23 papers · ranked by Valyu relevance
Kelvin Walenta, Simon Genser, Selim Solmaz, Antonio Lázaro
In the realm of road safety and the evolution toward automated driving, Advanced Driver Assistance and Automated Driving (ADAS/AD) systems play a pivotal role. As the complexity of these systems grows, comprehensive testing becomes imperative, with virtual test environments becoming crucial, especially for handling…
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…
Iman Alavi Fazel, Gabriel Wainer, Paolo Bellavista, Toni Adame Vázquez
'Toni Adame Vázquez'] The Internet of Things (IoT) has emerged as a transformative technology with a variety of applications across various industries. However, the development of IoT systems is hindered by challenges such as interoperability, system complexity, and the need for streamlined development and maintenance…
Kshitij Tiwari, Basak Sakcak, Prasanna Kumar Routray, M. Manivannan + 1 more
'Steven M. LaValle'] Abstract— This paper introduces mathematical models of touch sensors for mobile robots based on visibility. Serving a purpose similar to the pinhole camera model for computer vision, the introduced models are expected to provide a useful, idealized characterization of task-relevant information that…
Julian Vexler, Björn Vieten, Martin Nelke, Stefan Krämer
Sensor Networks Authors: ['Julian Vexler' 'Björn Vieten' 'Martin Nelke' 'Stefan Krämer'] Abstract. We present CavePerception, a framework for the analysis of sparse data from sensor networks that incorporates elements of inverse modeling and forward modeling. By integrating machine learning with physical modeling in a…
Roopa Hegde, Punya Prabha V, Shipra Upadhyay, Krishna S B + 1 more
'Paola Ayala'] This paper reports simulation of a carbon monoxide gas sensor using COMSOL Multiphysics whose active sensing material used is a carbon nanocomposite (i.e., 0.1 wt % of single-walled carbon nanotubes along with PEDOT:PSS (poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)) in an equal volume ratio of…
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…
Yihan Wang, Jiahao Tao, Liang Zhao
Industrial production often involves complex time-varying operating conditions that result in continuous time-series production data. The traditional soft sensor approach has difficulty adjusting to such dynamic changes, which makes model performance less optimal. Furthermore, online analytical systems have significant…
Martin Mojto, Karol Ľubušký, Miroslav Fikar, Radoslav Paulen
This paper deals with the problem of inferential (soft) sensor design. The nonlinear character of industrial processes is usually the main limitation to designing simple linear inferential sensors with sufficient accuracy. In order to increase the inferential sensor predictive performance and yet to maintain its linear…
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…
Amin Malekmohammadi, Nima Farzadnia, Amir Hajrasouliha, Ashley Lyn Mayer
'Ashley Lyn Mayer'] This article is a comprehensive review of state-of-the-art sensors of the built environment, applicable in construction, structural engineering, management, and planning industries. This review is framed within the technical definition of sensing systems and their components. Existing sensors are…
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…
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…
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…
Hyunbin Kim, Byeong-Il Ham, Keun Ha Choi, Kyung‐Soo Kim
Legged Robots Authors: ['Hyunbin Kim' 'Byeong-Il Ham' 'Keun Ha Choi' 'Kyung‐Soo Kim'] Abstract—This paper introduces a novel six-axis force/torque sensor tailored for compact and lightweight legged robots. Unlike traditional strain gauge-based sensors, the proposed non-contact design employs photocouplers, enhancing…
Kaneez Fizza, Prem Prakash Jayaraman, Abhik Banerjee, Dimitrios Georgakopoulos + 1 more
'Dimitrios Georgakopoulos' 'Rajiv Ranjan'] Abstract—The unprecedented growth of Internet of Things (IoT) and its applications in areas such as Smart Agriculture compels the need to devise newer ways for evaluating the quality of such applications. While existing models for application quality focus on the quality…
Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers + 4 more
Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical and sports applications. Previously, we developed an approach to estimate these variables from measurements with seven lower-body inertial sensors, i.e., the full setup, using optimal control…
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.…
Bashar Emon, Ahmadreza Kashefi, Md Habibur Rahman, Darbaz Adnan + 11 more
The tumor microenvironment plays a critical role in drug resistance, with extracellular matrix (ECM) mechanics, cell-cell crosstalk, and transport barriers contributing to poor therapeutic outcomes. Traditional two-dimensional (2D) cultures fail to capture these features, and drug efficacy in 2D often does not…
Katherine E. Duncker, Ashwini R. Shende, Irida Shyti, Ashley Ruan + 8 more
A critical goal in biology is deducing input signals from measurable readouts. Genetic circuits have successfully been designed to respond to specific analytes and produce quantifiable outputs; however, multiplexed signal processing remains challenging. This limitation is partially due to crosstalk, or sensors’…
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…
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…