Usage of Unmanned Aerial Vehicles (UAVs) for different tasks is widespread, as UAVs are affordable, easy to manoeuvre and versatile enough to execute missions in a reliable manner. However, there are still fields where UAVs play a minimal role regardless of their possibilities. One of these application domains is mobile network testing and measurement. Currently, the procedures used to measure the main parameters of mobile networks in an area (such as power output or its distribution in a three-dimensional space) rely on a team of specialized people performing measurements with an array of tools. This procedure is significantly expensive, time consuming and the resulting outputs leave a higher degree of precision to be desired. An open-source UAV-based Cyber-Physical System is put forward that, by means of the Galileo satellite network, a Mobile Data Acquisition System and a Graphical User Interface, can quickly retrieve reliable data from mobile network signals in a three-dimensional space with high accuracy for its visualization and analysis. The UAV tested flew at 40.43 latitude and -3.65 longitude degrees as coordinates, with an altitude over sea level of around 600-800 m through more than 40 mobile network cells and signal power displayed between -75 and -113 decibels.
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http://dx.doi.org/10.3390/s23031285 | DOI Listing |
Plant Dis
January 2025
Biotechnology, plant protection, Nongsheng Group C735, Zijin Campus, Zhejiang University, Hangzhou, Zhejiang, China, 310058;
To meet the need of crop leaf disease detection in complex scenarios, this study designs a method based on the computing power of mobile devices that ensures both detection accuracy and real-time efficiency, offering significant practical application value. Based on a comparison with existing mainstream detection models, this paper proposes a target detection and recognition algorithm, TG_YOLOv5, which utilizes multi-dimensional data fusion on the YOLOv5 model. The triplet attention mechanism and C3CBAM module are incorporated into the network structure to capture connections between spatial and channel dimensions of input feature maps, thereby enhancing the model's feature extraction capabilities without significantly increasing the parameter count.
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Clinical Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China.
Purpose: Triple-negative breast cancer (TNBC) is a disease associated with high incidence and high mortality, which is a major problem threatening women's health. Xiaoyao Sanjie Decoction (XYSJD) exhibits remarkable therapeutic efficacy on TNBC; however, the underlying mechanism is unclear. This study verified the efficacy of XYSJD and its active component in the treatment of TNBC and explored its potential mechanism.
View Article and Find Full Text PDFMymensingh Med J
January 2025
Dr Maisha Farjana, Research Assistant, Bangladesh Center for Communication Programs, Dhaka, Bangladesh; E-mail:
World population is experiencing huge death toll due to Covid-19 pandemic with panic and uncertainty. Students used the electronic media called e-learning, became the budging word in these days. This study was aimed to determine the experiences of the medical students regarding e-learning during Covid-19 pandemic.
View Article and Find Full Text PDFCJC Open
December 2024
Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Background: The Weeneebayko Area Health Authority (WAHA) is a regional, community-based Indigenous health authority in Northern Ontario, Canada. From September 2022 to March 2023, the WAHA and University Health Network engaged in a partnership that designed a collaborative model of care to address inequities in cardiology specialist access in Northern Ontario. This model implemented a digital therapeutic for heart failure, (the Medly program) and in-person cardiology clinics in the region.
View Article and Find Full Text PDFSci Rep
December 2024
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China.
A novel adaptive model-based motion control method for multi-UAV communication relay is proposed, which aims at improving the networks connectivity and the communications performance among a fleet of ground unmanned vehicles. The method addresses the challenge of relay UAVs motion control through joint consideration with unknown multi-user mobility, environmental effects on channel characteristics, unavailable angle-of-arrival data of received signals, and coordination among multiple UAVs. The method consists of two parts: (1) Network connectivity is constructed and communication performance index is defined using the minimum spanning tree in graph theory, which considers both the communication link between ground node and UAV, and the communication link between ground nodes.
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