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Department of Applied Electronics & Instrumentation

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

RSET VISION

To evolve into a premier technological and research institution, moulding eminent professionals with creative minds, innovative ideas and sound practical skill, and to shape a future where technology works for the enrichment of mankind.

RSET MISSION

To impart state-of-the-art knowledge to individuals in various technological disciplines and to inculcate in them a high degree of social consciousness and human values, thereby enabling them to face the challenges of life with courage and conviction.

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DEPARTMENT VISION

To evolve into a centre of academic excellence, developing professionals in the field of electronics and instrumentation to excel in academia and industry.

DEPARTMENT MISSION

Facilitate comprehensive knowledge transfer with latest theoretical and practical concepts, developing good relationship with industrial, academic and research institutions thereby moulding competent professionals with social commitment.

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PROGRAMME EDUCATIONAL OBJECTIVES PEOI: Graduates will have the fundamental and advanced knowledge in mathematics, science, electronics, instrumentation and allied engineering. PEOII: Graduates shall pursue higher studies, or take up engineering profession in design and development or take up engineering research assignments. PEOIII: Graduates will be conscious of the need for environment friendly engineering solutions and will be equipped with positive attitude, to help them to acquire leadership qualities as well as team spirit and get adapted to the current industrial scenario.

PROGRAMME OUTCOMES a) Students will be capable of applying the knowledge of mathematics, science and engineering in the field of electronics and instrumentation engineering. b) Students will have the ability to design and conduct experiments, analyze and interpret data in electronics and instrumentation engineering. c) Students will have the ability to design electronics and instrumentation system components or processes to meet desired needs within realistic constraints such as health and safety, economic, environmental and societal considerations. d) Students will be able to work individually as well as in multidisciplinary teams, as a member or as a leader, to accomplish the common goal. e)

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e) Students will be able to identify, analyze, formulate and solve engineering problems. f) Students will be capable of applying the knowledge of mathematics, science and engineering in the field of electronics and instrumentation engineering. g) Students will have the ability to design and conduct experiments, analyze and interpret data in electronics and instrumentation engineering. h) Students will have the ability to design electronics and instrumentation system components or processes to meet desired needs within realistic constraints such as health and safety, economic, environmental and societal considerations. i) Students will be able to work individually as well as in multidisciplinary teams, as a member or as a leader, to accomplish the common goal. j) Students will be aware of the contemporary issues, which help them to integrate advanced and sustainable solutions into the user environment. k) Students will demonstrate skills to use modern engineering tools, software and equipment to analyze and model complex engineering solutions. l) Students will demonstrate knowledge and understanding of the management principles to estimate the requirements and to manage projects in multidisciplinary environments. m) Students will excel in competitive examinations like GATE, GRE and Engineering Services Examination.

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INDEX 1. 2. 3. 4.

5.

6.

7.

8.

9.

10.

SEMESTER PLAN ASSIGNMENT SCHEDULE SCHEME AI010 801:INSTRUMENTATION SYSTEM DESIGN 4.1. COURSE INFORMATION SHEET 4.2. COURSE PLAN AI010 802: INSTRUMENTATION IN PROCESS INDUSTRIES 5.1. COURSE INFORMATION SHEET 5.2. COURSE PLAN AI010 803: COMPUTER NETWORKS 6.1. COURSE INFORMATION SHEET 6.2. COURSE PLAN AI010 804 L01:NEURAL NETWORKS 7.1. COURSE INFORMATION SHEET 7.2. COURSE PLAN AI010 804 L04: ARTIFICIAL INTELLIGENCE 8.1. COURSE INFORMATION SHEET 8.2. COURSE PLAN AI010 805:INDUSTRIAL POLLUTION CONTROL 9.1. COURSE INFORMATION SHEET 9.2. COURSE PLAN AI010 806: PROCESS CONTROL LAB 10.1. COURSE INFORMATION SHEET 10.2. COURSE PLAN

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SEMESTER PLAN

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ASSIGNMENT SCHEDULE Week 5 Week 5 Week 6 Week 6 Week 6 Week 7 Week 10 Week 10 Week 11 Week 11 Week 11 Week 12

AI010 801:INSTRUMENTATION SYSTEM DESIGN AI010 802: INSTRUMENTATION IN PROCESS INDUSTRIES AI010 803: COMPUTER NETWORKS AI010 804 L01:NEURAL NETWORKS AI010 804 L04: ARTIFICIAL INTELLIGENCE AI010 805:INDUSTRIAL POLLUTION CONTROL AI010 801: INSTRUMENTATION SYSTEM DESIGN AI010 802: INSTRUMENTATION IN PROCESS INDUSTRIES AI010 803: COMPUTER NETWORKS AI010 804 L01:NEURAL NETWORKS AI010 804 L04: ARTIFICIAL INTELLIGENCE AI010 805:INDUSTRIAL POLLUTION CONTROL

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SCHEME

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AI010 801

INSTRUMENTATION SYSTEM DESIGN

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: : INSTRUMENTATION SYSTEM DESIGN COURSE CODE: AI010 801 REGULATION: 2010 COURSE AREA/DOMAIN:INSTRUMENTATION CORRESPONDING LAB COURSE CODE (IF ANY): NIL SYLLABUS: UNIT I

II

III

IV

V

DEGREE: BTECH SEMESTER: 8

CREDITS: 4

COURSE TYPE: CORE CONTACT HOURS: 3+2 (Tutorial) hours/Week. LAB COURSE NAME:NA

DETAILS HOURS Sensing element : Elastic sensing elements - Cantilever and torque 9 elements, Pillar load cell, Strain gauge accelerometer- Inductive push pull displacement sensor -Capacitive level sensor .Signal conditioning element :Design of resistive and reactive bridges for sensors. Design of the bridge Circuit for RTD- Design of reference junction compensation for thermocouple.- Linearising techniques for thermocouple and thermistor- Design of charge amplifier-Instrumentation amplifier. A.C. carrier systems.- Lock in amplifier. Current transmitters-Concept of 2 and 4 wire transmitters with 4-20mA 9 output- Open loop and closed loop current transmitters. Smart transmitters- Future trends in intelligent devices- Design of pneumatic and electronic PID controllers-Design of ON-OFF controllers with neutral zone -Design of instrumentation servo mechanism- Design of annunciators - Low level and high level annunciators.- Enunciators Orifice meter- Design of orifice for a given flow condition for 9 compressible and incompressible fluids -Design of rotameter- Design of venturi meter- Bourdon gauges-Factors affecting sensitivity- Design of bourdon tubes- Design of square root extractors for variable head flow meters. Piping and instrumentation diagrams – ISA symbols – Process and 9 instrumentation (PI)diagram of typical process plant – Preparation of instrumentation project – Documents to be produced- Process flow sheet – mechanical flow sheets- Instrument index sheet – Instrument specification sheet – Process information required- process information – Bid documents – project procedures – Project schedule – Vendor drawings – Work coordination – Project manager – process engineer – Equipment engineer – Job execution – planning hints- scheduling- Project checklist – equipment delivery - Conclusion Instrument specification sheet for pressure – Choice of temperature – flow – level – analytical instruments and control panels. Signals and noise in instrument systems – Statistical representation – pdf 9

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– psd – Auto correlation function – Effects of noise and interference – Series and common mode – Noise sources and coupling mechanisms – Multiple earths – Methods of reduction of noise – Shielding – Screening – Filtering – Modulation – Averaging – Auto correlation. TOTAL HOURS TEXT/REFERENCE BOOKS:

