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Artículos de revistas sobre el tema "GPR (GPR)"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 14 de febrero de 2022

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1

El-Naggar, Sabry Ali, Karim Samy El-Said, Mona Elwan, et al. "Toxicity of bean cooking media containing EDTA in mice." Toxicology and Industrial Health 36, no. 6 (2020): 436–45. http://dx.doi.org/10.1177/0748233719893178.

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The possible renal and hepatic toxicities of ethylenediaminetetraacetic acid (EDTA) in bean cooking media were studied using 100 male albino mice. Two sublethal doses of EDTA were used to explore their toxic effects; 20 mg/kg and 200 mg/kg, which corresponded to 1/100th and 1/10th of LD50, respectively. Accordingly, the toxicity study was performed using 50 mice, divided into five groups ( n = 10/group) as follows: group 1 (Gp1) served as a negative control and was orally administered normal saline; group 2 (Gp2) was administered the bean cooking medium; group 3 (Gp3) was administered EDTA (20

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2

Davis, Melissa A., Leticia E. Camacho, Alexander L. Pendleton, et al. "Augmented glucose production is not contingent on high catecholamines in fetal sheep with IUGR." Journal of Endocrinology 249, no. 3 (2021): 195–207. http://dx.doi.org/10.1530/joe-21-0071.

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Fetuses with intrauterine growth restriction (IUGR) have high concentrations of catecholamines, which lowers the insulin secretion and glucose uptake. Here, we studied the effect of hypercatecholaminemia on glucose metabolism in sheep fetuses with placental insufficiency-induced IUGR. Norepinephrine concentrations are elevated throughout late gestation in IUGR fetuses but not in IUGR fetuses with a bilateral adrenal demedullation (IAD) at 0.65 of gestation. Euglycemic (EC) and hyperinsulinemic–euglycemic (HEC) clamps were performed in control, intact-IUGR, and IAD fetuses at 0.87 of gestation.

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3

Badawi, Rehab, Hanan Soliman, Dina Ziada, et al. "Serum Markers as a Predictor of Hepatic Fibrosis Compared to Fibroscan in chronic hepatitis B Infected Egyptian patients: A Cross-sectional Study." Open Biomarkers Journal 10, no. 1 (2020): 69–75. http://dx.doi.org/10.2174/1875318302010010069.

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Background & Aims: The gamma-glutamyl transpeptidase (GGT) to platelet ratio (GPR), the gamma-glutamyl transpeptidase to albumin (GAR) and S-index are novel biomarkers suggested to assess liver fibrosis. The aim of the work was to assess the correlation between GGT and other related markers as GAR and GPR among other previous documented markers and the degree of fibrosis and steatosis in chronic HBV Egyptian patients as measured by fibroscan. Materials And Methods: After ethical approval of the protocol, a total of 170 chronic HBV patients were recruited from tropical medicine department,

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4

Karie, Svetlana, Vincent Launay-Vacher, and Gilbert Deray. "GPR-Antibactériens." Le Pharmacien Hospitalier 43, no. 174 (2008): 176. http://dx.doi.org/10.1016/s0768-9179(08)74210-x.

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5

Siragusi, Rafael Henrique De Souza, Valeska Tallia Mendes de Barros, Emiliana Andrade Fiorini, et al. "Measurement of serum lactate values in domestic cats (Felis catus) submitted to physical and chemical restraint." Brazilian Journal of Veterinary Research and Animal Science 54, no. 4 (2017): 383. http://dx.doi.org/10.11606/issn.1678-4456.bjvras.2017.132024.

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A utilização do lactato sérico é cada vez mais comum na Medicina Veterinária, por ser um excelente marcador de oxigenação tecidual, elevando-se em situações de hipóxia tecidual e realizando a glicólise anaeróbica como fonte de energia. Pesquisas científicas em cães o apontam como fator prognóstico em diversas afecções, sendo pouco utilizado em felinos domésticos devido ao elevado limiar de estresse da espécie, podendo interferir em seus valores. Assim, este trabalho avaliou os valores de lactato sérico em felinos domésticos durante contenção física e após contenção química, utilizando a associ

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6

Baldus, Christian, and Martin Schmidt-Kessel. "Zehn Jahre GPR." Zeitschrift für Gemeinschaftsprivatrecht 10, no. 1 (2013): 1. http://dx.doi.org/10.1515/gpr.2013.10.1.1.

