Social Security of Labour in the New Indian Economy

Globalisation has many facets and its impact on labour is one of the most significant aspects.Though its influence is worldwide,it is much more significant in a transforming economy like India.The right of workers to social security is seen recognised under the Constitution of India and other welfare legislations.But,after adoption of the new economic policy of liberalisation and privatisation by the Government of India,the labour is exposed to new set of challenges.They are posed mainly due to economic restructuring affected in employment relationship,coupled with the increase in unprotected informal labour force.This study is an attempt to analyse the new challenges stemming up in employment relation,efficacy of the existing measures for social security of labour in the present economic condition and the suggestions for securing workers'right to social security in the trade regime.

A Prototype for a Multimodal Biometric Security system based on Face and Audio Signatures

Any automatically measurable, robust and distinctive physical characteristic or personal trait that can be used to identify an individual or verify the claimed identity of an individual, referred to as biometrics, has gained significant interest in the wake of heightened concerns about security and rapid advancements in networking, communication and mobility. Multimodal biometrics is expected to be ultra-secure and reliable, due to the presence of multiple and independent—verification clues. In this study, a multimodal biometric system utilising audio and facial signatures has been implemented and error analysis has been carried out. A total of one thousand face images and 250 sound tracks of 50 users are used for training the proposed system. To account for the attempts of the unregistered signatures data of 25 new users are tested. The short term spectral features were extracted from the sound data and Vector Quantization was done using K-means algorithm. Face images are identified based on Eigen face approach using Principal Component Analysis. The success rate of multimodal system using speech and face is higher when compared to individual unimodal recognition systems