Basic Architectural features, DSP Computational Building Blocks, Bus Architecture and Memory, Data Addressing Capabilities, Address Generation Unit, Programmability and Program Execution, Speed Issues, Features for External interfacing.
Hardware looping, Interrupts, Stacks, Relative Branch support, Pipelining and Performance, Pipeline Depth, Interlocking, Branching effects, Interrupt effects, Pipeline Programming models.
Commercial Digital signal-processing Devices, Data Addressing modes of TMS320C54XX DSPs, Data Addressing modes of TMS320C54XX Processors, Memory space of TMS320C54XX Processors, Program Control, TMS320C54XX instructions and Programming, On-Chip Peripherals, Interrupts of TMS320C54XX processors, Pipeline Operation of TMS320C54XX Processors.
The Q-notation, FIR Filters, IIR Filters, Interpolation Filters, Decimation Filters.
An FFT Algorithm for DFT Computation, A Butterfly Computation, Overflow and scaling, Bit- Reversed index generation, An 8-Point FFT implementation on the TMS320C54XX.
Digital Signal Processing – Avtar Singh and S. Srinivasan, Thomson Publications, 2004.
DSP Processor Fundamentals, Architectures & Features – Lapsley et al. S. Chand & Co, 2000.
Digital Signal Processors, Architecture, Programming and Applications – B. Venkata Ramani and M. Bhaskar, TMH, 2004.
Digital Signal Processing – Jonathan Stein, John Wiley, 2005.
General Introduction to Properties of Nuclear Systems and Radiation, Interaction of radiation with matter, Radioactive sources-Choice of isotopes.
Radiation detectors-Ionization chambers, Geiger-Muller counters, Scintillation counters, Semiconductor devices, Neutron detectors based on recoil, Measuring circuits including modulators, converters and stabilizers, Synchronous detectors.
Counting Statistics, Correlation sets, Standard deviation of rate meters, Error propagation, Effect of background, Statistical distribution of pulse height distribution, Detector efficiency.
Diffusion, moderation, absorption and delay processes, Neutron flux measurement, Control rod calibration, Nuclear fuel inspection and testing including poisoning, Radiation energy measurement, Remote control instrumentation, Nuclear instrument maintenance.
Radioactive Tracer technique, Gas and Liquid flow measurement, Leak detection, Residence time and its distribution, application to blending corrosion and wear studies
Thickness and density measurement by beta rays, Gammaray absorption technique, measurement of thickness of surface material by back scattering.
Level detection by radioactive devices, interface detection by neutron moderation technique.Measurement of gas pressure and gas analysers, Speceros-copic and frequency methods.Void detection, a idity meter, moisture meter, smoke detection, Ozonizer, Radiochromatography and interferometry.
Portable instruments, Source activity for dynamic properties of instruments.
Hazards of ionization radiation, physiological effect of radiation, Dose and Risk, Radiological protection (Plpha, beta and Gamma, X, Neutron), Shielding material and effectiveness.
Operational safety instruments, emergency schemes, effluent disposal, Application to medical diagnosis and treatment.
Ed. Noltingk, B.E., "Instrumentation Reference Book, Butterworth Heinemenn.
Boltan W., Newness, "Instrumentation and Measurement., Newness.
Jones, "Instrumentation Series",
Evolution of instrumentation and control, Role of automation in industries, Benefits of automation, Introduction to automation tools PLC, DCS, SCADA, Hybrid DCS/PLC, Automation strategy evolution, Control system audit, performance criteria, Safety systems.
PLC programming methods as per IEC 61131, PLC applications for batch process using SFC, Analog Control using PLC, PLC interface to SCADA/DCS using communication links (RS232, RS485) and protocols (Modbus ASCII/RTU)
HART Protocol introduction, frame structure, programming, implementation examples, Benefits, Advantages and Limitations. Foundation Fieldbus H1 introduction, structure, programming, FDS configuration, implementation examples, Benefits, Advantages and Limitations. Comparison with other fieldbus standards including Device net, Profibus, Controlnet, CAN, Industrial Ethernet etc.
DCS introduction, functions, advantages and limitations, DCS as an automation tool to support Enterprise Resources Planning, DCS Architecture of different makes, Latest trends and developments.DCS detail engineering, specifications, configuration and programming, functions including database management, reporting, alarm management, communication, third party interface control, display etc. Enhanced function viz. Advance process Control, Batch application, Historical Data Management, OPC support, Security and Access Control etc. Performance Criteria for DCS and other automation tools.
