Article
Geochemistry & Geophysics
Armin Moghimi, Amin Sarmadian, Ali Mohammadzadeh, Turgay Celik, Meisam Amani, Huseyin Kusetogullari
Summary: In this study, a novel method for radiometric correction of unregistered multisensor image pairs is proposed. The method utilizes the KAZE detector to extract feature points and applies the conditional probability process in linear model fitting for correction. Experimental results demonstrate that the proposed method outperforms existing methods both qualitatively and quantitatively, indicating its high efficiency.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Hardware & Architecture
Zhong Qu, Jun Li, Le-yuan Gao
Summary: This paper presents an effective and adaptive method for rotating images to an appropriate angle before stitching to solve the problem of stitching overlapped images taken under different rotation angles. The method involves partitioning the target image into four parts and extracting features to match them with a reference image. The rotation angle is adjusted based on the part with the most matching pairs, and the direction of matching pairs is detected to further refine the rotation angle. Experimental results demonstrate the effectiveness and satisfactory stitching result of the proposed method.
Article
Computer Science, Artificial Intelligence
Xiangtao Zheng, Hao Sun, Xiaoqiang Lu, Wei Xie
Summary: This paper proposes a rotation-invariant attention network (RIAN) for HSI classification, which extracts rotation-invariant spectral-spatial features using center spectral attention and rectified spatial attention modules. Experimental results show that RIAN performs well on HSIs with spatial rotation.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Geochemistry & Geophysics
Ruoqiao Jiang, Shaohui Mei, Mingyang Ma, Shun Zhang
Summary: Rotation-invariant features are crucial for object detection and image classification in very-high-resolution optical remote sensing images. This article introduces a nested Siamese structure (NSS) to effectively train a multibranch convolutional neural network (mCNN) for learning rotation-invariant features. The proposed NSS, trained with a double center loss (DCL) function, outperforms state-of-the-art algorithms even with limited training samples.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Kaibo Zhou, Zhixin Zhang, Changxin Gao, Jie Liu
Summary: In this study, a rotated feature network (RFN) architecture is proposed to address the conflicting demands in multi-orientation object detection of remote-sensing images. By producing rotation-sensitive and rotation-invariant features, and quantitatively evaluating the rotation-invariance, the method achieves promising detection performance. Additionally, the RFN shows good generalization ability and can be integrated into existing frameworks with only a slight increase in test time and model complexity.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Geochemistry & Geophysics
Kun Zhu, Xiaodong Zhang, Guanzhou Chen, Xianwei Li, Peihua Cai, Puyun Liao, Tong Wang
Summary: This letter proposes an object detection framework named MORE-Net, which solves the issues of inaccurate positioning and shape in remote sensing images. By using a multi-oriented rotating filter and an area smooth loss function, the framework achieves effective detection and accurate localization of rotated regions of interest.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Multidisciplinary
Ahmet Cagdas Seckin, Mine Seckin
Summary: A new feature extraction method for fabric defect detection is proposed, which is faster and more accurate compared to traditional texture feature extraction methods. This method can be used on low-level devices.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Review
Agriculture, Multidisciplinary
R. Manavalan
Summary: This paper presents a comprehensive computational method for diagnosing cotton leaf diseases to improve productivity by analyzing various stages of the plant-pathogen system. The paper finds that current automated identification methods for cotton crop diseases are still in their infancy and discusses the issues behind the computational approaches of plant pathogens in-depth. The strengths and weaknesses of existing methods are highlighted, and future directions for research are presented. Therefore, there is a need for novel, fully automatic computer-assisted systems to detect and classify numerous diseases in cotton plants.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Computer Science, Information Systems
Xiaoming Zhao, Xingming Wu, Jinyu Miao, Weihai Chen, Peter C. Y. Chen, Zhengguo Li
