Audio Talvar
Vida Hubbert
A well-crafted audio-visual appeal in favour of Rajesh and Nupur Talwar, who are serving life term for the murder of their 14-year-old daughter Aarushi and servant Hemraj, Talvar is more of a crime docu-drama than a piece of fiction. From the title, which is a word play on the surnames of the dentist couple, to the material, writer Vishal Bhardwaj and director Meghna Gulzar stick close to the details of 2008 Noida twin-murder case that shook the society in more ways than one. The difference is only as much replacing the B of CBI with a D. Talwars become Tandons and Arushi and Hemraj become Shruti and Khempal.
A deep conviction that Rajesh and Nupur Talwar have been wronged by the Indian justice system has led Vishal Bhardwaj to write his most sharply focused and coherent screenplay yet. Talvar, directed by Meghna Gulzar, has but one purpose: it is an audio-visual petition to the authorities to reconsider the sentencing of the dentist couple serving life terms after being convicted of murdering their 14-year-old daughter Aarushi and domestic worker Hemraj in 2008.
Present commercially available prosthetic devices fall short when it comes to providing users with accurate and non-invasive tactile feedback from their artificial limb, leading to more difficult control and leaving many at a heightened risk of device rejection. Current methods of simulating hand sensation in patients affected by upper limb loss are either invasive and expensive, or otherwise sub-optimal in their feedback mechanism. Here we propose, build, and implement a novel device for tactile feedback in upper limb prostheses. The device consists of an adaptable tactile sensing glove that can be applied to existing artificial limbs and an audio feedback system that leverages the plasticity of the brain to communicate touch to the user through sensory substitution. This device aims to take advantage of the existing pathways between auditory and tactile sensory regions in the brain by mapping force magnitude and location from the integrated force sensors on the gloves to specific volume and frequency, respectively. The device was successfully manufactured for proof of concept, and further testing with prosthetic users will aim to assess the efficacy of the device and identify potential modifications for use in research and commercialization.
In this paper we discuss the problem of blind estimating multiple digital co-channel communication signals using an antenna array. A new approach is proposed to the problem, which is to find all the independent edges of X base on analysis of the projections of X onto coordinates. Through the simulation results of separating two blind audio signals, we can find out that blind signals could be separated with the algorithm quickly and rightly.