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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 6261: Optimized Back Propagation Neural Network Using Quasi-Oppositional Learning-Based African Vulture Optimization Algorithm for Data Fusion in Wireless Sensor Networks
s A Wireless Sensor Network (WSN) is a group of autonomous sensors geographically distributed for environmental monitoring and tracking purposes. Since the sensors in the WSN have limited battery capacity, the energy efficiency is considered a challenging task because of redundant data transmission and inappropriate routing paths. In this research, a Quasi-Oppositional Learning (QOL)-based African Vulture Optimization Algorithm (AVOA), referred to as QAVOA, is proposed for an effective data fusion and cluster-based routing in a WSN. The QAVOA-based Back Propagation Neural Network (BPNN) is developed to optimize the wei...
Source: Sensors - July 9, 2023 Category: Biotechnology Authors: Alaa A. Qaffas Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6231: Intelligent Drone Positioning via BIC Optimization for Maximizing LPWAN Coverage and Capacity in Suburban Amazon Environments
ºjo This paper aims to provide a metaheuristic approach to drone array optimization applied to coverage area maximization of wireless communication systems, with unmanned aerial vehicle (UAV) base stations, in the context of suburban, lightly to densely wooded environments present in cities of the Amazon region. For this purpose, a low-power wireless area network (LPWAN) was analyzed and applied. LPWAN are systems designed to work with low data rates but keep, or even enhance, the extensive area coverage provided by high-powered networks. The type of LPWAN chosen is LoRa, which operates at an unlicensed spectrum of 915...
Source: Sensors - July 7, 2023 Category: Biotechnology Authors: Fl ávio Henry Cunha da Silva Ferreira Mi ércio Cardoso de Alcântara Neto Fabr ício José Brito Barros Jasmine Priscyla Leite de Ara újo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6222: Acoustic Lung Imaging Utilized in Continual Assessment of Patients with Obstructed Airway: A Systematic Review
Ali Imran Smart respiratory therapy is enabled by continual assessment of lung functions. This systematic review provides an overview of the suitability of equipment-to-patient acoustic imaging in continual assessment of lung conditions. The literature search was conducted using Scopus, PubMed, ScienceDirect, Web of Science, SciELO Preprints, and Google Scholar. Fifteen studies remained for additional examination after the screening process. Two imaging modalities, lung ultrasound (LUS) and vibration imaging response (VRI), were identified. The most common outcome obtained from eleven studies was positive observations ...
Source: Sensors - July 7, 2023 Category: Biotechnology Authors: Chang-Sheng Lee Minghui Li Yaolong Lou Qammer H. Abbasi Muhammad Ali Imran Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6215: Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds
Chao Wang Infrared small-target enhancement in complex contexts is one of the key technologies for infrared search and tracking systems. The effect of enhancement directly determines the reliability of the monitoring equipment. To address the problem of the low signal-to-noise ratio of small infrared moving targets in complex backgrounds and the poor effect of traditional enhancement algorithms, an accurate enhancement method for small infrared moving targets based on two-channel information is proposed. For a single frame, a modified curvature filter is used in the A channel to weaken the background while an improve...
Source: Sensors - July 7, 2023 Category: Biotechnology Authors: Yingchao Li Lianji Ma Shuai Yang Qiang Fu Hongyu Sun Chao Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6214: Transmission Line-Planning Method Based on Adaptive Resolution Grid and Improved Dijkstra Algorithm
uiqing Xu An improved Dijkstra algorithm based on adaptive resolution grid (ARG) is proposed to assist manual transmission line planning, shorten the construction period and achieve lower cost and higher efficiency of line selection. Firstly, the semantic segmentation network is used to change the remote sensing image into a ground object-identification image and the grayscale image of the ground object-identification image is rasterized. The ARG map model is introduced to greatly reduce the number of redundant grids, which can effectively reduce the time required to traverse the grids. Then, the Dijkstra algorithm is ...
Source: Sensors - July 7, 2023 Category: Biotechnology Authors: Guojun Nan Zhuo Liu Haibo Du Wenwu Zhu Shuiqing Xu Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 6119: Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications
Regazzoni Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR produces highly accurate 3D point clouds, which are vital for the detection, classification, and tracking of multiple targets. A systematic review and classification of various clustering and Multi-Target Tracking (MTT) techniques are necessary due to the inherent challenges posed by LiDAR data, such as density, noise, and varying sampling rates. As part of this study, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses ...
Source: Sensors - July 3, 2023 Category: Biotechnology Authors: Muhammad Adnan Giulia Slavic David Martin Gomez Lucio Marcenaro Carlo Regazzoni Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6101: An Improved Distributed Sampling PPO Algorithm Based on Beta Policy for Continuous Global Path Planning Scheme
n Zhang Traditional path planning is mainly utilized for path planning in discrete action space, which results in incomplete ship navigation power propulsion strategies during the path search process. Moreover, reinforcement learning experiences low success rates due to its unbalanced sample collection and unreasonable design of reward function. In this paper, an environment framework is designed, which is constructed using the Box2D physics engine and employs a reward function, with the distance between the agent and arrival point as the main, and the potential field superimposed by boundary control, obstacles, and ar...
