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Thursday, January 30, 2014

MF7204 MICRO ELECTRO MECHANICAL SYSTEMS AND NANO TECHNOLOGY

MF7204 MICRO ELECTRO MECHANICAL SYSTEMS AND NANO
TECHNOLOGY 

UNIT I OVER VIEW OF MEMS AND MICROSYSTEMS

Definition – historical development – properties, design and fabrication micro-system, microelectronics, working principle ,applications and advantages of micro system. Substrates and wafers, silicon as substrate material, mechanical properties of Si, Silicon Compounds - silicon piezo resistors, Galium arsenide, quartz, polymers for MEMS, conductive polymers.

UNIT II FABRICATION PROCESSES AND MICRO SYSTEM PACKAGING

Photolithography, photo resist applications, light sources, ion implantation, diffusion–Oxidation - thermal oxidation, silicon dioxide, chemical vapour deposition, sputtering - deposition by epitaxy – etching – bulk and surface machining – LIGA process – LASER, Electron beam ,Ion beam processes – Mask less lithography. Micro system packaging –packaging design– levels of micro system packaging -die level, device level and system level – interfaces in packaging – packaging technologies- Assembly of Microsystems

UNIT III MICRO DEVICES

Sensors – classification – signal conversion ideal characterization of sensors micro actuators, mechanical sensors – measurands - displacement sensors, pressure sensor, flow sensors, Accelerometer , chemical and bio sensor - sensitivity, reliability and response of micro-sensor - micro actuators – applications.

UNIT IV SCIENCE AND SYNTHESIS OF NANO MATERIALS

Classification of nano structures – Effects of nano scale dimensions on various properties – structural, thermal, chemical, magnetic, optical and electronic properties fluid dynamics –Effect of nano scale dimensions on mechanical properties - vibration, bending, fracture Nanoparticles, Sol-Gel Synthesis, Inert Gas Condensation, High energy Ball Milling, Plasma Synthesis, Electro deposition and other techniques. Synthesis of Carbon nanotubes – Solid carbon source based production techniques – Gaseous carbon source based production techniques – Diamond like carbon coating. Top down and bottom up processes.

UNIT V CHARACTERIZATION OF NANO MATERIALS

Nano-processing systems – Nano measuring systems – characterization – analytical imaging techniques – microscopy techniques, electron microscopy scanning electron microscopy, confocal LASER scanning microscopy - transmission electron microscopy, transmission electron microscopy, scanning tunneling microscopy, atomic force microscopy, diffraction techniques – spectroscopy techniques – Raman spectroscopy, 3D surface analysis – Mechanical, Magnetic and thermal properties – Nano positioning systems.

REFERENCES:
1. Sami Franssila, Introduction to Micro fabrication, John Wiley & sons Ltd, 2004. ISBN:470-85106-6
2. Norio Taniguchi, Nano Technology, Oxford University Press, New York, 2003
3. Charles P Poole, Frank J Owens, Introduction to Nano technology, John Wiley and Sons, 2003
4. Tai – Ran Hsu, MEMS and Microsystems Design and Manufacture, Tata-McGraw Hill, New Delhi, 2002.
5. Mark Madou , Fundamentals of Microfabrication, CRC Press, New York, 1997.
6. Mohamed Gad-el-Hak, MEMS Handbook, CRC press, 2006, ISBN : 8493-9138-5
7. Waqar Ahmed and Mark J. Jackson, Emerging Nanotechnologies for Manufacturing, Elsevier
Inc.,2013,ISBN : 978-93-82291-39-8
8. Julian W. Hardner Micro Sensors, Principles and Applications, CRC Press 1993.

Introduction to Microfabrication: Digital Ebook

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MF7203 THEORY OF METAL FORMING

MF7203 THEORY OF METAL FORMING

UNIT I THEORY OF PLASTICITY
Theory of plastic deformation – Yield criteria – Tresca and Von-mises – Distortion energy – Stressstrain relation – Mohr’s circle representation of a state of stress – cylindrical and spherical co-ordinate system – upper and lower bound solution methods – Overview of FEM applications in Metal Forming analysis.

