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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 2076: An Improved Parameter Identification Algorithm for the Friction Model of Electro-Hydraulic Servo Systems
This study provides a feasible and highly accurate identification method for parameter identification of friction models used in electro-hydraulic servo systems.
Source: Sensors - February 12, 2023 Category: Biotechnology Authors: Jian Liao Fuming Zhou Jianbo Zheng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1984: Inception Convolution and Feature Fusion for Person Search
Leng With the rapid advancement of deep learning theory and hardware device computing capacity, computer vision tasks, such as object detection and instance segmentation, have entered a revolutionary phase in recent years. As a result, extremely challenging integrated tasks, such as person search, might develop quickly. The majority of efficient network frameworks, such as Seq-Net, are based on Faster R-CNN. However, because of the parallel structure of Faster R-CNN, the performance of re-ID can be significantly impacted by the single-layer, low resolution, and occasionally overlooked check feature diagrams retrieved ...
Source: Sensors - February 10, 2023 Category: Biotechnology Authors: Huan Ouyang Jiexian Zeng Lu Leng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1945: Ambient Dose and Dose Rate Measurement in SNOLAB Underground Laboratory at Sudbury, Ontario, Canada
-Jáuregui The paper describes a system and experimental procedure that use integrating passive detectors, such as thermoluminescent dosimeters (TLDs), for the measurement of ultra-low-level ambient dose equivalent rate values at the underground SNOLAB facility located in Sudbury, Ontario, Canada. Because these detectors are passive and can be exposed for relatively long periods of time, they can provide better sensitivity for measuring ultra-low activity levels. The final characterization of ultra-low-level ambient dose around water shielding for ongoing direct dark matter search experiments in Cube Hall at SNOLAB und...
Source: Sensors - February 9, 2023 Category: Biotechnology Authors: Victor V. Golovko Oleg Kamaev Jiansheng Sun Chris J. Jillings Pierre Gorel Eric V ázquez-Jáuregui Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1885: Controlling Upper Limb Prostheses Using Sonomyography (SMG): A Review
eng This paper presents a critical review and comparison of the results of recently published studies in the fields of human–machine interface and the use of sonomyography (SMG) for the control of upper limb prothesis. For this review paper, a combination of the keywords “Human Machine Interface”, “Sonomyography”, “Ultrasound”, “Upper Limb Prosthesis”, “Artificial Intelligence”, and “Non-Invasive Sensors” was used to search for articles on ...
Source: Sensors - February 8, 2023 Category: Biotechnology Authors: Vaheh Nazari Yong-Ping Zheng Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1881: Physical-Layer Security with Irregular Reconfigurable Intelligent Surfaces for 6G Networks
yu Bang The goal of 6G is to make far-reaching changes in communication systems with stricter demands, such as high throughput, extremely low latency, stronger security, and ubiquitous connectivity. Several promising techniques, such as reconfigurable intelligent surfaces (RISs), have been introduced to achieve these goals. An RIS is a 2D low-cost array of reflecting elements that can adjust the electromagnetic properties of an incident signal. In this paper, we guarantee secrecy by using an irregular RIS (IRIS). The main idea of an IRIS is to irregularly activate reflecting elements for a given number of RIS elements....
Source: Sensors - February 7, 2023 Category: Biotechnology Authors: Emmanuel Obeng Frimpong Bong-Hwan Oh Taehoon Kim Inkyu Bang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1865: YOLO-S: A Lightweight and Accurate YOLO-Like Network for Small Target Selection in Aerial Imagery
cci Small target detection is still a challenging task, especially when looking at fast and accurate solutions for mobile or edge applications. In this work, we present YOLO-S, a simple, fast, and efficient network. It exploits a small feature extractor, as well as skip connection, via both bypass and concatenation, and a reshape-passthrough layer to promote feature reuse across network and combine low-level positional information with more meaningful high-level information. Performances are evaluated on AIRES, a novel dataset acquired in Europe, and VEDAI, benchmarking the proposed YOLO-S architecture with four baseli...
Source: Sensors - February 7, 2023 Category: Biotechnology Authors: Alessandro Betti Mauro Tucci Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1845: A USV-UAV Cooperative Trajectory Planning Algorithm with Hull Dynamic Constraints
Yong Liu Efficient trajectory generation in complex dynamic environments remains an open problem in the operation of an unmanned surface vehicle (USV). The perception of a USV is usually interfered by the swing of the hull and the ambient weather, making it challenging to plan optimal USV trajectories. In this paper, a cooperative trajectory planning algorithm for a coupled USV-UAV system is proposed to ensure that a USV can execute a safe and smooth path as it autonomously advances through multi-obstacle maps. Specifically, the unmanned aerial vehicle (UAV) plays the role of a flight sensor, providing real-time globa...
Source: Sensors - February 7, 2023 Category: Biotechnology Authors: Tao Huang Zhe Chen Wang Gao Zhenfeng Xue Yong Liu 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 1817: Efficacy of Specific Trunk Exercises in the Balance Dysfunction of Patients with Parkinson & rsquo;s Disease: A Systematic Review and Meta-Analysis
Sensors, Vol. 23, Pages 1817: Efficacy of Specific Trunk Exercises in the Balance Dysfunction of Patients with Parkinson’s Disease: A Systematic Review and Meta-Analysis Sensors doi: 10.3390/s23041817 Authors: Remedios López-Liria Sofía Vega-Tirado María Ángeles Valverde-Martínez Andrés Calvache-Mateo Ana María Martínez-Martínez Patricia Rocamora-Pérez Parkinson’s disease (PD) is a neurodegenerative pathology classified as a movement disorder. Physical exercise within a physiotherapy program is an important element to improve postural stability, balance and mobility in or...
