

Seminar Presentation: 25

EIC 3103 THESIS PRELIMINARY Credits 4

The main objective of the thesis is to provide an opportunity to each student to do

original and independent study and research on the area of specialization. The student is

required to explore in depth and develop a subject of his/her own choice, which adds

significantly to the body of knowledge existing in the relevant field. The student has to

undertake a thesis preliminary work on the stream of specialization during this semester.

The fourth semester Thesis shall be an extension of this work in the same area. The

student has to present two seminars and submit an interim thesis report. The seminar and

report shall be evaluated by the evaluation committee. The first seminar would highlight

the topic objectives and methodology and expected results. The first seminar shall be

conducted in the first half of this semester. The second seminar is presentation of the

interim thesis report of the work completed and scope of the work which is to be

accomplished in the fourth semester.

Evaluation of marks for the thesis preliminary

Evaluation of the thesis – preliminary work by the guide - 100 marks

Evaluation of the thesis – preliminary by the Evaluation Committee - 100 marks

43

STREAM ELECTIVES OFFERED FOR

SEMESTER –III

44

EIE 3001: Advanced Process Control Credits 3

Introduction: Review of basics of Process Control, Control objective and benefits,

Control system elements. Mathematical Modeling and dynamic performance analysis

process for control: Basic Concepts in Modeling, models from fundamental laws,

empirical model identification, dynamic performance analysis of first order, second order,

multi-capacity processes, Effect of Zeros and time delay. Multivariable Process control:

Cascade control, Ratio control, feedback-feedforward control, override

control, selective control, modeling of multivariable process, Design of Multivariable

controllers.

Model Based control: Feedback-feedforward, delay compensation, Internal Model

controller (IMC): Concept, IMC design Procedure.

MPC: General Principles, Model forms, DMC, SISO unconstrained DMC Problem,

controller tuning. Statistical Process Control (SPC): Concept, Design procedure.

Case study: Design of Fuzzy-Logic based controller. Case study: Design of Neural

Network based controller.

References:

1. Thomas E. Marlin ‘Process Control’, (McGraw-Hill International Edition)

2. Jose A. Romagnoli, Ahmet Palazoglu, ‘ Introduction to process Control’ (CRC Tylor

and Francis

group)

3. Statistical Process Control –ISA

4. B.G. Liptak, ‘Handbook of Instrumentation- Process Control’

5. Les A. Kane, “Handbook of Advanced Process Control Systems and Instrumentation”

(Springer)

EIE 3002: Instrumentation Devices and Systems Credits 3

Chemical Sensors : Physical Sensors – Surface Micro Machined Capacitive Pressure

sensor, Integrated flow sensor, Chemical and Biochemical Sensors – Conductivity sensor,

Hydrogen Sensitive MOSFET, Tri-Oxide Sensors, Schottky diode type sensor, Solid

Electrolyte, Electrochemical Sensors. Sensor Matrix for Two dimensional measurement

of concentrations.

Optical Sensors: Holography, Echolocation and bio holography, Sensors used in space

and environmental applications. Application in meteorology, natural resources application

sensor used in Instrumentation methods.

Biomedical Sensors : Biological Sensors in Human Body – Different types of Transducer

system – Physiological Monitoring – chemo receptors – Hot and cold receptors – sensors

for smell, sound, vision taste.

Aerospace Sensor :Gyroscope laser and fibre optic gyroscopes, accelerometers. Laser,

Aerospace application of laser, Resolvers, Altimeters, Angle of attack sensors, servos.

Advanced Sensor Design: Sensor design a sensor characteristics, Design of signal

conditioning devices for sensors. Design of 2& 4 wire transmitters with 4 – 20 mA

output. Pressure Sensor using SiSi bonding, Catheter pressure sensors, TIP pressure

sensors, Highpressure sensors, Silicon accelerometers.

45

References:

1. Sabaree Soloman, Sensors Hand Book, McGraw Hill, 1998.

2. J.G. Webster, Medical instrumentation Application and Design, Houghton Mifilin

Co.

3. Carr and Brown, Introduction to Medical Equipment Technology, Addison Wesley,

1999.

4. Culshaw B and Dakin J (Eds), Optical Fibre Sensors, Vol. 1 & 2, Artech House,

Norwood, 1989.

5. P. Garnell, Guided Weapon Control Systems, Pergamon Press, 1980

EIE 3003: Robotics and automation Credits 3

Basic concepts : Definition and origin of robotics – different types of robots – various

generations of robots– degrees of freedom – Asimov’s laws of robotics – Dynamic

stabilization of robots.

Power sources and sensors : Hydraulic, pneumatic and electric drives – Determination of

HP of motor and gearing ratio – variable speed arrangements – path determination –

machine vision – ranging – laser- acoustic – magnetic – fibre optic and tactile sensors.

Manipulators, Actuators and Grippers : Construction of manipulators – manipulator

dynamic and force control – electronic and pneumatic manipulator control circuits – end

effectors – various types of grippers – design considerations.

Solution of inverse kinematics problem, Multiple solution jacobian work envelop, Hill

climbing techniques, Robot programming languages.

Robot control: The control problem-state equations-Single axis PID control-PD gravity

control-Computed torque control-Variable Structure control-Impedance control.

Robot vision : Image representation , Perspective and inverse perspective

Transformations, camera calibration.

Robot applications- Multiple robots, Machine interface, Robots in manufacturing and

non-manufacturing applications, Robot cell design, Selection of robot. -Types of

applications-Industrial applications: material handling applications-Processing , assembly

and inspection, Machine loading and unloading-spot welding-arc welding-spray painting.

Non Industrial applications- robots in medicine

References:

1. Robot. J. Schilling Fundamentals of robotics – Analysis and control –– Prentice Hall

of India 1996.

2. Mickell. P. Groover – Automation, Production and computer integrated manufacturing

– Prentice Hall of India, 1992.

3. Janakiraman P A , “Robotics and Image Processing”, Tata McGraw Hill, New Delhi,

1995.

4. John. J. Craig , Introduction to Robotics ( Mechanics and control), , Pearson Education

Asia 2002.

5. S R Deb, “ Robotcs Technology and Flexible Automation”, Tata McGraw Hill, New

Delhi.

46

EIE 3004: Fibre Optics and Laser Instrumentation Credits 3

Optical Fibers and their Properties: Principles of light propagation through a fiber,

Different types of fibers and their properties, Transmission characteristics of optical fiber,

Absorption losses, Scattering losses, Dispersion, Optical fiber measurement, Optical

sources, Optical detectors, LED-LD-PIN and APD.

Industrial Application of Optical Fibers : Fiber optic sensors, Fiber optic instrumentation

system, Different types of modulators, Detectors, Application in instrumentation,

Interferometric method of measurement of length, Moiré fringes, Measurement of

pressure, temperature, current, voltage, liquid level and strain, Fiber optic gyroscope,

Polarization maintaining fibers.

Laser Fundamentals: Fundamental characteristics of Lasers, Three level and four level

lasers, Properties of laser, Laser modes, Resonator configuration, Q-switching and mode

locking, Cavity dumping, Types of lasers: gas lasers, solid lasers, liquid lasers, semi

conductor lasers.

Industrial Application of Lasers : Laser for measurement of distance, length velocity,

acceleration, current, voltage and atmospheric effect, Material processing, Laser heating,

welding, melting and trimming of materials, Removal and vaporization.

Hologram :Holography, Basic principle, methods, Holographic interferometry and

applications, Holography for non-destructive testing, Holographic components,

References:

1. John and Harry, Industrial Lasers and their Applications, McGraw Hill, 1974.

2. Senior J.M., Optical Fiber Communication Principles and Practice, Prentice Hall,

1985.

3. John F Read, Industrial Applications of Lasers, Academic Press, 1978

4. MonteRoss, Laser Applications, McGraw Hill, 1968

5. Keiser G., Optical Fiber Communication, McGraw Hill, 1991

6. Jasprit Singh, Semiconductor Optoelectronics, McGraw Hill, 1995

7. Ghatak A.K and Thiagarajar K, Optical Electronics Foundation Book, TMH, New

Delhi, 1991.

EIE 3005: Nano Technology Credits 3

Supramolecular Chemistry: Definition and examples of the main intermolecular forces

used in supramolecular chemistry. Self-assembly processes in organic systems. Main

supramolecular structures.

Physical Chemistry of Nanomaterials: Students will be exposed to the very basics of

nanomaterials; a series of nanomaterials that exhibit unique properties will be introduced.

Methods of Synthesis of Nanometerials. Equipment and processes needed to fabricate

nano devices and structures such as bio-chips, power devices, and opto-electronic

structures. Bottom-up (building from molecular level) and top-down (breakdown of

microcrystalline materials) approaches.

Biologically-Inspired nanotechnology basic biological concepts and principles that may

lead to the development of technologies for nano engineering systems. Coverage will be

given to how life has evolved sophisticatedly; molecular nanoscale engineered devices,

and discuss how these nanoscale biotechnologies are far more elaborate in their functions

than most products made by humans.

Instrumentation for nanoscale characterization. Instrumentation required for

characterization of properties on the nanometer scale. The measurable properties and

47

resolution limits of each technique, with an emphasis on measurements in the nanometer

range.

References: 1. Jean-Marie Lehn , Supramolecular Chemistry, Wiley VCH, 1995

2. Jonathan Steed & Jerry Atwood , Supramolecular Chemistry, John Wiley & Sons, 2004

3. Jacob Israelachvil ,Intermolecular and Surface Forces, Academic Press, London, 1992.

EIE 3006: Multisensor Data Fusion Credits 3

Multisensor data fusion: Introduction, sensors and sensor data, Use of multiple sensors,

Fusion applications. The inference hierarchy: output data. Data fusion model.

Architectural concepts and issues. Benefits of data fusion, Mathematical tools used:

Algorithms, co-ordinate transformations, rigid body motion. Dependability and Markov

chains, Meta – heuristics.