45

T/R BOOK TITLE/AUTHORS/PUBLICATION T1 John P. Bentley : Principles of measurement systems, Longman 1983 T2 Johnson C.D: Process control instrumentation technology, 4/e, PHI, 1995 T3 D. Patranabis : Principles of Industrial Instrumentation, Tata McGraw Hill Publishing Ltd. New Delhi, 1999 T4 Sheingold D. H.: Transducer interfacing hand book – a guide to analog signal conditioning, analog devices Incmasschusetts, 1980. T5 Anderson N. A. : Instrumentation for process measurement and control :Chilton book company 1980. T6 Andrew W.: Applied Instrumentation in process Industries; Vol. II. Gulf publications, 1990. T7 Doebelin E. O., Measurement systems applications and design, McGraw Hill, 1975. T8 Tattamangalam R. Padmanabhan : Industrial Instrumentation Principles and Design, Springer International T9 E. Radhakrishnan : Instrumentation, measurements and Experiments in Fluids, Boca Raton, FL : CRC Press COURSE PRE-REQUISITES: C.CODE COURSE NAME AI 010 Process Control 601 Instrumentation COURSE OBJECTIVES:

DESCRIPTION To have a basic idea about instrumentation systems

SEM S6

1 Design of instrumentation systems for various applications 2 Design of electronic and pneumatic controllers 3 Piping and instrumentation diagrams 4 Procedures for the preparation of an instrumentation project 5 Noise and noise reduction techniques in measurement COURSE OUTCOMES: SNO 1 2 3 4 5

PO MAPPING Graduates will be able to maintain a process control system a, h, e Graduates will be able to design a process control system c Graduates will be able to do projects in process control industry a, h, f Graduate can become consultants to small scale industries e Graduates will be able to contribute to professional society and g standards

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DESCRIPTION

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GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO

DESCRIPTION

1

Documentation details

2

Safety instrumented systems

PROPOSED ACTIONS internship in industries Industrial visit

PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1 2

Hazardous area classification Cable schedule, loop diagrams, and itergraph software

WEB SOURCE REFERENCES: 1 2 3 4 5

www.engineering toolbox.com www.IEC.org www.ISA .org www.controlengineering.com www.plantwebunversity.com

DELIVERY/INSTRUCTIONAL METHODOLOGIES: ☐ CHALK & TALK

☐ STUD. ASSIGNMENT

☐ WEB RESOURCES 

☐ LCD/SMART

☐ STUD. SEMINARS 

☐ ADD-ON COURSES 

BOARDS 

ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS  ☐ STUD. LAB PRACTICES ☐ ADD-ON

☐ STUD.

☐ TESTS/MODEL

☐ UNIV.

SEMINARS ☐ STUD. VIVA

EXAMS  ☐ MINI/MAJOR PROJECTS

EXAMINATION  ☐ CERTIFICATIONS

☐ OTHERS

COURSES

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ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY FEEDBACK, ONCE)  ☐ ASSESSMENT OF MINI/MAJOR PROJECTS

☐ STUDENT FEEDBACK ON FACULTY (TWICE) ☐ OTHERS

BY EXT. EXPERTS

Prepared by

Approved by

Ms. Mary Hexy

Ms. Liza Annie Joseph

(Faculty)

(HOD)

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COURSE PLAN Module 1 Sl. No.

Topic

No. of lecture hours

1

Introduction Instrumentation System Design

1

2

Sensing element : Elastic sensing elements, Cantilever and torque elements

1

3

Pillar load cell, Strain gauge accelerometer.

1

4

Inductive push pull displacement sensor, Capacitive level sensor.

1

5

Signal conditioning element: Design of resistive and reactive bridges for sensors.

1

6

Design of the bridge Circuit for RTD.

1

7

Design of reference junction compensation for thermocouple

1

8

Linearizing techniques for thermocouple and thermistor.

1

9

Design of charge amplifierInstrumentation amplifier, A.C. carrier systems.- Lock in amplifier

1

Reference Books

1. John P. Bentley : Principles of measurement systems 2. Sheingold D. H.: Transducer interfacing hand book – a guide to analog signal conditioning.

Total hours : 9

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Module 2 Sl. No.

Topic


1

Current transmitters -Concept of 2 and 4 wire transmitters with 4-20mA output

1

2

Open loop and closed loop current transmitters.

1

3

Smart transmitters.

1

4

Future trends in intelligent devices.

1

5

Design of pneumatic and electronic PID controllers.

1

6

Design of ON-OFF controllers with neutral zone.

1

7

Design of instrumentation servo mechanism.

1

8

Design of annunciators, Low level and high level annunciators, Enunciators.

1

Reference Books

1. John P. Bentley : Principles of measurement systems 2. Sheingold D. H.: Transducer interfacing hand book – a guide to analog signal conditioning.

Total hours : 9

Module 3 Sl. No.

Topic


1

Orifice meter- Design of orifice for a given flow condition for compressible and incompressible fluids

2

2

Design of rotameter.

2

3

Design of venturi meter

2

4

Design of Bourdon gauges-Factors affecting sensitivity.

1

COURSE HANDOUT: S8

Reference Books

1. Tattamangalam R. Padmanabhan : Industrial Instrumentation Principles and Design 2. Sheingold D. H.: Transducer interfacing hand book – a guide to analog signal conditioning.

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AI010 801


5

Design of bourdon tubes

1

6

Design of square root extractors for variable head flow meters

1

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Total hours : 9

Module 4 Sl. No.

Topic


1

Piping and instrumentation diagrams, ISA symbols.

1

2

Process and instrumentation (PI)diagram of typical process plant, Preparation of instrumentation project.

1

3

Documents to be produced, Process flow sheet.

1

4

Mechanical flow sheets, Instrument index sheet.

1

5

Instrument specification sheet Process information required.

1

6

Process information, Bid documents

1

7

Project procedures, Project schedule.

1

8

Vendor drawings, Work coordination.

1

9

Project manager, process engineer, Equipment engineer.

1

10

Job execution, planning hints, scheduling

1

11

Project checklist, equipment delivery.

1

12

Conclusion Instrument specification COURSE HANDOUT: S8

Reference Books

1. Anderson N A: Instrumentation for process measurement and control

1

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sheet for pressure. 13

Choice of temperature, flow, level analytical instruments and control panels

1

Total hours : 13

Module 5 Sl. No.

Topic


1

Signals and noise in instrument systems – Statistical representation, pdf, psd

2

2

Auto correlation function, Effects of noise and interference

2

3

Series and common mode, Noise sources and coupling mechanisms

1

4

Multiple earths, Methods of reduction of noise.

1

5

Shielding, Screening, And Filtering.

