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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 7058: A Cooperative Hunting Method for Multi-USV Based on the A* Algorithm in an Environment with Obstacles
Jiabin Yu A single unmanned surface combatant (USV) has poor mission execution capability, so the cooperation of multiple unmanned surface ships is widely used. Cooperative hunting is an important aspect of multi USV collaborative research. Therefore, this paper proposed a cooperative hunting method for multi-USV based on the A* algorithm in an environment with obstacles. First, based on the traditional A* algorithm, a path smoothing method based on USV minimum turning radius is proposed. At the same time, the post order traversal recursive algorithm in the binary tree method is used to replace the enumeration algori...
Source: Sensors - August 9, 2023 Category: Biotechnology Authors: Zhihao Chen Zhiyao Zhao Jiping Xu Xiaoyi Wang Yang Lu Jiabin Yu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6940: Monitoring Scapular Kinematics through Wearable Magneto-Inertial Measurement Units: State of the Art and New Frontiers
Carnevale Monitoring shoulder kinematics, including the scapular segment, is of great relevance in the orthopaedic field. Among wearable systems, magneto-inertial measurement units (M-IMUs) represent a valid alternative for applications in unstructured environments. The aim of this systematic literature review is to report and describe the existing methods to estimate 3D scapular movements through wearable systems integrating M-IMUs. A comprehensive search of PubMed, IEEE Xplore, and Web of Science was performed, and results were included up to May 2023. A total of 14 articles was included. The results showed high hete...
Source: Sensors - August 4, 2023 Category: Biotechnology Authors: Carla Antonacci Umile Giuseppe Longo Ara Nazarian Emiliano Schena Arianna Carnevale Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6898: Adherence and the Diabetic Foot: High Tech Meets High Touch?
We examined the potential benefits of personalized content and clinician support for those receiving mobile health interventions. These findings may help to demonstrate the current and future utility of advanced technologies in improving patient adherence and outcomes, particularly in the context of diabetes management and the link between behavior and complications in diabetes, such as diabetic foot ulcers.
Source: Sensors - August 3, 2023 Category: Biotechnology Authors: Hadia Srass J. Karim Ead David G. Armstrong Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6870: Pedestrian Positioning Using an Enhanced Ensemble Transform Kalman Filter
This study is similar to the previous study in that it estimates the user position by fusing noisy positional information obtained from the PDR and RSS fingerprinting using the Bayes filter in the indoor pedestrian positioning system. However, this study differs from the previous study in that it uses an enhanced state estimation approach based on the ensemble transform Kalman filter (ETKF), called QETKF, as the Bayes filer for the indoor pedestrian positioning instead of the SKPF proposed in the previous study. The QETKF estimates the updated user position by fusing the predicted position by the PDR and the positional mea...
Source: Sensors - August 2, 2023 Category: Biotechnology Authors: Kwangjae Sung Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6848: ETMT: A Tool for Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment
o Nollo The growing number of people with cognitive impairment will significantly increase healthcare demand. Screening tools are crucial for detecting cognitive impairment due to a shortage of mental health experts aiming to improve the quality of life for those living with this condition. Eye tracking is a powerful tool that can provide deeper insights into human behavior and inner cognitive processes. The proposed Eye-Tracking-Based Trail-Making Test, ETMT, is a screening tool for monitoring a person’s cognitive function. The proposed system utilizes a fuzzy-inference system as an integral part of its ...
Source: Sensors - August 1, 2023 Category: Biotechnology Authors: Jyotsna Chandrasekharan Amudha Joseph Amritanshu Ram Giandomenico Nollo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6820: Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions
ta Cusano Cyber-physical or virtual systems or devices that are capable of autonomously interacting with human or non-human agents in real environments are referred to as social robots. The primary areas of application for biomedical technology are nursing homes, hospitals, and private homes for the purpose of providing assistance to the elderly, people with disabilities, children, and medical personnel. This review examines the current state-of-the-art of social robots used in healthcare applications, with a particular emphasis on the technical characteristics and requirements of these different types of systems. Huma...
Source: Sensors - July 31, 2023 Category: Biotechnology Authors: Luca Ragno Alberto Borboni Federica Vannetti Cinzia Amici Nicoletta Cusano Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6835: Search and Study of Marked Code Structures for a Spatially Distributed System of Small-Sized Airborne Radars
hev When forming the radar situation of a terrain, in order to increase its information content and to extract useful information, multi-position spatially distributed systems for integrating multi-angle radar data established by small-sized UAV-based airborne radars are used. In this case, each radar station belonging to a multi-position system as a probing signal must have its own unique marked signal. Such a setup will allow the signals reflected from ground objects and zones to be “attached” to specific receiving-transmitting positions of the multi-position system. This requirement resul...
Source: Sensors - July 31, 2023 Category: Biotechnology Authors: Vadim A. Nenashev Sergey A. Nenashev Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6806: On the Development of a Digital Twin for Underwater UXO Detection Using Magnetometer-Based Data in Application for the Training Set Generation for Machine Learning Models
eczorek Scanning underwater areas using magnetometers in search of unexploded ordnance is a difficult challenge, where machine learning methods can find a significant application. However, this requires the creation of a dataset enabling the training of prediction models. Such a task is difficult and costly due to the limited availability of relevant data. To address this challenge in the article, we propose the use of numerical modeling to solve this task. The conducted experiments allow us to conclude that it is possible to obtain high compliance with the numerical model based on the finite element method with the re...
