Building Digital. Repository Of Project Reports: A Proposal for cusat

The effective organization and utilisation of resources produced by the students, faculty and research scholars in university departments assume greater significance. Institutional repositories are developed by many institutions to provide resources and materials that support students in their studies. The present study recognizes the value of such a repository in the Engineering and Technology discipline in Cochin University of Science and Technology. The paper explains the need for a digital repository ofproject reports. The authors present a modelfor digital repository, and the organization.and administration of such a repository. The study also analyses the various other factors associated with the proposed depository.

Improved Biometric Authentication System Using Multimodal Cue Integration

Biometrics is an efficient technology with great possibilities in the area of security system development for official and commercial applications. The biometrics has recently become a significant part of any efficient person authentication solution. The advantage of using biometric traits is that they cannot be stolen, shared or even forgotten. The thesis addresses one of the emerging topics in Authentication System, viz., the implementation of Improved Biometric Authentication System using Multimodal Cue Integration, as the operator assisted identification turns out to be tedious, laborious and time consuming. In order to derive the best performance for the authentication system, an appropriate feature selection criteria has been evolved. It has been seen that the selection of too many features lead to the deterioration in the authentication performance and efficiency. In the work reported in this thesis, various judiciously chosen components of the biometric traits and their feature vectors are used for realizing the newly proposed Biometric Authentication System using Multimodal Cue Integration. The feature vectors so generated from the noisy biometric traits is compared with the feature vectors available in the knowledge base and the most matching pattern is identified for the purpose of user authentication. In an attempt to improve the success rate of the Feature Vector based authentication system, the proposed system has been augmented with the user dependent weighted fusion technique.