Sensors, Vol. 24, Pages 2632: Assessing the Effect of Data Quality on Distance Estimation in Smartphone-Based Outdoor 6MWT
rio Salvi
As a result of technological advancements, functional capacity assessments, such as the 6-minute walk test, can be performed remotely, at home and in the community. Current studies, however, tend to overlook the crucial aspect of data quality, often limiting their focus to idealised scenarios. Challenging conditions may arise when performing a test given the risk of collecting poor-quality GNSS signal, which can undermine the reliability of the results. This work shows the impact of applying filtering rules to avoid noisy samples in common algorithms that compute the walked distance from positioning data. The...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Sara Caramaschi Carl Magnus Olsson Elizabeth Orchard Jackson Molloy Dario Salvi Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2633: Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
hbroth
To date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging infrastructure, and adverse environmental conditions on the one hand, and the scale, complexity, and critical safety implications of railway systems on the other. Our study is underpinned...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Micha ł Bałdyga Kacper Bara ński Jakub Belter Mateusz Kalinowski Pawe ł Weichbroth Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2634: Analysis and Prediction of Urban Surface Transformation Based on Small Baseline Subset Interferometric Synthetic Aperture Radar and Sparrow Search Algorithm & ndash;Convolutional Neural Network & ndash;Long Short-Term Memory Model
Sensors, Vol. 24, Pages 2634: Analysis and Prediction of Urban Surface Transformation Based on Small Baseline Subset Interferometric Synthetic Aperture Radar and Sparrow Search Algorithm–Convolutional Neural Network–Long Short-Term Memory Model
Sensors doi: 10.3390/s24082634
Authors:
Yuejuan Chen
Siai Du
Pingping Huang
Huifang Ren
Bo Yin
Yaolong Qi
Cong Ding
Wei Xu
With the acceleration of urbanisation, urban areas are subject to the combined effects of the accumulation of various natural factors, such as changes in temperature leading to the thermal expansion or contraction of sur...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Yuejuan Chen Siai Du Pingping Huang Huifang Ren Bo Yin Yaolong Qi Cong Ding Wei Xu Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2635: Assessing the Impact of COVID-19 on Amateur Runners & rsquo; Performance: An Analysis through Monitoring Devices
Sensors, Vol. 24, Pages 2635: Assessing the Impact of COVID-19 on Amateur Runners’ Performance: An Analysis through Monitoring Devices
Sensors doi: 10.3390/s24082635
Authors:
María García-Arrabé
María-José Giménez
Juliette Moriceau
Amandine Fevre
Jean-Sebastien Roy
Ángel González-de-la-Flor
Marta de la Plaza San Frutos
This retrospective study aimed to analyze the return to running of non-professional runners after experiencing asymptomatic or mild COVID-19. Participants aged 18–55 years who maintained a training load of ≥10 km/week for at least three months pr...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Mar ía García-Arrabé Mar ía-José Giménez Juliette Moriceau Amandine Fevre Jean-Sebastien Roy Ángel González-de-la-Flor Marta de la Plaza San Frutos Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2636: Comparative Analysis of Anomaly Detection Approaches in Firewall Logs: Integrating Light-Weight Synthesis of Security Logs and Artificially Generated Attack Detection
This study focuses on analyzing firewall logs from a large industrial control network and presents a novel method for generating anomalies that simulate real attacker actions within the network without the need for a dedicated testbed or installed security controls. To demonstrate that the proposed method is feasible and that the constructed logs behave as one would expect real-world logs to behave, different supervised and unsupervised learning models were compared using different feature subsets, feature construction methods, scaling methods, and aggregation levels. The experimental results show that unsupervised learnin...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Adrian Komadina Ivan Kova čević Bruno Štengl Stjepan Gro š Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2637: Learning Ground Displacement Signals Directly from InSAR-Wrapped Interferograms
irichai
Monitoring ground displacements identifies potential geohazard risks early before they cause critical damage. Interferometric synthetic aperture radar (InSAR) is one of the techniques that can monitor these displacements with sub-millimeter accuracy. However, using the InSAR technique is challenging due to the need for high expertise, large data volumes, and other complexities. Accordingly, the development of an automated system to indicate ground displacements directly from the wrapped interferograms and coherence maps could be highly advantageous. Here, we compare different machine learning algorithms to eval...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Lama Moualla Alessio Rucci Giampiero Naletto Nantheera Anantrasirichai Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2638: Automatic Detection of the Running Surface of Railway Tracks Based on Laser Profilometer Data and Supervised Machine Learning
l Kuffa
The measurement of the longitudinal rail profile is relevant to the condition monitoring of the rail infrastructure. The running surface is recognizable as a shiny metallic area on top of the rail head. The detection of the running surface is crucial for vehicle-based rail profile measurements, as well as for defect detection. This paper presents a methodology for the automatic detection of the running surface based on a laser profilometer. The detection of the running surface is performed based on the light reflected from the rail surface. Three rail surfaces with different surface conditions are considered. S...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Florian Mauz Remo Wigger Alexandru-Elisiu Gota Michal Kuffa Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2639: Modelling Inductive Sensors for Arc Fault Detection in Aviation
drado
