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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

Sensors, Vol. 23, Pages 6609: Learning Modality Complementary Features with Mixed Attention Mechanism for RGB-T Tracking
Jin Yu RGB-T tracking involves the use of images from both visible and thermal modalities. The primary objective is to adaptively leverage the relatively dominant modality in varying conditions to achieve more robust tracking compared to single-modality tracking. An RGB-T tracker based on a mixed-attention mechanism to achieve a complementary fusion of modalities (referred to as MACFT) is proposed in this paper. In the feature extraction stage, we utilize different transformer backbone branches to extract specific and shared information from different modalities. By performing mixed-attention operations in the backbon...
Source: Sensors - July 22, 2023 Category: Biotechnology Authors: Yang Luo Xiqing Guo Mingtao Dong Jin Yu 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

Sensors, Vol. 23, Pages 6593: Energy Harvesting System Whose Potential Is Mapped with the Modified Fibonacci Function
We present the issue of the occurrence of transient chaos in the analyzed systems. In the second part of this work, we determine and compare the effectiveness of the tested structures depending on the characteristics of the bumpers and an external excitation whose dynamics are described by the harmonic function, and find the best solutions from the point view of energy harvesting. The most effective impact of the use of bumpers can be observed when dealing with systems described by potential with deep external wells. In addition, the use of the Fibonacci hyperbolic sine is a simple and effective numerical tool for mapping ...
Source: Sensors - July 21, 2023 Category: Biotechnology Authors: Jerzy Margielewicz Damian G ąska Grzegorz Litak Jacek Caban Agnieszka Dudziak Xiaoqing Ma Shengxi Zhou Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6520: Cross-Layer Design for Energy-Efficient Reliable Multi-Path Transmission in Event-Driven Wireless Sensor Networks
uan In event-driven wireless sensor networks (WSNs), a reliable, efficient, and scalable routing solution is required for the reliable delivery of sensory data to the base station (BS). However, existing routing algorithms rarely address the issue of energy efficiency under multi-path conflicts for multi-event-driven scenarios. In order to maximize energy efficiency while maintaining a manageable conflict probability, this paper investigates a cross-layer design of routing and power control for multi-event-driven WSNs. We first develop a mathematical characterization of the conflict probability in multi-path routing, a...
Source: Sensors - July 19, 2023 Category: Biotechnology Authors: Huihui Xu Xiaobing Yuan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6484: The Principles of Hearable Photoplethysmography Analysis and Applications in Physiological Monitoring & ndash;A Review
Conclusions: The available evidence has revealed the future of in-ear PPG in physiological monitoring. We have also analyzed the potential limitation and challenges that in-ear PPG will face in processing the signal.
Source: Sensors - July 18, 2023 Category: Biotechnology Authors: Khalida Azudin Kok Beng Gan Rosmina Jaafar Mohd Hasni Ja ’afar Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6463: An Enhanced Flower Pollination Algorithm with Gaussian Perturbation for Node Location of a WSN
Dan Yu Localization is one of the essential problems in internet of things (IoT) and wireless sensor network (WSN) applications. However, most traditional range-free localization algorithms cannot fulfill the practical demand for high localization accuracy. Therefore, a localization algorithm based on an enhanced flower pollination algorithm (FPA) with Gaussian perturbation (EFPA-G) and the DV-Hop method is proposed.FPA is widely applied, but premature convergence still cannot be avoided. How to balance its global exploration and local exploitation capabilities still remains an outstanding problem. Therefore, the fo...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Jun Zheng Ting Yuan Wenwu Xie Zhihe Yang Dan Yu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6476: A Novel Approach for Apple Freshness Prediction Based on Gas Sensor Array and Optimized Neural Network
Wenbin Du Apple is an important cash crop in China, and the prediction of its freshness can effectively reduce its storage risk and avoid economic loss. The change in the concentration of odor information such as ethylene, carbon dioxide, and ethanol emitted during apple storage is an important feature to characterize the freshness of apples. In order to accurately predict the freshness level of apples, an electronic nose system based on a gas sensor array and wireless transmission module is designed, and a neural network prediction model using an improved Sparrow Search Algorithm (SSA) based on chaotic sequence (Tent)...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Wei Wang Weizhen Yang Maozhen Li Zipeng Zhang Wenbin Du Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6448: Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning
ori Owada Natural disasters, including earthquakes, floods, landslides, tsunamis, wildfires, and hurricanes, have become more common in recent years due to rapid climate change. For Post-Disaster Management (PDM), authorities deploy various types of user equipment (UE) for the search and rescue operation, for example, search and rescue robots, drones, medical robots, smartphones, etc., via the Internet of Robotic Things (IoRT) supported by cellular 4G/LTE/5G and beyond or other wireless technologies. For uninterrupted communication services, movable and deployable resource units (MDRUs) have been utilized where the bas...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Homayun Kabir Mau-Luen Tham Yoong Choon Chang Chee-Onn Chow Yasunori Owada Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6446: ESAMask: Real-Time Instance Segmentation Fused with Efficient Sparse Attention
Jie Ren Instance segmentation is a challenging task in computer vision, as it requires distinguishing objects and predicting dense areas. Currently, segmentation models based on complex designs and large parameters have achieved remarkable accuracy. However, from a practical standpoint, achieving a balance between accuracy and speed is even more desirable. To address this need, this paper presents ESAMask, a real-time segmentation model fused with efficient sparse attention, which adheres to the principles of lightweight design and efficiency. In this work, we propose several key contributions. Firstly, we introduce ...
Source: Sensors - July 16, 2023 Category: Biotechnology Authors: Qian Zhang Lu Chen Mingwen Shao Hong Liang Jie Ren Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6432: Heuristics and Learning Models for Dubins MinMax Traveling Salesman Problem
nam This paper addresses a MinMax variant of the Dubins multiple traveling salesman problem (mTSP). This routing problem arises naturally in mission planning applications involving fixed-wing unmanned vehicles and ground robots. We first formulate the routing problem, referred to as the one-in-a-set Dubins mTSP problem (MD-GmTSP), as a mixed-integer linear program (MILP). We then develop heuristic-based search methods for the MD-GmTSP using tour construction algorithms to generate initial feasible solutions relatively fast and then improve on these solutions using variants of the variable neighborhood search (VNS) meta...
Source: Sensors - July 15, 2023 Category: Biotechnology Authors: Abhishek Nayak Sivakumar Rathinam Tags: Article Source Type: research