EI7204 Total Quality Management TQM EI 7th (Fifth) sem Electronics and Instrumentation(EI) Syllabus

EI7204 Total Quality Management TQM  Syllabus

RGTU/RGPV Total Quality Management TQM

Electronics and Instrumentation EI VII-7th Semester Syllabus

EI7204 Total Quality Management TQM  Course Contents:

Unit-I Quality Concepts And Management
Evolution of quality control, Quality journey : Inspection to TQM, Quality of design, conformance, performance, functions, Global scenario, concept of Quality costs.

Unit-II Standardization and Quality Assurance
Quality assurance: Concept, need; ISO 9000 systems, ISO 14000; Quality audit, documentation.

Unit-III Statistical Quality Control
Basic statistical concepts, Probability distribution-Binomial, Poisson and Normal, control chars for variables and attributes, CUSUM charts, Multivariate charts, Process capability, Tolerances and selective assembly, Acceptance sampling.

Unit-IV Diagnosis and Prevention of Defects
Defect study, Identification and analysis of defects, Corrective measure, Factors affecting reliability, MTBF, MTTR, Calculation of reliability, Building reliability in the product, Evaluation of reliability, Interpretation of test results, Reliability control, Maintainability, FMEA, Guarantee, Warrantee and claims.

Unit-V Quality Awards
Break through in quality management, Quality gurus: Deming, Crosby, Ishikawa, Juran etc., Seven quality tools, Quality circle, Kaizen, Concepts of poka yoke, 5 S campaign, Six sigma, Qquality function deployment, Benchmarking, National quality award model; Malcom Balbridge, National Quality Awards , Quality in service sector, Administration etc., Case Studies.

References:

• Lt. Gen. H. Lal, “Total Quality Management”, Wiley Eastern Limited.
• Greg Bounds, : Beyond Total Quality Management”, McGraw Hill.
• Besterfield, Total Quality Management, Pearson Education, Asia.
• w.e.f Academic session 2010 Page 18 of 32
• Menon, H.G., “TQM in New Product Manufacturing”, McGraw Hill.
• Mitra, Total Quality Control, Pearson Publication.
• Quality assurance and TQM by K.C. Jain and A.K. Chitale.

EI7203 Bio Medical digital Signal Processing EI 7th (Seventh) sem Electronics and Instrumentation(EI) Syllabus

EI7203 Bio Medical digital Signal Processing Syllabus

RGTU/RGPV  Bio Medical digital Signal Processing Syllabus

Electronics and Instrumentation EI VII-7th Semester Syllabus

EI7203 Bio Medical digital Signal Processing Course Contents:

 Unit-I
Introduction: Origin of Bio electric signals and their characteristics. Noise coupling, powerline and other interfering sources, Artifacts, Analysis of concurrent, coupled and correlated processes.

Unit-II
Filtering techniques for removal of noise, artifacts and interferences. Design of Time domain and frequency domain filter. Optimal and Adaptive filtering techniques.

Unit-III
Detection of events in Bioelectric signals like ECG, EEG, PCG, etc. Detection of waves, correlation &
coherence analysis, Few case studies.

Unit-IV
Wave shape & envelope extraction analysis. Processing of event related potentials. DSP techniques for
Bio medical signals.

Unit-V
Frequency domain characterization, The Fourier spectrum, Estimation of the power spectral density function, Measures derived from PSD’s. The short time Fourier transform and wavelet basics with application to Bio signals.

Reference:
1. Reddy- Biomedical Signal Processing: Principles and Techniques 1st ed., TMH

EI7202 Environmental Instrumentation EI 7th (Seventh) sem Electronics and Instrumentation(EI) Syllabus

EI7202 Environmental Instrumentation Syllabus

RGTU/RGPV  Environmental Instrumentation Syllabus

Electronics and Instrumentation EI VII-7th Semester Syllabus

EI7202 Environmental Instrumentation Course Contents:

 Unit-I
Characterization of waste and sources of pollution. Effects of pollution-ecological balance, Quality Standards and legislation.

