Article
Environmental Sciences
Guillaume Brunier, Simon Oiry, Yves Gruet, Stanislas F. Dubois, Laurent Barille
Summary: In this study, a UAV-based survey was conducted in October on Noirmoutier Island in France to map the distribution of reefs and the colonization of epibionts using topographic indices and multispectral indices. The results provide data support for further research on the health index of intertidal reefs.
Article
Environmental Sciences
Friedrich Knuth, David Shean, Shashank Bhushan, Eli Schwat, Oleg Alexandrov, Christopher McNeil, Amaury Dehecq, Caitlyn Florentine, Shad O'Neel
Summary: Archives of historical aerial photographs can be used to augment long-term records of quantitative landscape change, but manual processing tasks hinder efficiency. We developed an automated method to generate high-resolution DEMs and orthoimages from historical images without manual GCP selection. Our method corrects camera position errors and produces accurate georeferenced products, regardless of camera configuration or terrain characteristics.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Environmental
Caio Cesar de Sousa Mello, Daniel Henrique Carneiro Salim, Gustavo Ferreira Simoes
Summary: This study verifies the accuracy and application range of UAV photogrammetry in landfill monitoring, and its advantages compared to traditional survey procedures. The results demonstrate that UAV aerial photogrammetry provides efficient operational performance and effective information for landfill projects.
Article
Chemistry, Analytical
Pawel Burdziakowski, Katarzyna Bobkowska
Summary: The authors of this paper discuss the potential and challenges of using UAV photogrammetry during darker time of the day, highlighting the differences in day- and night-time photogrammetric models and factors affecting them. They also present conclusions based on their comparisons of the two models.
Review
Chemistry, Multidisciplinary
Ludovit Kovanic, Branislav Topitzer, Patrik Petovsky, Peter Blistan, Marcela Bindzarova Gergelova, Monika Blistanova
Summary: Using unmanned aerial vehicles (UAVs) combined with various sensors allows for fast, automatic, and contactless collection of spatial data with high resolution and accuracy. The most common application is the creation of spatial models based on photogrammetric and lidar data. This review analyzes the current possibilities of UAVs and provides an overview of their history, development, classification, regulation, and application in surveying.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Jerry C. Mock, Jeffrey B. Johnson, Armando Pineda, Gustavo Bejar, Amilcar Roca
Summary: This study quantified erosional and depositional processes for secondary lahars in Las Lajas drainage at Volcan de Fuego, Guatemala. The study found that abundant pyroclastic material from ongoing eruptive activity is remobilized seasonally during heavy precipitation, which can impact infrastructure and populations living near Fuego. The researchers used an unoccupied aerial vehicle (UAV) quadcopter to survey an agricultural zone 6 to 10 km from the summit, and processed the imagery into time-lapse digital elevation models (DEMs) to track channel morphology changes over time.
Article
Environmental Sciences
Joan Grau, Kang Liang, Jae Ogilvie, Paul Arp, Sheng Li, Bonnie Robertson, Fan-Rui Meng
Summary: The study used UAV and photogrammetry method to map boundaries of riparian zones, showing that high-resolution UAV-derived DEM had high agreement with field-measured riparian zones, making it a suitable approach in agricultural watersheds.
Article
Environmental Sciences
Sangku Lee, Jeongha Park, Eunsoo Choi, Dongkyun Kim
Summary: The study revealed that lower UAV flight altitude, higher photograph overlap ratio, and more Ground Control Points contribute to higher accuracy in UAV-photogrammetry-based snow depth distribution maps. Factors like spatial configuration and accuracy of GCP coordinates, number of tie-points, and the nature of snow cover also influence the accuracy of these maps.
Article
Geosciences, Multidisciplinary
Sebastian Czapiewski
Summary: The rapid development and availability of UAVs have led to their widespread use in monitoring the natural environment. This paper discusses the procedures for creating a precise DEM using aerial imaging data processing techniques and compares the accuracy of the obtained products with existing DEMs. The study shows a strong positive correlation between UAV-based DSMs and traditional LiDAR measurements.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Remote Sensing
Artur Gafurov
Summary: This paper presents the results of surveying the Sarycum area of the Dagestan Nature Reserve of Russia with a DJI Phantom 4 UAV and methodological recommendations for conducting work on such a large territory. The obtained DEM with 0.5 m resolution and ultrahigh resolution orthophotoplane allow for assessing aeolian processes dynamics at a qualitatively different level.