Summary: Existing methods for keypoint detection are not directly optimized using back-propagation due to their non-differentiability. To tackle this issue, we propose a partially differentiable keypoint detection module that accurately outputs sub-pixel keypoints. We introduce a reprojection loss to directly optimize these sub-pixel keypoints and a dispersity peak loss for accurate regularization. Additionally, we employ stable neural reprojection error loss to train sub-pixel descriptors. Our lightweight network achieves high efficiency, running at 95 frames per second on a commercial GPU for 640 x 480 images. The proposed method achieves comparable performance with state-of-the-art approaches in homography estimation, camera pose estimation, and visual (re-)localization tasks while significantly reducing inference time.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Review
Automation & Control Systems
Nikhil Singh, Rajiv Kapoor
Summary: Expressions play a critical role in day-to-day learning. The detection of human expressions has attracted significant interest in recent years, particularly in the field of Affective Computing. classifying expressions is essential for developing an efficient electronic learning system and has numerous applications in psychology, human-computer interaction, artificial intelligence, education, gaming, etc. This review focuses on the latest algorithms for extracting features from multi-modal datasets and various classifiers used in Multi-modal Expression Detection (MED). The study discusses the advantages, disadvantages, and overall vision of these approaches. Additionally, it highlights the superior efficiency of MED compared to single-modal systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Geochemistry & Geophysics
Yuyan Liu, Xiaoying Gong, Yang Yang
Summary: In this letter, a mismatch removal method based on the Siamese architecture is proposed to address the issues of multiview images, enhancing feature point representation with dynamic neighbor-guided patch representation and multilayer fusion. Experimental results show that the method outperforms other state-of-the-art methods in various scenarios, including horizontal rotation, vertical rotation, mixture, scaling, and extreme cases.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Multidisciplinary Sciences
Rubab Mehboob, Ali Javed, Hassan Dawood, Hussain Dawood
Summary: An improved feature descriptor named HILL-VF is proposed in this paper to extract distinctive features. Experimental evaluations on multiple benchmarks show that it increases the classification accuracy.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Shawli Bardhan, Sukanta Roga
Summary: This study proposes a novel method using machine learning to automatically classify hypertension and its risk indexing using cardiac ECM images. The method achieved a classification accuracy of 98.9% with a sensitivity of 0.97 and specificity of 1. Inspired by the high accuracy, a unique Hypertension Risk Indexing (HRI) system was developed for preliminary hypertension risk assessment.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Jiayi Ma, Kaining Zhang, Junjun Jiang
Summary: A novel appearance-based loop closure detection system is proposed in this work, which selects candidate frames using Super-features and ASMK, and verifies loops using LPM-GC algorithm. Experimental results demonstrate that the proposed method achieves good performance in loop closure detection task.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Engineering, Biomedical
G. Akilandasowmya, G. Nirmaladevi, S. U. Suganthi, A. Aishwariya
Summary: This study proposes a technique for skin cancer detection and classification using deep hidden features and ensemble classifiers. By optimizing features to reduce data dimensionality and combining ensemble classifiers, the proposed method outperforms in skin cancer classification and improves prediction accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Electrical & Electronic
Md Abdul Momin, Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Mohamad Sofian Abu Talip
Summary: Efficient vehicle detection is crucial in intelligent transportation systems. This study aims to improve the conventional CNN model to achieve real-time detection on low-cost embedded hardware. A lightweight CNN model based on YOLOv4 Tiny is proposed, which adds an additional scale feature map to enhance detection accuracy. Experimental results show that the proposed model outperforms the conventional YOLOv4 Tiny and previous works in terms of mean average precision (mAP).
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Clinical Neurology
Hani Chanbour, Lakshmi Suryateja Gangavarapu, Jeffrey W. Chen, Gabriel A. Bendfeldt, Iyan Younus, Mahmoud Ahmed, Steven G. Roth, Leo Y. Luo, Silky Chotai, Amir M. Abtahi, Byron F. Stephens, Scott L. Zuckerman
Summary: This study aims to investigate the incidence of unplanned readmission, identify associated risk factors, and determine the impact of unplanned readmission on long-term outcomes in patients undergoing surgery for cervical spine metastases. The results showed that 15% of patients experienced unplanned readmission, with 33% for surgical reasons and 67% for medical reasons. Preoperative radiation was associated with increased unplanned readmission rate, but readmission had no association with overall survival or local recurrence.