2

6

Modulation, Averaging, Auto correlation

1

Reference Books

1. Tattamangalam R. Padmanabhan : Industrial Instrumentation Principles and Design. 2. Sheingold D. H.: Transducer interfacing hand book – a guide to analog signal conditioning

Total hours : 9

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AI010 802

INSTRUMENTATION IN PROCESS INDUSTRIES

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: : INSTRUMENTATION IN PROCESS INDUSTRIES COURSE CODE: AI010 802 REGULATION: 2010 COURSE AREA/DOMAIN:INSTRUMENTATION CORRESPONDING LAB COURSE CODE (IF ANY): NIL SYLLABUS: UNIT I

II

III

IV

V


CREDITS: 4

COURSE TYPE: CORE CONTACT HOURS: 2+2 (Tutorial) hours/Week. LAB COURSE NAME:NA

DETAILS HOURS Basic concepts and principles of commonly used unit operations – Reactors – batch reactors – distillation towers – refrigeration units – 9 steam boilers – furnaces – dryers – crystallizers – centrifuges – heat exchangers – pumps – compressors – evaporators – extruders. Instrumentation in the Food industry : Description of the process – Measurement hardware in the food industries – Analyzers in the food industry – Valves and feeders in the food industry – Controllers and 9 displays in the food industry – Computer applications in the food industry – Typical control systems in the food industry. Instrumentation in the iron and steel industry: Description of the process – Measurement hardware – analyzers – valves - Controllers and displays 8 in the iron and steel industry – Computer applications in the iron and steel industry – Typical control systems in the iron and steel industry Instrumentation in the Paper industry : Description of the process – Measurement hardware in the Paper industry – Analyzers in the Paper industry – Valves and feeders in the Paper industry – Controllers and displays in the Paper industry – Computer applications in the Paper industry – Typical control systems in the Paper industry. 10 Instrumentation in the Nuclear industry: Description of the processMeasurement hardware in the nuclear industry – Analysers in the nuclear industry – Valves and control rodes in the nuclear industry – Control panels and displays – Computer applications – Typical control system. Instrumentation in the pharmaceutical industry : Description of the process – Measurement hardware in the pharmaceutical industry – Analyzers in the pharmaceutical industry – Valves and feeders in the 9 pharmaceutical industry – Controllers and displays in the pharmaceutical industry – Computer applications in the pharmaceutical industry – Typical control systems in the pharmaceutical industry. TOTAL HOURS 45

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TEXT/REFERENCE BOOKS: T/R BOOK TITLE/AUTHORS/PUBLICATION T1 Instrumentation in the Processing Industries , Bela G Liptak (ed.), Chilton Book Company R1 Unit operation in chemical Engg. McCabe Smith 4/e Mcgrans Hill R2 Chemical reaction Engineering O levenspielJ. Wiley & sons R3 Chemical Engineering Hand book Peiry, McGrans Hill R4 Outline Chemical Technology M GopalRao&M Sitting 3/E East West 1973 COURSE PRE-REQUISITES: C.CODE COURSE NAME AI 010 Industrial 705 Instrumentation-II AI 010 Industrial 603 Instrumentation-I COURSE OBJECTIVES:

DESCRIPTION To understand the different meters in the industry To know the use of different instrument in the industry

SEM S7 S6

1 2

To give a basic knowledge about unit operations To provide exposure to the process and instrumentation applications in different industries COURSE OUTCOMES: SNO

DESCRIPTION

PO MAPPING 1 Graduates will be able to understand the basic principles and concepts c, d, e, g, j, of commonly used unit operations in the process industry. k, l, m 2 Graduates will be able to Analyze the overall instrumentation in a food d, e, i, j, k, industry. l, m 3 Graduates will be able to model the overall instrumentation systems c, d, e, k used in iron and steel industry. 4 Graduates will be able to get a general idea about paper and nuclear e, i, j, k, l, industry. m 5 Graduates will be able to design multidisciplinary instrumentation c, d, i, j, k, systems used in pharmaceutical industry l, m GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO 1

DESCRIPTION P & I diagrams basics

PROPOSED ACTIONS Assignments


TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1

PLC and SCADA Exercises

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WEB SOURCE REFERENCES: 1

http://www.gobookee.org/search.php?q=instrumentation+in+processing+industrie s+liptak 2 http://nptel.iitm.ac.in/syllabus/syllabus_pdf/103105064.pdf DELIVERY/INSTRUCTIONAL METHODOLOGIES: ☐ CHALK & TALK



☐ LCD/SMART


☐ ADD-ON COURSES

BOARDS  ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS  ☐ STUD. LAB

☐ STUD. SEMINARS ☐ STUD. VIVA

PRACTICES

☐ TESTS/MODEL EXAMS  ☐ MINI/MAJOR

☐ UNIV. EXAMINATION  ☐ CERTIFICATIONS

PROJECTS

☐ ADD-ON ☐ OTHERS COURSES ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY

☐ STUDENT FEEDBACK ON FACULTY

FEEDBACK, ONCE) 

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS BY EXT. EXPERTS

☐ OTHERS

Prepared by

Approved by

Ms. Priya S.


(Faculty)

(HOD)

COURSE HANDOUT: S8

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AI010 802


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Topic


1

Introduction

1

2

Basic concepts and principles of commonly used unit operations – Reactors – batch reactors –distillation towers

2

3

Refrigeration units – steam boilers – furnaces

1

4

Dryers – crystallizers – centrifuges – heat exchangers

2

5

Pumps – compressors – evaporators

2

6

Extruders

1

Reference Books

1. George Stephenopoulos: Chemical Process Control,. 2. Instrumentation in the Processing Industries ,Bela G Liptak (ed.), Chilton Book Company . 3. Unit operation in chemical Engg. McCabe Smith 4/e McgrawsHill

Total hours : 9

Module 2 Sl. No.

Topic


1

Description of the process in the food industries

1

2

Measurement hardware in the food industries

2

3

Analyzers in the food industry

1

4

Valves and feeders in the food industry

2

5

Controllers and displays in the food industry

1

6

Computer applications in the food industry

1

COURSE HANDOUT: S8

Reference Books

1. Instrumentation in the Processing Industries , Bela G Liptak (ed.), Chilton Book Company 2. Unit operation in chemical Engg. McCabe Smith 4/e Mcgraws Hill

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AI010 802

7


Typical control systems in the food industry

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1

Total hours : 9

Module 3 Sl. No.

Topic


1

Description of the process in the iron and steel industry

1

2

Measurement hardware -analyzers – valves in the iron and steel industry

2

3

Controllers and displays in the iron and steel industry

2

4

Computer applications in the iron and steel industry

2

5

Typical control systems in the iron and steel industry

1

Reference Books


Total hours : 8

Module 4 Sl. No.

Topic


1

Description of the process in food industry

1

2

Measurement hardware in the Paper industry

1

3

Analyzers in the Paper industry – Valves and feeders in the Paper industry

1

4

Controllers and displays in the Paper industry

1

Computer applications in the Paper

1

5

COURSE HANDOUT: S8

Reference Books


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industry 6

Typical control systems in the Paper industry.

1

7

Description of the process in the Nuclear industry

1

8

Measurement hardware in the nuclear industry

1

9

Analyzers Valves and control in the nuclear industry

1

10

Control panels and displays – Computer applications. Typical control system

1

Total hours : 10 Module 5

Sl. No.