Article
Computer Science, Information Systems
Aggeliki Kyriou, Konstantinos Nikolakopoulos, Ioannis Koukouvelas
Summary: This study investigated the impact of UAV image acquisition geometry on the accuracy of derived products for geomorphological mapping. It found that oblique-viewing geometry and a combination of nadir and oblique imagery can be effectively used in areas with complex topography and steep slopes over 60 degrees, resulting in significantly better products compared to nadir-viewing imagery.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Multidisciplinary Sciences
Yuta Matsuura, Heming Zhang, Kousuke Nakao, Chang Qiong, Iman Firmansyah, Shin Kawai, Yoshiki Yamaguchi, Tsutomu Maruyama, Hisayoshi Hayashi, Hajime Nobuhara
Summary: This study proposes a high-precision measurement method for conventional crop height measurements using aerial drone images. The method utilizes a drone equipped with a monocular camera and real-time kinematic global navigation satellite system (RTK-GNSS) for real-time processing, and performs high-precision stereo matching based on long-baseline lengths. A new calibration method is also proposed to improve accuracy and speed. The method demonstrated a significant reduction in error rates compared to conventional methods in natural world environments.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Taylan Ocalan, Tarik Turk, Nursu Tunalioglu, Mert Gurturk
Summary: This study examines the performance of PPP and PPP-AR solutions for kinematic GNSS data obtained from UAVs, comparing them with PPK solutions based on relative positioning. The potential of the PPP-AR approach in terms of quality and accuracy in UAV photogrammetry has been demonstrated.
EARTH SCIENCE INFORMATICS
(2022)
Review
Environmental Sciences
Sayed Ishaq Deliry, Ugur Avdan
Summary: Recent advancements in UAS and SfM technology have revolutionized surveying engineering by providing high-resolution topographic data, but concerns about accuracy and precision remain. A thorough evaluation and validation are necessary to determine if this method can be a viable alternative to conventional methods in surveying and mapping applications.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Environmental Sciences
Hongbao Dai, Jiying Xu
Summary: UAV tilt photogrammetry is an effective and environmentally friendly method widely used in various fields. This research used UAV for photogrammetry and established a 3D model of the Guniubei reservoir. The evaluation results showed that the method met the accuracy requirements and had higher safety in tidal-flat areas. This research provides a foundation for topographic survey and reservoir capacity evaluation in hydraulic engineering.
FRESENIUS ENVIRONMENTAL BULLETIN
(2022)
Article
Engineering, Civil
Muge Albayrak, Daniel Willi, Sebastien Guillaume
Summary: This study determines the precision and accuracy of the QDaedalus system based on observations at two locations in Switzerland. The precision was found to be 0.1'' through extensive observations, while the accuracy was established through parallel observations and found to be within 0.1''. Notably, a large systematic trend was observed in the N-S DoV data at one of the test stations.
Article
Food Science & Technology
Hamza Alasalvar, Murat Kaya, Serap Berktas, Bulent Basyigit, Mustafa Cam
Summary: This study investigated the extraction of bioactive compounds from lemon peel using pressurised hot water extraction (PHWE). The results showed that PHWE at specific temperature and time conditions could selectively extract eriocitrin and hesperidin, resulting in higher total phenolic content and antioxidant capacities compared to conventional extraction methods.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Telecommunications
Ali Reza Heidarpour, Mohammad Reza Heidarpour, Masoud Ardakani, Chintha Tellambura, Murat Uysal
Summary: This letter addresses the joint lifetime-outage optimization in relay-enabled IoT networks using a multiple relay selection scheme. The proposed DDQN-MRS scheme achieves superior performance compared to benchmark MRS schemes, as shown by our results.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Marine
Gokhan Demircan, Mustafa Ozen, Murat Kisa, Abuzer Acikgoz, Yusuf Isiker
Summary: This study investigated the effects of freeze-thaw test on glass fiber-reinforced epoxy composite coatings with nano-gelcoat. The mechanical properties and thermal stability of the coatings were examined through various tests and analyses. Results showed that the addition of nano TiO2 improved water absorption property and preserved mechanical properties. However, the presence of nanoclay reduced the protection property of the pure gelcoat. Statistical analysis confirmed the significance of the experimental results.
