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Total 1478 results found since Jan 2013.

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

Sensors, Vol. 18, Pages 585: A Single RF Emitter-Based Indoor Navigation Method for Autonomous Service Robots
enbin Dai Location-aware services are one of the key elements of modern intelligent applications. Numerous real-world applications such as factory automation, indoor delivery, and even search and rescue scenarios require autonomous robots to have the ability to navigate in an unknown environment and reach mobile targets with minimal or no prior infrastructure deployment. This research investigates and proposes a novel approach of dynamic target localisation using a single RF emitter, which will be used as the basis of allowing autonomous robots to navigate towards and reach a target. Through the use of multiple directi...
Source: Sensors - February 14, 2018 Category: Biotechnology Authors: Tyrone Sherwin Mikala Easte Andrew Chen Kevin Wang Wenbin Dai Tags: Article Source Type: research

Sensors, Vol. 18, Pages 4000: An Efficient Algorithm for Partial Discharge Localization in High-Voltage Systems Using Received Signal Strength
Ian A. Glover The term partial discharge (PD) refers to a partial bridging of insulating material between electrodes that sustain an electric field in high-voltage (HV) systems. Long-term PD activity can lead to catastrophic failures of HV systems resulting in economic, energy and even human life losses. Such failures and losses can be avoided by continuously monitoring PD activity. Existing techniques used for PD localization including time of arrival (TOA) and time difference of arrival (TDOA), are complicated and expensive because they require time synchronization. In this paper, a novel received signal strength (R...
Source: Sensors - November 16, 2018 Category: Biotechnology Authors: Umar F. Khan Pavlos I. Lazaridis Hamd Mohamed Ricardo Albarrac ín Zaharias D. Zaharis Robert C. Atkinson Christos Tachtatzis Ian A. Glover Tags: Article Source Type: research

Sensors, Vol. 19, Pages 2573: Cerebral Small Vessel Disease Biomarkers Detection on MRI-Sensor-Based Image and Deep Learning
-Chun Hsieh Magnetic resonance imaging (MRI) offers the most detailed brain structure image available today; it can identify tiny lesions or cerebral cortical abnormalities. The primary purpose of the procedure is to confirm whether there is structural variation that causes epilepsy, such as hippocampal sclerotherapy, local cerebral cortical dysplasia, and cavernous hemangioma. Cerebrovascular disease, the second most common factor of death in the world, is also the fourth leading cause of death in Taiwan, with cerebrovascular disease having the highest rate of stroke. Among the most common are large vascular atheroscl...
Source: Sensors - June 5, 2019 Category: Biotechnology Authors: Yi-Zeng Hsieh Yu-Cin Luo Chen Pan Mu-Chun Su Chi-Jen Chen Kevin Li-Chun Hsieh Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2168: Augmenting Image-Guided Procedures through In Situ Visualization of 3D Ultrasound via a Head-Mounted Display
is Ernst Medical ultrasound (US) is a commonly used modality for image-guided procedures. Recent research systems providing an in situ visualization of 2D US images via an augmented reality (AR) head-mounted display (HMD) were shown to be advantageous over conventional imaging through reduced task completion times and improved accuracy. In this work, we continue in the direction of recent developments by describing the first AR HMD application visualizing real-time volumetric (3D) US in situ for guiding vascular punctures. We evaluated the application on a technical level as well as in a mixed-methods user study with a...
Source: Sensors - February 15, 2023 Category: Biotechnology Authors: Felix von Haxthausen Christoph R üger Malte Maria Sieren Roman Kloeckner Floris Ernst Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4031: An Image Information-Based Objective Assessment Method of Technical Manipulation Skills for Intravascular Interventions
ang Guo The clinical success of vascular interventional surgery relies heavily on a surgeon’s catheter/guidewire manipulation skills and strategies. An objective and accurate assessment method plays a critical role in evaluating the surgeon’s technical manipulation skill level. Most of the existing evaluation methods incorporate the use of information technology to find more objective assessment models based on various metrics. However, in these models, sensors are often attached to the surgeon’s hands or to interventional devices for data collection, which constrains the surge...
Source: Sensors - April 16, 2023 Category: Biotechnology Authors: Jin Guo Maoxun Li Yue Wang Shuxiang Guo Tags: Article Source Type: research

Sensors, Vol. 15, Pages 18402-18415: A Novel Speed Compensation Method for ISAR Imaging with Low SNR
In this paper, two novel speed compensation algorithms for ISAR imaging under a low signal-to-noise ratio (SNR) condition have been proposed, which are based on the cubic phase function (CPF) and the integrated cubic phase function (ICPF), respectively. These two algorithms can estimate the speed of the target from the wideband radar echo directly, which breaks the limitation of speed measuring in a radar system. With the utilization of non-coherent accumulation, the ICPF-based speed compensation algorithm is robust to noise and can meet the requirement of speed compensation for ISAR imaging under a low SNR condition. More...
Source: Sensors - July 28, 2015 Category: Biotechnology Authors: Yongxiang LiuShuanghui ZhangDekang ZhuXiang Li Tags: Article Source Type: research