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Industrial Management report
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Industrial Management report




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Industrial Management

Introduction to Industrial management, Brief history of industries in India, Brief definition of management,organization and administration. Characteristics of management, Principle of management, Function ofmanagement like, planning, organization, direction, co-ordination etc.
Level of management, skills of management, inter relation between skills and levels of management,scientific management, Introduction to Schools of Management thoughts, introduction to organization, studyof basic type of organization for ex. Line and staff organization, project organization, metrics organization,Informal organization, Introduction to industrial Psychology, Motivation theory and study of Maxlow, Need,Hierarchy Theory, Planned Location, Planned Layout. Study of different forms of layout like line layout,process layout, product layout, combinational layout, sixth position layout etc

Objective of planned layout, introduction to material management, scope of material management, study ofinventory control method, introduction to different types of inventory control techniques, introduction towork study, motion study etc, introduction to conflict management.

Text Book and References:

1. Khanna O.P. : Industrial Engineering
2. T.R. Banga : Industrial Engineering and Management
3. Mahajan : Industrial and Process Managemen

Course Name: Digital Communication


Unit – I


Elements of Digital communication and information theory : Model of a digital communication system ;logarithmic measure of information, entropy and information rate, conditional entropy and redundancy,source coding fixed and variable length code words, Source coding theorem, prefix doing and craftinequality, Shannon – fano and Huffman coding for 1st , 2nd and 3rd order extensions, maximum entropy of acontinuous source(with Gaussian distribution ) entropy of a band limited white Gauusian noise, Mutualinformation and channel capacity of a discrete memory less channel, of a BSC, Hartley Shannon law.

Unit – I

Elements of Digital communication and information theory : Model of a digital communication system ;logarithmic measure of information, entropy and information rate, conditional entropy and redundancy,source coding fixed and variable length code words, Source coding theorem, prefix doing and craftinequality, Shannon – fano and Huffman coding for 1st , 2nd and 3rd order extensions, maximum entropy of acontinuous source(with Gaussian distribution ) entropy of a band limited white Gauusian noise, Mutualinformation and channel capacity of a discrete memory less channel, of a BSC, Hartley Shannon law.


Unit –II

Waveform coding techniques :Discretization in time and amplitude. Linear quantizer, quantization noisepower calculation, signal to quantization noise ratio, non – uniform quantizer, A law & μ law companding;encoding and pulse code modulation, bandwidth of PCM, Differential pulse code modulation, Deltamodulation, Idling noise and slope overload, Adaptive delta modulation, adaptive DPCM. Comparison ofPCM and DM, MPEG audio coding standard.
Digital multiplexing :Fundamentals of time division multiplexing, electronic commutator, bit, byte
interleaving E1 Carrier system, Synchronization and signaling of E1, TDM, PCM hierarchy.

Unit – III

Digital Baseband transmission :line coding and its properties. NRZ & RZ types, signaling format forUnipolar, polar, bipolar, AMI & Manchester coding and their power spectra (No derivation), HDB andB&W signaling, ISI, Nyquist criterion for zero ISI & raised cosine spectrum. Matched filter receiver,derivation of its , impulse response and peak pulse signal to noise, correlation detector decision thresholdand error probability for binary Unipolar (on – off), signaling.

Unit – IV

Digital modulation techniques: Types of digital modulation, wave forms for amplitude, frequency andphase shift keying. Method of generation and detection of coherent & non – coherent binary ASK, FSK &PSK, differential phase shift keying, Quadrature modulation techniques (QPSK and MSK) probability

oferror and comparison of various digital modulation techniques.

Unit – V

Error control coding: Error free communication over a noisy channel, Hamming sphere, hamming
distance and hamming bound, relation between minimum distance and error detecting and correcting
capability, linear block codes, encoding & syndrome decoding ; cyclic codes, encoders and decoders forsystematic cycle codes ; convolutional codes, code tree & Trellis diagram, Viterbi and sequential decoding,burst error correction, comparison of performance.

Textbooks:


1. P. Lathi/Modern Analog 86 Digital Communication/ Oxford Univ Press.
2. Simon Haykin /Digital Communication /John Wiley.
3. Simon Haykin/Communication Systems.John Wiley Qv Edn.
References Books:
1. Taub& Schilling / “Principles of Communication Systems” / Tata McGraw-Hill /
2. Singh, R.P. &Sapre, S.D. / “Communication Systems: Analog& Digital” / Tata McGraw-Hill.
3. A.B. Carlson / “Communication Systems” / Tata McGraw-Hill.
4. Prokis J.J / “Digital Communications” / McGraw Hill /
5. Schaum’s Outlines / “Analog& Digital Communication” / Tata McGraw-Hill.
6. Kennedy, George & Davis, Bernard / “Electronic communication systems” / Tata McGraw-Hill



Unit-I


Introduction

Limitations of analog signal processing, Advantage digital signal processing, discrete timecharacterization of signals & systems some elementary discrete time sequences andsystems, concepts of stability, causality, linearity time invariance and memory, linear timeinvariant systems, and their properties, linear constant coefficient difference equations.
Frequency domain representation of discrete time signal and systems complexexponentials as eigan function of LTI systems, Fourier transform of sequences.

Unit-II

Processing of continuous time signals
Discrete time processing of continuous time signals and vice – versa; decimation &interpolation ; changing the sampling rate by integer and non integer factors using discretetime processing .
Discrete fourier transform
DFT and its properties ; linear, periodic and circular convolution , linear filtering methodsbased on DFT, filtering of long data sequences; fast Fourier transform algorithm usingusing decimation in time and decimation in frequency techniques ; linear filteringapproaches to computation of DFT.

Unit-III

Transform analysis of LTI systems
Frequency response of LTI systems, system function for system characterized by linearconstant coefficient difference equations. Relationship between magnitude and phase ; allpass systems, minimum phase systems.
Structure for discrete time systems
Signal flow graph representation, transposed forms, lattice structures.

Unit-IV

Design of digital filters

Linear phase FIR filters; FIR differentiator and Hilbert transforms , FIR filter design byimpulse invariance, bilinear transformation ; Matched Z – transformation ; frequencytransformation in the analog and digital domain

List of Experiments:

1. Sampling & Waveform Generation.
2. Plot the different sequences using MATLAB tools:-
(i) Unit step sequence (ii) Unit Impulse Sequence (iii) Unit Ramp Sequence
3. Quantization
4. Circular convolution of sequences.
5. Periodic convolution of sequences.
6. DFT Computation.
7. Fast Fourier Transform Implementation.
8. FIR Filter implementation.
9. IIR Filter implementation.
10. Computational Experiments with Digital Filters
 


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