Electrostatically tunable optomechanical "zipper" cavity laser

A tunable nanoscale "zipper" laser cavity, formed from two doubly clamped photonic crystal nanobeams, is demonstrated. Pulsed, room temperature, optically pumped lasing action at a wavelength of 1.3 micron is observed for cavities formed in a thin membrane containing InAsP/GaInAsP quantum-wells. Metal electrodes are deposited on the ends of the nanobeams to allow for micro-electro-mechanical actuation. Electrostatic tuning and modulation of the laser wavelength is demonstrated at a rate of 0.25nm/V^2 and a frequency as high as 6.7MHz, respectively.Comment: 4 pages, 4 figure

A proposal for highly tunable optical parametric oscillation in silicon micro-resonators

We propose a novel scheme for continuous-wave pumped optical parametric oscillation (OPO) inside silicon micro-resonators. The proposed scheme not only requires a relative low lasing threshold, but also exhibits extremely broad tunability extending from the telecom band to mid infrared

Proof-of-principle of surface detection with air-guided quantum cascade lasers

We report a proof-of-principle of surface detection with air-guided quantum cascade lasers. Laser ridges were designed to exhibit an evanescent electromagnetic field on their top surface that can interact with material or liquids deposited on the device. We employ photoresist and common solvents to provide a demonstration of the sensor setup. We observed spectral as well as threshold currents changes as a function of the deposited material absorption curve. A simple model, supplemented by 2D numerical finite element method simulations, allows one to explain and correctly predict the experimental results

Effective Task Migration to Reduce Execution Time in Mobile Cloud Computing

With the advancements of mobile technologies, different compute-intensive tasks are emerging rapidly. However, due to resource constraints, these tasks are facing challenges to execute on mobile devices. As a solution to this problem, cloud migration has been introduced to execute a task on the cloud and then to return the results to the user mobile device. In this paper, a cloud migration decision making algorithm for compute-intensive tasks has been proposed to determine the feasibility of execution on a cloud server instead of a mobile device. Furthermore, the performances between mobile and cloud executions have been investigated which shows that the task completion time can be minimised by 6-8 times when a cloud server is utilise