A simulation technique based on Finite-Difference TimeDomain (FDTD) is used to analyze mutual coupling effects in reflectarray environment. The neighbouring element method has the ability to analyze actual non-identical reflectarray unit-cell accurately compared to the traditional Floquet simulation which assumes all unitcell is identical. It is also found that the nearest neighbouring unit-cel...

This paper proposes a two-step solution for generating natural prosody in TTS, in which no prosody prediction and modification are needed. A large phonetically and prosodically enriched speech corpus has been collected as the unit pool for the synthesizer. A multi-tier non-uniform unit selection scheme is developed to pick up the most suitable segments for concatenation from the unit pool. Fina...

INTRODUCTION Mortality prediction scores are widely used in intensive care units (ICUs) and in research, but their predictive value deteriorates as scores age. Existing mortality prediction scores are imprecise and complex, which increases the risk of missing data and decreases the applicability bedside in daily clinical practice. We propose the development and validation of a new, simple and u...

Accurate prediction on energy consumption in machining is helpful to evaluate process energy characteristics and choose process methods for energy saving. Specific energy consumption expresses the required energy consumption when cutting unit volume material. The Back Propagation (BP) neural network prediction method for specific energy consumption in machining is set up in the paper. The predi...

We present new developments of the evolutionary algorithm USPEX for crystal structure prediction and its adaptation to cluster structure prediction. We show how to generate randomly symmetric structures, and how to introduce ‘smart’ variation operators, learning about preferable local environments. These and other developments substantially improve the efficiency of the algorithm and allow reli...

Best mean square prediction for moving average time series models is generally non-linear prediction, even in the invertible case. Gaussian processes are an exception, since best linear prediction is always best mean square prediction. Stable numerical recursions are proposed for computation of residuals and evaluation of unnormalized conditional distributions in invertible or non-invertible mo...

The Supercomputer Toolkit constructs parallel computation networks by connecting processor modules. These connections are set by the user prior to a run and are static during the run. The Technion’s Toolkit prototype was used to run a simplified version of the PSU/NCAR MM5 mesoscale model [9]. Each processor is assigned columns of the grid points of a square in the (x,y) space. When n × n colum...