Unit-II
Air pollution: Emission intensity and dispersion measurement and analysis techniques Photometric, Gas chromatography, and Mass Spectroscopic analysis. Dust Collectors, Colorimetry and radioactivity detectors. Trace element detectors, Continuous pollution monitoring. Control of Air Pollution and control instrumentation.

Unit-III
Water Pollution: Effluents and their characterization, Concentration and Separation methods of measurement and analysis. Waste treatment by Biological, Physical and Chemical (Aeration, Sedimentation, Flotation Coagulation, Ion-exchange, Aerobic and Anaerobic digestion) process control and Instrumentation. Colorimetry and Spectroscopic remote sensing techniques and  instrumentation.

Unit-IV
Land Pollution: Instrumentation in sludge handling radioactive waste disposal and safety instrumentation. Soil Characteristic and fertility conservation. Instrumentation for Noise and Thermal Pollution monitoring.

Unit-V
Control Instrumentation of Specific Industrial pollution in Steels, Paper, Cement, Power and Petrochemical Plants.

References:
Bond. R.G., C.P. Straub, Handbook of Environmental Control, Volume II.
Jones Instrumentations series.

EI7201 Artificial Intelligence & Expert Systems EI 7th (Fifth) sem Electronics and Instrumentation(EI) Syllabus

EI7201 Artificial Intelligence & Expert Systems Syllabus

RGTU/RGPV  Artificial Intelligence & Expert Systems Syllabus

Electronics and Instrumentation EI VII-7th Semester Syllabus

EI7201 Artificial Intelligence & Expert Systems Course Contents:

Unit-I
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.

Unit-II
Knowledge Representation: Predicate logic, Resolution question Answering, Nonmonotonic Reasoning, statistical and probabilistic reasoning, Semantic Nets, Conceptual Dependency, frames and scripts.

Unit-III
AI languages: Important characteristics of AI languages - PROLOG, LISP.

Unit -IV
Introduction to Expert Systems: Structure of an Expert system interaction with an expert, Design of an
Expert system.

Unit-V
Fundamentals of Artificial Neural Network (ANN), perceptrons, Back propagation, Cohenon  self organizing network, Hop field networks

References:

• Rich E and Knight K, Artificial Intelligence, TMH New Delhi.
• Nelsson N.J., Principles of Artificial Intelligence, Springer Verlag, Berlin.
• Barr A, Fergenbaub E.A. and Cohen PR. Artificial Intelligence, Addison Wesley, Reading
• Waterman D.A., A guide to Expertsystem, Adision - Wesley, Reading
• Artificial Intelligence Hand book, Vol. 1-2, ISA, Research Triangle Park.
• Kos Ko B, Neural Networks and Fuzzy system –PHI.
• Haykin S, Artificial Neural Networks-Comprehensive Foundation, Asea, Pearson.

EI7104 Advanced Digital Signal Processing DSP EI 7th (Seventh) sem Electronics and Instrumentation(EI) Syllabus

EI7104 Advanced Digital Signal Processing Syllabus

RGTU/RGPV  Advanced Digital Signal Processing Syllabus

Electronics and Instrumentation EI VII-7th Semester Syllabus

EI7104 Advanced Digital Signal Processing Course Contents:

1. Fundamentals of multirate systems, decimation, interpolation, aliasing, imaging, single stage and multistage implementation, polyphase representation, anti-alias and anti-image filters.
2. Filterbanks: Introduction, analysis and synthesis filter abnks, two-channel QMF, M-channel filterbanks, Tree structured filterbanks, polyphase representation.
3. Cosine modulated filter banks, near perfect and perfect reconstruction, pseudo QMF bank, polyphase structure.
4. Design of cosine modulated filterbanks, paraunitary filterbanks.
5. Quantization effects: Types of quantization effects, standard techniques, noise in filterbanks, coding gain, sub-band coding.

References:

• Multirate systems and filterbanks, P.P. Vaidyanathan, Preason Edu.
• Digital signal processing: A computer based approach, S.K. Mitra, TMH.
• Multirate digital signal processing, N.J. Fliege., John Wiley.
• Multirate Digital Signal Processing, Crochiere and Rabiner., PHI.