23 papers · ranked by Valyu relevance
Shunfeng Cheng, Michael H. Azarian, Michael G. Pecht
Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. Sensor systems are needed for PHM to monitor environmental, operational, and…
Gbenga Fabusola, Gina Noh, Cory Simon
The cross-sensitivity of a gas sensor can be mitigated by installing a catalytic filter upstream. The objective of the filter is to convert interferents into species that interact weakly with the recognition element of the sensor. Mathematical models may be useful for optimizing the design parameters of the catalytic…
Mehdi Bejani, Marco Mauri, Daniele Acconcia, Simone Todaro + 1 more
This paper presents an innovative Transformer-based deep learning strategy for optimizing the placement of sensors aiming at structural health monitoring of semiconductor probe cards. Failures in probe cards, including substrate cracks and loosened screws, would critically affect semiconductor manufacturing yield and…
James M. Robson, Alexander A. Green
RNA-based biosensors have emerged as essential tools in synthetic biology and diagnostics, enabling precise and programmable responses to diverse RNA inputs. However, the time to design, produce, and screen high-performance RNA sensors remains a critical challenge. The fundamental rules governing RNA-RNA…
Zeheng Wang, James M. Cooper, Muhammad Usman, Timothy van der Laan
Realized by Rapid Ensemble Learning Authors: ['Zeheng Wang' 'James M. Cooper' 'Muhammad Usman' 'Timothy van der Laan'] The rapid advancement of Internet of Things (IoT) necessitates the development of optimized Chemiresistive Sensor (CRS) arrays that are both energy-efficient and capable. This study introduces a novel…
Simon Schmidt, Birgit Schlager, Stefan Muckenhuber, Rainer Stark + 2 more
'Iván García Daza' 'Javier Alonso Ruiz'] Sensor models provide the required environmental perception information for the development and testing of automated driving systems in virtual vehicle environments. In this article, a configurable sensor model architecture is introduced. Based on methods of model-based systems…
Luis Miguel Moreno Haro, Adaiton Oliveira-Filho, Bruno Agard, Antoine Tahan + 1 more
'Antoine Tahan' 'Yi Qin'] This paper presents a novel approach for detecting sensor failures using image-based feature representation and the Convolutional Variational Autoencoder (CVAE) model. Existing methods are limited when analyzing multiple failure modes simultaneously or adapting to diverse sensor data. This…
Nayan Bhatt, SKM Varadhan
For ranking the sensors based on the performance, we modified the backward selection algorithm. For finding the importance of a sensor, we made network input to be zero for a particular sensor and tested network again on the training dataset. The increase in the network performance error is an indirect measure of…
Yirui Kong, Zhenhua Guo, Weifu Kong, Hongjuan Li + 5 more
Real-time quality monitoring during oyster cold chain transportation is a critical component in ensuring food safety. Addressing the issues of high redundancy and insufficient environmental adaptability in existing electronic nose systems, this study proposes a multi-algorithm collaborative optimization strategy for…
Paul Morris, Cory Simon
In many gas sensing tasks, we simply wish to become aware of gas compositions that deviate from normal, "business-as-usual" conditions. We provide a methodology, illustrated by example, to computationally predict the performance of a gas sensor array design for detecting anomalous gas compositions. Specifically, we…
Charlie Mydlarz, Mohit Sharma, Yitzchak Lockerman, Ben Steers + 2 more
Noise pollution is one of the topmost quality of life issues for urban residents in the United States. Continued exposure to high levels of noise has proven effects on health, including acute effects such as sleep disruption, and long-term effects such as hypertension, heart disease, and hearing loss. To investigate…
Amir Eshaghi Chaleshtori, Abdollah Aghaie
system based on data-envelopment analysis Authors: ['Amir Eshaghi Chaleshtori' 'Abdollah Aghaie'] Several methods have been proposed to identify which sensor sets are optimal for finding and localizing faults under different conditions for mechanical equipment. In order to preserve acceptable performance while…