Source: Sensors - February 6, 2023 Category: Biotechnology Authors: Remedios L ópez-Liria Sof ía Vega-Tirado Mar ía Ángeles Valverde-Martínez Andr és Calvache-Mateo Ana Mar ía Martínez-Martínez Patricia Rocamora-P érez Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1813: Apollo: Adaptive Polar Lattice-Based Local Obstacle Avoidance and Motion Planning for Automated Vehicles
uping Yin The motion planning module is the core module of the automated vehicle software system, which plays a key role in connecting its preceding element, i.e., the sensing module, and its following element, i.e., the control module. The design of an adaptive polar lattice-based local obstacle avoidance (APOLLO) algorithm proposed in this paper takes full account of the characteristics of the vehicle’s sensing and control systems. The core of our approach mainly consists of three phases, i.e., the adaptive polar lattice-based local search space design, the collision-free path generation and the path sm...
Source: Sensors - February 6, 2023 Category: Biotechnology Authors: Yiqun Li Zong Chen Tao Wang Xiangrui Zeng Zhouping Yin Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1811: An Improved CatBoost-Based Classification Model for Ecological Suitability of Blueberries
Tao Qin Selecting the best planting area for blueberries is an essential issue in agriculture. To better improve the effectiveness of blueberry cultivation, a machine learning-based classification model for blueberry ecological suitability was proposed for the first time and its validation was conducted by using multi-source environmental features data in this paper. The sparrow search algorithm (SSA) was adopted to optimize the CatBoost model and classify the ecological suitability of blueberries based on the selection of data features. Firstly, the Borderline-SMOTE algorithm was used to balance the number of positive...
Source: Sensors - February 6, 2023 Category: Biotechnology Authors: Wenfeng Chang Xiao Wang Jing Yang Tao Qin Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1809: Temperature Drift Compensation of a MEMS Accelerometer Based on DLSTM and ISSA
ng Wang In order to improve the performance of a micro-electro-mechanical system (MEMS) accelerometer, three algorithms for compensating its temperature drift are proposed in this paper, including deep long short-term memory recurrent neural network (DLSTM-RNN, short DLSTM), DLSTM based on sparrow search algorithm (SSA), and DLSTM based on improved SSA (ISSA). Moreover, the piecewise linear approximation (PLA) method is employed in this paper as a comparison to evaluate the impact of the proposed algorithm. First, a temperature experiment is performed to obtain the MEMS accelerometer’s temperature drift o...
Source: Sensors - February 6, 2023 Category: Biotechnology Authors: Gangqiang Guo Bo Chai Ruichu Cheng Yunshuang Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1791: Deep-Reinforcement-Learning-Based IoT Sensor Data Cleaning Framework for Enhanced Data Analytics
wan Lim The Internet of things (IoT) combines different sources of collected data which are processed and analyzed to support smart city applications. Machine learning and deep learning algorithms play a vital role in edge intelligence by minimizing the amount of irrelevant data collected from multiple sources to facilitate these smart city applications. However, the data collected by IoT sensors can often be noisy, redundant, and even empty, which can negatively impact the performance of these algorithms. To address this issue, it is essential to develop effective methods for detecting and eliminating irrelevant data ...
Source: Sensors - February 5, 2023 Category: Biotechnology Authors: Alaelddin F. Y. Mohammed Salman Md Sultan Joohyung Lee Sunhwan Lim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1713: Neural Architecture Search Survey: A Computer Vision Perspective
g-Hoon Park In recent years, deep learning (DL) has been widely studied using various methods across the globe, especially with respect to training methods and network structures, proving highly effective in a wide range of tasks and applications, including image, speech, and text recognition. One important aspect of this advancement is involved in the effort of designing and upgrading neural architectures, which has been consistently attempted thus far. However, designing such architectures requires the combined knowledge and know-how of experts from each relevant discipline and a series of trial-and-error steps. In t...
Source: Sensors - February 3, 2023 Category: Biotechnology Authors: Jeon-Seong Kang JinKyu Kang Jung-Jun Kim Kwang-Woo Jeon Hyun-Joon Chung Byung-Hoon Park Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1723: Map Space Modeling Method Reflecting Safety Margin in Coastal Water based on Electronic Chart for Path Planning
In this study, a map modeling method for path planning is proposed. This method incorporates the safety margin based on the theory of geographic space existing in coastal waters, maneuvering space according to ship characteristics, and the psychological buffer space of a ship navigator. First, the obstacle area was segmented using the binary method—a segmentation method—based on the international standard electronic chart image. Next, the margin space was incorporated through the morphological algorithm for the obstacle area. Finally, to minimize the space lost during the route search, the bound...
Source: Sensors - February 3, 2023 Category: Biotechnology Authors: Da-un Jang Joo-sung Kim Tags: Article Source Type: research