Filtered By:
Source: Sensors

This page shows you your search results in order of relevance. This is page number 16.

Order by Relevance | Date

Total 1395 results found since Jan 2013.

Sensors, Vol. 22, Pages 7815: Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples
g Shi Given the complexity of the operating conditions of rolling bearings in the actual rolling process of a hot mill and the difficulty in collecting data pertinent to fault bearings comprehensively, this paper proposes an approach that diagnoses the faults of a rolling mill bearing by employing the improved sparrow search algorithm deep belief network (ISAA-DBN) with limited data samples. First, the fast spectral kurtosis approach is adopted to convert the non-stationary original vibration signals collected by the acceleration sensors installed at the axial and radial ends of the rolling mill bearings into two-dimen...
Source: Sensors - October 14, 2022 Category: Biotechnology Authors: Rongrong Peng Xingzhong Zhang Peiming Shi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7904: Virtual Reality & mdash;A Supplement to Posturography or a Novel Balance Assessment Tool?
Sensors, Vol. 22, Pages 7904: Virtual Reality—A Supplement to Posturography or a Novel Balance Assessment Tool? Sensors doi: 10.3390/s22207904 Authors: Oskar Rosiak Anna Puzio Dorota Kaminska Grzegorz Zwolinski Magdalena Jozefowicz-Korczynska Virtual reality (VR) is a well-established technology in medicine. Head-mounted displays (HMDs) have made VR more accessible in many branches of medical research. However, its application in balance evaluation has been vague, and comprehensive literature on possible applications of VR in posture measurement is scarce. The aim of this review is to conduct a li...
Source: Sensors - October 17, 2022 Category: Biotechnology Authors: Oskar Rosiak Anna Puzio Dorota Kaminska Grzegorz Zwolinski Magdalena Jozefowicz-Korczynska Tags: Communication Source Type: research