Article
Geography, Physical
Yunus Kaya, Halil Ibrahim Senol, Abdurahman Yasin Yigit, Murat Yakar
Summary: Determining car density in parking lots is crucial for executing existing management systems and making precise plans for the future. In this study, high-resolution UAV images and deep learning methods were used to detect cars in parking lots. Two deep learning approaches, YOLOv3 and Mask R-CNN, were tested using the deep learning tool of Esri ArcGIS Pro. The performance of the algorithms was evaluated based on metrics such as recall, F1 score, precision ratio/uncertainty accuracy, and average producer accuracy.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Ibrahim Yenigun, Ali Volkan Bilgili, Halil Ibrahim Senol, Abdullah Yenigun
Summary: Underground water resources are vital for mankind, used for drinking water and agricultural irrigation. This study investigates the changes in groundwater quality in the Upper Mesopotamian region, which has a semi-arid climate and important past civilizations. Samples from selected wells in the Mardin Kiziltepe Plain were collected and analyzed for water quality classifications. The results show no non-standard values and will provide important data for future irrigation projects.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Telecommunications
Hatef Nouri, Sadiq M. Sait, Murat Uysal
Summary: This letter proposes an adaptive algorithm for free space optical communication systems to address the impact of atmospheric turbulence. By reliable feedback of channel state information, adaptive transmission is implemented to adapt to turbulence-induced fading. The algorithm adjusts the modulation size/type according to the channel fading conditions to maximize spectral efficiency under peak and average power constraints, while maintaining a targeted value of outage probability. Extensive Monte Carlo simulations are presented to demonstrate the performance of the proposed adaptive scheme over turbulence channels.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Civil
Mohammed Elamassie, Sadiq M. M. Sait, Murat Uysal
Summary: This article presents a study on the vertical underwater visible light communication (VLC) link, taking into consideration the fluctuation and oscillation of a buoy transmitter. A statistical model is proposed to incorporate random path loss and fading induced by relative movement changes. Closed-form expressions for bit error ratio and achievable diversity orders are derived, and numerical results are provided to validate the analytical findings.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2023)
Article
Environmental Sciences
Inese Varna, Daniel Willi, Sebastien Guillaume, Muge Albayrak, Ansis Zarins, Mustafa Ozen
Summary: Nowadays, zenith telescope-based digital zenith cameras (DZC) are used to determine precise astrogeodetic deflections of the vertical (DoVs). CODIAC and VESTA, developed by ETH Zurich and University of Latvia respectively, are the most commonly used DZCs. This study conducted simultaneous observations using both CODIAC and VESTA at HEIG-VD in Yverdon-les-Bains, Switzerland, and revealed the precision and agreement between the two DZCs.
Article
Archaeology
Nizar Polat
Summary: This study used unmanned aerial vehicles (UAVs) to investigate ancient water collection and storage systems near the Karahantepe Neolithic Site. The use of digital elevation models (DEMs) allowed for the examination of cisterns, pools, and channels in the region. Hydrological analysis provided a comprehensive understanding of water flow patterns. The findings suggested that the channels leading to cisterns followed a meandering slope and culminated in pools, possibly serving as sedimentation ponds. The study highlighted the benefits of utilizing UAV technology in archaeology and inferred that the water collection and storage system in the region was intentionally constructed by ancient civilizations.
ENVIRONMENTAL ARCHAEOLOGY
(2023)
Article
Chemistry, Physical
Mehmet Fatih Dilekoglu, Mazlum Yapici
Summary: The research investigated the performance of a new method for synthesizing super activated carbon from sheep manure in the adsorption of the naproxen micropollutant. Chemical activation with ZnCl2 as an activator was used to produce activated carbon, with various parameters such as impregnation rate, activation temperature, and duration examined. Characterization of the produced activated carbons was done using FTIR, SEM, and BET measurements, with a surface area of 2170 m2 g-1 determined. The adsorption of naproxen was found to be influenced by solution pH, initial concentration, and the amount of activated carbon.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Engineering, Civil
Muge Albayrak, Sebastien Guillaume, Daniel Willi, Christian Hirt, Ivan Dario Herrera Pinzon, Urs Marti, M. Tevfik Ozludemir, Lukas Mueller, C. K. Shum
Summary: This study presents the results of an astrogeodetic survey campaign conducted in the mountainous terrain of the Surses region in Switzerland. The observations using the QDaedalus system validated DoV data from the CHGeo2004 model and showed that it is more accurate than the GGMplus model. Furthermore, a comparison with previous studies conducted in coastal and flat terrains revealed that the GGMplus model performs better in the mountainous terrain.
JOURNAL OF SURVEYING ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Nizar Polat
Summary: This study utilizes UAVs to investigate earthquake-induced deformations in Turkey's Hatay region, providing high-resolution 3D modeling and aerial imagery to analyze surface deformations and fractures. Results show extensive fractures and two subsidence areas, with accurate photogrammetric measurements validating the data. The study demonstrates the effectiveness of UAV-based data in analyzing earthquake-induced deformations and offers a foundation for future research.
EARTH SCIENCE INFORMATICS
(2023)
Article
Surgery
Harun Gur, Onur Ismi, Yusuf Vayisoglu, Kemal Gorur, Murat Unal, Onurhan Guven, Cengiz Ozcan
Summary: This study retrospectively analyzed the demographic, clinical, surgical, and histopathological results and complications of 301 parotidectomies performed in southern part of Turkey. The study found that patients with malignant tumors had a higher mean age compared to patients with benign diseases. The mean age of Warthin tumor (WT) patients was significantly higher than pleomorphic adenoma (PA) patients. There was a significant male dominancy in WT compared to PA. The mean size of malignant tumors was significantly larger than benign tumors.
INDIAN JOURNAL OF OTOLARYNGOLOGY AND HEAD & NECK SURGERY
(2023)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