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7

Balasubramanian. "Contra gpr-Continuity." Journal of Advanced Research in Applied Mathematics 5, no. 1 (2013): 17–30. http://dx.doi.org/10.5373/jaram.1385.040412.

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8

Luo, Tess X. H., Wallace W. L. Lai, Ray K. W. Chang, and Dean Goodman. "GPR imaging criteria." Journal of Applied Geophysics 165 (June 2019): 37–48. http://dx.doi.org/10.1016/j.jappgeo.2019.04.008.

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9

TRUBITSINA, Olga P., and Vladimir N. BASHKIN. "Geopolitical Risks of Hydrocarbon Development in the Russian Arctic." Arctic and North, no. 43 (June 24, 2021): 109–27. http://dx.doi.org/10.37482/issn2221-2698.2021.43.109.

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The article is devoted to the issues of geopolitical risks (GPR) in the hydrocarbon development of the Russian Arctic. The authors pay special attention to the analysis of modern geopolitical and geostrategic challenges of the Arctic region development. The article identifies the key geopolitical factors that affect the sustainable development of the Arctic and analyzes the similarities and differences in the geostrategic positions of the Arctic Five. One of the most important factors of the XXI century that determines the alignment and interaction of various geopolitical forces is the struggl

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10

Zabel, Brian A., William W. Agace, James J. Campbell, et al. "Human G Protein–Coupled Receptor Gpr-9-6/Cc Chemokine Receptor 9 Is Selectively Expressed on Intestinal Homing T Lymphocytes, Mucosal Lymphocytes, and Thymocytes and Is Required for Thymus-Expressed Chemokine–Mediated Chemotaxis." Journal of Experimental Medicine 190, no. 9 (1999): 1241–56. http://dx.doi.org/10.1084/jem.190.9.1241.

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TECK (thymus-expressed chemokine), a recently described CC chemokine expressed in thymus and small intestine, was found to mediate chemotaxis of human G protein–coupled receptor GPR-9-6/L1.2 transfectants. This activity was blocked by anti–GPR-9-6 monoclonal antibody (mAb) 3C3. GPR-9-6 is expressed on a subset of memory α4β7high intestinal trafficking CD4 and CD8 lymphocytes. In addition, all intestinal lamina propria and intraepithelial lymphocytes express GPR-9-6. In contrast, GPR-9-6 is not displayed on cutaneous lymphocyte antigen–positive (CLA+) memory CD4 and CD8 lymphocytes, which traff

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11

Balli, Faruk, Gazi Salah Uddin, and Syed Jawad Hussain Shahzad. "Geopolitical risk and tourism demand in emerging economies." Tourism Economics 25, no. 6 (2019): 997–1005. http://dx.doi.org/10.1177/1354816619831824.

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In this article, we investigate the impact of geopolitical risk (GPR) on international tourism demand in emerging economies. We have found that impact of GPR is not homogeneous for every country in our sample; for example, some countries are affected heavily by GPR and others are mostly immune to GPR shocks. In general, for countries that have attractive tourism destinations, the impact of GPR is minimal, indicating that if international tourists desperately want to go a destination, they do not take GPR seriously. In addition, the tsunami impact of GPR is not the same for all affected countri

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12

Sudakova, M. S., and M. L. Vladov. "PERSPECTIVE DIRECTIONS OF GROUND PENETRATING RADAR APPLICATION." Moscow University Bulletin. Series 4. Geology, no. 2 (April 28, 2018): 3–12. http://dx.doi.org/10.33623/0579-9406-2018-2-3-12.

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Ground penetrating radar (GPR) became very popular in the last decade in Russian federation. Not only scientific publications have been devoted to GPR but also articles in the press and TV programs on federal and local channels. Three directions of georadiolocation are considered in the article, which seem promising to the authors and will develop in the future: GPR ray tomography, GPR application with other geophysical methods and GPR using in permafrost regions. Examples of application of different methods of GPR data collection and processing are considered.

