scholarly journals The Gaseous Electronic Conference (GEC) reference cell as a benchmark for understanding microelectronics processing plasmas

1999 ◽  
Vol 6 (5) ◽  
pp. 2307-2313 ◽  
Author(s):  
M. L. Brake ◽  
J. Pender ◽  
J. Fournier
Keyword(s):  
Reference Cell ◽  
Electronic Conference

scholarly journals Urban Water Management: A Pragmatic Approach

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3589
Author(s):  
Bruno Brunone ◽  
Marco Franchini
Keyword(s):  
Water Management ◽  
Urban Water ◽  
Urban Water Management ◽  
Pragmatic Approach ◽  
Electronic Conference

When the 4th edition of the International Electronic Conference on Water Sciences (ECWS-4), sponsored by Water and MDPI, was launched, the COVID-19 pandemic did not exist at all [...]

Tuneable dual-comb spectrometer based on commercial femtosecond lasers and reference cell for optical frequency calibration

2016 ◽  
Vol 122 (7) ◽  
Author(s):  
E. Portuondo-Campa ◽  
J. Bennès ◽  
L. Balet ◽  
S. Kundermann ◽  
F. Merenda ◽  
...  
Keyword(s):  
Femtosecond Lasers ◽  
Optical Frequency ◽  
Reference Cell ◽  
Frequency Calibration

A fully-functional 90nm 8Mb STT MRAM demonstrator featuring trimmed, reference cell-based sensing

2015 ◽  
Author(s):  
John DeBrosse ◽  
Thomas Maffitt ◽  
Yutaka Nakamura ◽  
Guenole Jan ◽  
Po-Kang Wang
Keyword(s):  
Reference Cell

Fully integrated 64 Kb MRAM with novel reference cell scheme

2002 ◽  
Author(s):  
H.S. Jeong ◽  
H.J. Kim ◽  
J.S. Hong ◽  
W.C. Jeong ◽  
S.H. Lee ◽  
...  
Keyword(s):  
Fully Integrated ◽  
Reference Cell

scholarly journals Robust-Output-Controlled Synchronization Strategy for Arrays of Pancreatic β-Cells

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
David I. Rosas Almeida ◽  
Laura O. Orea Leon
Keyword(s):  
Numerical Simulation ◽  
Sliding Mode ◽  
Active Cell ◽  
The Other ◽  
Β Cells ◽  
Pancreatic Β Cells ◽  
Reference Cell ◽  
The Difference ◽  
Synchronization Scheme ◽  
Second Order Sliding Mode

This paper presents a synchronization strategy based on second-order sliding mode control, to obtain robust controlled synchronization in an array of uncertain pancreatic β-cells. This strategy considers a synchronization scheme with a reference cell, which incorporates the desired dynamics, and an array of cells, which does not demonstrate adequate synchronization. The array may be formed by active and inactive cells having different strengths in gap junctions. For an array with three cells, we design the coupling signal considering that only the output of an active cell of the array is available. The coupling signal is the signum of the difference between the output of the reference cell and the output of an active cell in the array; this ensures exact synchronization in finite time between both cells. Then, this coupling signal is applied to the other cells in the array, and we establish the conditions required to be satisfied to obtain approximate synchronization between the reference cell and all other cells in the array. The performance of this technique is demonstrated by the results of numerical simulations performed for several cases of connections for an array with three cells and the reference cell. Finally, we show through a numerical simulation that this technique can be applied to arrays with many β-cells.

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