High-Fidelity Prediction of Megapixel Longitudinal Phase-Space Images of Electron Beams Using Encoder-Decoder Neural Networks

Longitudinal Phase-space and Transverse Slice Emittance Measurements of High-brightness Electron Beams

In order to measure the longitudinal phase-space profile of the electron beam, we are developing a compact measurement system consisting of a Cherenkov radiator, a bending magnet and a streak camera. The Cherenkov radiator with an aerogel is installed in the beam transport line, and the electron distribution in the longitudinal phase-space is obtained. Furthermore, a slice emittance measurement...

Synthesis of Cyclic Encoder and Decoder for High Speed Networks

In this paper a parallel implementation of an encoder and of a decoder for cyclic codes to increase the bit rate is proposed. The structures are composed of a cascade of iterative combinational cells able to obtain a finite output sequence spatially. The proposed solution allows high bit rates and high degree of modularity, so an easy integration of the circuits is possible. These characteristi...

Failure Load Prediction of Castellated Beams Using Artificial Neural Networks

This paper explores the use of artificial neural networks in predicting the failure load of castellated beams. 47 experimental data collected from the literature cover the simply supported beams with various modes of failure, under the action of either central single load, uniformly distributed load or two-point loads acting symmetrically with respect to the center line of the span. The data ar...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

The Diagnosis of Brucellosis in Rafsanjan City Using Deep Auto-Encoder Neural Networks

Introduction: Brucellosis is considered as one of the most important common infectious diseases between humans and animals. Considering the endemic nature of brucellosis and the existence of numerous reports of human and animal cases of brucellosis in Iran, the incidence of human brucellosis in Rafsanjan city was determined in the last 3 years (2016–2018). The main objective of this study was t...