Zobrazeno 1 - 10
of 410
pro vyhledávání: '"Droguett, Enrique"'
Fault Trees represent an essential tool in the reliability and risk assessment of engineering systems. By decomposing the structure of the system into Boolean function, Fault Trees allow the quantitative and qualitative analysis of the system. One of
Externí odkaz:
http://arxiv.org/abs/2404.05853
Over the last decade, concepts such as industry 4.0 and the Internet of Things (IoT) have contributed to the increase in the availability and affordability of sensing technology. In this context, Structural Health Monitoring (SHM) arises as an especi
Externí odkaz:
http://arxiv.org/abs/2305.08738
Autor:
Benalcazar, Daniel P., Tapia, Juan E., Vasquez, Mauricio, Causa, Leonardo, Droguett, Enrique Lopez, Busch, Christoph
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems. Today, it is challenging to build NIR-capturing devices under the premise of hardware price reduction. Commercial NIR sensors are protected from modification.
Externí odkaz:
http://arxiv.org/abs/2210.13101
Autor:
Tapia, Juan, Benalcazar, Daniel, Valenzuela, Andres, Causa, Leonardo, Droguett, Enrique Lopez, Busch, Christoph
This research proposes a new database and method to detect the reduction of alertness conditions due to alcohol, drug consumption and sleepiness deprivation from Near-Infra-Red (NIR) periocular eye images. The study focuses on determining the effect
Externí odkaz:
http://arxiv.org/abs/2209.01683
Publikováno v:
26TH International Conference on Pattern Recognition (ICPR). August 21-25, 2022 Montr\'eal Qu\'ebec
This research proposes a method to detect alcohol consumption from Near-Infra-Red (NIR) periocular eye images. The study focuses on determining the effect of external factors such as alcohol on the Central Nervous System (CNS). The goal is to analyse
Externí odkaz:
http://arxiv.org/abs/2209.01657
Fault tree analysis is a technique widely used in risk and reliability analysis of complex engineering systems given its deductive nature and relatively simple interpretation. In a fault tree, events are usually represented by a binary variable that
Externí odkaz:
http://arxiv.org/abs/2204.10877
The early detection of drowsiness has become vital to ensure the correct and safe development of several industries' tasks. Due to the transient mental state of a human subject between alertness and drowsiness, automated drowsiness detection is a com
Externí odkaz:
http://arxiv.org/abs/2204.01666
Publikováno v:
In Reliability Engineering and System Safety October 2024 250
In this paper, we leverage the recent advances in physics-informed neural network (PINN) and develop a generic PINN-based framework to assess the reliability of multi-state systems (MSSs). The proposed methodology consists of two major steps. In the
Externí odkaz:
http://arxiv.org/abs/2112.00220
There has been a growing interest in deep learning-based prognostic and health management (PHM) for building end-to-end maintenance decision support systems, especially due to the rapid development of autonomous systems. However, the low trustworthin
Externí odkaz:
http://arxiv.org/abs/2111.00874