UNIT II THEORY AND PRACTICE OF BULK FORMING PROCESSES

Analysis of plastic deformation in Forging, Rolling, Extrusion, rod/wire drawing and tube drawing – Effect of friction – calculation of forces, work done – Process parameters, equipment used – Defects – applications – Recent advances in Forging, Rolling, Extrusion and Drawing processes – Design consideration in forming.

UNIT III SHEET METAL FORMING

Formability studies – Conventional processes – H E R F techniques – Superplastic forming techniques – Hydro forming – Stretch forming – Water hammer forming – Principles and process parameters – Advantage, Limitations and application 

UNIT IV POWDER METALLURGY AND SPECIAL FORMING PROCESSES 9
Overview of P/M technique – Advantages – applications – Powder preform forging – powder rolling –
Tooling, process parameters and applications. - Orbital forging – Isothermal forging – Hot and cold
isostatic pressing – High speed extrusion – Rubber pad forming – Fine blanking – LASER beam
forming
UNIT V SURFACE TREATMENT AND METAL FORMING APPLICATIONS

Experiment techniques of evaluation of friction in metal forming selection – influence of temperature and gliding velocity – Friction heat generation – Friction between metallic layers – Lubrication carrier layer – Surface treatment for drawing, sheet metal forming, Extrusion, hot and cold forging. Processing of thin Al tapes – Cladding of Al alloys – Duplex and triplex steel rolling – Thermo mechanical regimes of Ti and Al alloys during deformation – Formability of welded blank sheet – Laser structured steel sheet - Formability of laminated sheet.

REFERENCES:

1. Helmi A Youssef, Hassan A. El-Hofy, Manufacturing Technology: Materials, Processes and Equipment, CRC publication press, 2012.
2. SAE Transactions, Journal of Materials and Manufacturing Section 5, 1993-2007
3. Surender kumar, Technology of Metal Forming Processes, Prentice Hall India Publishers,2010
4. Marciniak,Z., Duncan J.L., Hu S.J., ‘Mechanics of Sheet Metal Forming’, Butterworth-Heinemann An Imprint of Elesevier, 2006
5. Nagpal G.R., Metal Forming Processes- Khanna publishers, 2005.
6. Altan T., Metal forming – Fundamentals and applications – American Society of Metals, Metals park, 2003
7. ASM Hand book, Forming and Forging, Ninth edition, Vol – 14, 2003
8. SHIRO KOBAYASHI, SOO-IK-oh-ALTAN, T,Metal forming and Finite Element Method, Oxford University Press, 2001.
9. Proc. Of National Seminar on “Advances in Metal Forming” MIT, March 2000
10. Dieter G.E., Mechanical Metallurgy (Revised Edition II) McGraw Hill Co., 1988
11. ALTAN.T, SOO-IK-oh, GEGEL, HL – Metal forming, fundamentals and Applications, American Society of Metals, Metals Park, Ohio, 1995.

Buy Machining Technology: Machine Tools and Operations


MF7202 MANUFACTURING METROLOGY AND QUALITY ENGINEERING

MF7202 MANUFACTURING METROLOGY AND QUALITY ENGINEERING

UNIT I LASER METROLOGY AND PRECISION INSTRUMENTS

Introduction – types of lasers – laser in engineering metrology – metrological laser methods for applications in machine systems – Interferometry applications – speckle interferometry – laser interferometers in manufacturing and machine tool alignment testing – laser Doppler technique – laser Doppler anemometry - Laser telemetric systems – detection of microscopic imperfections on high quality surface Pitter NPL gauge interferometer – classification of optical scanning systems – high inertia laser scan technique – rotating mirror technique vibrational deflectors – magnetic vibrational deflector – iteration and scan enhancement 0 reflective, refractive and diffractive scanners. – laser gauging – bar coding – laser dimensional measurement system.

UNIT II CO-ORDINATE MEASURING SYSTEM

Co-ordinate metrology – CMM configurations – hardware components – software – Probe sensors – Displacement devices – performance evaluations – software – hardware – dynamic errors – thermal effects diagram – temperature variations environment control – applications – Roll of CMM in reverse engineering.

