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Total 2011 results found since Jan 2013.

Sensors, Vol. 23, Pages 5047: GWO-Based Multi-Stage Algorithm for PMDC Motor Parameter Estimation
This article introduces a method for determining the parameters of a PMDC motor. The proposed method performs an initial estimation of the range of searched parameters to shorten the estimation time of the bioinspired optimization algorithm.
Source: Sensors - May 24, 2023 Category: Biotechnology Authors: Adam Pawlowski Maciej Ciezkowski Slawomir Romaniuk Zbigniew Kulesza Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4853: Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends
eigal In the age of neural networks and the Internet of Things (IoT), the search for new neural network architectures capable of operating on devices with limited computing power and small memory size is becoming an urgent agenda [...]
Source: Sensors - May 18, 2023 Category: Biotechnology Authors: Andrei Velichko Dmitry Korzun Alexander Meigal Tags: Editorial Source Type: research

Sensors, Vol. 23, Pages 4814: Implementation of a Real-Time Object Pick-and-Place System Based on a Changing Strategy for Rapidly-Exploring Random Tree
ng Feng An object pick-and-place system with a camera, a six-degree-of-freedom (DOF) robot manipulator, and a two-finger gripper is implemented based on the robot operating system (ROS) in this paper. A collision-free path planning method is one of the most fundamental problems that has to be solved before the robot manipulator can autonomously pick-and-place objects in complex environments. In the implementation of the real-time pick-and-place system, the success rate and computing time of path planning by a six-DOF robot manipulator are two essential key factors. Therefore, an improved rapidly-exploring random tree (...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Ching-Chang Wong Chong-Jia Chen Kai-Yi Wong Hsuan-Ming Feng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4810: A Direct Immunoassay Based on Surface-Enhanced Spectroscopy Using AuNP/PS-b-P2VP Nanocomposites
G. Brolo A biosensor was developed for directly detecting human immunoglobulin G (IgG) and adenosine triphosphate (ATP) based on stable and reproducible gold nanoparticles/polystyrene-b-poly(2-vinylpyridine) (AuNP/PS-b-P2VP) nanocomposites. The substrates were functionalized with carboxylic acid groups for the covalent binding of anti-IgG and anti-ATP and the detection of IgG and ATP (1 to 150 μg/mL). SEM images of the nanocomposite show 17 ± 2 nm AuNP clusters adsorbed over a continuous porous PS-b-P2VP thin film. UV–VIS and SERS were used to characterize each step of the substr...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Moyra F. Vieira Ana L ívia de Carvalho Bovolato Bruno G. da Fonseca Celly M. S. Izumi Alexandre G. Brolo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4799: A Comparison of Multiple Odor Source Localization Algorithms
ozhou Gao There are two primary algorithms for autonomous multiple odor source localization (MOSL) in an environment with turbulent fluid flow: Independent Posteriors (IP) and Dempster–Shafer (DS) theory algorithms. Both of these algorithms use a form of occupancy grid mapping to map the probability that a given location is a source. They have potential applications to assist in locating emitting sources using mobile point sensors. However, the performance and limitations of these two algorithms is currently unknown, and a better understanding of their effectiveness under various conditions is required pr...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Marshall Staples Chris Hugenholtz Alex Serrano-Ramirez Thomas E. Barchyn Mozhou Gao 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 4783: Improving Hazardous Gas Detection Behavior with Palladium Decorated SnO2 Nanobelts Networks
A. Amorim Transparent Conductive Oxides (TCOs) have been widely used as sensors for various hazardous gases. Among the most studied TCOs is SnO2, due to tin being an abundant material in nature, and therefore being accessible for moldable-like nanobelts. Sensors based on SnO2 nanobelts are generally quantified according to the interaction of the atmosphere with its surface, changing its conductance. The present study reports on the fabrication of a nanobelt-based SnO2 gas sensor, in which electrical contacts to nanobelts are self-assembled, and thus the sensors do not need any expensive and complicated fabrication pro...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Est ácio P. de Araújo Murilo P. Paiva Lucas A. Mois és Gabriel S. do Esp írito Santo Kate C. Blanco Adenilson J. Chiquito Cleber A. Amorim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4736: Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors
This study proposes a new method for robust SLAM and tree mapping using low-resolution LiDAR sensors in forestry conditions. Our method relies on tree detection to perform scan registration and pose correction using only low-resolution LiDAR sensors (16Ch, 32Ch) or narrow field of view Solid State LiDARs without additional sensory modalities like GPS or IMU. We evaluate our approach on three datasets, including two private and one public dataset, and demonstrate improved navigation accuracy, scan registration, tree localization, and tree diameter estimation compared to current approaches in forestry machine automation. Our...
Source: Sensors - May 14, 2023 Category: Biotechnology Authors: Himanshu Gupta Henrik Andreasson Achim J. Lilienthal Polina Kurtser Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4659: Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
Huachun Tan In advanced transportation-management systems, variable speed limits are a crucial application. Deep reinforcement learning methods have been shown to have superior performance in many applications, as they are an effective approach to learning environment dynamics for decision-making and control. However, they face two significant difficulties in traffic-control applications: reward engineering with delayed reward and brittle convergence properties with gradient descent. To address these challenges, evolutionary strategies are well suited as a class of black-box optimization techniques inspired by natural ...