Source: Sensors - July 30, 2023 Category: Biotechnology Authors: Marcin Blachnik Roman Przy łucki S ławomir Golak Piotr Ściegienka Tadeusz Wieczorek Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6771: Automatic Life Detection Based on Efficient Features of Ground-Penetrating Rescue Radar Signals
upitsch Good feature engineering is a prerequisite for accurate classification, especially in challenging scenarios such as detecting the breathing of living persons trapped under building rubble using bioradar. Unlike monitoring patients’ breathing through the air, the measuring conditions of a rescue bioradar are very complex. The ultimate goal of search and rescue is to determine the presence of a living person, which requires extracting representative features that can distinguish measurements with the presence of a person and without. To address this challenge, we conducted a bioradar test scenario u...
Source: Sensors - July 28, 2023 Category: Biotechnology Authors: Di Shi Gunnar Gidion Leonhard M. Reindl Stefan J. Rupitsch Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6749: IoT System Based on Artificial Intelligence for Hot Spot Detection in Photovoltaic Modules for a Wide Range of Irradiances
ro-Velasco Infrared thermography (IRT) is a technique used to diagnose Photovoltaic (PV) installations to detect sub-optimal conditions. The increase of PV installations in smart cities has generated the search for technology that improves the use of IRT, which requires irradiance conditions to be greater than 700 W/m2, making it impossible to use at times when irradiance goes under that value. This project presents an IoT platform working on artificial intelligence (AI) which automatically detects hot spots in PV modules by analyzing the temperature differentials between modules exposed to irradiances greater than 300...
Source: Sensors - July 28, 2023 Category: Biotechnology Authors: Leonardo Cardinale-Villalobos Efren Jimenez-Delgado Yariel Garc ía-Ramírez Luis Araya-Solano Luis Antonio Sol ís-García Abel M éndez-Porras Jorge Alfaro-Velasco Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6741: Research on Wind Turbine Fault Detection Based on the Fusion of ASL-CatBoost and TtRSA
This study aims to address the limitations of traditional machine learning algorithms in wind turbine fault detection and the imbalance of positive and negative samples in the fault detection dataset. To achieve the real-time detection of wind turbine group faults and to capture wind turbine fault state information, an enhanced ASL-CatBoost algorithm is proposed. Additionally, a crawling animal search algorithm that incorporates the Tent chaotic mapping and t-distribution mutation strategy is introduced to assess the sensitivity of the ASL-CatBoost algorithm toward hyperparameters and the difficulty of manual hyperparamete...
Source: Sensors - July 28, 2023 Category: Biotechnology Authors: Lingchao Kong Hongtao Liang Guozhu Liu Shuo Liu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6647: Global Path Planning of Unmanned Surface Vehicle Based on Improved A-Star Algorithm
g Zhu To make unmanned surface vehicles that are better applied to the field of environmental monitoring in inland rivers, reservoirs, or coasts, we propose a global path-planning algorithm based on the improved A-star algorithm. The path search is carried out using the raster method for environment modeling and the 8-neighborhood search method: a bidirectional search strategy and an evaluation function improvement method are used to reduce the total number of traversing nodes; the planned path is smoothed to remove the inflection points and solve the path folding problem. The simulation results reveal that the improve...
Source: Sensors - July 24, 2023 Category: Biotechnology Authors: Huixia Zhang Yadong Tao Wenliang Zhu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6645: Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm
This study targets the low accuracy and efficiency of the support vector machine (SVM) algorithm in rolling bearing fault diagnosis. An improved grey wolf optimizer (IGWO) algorithm was proposed based on deep learning and a swarm intelligence optimization algorithm to optimize the structural parameters of SVM and improve the rolling bearing fault diagnosis. A nonlinear contraction factor update strategy was also proposed. The variable coefficient changes with the shrinkage factor α. Thus, the search ability was balanced at different early and late stages by controlling the dynamic changes of the variable coef...
Source: Sensors - July 24, 2023 Category: Biotechnology Authors: Weijie Shen Maohua Xiao Zhenyu Wang Xinmin Song Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6625: An L-Shaped Three-Level and Single Common Element Sparse Sensor Array for 2-D DOA Estimation
Wubin Gao The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented, is a crucial research direction in the field of direction of arrival (DOA) estimation. In this paper, we propose a novel L-shaped sparse sensor array by adjusting the physical placement of the sensors in the sparse array. The proposed L-shaped sparse array consists of two sets of three-level and single-element sparse arrays (TSESAs), which estimate the azimut...
Source: Sensors - July 23, 2023 Category: Biotechnology Authors: Bo Du Weijia Cui Bin Ba Haiyun Xu Wubin Gao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6614: A Safety Warning Model Based on IAHA-SVM for Coal Mine Environment
eng Coal is an important resource that is closely related to people’s lives and plays an irreplaceable role. However, coal mine safety accidents occur from time to time in the process of working underground. Therefore, this paper proposes a coal mine environmental safety early warning model to detect abnormalities and ensure worker safety in a timely manner by assessing the underground climate environment. In this paper, support vector machine (SVM) parameters are optimized using an improved artificial hummingbird algorithm (IAHA), and its safety level is classified by combining various environmental para...
Source: Sensors - July 22, 2023 Category: Biotechnology Authors: Zhen Li Feng Feng Tags: Article Source Type: research