Experimental demonstration of femtosecond switching of a fully packaged all-optical switch

We experimentally demonstrate femtosecond switching of a fully packaged hybrid-integrated Mach-Zehnder switch. A record switching window of 620fs at fult-width-half-maximum is achieved. © 2004 Optical Society of America.

Study of high performance Re-timing using a 40 Gb/s hybrid-integrated mach-zehnder all-optical regenerator

We experimentally show that a hybrid-integrated Mach-Zehnder switch with a high performance gate profile allows retiming of optical signals with an accuracy of 500-700fs even if the input timing jitter is increased to 3ps. © 2004 Optical Society of America.

Enhanced performance of an all-optical parity checker using a single Mach-Zehnder interferometer

An all-optical parity checker is proposed that requires only a single Mach-Zehnder interferometer. Simulation results demonstrate an 8dB improvement in extinction ratio at 10 Gb/s operation. © 1999 Optical Society of America.

Hybridisation platform demonstrating all optical wavelength conversion at 10 and 20Gbit/s

The development of a high performance hybrid integration platform is demonstrated using an all optical wavelength converter based on an integrated SOA MZI. The device structure, transfer functions, power penalties and regenerative properties are presented. © 2004 Optical Society of America.

Design, construction and evaluation of systems to predict risk in obstetrics.

We present a systematic, practical approach to developing risk prediction systems, suitable for use with large databases of medical information. An important part of this approach is a novel feature selection algorithm which uses the area under the receiver operating characteristic (ROC) curve to measure the expected discriminative power of different sets of predictor variables. We describe this algorithm and use it to select variables to predict risk of a specific adverse pregnancy outcome: failure to progress in labour. Neural network, logistic regression and hierarchical Bayesian risk prediction models are constructed, all of which achieve close to the limit of performance attainable on this prediction task. We show that better prediction performance requires more discriminative clinical information rather than improved modelling techniques. It is also shown that better diagnostic criteria in clinical records would greatly assist the development of systems to predict risk in pregnancy.