Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Eugene John"'
Publikováno v:
The Baltic Journal of Road and Bridge Engineering, Vol 13, Iss 4, Pp 429-446 (2018)
This paper proposes an algorithm for the estimation of extreme intensity of traffic load on long-span bridges. Most Weigh-in-Motion technologies do not operate in congested conditions which are the governing cases for these bridges. In the absence of
Externí odkaz:
https://doaj.org/article/0a99494fd06c48eaa4c7d0672fd2570b
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4708 (2020)
This study describes the development and testing of a railway bridge weigh-in-motion (RB-WIM) system. The traditional bridge WIM (B-WIM) system developed for road bridges was extended here to calculate the weights of railway carriages. The system was
Externí odkaz:
https://doaj.org/article/9b52573e74504e52bf78c2944d30b72e
This paper investigates the leakage current, static noise margin (SNM), delay and energy consumption of a 6 transistor FinFET based static random-access memory (SRAM) cell due to the variation in design and operating parameters of the SRAM cell. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d62f017896f2fe600bc31dde2505a6
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Publikováno v:
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Publikováno v:
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Publikováno v:
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS).
Autor:
Cory Davis, Eugene John
Publikováno v:
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS).
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Automatic classification of cardiac abnormalities is becoming increasingly popular with the prevalence of ECG recordings. Many signal processing and machine learning algorithms have shown the potential to identify cardiac ab-normalities accurately. H
Publikováno v:
2022 IEEE Integrated STEM Education Conference (ISEC).