Sensors, Vol. 24, Pages 2886: A Study on the Maximum Reliability of Multi-UAV Cooperation Relay Systems
ping Li
This paper studies the maximum reliability of multi-hop relay UAVs, in which UAVs provide wireless services for remote users as a coded cooperative relay without an end-to-end direct communication link. In this paper, the analytical expressions of the total power loss and total bit error rate are derived as reliability measures. First, based on the environmental statistical parameters, a LOS probability model is proposed. Then, the problem of minimizing the bit error rate of static and mobile UAVs is studied. The goal is to minimize the total bit error rate by jointly optimizing the height, elevation, power and...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Ning Ning Suiping Zhou Weimin Bao Xiaoping Li Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2889: FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything
em Nouira
In the realm of computer vision, the integration of advanced techniques into the pre-processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities arising from diverse environmental conditions and varying object appearances. Therefore, this paper introduces FusionVision, an exhaustive pipeline adapted for the robust 3D segmentation of objects in RGB-D imagery. Traditional computer vision systems face limitations in simultaneously capturing precise object boundaries and achieving high-precision object detection on depth maps, as they are mainly proposed for RGB cameras. To ad...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Safouane El Ghazouali Youssef Mhirit Ali Oukhrid Umberto Michelucci Hichem Nouira Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2890: Nanoscale Three-Dimensional Imaging of Integrated Circuits Using a Scanning Electron Microscope and Transition-Edge Sensor Spectrometer
We present a laboratory-scale nanotomography instrument that achieves nanoscale spatial resolution while addressing the limitations of conventional tomography tools. The instrument combines the electron beam of a scanning electron microscope (SEM) with the precise, broadband X-ray detection of a superconducting transition-edge sensor (TES) microcalorimeter. The electron beam generates a highly focused X-ray spot on a metal target held micrometers away from the sample of interest, while the TES spectrometer isolates target photons with a high signal-to-noise ratio. This combination of a focused X-ray spot, energy-resolved X...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Nathan Nakamura Paul Szypryt Amber L. Dagel Bradley K. Alpert Douglas A. Bennett William Bertrand Doriese Malcolm Durkin Joseph W. Fowler Dylan T. Fox Johnathon D. Gard Ryan N. Goodner James Zachariah Harris Gene C. Hilton Edward S. Jimenez Burke L. Kerne Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2891: Fast and Fault-Tolerant Passive Hyperbolic Localization Using Sensor Consensus
ár
The accuracy of passive hyperbolic localization applications using Time Difference of Arrival (TDOA) measurements can be severely compromised in non-line-of-sight (NLOS) situations. Consensus functions have been successfully used to provide robust and accurate location estimates in such challenging situations. In this paper, a fast branch-and-bound computational method for finding the global maximum of consensus functions is proposed and the global convergence property of the algorithm is mathematically proven. The performance of the method is illustrated by simulation experiments and real measurements. (Source: Sensors)
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Simon Zach ár Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2855: Artery Pulse Waveform Acquired with a Fabry-Perot Interferometer
Serrano
For most patients admitted to a hospital, it is a requirement to continuously monitor their vital signs. Among these are the waveforms from ECG and the pulmonary arterial pulse. At present, there are several electronic devices that can measure the arterial pulse waveform. However, they can be affected by electromagnetic wave radiation, and the fabrication of electronic sensors is complicated and contributes to the e-waste, among other problems. In this paper, we propose an optical method to measure arterial pulse based on a Fabry-Perot interferometer composed of two mirrors. A pulse sensor formed by an acrylic ...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Sergio Calixto Zacarias Malacara-Hernandez Guillermo Garnica Ingrid Chavez-Serrano Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2854: A Design Method for an SVM-Based Humidity Sensor for Grain Storage
In conclusion, this study provides reliable sensor technological support for humidity monitoring in large-scale grain storage and processing, with extensive applications in grain storage and grain safety management. (Source: Sensors)
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Lining Liu Chengbao Song Ke Zhu Pingzeng Liu Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2852: Evaluating Trust Management Frameworks for Wireless Sensor Networks
dhyay
Wireless Sensor Networks (WSNs) are crucial in various fields including Health Care Monitoring, Battlefield Surveillance, and Smart Agriculture. However, WSNs are susceptible to malicious attacks due to the massive quantity of sensors within them. Hence, there is a demand for a trust evaluation framework within WSNs to function as a secure system, to identify and isolate malicious or faulty sensor nodes. This information can be leveraged by neighboring nodes, to prevent collaboration in tasks like data aggregation and forwarding. While numerous trust frameworks have been suggested in the literature to assess trus...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Pranav Gangwani Alexander Perez-Pons Himanshu Upadhyay Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2857: Identifying the Effect of Cognitive Motivation with the Method Based on Temporal Association Rule Mining Concept