Application development and automation for following Industries- Power, Water and Waste water Treatment, Food and Beverages, Cement, Pharmaceuticals, Automobile and Building Automation.
Distributed Computer Control for Industrial Automation, Poppovik Bhatkar, Dekkar Publications.
Programmable logic controllers: Principles and Applications, Webb and Reis, PHI.
Computer Aided Process Control, S.K. Singh, PHI
Introduction to Programmable Logic Controllers, Garry Dunning, Thomson Learning
The Management of Control System; Justification and Technical Auditing, N.E. Battikha , ISA
Computer Based Process Control, Krishna kant, PHI
Robotic Technology (Vol. I-V) Phillipe Collet Prentice Hall
An Introduction to Robot Technology Coiffet and Chirooza Kogan Page
Robotics for Engineers Y. Koren McGraw Hill
Robotics K.S. Fu, R.C. Gonzalez & CSG Lee McGraw Hill International
Robotics J.J. Craig Addison-Wesley
Industrial Robots Groover, Mitchell Weiss, Nagel Octrey McGraw Hill
Robots & Manufacturing Automation Asfahl Wiley Eastern
Introduction: Motivation, Fuzzy Systems, Fuzzy control from an industrial perspective, Uncertainty and Imprecision, Uncertainty in information, Chance Versus Ambiguity, The mathematics of fuzzy control.
Classical sets and fuzzy sets: Vagueness, Fuzzy set theory versus Probability theory, Operation and properties of classical and fuzzy sets.
Classical relations and fuzzy relations: Cartesian Product, Crisp relations, Fuzzy relations, Operations on fuzzy relations, Various types of binary fuzzy relations, Fuzzy relation equations, The extension principle and its applications, Tolerance and equivalence relations, Crisp equivalence relation, Crisp tolerance relation, Fuzzy tolerance and equivalence relation, Value assignments.
Fuzzy logic and Approximate reasoning: Introduction, Linguistic variables, Fuzzy logic: Truth- values and truth tables in fuzzy logic, Fuzzy propositions. Approximate reasoning: Categorical, qualitative, syllogistic, dispositional reasoning, fuzzy If - then statements, Inference rules, The compositional rule of inference, representing a set of rule, Properties of a set of rule.
Fuzzy knowledge based controllers (FKBC) design parameters: Introduction, Structure of a FKBC, Fuzzification and defuzzification module, Rule base, Choice of variable and contents of rules, derivation of rules, data base, choice of membership function and scaling factors, choice of fuzzification and defuzzification procedure, various methods.
D. Drainkov, H. Hellendoorn and M. Reinfrank, An Introduction to Fuzzy Control, Narosa Publishing House, 1993.
T. J. Ross, Fuzzy Logic with Engineering Applications, McGraw Hill, Inc 1995.
H. J. Zimmermann, Fuzzy set theory and its applications, second edition, Allied Publishers limited, New Delhi, 1996.
T. Terano, K. Asai and M. Sugeno, Fuzzy systems theory and its application, Academic Press, 1992. COURSES OF STUDY (Syllabus) M. Tech. (Instrumentation) for the batch registering in 2012-13
G. J. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall of India, New Delhi, 1997.
Biological neurons and artificial neurons, Model of an ANN, Activation functions used in ANNs, Typical classes of network architectures, Error-correction learning, Mem ory-based learning, Hebbian learning, Competitive learning.
Structure and learning of perceptrons, Pattern classifier - introduction and Bayes' Classifiers, Perceptron as a pattern classifier, Perceptron convergence, Limitations of a perceptrons.
Structures of Multi-layer feedforward networks, Back propagation algorithm, Back propagation - training and convergence, Functional approximation with back propagation, Practical and design issues of back propagation learning.
Pattern separability and interpolation, Regularization Theory, Regularization and RBF networks, RBF network design and training, Approximation properties of RBF.
Linear separability and optimal hyperplane, Determination of optimal hyperplane. Optimal hyperplane for nonseparable patterns, Design of an SVM.
General clustering procedures, Learning Vector Quantization (LVQ), Competitive learning algorithms and architectures, Self organizing feature maps, Properties of feature maps.
Simon Haykin, "Neural Networks: A comprehensive foundation", Second Edition, Pearson Education Asia.
Satish Kumar, "Neural Networks: A classroom approach", Tata McGraw Hill, 2004.