Topic


1

Description of the process in the pharmaceutical industry

1

2

Measurement hardware in the pharmaceutical industry

2

3

Analyzers in the pharmaceutical industry Valves and feeders in the pharmaceutical industry

1

4

Controllers and displays in the pharmaceutical industry

1

5

Computer applications in the pharmaceutical industry

1

6

Typical control systems in the Pharmaceutical industry

2

Reference Books


Total hours : 8

COURSE HANDOUT: S8

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AI010 803

COMPUTER NETWORKS

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: : COMPUTER NETWORKS COURSE CODE: AI010 803 REGULATION: 2010 COURSE AREA/DOMAIN:COMPUTER SCIENCE CORRESPONDING LAB COURSE CODE (IF ANY): NIL SYLLABUS:

DEGREE: BTECH SEMESTER: 8 CREDITS: 4 COURSE TYPE: CORE CONTACT HOURS: 3+1 (Tutorial) hours/Week. LAB COURSE NAME:NA

UNIT I

DETAILS HOURS Network requirements, Network Architecture –layering and protocol, OSI 8 Architecture, Internet Architecture, Performance-bandwidth and latency , Delay x bandwidth product, high speed networks . II Direct Link Network, Hardware Building Block, Framing-Byte Oriented 9 Protocol, Bit Oriented Protocol , Clock Based Framing, Reliable Transmission-Stop and Wait, Sliding Window, Ethernet(802.3)-Physical properties, Access protocol, Wireless-Bluetooth, WiFi, Wimax III Packet Switching-Switching and Forwarding- Datagram, virtual circuit 10 switching, Source routing Bridges and LAN Switches-Learning Bridges, Spanning tree Algorithms, Broadcast and Multicast, Limitations of bridges, Simple Internetworking-Service Model, Global Address, Datagram Forwarding in IP, address translation, Routing-network as graph, distance vector, link state, matrix IV End to End Protocol, Simple de-multiplexer, Reliable Byte stream, TCP13 Issues, segment format, connection establishment and termination sliding window revisited, triggering transmission, adaptive retransmission, RPC-fundamentals ,TCP Congestion control – additive increase, slow start, fast retransmit and fast recovery, congestion avoidance mechanism, DEC bit, Random Early Detection bit, Source Based Congestion avoidance V Applications -WWW, E-mail, Name Service, Network Management, Web 5 Services Custom Application protocol, Generic Application Protocol ,Overlay Networks-Peer to Peer Networks. TOTAL HOURS 45 TEXT/REFERENCE BOOKS: T/R BOOK TITLE/AUTHORS/PUBLICATION R1 Computer Networks: Andrew S Tannenbaum, Pearson Education. R2 Computer Networking: A Top Down Approach: Kurose Pearson Education. R3 Local Area Networks: William Stallings, Pearson Education. R4 Understanding Data Communication and networks- 2nd ed-William A Shay (Vikas COURSE HANDOUT: S8

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AI010 803

COMPUTER NETWORKS

S8AEI

Thomson Learning) R5 An Engineering Approach to Computer Networking: Keshav, Pearson Education. COURSE PRE-REQUISITES: C.CODE EN 010 109

COURSE NAME Basic Electronics Engineering & Information Technology

DESCRIPTION Concepts of Networking-Network Topologies-WAN-LAN-MAN, Protocol-Internet-working concept, Internet Architecture, IP addresses, Routing, Domain Name System(Basic concepts only)

SEM S1S2

COURSE OBJECTIVES: 1

To develop basic knowledge on the mode of operation of different types of computer networks those are used to interconnect a distributed community of computers and various interfacing standards and protocols. COURSE OUTCOMES: SNO

DESCRIPTION

PO MAPPING 1 Enable students to understand the computer network layered model c, d, e, g, j, and it’s importance. Understanding the concepts of computer networks m in wired and wireless technologies and to succeed into the industry recruitments in the field of computer networks 2 Analyze the different layers in detail d, e, i, j, l, m 3 Have a basic knowledge of the use of cryptography and WAP k 4 Develop familiarity for networking and security problems, technical e, i, j, m issues, and routing 5 The student’s seminars organized from some of the topics in the a, d, i, j, m application programs and protocols to increase the presentation skills and enhance the communication skills, confidence and self learning GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO 1

DESCRIPTION Network Simulator

PROPOSED ACTIONS Tool Discussion


TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1 Routing algorithms WEB SOURCE REFERENCES: 1

http://www.isi.edu/nsnam/ns/tutorial/

COURSE HANDOUT: S8

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AI010 803

2

COMPUTER NETWORKS

S8AEI

http://nptel.iitm.ac.in




☐ LCD/SMART


☐ ADD-ON COURSES

BOARDS  ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS  ☐ STUD. LAB PRACTICES ☐ ADD-ON

☐ STUD.

☐ TESTS/MODEL

☐ UNIV.

SEMINARS

EXAMS 

EXAMINATION 

☐ STUD. VIVA

☐ MINI/MAJOR PROJECTS

☐ CERTIFICATIONS

☐ OTHERS

COURSES ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY FEEDBACK, ONCE)  ☐ ASSESSMENT OF MINI/MAJOR PROJECTS

☐ STUDENT FEEDBACK ON FACULTY (TWICE) ☐ OTHERS

BY EXT. EXPERTS

Prepared by

Approved by



(Faculty)

(HOD)

COURSE HANDOUT: S8

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AI010 803

COMPUTER NETWORKS

S8AEI


Topic


Network requirements

1

Network Architecture

1

layering and protocol

1

OSI Architecture

1

Internet Architecture

1

6

Performance-bandwidth and latency

1

7

Delay x bandwidth product

1

8

high speed networks

1

1 2 3 4 5

Reference Books

1. Computer Networks A Systems Approach-Larry L. Peterson and Bruce S. Davie,4th Edition. 2. Introduction to data communication and networking, Behrouz Forozan TMH. 3. Computer networks, Andrew S Tanenbaum, PHI

Total hours : 8 Module 2 Sl. No.

Topic


1

Direct Link Network

1

2

Hardware Building Block

1

3

Framing-Byte Oriented Protocol

1

4

Bit Oriented Protocol

1

5

Clock Based Framing

1

6

Reliable Transmission-Stop and Wait

1

7

Sliding Window

1

8

Ethernet(802.3)-Physical properties, Access protocol

1

COURSE HANDOUT: S8

Reference Books


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AI010 803

9

COMPUTER NETWORKS

S8AEI

1

Wireless-Bluetooth, WiFi, WiMAX Total hours : 9

Module 3 Sl. No.

Topic


1

Packet Switching-Switching and Forwarding

1

2

Datagram, virtual circuit switching

1

3

Source routing Bridges and LAN Switches-Learning Bridges

1

4

Spanning tree Algorithms

1

5

Broadcast and Multicast

1

6

Limitations of bridges, Simple Internetworking-Service Model

1

7

Global Address

1

8

Datagram Forwarding in IP

1

9

address translation

1

10

Routing-network as graph, distance vector, link state, matrix

1

Reference Books


Total hours : 10

Module 4 Sl. No.

Topic


1

End to End Protocol, Simple demultiplexer

2

2

Reliable Byte stream, TCP-Issues

2

3

segment format, connection COURSE HANDOUT: S8

2

Reference Books

1. Computer Networks A Systems Approach-Larry L. Peterson and Bruce S. Davie, 4th Edition. 2. Introduction to data communication and Page 28

AI010 803

COMPUTER NETWORKS

establishment and termination sliding window revisited 4

triggering transmission, adaptive retransmission

2

5

RPC-fundamentals, TCP Congestion control, additive increase

3

6

congestion avoidance mechanism, DEC bit, Random Early Detection bit, Source Based Congestion avoidance

2

S8AEI

networking, Behrouz Forozan TMH. 3. Computer networks, Andrew S Tanenbaum, PHI

Total hours : 13

Module 5 Sl. No.

