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Andrea Frazzitta, Alberto Bacci, Arianna Carbone, Alessandro Cianchi, Alessandro Curcio, Illya Drebot, Massimo Ferrario, Vittoria Petrillo, Marcello Rossetti Conti, Sanae Samsam, Luca Serafini and Andrea Renato Rossi
X-ray production through betatron radiation emission from electron bunches is a valuable resource for several research fields. The EuAPS (EuPRAXIA Advanced Photon Sources) project, within the framework of EuPRAXIA, aims to provide 1?10 keV photons (X-ray...
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Yang Yi, Ke Sun, Yongqian Liu, Gang Ma, Chuankai Zhao, Fukang Zhang and Jianhua Zhang
The wave-energy excitation of point absorbers is highly associated with their resonant movement, and harmonic characteristics are of increasing concern in affecting resonance. However, the commonly used linearized power take-off (PTO) systems underestima...
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Sedami Tozoun Romain Agassin, Jocinei Dognini and Alexandre Tadeu Paulino
In this work, raw rice husk biochar (RRHB) was investigated for its potential as a valuable industrial byproduct for the decontamination of water using rhodamine B (RB) as a model pollutant. Specific functional chemical groups that were identified in the...
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Manny Anthony M. Taguba, Dennis C. Ong, Benny Marie B. Ensano, Chi-Chuan Kan, Nurak Grisdanurak, Jurng-Jae Yee and Mark Daniel G. de Luna
Researchers are in continuous search of better strategies to minimize, if not prevent, the anthropogenic release of toxic heavy metals, such as Cu(II) and Pb(II), into drinking water resources and the natural environment. Herein, we report for the first ...
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Stella Civelli, Enrico Forestieri and Marco Secondini
In the past years, nonlinear frequency division multiplexing (NFDM) has been investigated as a potentially revolutionary technique for nonlinear optical fiber communication. However, while NFDM is able to exploit the Kerr nonlinearity, its performance la...
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Xuefei Ma, Waleed Raza, Zhiqiang Wu, Muhammad Bilal, Ziqi Zhou and Amir Ali
Machine learning and deep learning algorithms have proved to be a powerful tool for developing data-driven signal processing algorithms for challenging engineering problems. This paper studies the modern machine learning algorithm for modeling nonlinear ...
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Weiyu Lu, Guoping Huang, Jinchun Wang and Yuxuan Yang
Traveling wave wall is a useful method to suppress flow separation. However, the interaction between the traveling wave wall and unsteady separation flow is complex, which causes difficulty in discovering the corresponding mechanism. To reveal the mechan...
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Fedor Mitschke, Christoph Mahnke and Alexander Hause
This is a review of fiber-optic soliton propagation and of methods to determine the soliton content in a pulse, group of pulses or a similar structure. Of central importance is the nonlinear Schrödinger equation, an integrable equation that possesses sol...
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Silvano Vergura, Roberto Zivieri and Mario Carpentieri
The broad diffusion of renewable energy-based technologies has introduced several open issues in the design and operation of smart grids (SGs) when distributed generators (DGs) inject a large amount of power into the grid. In this paper, a theoretical in...
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Tahir Cetin Akinci, Nazmi Ekren
Pág. 273 - 279
Ferroresonance is an electrical phenomenon in nonlinear character, which frequently occurs in power systems containing saturable transformers and single or more-phase switching on the lines for the disjunction of the loads. In this study, the ferroresona...
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