Source: Sensors - May 11, 2023 Category: Biotechnology Authors: Jianshuai Feng Tianyu Shi Yuankai Wu Xiang Xie Hongwen He Huachun Tan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4629: Highly Activated Neuronal Firings Monitored by Implantable Microelectrode Array in the Paraventricular Thalamus of Insomnia Rats
ao Ying Wang Xinxia Cai Insomnia is a common sleep disorder around the world, which is harmful to people’s health, daily life, and work. The paraventricular thalamus (PVT) plays an essential role in the sleep–wake transition. However, high temporal-spatial resolution microdevice technology is lacking for accurate detection and regulation of deep brain nuclei. The means for analyzing sleep–wake mechanisms and treating sleep disorders are limited. To detect the relationship between the PVT and insomnia, we designed and fabricated a special microelectrode array (MEA) to record...
Source: Sensors - May 10, 2023 Category: Biotechnology Authors: Jin Shan Yilin Song Yiding Wang Penghui Fan Botao Lu Jinping Luo Wei Xu Luyi Jing Fan Mo Ruilin Hu Yan Luo Gang Mao Ying Wang Xinxia Cai Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4603: NanoFN10: A High-Contrast Turn-On Fluorescence Nanoprobe for Multiphoton Singlet Oxygen Imaging
nti Nonell An “off-on” fluorescent nanoprobe for near-infrared multiphoton imaging of singlet oxygen has been developed. The nanoprobe comprises a naphthoxazole fluorescent unit and a singlet-oxygen-sensitive furan derivative attached to the surface of mesoporous silica nanoparticles. In solution, the fluorescence of the nanoprobe increases upon reaction with singlet oxygen both under one- and multiphoton excitation, with fluorescence enhancements up to 180-fold. The nanoprobe can be readily internalized by macrophage cells and is capable of imaging intracellular singlet oxygen under multiphoton excitation.
Source: Sensors - May 9, 2023 Category: Biotechnology Authors: Renzo P. Zanocco Roger Bresol í-Obach Francisco N ájera Ezequiel P érez-Inestrosa Antonio L. Zanocco Else Lemp Santi Nonell Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4536: 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
ofeng Gao Direction of arrival (DOA) estimation for conformal arrays is challenging due to non-omnidirectional element patterns and shadow effects. Conical conformal array (CCA) can avoid the shadow effect at small elevation angles. So CCA is suitable for DOA estimation on both azimuth and elevation angles at small elevation angles. However, the element pattern in CCA cannot be obtained by conventional directional element coordinate transformation. Its local element pattern also has connection with the cone angle. The paper establishes the CCA radiation pattern in local coordinate system using 2-D coordinate transforma...
Source: Sensors - May 6, 2023 Category: Biotechnology Authors: Hongyun Zhang Ping Li Guangwei Zhang Guolin Li Xiaofeng Gao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4480: Dam Safety Evaluation Method after Extreme Load Condition Based on Health Monitoring and Deep Learning
This study proposes a novel data-driven fusion model for a dam safety evaluation after extreme load based on monitoring data derived by sensors. First, the relationship between dam environmental quantity and effect quantity is deeply excavated based on bidirectional long short-term memory (BiLSTM) network, which is a deeply improved LSTM model. Aiming at the parameter optimization problem of BiLSTM model, sparrow search algorithm (SSA), which is an advanced optimization algorithm, is integrated. Second, conducting the constructed SSA-BiLSTM model to estimate the change law of dam effect quantity after the extreme load. Fin...
Source: Sensors - May 4, 2023 Category: Biotechnology Authors: Jintao Song Yunhe Liu Jie Yang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4440: Detection, Location, and Classification of Multiple Dipole-like Magnetic Sources Based on L2 Norm of the Vertical Magnetic Gradient Tensor Data
en Wang In recent years, there has been a growing interest in the detection, location, and classification (DLC) of multiple dipole-like magnetic sources based on magnetic gradient tensor (MGT) data. In these applications, the tilt angle is usually used to detect the number of sources. We found that the tilt angle is only suitable for the scenario where the positive and negative signs of the magnetic sources’ inclination are the same. Therefore, we map the L2 norm of the vertical magnetic gradient tensor on the arctan function, denoted as the VMGT2 angle, to detect the number of sources. Then we use the no...
Source: Sensors - May 1, 2023 Category: Biotechnology Authors: Lin Ge Qi Han Xiaojun Tong Yizhen Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4411: Magnetic Particle Spectroscopy for Point-of-Care: A Review on Recent Advances
Wang Kai Wu Since its first report in 2006, magnetic particle spectroscopy (MPS)-based biosensors have flourished over the past decade. Currently, MPS are used for a wide range of applications, such as disease diagnosis, foodborne pathogen detection, etc. In this work, different MPS platforms, such as dual-frequency and mono-frequency driving field designs, were reviewed. MPS combined with multi-functional magnetic nanoparticles (MNPs) have been extensively reported as a versatile platform for the detection of a long list of biomarkers. The surface-functionalized MNPs serve as nanoprobes that specifically bind and la...
Source: Sensors - April 30, 2023 Category: Biotechnology Authors: Parsa Yari Bahareh Rezaei Clifton Dey Vinit Kumar Chugh Naga Venkata Ravi Kumar Veerla Jian-Ping Wang Kai Wu Tags: Review Source Type: research