Topic


1

Applications -WWW

1

2

E-mail, Name Service

1

3

Network Management, Web Services Custom Application protocol

1

4

Generic Application Protocol

1

5

Overlay Networks-Peer to Peer Networks

1

Reference Books

1. Computer Networks A Systems Approach-Larry L. Peterson and Bruce S. Davie, 4th Edition. 2. Introduction to data communication and networking, Behrouz Forozan TMH. 3. Computer networks, Andrew S Tanenbaum, PHI

Total hours : 5

COURSE HANDOUT: S8

Page 29

AI010 804 L01

NEURAL NETWORKS

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: NEURAL NETWORKS COURSE CODE: AI010 804L01 REGULATION: 2010 COURSE AREA/DOMAIN:SELF LEARNING SYSTEMS CORRESPONDING LAB COURSE CODE (IF ANY): NIL SYLLABUS:

DEGREE: BTECH SEMESTER: 8 CREDITS: 4 COURSE TYPE: ELECTIVE CONTACT HOURS: 2+2 (Tutorial) hours/Week. LAB COURSE NAME:NA

UNIT I

DETAILS HOURS Fundamentals of Neural Networks – Human Brain – Model of an artificial 9 neuron - activation functions – Typical architectures – Training and learning methods – Perceptron - Linear separability – XOR problemPerceptron convergence theorem - Adaline and Madaline Network – Applications of ANNs. II Back Propagation – The Single layer ANNs – Multi layered feed forward 9 ANNs – Back propagation network architecture and algorithm – Method of steepest descent – local and global minima - Effect of learning rate – Adding a momentum term - Applications. III Associative Memory – Auto associative memory – Storage capacity9 Hetero associative memory – Kosko’s discrete BAM –- Recurrent networks – Discrete Hopfield network stability - Adaptive resonance theory – Vector quantization – ART1 and ART2 architecture. IV Competitive Networks – Kohonen’sself organizing maps – architecture 9 and algorithm – LVQ – architecture and algorithm - Counter Propagation networks: - Full CPN – Forward only CPN. V Simulated Annealing - Boltzmann’s Machine - Applications to traveling 9 salesman problem. Simulating ANN using Matlab/Labview – Simple neuron model using hardware, Neural network hardware and VLSI implementation. TOTAL HOURS 45 TEXT/REFERENCE BOOKS: T/R BOOK TITLE/AUTHORS/PUBLICATION T1 Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications - S. Rajasekaran, G. A. VijayalakshmiPai, PHI Learning Pvt. Ltd. T2 Fundamentals of Neural Networks: Architectures, Algorithms and Applications LaureneFausett, Pearson Education Inc. T31. Neural Networks: A Classroom Approach – Satish Kumar, TMH Education Pvt. Ltd. R1 Neural Networks: A Comprehensive Foundation- Simon Haykins, Prentice Hall COURSE HANDOUT: S8

Page 30

AI010 804 L01

NEURAL NETWORKS

S8AEI

R2 Introduction to Artificial Neural Systems - J.M. Zurada, Jaico Publishing House R3 ArtificialNeuralNetworks-RobertJ.Schalkoff, McGrawHill R4 ArtificialNeuralNetworks - B.Yegnanarayana, Prentice Hall India R5 Neural Computing: Theory & Practice - Philip D. Wasserman. COURSE PRE-REQUISITES: C.CODE COURSE NAME EN 010 Engineering 101 Mathematics I COURSE OBJECTIVES:

DESCRIPTION Basic Knowledge of Vectors, Matrices and Vector Spaces

SEM S1S2

1

Students will learn the theory of Artificial Neural Networks and its applications to Engineering Problems 2 Students will learn about the various different architectures of artificial neural networks COURSE OUTCOMES: SNO

DESCRIPTION

PO MAPPING 1 Students will have knowledge about the fundamental features and a, b, e functions of ANNs 2 Students will acquire knowledge about BackPropagationNetworks and a, b, e, k its applications. 3 Students will acquire knowledge on Associative Memory Models a, b, e, k 4 Students will acquire knowledge on various types of Competitive, SOM, a, b, e, k CPN Networks. 5 Students will acquire knowledge on statistical machines, use Matlab, a, b, e, k Labview for Artificial Neuron representation. GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO 1

DESCRIPTION Matlab programs

PROPOSED ACTIONS Demos will be added


TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1 2

Matlab demonstrations of various ANN models Video demonstrations on application examples of ANNs

COURSE HANDOUT: S8

Page 31

AI010 804 L01

NEURAL NETWORKS

S8AEI

WEB SOURCE REFERENCES: 1 2 3 4

http://nptel.iitm.ac.in/video.php?subjectId=117105084 http://www-cs-faculty.stanford.edu/~eroberts/courses/soco/projects/neuralnetworks/Sources/index.html http://cns-web.bu.edu/ (Department of Cognitive and Neural Systems, BostonUniversity) http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-641j-introduction-toneural-networks-spring-2005/index.htm




☐ LCD/SMART


☐ ADD-ON COURSES

BOARDS 

ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS  ☐ STUD. LAB PRACTICES ☐ ADD-ON COURSES




PROJECTS ☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY


FEEDBACK, ONCE)  ☐ ASSESSMENT OF MINI/MAJOR PROJECTS BY EXT. EXPERTS

(TWICE) ☐ OTHERS

Prepared by

Approved by

Mr. Anish T.


(Faculty)

(HOD)

COURSE HANDOUT: S8

Page 32

AI010 804 L01

NEURAL NETWORKS

S8AEI


Topic


Reference Books

1

Fundamentals of Neural Network

1

2

Human Brain – Model of an artificial neuron - activation functions

1

3

Activation functions

1

4

Typical architectures

1

5

Training and learning methods – Perceptron

1

1. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and applications - S. Rajasekaran, G. A. Vijayalakshmi Pai, PHI Learning Pvt. Ltd. 2. Neural Networks: A Comprehensive Foundation - Simon Haykins, Prentice Hall 3. Fundamentals of Neural Networks: Architectures, Algorithms and Applications - Laurene Fausett, Pearson Education Inc.

6

1

Linear separability – XOR problem

7

Perceptron convergence theorem

1

8

Adaline and Madaline Network

1

9

1

Applications of ANNs Total hours : 9

Module 2 Sl. No.

Topic


1

Back Propagation - The Single layer ANN

2

2

Multi layered feed forward ANNs

1

3

1

4

Back propagation network architecture and algorithm Method of steepest descent

5

local and global minima

1

6 7

Effect of learning rate Adding a momentum term Applications Total hours : 9

COURSE HANDOUT: S8

1

1 2

Reference Books

1. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and applications - S. Rajasekaran, G. A. Vijayalakshmi Pai, PHI Learning Pvt. Ltd. 2. Neural Networks: A Comprehensive Foundation - Simon Haykins, Prentice Hall

Page 33

AI010 804 L01

NEURAL NETWORKS

S8AEI

Module 3

Sl. No.

Topic


1

Associative Memory – Auto associative memory

1

2

Storage capacity- Hetero associative memory

1

3

Kosko’s discrete BAM

1

4

Recurrent networks

1

5

Discrete Hopfield network stability

2

6

Adaptive resonance theory

1

7

Vector quantization – ART1 and ART2 architecture. Total hours : 9

2

Reference Books

1. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and applications - S. Rajasekaran, G. A. Vijayalakshmi Pai, PHI Learning Pvt. Ltd. 2. Fundamentals of Neural Networks: Architectures, Algorithms and Applications - Laurene Fausett, Pearson Education Inc.

Module 4

Sl. No.

Topic


Reference Books

1

Competitive Networks

1

2

Kohonen’s self organizing maps

2

3

architecture and algorithm – LVQ

2

4

Counter Propagation networks: - Full CPN

2

5

Forward only CPN.

2

1. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and applications - S. Rajasekaran, G. A. Vijayalakshmi Pai, PHI Learning Pvt. Ltd. 2. Neural Networks: A Comprehensive Foundation - Simon Haykins, Prentice Hall

Total hours :9

COURSE HANDOUT: S8

Page 34

AI010 804 L01

NEURAL NETWORKS

S8AEI

Module 5

Sl. No.