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13

Šarlah, Nikolaj, Tomaž Podobnikar, Tomaž Ambrožič, and Branko Mušič. "Application of Kinematic GPR-TPS Model with High 3D Georeference Accuracy for Underground Utility Infrastructure Mapping: A Case Study from Urban Sites in Celje, Slovenia." Remote Sensing 12, no. 8 (2020): 1228. http://dx.doi.org/10.3390/rs12081228.

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This paper describes in detail the applicability of the developed ground-penetrating radar (GPR) model with a kinematic GPR and self-tracking (robotic) terrestrial positioning system (TPS) surveying setup (GPR-TPS model) for the acquisition, processing and visualisation of underground utility infrastructure (UUI) in a real urban environment. The integration of GPR with TPS can significantly improve the accuracy of UUI positioning in a real urban environment by means of efficient control of GPR trajectories. Two areas in the urban part of Celje in Slovenia were chosen. The accuracy of the kinem

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14

Yang, Yong Qing. "The Application Research on Three-Dimensional GPR Image Used in Grouting Effect Evaluation of Subgrade Void." Advanced Materials Research 1065-1069 (December 2014): 725–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.725.

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On the basis of the GPR method principle, data acquisition and processing, this paper mainly discusses two-dimensional GPR profiles and three-dimensional GPR images through GPR detection example about the voids of highway bridge head subgrade and the grouting distribution. Three-dimensional images accurately and directly evaluate the grouting effect. Thus it illustrates that GPR used to detect the voids of highway bridge head roadbed and the grouting distribution is an effective method.

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15

Kang, Man-Sung, and Yun-Kyu An. "Frequency–Wavenumber Analysis of Deep Learning-based Super Resolution 3D GPR Images." Remote Sensing 12, no. 18 (2020): 3056. http://dx.doi.org/10.3390/rs12183056.

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This paper proposes a frequency–wavenumber (f–k) analysis technique through deep learning-based super resolution (SR) ground penetrating radar (GPR) image enhancement. GPR is one of the most popular underground investigation tools owing to its nondestructive and high-speed survey capabilities. However, arbitrary underground medium inhomogeneity and undesired measurement noises often disturb GPR data interpretation. Although the f–k analysis can be a promising technique for GPR data interpretation, the lack of GPR image resolution caused by the fast or coarse spatial scanning mechanism in reali

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16

Tercier, Paulette, Rosemary Knight, and Harry Jol. "A comparison of the correlation structure in GPR images of deltaic and barrier‐spit depositional environments." GEOPHYSICS 65, no. 4 (2000): 1142–53. http://dx.doi.org/10.1190/1.1444807.

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We have used geostatistical analysis of radar reflections to quantify the correlation structures found in 2-D ground‐penetrating radar (GPR) images. We find that the experimental semivariogram, the product of the geostatistical analysis of the GPR data, is well‐defined and can be modeled using standard geostatistical models to obtain an estimate of the range or correlation length, and the maximum correlation direction, in the 2-D GPR image. When we compare the results from geostatistical analysis of GPR data from selected deltaic and barrier‐spit depositional environments we find different cor

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17

Chengke, Zhang, Yu Junping, Wu Jiangpeng, Li Zhiqiang, and Zhu Liqing. "Application of Ground-Penetrating Radar Broadband Antenna in Underground Detection." E3S Web of Conferences 198 (2020): 04005. http://dx.doi.org/10.1051/e3sconf/202019804005.

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When GPR is detecting unknown objects underground, different antenna working frequency, different antenna size and different antenna internal structure will affect the final data quality and ultimately affect the detection accuracy of GPR. Therefore, when actualizing and evaluating the uwb signal of GPR electromagnetic wave, the electromagnetic properties of underground medium should be fully considered, and the influence of relevant parameters of GPR antenna on the transmitted and received electromagnetic signals should be analyzed by using numerical analysis method. This paper mainly describ

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18

Tabarro, P. G., J. Pouliot, R. Fortier, and L. M. Losier. "A WEBGIS TO SUPPORT GPR 3D DATA ACQUISITION: A FIRST STEP FOR THE INTEGRATION OF UNDERGROUND UTILITY NETWORKS IN 3D CITY MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W7 (October 23, 2017): 43–48. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w7-43-2017.

