Gallery — Recent

B.tech Resume Of Ali Taqvi

As LED systems have been evolving today in a great number of niche applications including automotive lighting, water purification, and skin imaging etc., extensive studies of scientists and engineers in the field have been constantly looking for ways to reduce generated heat loads and maximize the light output to reach the highest efficiency ratios. While the current systems developed over the last years achieved to reach even a 40% LED light efficiency, a higher portion of the electrical input energy of LEDs is still produced as heat and it hinders their development potential. In addition, the compact size of the LED systems poses some challenges to the reliable characterization of their performance at low uncertainties. Especially, the performance considerations associated with thermal loads over a limited size of LED chips require the effective characterization of these systems for various operational conditions. One of the techniques used for this purpose is that an LED package is characterized by a decrease in forward voltage with increasing junction temperature. As LEDs are operated at higher junction temperatures, the amount and quality of the light deteriorates significantly, and the less efficient use of the LEDs results in additional operating costs and reduced lifetime of LEDs. In fact, accurate identification of thermal behavior of LED packages is one of the essential tasks towards improving the design of LED systems. If thermal characterization of LEDs is accurately done, performance parameters of LED packages are more reliably optimized to yield the highest possible performance ratios. Thus, this study focused on the design and manufacturing of a thermally improved and fully operational rapid temperature controllable chamber in which calibration and test phases of junction temperature measurements are sensitively conducted under a low uncertainty.

Downloaded from https://www.sbgames.org/sbgames2017/downloads/template-latex-sbgames2017.zip

A non-rigorous proof of the Lorentz factor and transformation in Special relativity using inertial frames of reference.

Plantilla para el TFG de la Escuela Superior de Informática de Ciudad Real

Beamer template for Leiden University, with support for various faculties through different highlight-colors.

This is the working template for the NeuroData Lab @ Johns Hopkins University

For scholarship application

Simple Academic Resume. github repo here. See also the two other version of it.