This study introduced a method to identify the cognitive motivation effect with a reduced number of EEG electrodes. The temporal association rule mining (TARM) concept was used to analyze the relationships between attention and memorization brain areas under the effect of motivation from the cognitive motivation task. For accuracy improvement, the artificial bee colony (ABC) algorithm was applied with the central limit theorem (CLT) concept to optimize the TARM parameters. From the results, our method can identify the motivation effect with only FCz and P3 electrodes, with 74.5% classification accuracy on average with indi...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Tustanah Phukhachee Suthathip Maneewongvatana Chayapol Chaiyanan Keiji Iramina Boonserm Kaewkamnerdpong Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2856: Graphene Nanoplatelets/Polydimethylsiloxane Flexible Strain Sensor with Improved Sandwich Structure
ing Zhu
In engineering measurements, metal foil strain gauges suffer from a limited range and low sensitivity, necessitating the development of flexible sensors to fill the gap. This paper presents a flexible, high-performance piezoresistive sensor using a composite consisting of graphene nanoplatelets (GNPs) and polydimethylsiloxane (PDMS). The proposed sensor demonstrated a significantly wider range (97%) and higher gauge factor (GF) (6.3), effectively addressing the shortcomings of traditional strain gauges. The microstructure of the GNPs/PDMS composite was observed using a scanning electron microscope, and the dist...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Junshu Zhang Ke Gao Shun Weng Hongping Zhu Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2859: Moving Object Detection in Freely Moving Camera via Global Motion Compensation and Local Spatial Information Fusion
Xie Han
Motion object detection (MOD) with freely moving cameras is a challenging task in computer vision. To extract moving objects, most studies have focused on the difference in motion features between foreground and background, which works well for dynamic scenes with relatively regular movements and variations. However, abrupt illumination changes and occlusions often occur in real-world scenes, and the camera may also pan, tilt, rotate, and jitter, etc., resulting in local irregular variations and global discontinuities in motion features. Such complex and changing scenes bring great difficulty in detecting mov...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Zhongyu Chen Rong Zhao Xindong Guo Jianbin Xie Xie Han Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2860: In Situ Test and Numerical Analysis of the Subway-Induced Vibration Influence in Historical and Cultural Reserves
This study investigates the spatial distribution characteristics of vibration in the Fayuan Temple historic and cultural reserve. It involves using a V001 magnetoelectric acceleration sensor capable of monitoring low amplitudes with a sensitivity of 0.298 V/(m/s2), a measuring range of up to 20 m/s2, and a frequency range span from 0.5 to 100 Hz for in situ testing, analyzing the law of vibration propagation in this area, evaluating the impact on buildings, and determining the vibration reduction scheme. The reserve is divided into three zones based on the vertical vibration level measured during the in situ test as follow...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Jie Su Xingyi Liu Yuzhe Wang Xingyu Lu Xiaokai Niu Jiangtao Zhao Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2858: The Mechanism of Short-Circuit Oscillations in Automotive-Grade Multi-Chip Parallel Power Modules and an Effective Mitigation Approach
ng Zhou
Sheng Liu
This paper presents an in-depth analysis of the oscillation phenomenon occurring in multi-chip parallel automotive-grade power modules under short-circuit conditions and investigates three suppression methods. We tested and analyzed two commercial automotive-grade power modules, one containing two chips and the other containing a single chip, and found that short-circuit gate oscillations were more likely to occur in multi-chip parallel packaged modules than in single-chip packaged modules. Through experimental and simulation analyses, we observed that gate oscillations were mainly caused by the int...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Kun Ma Yameng Sun Xun Liu Yifan Song Xuehan Li Huimin Shi Zheng Feng Xiao Zhang Yang Zhou Sheng Liu Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2861: Track Irregularity Identification Method of High-Speed Railway Based on CNN-Bi-LSTM
In conclusion, the model is verified based on the simulation data and the real data measured by the high-speed railway comprehensive inspection train. (Source: Sensors)
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Jinsong Yang Jinzhao Liu Jianfeng Guo Kai Tao Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2862: Enhancing Sensitivity in Gas Detection: Porous Structures in Organic Field-Effect Transistor-Based Sensors
g Lee
Gas detection is crucial for detecting environmentally harmful gases. Organic field-effect transistor (OFET)-based gas sensors have attracted attention due to their promising performance and potential for integration into flexible and wearable devices. This review examines the operating mechanisms of OFET-based gas sensors and explores methods for improving sensitivity, with a focus on porous structures. Researchers have achieved significant enhancements in sensor performance by controlling the thickness and free volume of the organic semiconductor layer. Additionally, innovative fabrication techniques like self-...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Soohwan Lim Ky Van Nguyen Wi Hyoung Lee Tags: Review Source Type: research
Sensors, Vol. 24, Pages 2863: Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting
In this study, we show that automatic seizure forecasting can be performed, to some extent, even on independent patients who have never been seen during the training phase, thanks to the implementation of a simple calibration pipeline that can fine-tune deep learning models, even on a single epileptic event recorded from a new patient. We evaluate our calibration procedure using two datasets containing EEG signals recorded from a large cohort of epileptic subjects, demonstrating that the forecast accuracy of deep learning methods can increase on average by more than 20%, and that performance improves systematically in all ...
Source: Sensors - April 30, 2024 Category: Biotechnology Authors: Sina Shafiezadeh Gian Marco Duma Giovanni Mento Alberto Danieli Lisa Antoniazzi Fiorella Del Popolo Cristaldi Paolo Bonanni Alberto Testolin Tags: Article Source Type: research