Topic


1

Simulated Annealing

1

2

Boltzmann’s Machine

1

3

Applications to travelling salesman problem.

2

4

Simulating ANN using Matlab/Labview

2

5

Simple neuron model using hardware

1

6

Neural network hardware and VLSI implementation

2

Reference Books 1. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and applications - S. Rajasekaran, G. A. Vijayalakshmi Pai, PHI Learning Pvt. Ltd. 2. Neural Networks: A Comprehensive Foundation - Simon Haykins, Prentice Hall.

Total hours : 9

COURSE HANDOUT: S8

Page 35

AI010 804 L04

ARTIFICIAL INTELLIGENCE

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: : ARTIFICIAL INTELLIGENCE COURSE CODE: AI010 804 L04 REGULATION: 2010 COURSE AREA/DOMAIN: MACHINE LEARNING CORRESPONDING LAB COURSE CODE (IF ANY): NIL SYLLABUS:

DEGREE: BTECH SEMESTER: 8 CREDITS: 4 COURSE TYPE: ELECTIVE CONTACT HOURS: 2+2 (Tutorial) hours/Week. LAB COURSE NAME:NA

UNIT I

DETAILS HOURS Introduction to AI: Intelligent agents – Perception – Natural language 9 processing Problem – Solving agents – Searching for solutions: Uniformed search strategies – Informed search strategies. II Adversarial search – Optimal and imperfect decisions – Alpha, Beta 9 pruning – Logical agents: Propositional logic – First order logic – Syntax and semantics – Using first order logic – Inference in first order logic. III Uncertainty – Acting under uncertainty – Basic probability notation – 9 Axioms of probability – Baye’s rule – Probabilistic reasoning – Making simple decisions. IV Planning: Planning problem – Partial order planning – Planning and 9 acting in non deterministic domains – Learning: Learning decision trees – Knowledge in learning –Neural networks – Reinforcement learning – Passive and active. V Definition – Features of an expert system – Organization – Characteristics 9 – Prospector. Knowledge Representation in expert systems – Expert system tools – MYCIN – EMYCIN. TOTAL HOURS 45 TEXT/REFERENCE BOOKS: T/R BOOK TITLE/AUTHORS/PUBLICATION T1 Stuart Russel and Peter Norvig, ‘Artificial Intelligence - A Modern Approach’, Second Edition, Pearson Education, 2003 / PHI. T2 Donald A. Waterman, ‘A Guide to Expert Systems’, Pearson Education. R1 George F. Luger, ‘Artificial Intelligence – Structures and Strategies for Complex Problem Solving’, Fourth Edition, Pearson Education, 2002. R2 Elain Rich and Kevin Knight, ‘Artificial Intelligence’, Second Edition Tata McGraw Hill, 1995. R3 W. Patterson, ‘Introduction to Artificial Intelligence and Expert Systems’, Prentice Hall of India, 2003.

COURSE HANDOUT: S8

Page 36

AI010 804 L04


S8AEI

COURSE PRE-REQUISITES: C.CODE COURSE NAME EN010 Engineering Mathematics III 401 COURSE OBJECTIVES:

DESCRIPTION Statistics and probability distribution

SEM S4

1 To study the idea of intelligent agents and search methods. 2 To study about representing knowledge. 3 To study the reasoning and decision making in uncertain world. 4 To construct plans and methods for generating knowledge. 5 To study the concepts of expert systems. COURSE OUTCOMES: SNO

DESCRIPTION

PO MAPPING a, b, i b, m e, h, i

1 2 3

Graduates will be able to understand the basics of Artificial intelligence Graduates will be able to apply the knowledge of AI to controller system Graduates will be able to apply the knowledge of AI to instrument data analysis 4 Graduates will be able to apply the knowledge of AI to built intelligence systems 5 Graduates will be able to apply the knowledge of AI to higher studies GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO 1 2

DESCRIPTION

h m

PROPOSED ACTIONS Extra class Extra class

Evolutionary algorithms K -means clustering algorithms


TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1 Interactive Tools for Learning Artificial Intelligence WEB SOURCE REFERENCES: 1 http://www.aihorizon.com/resources/links.htm 2 http://codesters.org/resource/topic/artificial-intelligence/ 3 www.nptel.iitm.ac.in/.../Artificial%20intelligence/New_index1.html DELIVERY/INSTRUCTIONAL METHODOLOGIES: ☐ CHALK & TALK



☐ LCD/SMART


☐ ADD-ON COURSES

BOARDS 

COURSE HANDOUT: S8

Page 37

AI010 804 L04


S8AEI

ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS  ☐ STUD. LAB PRACTICES ☐ ADD-ON COURSES




PROJECTS ☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY


FEEDBACK, ONCE)  ☐ ASSESSMENT OF MINI/MAJOR PROJECTS BY EXT. EXPERTS


Prepared by

Approved by

Mr. Krishna Kumar K. P.


(Faculty)

(HOD)

COURSE HANDOUT: S8

Page 38

AI010 804 L04


S8AEI


Topic


Reference Books

1

Introduction to AI: Intelligent agents

2

1. Stuart Russel and Peter Norvig, ‘Artificial Intelligence - A Modern Approach’, Second Edition, Pearson Education, 2003 / PHI. 2. Donald A. Waterman, ‘A Guide to Expert Systems’, Pearson Education.

2

1

Perception

3

Natural language processing

1

4

Problem Solving agents

1

5

Searching for solutions: Uniformed search strategies Total hours : 9

2

Module 2 Sl. No. 1 2

Topic


Reference Books

1

Adversarial search Optimal and imperfect decisions

1

3

Alpha, Beta pruning

1

4

Logical agents: Propositional logic

2

5

First order logic

1

6

Syntax and semantics

1

7

Using first order logic, Inference in first order logic

2


Total hours : 9

Module 3

Sl. No.

Topic


1

Uncertainty

1

2

Acting under uncertainty

1

COURSE HANDOUT: S8

Reference Books 1. Stuart Russel and Peter Norvig, ‘Artificial Intelligence - A Modern

Page 39

AI010 804 L04


3

Basic probability notation

1

4

Axioms of probability

1

5

Baye’s rule

2

6

Probabilistic reasoning

1

7

Making simple decisions

2

S8AEI

Approach’, Second Edition, Pearson Education, 2003 / PHI. 2. Donald A. Waterman, ‘A Guide to Expert Systems’, Pearson Education.

Total hours : 9

Module 4

Sl. No.

Topic


1

Planning: Planning problem

1

2

Partial order planning – Planning and acting in nondeterministic domains

2

3

Learning: Learning decision trees

2

4

Knowledge in learning –Neural networks Reinforcement learning – Passive and active Total hours :9

2

5

2

Reference Books 1. Stuart Russel and Peter Norvig, ‘Artificial Intelligence - A Modern Approach’, Second Edition, Pearson Education, 2003 / PHI. 2. Donald A. Waterman, ‘A Guide to Expert Systems’, Pearson Education.

Module 5

Sl. No.