Robert J. Schalkoff, "Artificial Neural Networks", McGraw-Hill International Editions, 1997
Neural Networks & Fuzzy Logic by Bart Kosko
Basic Architectural features, DSP Computational Building Blocks, Bus Architecture and Memory, Data Addressing Capabilities, Address Generation Unit, Programmability and Program Execution, Speed Issues, Features for External interfacing.
Hardware looping, Interrupts, Stacks, Relative Branch support, Pipelining and Performance, Pipeline Depth, Interlocking, Branching effects, Interrupt effects, Pipeline Programming models.
Commercial Digital signal-processing Devices, Data Addressing modes of TMS320C54XX DSPs, Data Addressing modes of TMS320C54XX Processors, Memory space of TMS320C54XX Processors, Program Control, TMS320C54XX instructions and Programming, On-Chip Peripherals, Interrupts of TMS320C54XX processors, Pipeline Operation of TMS320C54XX Processors.
The Q-notation, FIR Filters, IIR Filters, Interpolation Filters, Decimation Filters.
An FFT Algorithm for DFT Computation, A Butterfly Computation, Overflow and scaling, Bit- Reversed index generation, An 8-Point FFT implementation on the TMS320C54XX.
Digital Signal Processing – Avtar Singh and S. Srinivasan, Thomson Publications, 2004.
DSP Processor Fundamentals, Architectures & Features – Lapsley et al. S. Chand & Co, 2000.
Digital Signal Processors, Architecture, Programming and Applications – B. Venkata Ramani and M. Bhaskar, TMH, 2004.
Digital Signal Processing – Jonathan Stein, John Wiley, 2005.
General Introduction to Properties of Nuclear Systems and Radiation, Interaction of radiation with matter, Radioactive sources-Choice of isotopes.
Radiation detectors-Ionization chambers, Geiger-Muller counters, Scintillation counters, Semiconductor devices, Neutron detectors based on recoil, Measuring circuits including modulators, converters and stabilizers, Synchronous detectors.
Counting Statistics, Correlation sets, Standard deviation of rate meters, Error propagation, Effect of background, Statistical distribution of pulse height distribution, Detector efficiency.
Diffusion, moderation, absorption and delay processes, Neutron flux measurement, Control rod calibration, Nuclear fuel inspection and testing including poisoning, Radiation energy measurement, Remote control instrumentation, Nuclear instrument maintenance.
Radioactive Tracer technique, Gas and Liquid flow measurement, Leak detection, Residence time and its distribution, application to blending corrosion and wear studies
Thickness and density measurement by beta rays, Gammaray absorption technique, measurement of thickness of surface material by back scattering.
Level detection by radioactive devices, interface detection by neutron moderation technique.Measurement of gas pressure and gas analysers, Speceros-copic and frequency methods.Void detection, a idity meter, moisture meter, smoke detection, Ozonizer, Radiochromatography and interferometry.
Portable instruments, Source activity for dynamic properties of instruments.
Hazards of ionization radiation, physiological effect of radiation, Dose and Risk, Radiological protection (Plpha, beta and Gamma, X, Neutron), Shielding material and effectiveness.
Operational safety instruments, emergency schemes, effluent disposal, Application to medical diagnosis and treatment.
Ed. Noltingk, B.E., "Instrumentation Reference Book, Butterworth Heinemenn.
Boltan W., Newness, "Instrumentation and Measurement., Newness.
Jones, "Instrumentation Series",
Evolution of instrumentation and control, Role of automation in industries, Benefits of automation, Introduction to automation tools PLC, DCS, SCADA, Hybrid DCS/PLC, Automation strategy evolution, Control system audit, performance criteria, Safety systems.
PLC programming methods as per IEC 61131, PLC applications for batch process using SFC, Analog Control using PLC, PLC interface to SCADA/DCS using communication links (RS232, RS485) and protocols (Modbus ASCII/RTU)
HART Protocol introduction, frame structure, programming, implementation examples, Benefits, Advantages and Limitations. Foundation Fieldbus H1 introduction, structure, programming, FDS configuration, implementation examples, Benefits, Advantages and Limitations. Comparison with other fieldbus standards including Device net, Profibus, Controlnet, CAN, Industrial Ethernet etc.
DCS introduction, functions, advantages and limitations, DCS as an automation tool to support Enterprise Resources Planning, DCS Architecture of different makes, Latest trends and developments.DCS detail engineering, specifications, configuration and programming, functions including database management, reporting, alarm management, communication, third party interface control, display etc. Enhanced function viz. Advance process Control, Batch application, Historical Data Management, OPC support, Security and Access Control etc. Performance Criteria for DCS and other automation tools.