Taxonomy of algorithms for multisensor data fusion. Data association. Identity

declaration.

Estimation: Kalman filtering, practical aspects of Kalman filtering, extended Kalmal

filters. Decision level identify fusion. Knowledge based approaches.

Data information filter, extended information filter. Decentralized and scalable

decentralized estimation. Sensor fusion and approximate agreement. Optimal sensor

fusion using range trees recursively. Distributed dynamic sensor fusion. High

performance data structures: Tessellated, trees, graphs and function. Representing

ranges and uncertainty in data structures. Designing optimal sensor systems with in

dependability bounds. Implementing data fusion system.

References: 1. David L. Hall, Mathematical techniques in Multisensor data fusion, Artech

House, Boston, 1992.

2. R.R. Brooks and S.S. Iyengar, Multisensor Fusion: Fundamentals and

Applications with Software, Prentice Hall Inc., New Jersey, 1998.

3. Arthur Gelb, Applied Optimal Estimation, The M.I.T. Press, 1982.

4. James V. Candy, Signal Processing: The Model Based Approach, McGraw –Hill

Book Company, 1987.

EIE 3007: Principles and Practice of Energy conservation Credits 3

Introduction: General principles of energy conservation. Sectorial energy conservation

possibilities, electricity conservation, industrial transportation and residential sectors.

Energy Audit and Energy Cycles: Energy Audit – Characteristic methods employed in

certain Energy Intensive Industries – various energy conservation measures - Energy

conservation in steam systems – Importance of correct pressure, Temperature, & Quality

of steam - Condensate recovery - Co-generation – in-plant power generation systems –

co-generation schemes and configuration – Design considerations – Heat rate

improvement. Case studies- Gas & steam turbine combined cycle: Simple Gas-Steam

combined cycles – Repowering cycles - Combined cycles with PFBC and PFBG systems

48

- Thermodynamic analysis for Optimum design - Advantages of combined cycles Energy

conservation in boilers: Practical applications of energy conservation: steam balances

using the steam turbine, returning the condensate to boilers, flashing condensate to lower

pressure, Furnace efficiency: effect of flue gas and combustion air temperature, reducing

flue gas temperature, steam tracing, Heat recovery.

Energy conservation in pumps, Piping systems, Dryers and evaporators: Pumps, Fans and

blowers, Piping systems design for energy efficiency, Multiple effects, gravity feed

evaporators, thermo-compression, vapour - recompression systems - Drying: Convective

dryers. Energy Conservation: Case studies Ceramic industry (Glass, porcelain), Cement,

Refineries, Iron and steel, Pulp and Paper

References:

1. M. Chiogioji, "Industrial Energy Conservation", McGraw Hill, New York, 1979.

2. “Optimizing Energy Efficiency In Industry”, G. G. Rajan, Tata McGraw-Hill

publishing Co., N. Delhi, 2001

3. T.N. Veziroglu "Alternative Energy sources", Vol. V , Elsevier Pub., Amsterdam,

1983.

4. S.D. Huo, " Hand book of Industrial Energy Conservation", Van Nostrand Reinhold

Publishers, New York,1983.

EIE 3008: Bio-imaging Modalities Credits 3

Physical Principals of Imaging: Fundamentals of Physics and Radiation; Concepts of

Radiation science; Radiographic definition and Mathematics review; Electromagnetic

Radiation: Photons, Electromagnetic Spectrum, Wave Particle Duality; Interactions

between Radiation and matters; Fundamentals of acoustic propagation; Interaction

between sonic beams and matter; concepts of ultrasonic diagnostics..

X-ray Diagnostic Methods: Fluoroscopy: Fluoroscopy and Visual Physiology, Image

intensifier tube and Multifield intensification; Angiography: Arterial access, Catheters,

Contrast media; Mammography: Soft tissue radiography, Equipments: Target

composition, Filtration grids, Photo timers, Image receptors; Xero radiography; Digital

radiography; 3-D construction of images.

Computed Tomography: Operational modes: First generation scanners, Second, Third,

Fourth, Fifth generation scanners; System components: Gantry, Collimation; High

Voltage generators; Image characteristics: Image matrix, CT numbers; image

reconstruction; Image Quality: Spatial resolution, Contrast resolution, System noise,

Linearity, Spatial Uniformity.

.Imaging with Ultrasonography: Piezoelectric effect; Ultrasonic transducers: Mechanical

and Electrical matching,; The characteristics of transducer beam: Huygens principle,

Beam profiles, Pulsed ultrasonic filed, Visualization and mapping of the Ultrasonic field;

Doppler effect-Doppler methods; Pulse echo systems[Amplitude mode, Brightness

mode, Motion mode &Constant depth mode]; Tissue characterization: velocity,

attenuation or absorption, Scattering.

Developments in Ultrasound technique: Color Doppler flow imaging: CW Doppler

imaging device, Pulsed Doppler imaging system, clinical applications; Intracavity

imaging: Design of the Phased array probe, Trans oesophageal, Tannsvaginal or

49

Transrectal scanning; Ultrasound contrast media: Utilization of micro air bubbles,

galactose microparticles and albumin encapsulated microairbubbles; 3-D image

reconstruction; 2-D echo cardiography

Biological effects of Radiation and Ultrasound and its protection:Modes of Biological

effects: Composition of the body and Human response to Ionizing radiation; Physical

and Biological factors affecting Radiosensitivity, Radiation Dose-response relationships;

Time variance of radiation exposure; Thermal / Nonthermal effects due to cavitation in

ultrasound fields; Designing of radiation protections and its procedures.

Magnetic Resonance Imaging: Introduction to MRI, Imaging Pulse sequence, Limitations

of MRI, Radionuclide Imaging, Single Photon Emission Computed Tomography, positron

Emission Tomography.

References:

1. K. Kirk Shung, Michael B. Smith, Benjamin Tsui, ‘Principles of Medical Imaging’

(Academic Press)

2. Stewart C. Bushong, ‘Radiologic science for Technologists’, (Mosby: A Harcourt

Health Sciences Company)

3. Jeffery Papp, ‘Quality Management: In the Imaging Sciences’, (Mosby: A Harcourt

Health Sciences Company)

4. Christensens , ‘Physics of Diagnostic Radiology’, 4Rev Ed edition (Lea & Febiger,U.S.),

(Jun 1990)

5. David J. Dowsett, Patrick A. Kemmy, R. Eugene Jhnston, ‘The Physics of Diagnostic

imaging’ , Second Edition, (A Hodder Arnold Publication)

6. W.J. Meredith & J. B. Massey, ‘Fundamental physics of radiology’ (Varghese

Publisher)

7. Jole Pierce Jones, ‘Acoustic Imaging’, (Plenum Publishing)

EIE 3009: Reliability and Safety Engineering Credits 3

Reliability: Definition and basic concepts, Failure data, failure modes and reliability in

terms of hazard rates and failure density function. Hazard models and bath tub curves.

Applicability of Weibull distribution. Reliability calculation for series , parallel, parallel-

series and K-out-M systems. Use of redundancy and system reliability improvement

methods.

Maintenance: Objectives, Types of maintenance, preventive, condition based and

reliability centered maintenance. Terotechnology and total productive

maintenance.(TPM). Maintainability: Definition, basic concepts, Relationship between

reliability, maintainability and availability : corrective maintenance time distributions and

maintainability demonstration. Design considerations for maintainability. Introduction to

life-testing-estimation of parameters for exponential and Weibell distributions,

component reliability and MIL standards.

Safety: Causes of failure and unreliability. Human reliability and operator training.

Origins of consumerism and importance of product knowledge, product safety, product

liability and product safety improvement programme.

References:

1. Charls O. Smith, - Introduction to Reliability In Design, Mc. Graw Hill.

50

2. Blanchard B.S – Maintainability

3. Sinha And Kale – Introduction to Life Testing, Willey Eastern

4. Smith and Davis – Reliability Engineering.

5. Gloss, D.S. and Wardle, M.G- Introduction to Safety Engineering , John Wiley.and

sons, New York.

6. Brown, D.B.- Systems Analysis and Design Of Safety, PHI, New Delhi

7. Billinton, R and Allan, R- Reliability Evaluation of Engineering Systems, Pitman

Books Limited, London.

EIE 3010: Organisational Behaviour & Management Credits 3

Management: Management functions, roles and skills of management, Effective versus

successful managerial activities, manager’s job

Organisational Behaviour: Replacing intuition with systematic study, contributing

disciplines to the OB field, challenges and opportunities for OB, developing an OB

model.

The Individual: a. Foundations of individual behaviour, biographical characteristics,

ability, learning, values, attitudes and job satisfaction, personality and emotions,

perception and individual decision making. b. Motivation: Theories of motivation,

motivation from concepts to applications.

The Group: Foundations of group, stages of group development, group structure, group

processes, group tasks, group decision techniques, understanding work teams,

communication, basic approaches and contemporary issues in leadership, power and

politics, conflict and negotiation.

The organization System: Foundations of organization structure, work design and

technology, human resource policies and practices, organisational culture.

Organisational Dynamics: Organisational change and stress management, historical

evolution of organisational behaviour.

Case Study: Case problems provide a useful medium for testing and applying some of the

ideas of the syllabus. It is expected that students will discuss some case problems in the

class.

References:

1. Stephen P. Robbins, ‘Organizational Behaviour’, 10th edition, (Pearson Education

Inc.) (2004).

2. Keith Davis, ‘Human Behaviour at Work’, 5th edition, (Tata McGraw-Hill Publishing

Co. Ltd. New

Delhi) (1977)

51

SEMESTER IV

52

EIC 4101 THESIS Credits 12

The student has to continue the thesis work identified in the third semester. There

shall be two seminars (a mid term evaluation on the progress of the work and the pre

submission seminar to assess the quality and quantum of the work). At least one technical

paper is to be prepared for possible publication in journals / conferences. The final

evaluation of the thesis shall be an external evaluation. The marks for the Thesis-Final

may be proportionally distributed between external and internal evaluation as follows.