UNIT III QUALITY IN MANUFACTURING AND DESIGN ENGINEERING

Importance of manufacturing planning for quality – initial planning and concept of quality – self controls – defining quality responsibilities on the factory flow – automated manufacturing – overall view of manufacturing planning – process quality audits – Opportunities for improvement in product design – early warning concepts and design assurance – design for basic functional requirements – design for reliability – availability – designing for manufacturability and safety – cost of quality – design review concurrent engineering – improving the effectiveness of product development.

UNIT IV QUALITY MANAGEMENT SYSTEM AND CONTINUOUS IMPROVEMENT

Need for quality management system – design of quality management system – quality management system requirements – ISO 9001 and other management system and models – basic quality engineering tools statistical process control – techniques for process design and improvement – Taguchi methods for process improvement – six sigma.


REFERENCES:

1. Oakland J.S. Total Quality Management – Text with cases, Butter worth – Heinemann – An imprint of Elseiver, First Indian Print, New Delhi 2005.
2. Elanchezhian.C, Vijaya Ramnath.B and Sunder Selwyn, T., Engineering Metrology, Eswar Press, Chennai, 2004.
3. Zuech, Nello Understanding and Applying Machine Vision, Marcel Dekker, Inc, 2000
4. John A. Bosch, Giddings and Lewis Dayton, Co-ordinate Measuring Machines and Systems, Marcel Dekker, Inc, 1999.
Juran J.M. and Gyna F.M., Quality Planning and Analysis, Tata-McGraw Hill, New Delhi, 1995.

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MF7201 OPTIMIZATION TECHNIQUES IN MANUFACTURING

MF7201 OPTIMIZATION TECHNIQUES IN MANUFACTURING

UNIT I INTRODUCTION

Optimization – Historical Development – Engineering applications of optimization – Statement of an Optimization problem – classification of optimization problems.

UNIT II CLASSIC OPTIMIZATION TECHNIQUES

Linear programming - Graphical method – simplex method – dual simplex method – revised simplex method – duality in LP – Parametric Linear programming – Goal Programming.

UNIT III NON-LINEAR PROGRAMMING

Introduction – Lagrangeon Method – Kuhn-Tucker conditions – Quadratic programming – Separable programming – Stochastic programming – Geometric programming

UNIT IV INTEGER PROGRAMMING AND DYNAMIC PROGRAMMING AND
NETWORK TECHNIQUES

Integer programming - Cutting plane algorithm, Branch and bound technique, Zero-one implicit enumeration – Dynamic Programming – Formulation, Various applications using Dynamic Programming. Network Techniques – Shortest Path Model – Minimum Spanning Tree Problem – Maximal flow problem.

UNIT V ADVANCES IN SIMULATION

Genetic algorithms – simulated annealing – Neural Network and Fuzzy systems

REFERENCES:

1. R. Panneerselvam, “Operations Research”, Prentice Hall of India Private Limited, New Delhi 1 – 2005
2. J.K.Sharma, Operations Research – Theory and Applications – Macmillan India Ltd., 1997
3. Hamdy A. Taha, Operations Research – An Introduction, Prentice Hall of India, 1997
4. P.K. Guptha and Man-Mohan, Problems in Operations Research – Sultan chand & Sons, 1994
5. Ravindran, Philips and Solberg, Operations Research Principles and Practice, John Wiley & Sons, Singapore, 1992

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Tuesday, December 10, 2013

CS9269 SOFTWARE PROJECT MANAGEMENT Question Paper

M.E./M.Tech. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2012
Elective
Computer Science and Engineering
CS 9269/241088/8241088/CS 969-SOFTWARE PROJECT MANAGEMENT
(Common to M.Tech Information Technology)
Regulation 2009

Time: Three hours                                                                            Maximum:100 marks

Answer ALL the Questions
PART A-(10 × 2 = 20 marks)
1. List out all software models
2. Define Umbrella activities in project.
3. In what way software standards differ from other product standards.
4. What are ISO Series of Standards?
5. How to identify Risk?
6. How to measure software?
7. How to monitor project?
8. What is project Initiation?
9. How to gather requirement?
10. What is Deployment?

