Microneedle-Based Potentiometric Sensing System for Continuous Monitoring of Multiple Electrolytes in Skin Interstitial Fluids

ACS Sensors ◽  
2021 ◽  
Author(s):  
Huijie Li ◽  
Guangfu Wu ◽  
Zhengyan Weng ◽  
He Sun ◽  
Ravi Nistala ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Sensing System

A Sensing System for Continuous Monitoring of Bread Dough During Fermentation

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Fatemeh Sadat Nazeri ◽  
Mahdi Kadivar ◽  
Iman Izadi
Keyword(s):  
Continuous Monitoring ◽  
Bread Dough ◽  
Sensing System

scholarly journals Parallelized Wireless Sensing System for Continuous Monitoring of Microtissue Spheroids

ACS Sensors ◽  
2020 ◽  
Vol 5 (7) ◽  
pp. 2036-2043 ◽  
Author(s):  
Lei Dong ◽  
Paolo S. Ravaynia ◽  
Qing-An Huang ◽  
Andreas Hierlemann ◽  
Mario M. Modena
Keyword(s):  
Continuous Monitoring ◽  
Wireless Sensing ◽  
Sensing System ◽  
Wireless Sensing System

A wireless sensing system for continuous monitoring of intracompartmental pressures

2015 ◽  
Author(s):  
James Z. Jackson ◽  
Matthew K. Dion ◽  
John F. Drazan ◽  
David A. Forsh ◽  
Nathaniel C. Cady ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Wireless Sensing ◽  
Sensing System ◽  
Wireless Sensing System

Smart water grade continuous monitoring fiber optic sensing system

2015 ◽  
Author(s):  
Muhammad Ammar Afif Ahmad ◽  
Izzat Syahmi Pauzi ◽  
Nazatul Shafinaz Kamal Ariff ◽  
Habib Shawal ◽  
Wan Fazlida Hanim Abdullah
Keyword(s):  
Continuous Monitoring ◽  
Fiber Optic ◽  
Sensing System ◽  
Smart Water ◽  
Fiber Optic Sensing

The predictive power of track dynamic response for monitoring ballast degradation in turnouts

2019 ◽  
Vol 234 (9) ◽  
pp. 976-991 ◽  
Author(s):  
Seyed Mohammad Asadzadeh ◽  
Roberto Galeazzi
Keyword(s):  
Continuous Monitoring ◽  
Predictive Power ◽  
Least Squares Regression ◽  
Track Geometry ◽  
Sensing System ◽  
Power Spectral ◽  
Before And After ◽  
Novel Method ◽  
Track Substructure ◽  
Scale Data

This paper develops a novel method for the prediction of the level of degradation of the ballast layer in railway turnouts by establishing a statistical mapping between the train-induced vertical track acceleration and the vertical track geometry. This is performed by exploiting the full-scale data provided by a loaded geometry car and the track-side sensing system over a two-year period. Irregularities in the vertical track geometry are analyzed and correlated with the level of ballast degradation by means of fractal analysis. Partial least squares regression is then employed to identify the components of the power spectral density of vertical track acceleration, which provided more information about the ballast degradation. The proposed method has a remarkable predictive power of the ballast degradation as evaluated both in terms of accuracy and consistency of the prediction. The reported results, based on the data from four different locations of the turnout before and after a ballast tamping event, show a mean absolute prediction error between 2% and 8% and a minimum correlation greater than 90%. The proposed method enables the continuous monitoring of the track substructure components by exploiting the vertical track acceleration as a supplementary source for the prediction of ballast degradation.

The multicompartment SlideReactor – a novel concept for continuous monitoring of co-cultured cells

2009 ◽  
Vol 47 (01) ◽  
Author(s):  
N Billecke ◽  
S Tröller ◽  
N Raschzok ◽  
MH Morgül ◽  
NN Kammer ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Cultured Cells ◽  
Novel Concept
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