WORLD NEUROSURGERY
(2023)
Article
Medicine, Research & Experimental
Mahmoud S. Ahmed, Ayman B. Farag, Ian N. Boys, Ping Wang, Ivan Menendez-Montes, Ngoc Uyen Nhi Nguyen, Jennifer L. Eitson, Maikke B. Ohlson, Wenchun Fan, Matthew B. McDougal, Katrina Mar, Suwannee Thet, Francisco Ortiz, Soo Young Kim, Ashley Solmonson, Noelle S. Williams, Andrew Lemoff, Ralph J. DeBerardinis, John W. Schoggins, Hesham A. Sadek
Summary: The study aimed to identify therapeutic options for the COVID-19 pandemic through structure-based drug repurposing. FDA-approved drugs were screened for their inhibitory effects against SARS-CoV-2's main protease enzyme (Mpro) substrate-binding pocket. Five promising candidates, including atovaquone and mebendazole, demonstrated antiviral activity against SARS-CoV-2. Atovaquone was also found to potentially inhibit viral replication by targeting host purine metabolism.
BIOMEDICINE & PHARMACOTHERAPY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Adam D. Yock, Mahmoud Ahmed, Sarah Masick, Manuel Morales-Paliza, Christien Kluwe, Ashwin Shinde, Austin Kirschner, Eric Shinohara
Summary: This study analyzed the clinical experience of CBCT-based daily online adaptive radiotherapy and demonstrated the impact of adaptive triggers on dosimetric and procedural outcomes. The results showed that daily online adaptive radiotherapy improved target coverage in multiple pelvic treatment sites, while the improvement in organ-at-risk metrics was randomly distributed.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2023)
Article
Mechanics
Ahmed Elhanafy, Yasser Abuouf, Samir Elsagheer, Shinichi Ookawara, Mahmoud Ahmed
Summary: Diagnostic technology based on magnetic fields is commonly used in medicine, but exposure to strong electromagnetic fields has adverse effects on patients. This study investigates the effects of external uniform magnetic fields on blood flow in healthy and diseased cases, and determines safe values for field strength. A three-dimensional non-Newtonian flow model is developed to investigate the effects of the magnetic field on shear rate and hematocrit. Numerical simulations are conducted at different field strengths and orientations, and results demonstrate the dominant effect of the magnetic field in the Y-direction.
Article
Clinical Neurology
Hani Chanbour, Jeffrey W. Chen, Lakshmi S. Gangavarapu, Gabriel A. Bendfeldt, Matthew E. LaBarge, Mahmoud Ahmed, Steven G. Roth, Silky Chotai, Leo Y. Luo, Amir M. Abtahi, Byron F. Stephens, Scott L. Zuckerman
Summary: This is a retrospective case-control study that aimed to identify risk factors associated with unplanned readmission after metastatic spine surgery and determine its impact on long-term outcomes. The results showed that postoperative complications were associated with unplanned readmission, and 3-month unplanned readmission was associated with a shorter time to local recurrence and decreased overall survival.
Editorial Material
Pharmacology & Pharmacy
Mahmoud Ahmed, Deok Ryong Kim
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Genetics & Heredity
Mahmoud Ahmed, Hyun Joon Kim, Deok Ryong Kim
Summary: The human genome project ignited scientific interest in an ambitious goal, leading to significant discoveries and a new era of research. The project's impact extended beyond its results, as novel technologies and analysis methods emerged, making high-throughput datasets more accessible to labs and serving as a model for future collaborations. To effectively utilize these datasets for research and public benefit, re-analysis, curation, and integration with other data forms are crucial.
FRONTIERS IN GENETICS
(2023)
Article
Medicine, General & Internal
Mahmoud Ahmed, Yamini Krishna, Petya Popova, Rose Herbert, Gediminas Sidaras, Anshoo Choudhary, Stephen B. B. Kaye
Summary: This study examined the impact of low-dose propofol sedation on patient reported outcome measures (PROMS) during cataract surgery. The study found that the use of low-dose propofol was associated with reduced pain, needle recall, and blood pressure. The results suggest that propofol can be an effective sedation method for cataract surgery.