Modern aircraft are being equipped with high-voltage and direct current (HVDC) architectures to address the increase in electrical power. Unfortunately, the rise of voltage in low pressure environments brings about a problem with unexpected ionisation phenomena such as arcing. Series arcs in HVDC cannot be detected with conventional means, and finding methods to avoid the potentially catastrophic hazards of these events becomes critical to assure further development of more electric and all electric aviation. Inductive sensors are one of the most promising detectors in terms of sensitivity, cost, weight and adapt...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Gabriel Barroso-de-Mar ía Guillermo Robles Juan Manuel Mart ínez-Tarifa Alexander Cuadrado Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2641: COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
In conclusion, in this study, we were able to create an accurate deep learning multi-modal to diagnose COVID-19 and differentiate it from other kinds of pneumonia and normal lungs, which will enhance the radiological diagnostic process. (Source: Sensors)
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Albatoul S. Althenayan Shada A. AlSalamah Sherin Aly Thamer Nouh Bassam Mahboub Laila Salameh Metab Alkubeyyer Abdulrahman Mirza Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2640: Personalized Machine Learning-Based Prediction of Wellbeing and Empathy in Healthcare Professionals
yoti Mishra
Healthcare professionals are known to suffer from workplace stress and burnout, which can negatively affect their empathy for patients and quality of care. While existing research has identified factors associated with wellbeing and empathy in healthcare professionals, these efforts are typically focused on the group level, ignoring potentially important individual differences and implications for individualized intervention approaches. In the current study, we implemented N-of-1 personalized machine learning (PML) to predict wellbeing and empathy in healthcare professionals at the individual level, leverag...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Jason Nan Matthew S. Herbert Suzanna Purpura Andrea N. Henneken Dhakshin Ramanathan Jyoti Mishra Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2642: A High-Quality Sample Generation Method for Improving Steel Surface Defect Inspection
Jing Xu
Defect inspection is a critical task in ensuring the surface quality of steel plates. Deep neural networks have the potential to achieve excellent inspection accuracy if defect samples are sufficient. Nevertheless, it is very different to collect enough samples using cameras alone. To a certain extent, generative models can alleviate this problem but poor sample quality can greatly affect the final inspection performance. A sample generation method, which employs a generative adversarial network (GAN), is proposed to generate high-quality defect samples for training accurate inspection models. To improve genera...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Yu He Shuai Li Xin Wen Jing Xu Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2643: Electrochemical Impedance Spectroscopy for the Sensing of the Kinetic Parameters of Engineered Enzymes
av Gál
The study presents a promising approach to enzymatic kinetics using Electrochemical Impedance Spectroscopy (EIS) to assess fundamental parameters of modified enteropeptidases. Traditional methods for determining these parameters, while effective, often lack versatility and convenience, especially under varying environmental conditions. The use of EIS provides a novel approach that overcomes these limitations. The enteropeptidase underwent genetic modification through the introduction of single amino acid modifications to assess their effect on enzyme kinetics. However, according to the one-sample t-test results...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Adri ána Dusíková Timea Baranov á J án Krahulec Ol ívia Dakošová J án Híveš Monika Naumowicz Miroslav G ál Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2628: Fusion of Land-Based and Satellite-Based Localization Using Constrained Weighted Least Squares
Ding Wang
Combining multiple devices for localization has important applications in the military field. This paper exploits the land-based short-wave platforms and satellites for fusion localization. The ionospheric reflection height error and satellite position errors have a great impact on the short-wave localization and satellite localization accuracy, respectively. In this paper, an iterative constrained weighted least squares (ICWLS) algorithm is proposed for these two kinds of errors. The algorithm converts the nonconvex equation constraints to linear constraints using the results of the previous iteration, thus ...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Paihang Zhao Linqiang Jiang Tao Tang Zhidong Wu Ding Wang Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2627: Innovative Solutions for Worn Fingerprints: A Comparative Analysis of Traditional Fingerprint Impression and 3D Printing
This study explores two distinct methods for fingerprint backup: traditional fingerprint impression and 3D printing technologies. Unlocking tests were conducted on commonly available optical fingerprint lock-equipped cell phones to assess the efficacy of these methods, particularly in unlocking with worn fingerprints. The research findings indicated that the traditional fingerprint impression method exhibited high fidelity in reproducing fingerprint patterns, achieving an impressive unlocking success rate of 97.8% for imprinting unworn fingerprints. However, when dealing with worn fingerprints, the traditional fingerprint ...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Wenhui Mao Yadong Zhao Petro Pavlenko Yihan Chen Xuezhi Shi Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2629: Identification of the Biomechanical Response of the Muscles That Contract the Most during Disfluencies in Stuttered Speech
. Elias
Stuttering, affecting approximately 1% of the global population, is a complex speech disorder significantly impacting individuals’ quality of life. Prior studies using electromyography (EMG) to examine orofacial muscle activity in stuttering have presented mixed results, highlighting the variability in neuromuscular responses during stuttering episodes. Fifty-five participants with stuttering and 30 individuals without stuttering, aged between 18 and 40, participated in the study. EMG signals from five facial and cervical muscles were recorded during speech tasks and analyzed for mean amplitude an...
Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Edu Marin Nicole Unsihuay Victoria E. Abarca Dante A. Elias Tags: Article Source Type: research