Source: Sensors - July 2, 2023 Category: Biotechnology Authors: Qianhao Xiao Li Jiang Manman Wang Xin Zhang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6082: Particle Swarm Algorithm Path-Planning Method for Mobile Robots Based on Artificial Potential Fields
In this study, an artificial potential field-based particle swarm algorithm (apfrPSO) was proposed. First, the method generates robot planning paths by adjusting the inertia weight parameter and ranking the position vector of particles (rPSO), and second, the artificial potential field method is introduced. Through comparative numerical experiments with other state-of-the-art algorithms, the results show that the algorithm proposed was very competitive.
Source: Sensors - July 1, 2023 Category: Biotechnology Authors: Li Zheng Wenjie Yu Guangxu Li Guangxu Qin Yunchuan Luo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5983: Radiation Source Localization Using a Model-Based Approach
mozi The procedure is practically an optimization method, during which it is assumed that the gamma dose values detected at different points above the area come from the background radiation and from a single source found in the area. Accordingly, the procedure searches within the area for a geographical coordinate for which the distance law for the spatial propagation of radiation will be true. In order to validate the procedure, we performed measurements in a test area in such a way that all parameters of the source, including its location, were well defined. However, these data were not taken into account during the...
Source: Sensors - June 27, 2023 Category: Biotechnology Authors: Andr ás Molnár Daniel Kiss Zsolt Domozi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5968: Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review
Conclusions: Standardization in the definition of these indexes is missing, both in the considered frequency bands and in the exploited electrodes. Future research may focus on the development of indexes with a unique definition to monitor and characterize mental involvement.
Source: Sensors - June 27, 2023 Category: Biotechnology Authors: Ilaria Marcantoni Raffaella Assogna Giulia Del Borrello Marina Di Stefano Martina Morano Sofia Romagnoli Chiara Leoni Giulia Bruschi Agnese Sbrollini Micaela Morettini Laura Burattini Tags: Review Source Type: research

Sensors, Vol. 23, Pages 5940: A Suboptimal Optimizing Strategy for Velocity Vector Estimation in Single-Observer Passive Localization
In this study, we introduce a novel optimization strategy, suboptimal estimation, for independently estimating the velocity vector in single-observer passive localization. The suboptimal estimation strategy converts the estimation of the velocity vector into a search for the global optimal solution by dynamically weighting multiple optimization criteria from the starting point in the solution space. Simulation verification is conducted using uniform motion and constant acceleration models. The results demonstrate that the proposed method converges faster with higher accuracy and strong robustness.
Source: Sensors - June 26, 2023 Category: Biotechnology Authors: Shuyi Gu Zhenghua Luo Yingjun Chu Yanghui Xu Junxiong Guo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5881: Co-Design Dedicated System for Efficient Object Tracking Using Swarm Intelligence-Oriented Search Strategies
Varsha Arya The template matching technique is one of the most applied methods to find patterns in images, in which a reduced-size image, called a target, is searched within another image that represents the overall environment. In this work, template matching is used via a co-design system. A hardware coprocessor is designed for the computationally demanding step of template matching, which is the calculation of the normalized cross-correlation coefficient. This computation allows invariance in the global brightness changes in the images, but it is computationally more expensive when using images of larger dimensions,...
Source: Sensors - June 25, 2023 Category: Biotechnology Authors: Nadia Nedjah Alexandre V. Cardoso Yuri M. Tavares Luiza de Macedo Mourelle Brij Booshan Gupta Varsha Arya Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5873: Wind Turbine Condition Monitoring Using the SSA-Optimized Self-Attention BiLSTM Network and Changepoint Detection Algorithm
In this study, based on the sparrow search algorithm (SSA), bidirectional long short-term memory networks with a self-attention mechanism (SABiLSTM), and a binary segmentation changepoint detection algorithm (BinSegCPD), a condition-monitoring method (SSA-SABiLSTM-BinSegCPD, SSD) used for wind turbines is proposed. Specifically, the self-attention mechanism, which can mine the nonlinear dynamic characteristics and spatial–temporal features inherent in the SCADA time series, was introduced into a two-layer BiLSTM network to establish a normal-behavior model for wind turbine key components. Then, as a result of...
Source: Sensors - June 25, 2023 Category: Biotechnology Authors: Junshuai Yan Yongqian Liu Li Li Xiaoying Ren Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5862: Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things
Conclusions: The results proved that the proposed approach outperforms state-of-the-art HAR techniques, achieving an average performance of 97.82% in accuracy and a reduction ratio in feature selection of 52.7%.
Source: Sensors - June 24, 2023 Category: Biotechnology Authors: Asmaa M. Khalid Doaa Sami Khafaga Eman Abdullah Aldakheel Khalid M. Hosny Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5854: A Light-Weight Artificial Neural Network for Recognition of Activities of Daily Living
dez Human activity recognition (HAR) is essential for the development of robots to assist humans in daily activities. HAR is required to be accurate, fast and suitable for low-cost wearable devices to ensure portable and safe assistance. Current computational methods can achieve accurate recognition results but tend to be computationally expensive, making them unsuitable for the development of wearable robots in terms of speed and processing power. This paper proposes a light-weight architecture for recognition of activities using five inertial measurement units and four goniometers attached to the lower limb. First, a...
Source: Sensors - June 24, 2023 Category: Biotechnology Authors: Samer A. Mohamed Uriel Martinez-Hernandez Tags: Article Source Type: research