Article
Agriculture, Multidisciplinary
Yongda Lin, Tingting Chen, Shiyuan Liu, Yulin Cai, Haowen Shi, Dike Zheng, Yubin Lan, Xuejun Yue, Lei Zhang
Summary: In this study, an efficient and fast realtime peanut video counting model was proposed, which accurately distinguished peanut seedlings from weeds and counted them based on videos using unmanned aerial vehicles (UAVs). The results of field experiments showed that the model had a counting capability close to humans with an accuracy of 98.08%, taking only one-fifth of the time required for human detection. Therefore, the video-based model outperformed image-based target detection algorithms and was more suitable for practical germination rate investigation in peanut production.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
Yafei Zhang, Xugang Lian, Linlin Ge, Xiaoyu Liu, Zheyuan Du, Wenfu Yang, Yanru Wu, Haifeng Hu, Yinfei Cai
Summary: Surface subsidence caused by coal mining is a significant factor affecting the sustainable development of mining districts. This study proposes combining DInSAR and UAV photogrammetry to achieve high-precision monitoring of mining subsidence areas, which proves to be more accurate than using either technology alone.
Article
Computer Science, Artificial Intelligence
Nick Koudas, Raymond Li, Ioannis Xarchakos
Summary: This paper examines interactive declarative query processing on video streams. It introduces a set of approximate filters to speed up queries involving specific types of objects and proposes statistical query processing techniques and a framework based on extreme value theory to improve query accuracy and detect unexpected objects.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Nanoscience & Nanotechnology
Siyang Xiao, Zachary Wollman, Quan Xie, Chuanhua Duan
Summary: This work numerically investigates the accuracy of current monitoring in measuring surface potentials in nanochannels under different conditions. The results show that the measured zeta potential deviates from the actual value as the electrical double layer becomes thick. However, a simple expression is proposed to predict the deviation accurately for cases with a smaller electrical double layer.
MICROFLUIDICS AND NANOFLUIDICS
(2022)
Article
Engineering, Civil
Athina M. Z. Lange, Julia W. Fiedler, Mark A. Merrifield, R. T. Guza
Summary: Nearshore bathymetry is estimated using video acquired by a hovering UAV and compared with ground truth. The cBathy algorithm is improved by crest tracking with machine learning-aided annotations, leading to more accurate depth estimation. Individual wave crests are determined using a deep-learning neural network, and surf zone depths are computed from wave celerity.
COASTAL ENGINEERING
(2023)
Article
Engineering, Marine
Jinchang Fan, Hailong Pei, Zengjie Lian
Summary: In this paper, we extended video stitching to nearshore bathymetry by using videos captured simultaneously by two UAVs. We proposed a framework that performed video stitching and bathymetric mapping in sequence, and used time-cross correlation analysis to estimate water depth from the obtained panoramic video in Shuang Yue Bay, China.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Semih Sami Akay, Orkan Ozcan, Fusun Balik Sanli
Summary: This study utilizes UAV-based monitoring to quantify and visualize the morphological changes in meander structures caused by floods, aiming to evaluate the impact of river morphology on the environment. The results demonstrate the importance of mapping and monitoring river basins, enabling prompt evaluation and analysis of extreme events.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Green & Sustainable Science & Technology
Fotis Panetsos, Panagiotis Rousseas, George Karras, Charalampos Bechlioulis, Kostas J. Kyriakopoulos
Summary: This paper presents a vision-aided motion planning and control framework for efficient monitoring and surveillance of water surfaces using a UAV. The proposed strategy aims to equip the UAV with autonomy and decision-making capabilities to support First Responders during emergency water contamination incidents. An end-to-end solution is proposed, including waypoint tracking, waypoint refinement, area selection for landing, and a predictive motion controller for the landing procedure.
Article
Optics
Lanjun Sun, Yanchao Zhang, Chensui Ouyang, Songlin Yin, Xiuyun Ren, Shiyou Fu
Summary: This article introduces a portable laser-induced fluorescence (LIF) lidar detection system for unmanned aerial vehicles (UAVs). The system consists of a transmitting and receiving module, a data processing module, and a wireless transmission module, with a total weight of 5 kg. The system emits a 405 nm laser to irradiate the water body, allowing the monitoring of oil spills and chlorophyll content in seawater by receiving fluorescence signals within the 400-750 nm spectral range. The fluorescence detection data obtained by the LIF system on the UAV is wirelessly transmitted to a ground terminal for real-time processing. The system demonstrated the ability to perform seawater fluorescence remote sensing measurement and is convenient and cost-effective for routine sea and oil spill monitoring on a regional scale.
OPTICS COMMUNICATIONS
(2023)
Article
Remote Sensing
Xiang Ren, Min Sun, Xianfeng Zhang, Lei Liu, Hang Zhou, Xiaoping Ren
Summary: This paper proposes an improved Mask-RCNN algorithm for target detection in UAV TIR video streams, addressing deficiencies in processing speed and storage space requirements. The improved algorithm utilizes prior knowledge and MobileNetV3 technology to enhance detection performance while maintaining high efficiency.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Thermodynamics
Saeed A. El-Shahat, Guojun Li, Lei Fu
Summary: This study combined higher-order theories with the BEM model to predict dynamic loading, implemented a wave-current interaction model to overcome linear wave theory limitations, and observed changes in wave characteristics and loads with and without interaction. The study found significant differences in blade root bending moments under wave-current interaction and performed a parametric study to reveal effects of wave height and current velocity on dynamic loadings.
Article
Environmental Sciences
Yao Yao, Helene Burningham, Jasper Knight, David Griffiths
Summary: This study used unmanned aerial system surveys to monitor moving boulders and measure their volumes using the volume differential method. The results showed significant differences in mobility among boulders located in different zones of the coast over a three-year period. The volume differential method yielded a theoretical error of 1-3.9%, which is much smaller than that of the conventional tape measure method for estimating volume.
Article
Engineering, Civil
Haiyang Cheng, Yongzhou Cheng, Yuwei Zheng, Jing Zhang, Xing Lyu
Summary: The use of artificial intelligence models trained by specific samples can provide fast and reliable predictions on fluid-solid-soil coupling mechanism and seabed stability problems. This study evaluates machine learning methods in predicting the seabed response around pile foundation and investigates the impact of time-lag correlation and physical laws on model errors. The results show that the proposed machine learning methods achieve satisfactory performances in predicting pore water pressure oscillation response within the seabed.
COASTAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Yihang Shao, Xiaoli Xu
Summary: This paper studies the trajectory design of multiple unmanned aerial vehicles (UAVs) for post-disaster information collection through cooperative video inspection. The design aims to enable swift response and efficient planning for post-disaster rescue by minimizing the time for inspection and maximizing the communication time for video uploading.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
David Essing, Vera Schlindwein, Mechita C. Schmidt-Aursch, Celine Hadziioannou, Simon C. Stahler
Summary: This study investigates harmonic tremor in ocean-bottom seismometer (OBS) records, distinguishing it from natural tremor sources and revealing its characteristics through systematic analysis of its features and generation processes. Rhythmical Karman vortex shedding around protruding structures of the OBS caused by ocean-bottom currents is the most likely source of the dominant tremor signal. The periodicty of the tremor signal and its correspondence with tidal constituents of ocean-bottom currents further support the hydrodynamic nature of the tremor.
SEISMOLOGICAL RESEARCH LETTERS
(2021)