|
|
|
|
|
Antonello Pasini and Stefano Amendola
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaohui Yang, Philipp Kästner, Eireen Käkel, Marek Smolarczyk, Shujie Liu, Qingdang Li and Hartmut Hillmer
For different metals and varying geometries, this paper presents simulations of electrostatically actuated MEMS cantilevers regarding their influence on pull-in voltage and actuation speed. Three-dimensional electromechanical modeling including many non-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kamyar B. Shahrbijari, Joaquim A. O. Barros and Isabel B. Valente
This article explores the application of the global resistance methods (GRMs) on the design of hybrid glass fiber-reinforced polymer (GFRP) and steel fiber-reinforced concrete (SFRC) beams. Addressing challenges posed by GFRP-reinforced beams, this study...
ver más
|
|
|
|
|
|
|
|
|
|
|
Paul Denham and Pietro Musumeci
We present an envelope equation-based approach to obtain analytical scaling laws for the shortest pulse length achievable using radiofrequency (RF)-based bunch compression. The derived formulas elucidate the dependencies on the electron beam energy and b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gabriele Dessena, Dmitry I. Ignatyev, James F. Whidborne, Alessandro Pontillo and Luca Zanotti Fragonara
Beam-like flexible structures are of interest in many fields of engineering, particularly aeronautics, where wings are frequently modelled and represented as such. Experimental modal analysis is commonly used to characterise the wing?s dynamical response...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Rosario Bassolillo, Egidio D?Amato, Immacolata Notaro, Gennaro Ariante, Giuseppe Del Core and Massimiliano Mattei
In recent years the use of Unmanned Aerial Vehicles (UAVs) has considerably grown in the civil sectors, due to their high flexibility of use. Currently, two important key points are making them more and more successful in the civil field, namely the decr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fabrizio Stesina
The release and retrieval of a CubeSat from a big spacecraft is useful for the external inspection and monitoring of the big spacecraft. However, docking maneuvers during the retrieval are challenging since safety constraints and high performance must be...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christoph Brandstetter and Sina Stapelfeldt
Non-synchronous vibrations arising near the stall boundary of compressors are a recurring and potentially safety-critical problem in modern aero-engines. Recent numerical and experimental investigations have shown that these vibrations are caused by the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guillaume Coiffier, Ghouthi Boukli Hacene and Vincent Gripon
Deep Neural Networks are state-of-the-art in a large number of challenges in machine learning. However, to reach the best performance they require a huge pool of parameters. Indeed, typical deep convolutional architectures present an increasing number of...
ver más
|
|
|
|
|
|
|
|
|
|
|
E. Tyler, B. Cohen
The implementation of climate change policy in South Africa inevitably requires decision-makers to navigate issues of development. This paper explores some of the implications of this requirement by examining the case of a proposed new independent coal-f...
ver más
|
|
|
|
|
|