We report about a Bessel beam CARS approach for axial profiling of multi-layer structures. This study presents an experimental implementation for the generation of CARS by Bessel beam excitation using only passive optical elements. Furthermore, an analytical expression is provided describing the generated anti-Stokes field by a homogeneous sample. Based on the concept of coherent transfer funct...

In this paper, we propose a novel multiscale approach to model Virtual Urban Environments thanks to the introduction of a design pattern which links activity places and transportation networks. This environment is also augmented with a synthetic population in order to build the Populated Urban Environment. The meso-simulator TransNetSim has been developed and coupled with the micro-simulator Vi...

Multidimensional databases are a great asset for decision making. Their users express complex OLAP (On-Line Analytical Processing) queries, often returning huge volumes of facts, sometimes providing little or no information. Furthermore, due to the huge volume of historical data stored in DWs, the OLAP applications may return a big amount of irrelevant information that could make the data explo...

in this paper, simultaneous placement of distributed generation, capacitor bank and protective devices are utilized to improve the efficiency of the distribution network. the objectives of the problem are reduction of active and reactive power losses, improvement of voltage profile and reliability indices and increasing distribution companies’ profit. the combination of firefly algorithm, parti...

Type I and type II second harmonic generation (SHG) of a beam transformed by the conical refraction phenomenon are presented. We show that, for type I, the second harmonic intensity pattern is a light ring with a point of null intensity while, for type II, the light ring possesses two dark regions. Taking into account the different two-photon processes involved in SHG, we have derived analytica...

The Little-Hopfield network is an auto-associative computational model of neural memory storage and retrieval. This model is known to robustly store collections of randomly generated binary patterns as stable-points of the network dynamics. However, the number of binary memories so storable scales linearly in the number of neurons, and it has been a longstanding open problem whether robust expo...

Data analysis has become a fundamental task in analytical chemistry due to the great quantity of analytical information provided by modern analytical instruments. Supervised pattern recognition aims to establish a classification model based on experimental data in order to assign unknown samples to a previously defined sample class based on its pattern of measured features. The basis of the sup...

Distributed Generation is the generation of electricity from many small energy sources and is located closer to the user, or customer. This paper presents analytical method to determine the optimal location to place a distributed generation in radial feeder model to minimize the real power loss of the system. The analytical expression and the methodology are based on the power flow method. The ...

This review summarizes and discusses the analytical methods and techniques described in the literature for hydride generation as a mode of slurry sample introduction into atomization cells. A brief comparison of detection limits for analytical atomic absorption methods and practical applications to analytical samples that utilize slurry hydride generation is discussed. The current state-of-the-...