Topic


Reference Books

1

Definition – Features of an expert system

2

2

Organization – Characteristics

2

3

Prospector – Knowledge Representation in expert systems

2

4

Expert system tools – MYCIN – EMYCIN

3


Total hours : 9

COURSE HANDOUT: S8

Page 40

AI010 805 G05

INDUSTRIAL POLLUTION CONTROL

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: : INDUSTRIAL POLLUTION CONTROL COURSE CODE: AI010 805 G05 REGULATION: 2010 COURSE AREA/DOMAIN: CORRESPONDING LAB COURSE CODE (IF ANY): NIL SYLLABUS: UNIT I

II

III

IV


CREDITS: 4

COURSE TYPE: ELECTIVE CONTACT HOURS: 2+2 (Tutorial) hours/Week. LAB COURSE NAME:NA

DETAILS HOURS Concept of ecosystem: Structure and function of an ecosystem, 10 producers, consumers and decomposers, energy flow in ecosystem, ecological succession, food chains and ecological pyramids, biodiversity and its conservation. Introductory lessons on environmental pollution: Types of pollution: soil – water – air – causes - types of emissions from chemical industries effects on environment - greenhouse gases and global warming – climate change - acid rain - ozone layer depletion - nuclear accidents and holocaust. Mathematics of Growth: Concern about future – models of population 10 growth – exponential growth – logistic growth – logistic human population curve. Natural resources: renewable and non-renewable resources - resource consumption - depletion of nonrenewable energy sources - Concept of sustainable development. Social issues and the environment: population and pollution 10 consumerism and waste products environmental ethics - social cost of pollution - ‘polluter pays principle’ and its relevance. Water pollution: Water resourcesproperties of water: density, melting point, boiling point, specific heat, dissolved oxygen; water as a solvent, the hydrogen cycle. Water pollutants: pathogens, oxygen demanding wastes, nutrients, salts, thermal pollutants, heavy metals, pesticides, volatile organic compounds. Air pollution: Overview of emissions– criteria pollutants – toxic air pollutants –motor vehicle emission – basic ideas of influence of air pollution on meteorology - comparison of air pollution in major cities. The carbon cycle: Importance of CO2 in climate change – green house effect and global energy balance. Pollution monitoring: 8 Pollution monitoring devices: paper tape sampler - bubbler systems - gas analysers. Basics of methods of measuring pollution: principle of sampling air /water/soil for pollution measurement; ambient air sampling: collection of gaseous air pollutants, collection of particulate air

COURSE HANDOUT: S8

Page 41

AI010 805 G05


S8AEI

pollutants; stack sampling: sampling system, particulate sampling, and gaseous sampling. Analysis of air pollutants: sulphur dioxide, nitrogen oxides, carbon monoxide, oxidants and ozone, hydrocarbons, particulate matter. V Principles and simple methods of pollution abatement and control: Concepts of solid waste management: source reduction – recycling – disposal. Concepts of waste water treatment methods: physical treatments – biological treatments - reuse and recycle of water and waste water. Environmental impact assessment of large scale projects. Legislation and standards for Air, Water and Soil pollution – international nature of pollution and the need for international rules and regulations air quality regulations – clean air act. TOTAL HOURS TEXT/REFERENCE BOOKS:

7

45

T/R BOOK TITLE/AUTHORS/PUBLICATION T1 R. Rajagopalan, Environmental Studies, Oxford IBH Pub. T2 Benny Joseph, Environmental Studies, McGraw Hill Pub. T3 ErachBharucha, Text Book for Environmental Studies, Pub., UGC. T4 Masters, Gilbert M. Introduction to Environmental Engineering and Sciences, PHI. COURSE PRE-REQUISITES: C.CODE COURSE NAME EN010 Engineering Mathematics III 401 EN010 Engineering Chemistry & 103 Environmental Studies COURSE OBJECTIVES:

DESCRIPTION Statistics and probability distribution Basic chemical engineering

SEM S4 S1S2

1

To generate an awareness among students about the importance of, and need for pollution control. 2 To help the students internalise concern for environment. COURSE OUTCOMES: SNO 1 2 3 4 5

PO MAPPING Students will have a general idea about ecosystem and an introduction c, j to industrial pollution control Students will learn about environment friendly engineering and the c, j need for sustainable technology, use of renewable sources of energy. Students will learn the social issues of pollution, like air, water etc, and c, h, j how they affect the society Students will learn about the pollution monitoring methods and analyze b, e the intensity of pollution. Students will learn about the built-in environment, significance of urban c, h, j planning

COURSE HANDOUT: S8

DESCRIPTION

Page 42

AI010 805 G05


S8AEI

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO

DESCRIPTION

1

Rules and regulations existing in IPC

2

Pollution control measures and harmful effects of pollutants

PROPOSED ACTIONS Web reference [1] case studies


TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1 Case studies about some major pollution effects and how they were tackled. 2 Radioactive pollution 3 Pollution indices and standards WEB SOURCE REFERENCES: 1 http://cpcb.nic.in/ 2 http://water.epa.gov/polwaste/ DELIVERY/INSTRUCTIONAL METHODOLOGIES: ☐ CHALK & TALK



☐ LCD/SMART


☐ ADD-ON COURSES

BOARDS  ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS 

☐ STUD.

☐ TESTS/MODEL

☐ UNIV.

☐ STUD. LAB

SEMINARS ☐ STUD. VIVA

EXAMS  ☐ MINI/MAJOR


PRACTICES PROJECTS ☐ ADD-ON ☐ OTHERS COURSES ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY


FEEDBACK, ONCE)  ☐ ASSESSMENT OF MINI/MAJOR PROJECTS


BY EXT. EXPERTS

Prepared by

Approved by

Mr.Balu Raveendran


(Faculty)

(HOD)

COURSE HANDOUT: S8

Page 43

AI010 805 G05


S8AEI

COURSE PLAN Module 1

Sl.No. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.

Topic Introduction Concept of ecosystem: Structure and function of an ecosystem, producers, consumers and decomposers Energy flow in ecosystem ecological succession Ecological succession Food chains and ecological pyramids Biodiversity and its conservation Environmental pollution: Types of pollution: soil – water – air – causes Greenhouse gases and global warming - climate change - acid rain Ozone layer depletion - nuclear accidents and holocaust. Energy flow in ecosystem ecological succession Total hours : 10

No. of lecture hours 1

Reference Books

1 1 1 1 1 1 1

1. R. Rajagopalan, Environmental Studies, Oxford IBH Pub. 2. Benny Joseph, Environmental Studies, McGraw Hill Pub.

1 1

Module 2 Sl. No.

Topic


1.

Concern about future – models of population growth

2

2.

Exponential growth

2

3.

Logistic growth

2

4.

Logistic human population curve

1

5.

Natural resources: renewable and nonrenewable resources - resource consumption - depletion of nonrenewable energy sources - Concept of sustainable development.

3

Reference Books

1. Erach Bharucha, Text Book for Environmental Studies, Pub, UGC

Total hours : 10

COURSE HANDOUT: S8

Page 44

AI010 805 G05


S8AEI

Module 3 Sl. No.

1.

2.

3.

4.

5.

6.

Topic


Population and pollution consumerism and waste products environmental ethics - social cost of pollution - ‘polluter pays principle’ and its relevance

1

Water pollution: Water resourcesproperties of water: density, melting point, boiling point, specific heat, dissolved oxygen; water as a solvent, the hydrogen cycle

1

Water pollutants: pathogens, oxygen demanding wastes, nutrients, salts, thermal pollutants, heavy metals, pesticides,volatile organic compounds.

2

Air pollution: Overview of emissions– criteria pollutants – toxic air pollutants –motor vehicle emission

2

Basic ideas of influence of air pollution on meteorology - comparison of air pollution in major cities

2

The carbon cycle: Importance of CO2 in climate change – green house effect and global energy balance.