Sensors, Vol. 22, Pages 8657: A Novel Fuzzy Controller for Visible-Light Camera Using RBF-ANN: Enhanced Positioning and Autofocusing
qing Chen To obtain high-precision for focal length fitting and improve the visible-light camera autofocusing speed, simultaneously, the backlash caused by gear gaps is eliminated. We propose an improved RBF (Radical Basis Function) adaptive neural network (ANN) FUZZY PID (Proportional Integral Derivative) position closed-loop control algorithm to achieve the precise positioning of zoom and focus lens groups. Thus, the Levenberg–Marquardt iterative algorithm is used to fit the focal length, and the improved area search algorithm is applied to achieve autofocusing and eliminate backlash. In this paper, we ...
Source: Sensors - November 9, 2022 Category: Biotechnology Authors: Junpeng Zhou Letang Xue Yan Li Lihua Cao Changqing Chen Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9513: Improving Convergence Speed of Bat Algorithm Using Multiple Pulse Emissions Along Multiple Directions
med ElAffendi Metaheuristic algorithms are effectively used in searching some optical solution space. for optical solution. It is basically the type of local search generalization that can provide useful solutions for issues related to optimization. Several benefits are associated with this type of algorithms due to that such algorithms can be better to solve many issues in an effective way. To provide fast and accurate solutions to huge range of complex issues is one main benefit metaheuristic algorithms. Some metaheuristic algorithms are effectively used to classify the problems and BAT Algorithm (BA) is one of them ...
Source: Sensors - December 5, 2022 Category: Biotechnology Authors: Waqar Younas Gauhar Ali Naveed Ahmad Qamar Abbas Muhammad Talha Masood Asim Munir Mohammed ElAffendi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9822: Comfort Prediction of Office Chair Surface Material Based on the ISSA-LSSVM
This study serves the purpose of assisting users in selecting a comfortable seat surface material for office chairs and enhancing users’ comfort while using office chairs. To address the issue that the selection of traditional seat surface material is too subjective and that the prediction effect is poor, an improved sparrow search algorithm (ISSA) optimized least squares support vector machine (LSSVM) method for office chair seat surface material comfort prediction has been proposed. Sparrow Search Algorithm (SSA) was optimized with Sobol sequences, nonlinear inertial weights, and a crisscross optimization a...
Source: Sensors - December 14, 2022 Category: Biotechnology Authors: Xuyinglong Zhang Zilian Cheng Mengyang Zhang Xiaodong Zhu Xianquan Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9921: Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction
ozniak Currently, analysts in a variety of nations have developed various WSN clustering protocols. The major characteristic is the Low Energy Adaptive Clustering Hierarchy (LEACH), which attained the objective of energy balance by sporadically varying the Cluster Heads (CHs) in the region. Nevertheless, because it implements an arbitrary number system, the appropriateness of CH is complete with suspicions. In this paper, an optimal cluster head selection (CHS) model is developed regarding secure and energy-aware routing in the Wireless Sensor Network (WSN). Here, optimal CH is preferred based on distance, energy, secu...
Source: Sensors - December 16, 2022 Category: Biotechnology Authors: Sasikumar Gurumoorthy Parimella Subhash Rocio P érez de Prado Marcin Wozniak Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1815: Generated Image Editing Method Based on Global-Local Jacobi Disentanglement for Machine Learning
en Chen Accurate semantic editing of the generated images is extremely important for machine learning and sample enhancement of big data. Aiming at the problem of semantic entanglement in generated image latent space of the StyleGAN2 network, we proposed a generated image editing method based on global-local Jacobi disentanglement. In terms of global disentanglement, we extract the weight matrix of the style layer in the pre-trained StyleGAN2 network; obtain the semantic attribute direction vector by using the weight matrix eigen decomposition method; finally, utilize this direction vector as the initialization vector ...
Source: Sensors - February 6, 2023 Category: Biotechnology Authors: Jianlong Zhang Xincheng Yu Bin Wang Chen Chen Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 2453: Improved BDS-2/3 Satellite Ultra-Fast Clock Bias Prediction Based With the SSA-ELM Model
This study uses ultra-fast SCB data from the international GNSS monitoring assessment system (iGMAS) to perform experiments. First, the second difference method is used to evaluate the accuracy and stability of the used data, demonstrating that the accuracy between observed data (ISUO) and predicted data (ISUP) of the ultra-fast clock (ISU) products is optimal. Moreover, the accuracy and stability of the new rubidium (Rb-II) clock and hydrogen (PHM) clock onboard BDS-3 are superior to those of BDS-2, and the choice of different reference clocks affects the accuracy of SCB. Then, SSA-ELM, quadratic polynomial (QP), and a gr...
Source: Sensors - February 22, 2023 Category: Biotechnology Authors: Ya Zhao Liu Chen Liu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3834: A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation
Banfu Yan Digital image-correlation (DIC) algorithms rely heavily on the accuracy of the initial values provided by whole-pixel search algorithms for structural displacement monitoring. When the measured displacement is too large or exceeds the search domain, the calculation time and memory consumption of the DIC algorithm will increase greatly, and even fail to obtain the correct result. The paper introduced two edge-detection algorithms, Canny and Zernike moments in digital image-processing (DIP) technology, to perform geometric fitting and sub-pixel positioning on the specific pattern target pasted on the measuremen...
Source: Sensors - April 8, 2023 Category: Biotechnology Authors: Ruixiang Tang Wenbing Chen Yousong Wu Hongbin Xiong Banfu Yan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3988: Indoor Robot Path Planning Using an Improved Whale Optimization Algorithm
Li An improved whale optimization algorithm is proposed to solve the problems of the original algorithm in indoor robot path planning, which has slow convergence speed, poor path finding ability, low efficiency, and is easily prone to falling into the local shortest path problem. First, an improved logistic chaotic mapping is applied to enrich the initial population of whales and improve the global search capability of the algorithm. Second, a nonlinear convergence factor is introduced, and the equilibrium parameter A is changed to balance the global and local search capabilities of the algorithm and improve the searc...
Source: Sensors - April 14, 2023 Category: Biotechnology Authors: Qing Si Changyong Li Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4792: A Hybrid Feature Selection and Multi-Label Driven Intelligent Fault Diagnosis Method for Gearbox
g Jiang Gearboxes are utilized in practically all complicated machinery equipment because they have great transmission accuracy and load capacities, so their failure frequently results in significant financial losses. The classification of high-dimensional data remains a difficult topic despite the fact that numerous data-driven intelligent diagnosis approaches have been suggested and employed for compound fault diagnosis in recent years with successful outcomes. In order to achieve the best diagnostic performance as the ultimate objective, a feature selection and fault decoupling framework is proposed in this paper. T...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Di Liu Xiangfeng Zhang Zhiyu Zhang Hong Jiang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5751: Lane Detection Algorithm in Curves Based on Multi-Sensor Fusion
Jiang Identifying lane markings is a key technology in assisted driving and autonomous driving. The traditional sliding window lane detection algorithm has good detection performance in straight lanes and curves with small curvature, but its detection and tracking performance is poor in curves with larger curvature. Large curvature curves are common scenes in traffic roads. Therefore, in response to the problem of poor lane detection performance of traditional sliding window lane detection algorithms in large curvature curves, this article improves the traditional sliding window algorithm and proposes a sliding window ...
Source: Sensors - June 20, 2023 Category: Biotechnology Authors: Qiang Zhang Jianze Liu Xuedong Jiang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6303: Multi-Objective Optimization Method for Signalized Intersections in Intelligent Traffic Network
Rui Men Urban intersections are one of the most common sources of traffic congestion. Especially for multiple intersections, an appropriate control method should be able to regulate the traffic flow within the control area. The intersection signal-timing problem is crucial for ensuring efficient traffic operations, with the key issues being the determination of a traffic model and the design of an optimization algorithm. So, an optimization method for signalized intersections integrating a multi-objective model and an NSGAIII-DAE algorithm is established in this paper. Firstly, the multi-objective model is constructe...
Source: Sensors - July 11, 2023 Category: Biotechnology Authors: Xinghui Zhang Xiumei Fan Shunyuan Yu Axida Shan Rui Men Tags: Article 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 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