PART B-(5 × 16 = 80 marks)
11. (a) For engineering counseling system, which model would you choose? Explain the model with neat diagram and justify why you have chosen this model? (16)
Or
(b) In what way Spiral model is advantages over the RAD model. Explain with neat diagram. (16)

12. (a) Bring out the importance of CMM model and their relevance to project management. (16)
Or
(b) Distinguished between CMM and People CMM. (16)

13. (a) (i) When to initial Quality process in project? Explain. (8)
(ii) Discuss about software Quality Assurance in project. (8)
Or
(b) What is Configuration Management? Bring out the importance of Configuration management. (16)

14. (a)(i) Distinguish between Milestone and Deliverable. (8)
(ii) How milestones help in Tracking the project. (8)
Or
(b) Bring out the importance of project database.

15. (a) What are the different phases in project development? Explain design phase with its decomposition for ATM system. (16)
Or
(b) In what way geographical Distribution issues affect project development in real time situations. (16)

Friday, October 18, 2013

CP7103 MULTICORE ARCHITECTURES

CP7103 MULTICORE ARCHITECTURES 

UNIT I FUNDAMENTALS OF QUANTITATIVE DESIGN AND ANALYSIS 9
Classes of Computers – Trends in Technology, Power, Energy and Cost – Dependability – Measuring, Reporting and Summarizing Performance – Quantitative Principles of Computer Design – Classes of Parallelism - ILP, DLP, TLP and RLP - Multithreading - SMT and CMP Architectures – Limitations of Single Core Processors - The Multicore era – Case Studies of Multicore Architectures.

UNIT II DLP IN VECTOR, SIMD AND GPU ARCHITECTURES 9
Vector Architecture - SIMD Instruction Set Extensions for Multimedia – Graphics Processing Units - Detecting and Enhancing Loop Level Parallelism - Case Studies. 

UNIT III TLP AND MULTIPROCESSORS 9
Symmetric and Distributed Shared Memory Architectures – Cache Coherence Issues - Performance Issues – Synchronization Issues – Models of Memory Consistency - Interconnection Networks – Buses, Crossbar and Multi-stage Interconnection Networks.

UNIT IV RLP AND DLP IN WAREHOUSE-SCALE ARCHITECTURES 9
Programming Models and Workloads for Warehouse-Scale Computers – Architectures for Warehouse-Scale Computing – Physical Infrastructure and Costs – Cloud Computing – Case Studies.


UNIT V ARCHITECTURES FOR EMBEDDED SYSTEMS 9 Features and Requirements of Embedded Systems – Signal Processing and Embedded Applications – The Digital Signal Processor – Embedded Multiprocessors - Case Studies.

REFERENCES: 

1. John L. Hennessey and David A. Patterson, “ Computer Architecture – A Quantitative
Approach”, Morgan Kaufmann / Elsevier, 5th edition, 2012.
2. Kai Hwang, “Advanced Computer Architecture”, Tata McGraw-Hill Education, 2003
3. Richard Y. Kain, “Advanced Computer Architecture a Systems Design Approach”,
Prentice Hall, 2011.
4. David E. Culler, Jaswinder Pal Singh, “Parallel Computing Architecture : A Hardware/

Software Approach” , Morgan Kaufmann / Elsevier, 1997.