2

Reference Books

1. R. Rajagopalan, Enviromental Studies, Oxford IBH Pub. 2. Benny Joseph, Environmental Studies, McGraw Hill Pub.

Total Hours: 10

Module 4 Sl. No. 1.

2.

Topic Pollution monitoring devices: paper tape sampler - bubbler systems - gas analysers Basics of methods of measuring pollution: principle of sampling air /water/soil for pollution measurement

COURSE HANDOUT: S8

No. of lecture hours 2

2

Reference Books 1. R. Rajagopalan, Enviromental Studies, Oxford IBH Pub. 2. Benny Joseph, Environmental Studies, McGraw Hill Pub.

Page 45

AI010 805 G05

3.

4.


Ambient air sampling: collection of gaseous air pollutants, collection of particulate air pollutants; stack sampling: sampling system, particulate sampling, and gaseous sampling Analysis of air pollutants: sulphur dioxide, nitrogen oxides, carbon monoxide, oxidants and ozone, hydrocarbons, particulate matter. Total Hours: 8

S8AEI

2

2

Module 5

Sl. No. 1 2

3

4 5 6 7

Topic Principles and simple methods of pollution abatement and control Concepts of solid waste management: source reduction – recycling – disposal Concepts of waste water treatment methods: physical treatments – biological treatments - reuse and recycle of water and waste water Environmental impact assessment of large scale projects Legislation and standards for Air, Water and Soil pollution International nature of pollution and the need for international rules and regulations Air quality regulations clean air act Total Hours: 7

COURSE HANDOUT: S8


Reference Books

1 1

1

1 1 1

1. Benny Joseph, Environmental Studies, McGraw Hill Pub 2. Masters, Gilbert M. Introduction to Environmental Engineering and Sciences, PHI 3. India Environmental Port, http://www.indiaenviro n-mentportal.org.in

1

Page 46

AI010 806

PROCESS CONTROL LAB

S8AEI

COURSE INFORMATION SHEET PROGRAMME: APPLIED ELECTRONICS & INSTRUMENTATION COURSE: PROCESS CONTROL LAB COURSE CODE: AI 010 806 REGULATION: 2010 COURSE AREA/DOMAIN: INSTRUMENTATION & CONTROL CORRESPONDING THEORY COURSE CODE (IF ANY): AI 010 601, AI 010 702

DEGREE: BTECH SEMESTER: 8 CREDITS: 2 COURSE TYPE: CORE CONTACT HOURS: 3 Practical Hours/Week. THEORY COURSE NAME: PROCESS CONTROL INSTRUMENTATION, COMPUTERISED PROCESS CONTROL

SYLLABUS: UNIT I

DETAILS HOURS Electronic PID controller and implementation of PID algorithm using 3 high level language

II

Performance Evaluation of Temperature process control station

3

III IV

Performance Evaluation of Pressure process control station Performance Evaluation of Flow process control station

3 3

V

Performance Evaluation of Level process control station

3

VI

Characteristics of Differential Pressure Transmitter and Rotameter

3

VII

Characteristics of control valve, with and without positioner

3

VIII

Characteristics of I/P and P/I converter

3

IX

Study of process control simulator

3

X

Study of PLC

3

XI

PLC programming and implementation

3

XII

Control of bottle filling system using PLC

3

XIII

Speed controller of a DC motor using PLC

3

XIV

Liquid level control using PLC

3

XV

Study of Distributed Control System

3

TOTAL HOURS

45

TEXT/REFERENCE BOOKS: T/R BOOK TITLE/AUTHORS/PUBLICATION R1 Bella G. Liptak , Instrument engineers handbook R2 Curtis Johnson ,Process control instrumentation COURSE PRE-REQUISITES:

COURSE HANDOUT: S8

Page 47

AI010 806

C.CODE AI 010 707

PROCESS CONTROL LAB

COURSE NAME Industrial instrumentation lab

S8AEI

DESCRIPTION To have a basic idea about measurements related with process control

SEM S7

COURSE OBJECTIVES: 1

To study the practical aspects of process control like tuning controllers, calibration etc 2 To study the identification of loop diagrams ,instrument schedules etc 3 To serve as a foundation for further study on industrial practice COURSE OUTCOMES: SNO

DESCRIPTION

1 2 3 4 5

PO MAPPING a, b h, i, e, c, f h, c, d c, d, f, g c, f, g

Graduates will be able to understand basics of process control Graduates will be able to design process control instrumentation Graduates will be able to maintain process instrumentation Graduates will be able to do industrial projects Graduates will be able to train technicians in industry and building automation 6 Graduates will be able take part in professional society and standard development activities GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: SNO

DESCRIPTION

1

Large scale processes cannot be covered in the syllabus

2 3

Standards to be introduced in large extend like ISA, IEEE etc Industrial data networks

k

PROPOSED ACTIONS Industrial visit Extra class Extra class


TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN: 1 SCADA software’s will be covered using ac31 graf and CODESYS 2 Calibrations of DP transmitters 3 Demonstration of Instrument cabling and wiring practices 4 Piping and joint design WEB SOURCE REFERENCES: 1 2 3 4

www.ni.com/labview www.mathworks.com www.ISA.org www.plantweb.com

COURSE HANDOUT: S8

Page 48

AI010 806

PROCESS CONTROL LAB

S8AEI

5 www.fieldbus .org 6 www.IEC.org 7 www.control enginnering.com DELIVERY/INSTRUCTIONAL METHODOLOGIES: ☐ CHALK & TALK

☐ STUD. ASSIGNMENT 

☐ WEB RESOURCES ☐ LCD/SMART  BOARDS 

☐ STUD. ☐ ADD-ON COURSES SEMINARS ASSESSMENT METHODOLOGIES-DIRECT ☐ ASSIGNMENTS 

☐ STUD.

☐ TESTS/MODEL

☐ UNIV.

☐ STUD. LAB

SEMINARS ☐ STUD. VIVA 

EXAMS  ☐ MINI/MAJOR


PRACTICES  ☐ ADD-ON

PROJECTS  ☐ OTHERS

COURSES ASSESSMENT METHODOLOGIES-INDIRECT ☐ ASSESSMENT OF COURSE OUTCOMES (BY


FEEDBACK, ONCE)  ☐ ASSESSMENT OF MINI/MAJOR PROJECTS

(TWICE)  ☐ OTHERS

BY EXT. EXPERTS Prepared by

Approved by

Mr. Krishna Kumar K. P.


(Faculty)

(HOD)

COURSE HANDOUT: S8

Page 49

AI010 806

PROCESS CONTROL LAB

S8AEI

COURSE PLAN

Sl. No. 1.

EXPERIMENTS Batch 1. Electronic PID controller and implementation of PID algorithm using high level language

2.

Batch 2. Performance Evaluation of Temperature process control station

3.

Batch 3. Performance Evaluation of Pressure process control station

4.

Batch 4. Performance Evaluation of Flow process control station

5.

Batch 5. Performance Evaluation of Level process control station

6.

Batch 6. Characteristics of Differential Pressure Transmitter and Rotameter

7.

Batch 7. Characteristics of control valve, with and without positioner

8.

Batch 8. Characteristics of I/P and P/I converter

9.

Batch 9. Study of PLC

10.

Batch 10. PLC programming and implementation

11.

Batch 1. Control of bottle filling system using PLC

12.

Batch 2. Speed controller of a DC motor using PLC

13.

Batch 3. Liquid level control using PLC

14.

Batch 4. Study of Distributed Control System

COURSE HANDOUT: S8

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