Detection limit of a VCO based detection chain dedicated to particles recognition and tracking

A particle detection chain based on CMOS-SOI VCO circuit is presented. The solution is used for the recognition and the tracking of a given particle at circuit level. TCAD simulation of the detector has been performed on a 3×3 matrix of diodes based detector for particles recognition and tracking. The current response of the detector has been used for a case study in order to determine the ability of the chain to recognize an alpha particle crossing a 3×3 detection cell. The detection limit of the proposed solution is investigated and discussed in this paper.

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On the Performance of an Aerosol Electrometer with Enhanced Detection Limit

Sensors ◽

10.3390/s18113889 ◽

2018 ◽

Vol 18 (11) ◽

pp. 3889 ◽

Cited By ~ 3

Author(s):

Yixin Yang ◽

Tongzhu Yu ◽

Jiaoshi Zhang ◽

Jian Wang ◽

Wenyu Wang ◽

...

Keyword(s):

Detection Limit ◽

Detection Efficiency ◽

Particle Diameter ◽

Electrical Current ◽

Statistical Correlation ◽

Measurement Noise ◽

Mean Square ◽

Particle Detection ◽

Faraday Cup ◽

Feedback Resistor

An aerosol electrometer with enhanced detection limit was developed for measuring the collected particles electrical current ranging from −50 pA to 50 pA with no range switching necessary. The detection limit was enhanced by suppressing the electric current measurement noise and improving the detection efficiency. A theoretical model for the aerosol electrometer has been established to investigate the noise effect factors and verified experimentally. The model showed that the noise was a function of ambient temperature, and it was affected by the characteristics of feedback resistor and operational amplifier simultaneously. The Faraday cup structure of the aerosol electrometer was optimized by adopting a newly designed cup-shaped metal filter which increased the surface area of the cup; thus the particle interception efficiency was improved. The aerosol electrometer performance-linearity, noise and the particle detection efficiency, were evaluated experimentally. When compared with TSI-3068B, a 99.4% ( R 2 ) statistical correlation was achieved. The results also showed that the root mean square noise and the peak-to-peak noise were 0.31 fA and 1.55 fA, respectively. The particle detection efficiency was greater than 99.3% when measuring particle diameter larger than 7.0 nm.

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Loyalty programs: the vital safety feature for airlines to survive COVID-19

International Hospitality Review ◽

10.1108/ihr-03-2021-0017 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Manuel E. Pascual ◽

Lisa Nicole Cain

Keyword(s):

Airline Industry ◽

Loyalty Programs ◽

Current Response ◽

Long Term Effects ◽

Loyalty Program ◽

Case Study Methodology ◽

Content Type ◽

Hospitality And Tourism ◽

American Airlines

PurposeThe airline industry has been severely impacted by COVID-19 due to widespread travel restrictions. Its current response is crucial to ensure continued operations after the global pandemic is resolved. One resource the airlines are leveraging is loyalty programs. This study aims to examine the viability of leveraging loyalty programs in times of crisis.Design/methodology/approachThis study employs a case study methodology to examine how one company, American Airlines, has used its loyalty program to survive a pandemic and alleviate the financial costs associated with limited and restricted travel.FindingsAmerican Airlines' AAdvantage loyalty program structure may be used as a benchmark to understand how airlines can anchor their loyalty base to reinvigorate travel interest and use these programs as safeguards in critical instances that may arise in the future.Research limitations/implicationsThe case was bound by the fact that the pandemic was still a threat during the time of analysis. The findings of this case study go beyond the airline industry and may inform other hospitality and tourism organizations on the benefits of loyalty programs in times of financial distress.Originality/valueThis is the first known case study examining the strengths and opportunities of the structure of the American Airlines' AAdvantage program as a means for surviving in a time of crisis. Moreover, understanding how to mitigate the long-term effects of crises may help to inform future short-term strategies of airlines and other hospitality and tourism organizations for navigating unexpected shocks to their ecosystem.

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