M.Tech Course Projects :
| Course | CS 674 : Machine Learning and Knowledge Discovery |
| Instructor | Dr. Pabitra Mitra , Assistant Professor, Dept of Computer Science and Engineering. |
| Title | Rough Sets for Pattern Recognition and Data Mining |
| Description | We propose some applications of Rough Sets in Pattern Recognition and Data Mining field. Rough Sets have the inherent capability of dealing with missing values and fits well into the problem of predicting class label with missing attribute values. Objects in a gray-scale image can be represented by their lower approximation and upper approximation for managing uncertainty. Rough Set based clustering is a promising direction since it is more natural than partition based clustering approaches. They can be also applied in some bio-medical applications like protein docking . |
| Report | Due to some technical reasons this report is not kept on the web. |
| Course | CS 654 : Software Architecture |
| Instructor | Dr. T. V. Prabhakar , Professor, Dept of Computer Science and Engineering. |
| Title | P2P File-Sharing Solution |
| Description | In this term paper a P2P File-Sharing solution architecture is proposed and the various architectural decisions taken in order to arrive at that architecture are clearly explained. The use of tactics to achieve the various quality attributes is emphasized. |
| Report | [ power-point slides ] |
| Course | CS 728 : Topics in Grid Computing |
| Instructor | Prof. S. K. Aggarwal and Prof. R. K. Ghosh, Dept of Computer Science and Engineering. |
| Title | Virtual Web Data Integration on GRID |
| Description | In this work, we have come up with a meta-search engine based virtual information integration system to integrate information given a domain / a specified topic. The proposed system with deep web crawling using GRID computation resources, aims at giving the requesting client a detailed view of seamless information. The basic idea is to leave the data where they are and integrate virtually on-the-fly. This ensures that the data is fresh and approach is scalable. |
| Report | [ Full-Text PDF ] [ power-point slides ] |
| Course | CHM 696 : Quantum Computing |
| Instructor | Dr. Debabrata Goswami, Associate Professor, Dept of Chemistry. |
| Title | Quantum Cryptography |
| Description | Quantum cryptography could well be the first application of quantum mechanics at the individual quanta level. The very fast progress in this area and its effect on both classical cryptography and public key cryptosystems is explained in detail with emphasis on open questions and technological issues. The quantum analogs of the classical concepts like digital signatures, authentication of messages, key distribution are covered. Uncloneable encryption based on the no cloning theorem is also dealt in detail. |
| Report | [ Full-Text PDF ] |
| Course | CS 634 : Mobile Computing |
| Instructor | Prof. Sajal K. Das, University of Texas at Arlington and Prof. R. K. Ghosh, Dept of Computer Science and Engineering. |
| Title | Location Management with Quality of Service ( QoS ) and Admission Control |
| Description | In most of the previous works the two most important problems in mobile cellular networks namely QoS and location management are dealt separately, but it would be efficient if they are solved collaboratively. We propose an approach to track the mobile efficiently by using both in-session and out-session mobility information by reducing the total number of updates. The idea of Location Aided Routing ( LAR ) technique of Ad-hoc networks is being used to propose a new connection admission control algorithm for QoS provisioning by creating expected zone and secure zone to provide QoS by reserving required bandwidth in the cells that come under expected zone by anticipating future needs. |
| Report | [ Full-Text PDF ] |
B.Tech course projects :
| Course | B.Tech Project |
| Supervisor | Prof. M. N. Seetaramanath, Dept of Computer Science, Andhra University College of Engineering |
| Title | Rough Sets as a Framework for Data Mining |
| Abstract | The Rough Set Methodology, developed by Zdzislaw Pawlak, deals with classification to discover structural relationships within imprecise, uncertain or incomplete data. The traditional rough set model involves extensive computation of equivalence classes to obtain the core, reduct and decision rules, which limits its scalability and suitability in data mining applications. The rough set model implemented in the project aims to improve this inefficiency. It borrows the main ideas of rough sets theory and redefines them based on very efficient set-oriented relational algebraic database operations such as Cardinality, Projection etc. In this work we aim to construct a tool, which calculates the decision rules. The tool also includes the phases of pre-processing where in the data sets are converted to a form possible for mining. The tool is tested on UCI Machine Learning benchmark data sets and the results are verified against a customized distributed share-ware, ODBCMine that implements decision trees using the C4.5 algorithm. |
| Duration | Aug 2003 - Apr 2004 |
| Title | Tester : A Testing tool for automatic testing of C Programs ( Microsoft Research Labs, Redmond funded research project ) |
| Supervisor | Prof. M. N. Seetaramanath, Dept of Computer Science, Andhra University College of Engineering |
| Description | In this work, we developed a testing tool for automatic testing of C programs using the compiler writing tools namely LEX and YACC. |
| Duration | Aug 2003 - Mar 2004 |
| Title | An Interpreter for subset of C language |
| Supervisor | Prof. M. N. Seetaramanath, Dept of Computer Science, Andhra University College of Engineering |
| Description | This project was done as part of the compiler design course to get a taste of writing compilers and interpreters using the tools LEX and YACC. |
| Duration | Jan 2003 - May 2003 |
| Course | Software Engineering |
| Instructor | Prof. K. V. S. V. N. Raju, Dept of Computer Science, Andhra University College of Engineering |
| Title | ePariksh@ - A Online examination software |
| Description | This project was done by strictly following the software engineering principles by taking requirements from the client, doing requirement analysis, preparing SRS document, Designing, Coding, Testing and Deployment of the software at the site. |
| Duration | Aug 2003 - Dec 2003 |
| Course | Software Engineering |
| Instructor | Prof. K. V. S. V. N. Raju, Dept of Computer Science, Andhra University College of Engineering |
| Title | Data Flow Diagram ( DFD ) Editor |
| Description | This project is an emulation of Xfig for drawing Data Flow and Entity Relationship diagrams, done as part of the software engineering course using Object-Oriented principles from scratch by implementing the computer graphics algorithms for various shapes like line, circle, ellipse, rhombus etc in C++. |
| Duration | Aug 2003 - Dec 2003 |