Distribution of marks allotted for the Thesis

Internal evaluation of the thesis work by the guide - 200 marks

Internal evaluation of the thesis by the evaluation committee - 200 marks

Final evaluation of the thesis work by internal and External examiners :

(Evaluation of Thesis :100 marks + Viva voce :1000 marks) – 200 Marks

53

INTERDISCIPLINARY ELECTIVES

FOR SEMESTER –II

54

API 2001: URBAN ENVIRONMENTAL MANAGEMENT

Definition and General consideration of Urban Environment Management, Urban Systems,

Management approaches Population, Technology, Management issues. Spatial behaviour,

Structural and demographic meaning of urbanization, methods of decomposing urban growth

components, level and rate of urbanization, economical demographics of urbanization and

mega urbanization, urban poverty and informal sector, Rural and urban impacts f

urbanization. Need for Environmental Management in Cities and Towns, Urbanization,

Environment and Human Settlement Policies. Contemporary urban patterns, trends and

problems – Major issues such as population change, the economy, land use, housing,

neighbourhood development, fiscal and unemployment crises. International urbanization

patterns and policies. Natural Environment, Built environment and Socioeconomic

Environments. Management of Natural Environment in urban areas, open spaces, vegetation,

water bodies, air, water, land, noise, soil etc. Built environment – Land use planning –

Density control, housing, slums, and squatter settlements – Infrastructure – water supply,

solid and liquid waste, transportation and other services. Spatial analysis and Management

tools. Life cycle analysis, Environment

assessment and reporting. Management control and decision making. Development standards

and controls. Environmental Laws, Constitutional Environmental rovisions, Sustainable

urbanization policies, environmental policies for sustainable cities. Sources and effects of

urban pollution – Air, Noise, Odour, Water, Wastewater, Land, Solid wastes and toxic wastes

and treatment technologies and decision making on urban pollution.

References 1. Tony Kendle and Stephen Forbes, “Urban Conservation – Landscape

Management in Urban country Side – E & FN SPON, London, 1997.

2. The Royal Commission on Environmental Pollution Report – Transport

and Environment – Oxford University Press, 1995.

3. Rob Gray – Accounting for the Environment – Chartered Association

of Certified Accountants – 1993.

4. Brain J.L. Berny – Urban Environmental Management

55

API 2002: ENERGY ENVIRONMENT & BUILDINGS

Energy Scenario and energy systems in nature – Reasons for the present energy and

environmental crisis - Need for the energy and environmental conservation – Study of

conventional, non-conventional, renewable, non-renewable energy – passive, active and

hybrid systems. Building climatology (Indian context) – Need of climatically responsive

energy efficient buildings – Analysis of climatic data for the building designers both in macro

and micro levels. Concept of human comfort – Study and assessment of the factors

influencing human comfort – Use of solar passive energy and wind energy in buildings. Study

of the energy conception of buildings - Concept of embodied energy for materials and

building components – Requirement of energy for production and operation – energy for

maintaining the comfortable internal environment in buildings – Assessment of total energy

in buildings. Factors affecting energy use in buildings – Environmental factors, envelope

factors, air conditioning and electrical systems – Energy sources – Energy

conservation – Methods and techniques of energy performance assessment of buildings –

Aspects of energy management in buildings – Energy audit of buildings.

References 1. Baker Nick and Steemers Koen, “Energy and Environment in Architecture”, E& FN, Spon.

London, 1999.

2. Goulding, John, R, Lewis, Owen J and Steemers, Theo C., “Energy in

Architecture”, Bastford Ltd., London, 1986.

3. Bansal Naveendra K., Hauser Gerd and Minke Gernot, “Passive Buildings

Designs : Handbook of Natural Climatic Control”, Elsevier Science,

Amsterdam 1997.

4. Givonji B., “Man, Climate and Architecture”, Elsevier, Amsterdam, 1986.

5. Smith R.J., Philips, G.M., Sweeney, ‘Environmental Science”, Longman

Scientific & Technical, Essex, England, 1982.

6. Watson Donald, ‘Climatic Design : Energy Efficient Building Principles &

Practices”, Mc Graw Hill Book company, New York, 1983.

56

API 2003: ENERGY EFFICIENCY AND MICROCLIMATE

Climatic impact of landscape elements. Climate and man. The Climatic impact of natural

elements – land, land forms, vegetation & water. Thermal properties of commonly used

building materials for outdoor spaces. Site selection, siting & orientation for energy

conservation. Human comfort levels. The climatic regions & human adaptation. Site analysis

processes & technologies. Site selection for energy conservation. Siting & orientation for

energy conservation. Site planning and design for energy conservation – Integration of

building & site for energy conservation. Site planning for energy conservation. Site design

for energy conservation. Modification of micro climates – Selection & use of landscape

elements for microclimatic modification. Radiation modification using modification,

temperature, humidity and precipitation modification. Conservation of water – water

conserving landscape design. Conservation of embodied energy through landscape design.

Quantitative determination of human thermal comfort in outdoor spaces. Eco-sensitive and

sustainable landscape.

References 1. Gray O. Robinette, “Landscape Planning for Energy Conservation”, Van

Nostrand Reinhold New York, 1984.

2. Geiger R., “The Climate Near the Ground”, Harward University Press,

Cambridge, Massachusetts – 1965.

3. Mc. Pherson E.G. “Energy Conserving Site Design”, American Society of

Landscape Architecture, 1984.

4. Mebsh W.M.’ “Landscape Planning Environmental Applciation”, John

Wiley & Sons Inc. New York. 1999.

5. Oke T.R., “Boundary Layer Climates” 2nd Edition, Mellhuen & Co. Ltd.

London.

6. Robers D. Brown, Terry J. Gillespie, “Microclimatic Landscape Design”,

John Wiley & Sons.

57

API 2004: RURAL PLANNING & DEVELOPMENT

Rural society in India, characteristics of rural people – structure of rural society – physical

planning – typology, forms and structure of rural settlement. Gandhian Approach to Rural

Development – Relevance of rural area for urban development, mutual dependence between

urban and rural areas, between industry and agriculture – Characteristic of symbiotic

development and the pattern of urban development in India. Causes of rural poverty – Causes

of economic and social changes – The policies and measures taken by the government of

India to combat poverty in rural areas – Rural housing in India.

Levels of living standards of rural people in different regions of India – National planning and

rural development concepts of planning for rural settlement. Regional development and urban

rural partnership. Planning principles and village and community norms. Rural Infrastructure

problem – Rural reconstruction – Basic needs and rural sanitation – water supply – hygiene

and drainage – technology transfer and

options. Area, district and block level development planning and implementation – public

participation in rural development process – Role of voluntary organisations in

rural development. Rural energy issues, renewable and alternative sources of energy –

ecological and environmental considerations in rural development and village planning –

Sustainable village development – Village institution & rural managementproblems.

References 1. T.K. Oommen, “Social Transformation in Rural India – Mobilization and

State Interbention”, Vikas Publishing House Pvt. Ltd., 1984.

2. Dr. Kumar, “Rural Sociuology”, Lakshmi Nanain Agarwal, Educational

Publichsers, Agra 2.

3. J.B. Chitambar – Introductory Rural Sociology – Wiley Eastern Ltd. India,1993.

4. Saita Anama Sharma – Rural Settlements – A Cultural Ecological

Perspective – Inter India Publications.

58

CSI 2001 Finite Element Analysis 3-0-0-3

Preliminaries - Strain displacement relations - constitutive relations - Energy principles -

Principle of virtual work - Total potential energy - Rayleigh-Ritz method - method

ofweighted residuals.

Introduction to FEM - out line of the procedure -Element properties - polynomial form -shape

function form - equilibrium and compatibility in the solution – convergence requirements.

Developments of shape functions for truss, beam and frame elements- constant strain triangle

-Linear strain triangle -Bilinear plane rectangular elements -Consistent nodal loads - lumped

loads-patch test - stress computation Isoparametric formulation - Line element- Plane bilinear

element- Isoparametric formulation of Quadratic plane elements - Subparametric elements

and superparametric elements - Gauss quadrature - Pate and shell elements. Solution

techniques, Large systems of equations - Storage schemes- Solution techniques –

Discussion of Finite Element programs and packages Application of FEA in various fields of

engineering

References:

1 Cook R.D, Concepts and Application of Finite Element Analysis, Wiley & Sons

2 Krishnamoorthy C.S, Finite Element Analysis, McGraw Hill.

3 Zienkiewicz O.C, The Finite Element Method.

4 Bathe K.J, Finite Element Procedures in Engineering Analysis, Prentice Hall.

5 Rajasekharan S, Finite Element Analysis in Engineering Design, Wheeler.

6 Reddy J.N, An Introduction to FEM, McGraw Hill

Note: 20% Choice may be given while setting the question paper

59

CSI 2002 Theory of Plates and Shells 3-0-0-3

Introduction – Assumptions in the theory of thin plates – Bending of ling rectangular plates to

a cylindrical surface Pure bending of plates – Slope and curvature – Relations between

bending moments and curvature – Particular cases of pure bending Symmetrical bending of

circular plates – Differential equation – Uniformly loaded circular plates with simply

supported and fixed boundary conditions – Annular plate with uniform moments and shear

forces along the boundaries Small deflections of laterally loaded plates – Differential

equation – Boundary conditions – Navier solution and Levy's solution for simply supported

rectangular plates - Effect of transverse shear deformation – Anisotropic plates Deformation

of shells without bending – Definitions and notation – Shells in the form of a surface of

revolution, displacements – Membrane theory of cylindrical shells General theory of

cylindrical shells – A circular cylindrical shell loaded symmetrically with respect to its axis –

symmetrical deformation – General case of deformation of a cylindrical shell- cylindrical

shells with supported edges – Shells having the form of surface of revolution and loaded

symmetrically with respect to their axis

References:

1 Timoshenko S.P. and Krieger S.W., Theory of Plates and Shells, Tata Mc Graw Hill.

2 Chandrasekhara K., Theory of Shells

3 Fluigge W., Stresses in Shells

4 Bairagi N.K., Plate Analysis, Khanna Publishers.

5 Kelkar V. S. and Sewell R. T., Fundamentals of the Analysis and Design of Shell

Structures., Prentice Hall, Inc.

