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Objectives To understand the advances in pervasive computing. Unit – I



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Objectives

  • To understand the advances in pervasive computing.

Unit – I Hrs 18

An Introduction to Ubiquitous Computing : Founding Contributions to Ubiquitous Computing - Ubiquitous Computing in U.S. Universities - Ubiquitous Computing in European Laboratories and Universities - Modern Directions in Ubiquitous Computing - The Research Community Embraces Ubiquitous Computing - The Future of Ubiquitous Computing


Unit – II Hrs 18

Ubiquitous Computing Systems : Ubicomp Systems Topics and Challenges - Creating Ubicomp Systems-Implementing Ubicomp Systems-Evaluating and Documenting Ubicomp Systems.


Unit – III Hrs 18

Privacy in Ubiquitous Computing : Understanding Privacy - Technical Solutions for Ubicomp Privacy - Address Privacy.  Ubiquitous Computing Field Studies : Three Common Types of Field Studies - Study Design - Participants- Data Analysis - Steps to a Successful Study


Unit – IV Hrs 18

Ethnography in Ubiquitous Computing - From Ethnography to Design - Design-Oriented Ethnography in Practice. From GUI to UUI: Interfaces for Ubiquitous Computing: Interaction Design-Classes of User Interface-Input Technologies.


Unit – V Hrs 18

Location in Ubiquitous Computing: Characterizing Location Technologies - Location Systems. Context-Aware Computing: Context-Aware Applications - Designing and Implementing Context-Aware Applications - Issues to Consider when Building Context-Aware Applications- Challenges in Writing Academic Papers on Context Awareness



Reference:

  1. Ubiquitous Computing Fundamentals - Edited by John Krumm Microsoft Corporation Redmond, Washington, U.S.A.




Semester

Subject code

Title of the course

Hours of Teaching/ Week

No. of Credits


II

14P2CSEL2C



Elective – II

DIGITAL IMAGE PROCESSING


6

4


Objectives:

  • To describe and explain basic principles of digital image processing

  • To design and implement algorithms that perform basic image processing (e.g., noise removal and image enhancement)

  • To design and implement algorithms for advanced image analysis (e.g., image compression, image segmentation & image representation)


UNIT I: Hrs 18
Introduction : Examples of fields that use digital image processing, fundamental steps in digital image processing, components of image processing system.. Digital Image Fundamentals: A simple image formation model, image sampling and quantization, basic relationships between pixels.


UNIT II: Hrs 18
Image enhancement in the spatial domain : Basic gray-level transformation, histogram processing, enhancement using arithmetic and logic operators, basic spatial filtering, smoothing and sharpening spatial filters, combining the spatial enhancement methods.


UNIT III: Hrs 18

Image restoration : A model of the image degradation/restoration process, noise models, restoration in the presence of noise–only spatial filtering, Weiner filtering, constrained least squares filtering, geometric transforms; Introduction to the Fourier transform and the frequency domain, estimating the degradation function.




UNIT IV: Hrs 18
Color Image Processing : Color fundamentals, color models, pseudo color image processing, basics of full–color image processing, color transforms, smoothing and sharpening, color segmentation.


UNIT V: Hrs 18
Image Compression : Fundamentals, image compression models, error-free compression, lossy predictive coding, image compression standards.


TEXT BOOK:

1. Digital Image Processing, Rafeal C.Gonzalez, Richard E.Woods, Second Edition,

Pearson Education/PHI.


REFERENCE BOOKS:
1. Image Processing, Analysis, and Machine Vision, Milan Sonka, Vaclav Hlavac and

Roger Boyle, Second Edition, Thomson Learning.

2. Introduction to Digital Image Processing with Matlab, Alasdair McAndrew, Thomson Course Technology

3. Computer Vision and Image Processing, Adrian Low, Second Edition,

B.S.Publications
4. Digital Image Processing using Matlab, Rafeal C.Gonzalez, Richard E.Woods,

Steven L. Eddins, Pearson Education.




Semester

Subject code

Title of the course

Hours of Teaching/ Week

No. of Credits

III

14P3CSC7



Core – COMPILER DESIGN


6

5



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