Technologies producing high current density (>20mA/cm2) negative ions at a low operating gas pressure (<0.3Pa) has been established. Reduction of the gas pressure is efficient to improve the acceleration efficiency of neutral beam injectors. Beam optics in a multi-aperture, multi-stage electrostatic accelerator has been studied using a 400keV negative ion source. It was found that the ion beam ...

The electron beam quality determines the main synchrotron radiation characteristics therefore beam diagnostics is of great importance for synchrotron radiation source performance. The real-time processing of the electron beam parameters is a necessary procedure to optimize the key characteristics of the source using feedback loops. The frequency of electron beam cycling in the synchrotron stora...

Multi-step forecasts can be produced recursively by iterating a one-step model, or directly using a specific model for each horizon. Choosing between these two strategies is not an easy task since it involves a trade-off between bias and estimation variance over the forecast horizon. Using a nonlinear machine learning model makes the tradeoff even more difficult. To address this issue, we propo...

In this paper, the method of electric analog synthesis is applied to design a piezo-electro-mechanical arch able show capacity multimodal damping. An electric-analog circuit designed by using finite number lumped elements representing equivalent curved beam. Spatial and frequency coherence conditions are proven be verified for modes damped: in fact, lumped-element can damp only vibration modes....

While natural language as an interaction modality is increasingly being accepted by users, remaining technological challenges still hinder its widespread employment. Tools that better support the design, development and improvement of these types of applications are required. This demo presents a prototyping framework for Spoken Dialog System (SDS) design which combines existing language techno...

Multi-step forecasts can be produced recursively by iterating a one-step model, or directly using a specific model for each horizon. Choosing between these two strategies is not an easy task since it involves a trade-off between bias and estimation variance over the forecast horizon. Using a nonlinear machine learning model makes the tradeoff even more difficult. To address this issue, we propo...

This paper aims to investigate the pull-in phenomenon of functionally graded (FG) capacitive nanocantilevers subjected to an electrostatic force and thermal moment due to an applied voltage and thermal shock considering intermolecular force within the framework of nonlocal elasticity theory to account for the small scale effect. The FG nano-beam is made of mixture of metal and ceramic which the...