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For the planning and sustainable development of large cities, it is critical to accurately locate and map, in 3D, existing underground utility networks (UUN) such as pipelines, cables, ducts, and channels. An emerging non-invasive instrument for collecting underground data such as UUN is the ground-penetrating radar (GPR). Although its capabilities, handling GPR and extracting relevant information from its data are not trivial tasks. For instance, both GPR and its complimentary software stack provide very few capabilities to co-visualize GPR collected data and other sources of spatial data suc

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19

Annan, A. P. "Transmission Dispersion and GPR." Journal of Environmental and Engineering Geophysics 1, B (1996): 125–36. http://dx.doi.org/10.4133/jeeg1.b.125.

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20

Szymczyk, Magdalena, and Piotr Szymczyk. "Preprocessing of GPR data." Image Processing & Communications 18, no. 2-3 (2013): 83–90. http://dx.doi.org/10.2478/v10248-012-0082-3.

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Abstract In this article a set of procedures for data preprocessing of GPR radargrams are presented. Raw data taken from GPR are affected by different noises and instability of equipment. The data in this form, are not suitable for the further analysis. They must undergo a set of transformations in order to obtain indispensable information.

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21

Powers, Michael H. "Modeling frequency‐dependent GPR." Leading Edge 16, no. 11 (1997): 1657–62. http://dx.doi.org/10.1190/1.1437549.

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22

Bohidar, Rabi N., and John F. Hermance. "The GPR refraction method." GEOPHYSICS 67, no. 5 (2002): 1474–85. http://dx.doi.org/10.1190/1.1512792.

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Refracted phases have been a recognized feature in wide‐angle common midpoint (CMP) and common shotpoint (CSP) ground‐penetrating radar (GPR) surveys for many years, but historically their use has been limited and overshadowed by conventional reflection profiling techniques. In truth, the GPR refraction method holds great promise, as we show using four field examples from three sites in the northeastern United States. Typical refractors are shallow bedrock or coarse‐grained unconsolidated sediments (where the dielectric constant K ≈ 6–7) beneath partially saturated fine‐grained sand or silt (K

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23

Baradello, Luca, José M. Carcione, and Davide Gei. "Fast monostatic GPR modeling." GEOPHYSICS 69, no. 2 (2004): 466–71. http://dx.doi.org/10.1190/1.1707066.

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We propose the exploding‐reflector method to simulate a monostatic survey with a single simulation. The exploding reflector, used in seismic modeling, is adapted for ground‐penetrating radar (GPR) modeling by using the analogy between acoustic and electromagnetic waves. The method can be used with ray tracing to obtain the location of the interfaces and estimate the properties of the medium on the basis of the traveltimes and reflection amplitudes. In particular, these can provide a better estimation of the conductivity and geometrical details. The modeling methodology is complemented with the

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24

Barbin, Y., F. Nicollin, W. Kofman, V. Zolotarev, and V. Glotov. "Mars 96 GPR program." Journal of Applied Geophysics 33, no. 1-3 (1995): 27–37. http://dx.doi.org/10.1016/0926-9851(95)90027-6.

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25

Voipio, Veli. "GPR Pulse Propagation Topography." Applied Computational Electromagnetics Society 36, no. 5 (2021): 596–602. http://dx.doi.org/10.47037/2020.aces.j.360514.

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In this article, I propose a new method for calculating and visualizing the pulse radiation within the depth range commonly used by Ground Penetrating Radar (GPR). The text describes the method and illustrates the propagation with several examples. One conventional method is also applied for a quick comparison. The method can be used to optimize GPR antennas and transmit pulse shapes.

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Annan, A. Peter, Nectaria Diamanti, J. David Redman, and Steven R. Jackson. "Ground-penetrating radar for assessing winter roads." GEOPHYSICS 81, no. 1 (2016): WA101—WA109. http://dx.doi.org/10.1190/geo2015-0138.1.