Application development and automation for following Industries- Power, Water and Waste water Treatment, Food and Beverages, Cement, Pharmaceuticals, Automobile and Building Automation.
Distributed Computer Control for Industrial Automation, Poppovik Bhatkar, Dekkar Publications.
Programmable logic controllers: Principles and Applications, Webb and Reis, PHI.
Computer Aided Process Control, S.K. Singh, PHI
Introduction to Programmable Logic Controllers, Garry Dunning, Thomson Learning
The Management of Control System; Justification and Technical Auditing, N.E. Battikha , ISA
Computer Based Process Control, Krishna kant, PHI
Robotic Technology (Vol. I-V) Phillipe Collet Prentice Hall
An Introduction to Robot Technology Coiffet and Chirooza Kogan Page
Robotics for Engineers Y. Koren McGraw Hill
Robotics K.S. Fu, R.C. Gonzalez & CSG Lee McGraw Hill International
Robotics J.J. Craig Addison-Wesley
Industrial Robots Groover, Mitchell Weiss, Nagel Octrey McGraw Hill
Robots & Manufacturing Automation Asfahl Wiley Eastern
Introduction: Motivation, Fuzzy Systems, Fuzzy control from an industrial perspective, Uncertainty and Imprecision, Uncertainty in information, Chance Versus Ambiguity, The mathematics of fuzzy control.
Classical sets and fuzzy sets: Vagueness, Fuzzy set theory versus Probability theory, Operation and properties of classical and fuzzy sets.
Classical relations and fuzzy relations: Cartesian Product, Crisp relations, Fuzzy relations, Operations on fuzzy relations, Various types of binary fuzzy relations, Fuzzy relation equations, The extension principle and its applications, Tolerance and equivalence relations, Crisp equivalence relation, Crisp tolerance relation, Fuzzy tolerance and equivalence relation, Value assignments.
Fuzzy logic and Approximate reasoning: Introduction, Linguistic variables, Fuzzy logic: Truth- values and truth tables in fuzzy logic, Fuzzy propositions. Approximate reasoning: Categorical, qualitative, syllogistic, dispositional reasoning, fuzzy If - then statements, Inference rules, The compositional rule of inference, representing a set of rule, Properties of a set of rule.
Fuzzy knowledge based controllers (FKBC) design parameters: Introduction, Structure of a FKBC, Fuzzification and defuzzification module, Rule base, Choice of variable and contents of rules, derivation of rules, data base, choice of membership function and scaling factors, choice of fuzzification and defuzzification procedure, various methods.
D. Drainkov, H. Hellendoorn and M. Reinfrank, An Introduction to Fuzzy Control, Narosa Publishing House, 1993.
T. J. Ross, Fuzzy Logic with Engineering Applications, McGraw Hill, Inc 1995.
H. J. Zimmermann, Fuzzy set theory and its applications, second edition, Allied Publishers limited, New Delhi, 1996.
T. Terano, K. Asai and M. Sugeno, Fuzzy systems theory and its application, Academic Press, 1992. COURSES OF STUDY (Syllabus) M. Tech. (Instrumentation) for the batch registering in 2012-13
G. J. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall of India, New Delhi, 1997.
Biological neurons and artificial neurons, Model of an ANN, Activation functions used in ANNs, Typical classes of network architectures, Error-correction learning, Mem ory-based learning, Hebbian learning, Competitive learning.
Structure and learning of perceptrons, Pattern classifier - introduction and Bayes' Classifiers, Perceptron as a pattern classifier, Perceptron convergence, Limitations of a perceptrons.
Structures of Multi-layer feedforward networks, Back propagation algorithm, Back propagation - training and convergence, Functional approximation with back propagation, Practical and design issues of back propagation learning.
Pattern separability and interpolation, Regularization Theory, Regularization and RBF networks, RBF network design and training, Approximation properties of RBF.
Linear separability and optimal hyperplane, Determination of optimal hyperplane. Optimal hyperplane for nonseparable patterns, Design of an SVM.
General clustering procedures, Learning Vector Quantization (LVQ), Competitive learning algorithms and architectures, Self organizing feature maps, Properties of feature maps.
Simon Haykin, "Neural Networks: A comprehensive foundation", Second Edition, Pearson Education Asia.
Satish Kumar, "Neural Networks: A classroom approach", Tata McGraw Hill, 2004.
Robert J. Schalkoff, "Artificial Neural Networks", McGraw-Hill International Editions, 1997
Neural Networks & Fuzzy Logic by Bart Kosko