Debabrata Sengupta

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— Fast delay estimation methods, as compared to simulation techniques, are needed for incremental performance-driven layout synthesis. On-chip inductive and conductive effects are becoming predominant in deep submicron (DSM) interconnects due to increasing clock speeds; circuit complexity and interconnect lengths. Inductance causes noise in the signal(More)
In this work, we propose a control protocol for lightpath management in the optical layer of all-optical networks (AONs). AONs follow a layered structure, as used by various network standards, where each layer communicates with its peer through Protocol Data Units (PDUs). In the context of Open System Interconnection (OSI) Reference Model (RM), a new layer,(More)
Deaf and dumb people communicate among themselves using sign languages, but they find it difficult to expose themselves to the outside world. This paper proposes a method to convert the Indian Sign Language (ISL) hand gestures into appropriate text message. In this paper the hand gestures corresponding to ISL English alphabets are captured through a webcam.(More)
Design of an efficient new catalyst that can mimic the enzymatic pathway for catalytic dehydrogenation of liquid fuels like alcohols is described in this report. The catalyst is a nickel(II) complex of 2,6-bis(phenylazo)pyridine ligand (L), which possesses the above requisite with excellent catalytic efficiencies for controlled dehydrogenation of alcohols(More)
A series of nickel complexes of 2-(arylazo)pyridine have been synthesized, and the precise structure and stoichiometry of the complexes are controlled by the use of different metal precursors. Molecular and electronic structures of the isolated complexes are scrutinized thoroughly by various spectroscopic techniques, single crystal X-ray crystallography,(More)
The problem we are investigating is sign language recognition through unsupervised feature learning. Being able to recognize sign language is an interesting machine learning problem while simultaneously being extremely useful for deaf people to interact with people who don't know how to understand American Sign Language (ASL). Our approach was to first(More)
We present a novel approach to 2D and 3D human pose estimation in monocular images by building on and improving recent advances in this field. We take the full body pose as a combination of a 3D pose and a viewpoint and in this way define classes that are then learned by a classifier. Compared to part based approaches, our approach does not suffer from(More)
We propose to develop an android based application that can assist the user in solving word jumbles commonly found in newspapers and magazines. An example of a typical word jumble which might be found in a book of puzzles is shown in the figure below. Goals : We envisage that the application should be able to do the following: (1) Identify the (scrambled)(More)