Note: 20% Choice may be given while setting the question paper

60

CSI 2003 Advanced Mechanics of Materials 3-0-0-3

Introduction to mathematical theory of elasticity. Analysis of stress and strain in 3D

Equilibrium equations : Strain displacement relations – Compatibility conditions – Stress and

strain transformations – Principle stresses and strains – Octahedral planes and stresses. –

Constitutive relations. Boundary value problems of elasticity – Displacement Traction and

Mixed types – Equilibrium equations in terms of displacements ( Lame – Navier ) and

Compatibility conditions in terms of stresses ( Beltrami – Michell) – Saint Venant’s principle.

Two dimensional problems in Rectangular coordinates - Plane stress and plane strain

problems – Stress function - Solution by polynomials – Bending of cantilever loaded at

free end and bending of simply supported beam by uniform load. Two dimensional problems

in polar coordinates -General equations- Equilibrium equations, Strain displacement relations

and Stress strain relations. Biharmonic equationsand Airy’s stress functions. Problems of

axisymmetric stress distributions –Thick cylinders - Rotating discs –solid disc and disc with

central hole Shear centre in thin walled sections-Shear flow in open thin walled beams –

Shear centre for open thin walled beams with one axis of symmetry – Shear centre for open

unsymmetric thin walled beams – shear in closed thin walled sections. Stress Concentrations-

Stress concentration factors – Circular hole in an infinite plate under uniaxial tension –

Elliptic hole in an infinite plate stressed in directions perpendicular to major and minor axis

of hole. Stress concentration factors in combined loading – stress concentration at a groove in

a circular shaft. – Experimental techniques for the evaluation of stress concentration factors.

Torsion of prismatic bars- Saint Venant’s semi inverse and Prandtl’s stress function approach

– Torsion of Straight bars – Circular, Elliptic and Equilateral triangular cross section –

Torsion of narrow rectangular section.

References: 1 Timoshenko.S.P and Goodier.J.N., Theory of Elasticity, McGraw Hill

2. Srinath.L.S., Advanced Mechanics of Solids, Tata Mc Graw Hill

3. Sokolnikoff.I.S., Mathematical theory of Elasticity, Tata Mc Graw Hill

4. Den Harteg, Advanced Strength of Materials.

5. Seely and Smith , Advanced Mechanics of Materials.

6. Ameen.M., Computational Elasticity, Narosa Publishing House

7. Boresi.A.P., Schimidt.R.J., Advanced Mechanics of Materials ,John Wiley

Note: 20% Choice may be given while setting the question paper

61

CSI 2004 Mechanics of composites 3-0-0-3 Introduction – Classification and characteristics of composite materials – Mechanical

behaviour – Laminated fibre reinforced composite materials – Advantages of fibre reinforced

composite materials. Macromechanical behaviour of a lamina – Stress–strain relations for

anisotropic materials, orthotropic materials and a lamina of arbitrary orientation – Strength

concepts of an orthotropic lamina – Biaxial strength theories. Macromechanical behaviour of

a laminate – Classical lamination theory – Laminate stiffness – Stress distribution through the

thickness – Force and moment resultants. Bending and vibration of laminated composite

beams and plates.

References

1. Lee R. Calcotte, The analysis of laminated composite structures, Van Nastrand

Reinhold Company

2. Robert M. Jones, Mechanics of composite materials, Scripta Book Company.

3. J. N. Reddy, Mechanics of laminated composite plates ,Theory and analysis,

CRC Press.

4. M.W.Hyer, Stress analysis of fibre reinforced composite materials, Tata McGraw

Hill.

Note: 20% Choice may be given while setting the question paper

62

CSI 2005 Random Vibration 3-0-0-3

Probability Theory – Random variables, Probability distribution and density functions –

Expected value mean, variance, conditional probability, characteristic functions, Chebyshev

inequality, functions of random variable Random process- concepts of stationary and

ergodicity – nonstationary process – auto and cross correlation and covariance functions –

Mean square limit, differentiability and integrability – Spectral decomposition, power spectral

and cross spectral density functions – Wiener Khintchine relation - Properties of Guassian,

Poisson and Markov process. Broad band and narrow band random process – white noise.

Random vibration : response of linear SDOF and MDOF systems to stationary and

nonstationary random excitation. Response of continuous systems – normal mode method

Nonlinear random vibration - Markov vector – equivalent linearisation and perturbation

methods- Level crossing, peak and envelope statistics – First excursion and fatigue failures -

Applications

References:

1. Nigam N.C, Introduction to random vibration, MIT press

2. Lin Y.K, Probabilistic theory in structural dynamics, McGraw Hill

3. Bendat and Piesol, Random data analysis and measurement procedure,

John Wiley

4. Clough and Penzien, Dynamics of structures, McGraw Hill

5. Nigam N.C and Narayanan S, Applications of random vibration, Narosa.

Note: 20% Choice may be given while setting the question paper

63

CEI 2001 Philosophy Of Technology 3-0-0-3

Scope of Technology-Scope and subdivisions of philosophy -scope and historical

development of philosophy of science and technology –Ethics and interpersonal relationship

in engineering –IQ-Vs EQ-Ergonomics. Brief study of the evolving world views based on

Issac Newton, Albert Einstein, Werner Heisenberg and Stephen.W.Hawking-Cybernetics and

systems science-Analytic Vs Systemic approach –Theory of chaos and complexity. Thoughts

on technology: Martin Heidegger, Karl Marx and Mahatma Gandhi. Philosophy of

Architecture, Information Technology and Biotechnology-Gaia hypothesis- Philosophy of

Ecology and Environment –Concept of sustainable development –Cost benefit analysis

VsEnvironmental Impact Assessment. Technology revolutions and social changes. Social

impact of NanoTechnology

References:

1. Abdul Kalam, A.P.J (2002), Ignited Minds. Viking.

2. Friedrich Paulson (1999), Introduction to philosophy, Anmol Publications.

3. Ilya Prigogire and Isabella tengers(1984), Order out of chaos, Bantom books

4. John G MoGuine and Howard Barlow (1951), An introduction to Engineering

Profession, Addition Wesley.

5. John horgan (1996), The end of Science, Helix books.

6. Jonathen Powers (1982), Philosophy and New physics, Methuen.

7. Lebia Green (2007), Tecnoculture, Atten&Unwin

8. Nataraja, G (1995), Science and Human Values –in ‘Wisdom, DK Print world.

9. Oroon K (1985), Science, Society and Philosophy, Ajantha Publishers.

10. Philip L Alger et.al(1965), Ethical Problems in Engineering ,John Wiley and Sons

11. Pradeep.T ,Nana, The Essentials, Tata McGraw-hill

12. Stephen Whawking(1998), A Brief History of Time ,Bantam Books

13. Journal of the Society for Philosophy and Technology.

Note: 20% choice may be given at the time of setting the question paper

64

CEI 2002 ENVIRONMENTAL MANAGEMENT 3-0-0-3

Introduction-Man and environment- physical chemical and biological hazards and their

adverse effects- environment and biotechnology environmental ethics- politics and relevance Interdisciplinary nature of environment: - air environment, water environment, land

environment, biological environment- Nature resources of environment – Renewable

resources, Non Renewable resources, continuous resources extrinsic resources-

Characteristics of environment: - hydrology, meteorology, fluid mechanics, material balance,

transport and transformation, sound and noise, water chemistry, air, soil, microbiology,

energy and material flow.

Sustainable development: – definition economic dimensions- environmental dimension –

framework for achieving sustainability, assessment of sustainable performance. Global

environmental issues: - greenhouse effect, ozone layer depletion- global warming – acid rain

– deforestation Tools of environmental management: - EIA life cycle assessment,

Environmental audit, Environmental reporting, and standardization of tools.

References:

1. Kurian Joseph & R. Nagendran’ Essential Environmental studies’. Pearson

‘education(SINGAPORE) PteLtd Indian Branch,482. F.I E. Patparganj, New

Delhi.110092

2. R.F Fuggle and M. A. Rabie,’ Environmental Management in South Africa’, Juta & Co

Ltd 1994.

3. SC Bhatia ‘Environmental Pollution and Control in Chemical Process Industries’,

Khanna Publishers- Naisarak Delhi.

Note: 20% choice may be given at the time of setting the question paper

65

CEI 2003 Environment And Pollution 3-0-0-3

Introduction to Environment- components of environment –man and environment. Natural

resources- Water, Land, Forest, Mineral, Energy, Food. Introduction to environmental

pollution –General pollutants; types of Pollutants Pollution-Air, Water, Land, Noise,

Thermal, Marine, Pesticide, Radioactive, Plastic. Pollution Case studies, Population and the

Environment. Environmental ethics, Disaster Management.

References:

1.P.Aarne Vesilind, “Introduction to Environmental Engineering”, PWS Publishing

Company.

2.Dr.N.Arumugam & Prof.V.Kumaresan,”Environmental Studies”, Saras Publication.

3.Surinder Deswal & Dr.Anupama Deswal, “A Basic Course in Environmental Studies”,

Dhanpat Rai and Co (P) Ltd.

Note: 20% choice may be given at the time of setting the question paper

66

CGI 2001 Geotechnical Engineering for Infrastructure Projects 3-0-0-3

Foundations for infrastructure facilities – requirements, types, suitability, selection.

