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Total 409 results found since Jan 2013.

Sensors, Vol. 23, Pages 7623: Utilizing Motion Capture Systems for Instrumenting the OCRA Index: A Study on Risk Classification for Upper Limb Work-Related Activities
a-Bastidas In the search to enhance ergonomic risk assessments for upper limb work-related activities, this study introduced and validated the efficiency of an inertial motion capture system, paired with a specialized platform that digitalized the OCRA index. Conducted in a semi-controlled environment, the proposed methodology was compared to traditional risk classification techniques using both inertial and optical motion capture systems. The inertial method encompassed 18 units in a Bluetooth Low Energy tree topology network for activity recording, subsequently analyzed for risk using the platform. Principal outcomes...
Source: Sensors - September 2, 2023 Category: Biotechnology Authors: Pablo Aqueveque Guisella Pe ña Manuel Guti érrez Britam G ómez Enrique Germany Gustavo Retamal Paulina Ortega-Bastidas Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7513: Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model
This study provides a new method of quantitative analysis based on machine learning theory for determining the causes of natural wetland changes; it can be applied to large spatial scale areas, which is essential for a rapid monitoring of natural wetlands’ resources and an accurate decision-making on the ecological environment’s security.
Source: Sensors - August 29, 2023 Category: Biotechnology Authors: Hanlin Liu Nan Lin Honghong Zhang Yongji Liu Chenzhao Bai Duo Sun Jiali Feng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7461: Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator
Juncai Xu This research presents a comprehensive study of the dichotomous search iterative parabolic discrete time Fourier transform (Ds-IpDTFT) estimator, a novel approach for fine frequency estimation in noisy exponential signals. The proposed estimator leverages a dichotomous search process before iterative interpolation estimation, which significantly reduces computational complexity while maintaining high estimation accuracy. An in-depth exploration of the relationship between the optimal parameter p and the unknown parameter δ forms the backbone of the methodology. Through extensive simulations an...
Source: Sensors - August 28, 2023 Category: Biotechnology Authors: Miaomiao Wei Yongsheng Zhu Jun Sun Xiangyang Lu Xiaomin Mu Juncai Xu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7370: A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment
d S. Salama Smart grids (SGs) play a vital role in the smart city environment, which exploits digital technology, communication systems, and automation for effectively managing electricity generation, distribution, and consumption. SGs are a fundamental module of smart cities that purpose to leverage technology and data for enhancing the life quality for citizens and optimize resource consumption. The biggest challenge in dealing with SGs and smart cities is the potential for cyberattacks comprising Distributed Denial of Service (DDoS) attacks. DDoS attacks involve overwhelming a system with a huge volume of traffic, c...
Source: Sensors - August 24, 2023 Category: Biotechnology Authors: Latifah Almuqren Sumayh S. Aljameel Hamed Alqahtani Saud S. Alotaibi Manar Ahmed Hamza Ahmed S. Salama Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7359: Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process
This study describes the crucial requirement for comprehensive experimental design of UAV swarm systems before their deployment in real-world scenarios. To achieve this, we begin with a concise review of existing simulation platforms, assessing their suitability for various specific needs. Through this evaluation, we identify the most appropriate tools to facilitate one’s research objectives. Subsequently, we present an experimental design process tailored for validating the resilience and performance of UAV swarm systems for accomplishing the desired objectives. Furthermore, we explore strategies to simulate...
Source: Sensors - August 23, 2023 Category: Biotechnology Authors: Abhishek Phadke F. Antonio Medrano Chandra N. Sekharan Tianxing Chu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7292: Human Activity Recognition via Score Level Fusion of Wi-Fi CSI Signals
In this study, we investigate a score-level fusion structure for human activity recognition using the Wi-Fi channel state information (CSI) signals. The raw CSI signals undergo an important preprocessing stage before being classified using conventional classifiers at the first level. The output scores of two conventional classifiers are then fused via an analytic network that does not require iterative search for learning. Our experimental results show that the fusion provides good generalization and a shorter learning processing time compared with state-of-the-art networks.
Source: Sensors - August 21, 2023 Category: Biotechnology Authors: Gunsik Lim Beomseok Oh Donghyun Kim Kar-Ann Toh Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7264: Unmanned Ariel Vehicle (UAV) Path Planning for Area Segmentation in Intelligent Landmine Detection Systems
This study presents a framework for autonomous UAV-based landmine detection to determine the coverage route for scanning the target area. It is performed by extracting the area of interest using segmentation based on deep learning and then constructing the coverage route plan for the aerial survey. Multiple coverage path patterns are used to identify the ideal UAV route. The effectiveness of the suggested framework is evaluated using several target areas of differing sizes and complexities.
Source: Sensors - August 18, 2023 Category: Biotechnology Authors: Ahmed Barnawi Krishan Kumar Neeraj Kumar Nisha Thakur Bander Alzahrani Amal Almansour Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7199: A Hybrid Indoor Positioning System Based on Visible Light Communication and Bluetooth RSS Trilateration
wad Indoor positioning has become an attractive research topic because of the drawbacks of the global navigation satellite system (GNSS), which cannot detect accurate locations within indoor areas. Radio-based positioning technologies are one major category of indoor positioning systems. Another major category consists of visible light communication-based solutions, as they have become a revolutionary technology for indoor positioning in recent years. The proposed study intends to make use of both technologies by creating a hybrid indoor positioning system that uses VLC and Bluetooth together. The system first collects...
Source: Sensors - August 16, 2023 Category: Biotechnology Authors: Lamya Albraheem Sarah Alawad 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 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 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 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 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 6601: Use of Virtual Reality-Based Games to Improve Balance and Gait of Children and Adolescents with Sensorineural Hearing Loss: A Systematic Review and Meta-Analysis
Conclusion: Virtual reality-based games show promise as a potential technology to be included among the therapeutic options for rehabilitating the balance of children and adolescents with SNHL. However, given the methodological limitations of the trials and the overall low quality of evidence currently available on this topic, caution should be exercised when interpreting the results of the trials analyzed in this systematic review.
Source: Sensors - July 22, 2023 Category: Biotechnology Authors: Renato S. Melo Andrea Lemos Alexandre Delgado Maria Cristina Falc ão Raposo Karla M ônica Ferraz Rosalie Barreto Belian Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6597: Food Choices after Cognitive Load: An Affective Computing Approach
This study aims to explore the potential for developing an integrated eating behaviour assistant system that incorporates cognitive load factors. Two experimental sessions were conducted using custom-developed experimentation software to induce different stimuli. During these sessions, we collected 30 h of physiological, food consumption, and affective states questionnaires data to automatically detect cognitive load and analyse its effect on food choice. Utilising grid search optimisation and leave-one-subject-out cross-validation, a support vector machine model achieved a mean classification accuracy of 85.12% for the tw...
Source: Sensors - July 21, 2023 Category: Biotechnology Authors: Arpita Mallikarjuna Kappattanavar Pascal Hecker Sidratul Moontaha Nico Steckhan Bert Arnrich Tags: Article Source Type: research