Study on Crest Factor Controlled Multi-Tone Signal for Analog RF Circuit Testing

Author(s):  
Yukiko Shibasaki ◽  
Koji Asami ◽  
Akemi Hatta ◽  
Riho Aoki ◽  
Anna Kuwana ◽  
...  
Author(s):  
Piotr Kyziol ◽  
Damian Grzechca ◽  
Tomasz Golonek ◽  
Jerzy Rutkowski

Author(s):  
Yukiko Shibasaki ◽  
Koji Asami ◽  
Riho Aoki ◽  
Akemi Hatta ◽  
Anna Kuwana ◽  
...  

2019 ◽  
Vol 139 (8) ◽  
pp. 522-526
Author(s):  
Kyoya Nonaka ◽  
Tadashi Koshizuka ◽  
Eiichi Haginomori ◽  
Hisatoshi Ikeda ◽  
Takeshi Shinkai ◽  
...  

2013 ◽  
Vol E96.C (2) ◽  
pp. 241-244
Author(s):  
Ryuta YAMANAKA ◽  
Taka FUJITA ◽  
Hideyuki SOTOBAYASHI ◽  
Atsushi KANNO ◽  
Tetsuya KAWANISHI

2020 ◽  
Vol 13 ◽  
Author(s):  
Inbasekaran S. ◽  
G. Thiyagarajan ◽  
Ramesh C. Panda ◽  
S. Sankar

Background:: Chrome shavings, a bioactive material, are generated from tannery as waste material. These chrome shaving can be used for the preparation of many value-added products. Objective:: One such attempt is made to use these chrome shaving wastes as a composite bio-battery to produce DC voltage, an alternate green energy source and cleaner technology. Methods:: Chrome shavings are hydrolyzed to make collagen paste and mixed with the ferrous nanoparticles of Moringa oleifera leaves and Carbon nanoparticles of Onion peels to form electrolyte paste as base. Then, the electrolyte base was added to the aluminum paste and conducting gel, and mixed well to form composite material for bio-battery. Results:: The composite material of bio-battery has been characterized using Scanning Electron Microscopy (SEM), Fourier-Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC) and Thermo Gravimetric Analysis (TGA). Series and parallel circuit testing were done using Copper and Zinc electrodes or Carbon and Zinc electrodes as the battery terminals in the electrolyte paste. The surface area of these electrodes needs standardization from bench to pilot scale. The power generated, for an AA battery size, using a single bio-battery cell has produced a DC voltage of 1.5 V; current of 900 mA. Circuit testing on 1 ml of 80 well-cells connected in series has produced DC output of 18 V and 1100 mA whereas 48 V and 1500 mA were obtained from a series-parallel connection. Conclusion:: The glass transition temperature (Tg) of electrolyte of the bio-battery at 53°C indicates that, at this temperature, all the substances present in the bio-battery are well spread and contributing consistently to the electrolyte activity where Fe-C-Nano-Particles were able to form strong chemical bonds on the flanking hydroxyl group sites of the Collagen leading to reduced mobility of polymers and increase Tg. The results instigate promising trends for commercial exploitation of this composite for bio-battery production.


1989 ◽  
Vol 20 (5) ◽  
pp. 205-217
Author(s):  
J Deforges ◽  
P Garcia ◽  
J Bastie ◽  
F Marandet ◽  
J Bernard ◽  
...  

2021 ◽  
Vol 168 ◽  
pp. 112654
Author(s):  
Ulf Stephan ◽  
Olaff Steinke ◽  
Andrey Ushakov ◽  
Ad Verlaan ◽  
Maarten de Bock ◽  
...  

2004 ◽  
Vol 1 (7) ◽  
pp. 156-159 ◽  
Author(s):  
Yoshiaki Yoshihara ◽  
Hirotaka Sugawara ◽  
Hiroyuki Ito ◽  
Kenichi Okada ◽  
Kazuya Masu

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1074
Author(s):  
Raul Rotar ◽  
Sorin Liviu Jurj ◽  
Flavius Opritoiu ◽  
Mircea Vladutiu

This paper presents a mathematical approach for determining the reliability of solar tracking systems based on three fault coverage-aware metrics which use system error data from hardware, software as well as in-circuit testing (ICT) techniques, to calculate a solar test factor (STF). Using Euler’s named constant, the solar reliability factor (SRF) is computed to define the robustness and availability of modern, high-performance solar tracking systems. The experimental cases which were run in the Mathcad software suite and the Python programming environment show that the fault coverage-aware metrics greatly change the test and reliability factor curve of solar tracking systems, achieving significantly reduced calculation steps and computation time.


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