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Since its inception, ground penetrating radar (GPR) has been a very effective method for examining ice structure. The vast majority of early GPR use was focused on answering questions related to glaciology and ice sheets. More recently, as more and more activity occurs in arctic areas, managing ice structures for a variety of applications has created new uses for GPR. For the past 30–40 years, GPR use for assessing transportation routes over lakes, rivers, and sea ice has been reported, but, only in the last decade has routine application occurred. We have focused on the application of GPR for

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27

Gong, Zhimin, and Huaiqing Zhang. "Research on GPR image recognition based on deep learning." MATEC Web of Conferences 309 (2020): 03027. http://dx.doi.org/10.1051/matecconf/202030903027.

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It is difficult for traditional image recognition methods to accurately identify ground penetrating radar (GPR) images. This paper proposes a deep-learning based Faster R-CNN algorithm for the automatic classification and recognition of GPR images. Firstly, GPR images with different features were obtained by using gprMax, a professional GPR simulation software. Then, the feature of the target in the image was taken as the recognition object and the data set was made. Finally, Faster R-CNN’s recognition ability of GPR images was analyzed from various accuracy, average accuracy and other indicat

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28

Trinks, Immo, and Alois Hinterleitner. "Beyond Amplitudes: Multi-Trace Coherence Analysis for Ground-Penetrating Radar Data Imaging." Remote Sensing 12, no. 10 (2020): 1583. http://dx.doi.org/10.3390/rs12101583.

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Under suitable conditions, ground-penetrating radar (GPR) measurements harbour great potential for the non-invasive mapping and three-dimensional investigation of buried archaeological remains. Current GPR data visualisations almost exclusively focus on the imaging of GPR reflection amplitudes. Ideally, the resulting amplitude maps show subsurface structures of archaeological interest in plan view. However, there exist situations in which, despite the presence of buried archaeological remains, hardly any corresponding anomalies can be observed in the GPR time- or depth-slice amplitude images.

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29

García-Fernández, María, Guillermo Álvarez-Narciandi, Yuri Álvarez López, and Fernando Las-Heras Andrés. "Analysis and Validation of a Hybrid Forward-Looking Down-Looking Ground Penetrating Radar Architecture." Remote Sensing 13, no. 6 (2021): 1206. http://dx.doi.org/10.3390/rs13061206.

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Ground Penetrating Radar (GPR) has proved to be a successful technique for the detection of landmines and Improvised Explosive Devices (IEDs) buried in the ground. In the last years, novel architectures for safe and fast detection, such as those based on GPR systems onboard Unmanned Aerial Vehicles (UAVs), have been proposed. Furthermore, improvements in GPR hardware and signal processing techniques have resulted in a more efficient detection. This contribution presents an experimental validation of a hybrid Forward-Looking–Down-Looking GPR architecture. The main goal of this architecture is t

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Zhang, Geng-lin, Shi-cheng Xu, Jie Zeng, et al. "Optimizing the Use of the Gamma-Glutamyl Transpeptidase-to-Platelet Ratio and Transient Elastography to Identify Liver Cirrhosis in Patients with Chronic Hepatitis B Concurrent with Nonalcoholic Fatty Liver Disease." Disease Markers 2019 (December 5, 2019): 1–11. http://dx.doi.org/10.1155/2019/2585409.

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Background and Aim. Little information is available about the assessment and optimal use of the gamma-glutamyl transpeptidase-to-platelet ratio (GPR) and transient elastography (TE) in predicting liver cirrhosis in patients with chronic hepatitis B (CHB) and concurrent nonalcoholic fatty liver disease (NAFLD). This study is aimed at comparing their diagnostic performances and developing an optimal approach for predicting liver cirrhosis in CHB patients with NAFLD. Methods. Consecutive CHB patients with NAFLD were enrolled. The GPR was calculated, and TE was performed using liver biopsy as a re

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Mills, Leslie Odartey, and Nii Attoh-Okine. "Analysis of ground penetrating radar data using hierarchical Markov Chain Monte Carlo simulation." Canadian Journal of Civil Engineering 41, no. 1 (2014): 9–16. http://dx.doi.org/10.1139/cjce-2012-0462.