Masoud Kishani Farahani, Morteza Kolivandi, Abbas Rajabi Ghahnavieh, Mohammad Talaei
'Mohammad Talaei'] This study investigates the reliability and robustness of data-driven Fault Detection and Diagnosis (FDD) models for CO2 refrigeration systems (CO2-RS) in supermarkets, focusing on optimal sensor selection and resilience against sensor noise. Employing tree-based machine learning algorithms—Random…
Nickolas Gantzler, Adrian Henle, Praveen Thallapally, Xiaoli Fern + 1 more
A gravimetric, MOF-based (MOF = metal-organic framework) sensor array functions by measuring the mass of gas adsorbed in an array of MOFs. Changes in the gas composition are expected to produce detectable changes in the mass of gas adsorbed in the MOFs. In practical settings, multiple components of the gas adsorb into…
Zihan Gao, Maria Suarez-Diez, Pieter Candry
Whole-cell biosensors are powerful tools for metabolite monitoring, yet challenges such as narrow dynamic range and high leaky expression limit their broader applications. Here, we present a systematic workflow based on two Design-Build-Test-Learn (DBTL) cycles to develop and optimize a transcription factor-based…
Alexandros Gazis, Ioannis Papadongonas, Athanasios Andriopoulos, Constantinos Zioudas + 1 more
This article provides a comprehensive overview of sensors commonly used in low-cost, low-power systems, focusing on key concepts such as Internet of Things (IoT), Big Data, and smart sensor technologies. It outlines the evolving roles of sensors, emphasizing their characteristics, technological advancements, and the…
Xiuguo Zou, Wenchao Liu, Zhiqiang Huo, Sunyuan Wang + 8 more
'Chengrui Xin' 'Yungang Bai' 'Zhenyu Liang' 'Yan Gong' 'Yan Qian' 'Lei Shu' 'Giovanni Betta'] Sensors have been used in various agricultural production scenarios due to significant advances in the Agricultural Internet of Things (Ag-IoT), leading to smart agriculture. Intelligent control or monitoring systems rely…
Georg Jäger, Sebastian Zug, António Casimiro
The advent of cooperative systems entails a dynamic composition of their components. As this contrasts current, statically composed systems, new approaches for maintaining their safety are required. In that endeavor, we propose an integration step that evaluates the failure model of shared information in relation to an…
Lauren S. Puumala, Samantha M. Grist, Karyn Newton, So Jung Kim + 10 more
The integration of biosensors and microfluidics has facilitated the development of compact analytical devices capable of performing automated and information-rich detection of myriad targets, both in the lab and at the point of need. However, optimization of microfluidics-integrated biosensor systems and replicability…
Zachary Ballard, Hyou-Arm Joung, Artem Goncharov, Jesse Liang + 4 more
We present a deep learning-based framework to design and quantify point-of-care sensors. As its proof-of-concept and use-case, we demonstrated a low-cost and rapid paper-based vertical flow assay (VFA) for high sensitivity C-Reactive Protein (hsCRP) testing, a common medical test used for quantifying the degree of…
Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer + 1 more
'Fahim Kawsar'] Abstract—The emergence of multiple sensory devices on or near a human body is uncovering a new dynamics of extreme edge computing. In this, a powerful and resource-rich edge device such as a smartphone or a Wi-Fi gateway is transformed into a Personal Edge, collaborating with multiple devices to offer…
Meng Jia, Troy Sorensen, Dorit Hammerling
We propose a generic, modular framework to optimize the placement of continuous monitoring sensors on oil and gas sites aiming to maximize the methane emissions detection efficiency. Our proposed framework substantially expands the problem scale compared to previous related studies and can be adapted for different…
Richard Murray, Arbresha Muriqi, Cathal Larrigy, Alida Russo + 4 more
Volatile organic compounds (VOCs) are a common risk to human health in industrial and domestic settings. VOCs are often present at concentrations that cannot be detected through human odor perception. VOC sensors are, therefore, urgently needed for home and workplace environmental monitoring, including wearable sensors…