Investigation for infrastructure projects: methods, data required, investigation planning,

selection of investigation types, obtaining and analysis of field data with special reference

to IS code provisions. Foundations for building infrastructure: Choice between shallow and

deep foundations (Piles, wells, large diameter drilled shafts), Types of shallow and deep

foundations, selection. Design of deep and shallow foundations for typical cases. Foundations

on rocks. Shallow foundations on rock, rock socketed piles, IS code provisions. Equipment

for deep foundation construction. Foundations for power infrastructure: Dams, water

conductor system, transmission line towers. Foundations for transport infrastructure:

embankments supporting transport structures, application of soil reinforcement in

embankments and retaining walls. Applications of sheet piles, excavation. Foundations for

marine structures: Forces acting on piles supporting berthing structures and jetties, pile

installation for marine structures. Field tests on foundations: Vertical, lateral, cyclic, CRP,

and pullout test for piles, plate load test, and analysis of field test data. Pile integrity testing.

References:

1. Tomlinson, Pile Design and Construction Practic, Taylor and Francis,

2. Swamy Saran, Analysis and Design of Substructures

3. Das, B.M. Geotechnical Engineering

Note: 20% choice may be given at the time of setting the question paper

67

CHI 2001 Fuzzy Sets and Systems in Engineering 3-0-0-3 Fuzzy set-concepts, operation on fuzzy sets, fuzzy numbers, fuzzy relations and equations -

membership functions, construction methods - Fuzzy measures-belief, possibility, probability

and possibility. Fuzzy logic-fuzzy rule based systems - fuzzification and defuzzification

methodsapplications to water resources problems.

Fuzzy decision making-fuzzy linear and dynamic Programming-applications to water

resources

References

1. George J Klir, Tina A Folger, Fuzzy sets, uncertainty and Information, Prentice

Hall Inc,1988.

2. George J Klir, B.yuan, Fuzzy sets and Fuzzy logic, Prentice Hall Inc,1995

3. Timothy J Ross, Fuzzy Logic with Engineering Applications, Mc Graw Hill, 1995

Note: 20% choice may be given at the time of setting the question paper

68

CTI 2003 Optimisation Techniques 3 – 0 – 0 – 3

1.Linear Programming : Formulation; Basic Properties, Simplex Algorithm, Artificial

Variables, Charnes.M.Method,two phase Technique Transportation Problem, Assignment

Problem, Solution of Primal through Dual, Dual Simplex method. Bounded variable

technique.

(Two questions to be set)

2.Non Linear Programming: Multivariable optimization with equality constraints- Lagrange

multiplier method.

3.Dynamic programming: Characteristics, -Bellmans Optimality principle- shortest path

route, forward and backward solution.

4.Integer Programming : Formulation of problems with binary variables. (From 2, 3 and 4,

1½ questions to be set)

5.Inventory Management : Inventory Control; Selective control techniques, ABC analysis,

Usage Rate, Criticality, Techniques of Inventory Control with known demand, EOQ with

uniform demand; with finite rate of replenishment with shortage, limitations. ( 1½ questions

to be set)

6.Theory of Games : Characteristics-Two Persons Zero sum Games- Maximin Minimax

principle-Saddle points- Games without Saddle Points.(One question to be set)

References : 1. Frederick, Hiller and Liebermann, Intro. To Operations Research, Holden Day,

Calif USA

2. Paul. J Ossenbruggen, Systems Analysis for Civil Engineers, John Viley.

3. Ravindran & Philips, Operations Research, John Viley.2

4. Taha,H A Operations research An introduction P.Hall India Delhi.

5. Hiller FS & Lieberman G J Introduction to Operations research

Note: 20% choice may be given at the time of setting the question paper

69

CMI 2001 Personnel Management 3-0-0-3

Personnel management in organizations – definitions – functions – changing role of

personnel management – analysis and design of jobs – human resources planning –

procurement – recruitment and selection – induction placement – training and

development.

Behavioural science aspects – motivation of individuals – theories of motivation –

foundation of group behaviour – leadership – leadership theories – communication –

factors affecting communication – channels of communication – group decision making-

Foundations of organizational structure – organization design.

References.

1 Organisational behaviour – Concepts, controversies and applications – Stephen P.

Robbins, Prentice Hall of India Pvt. Ltd, New Delhi.

2 Organisational Behaviour – Fred Luthans, McGraw Hill Book Company.

70

MII 2001 : HEURISTICS FOR OPTIMIZATION 3 – 0 – 0 - 3

Introduction to evolutionary computation: Biological and artificial evolution, Evolutionary

computation and AI, different historical branches of EC. Genetic Algorithms: Coding, Search

operators, Selection schemes, Applications. Simulated Annealing: Theoretical Approaches,

Parallelization, Applications. Tabu Search: Neighborhood, Candidate list, Short term and

Long term memory, Applications Ant Colony Algorithms: Overview, Basic algorithm,

Variants, Formalization and properties of ant colony optimization, Applications. Multi

objective evolutionary optimization: Pareto optimality, Multiobjective evolutionary

algorithms.

References:

1. Baeck T, Fogel D B & Michalewicz Z -Handbook on Evolutionary Computation-

IOP Press

2. Michalewicz Z-Genetic Algorithms + Data Structures = Evolution Programms-

Springer-Verlag,Berlin

3. Goldberg D E-Genetic Algorithms in Search, Optimization & Machine Learning-

Addisson Wesley

4. Banzhaf W,Nordin P,Keller et al.-Genetic Programming :An Introduction-

Morgan Kaufmann

5. Yao X-Evolutionary Computation: Theory and Applications- World Scientific

Publ.Co,Singapore

6. J.Dreo,A.Petrowski,Eric Taillard-Metaheuristics for Hard Optimization:Methods

and case studies- Springer.

7. Tabu Search-Fred Glover

8. How to Solve It:Modern Heuristics- Zbigniew Michalewicz,David B. Fogel-ACM

Press

9. AntColonyOptimization-Marco Dorigo Thomas Stützle-MIT Press

Note: 20% choice may be given at the time of setting the question paper

71

MII 2002: FINANCIAL MANAGEMENT 3 – 0 – 0 - 3 Financial management objectives, Financial analysis and planning, balance sheet, income

statement, funds flow analysis. Financial ratio analysis, Cost-volume- profit analysis,

Operation and financial leverages. Working capital management, Capital Budgeting, Cost of

capital, Capital structure theories, Dividend decisions. Demand theory and Economic

forecasting: Price elasticity, Income elasticity, Cross elasticity. Demand estimation: Time-

series analysis, Barometric forecasting, Input/Output analysis.

References 1. I.M. Pandey, Financial Management, Vikas.

2. J.C.T. Mao, Quantitative Analysis of Financial Decisions, MacMillan.

3. H.C. Petersen and W.C. Lewis, Managerial Economics, Pearson

Education

4. H. Bierman, Financial Policy Decisions, Macmillan.

Note: 20% choice may be given at the time of setting the question paper

72

MII 2003 : ORGANISATIONAL BEHAVIOUR 3 – 0 – 0 – 3

Dimensions of human behaviour: self development, perception, motivation, personality

and leadership- concepts, theories and applications. Modes of values, beliefs, attitudes

and intelligents in determining human behaviour. Group dynamics: nature of groups and

group decision making. Conflict management , Transactional Analysis .

Organizational development: Concepts of QWL, Organizational change, Goals of

organizational change. Concept of organizational climate, health and effectiveness.

Organizational culture: nature and characteristics, Motivation of person across cultures,

Managerial leadership across cultures. Case studies.

References:

1. Jerry l. Gray, Frederick A. Stark,Organisational Behaviour concepts and

applications

2. Fred Luthans ,Organizational Behaviour ,McGraw Hill

3. Stephen P.Robbins ,Organizational Behaviour ,Pearson Education.

4. Uma Sekharan ,Organizational Behaviour-Text and Cases ,TMH

Note: 20% choice may be given at the time of setting the question paper

73

MII 2004 OPERATIONS RESEARCH 3 – 0 – 0 – 3

Introduction to operations research, applications. Linear programming, formulation,solution

methods, duality, sensitivity and applications, Integer programming ,transportation and

assignment problems, Routing problems, traveling salesman problems, Queuing theory,

Replacement problems, Sequencing, game theory, decision theory,network analysis,

Introduction to simulation, Dynamic programming, goal programmingand non linear

programming. Case studies illustrating above models in Industries,Introduction to softwares

for decisions.

References

1. H.A. Taha, Operations Research: An Introduction, Pearson Education

2 S.S. Rao, Engineering Optimization: Theory and Practice, New Age International

Publishers..

3 H. M. Wagner, Principles of Operations Research, Prentice- Hall of India Pvt. Ltd.

4 Gross and Harris, Fundamentals of Queuing Theory, John Wiley & Sons

Note: 20% choice may be given at the time of setting the question paper

74

MII 2005: MANAGEMENT INFORMATION SYSTEMS 3 – 0 – 0 – 3

Introduction to Information Systems, Establishing the framework, Business

models,Information System Architecture, Evolution of Information Systems.Information

Systems: Functional Areas such as Finance, Marketing, Production,Personnel Levels. Types:

DSS, EIS, ES, OAS, TPS – Comparison, Concepts and knowledge representation , Managing

International Information System. Information technology infrastructure: hardware, software,

managing data resources, telecommunications and networks. System Development: System

development Life Cycle, Structured Methodologiesprototyping, case methodology, Designing

Computer based methods, procedures, control.Implementation and Control: Control, Testing

Security, Coding Techniques, Detection of error, Validating, Cost Benefit Analysis,

Assessing the value and risk of information systems.

System Audit: Software engineering qualities – design, production, service, software

Specification, software metrics, software quality assurance. Systems methodology:

objectives, Time and Logic, Knowledge and Human Dimension, software life cycle models –

Verification and Validation.

References:

1. Kenneth C. Laudon and Jane P Laudon -Management Information Systems –

Managing the Digital firm, ,Pearson Education, Asia, 2002.