Buy Computer Architecture : A Quantitative Approach 5th Edition: Book

Buy Advanced Computer Architecture : Parallelism, Scalability, Programmability 2 Edition: Book


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Buy Parallel Computer Architecture : A Hardware/Software Approach 1 Edition: Book

CP7102 ADVANCED DATA STRUCTURES AND ALGORITHMS

CP7102 ADVANCED DATA STRUCTURES AND ALGORITHMS L T P C

UNIT I ITERATIVE AND RECURSIVE ALGORITHMS 9 Iterative Algorithms: Measures of Progress and Loop Invariants-Paradigm Shift: Sequence of Actions versus Sequence of Assertions- Steps to Develop an Iterative Algorithm-Different Types of Iterative Algorithms--Typical Errors-Recursion-Forward versus Backward- Towers of Hanoi-Checklist for Recursive Algorithms-The Stack Frame-Proving Correctness with Strong Induction- Examples of Recursive Algorithms-Sorting and Selecting Algorithms- Operations on Integers- Ackermann’s Function- Recursion on Trees-Tree Traversals- Examples- Generalizing the Problem - Heap Sort and Priority Queues-Representing Expressions.

UNIT II OPTIMISATION ALGORITHMS 9
Optimization Problems-Graph Search Algorithms-Generic Search-Breadth-First Search- Dijkstra’s Shortest-Weighted-Path -Depth-First Search-Recursive Depth-First Search-Linear Ordering of a Partial Order- Network Flows and Linear Programming-Hill Climbing-Primal Dual Hill Climbing- Steepest Ascent Hill Climbing-Linear Programming-Recursive Backtracking-Developing Recursive Backtracking Algorithm- Pruning Branches-Satisfiability 

UNIT III DYNAMIC PROGRAMMING ALGORITHMS 9
Developing a Dynamic Programming Algorithm-Subtle Points- Question for the Little Bird- Subinstances and Subsolutions-Set of Substances-Decreasing Time and Space-Number of Solutions-Code. Reductions and NP-Completeness-Satisfiability-Proving NP-Completeness- 3-Coloring- Bipartite Matching. Randomized Algorithms-Randomness to Hide Worst Cases- Optimization Problems with a Random Structure.

UNIT IV SHARED OBJECTS AND CONCURRENT OBJECTS 9
Shared Objects and Synchronization -Properties of Mutual Exclusion-The Mora l- The Producer–Consumer Problem -The Readers–Writers Problem-Realities of Parallelization- Parallel Programming- Principles- Mutual Exclusion-Time- Critical Sections--Thread Solutions-The Filter Lock-Fairness-Lamport’s Bakery Algorithm-Bounded Timestamps-Lower Bounds on the Number of Locations-Concurrent Objects- Concurrency and Correctness- Sequential Objects-Quiescent Consistency- Sequential Consistency-Linearizability- Formal Definitions- Progress Conditions- The Java Memory Model

UNIT V CONCURRENT DATA STRUCTURES 9
Practice-Linked Lists-The Role of Locking-List-Based Sets-Concurrent Reasoning- Coarse- Grained Synchronization-Fine-Grained Synchronization-Optimistic Synchronization- Lazy Synchronization-Non-Blocking Synchronization-Concurrent Queues and the ABA Problem- Queues-A Bounded Partial Queue-An Unbounded Total Queue-An Unbounded Lock-Free Queue-Memory Reclamation and the ABA Problem- Dual Data Structures- Concurrent Stacks and Elimination- An Unbounded Lock-Free Stack- Elimination-The Elimination Backoff Stack

TOTAL : 45 PERIODS

REFERENCES:
1. Jeff Edmonds, “How to Think about Algorithms”, Cambridge University Press, 2008.
2. M. Herlihy and N. Shavit, “The Art of Multiprocessor Programming”, Morgan Kaufmann,
2008.
3. Steven S. Skiena, “The Algorithm Design Manual”, Springer, 2008.
4. Peter Brass, “Advanced Data Structures”, Cambridge University Press, 2008.
5. S. Dasgupta, C. H. Papadimitriou, and U. V. Vazirani, “Algorithms” , McGrawHill, 2008.
6. J. Kleinberg and E. Tardos, "Algorithm Design“, Pearson Education, 2006.
7. T. H. Cormen, C. E. Leiserson, R. L. Rivest and C. Stein, “Introduction to Algorithms“,
PHI Learning Private Limited, 2012.
8. Rajeev Motwani and Prabhakar Raghavan, “Randomized Algorithms”, Cambridge

University Press, 1995.

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