scholarly journals Dealing with the Obsolescence of Programmable Logic Devices (PLDs) in Electronic Products

2021 ◽  
Author(s):  
Paulo A. Dal Fabbro ◽  
Heider Marconi G. Madureira ◽  
Marcos B. Hervé ◽  
Daniel L. Ferrão ◽  
Murilo P. Pessatti
Keyword(s):  
End Of Life ◽  
Viable Alternative ◽  
Programmable Logic ◽  
Time To Market ◽  
Electronic Products ◽  
Viable Solution ◽  
Long Time ◽  
Programmable Logic Devices ◽  
Business Conditions ◽  
Product Manufacturer

PLDs are commonplace in today's electronic products. When such devices reach their end-of-life, the product manufacturer must find a viable solution, both technical and economical. Replacing a PLD by an ASIC is a viable alternative that is explored in this paper, using a real case as an example. Boundary business conditions for deciding for this option are presented. Depending on these conditions, obsolescence can be seen as an opportunity for the improvement of the product, taking advantage of other benefits that an ASIC brings. As an ASIC development can be seen as risky, pricy, and as having a long time to market, a structured ASIC platform, called ICX, that mitigates all of these three aspects, is also presented.

Reliability of an Electronic Product Fabricated of Mass-Produced Components

2018 ◽  
Vol 2018 (1) ◽  
pp. 000337-000343
Author(s):  
E. Suhir
Keyword(s):  
Failure Rate ◽  
Favorable Effect ◽  
Irreversible Processes ◽  
Physics Of Failure ◽  
Electronic Products ◽  
Electronic Product ◽  
Long Time ◽  
Normal Law ◽  
Future Work ◽  
Product Manufacturer

Abstract Bathtub curve (BTC), the reliability “passport” of an electronic product, is affected by two major irreversible processes: the decreasing with time statistics-related failure rate (SFR) process and increasing with time physics-of-failure-related failure rate (PFR) process. The first process dominates at the infant-mortality portion (IMP) of the curve and the second one – at its wear-out portion (WOP). For many electronic products these two processes compensate for each other at the BTC's steady-state portion. The SFR process can be predicted theoretically for products comprised of mass-produced components, i.e., for typical electronic products. This could be done assuming that the failure rates of the components received by an electronic product manufacturer from various and numerous vendors can be viewed as random variables distributed between zero and infinity and that the SFR and PFR processes are statistically independent. The predicted non-random SFR depends, of course, on the particular probability distribution function (PDF) of the random SFRs of its components. Two PDFs for the components' random SFR have been considered in this analysis: normal (Gaussian) and Rayleigh. The normal law turned out to be more conservative: it led to a slower decrease in the SFR of the product than the Rayleigh law. Future work should include the investigation into the most realistic distributions of the random SFR for the most critical and the most vulnerable components obtained from major vendors of the particular manufacturer, particular products and applications. The computed data indicate that the decrease in the resulting failure rate at the WOP of the BTC because of the favorable effect of the decrease of the non-random SFR with time can be appreciable for highly reliable products expected to function for a long time.

To the memory of the geobotanist. Leonid E. Rodin (to the 100th anniversary of his birthday)

2007 ◽  
pp. 106-107
Author(s):  
B. K. Gannibal
Keyword(s):  
End Of Life ◽  
100Th Anniversary ◽  
State University ◽  
Botanical Institute ◽  
Komarov Botanical Institute ◽  
The Future ◽  
Long Time ◽  
High Level

Leonid Efimovich Rodin (1907-1990) was a graduate of Leningrad state University. To him, the future is known geobotanica, happened to a course in Botanical geography is still at the N. A. Bush. His teachers were also A. P. Shennikov and A. A. Korchagin, who subsequently headed related Department of geobotany and Botanical geography of Leningrad state University. This was the first school scientist. And since the beginning of the 30s of XX century and until the end of life L. E. was an employee of the Department of geobotany of the Komarov Botanical Institute (RAS), where long time worked together with E. M. Lavrenko, V. B. Sochava, B. A. Tikhomirov, V. D. Alexandrova and many other high-level professionals, first continuing to learn and gain experience, then defining the direction of development of geobotany in the Institute and the country as a whole.

A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products

2012 ◽  
Vol 68 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Ahmed ElSayed ◽  
Elif Kongar ◽  
Surendra M. Gupta ◽  
Tarek Sobh
Keyword(s):  
End Of Life ◽  
Electronic Products ◽  
Disassembly Sequence ◽  
Sequence Generator

scholarly journals Mixed Models as a Tool for Comparing Groups of Time Series in Plant Sciences

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 362
Author(s):  
Ioannis Spyroglou ◽  
Jan Skalák ◽  
Veronika Balakhonova ◽  
Zuzana Benedikty ◽  
Alexandros G. Rigas ◽  
...  
Keyword(s):  
Time Series ◽  
Random Effects ◽  
Mixed Models ◽  
Mixed Model ◽  
Repeated Measurements ◽  
Time Series Models ◽  
Additional Time ◽  
Biotic Stresses ◽  
Viable Solution ◽  
Long Time

Plants adapt to continual changes in environmental conditions throughout their life spans. High-throughput phenotyping methods have been developed to noninvasively monitor the physiological responses to abiotic/biotic stresses on a scale spanning a long time, covering most of the vegetative and reproductive stages. However, some of the physiological events comprise almost immediate and very fast responses towards the changing environment which might be overlooked in long-term observations. Additionally, there are certain technical difficulties and restrictions in analyzing phenotyping data, especially when dealing with repeated measurements. In this study, a method for comparing means at different time points using generalized linear mixed models combined with classical time series models is presented. As an example, we use multiple chlorophyll time series measurements from different genotypes. The use of additional time series models as random effects is essential as the residuals of the initial mixed model may contain autocorrelations that bias the result. The nature of mixed models offers a viable solution as these can incorporate time series models for residuals as random effects. The results from analyzing chlorophyll content time series show that the autocorrelation is successfully eliminated from the residuals and incorporated into the final model. This allows the use of statistical inference.

Sign in / Sign up

Export Citation Format

Share Document