2. Gordon B.Davis - Management Information System: Conceptual Foundations,

Structure and Development, , McGraw Hill

3. Joyce J Elam ,Simon and Schuster-Case series for Management Information

Systems’- Custom Publishing, 1996.

4. Steven Alter - Information Systems – A Management Perspective - Addison

Wesley, 1999.

5. James A O’Brein - Management Information Systems, Tata McGrawHill, New

Delhi,1999.

6. Turban, Mc Lean and Wetherbe - Information Technology for Management-

Making connections for strategic advantage, John Wiley, 1999.

7. Ralph M. Stair and George W. Reynolds- Principles of Information Systems -A

Managerial Approach, Thomson Learning, 2001.

Note: 20% choice may be given at the time of setting the question paper

75

MDI 2001: APPLIED FINITE ELEMENT METHOD 3 – 0 – 0 - 3

Introduction: Historical background, Basic concept of FEM, General procedure of FEM.

Engineering applications, Comparison with other methods of analysis, Advantages,

Disadvantages, Finite Element software – FE packages.Finite element modeling,

Discretisation of domain, Types of elements, Interpolationfunctions. Formulation of element

characteristic matrices: Axial beam element, torsional beam element, bending beam element

and generalized beam element. Properties of element characteristic matrix, load vector,

transformation matrices, assembly of element matrices and vectors, boundary conditions,

solution of finite element equations,computation of element resultants. Convergence and

patch test, One dimensional problems. Natural coordinates systems, numerical integration,

Iso-parametric elements. Two dimensional analysis, Plane stress, Plane strain and

Axisymmetric analysis, finite element analysis of plates & shells, Two dimensional iso-

parametric elements. Three dimensional problems in stress analysis, Hexahedral elements and

higher order elements.

Dynamic Analysis- Element mass matrices, Evaluation of Eigen values and Eigen

vectors. Dynamic analysis of spring mass system -solid body with distributed mass,

Determination of critical speed of shafts, Rigid body modes.

References:

1. Introduction to finite elements in engineering, Thirupathi R.Chandrupatla and

Ashok D. Belegundu

2. Fundamentals of Finite Element Analysis, David Hutton, TMH, 2005

3. A text book of Finite Element Analysis, P.Seshu, PHI, 2005

4. Finite Element Analysis : Procedures in Engineering, H.V.Laksminarayana,

Universities press, 2004

5. A first course in the Finite Element Method, Daryl L Logan, Thomson Learning,

2007

6. The Finite element methods in engineering, S S Rao

7. The Finite Element Method, Zienkiewicz O. C.

8. Applied finite element analysis, Larry J.Segerlind

9. Finite Element Method, R. D. Cook

10. Basics of F E M- Solid Mechanics, Heat transfer and Fluid mechanics, Dubuque I

A and W C Brown.

Note: 20% choice may be given at the time of setting the question paper

76

MDI 2002 : ACOUSTICS AND NOICE CONTROL FOR ENGINEERS 3-0-0-3

Introduction –Basic acoustic principles-acoustic terminology and definitions -velocity of

sound in fluids-relationship between wave length particle velocity, acceleration – Energy

density – acoustic intensity – reference standards and measurement- Transmission loss

reflection at plane surface-standing waves and standing wave apparatus, spherical waves

– radiation – simple source –hemispherical source-radiating piston-pressure intensity

distribution-Beam width and directivity index-sound absorbing materials. Noise

measurement: Decibel scale-relationship between pressure, intensity and power sound level

meter, noise analyzer and graphic level recorder-measurement in anechoic and reverberation

chambers, machinery noise control. Environmental noise control : Human reaction to sound-

definitions of speech interference level, perceived noise level, phon and sone etc, hearing

loss-principles of noise controlcontrol at source, during transmission and at receiver-

protection of receiver-Acoustic insulation-acoustic materials-acoustic filter and mufflers –.

Methods of control of noise using baffles, coverings, perforations etc. Transmission through

structures – control vibration by damping and other methods. Principles of noise control in an

auditorium requirements of a good auditorium

References: 1. Kinsler and frey – Fundamental sof Acoustics

2. Berenek, L.L. – Noise and Vibration control

3. Harris, C.K. – Handbook of Noise control

4. Petrusowicz and Longmore – Noise and Vibration control for industrialists

5. Graf – Industrial noise and vibration

6. R.D.Ford-Introduction to Acoustics

7. Douglas.P.Reynolds-Engg Principles Of Acoustics

Note: 20% choice may be given at the time of setting the question paper

77

MPI 2001: COMPUTATIONAL FLUID DYNAMICS 3 – 0 – 0 – 3

System and control volume approaches – velocity, acceleration, Reynold’s transport theorem

– conservation of mass, momentum and energy equations – Gradient of velocity –

deformation and rotation tensors – stress strain relations – Navier – Stoke’s equations –

Cartesian and polar coordinates(derivation) – Energy equation – Boundary layer equation.

Stream function – potential flow – vorticity stream function formulation – potential flow –

Turbulence and turbulence modeling.Finite difference schemes – backward - central and

forward schemes – stability analysis – Finite volume method for incompressible flows –

Vertex centered and cell centered FVM – Treatment of convection term – Upwind, hybrid,

upwind least square reconstruction and QUICK schemes – staggered and collocated grids –

solution algorithms for both types – Evaluation of velocity field – SIMPLE, SIMPLER, and

projection methods – Time dependent problems – Implicit, Crank- Nicolson and Explicit

schemes – Finite volume method for compressible flows- Treatment of convection terms –

Flux vector splitting method – Artificial diffusion – Structured and unstructured grids –

Solution of system of equations – Tridiagonal matrix algorithm – Line by line solver.

Development of a computer program for the analysis of incompressible flows in two

dimensions – solution of few typical problems using the computer program. Study of

any two latest papers describing development in CFD.

References: 1. J D Anderson : Computational Fluid Dynamics – Mc Graw Hill International,

1995

2. C A J Fletcher : Computational Techniques for Fluid Dynamics – Vol 1 & 2,

Springer Verlag, 1988

3. S V Patankar : Numerical Heat Transfer – Hemisphere, 1980

4. K Muralidhar and T Sundrarajan : Computational Fluid Flow and Heat Transfer,

Narosa Publishers, 1996.

5. K.Muralidhar and G.Biswas: Advanced Engineering Fluid Mechanics, Narosa

Publishers, 1996.

6. Joel H Ferziger, Milovan Peric : Computational Methods for Fluid Dynamics.

Note: 20% choice may be given at the time of setting the question paper

78

MTI 2001: NUMERICAL METHODS 3 – 0 – 0 - 3 Solution of algebraic and transcendental equations- Review and comparison of various

iterative methods, convergence – Generalised Newton-Raphson method for multiple roots –

Higher order methods – Newton’s method for non-linear systems. Solution of simultaneous

equatiuons-Direct & indirectmethods-Gauss elimination and Gauss Jordan methods – ill

conditioning – pivoting – Jacobi, Gauss-Seidel and Relaxation methods-convergence-Eigen

value problems-Vector iteration method.

Interpolation-Newton’s Divided difference, Lagrange, Aitken, Hermite and Spline techniques

– Inverse interpolation-Error estimates-Double interpolation- Trigonometric interpolation.

Numerical differential- Numerical integration-Newton-Cote’s Integration formula-Gauss

quadrature-Error estimates-Double integration.

Curve fitting – method of least squares – nn-linear relationships – Correlation and Regression

– Linear Correlation – Measures of correlation – Standard error of estimate – Coefficient of

correlation – Multiple linear regression.

Solution of ordinary differential equations-Single step & multi step methods-stability of

solution – simultaneous first order differential equations- higher order different equations.

Numerical solution of integral equations.

Partial eifferential equations – classification – Laplace equation, ID wave equation, ID heat

equation – Finite differencemethods – Relaxation methods. Stability and convergence of

solution.

Note- Computer program assignments are essential as part of sessional requirements.

Reference: 1. Numerical methods for Scientific and Engineering Computation – Jain M.K.,

2. Elementary Numerical Analysis – Conte and Carl DeBoor

3. Introduction to Numerical Analysis – Gupta A and Bose S C

4. Introduction to Numerical Analysis – Hilderbrand FB

5. Introduction toNumerical Analysis – Fjorberg C E

6. An Introduction toNumerical Analysis – Kendall E Atkinson

7. Statistics – Murrey R Spiegel

8. Numerical Mathematical Analysis – James B. Scarborough

9. Applied Numerical Analysis – C F Gerald & P O Wheatley

10. Numerical algorithms – E V Krishnamurthy & S K Sen

Note: 20% choice may be given at the time of setting the question paper

79

MRI 2001 FINITE ELEMENT METHODS 3 – 0 – 0-3

Introduction, historical background, general procedure, applications, advantages. Theory of

elasticity, stress and equilibrium, strain displacement relationship, stress-strain relationship,

plain stress, plain strain and axi-symmetric approximation. Temperature effect. Potential

energy and equilibrium, principles of minimum potential energy. The Rayleigh Ritz method,

Gelarkin method, Saint-Venant’s principle. Solution of algebraic equations. Banded and

skyline solutions. Numerical integration using Gauss Quadrature. Finite element modeling-

types of elements, Discretization, Shape functions-Types (linear and quadratic) Boundary

conditions, penalty and elimination approach for scientific displacements, multipoint

constraints , local and global co-ordinates derivation of element equations on axial beam ,

bending beam elements, transformation matrices, assembly procedure, Global equations, load

vector, properties of stiffness matrices. 2D problems with CST, Axi-symmetric solid

subjected to axi-symmetric loading. Two dimensional isoparametric elements.

Mesh generation, Node numbering, Scalar field problems, Element mass matrices.Evaluation

of Eigen value and Eigen vectors. Modeling and solution procedure for heat transfer

problems. Determination of critical speed of shafts. Finite element packages. Post processing.

Text book:- Introduction to finite element in engineering Thiruppathi R Chandrapath &

Ashok D Beligundu.

