20 papers · ranked by Valyu relevance
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…
Thomas Ponn, Fabian Müller, Frank Diermeyer
— The objective of this paper is to propose a systematic analysis of the sensor coverage of automated vehicles. Due to an unlimited number of possible traffic situations, a selection of scenarios to be tested must be applied in the safety assessment of automated vehicles. This paper describes how phenomenological…
N. K. Malakar, Daniil Gladkov, Kevin H. Knuth
Robots rely on sensors to provide them with information about their surroundings. However, high-quality sensors can be extremely expensive and cost-prohibitive. Thus many robotic systems must make due with lower-quality sensors. Here we demonstrate via a case study how modeling a sensor can improve its efficacy when…
Farshad Yaghouti Niyat, M. H. Shahrokh Abadi
Despite SIESTA and COMSOL being increasingly used for the simulation of the sensing mechanism in the gas sensors, there are no modeling and simulation reports in literature for detection of NO2 based rGO/SnO2 sensors. In the present study, we model, simulate, and characterize an NO2 based rGO/SnO2 gas sensor using…
João Rosas, Luís Brito Palma, Rui Azevedo Antunes, Roberto Teti
We live in an era characterized by Society 4.0 and Industry 4.0 where successive innovations that are more or less disruptive are occurring. Within this context, the modeling and simulation of dynamic supervisory and control systems require dealing with more sophistication and complexity, with effects in terms of…
Ramón Huerta, Thiago Mosqueiro, Jordi Fonollosa, Nikolai F. Rulkov + 1 more
'Irene Rodríguez-Luján'] A method for online decorrelation of chemical sensor signals from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy of electronic nose measurements for continuous monitoring by processing data from simultaneous readings of…
Yoshiteru Ishida, Masahiro Tokumitsu
This paper proposes a profile-based sensing framework for adaptive sensor systems based on models that relate possibly heterogeneous sensor data and profiles generated by the models to detect events. With these concepts, three phases for building the sensor systems are extracted from two examples: a combustion control…
Xianglin Zhu, Khalil Ur Rehman, Bo Wang, Muhammad Shahzad
For effective monitoring and control of the fermentation process, an accurate real-time measurement of important variables is necessary. These variables are very hard to measure in real-time due to constraints such as the time-varying, nonlinearity, strong coupling, and complex mechanism of the fermentation process.…
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…
Astha Kukreja
—Ensuring the safe and reliable operation of collaborative robots demands robust sensor diagnostics. This paper introduces a methodology for formulating model-based constraints tailored for sensor diagnostics, featuring analytical relationships extending across mechanical and electrical domains. While applicable to…
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…
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…
Jason Liu, Daniel J. Spakowicz, Rebecca Hoyd, Garrett I. Ash + 7 more
The development of mobile health technology has the potential to contribute greatly to personalized medicine. Wearable sensors can assist with determining the proper treatment plans for individuals, provide quantitative information to physicians, or give individuals an objective measurement of their health. However…
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…
Reina Dannaoui, Xiao-Ke Yang, Wei-Hua Huang, Irina Svir + 2 more
Electrochemical calibration curves recorded at enzyme-modified micro- or nanoelectrodes are often quantitatively analysed using graphical approaches directly derived from the practice widely used in enzymatic analysis when enzymes as well as their substrate and cofactors are homogeneously distributed in the solution.…
Kabeer Gulati, Zuhaib Ahmad, Abhishek Raj
Any complex dynamic system's ability to function successfully depends in significant part on the accuracy of the sensor data; hence sensor data validation is crucial. Because sensor data is utilised for monitoring and oversight, erroneous sensor data would result in overall poor process output. In this study, the…
Denise Marrero, Ferran Pujol-Vila, Eva Tuset, Gemma Gabriel + 3 more
Real-time monitoring of biological events is essential for advancing in drug testing, disease modeling, and precision medicine. However, conventional analytical methods often lack the spatiotemporal resolution to capture dynamic cellular responses, particularly in Organ-on-a-Chip (OoC) platforms and microphysiological…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen + 1 more
'Peter Christen' 'Dimitrios Georgakopoulos'] Abstract The Internet of Things (IoT) is a dynamic global information network consisting of Internet-connected objects, such as RFIDs, sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future Internet.…
Gábor Holló, Jung Hun Park, Emanuele Boni, Yolanda Schaerli
Modeling and simulating gene regulatory networks (GRNs) is crucial for understanding biological processes, predicting system behavior, guiding the design of synthetic biological systems, and interpreting experimental data. In synthetic biology, GRNs play a pivotal role in enabling the design and control of complex…