JOURNAL OF CLINICAL MEDICINE
(2023)
Review
Medicine, General & Internal
Alfredo Borgia, Vito Romano, Davide Romano, Luca Pagano, Aldo Vagge, Giuseppe Giannaccare, Mahmoud Ahmed, Kunal Gadhvi, Nardine Menassa, Mohammad Ahmad, Stephen Kaye, Giulia Coco
Summary: Astigmatism is a common issue after keratoplasty, and it is important to accurately identify and characterize its type, amount, and direction. Various techniques, including corneal tomography and topo-aberrometry, can be used for evaluation, but alternative methods are available if these instruments are not accessible. This article describes both low-tech and high-tech approaches for detecting post-keratoplasty astigmatism, as well as the management strategies involving suture manipulation.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Genetics & Heredity
Dalal Al-Sharshani, Dinesh Velayutham, Muthanna Samara, Reham Gazal, Ayman Al Haj Zen, Mohamed A. Ismail, Mahmoud Ahmed, Gheyath Nasrallah, Salma Younes, Nasser Rizk, Sara Hammuda, M. Walid Qoronfleh, Thomas Farrell, Hatem Zayed, Palli Valapila Abdulrouf, Manar AlDweik, John Paul Ben Silang, Alaa Rahhal, Rana Al-Jurf, Ahmed Mahfouz, Amar Salam, Hilal Al Rifai, Nader I. Al-Dewik
Summary: This study aimed to investigate the association between selected single nucleotide polymorphisms (SNPs) and dyslipidemia, as well as the increased susceptibility risks of cardiovascular diseases, type 2 diabetes mellitus, and non-alcoholic fatty liver disease. The results showed significant differences in genotypic frequencies of six SNPs between dyslipidemia patients and control individuals. These differences were found to be associated with gender, obesity, hypertension, and diabetes.
MOLECULAR GENETICS & GENOMIC MEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Sajib Ahmed, Saad Mekhilef, Marizan Mubin, Kok Soon Tey, Mostefa Kermadi
Summary: Solar energy reduces energy demands, but conventional controllers fail to track the global maximum power point due to multiple peaks caused by partial shading. To solve this, a method combining the perturb and observe algorithm with a skipping and scanning mechanism is proposed. By skipping scanning areas between successive peaks, the scanning area is significantly reduced. Experimental results show that the proposed algorithm outperforms other methods with an average convergence time of 1.02 s and average efficiency of 99.44%.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Oncology
Trang Huyen Lai, Mahmoud Ahmed, Jin Seok Hwang, Md Entaz Bahar, Trang Minh Pham, Jinsung Yang, Wanil Kim, Rizi Firman Maulidi, Dong-Kun Lee, Dong-Hee Kim, Hyun Joon Kim, Deok Ryong Kim
Summary: Breast cancer is a common tumor type in women with a high fatality rate due to metastasis. Raf kinase inhibitory protein (RKIP) is a potential metastasis suppressor candidate, but its expression is reduced or lost in aggressive cancer variants. This study explores the role of RKIP as an anti-metastatic gene using two breast cancer cell lines with different levels of RKIP expression. The findings suggest a potential strategy to reverse the metastatic capability of breast cancer cells by chemically manipulating RKIP expression.
FRONTIERS IN ONCOLOGY
(2023)
Article
Computer Science, Information Systems
Rafah Ibraheem Jabbar, Saad Mekhilef, Marizan Mubin, Karam Khairullah Mohammed
Summary: This paper proposes a modified perturb and observe (P & O) algorithm for optimal maximum power point tracking (MPPT) under various weather conditions. The algorithm improves on the limitations of the existing algorithm by controlling the duty-cycle perturbation step size and detecting steady-state oscillations. The proposed method was validated through simulations and experiments, demonstrating improved tracking time and steady-state efficiency.
Review
Computer Science, Information Systems
Binghui Han, Younes Zahraoui, Marizan Mubin, Saad Mekhilef, Mehdi Seyedmahmoudian, Alex Stojcevski
Summary: With the increasing demand for electricity, the deployment of renewable energy sources, and the widespread use of smart home appliances, home energy management systems (HEMSs) are presented with new opportunities. HEMSs aim to improve the overall energy production and consumption of residential buildings by controlling and scheduling the use of household equipment. They contribute to energy savings, lower residential electricity costs, optimize utility companies' power systems utilization rate and reliability, and reduce air pollution, thus enhancing the socioeconomic development of low-carbon economies.
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.