References :- 1) Finite element methods O.C.Zienkievicz & R.L.Tsyor

2) Finite element methods R.D.Cook

3) Finite element methods S.S.Rao

Note: 20% choice may be given while setting the question paper.

80

MRI 2002 ADVANCED NUMERICAL TECHNIQUES FOR

ENGINEERING 3-0-0-3

Solution of Simultaneous Linear Equations- Guassian elimination and Guass-JordanMethods,

Matrix inversion, Interactive Method and Relaxation Method. Solution of nonlinear equation-

Linear interpolation Methods, Newton’s Method, Muller’s Method. Numerical Differentiation

and Integration-derivatives from Differences Table, Higher- Order Derivatives, Newton-

Cotes Integration Formula, Trapezoidal Rule and Simpson’s Rule. Solution of Ordinary

differential Equation. Taylor- series, Modified Euler Method, Renge-Kutta Method.

Boundary- value Problem, Finite element Method- Rayleigh- Ritz Method, Galerke Method,

Finite element for Ordinary Differential equation. Optimization techniques-Conventional and

Non Conventional. Introduction to MATLAB.

References:

1) Applied Numerical Analysis- Gerald/Wheatly, Pearson Education.

2) Numerical Methods using MATLAB, third Edition- John H Mathews,

Pearson Education.

3) Numerical Methods Scientific and Engineering Computation- M.K. Jain,

S.R.K.Iyengar, R.K. Jain, Wiley Eastern Ltd

Note: 20% choice may be given while setting the question paper.

81

MRI 2003 TOTAL QUALITY MANAGEMENT 3-0-0-3

Quality and Total Quality-small ‘q’ and Big ‘Q’. tatal Quality Model- internal customer-

Imperatives of TQM- Cost of poor Quality-QC. Tools- management Vs Leadership. Six E’s

of outstanding leadership- importance of QC due to globalization- Introduction of Quality

control- control chart techniques- acceptance sampling- Reliabilty- Reliabilty improvement-

maintainability and availability- Quality control in Industry-QC organization. Tools for

effective product development. Requirement world class manufacturing. KAIZEN-

Continuous improvement- improvement Vs crisis management JIT, Concurrent Engineering

TPM, BPR, Quality circle- ISO 9000- Bench Marking- Computer Applications.

References:

1) TQM- Paul James (Prentice Hall International)

2) Quality Management – David L.Goetsch & Stanley. B. Davis (Prentice

Hall International)

3) Total Quality Management – Dale .H. Basterfield

4) Fundamentals of Quality Control and Improvement- Amitava Mitra

5) Total Quality Handbook- David.L.Goetsch & Stanley.B.Davis

6) Total Quality- Bharat Wakhulu (A.H. Wheeles & Co.Ltd. 1998)

7) TQM & ISO 14000- Dr.K.C. Arrora (S.K. Kataria& Sons)

8) Total Quality Handbook- Tata Steel

Note: 20% choice may be given while setting the question paper.

82

MRI 2004 OPTIMIZATION TECHNIQUES 3-0-0-3

Introduction, Optimal Problem formulation- Design variable, constraints, Objective function

and variable bounds, single variable optimization algorithms- Optimality criteria, Exhaustion

search methods, Fibronacci search methods. Multi variable optimization algorithm-

Optimality criteria, unidirectional search method, Simplex method, Powell’s conjugate

direction method. Constrained Optimization algorithm- penalty function method, Sensitivity

analysis, Frank-wolf method, cutting plain method, Integer programming. Non traditional

optimization algorithm- Genetic algorithm- Working principle, Building Block Hypothesis,

GA Operators- Selection, Crossover and mutation, GA for constrained optimization,

Advanced GA operators, implementation of GA, Introduction to Simulated Annealing, Global

Optimization using GA and simulated annealing.

References:

1) Optimization for Engineering Design, Algorithm& Examples- Kalyanmony Deb.(PHI)

2) Optimization Theory & Application- S.S. Rao

3) Genetic Algorithm in search, Optimization & Machine Learning- Goldberg, D.E.

4) Simulated Annealing and Bolzman’s Machine: A Stochastic Approach to Combinational

Optimization and Neural Computing- Aarts, E and Korst,J.

5) Handbook of Genetic Algorithm- Davis. C.

6) Engineering Optimization- Methods and Applications- Reklaitis. G.V.

7) Operation Research- Taha, H.A. Note: 20% choice may be given while setting the question paper.

83

TAI 2001 MECHATRONICS 3-0-0-3

Mechatronics System Design - Integrated Design Issues in Mechatronics, Mechatronics Key

Elements, The Mechatronics Design Process, Advanced Approaches inMechatronics. Sensors

and transducers: Introduction-Performance Terminology- Displacement, Position and

Proximity-Velocity and Motion-Fluid Pressure-Temperature Sensors-Light Sensors-Selection

of Sensors-Signal Processing. Artificial Intelligence in Mechatronics, Fuzzy Logic

Applications in Mechatronics, Microsensors in Mechatronics. Introduction to Modern CNC

Machines - Advantages of CNC Machines, CNC Machining Centre Developments, Turning

Centre Developments, Part Program Terminology: G and M Codes, Types of interpolation,

Methods of CNC part programming, Manual part programming, Computer Assisted part

programming: APT language. Programmable Logic Controller: PLC Programming,

Introduction-Basic structure- Input/Output Processing-Programming-Mnemonics-Timers,

Internal relays and counters- Data handling-Analog Input/Output-Selection of a PLC. Direct

Numerical Control(DNC).

Reference:

1. Devdas Shetty & Richard A Kolk - Mechatronics System Design – PWS Publishing

Company

2. Mechatronics – HMT Ltd., TMH

3. Bradley D.A., Dawson D., Buru N.C. and Loader A.J., “Mechatronics”, Chapman and

Hall, 1993.

4. Histand Michael B. and Alciatore David G., “Introduction to Mechatronics and

Measurement Systems”, McGraw Hill International Editions, 2003.

5. Bolton W., “Mechatronics”, Longman,Second Edition, 2004.

For the End semester exam ( 50 marks), the question paper shall have six questions of 10

marks each covering entire syllabus out of which any five shall be answered. It shall have

75% problems & 25% Theory.For the Internal marks of 50, Two test of 20 marks each and 10

marks for assignments(Minimum two) /Term Project.

84

TMI 2001 FUZZY SYSTEMS & APPLICATIONS 3-0-0-3

Introduction to Fuzzy sets and systems. Basics of fuzzy sets, membership function, support of

a fuzzy set, height - Normalised fuzzy set, α- cuts (decomposition of a fuzzy set), set

theoretic definitions on fuzzy sets, complement, intersection and union equality, subsethood -

basic definition based on membership functions. The law of the excluded middle and law of

contradiction on fuzzy sets. Properties of fuzzy sets operations (logical proof only). Extension

of fuzzy sets concepts - type-2 and level 2fuzzy sets - examples.

Operations on fuzzy sets - intersection, algebraic sum - product, bounded sum - product,

drastic sum product, t-norms and t-conorms(s - norms) on fuzzy sets, typical parameterised t -

norms and s-norms(with simplified proof). Extension principle and its applications. Fuzzy

relation. Resolution form of a binary fuzzy relation. Operations on fuzzy relations -

projection, max.-min. and min and max, compositions cylindric extension. Similarity

relations - Reflexivity, symmetry, transitivity. Further operations on fuzzy sets, concentration,

dilation, contrast intensification, linguistic hedges. Logical operations on fuzzy sets –

Negation – Conjunction, disjunction, implication, fuzzy inference. Block diagram of a fuzzy

logic system. Fuzzy rule base – simplification of compound rule base – fuzzy inference –

max. – min, man product, man drastic product, man bounded product. Defuzzification –

Centre of gravity, center of sums, weighted average etc. Fuzzy pattern recognition-Feature

analysis, Partitions, Identification, Multifeature recognition. Fuzzy control systems- Review

of control theory for fuzzy controls, Simple controllers, General controllers, Stability,

Models, Inverted pendulum, Aircraft landing control, Aircondioner control.

References: 1. C.T Lin & C S George Lee: Neural Fuzzy Systems, Prentice Hall. (Module 1, 2, 3)

2. Ahamad M. Ibrahim : Introduction to Applied Fuzzy Electronics, PHI. (Module 3)

3. S. Rajasekharan, G A Vijayalakshmi Pai : Neural Networks, Fuzzy logic and Genetic

Algorithms, PHI.

4. Timothy J. Ross, Fuzzy Logic with Engineering Applications, 2/e, McGraw Hill.

Reading: 1. Earl Cox: Fuzzy Systems Handbook, Associated Press

2. Klir and Yuan: Fuzzy Sets and Fuzzy Logic- Theory and Applications, Prentice Hall

of India.

3. Bart Kosko: Fuzzy Engineering, Prentice Hall.

4. Bart Kosko: Fuzzy Thinking , Hooper Collins Publications.

5. Yen: Fuzzy Logic: Intelligence, Control and Instrumentation , Pearson Education,2002

For the End semester exam ( 50 marks), the question paper shall have six questions of 10

marks each covering entire syllabus out of which any five shall be answered. It shall have

50% problems & 50% Theory. For the Internal marks of 50, Two test of 20 marks each

and 10 marks for assignments (Minimum two) /Term Project

85

TSI 2001 ARTIFICIAL NEURAL NETWORKS 3-0-0-3

Introduction to Neural Networks Biological Neurons and Neural Networks, Networks of

Artificial Neurons. Single Layer Perceptrons, Learning and Generalization in Single Layer

Perceptrons, Hebbian Learning, Gradient Descent Learning, learning rates, Widrow-Hoff

Learning , The Generalized Delta Rule, Practical Considerations

Basic neural network models ADALINE networks, LMS algorithm, Learning in Multi-

Layer Perceptrons, Back-Propagation algorithms, Radial Basis Function Networks:

Fundamentals, Algorithms and Applications, Learning with Momentum, Conjugate Gradient

Learning, Bias and Variance. Under-Fitting and Over-Fitting. Applications of Multi-layer

Perceptrons.

