We describe a single-photon source based on an array of spontaneous parametric downconversion (SPDC) modules multiplexed by an integrated structure composed of electro-optic switches and delay wave-guides. The suggested optical device allows to increase the photon source frequency compared to the SPDC laser pumping frequency and enhances both stability, controllability, and efficiency. This dev...

We present a scalable architecture called X-MIMI for the propagation of MIMI (Multi-modality, Multi-resource, Informatics Infrastructure System) to the biomedical research community. MIMI is a web-based system for managing the latest instruments and resources used by clinical and translational investigators. To deploy MIMI broadly, X-MIMI utilizes a parametric Role-Based Access Control model to...

(Received 00 Month 200x; In final form 00 Month 200x) We study experimentally parametric amplification in the continuous regime using a transverse-degenerate type-II Optical Parametric Oscillator operated below threshold. We demonstrate that this device is able to amplify either in the phase insensitive or phase sensitive way first a single mode beam, then a multimode image. Furthermore the tot...

Recently, recurrent neural networks (RNNs) as powerful sequence models have re-emerged as a potential acoustic model for statistical parametric speech synthesis (SPSS). The long short-term memory (LSTM) architecture is particularly attractive because it addresses the vanishing gradient problem in standard RNNs, making them easier to train. Although recent studies have demonstrated that LSTMs ca...

This thesis attempts the formation and systemization of a basis of knowledge and information, which is indispensable to turn a design support for kinetic structures into representation by means of a 3d animating program. Representation of kinetic structures by means of the existing ordinary software sources is possible; Nevertheless, such representation lacks of different important features and...

this paper seeks to investigate a new definition for architecture by unifying the three vitruvian principles of firmitas, utilities, and venustas via a phenomenological approach in the interpretation and analysis of their role in defining architecture. the paper is composed in two main sections. the first section investigates the nature of architecture based on the mentioned principles, where a...

One important feature of Bayesian Ying–Yang (BYY) harmony learning is that model selection can be made automatically during parametric learning. In this paper, BYY harmony learning with a bi-directional architecture is studied for Gaussian mixture modelling via a gradient learning rule. It has been demonstrated by simulation experiments that the number of Gaussians can be determined automatical...

We propose a pattern recognition system based on an architecture close to the one found in human visual cortex which is called Hypercolumns. We use this discrete parametric representation in connection with a sparsley coding associative memory. In principle the application of such a representation appears to be very well suited for data reduction and pattern recognition processes and is part of...

This work address the problem of extracting the Jominy hardness pro les of steels directly from the chemical composition. Wavelet and Neural networks provide very intresting results, especially when compared with classical methods. A hierarchical architecture is proposed, with a rst network used as a parametric modeler of the Jominy pro le, and a second one estimating parameters from the steel ...

This work compares a few attempts based on Neural and Wavelet networks, for extracting the Jominy hardness pro le of steels directly from the chemical composition. In particular, the paper proposes a multi-networks architecture, where a rst network is used as a parametric modeler of the Jominy pro le itself, while a second one is used as a parameter estimator from the steel chemical composition.