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Total 1478 results found since Jan 2013.

Sensors, Vol. 22, Pages 1999: A Multipopulation Dynamic Adaptive Coevolutionary Strategy for Large-Scale Complex Optimization Problems
Zhang In this paper, a multipopulation dynamic adaptive coevolutionary strategy is proposed for large-scale optimization problems, which can dynamically and adaptively adjust the connection between population particles according to the optimization problem characteristics. Based on analysis of the network evolution characteristics of collaborative search between particles, a dynamic adaptive evolutionary network (DAEN) model with multiple interconnection couplings is established in this algorithm. In the model, the swarm type is divided according to the judgment threshold of particle types, and the dynamic evolution of...
Source: Sensors - March 4, 2022 Category: Biotechnology Authors: Yanlei Yin Lihua Wang Litong Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2243: Reported Outcome Measures in Studies of Real-World Ambulation in People with a Lower Limb Amputation: A Scoping Review
ag Background: The rapidly increasing use of wearable technology to monitor free-living ambulatory behavior demands to address to what extent the chosen outcome measures are representative for real-world situations. This scoping review aims to provide an overview of the purpose of use of wearable activity monitors in people with a Lower Limb Amputation (LLA) in the real world, to identify the reported outcome measures, and to evaluate to what extent the reported outcome measures capture essential information from real-world ambulation of people with LLA. Methods: The literature search included a search in three databas...
Source: Sensors - March 14, 2022 Category: Biotechnology Authors: Mirjam Mellema Terje Gj øvaag Tags: Review Source Type: research

Sensors, Vol. 22, Pages 3979: Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm
Xiaoqi Dong The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve the above problems, an independent component analysis method based on the double-mutant butterfly optimization algorithm (DMBOA) is proposed in this paper. The proposed method employs the kurtosis of the signal as the objective function. By optimizing the objective function, blind source separation of the signals is realized. Based on the original butterfly opt...
Source: Sensors - May 24, 2022 Category: Biotechnology Authors: Qingyu Xia Yuanming Ding Ran Zhang Minti Liu Huiting Zhang Xiaoqi Dong Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4492: CFHBA-PID Algorithm: Dual-Loop PID Balancing Robot Attitude Control Algorithm Based on Complementary Factor and Honey Badger Algorithm
In conclusion, the CFHBA-PID algorithm has great control and significant results when applied to the balancing robot.
Source: Sensors - June 14, 2022 Category: Biotechnology Authors: Jianan Lin Rongjia Zheng Yirong Zhang Jinkai Feng Wei Li Kaiqing Luo Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5216: Neural Network Based IRSs-UEs Association and IRSs Optimal Placement in Multi IRSs Aided Wireless System
Fratu Implementing intelligent reflecting surfaces (IRSs), in high frequency based beyond 5G networks, has become a necessity to overcome the harsh blockage issues that exist in these bands. IRSs can supply user equipment (UEs) with multi alternative virtual line of sight (LOS) links, hence enhancing the spectral efficiency (SE) of the system. As a result of deploying multi IRSs as communication assistants, the step of IRSs-UEs association is required to optimally assign each UE to its best IRS; consideration of the interference between different links is needed, to maximize the system performance. However, this proces...
Source: Sensors - July 12, 2022 Category: Biotechnology Authors: Ahmed M. Nor Simona Halunga Octavian Fratu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5232: UAV Path Planning Algorithm Based on Improved Harris Hawks Optimization
ingyu Xia In the Unmanned Aerial Vehicle (UAV) system, finding a flight planning path with low cost and fast search speed is an important problem. However, in the complex three-dimensional (3D) flight environment, the planning effect of many algorithms is not ideal. In order to improve its performance, this paper proposes a UAV path planning algorithm based on improved Harris Hawks Optimization (HHO). A 3D mission space model and a flight path cost function are first established to transform the path planning problem into a multidimensional function optimization problem. HHO is then improved for path planning, where th...
Source: Sensors - July 13, 2022 Category: Biotechnology Authors: Ran Zhang Sen Li Yuanming Ding Xutong Qin Qingyu Xia Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6064: Nondestructive Classification of Maize Moldy Seeds by Hyperspectral Imaging and Optimal Machine Learning Algorithms
This study aimed to establish hyperspectral datasets using hyperspectral imaging (HSI) of maize seeds with different degrees of mildew and then classify them using spectral characteristics and machine learning algorithms. Initially, the images were processed with Otus and morphological operations. Each seed’s spectral features were extracted based on its coding, its edge, region of interest (ROI), and original pixel coding. Random forest (RF) models were optimized using the sparrow search algorithm (SSA), which is incapable of escaping the local optimum; hence, it was optimized using a modified reverse sparro...
Source: Sensors - August 13, 2022 Category: Biotechnology Authors: Yating Hu Zhi Wang Xiaofeng Li Lei Li Xigang Wang Yanlin Wei Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6147: Feature Selection Model Based on IWOA for Behavior Identification of Chicken
Ziqi Wang In order to reduce the influence of redundant features on the performance of the model in the process of accelerometer behavior recognition, and to improve the recognition accuracy of the model, this paper proposes an improved Whale Optimization algorithm with mixed strategy (IWOA) combined with the extreme gradient boosting algorithm (XGBoost) as a preferred method for chicken behavior identification features. A nine-axis inertial sensor was used to obtain the chicken behavior data. After noise reduction, the sliding window was used to extract 44 dimensional features in the time domain and frequency domain. ...
Source: Sensors - August 17, 2022 Category: Biotechnology Authors: Lihua Li Mengzui Di Hao Xue Zixuan Zhou Ziqi Wang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7502: Using Smartphones to Locate Trapped Victims in Disasters
This study transforms smartphones into indoor locating tools without extra modification or complicated program installation, considering smartphones are likely to be carried when disasters strike. The study creates a system that converts smartphones into a lifesaving tool for trapped victims and rescuers. This study employs the Bluetooth beacon in smartphones to send signals using its low power consumption feature. The signal could continue transmitting for rescuers to locate trapped victims for longer. Rescuers could use the Bluetooth function on a regular notebook computer to search such signals without any hardware impl...
Source: Sensors - October 3, 2022 Category: Biotechnology Authors: Yenpo Tai Teng-To Yu Tags: Article Source Type: research

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