Basic learning models Associative Learning, Competitive Networks, Winner-take-all

networks, Adaptive Resonance Theory (ART), Neural networks as associative memories,

Hopfield network, BAM, Self Organizing Maps: Fundamentals, Algorithms and Applications. Learning Vector Quantization, Optimization problems solving using neural networks, Stochastic

neural networks, Boltzmann machine

Applications of artificial neural networks: Application areas like system identification and

control, decision making, pattern recognition, and sequence recognition.

References:

1. Simon Haykin, "Neural Networks", second edition, Prentice Hall, 1999

2. Christopher M. Bishop, Neural Networks for Pattern Recognition by Oxford University

Press, 1995

3. Martin T. Hagan, Howard B. Demuth, Mark Beale, Neural Network Design, Vikas

Thomson learning

For the End semester exam ( 50 marks), the question paper shall have six questions of 10

marks each covering entire syllabus out of which any five shall be answered. It shall have

75% problems & 25% Theory.

For the Internal marks of 50, Two test of 20 marks each and 10 marks for assignments

(Minimum two) /Term Project.

86

EMI2001 BIOMEDICAL INSTRUMENTATION 3 – 0 – 0 – 3

Course Objective: To make an introduction to the modern Biomedical instruments and

systems, their features and applications

Syllabus: Introduction to the physiology of cardiac, nervous, muscular and respiratory systems. Transducers and

Electrodes Different types of transducers and their selection for biomedical applications, Electrode

theory, Different types of electrodes, reference electrodes, hydrogen, calomel, Ag-AgCl, pH electrode,

selection criteria of electrodes. Measurement of electrical activities in muscles and brain

Electromyography, Electroencephalograph and their interpretation. Cardiovascular measurement The

cardio vascular system, Measurement of blood pressure, sphygmomanometer, blood flow, cardiac

output and cardiac rate. Electrocardiography, echo-cardiography, ballistocardiography,

plethysmography, magnetic and ultrasonic measurement of blood flow. Therapeutic Equipment

Cardiac pace-makers, defibrillators, hemodialysis machine, diathermy. Respiratory System

Measurement Respiratory mechanism, measurement of gas volume, flow rate, carbon dioxide and

oxygen concentration in inhaled air, respiration controller. Instrumentation for clinical laboratory

Measurement of pH value of blood, ESR measurements, oxygen and carbon dioxide concentration in

blood, GSR measurement X-ray and Radio isotopic instrumentation, diagnostic X-ray, CAT, medical

use of isotopes. Ultrasonography, MRI

References: 1. ‘Handbook of Biomedical Instrumentation’– R S Khandpur – TMH Publishing Company Ltd. New Delhi

2. ‘Introduction to Biomedical Equipment Technology’– Joseph J Carr, John M Brown – Pearson Education

(Singapore) Pte. Ltd

3. ‘Biomedical Instrumentation and Measurements’ – Leslie Cromwell – Prentice Hall of India Pvt. Ltd, New

Delhi

Prerequisite: Basic knowledge in electronic instrumentation

Note: 20% choice may be given at the time of setting the question paper

87

EGI 2001 INTRODUCTION TO NAVIGATION, GUIDANCE AND CONTROL

3 – 0 – 0 - 3

Course Objective: To impart basic ideas of Navigation and Guidance and control of Aero

space vehicles

Syllabus: Introduction to the concepts of navigation guidance and control. General principles of early

conventional navigation systems. Geometric concepts of navigation. Reference frames.

Direction cosine matrix, Euler angles, Quaternion representation in co-ordinate

transformation. Comparison of transformation methods, GPS and GNSS.

Inertial navigation- block diagram- inertial sensors-Gyros – Principle of operation-

Accelerometer- principle of operation-Inertial platforms-stabilised platforms-gimballed

and strap down INS. Stabilization and Control of space crafts, Missile control systems and

Autopilots, Launch vehicle flight control systems. Longitudinal and lateral autopilots for

aircraft. Radar systems- Command and Homing guidance systems

References: 1. Modern Inertial Technology second Edition - Anthony Lawrence Springer-Verlag - New York, Inc, 1998.

2. Aerospace Avionics Systems- A Modern Synthesis - George M Siouris- - Academic Press, Inc.

3. Modern Navigation, Guidance, and Control Processing- - Ching-Fang –Lin- - Prentice-Hall Inc, Engle Wood

Cliffs, New Jersey, 1991

4. Inertial Guidance Engineering- - Manuel Fernadez and George R Macomber- - Prentic-Hall, Inc., Engle Wood

Cliffs, New Jersey, 1962

5 Automatic Control of Aircraft and Missiles – Blaklock J H – Wiley, 1990

Note: 20% choice may be given at the time of setting the question paper

88

EPI 2001 ENERGY CONSERVATON AND MANAGEMENT 3 – 0 – 0 – 3

Course Objective: This subject provides essential input to equip engineers of any discipline suitable

to take up responsibility of an energy manager in any organization

Syllabus: Energy conservation management The relevance of energy management profession; general principles

of energy management and energy management planning; application of Pareto’s model for energy

management; obtaining management support; establishing energy data base; conducting energy audit;

identifying, evaluating and implementing feasible energy conservation opportunities; energy audit

report; monitoring, evaluating and following up energy saving measures/ projects. Energy efficiency

Energy efficiency analysis; thermodynamics and energy; coefficient of performance; energy

effectiveness; management of heating, ventilating and air-conditioning (HVAC) – principles,

opportunities, case studies; management of process energy- principles, opportunities, case

studies;management of electrical load and lighting - management opportunities with electric

drives,lighting, heating and electrolytic systems; electrical load analysis; peak demand control;

computer-aided energy management; cogeneration; forms of cogeneration; feasibility study for

cogeneration. Energy efficiency of turbines, compressors and pumps; specific energy consumption;

parameters affecting specific energy consumption; flexi targeting technique. Energy economics

Financial evaluation of energy projects; cash flow model; time value of money; evaluation of

proposals - payback method, average rate of return method, internal rate of return method, present

value method, profitability index, life cycle costing approach, investment decision and uncertainty;

consideration of income taxes, depreciation and inflation in investment analysis.

Text-books: 1. ‘Industrial energy conservation’ – Charles M Gottschalk – John Wiley & Sons, 1996

2. ‘Energy management principles’ – Craig B Smith – Pergamon Press

References:

1. IEEE recommended practice for energy management in industrial and commercial facilities, IEEE

std 739 – 1995 (Bronze book)

2. ‘Optimizing energy efficiencies in industry’ – G G Rajan – Tata McGraw Hill, Pub. Co., 2001

3. ‘Energy management’ – Paul O’Callaghan – McGraw Hill Book Co

4. ‘Energy management Hand Book’ – Wayne C Turner – The Fairmount Press, Inc., 1997

5. ‘Energy Technology’ – S Rao and B B Parulekar – Khanna Publishers, 1999

Pre-requisite: General background of any Engineering Degree will be sufficient to learn this subject

Note: 20% choice may be given at the time of setting the question paper

89

ECI 2003 ENGINEERING OPTIMIZATION 3 – 0 – 0 – 3

Course Objective: Course offers different optimization procedures to solve a wide variety

of problems which can be applied to different fields

Syllabus:

Concepts of optimization: Statement of optimization problem - Classification – Engineering

applications. Linear Programming- Graphical method- Simplex method – Duality- Sensitivity

analysis -Transportation and assignment problems.

Nonlinear programming- Unconstrained optimization techniques-Direct search methods-

Descent methods -Constrained optimization - Direct and Indirect methods - Kuhn tucker

conditions.

Dynamic programming- Multistage decision process -Concept of sub optimization and

Principle of optimality -Computational procedure

Advanced optimization techniques- Genetic Algorithm -Simulated annealing methods-

Optimization programming. Text books:

1. ‘Engineering optimization, Methods and Applications’– G V Reklaitis, A Ravindran & K M Rajsdell

– John Wiley & Sons

2. ‘Engineering Optimization Theory and Practices’ – Singiresu S Rao, John – 3rd Edition, Wiley and Sons, 1998

References:

1. ‘Operations Research - Principles and Practice’ – A Ravindran, Don T Philips and Jamer J Solberg

– John Wiley & Sons

2. ‘Practical Optimization’ – P G Gill, W Murray and M H Wright – Academic Press, 1981

3. ‘Introduction to Operations Research’ – Fredrick S Hiller and G J Liberman – McGraw-Hill Inc 1995

4. ‘Optimization Concepts and Applications in Engineering’ – Ashok D Belegundu, Tirupathi R Chandrapatla

– Pearson Education, Delhi, 2002

Prerequisite: Knowledge in matrix algebra and differential calculus.

Note: 20% choice may be given at the time of setting the question paper

90

MCI 2001 EXPERIMENTAL STRESS ANALYSIS

Credits: 3

Experimental determination of static and dynamics stress in machine elements using strain

gauges. Electrical strain gauges. Moiré fringe techniques. Theory of photo elasticity and

photo plasticity, holography and brittle lacquer technique. Application to solutions of special

design problems.

Reference:

1. Experimental stress Analysis Dally .J.W and Riley W.F.

2. Experimental Stress Analysis and Motion measurement Adams P.H. and Dove R.C.

3. Applied stress Analysis Durelli .A.

MCI 2002 FREACTURE MECHANICS

Credits: 3

Evolution of fracture Mechanics: Elements of elasticity and plasticity; Energetic of fracture,

Energy release rate and stress intensity factor, Mixed mode fracture Mechanics, Dynamic

fracture, Application of Fracture Mechanics to Engineering Design.

Reference:

1. Elementary Engineering Fracture Mechanics Brook D.

2. Fracture(VII vol ) Liebowitz