AMS-RF test quality: Assessing defect severity.

Author(s):  
Valentin Guiterrez ◽  
Antonio Gines ◽  
Gildas Leger
Keyword(s):  
Integration ◽  
2020 ◽  
Vol 73 ◽  
pp. 10-17
Author(s):  
Valentin Gutierrez ◽  
Gildas Leger

2019 ◽  
Vol 19 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Valentin Gutierrez Gil ◽  
Antonio J. Gines Arteaga ◽  
Gildas Leger

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sven Ove Hansson ◽  
Gert Helgesson ◽  
Niklas Juth

Abstract Background In the initial phase of the Covid-19 pandemic, difficult decisions had to be made on the allocation of testing resources. Similar situations can arise in future pandemics. Therefore, careful consideration of who should be tested is an important part of pandemic preparedness. We focus on four ethical aspects of that problem: how to prioritize scarce testing resources, the regulation of commercial direct-to-consumer test services, testing of unauthorized immigrants, and obligatory testing. Main text The distribution of scarce resources for testing: We emphasize the use of needs-based criteria, but also acknowledge the importance of choosing a testing strategy that contributes efficiently to stopping the overall spread of the disease. Commercial direct-to-consumer test services: Except in cases of acute scarcity, such services will in practice have to be allowed. We propose that they should be subject to regulation that ensures test quality and adequate information to users. Testing of unauthorized immigrants, their children and other people with unclear legal status: Like everyone else, these individuals may be in need of testing, and it is in society’s interest to reach them with testing in order to stop the spread of the disease. A society that offers comprehensive medical services to unauthorized immigrants is in a much better position to reach them in a pandemic than a society that previously excluded them from healthcare. Obligatory testing: While there are often strong reasons for universal testing in residential areas or on workplaces, there are in most cases better ways to achieve testing coverage than to make testing mandatory. Conclusion In summary, we propose (1) decision-making primarily based on needs-based criteria, (2) strict regulation but not prohibition of direct-to-consumer test services, (3) test services offered to unauthorized immigrants, preferably as part of comprehensive medical services, and (4) broad outreach of testing services whenever possible, but in general not obligatory testing.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 680
Author(s):  
Huaguo Liang ◽  
Jinlei Wan ◽  
Tai Song ◽  
Wangchao Hou

With the growing complexity of integrated circuits (ICs), more and more test items are required in testing. However, the large number of invalid items (which narrowly pass the test) continues to increase the test time and, consequently, test costs. Aiming to address the problems of long test time and reduced test item efficiency, this paper presents a method which combines a fast correlation-based filter (FCBF) and a weighted naive Bayesian model which can identify the most effective items and make accurate quality predictions. Experimental results demonstrate that the proposed method reduces test time by around 2.59% and leads to fewer test escapes compared with the recently adopted test methods. The study shows that the proposed method can effectively reduce the test cost without jeopardizing test quality excessively.


2015 ◽  
Vol 25 (03) ◽  
pp. 1640013
Author(s):  
Miroslav Valka ◽  
Alberto Bosio ◽  
Luigi Dilillo ◽  
Patrick Girard ◽  
Arnaud Virazel ◽  
...  

Power gating techniques have been adopted so far to reduce the static power consumption of integrated circuits (ICs). Power gating is usually implemented by means of several power switches (PSs). Manufacturing defects affecting PSs can lead to increase in the actual static power consumption and, in the worst case, they can completely isolate a functional block in the IC. Thus, efficient test and diagnosis solutions are needed. In this paper, we present a novel Design for Test and Diagnosis (DfTD) solution able to increase the test quality and diagnosis accuracy of PSs. The proposed approach has been validated through SPICE simulations on ITC’99 benchmark circuits as well as on industrial test cases.


2014 ◽  
Vol 63 (2) ◽  
pp. 151
Author(s):  
R Ubar ◽  
S Kostin ◽  
H Kruus ◽  
M Aarna ◽  
S Devadze

Author(s):  
Gerald J. Kost

ABSTRACT Context. Coronavirus disease 2019 (COVID-19) test performance depends on predictive values in settings of increasing disease prevalence. Geospatially distributed diagnostics with minimal uncertainty facilitate efficient point-of-need strategies. Objectives. To use original mathematics to interpret COVID-19 test metrics; assess Food and Drug Administration Emergency Use Authorizations and Health Canada targets; compare predictive values for multiplex, antigen, polymerase chain reaction kit, point-of-care antibody, and home tests; enhance test performance; and improve decision-making. Design. PubMed/newsprint generated articles documenting prevalence. Mathematica and open access software helped perform recursive calculations, graph multivariate relationships, and visualize performance by comparing predictive value geometric mean-squared patterns. Results. Tiered sensitivity/specificity comprise: T1) 90%, 95%; T2) 95%, 97.5%; and T3) 100%, ≥99%. Tier 1 false negatives exceed true negatives at >90.5% prevalence; false positives exceeded true positives at <5.3% prevalence. High sensitivity/specificity tests reduce false negatives and false positives yielding superior predictive values. Recursive testing improves predictive values. Visual logistics facilitate test comparisons. Antigen test quality falls off as prevalence increases. Multiplex severe acute respiratory syndrome (SARS)-CoV-2)*Influenza A/B*Respiratory-Syncytial Virus (RSV) testing performs reasonably well compared to Tier 3. Tier 3 performance with a Tier 2 confidence band lower limit will generate excellent performance and reliability. Conclusions. The overriding principle is select the best combined performance and reliability pattern for the prevalence bracket. Some public health professionals recommend repetitive testing to compensate for low sensitivity. More logically, improved COVID-19 assays with less uncertainty conserve resources. Multiplex differentiation of COVID-19 from Influenza A/B-RSV represents an effective strategy if seasonal flu surges next year.


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