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Ground penetrating radar (GPR) is a geophysical method used in highway maintenance to determine subsurface conditions within the right-of-way. GPR operates by using short-pulse radiation of radio-frequency electromagnetic energy to record dissimilarities in electrical properties of subsurface materials. As such, GPR results are susceptible to the transmission frequency used and the inherent properties of different subsurface materials. Uncertainty due to these susceptibilities can lead to ambiguity in the interpretation of GPR data. To distinguish heterogeneity from uncertainty, this paper mod

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32

Alqahtani, Abdullah, and Michael Taillard. "Global energy and geopolitical risk: behavior of oil markets." International Journal of Energy Sector Management 14, no. 2 (2019): 358–71. http://dx.doi.org/10.1108/ijesm-04-2019-0005.

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Purpose The question being assessed is whether changes in the degree of global geopolitical risk (GPR), as defined by the framework developed by Iacoviello (2018), can be used to improve allocative efficiency, thereby increasing investment returns on oil commodities. Design/methodology/approach Using the linear and nonlinear model, this paper analyzes the impact of GPR on returns of oil prices (BRENT, WTI and Organization of Petroleum Exporting Countries), as well as the short- and long-run relationship between GPR and oil prices. Findings The results of the impulse response function indicates

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33

Domenzain, Diego, John Bradford, and Jodi Mead. "Joint inversion of full-waveform ground-penetrating radar and electrical resistivity data — Part 2: Enhancing low frequencies with the envelope transform and cross gradients." GEOPHYSICS 85, no. 6 (2020): H115—H132. http://dx.doi.org/10.1190/geo2019-0755.1.

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Recovering material properties of the subsurface using ground-penetrating radar (GPR) data of finite bandwidth with missing low frequencies and in the presence of strong attenuation is a challenging problem. We have adopted three nonlinear inverse methods for recovering electrical conductivity and permittivity of the subsurface by joining GPR multioffset and electrical resistivity (ER) data acquired at the surface. All of the methods use ER data to constrain the low spatial frequency of the conductivity solution. The first method uses the envelope of the GPR data to exploit low-frequency conte

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34

Rodrigues, Brunela Pollastrelli, Christopher Adam Senalik, Xi Wu, and James Wacker. "Use of Ground Penetrating Radar in the Evaluation of Wood Structures: A Review." Forests 12, no. 4 (2021): 492. http://dx.doi.org/10.3390/f12040492.

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This paper is a review of published studies involving the use of ground penetrating radar (GPR) on wood structures. It also contains background information to help the reader understand how GPR functions. The use of GPR on wood structures began to grow in popularity at the turn of the millennium. GPR has many characteristics that make it attractive as an inspection tool for wood: it is faster than many acoustic and stress wave techniques; it does not require the use of a couplant; while it can also detect the presence of moisture. Moisture detection is of prime concern, and several researchers

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35

Wu, Xiao-Yu, Yao-Kun Zhuang, Yong Cai, et al. "Serum glucose and potassium ratio as a predictive factor for prognosis of acute intracerebral hemorrhage." Journal of International Medical Research 49, no. 4 (2021): 030006052110096. http://dx.doi.org/10.1177/03000605211009689.

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Objective The serum glucose/potassium ratio (GPR) is a potential prognostic predictor for acute brain injury-related diseases. We calculated the serum GPR in patients with acute intracerebral hemorrhage (ICH) and explored its prognostic value for long-term prognoses and ICH severity. Methods This retrospective cohort study consecutively included 92 patients with ICH and 92 healthy controls. The National Institutes of Health Stroke Scale (NIHSS) score, Glasgow coma scale (GCS) score, and hematoma volume were used to assess severity. A modified Rankin Scale score > 2 at 90 days post-stroke wa

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36

Oimbe, Sonal, Rahul Ingle, and Raval Awale. "Detection of Soil Water Content Using Continuous Wave Ground Penetrating Radar." JOIV : International Journal on Informatics Visualization 2, no. 1 (2018): 44. http://dx.doi.org/10.30630/joiv.2.1.104.

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In this work, continuous wave ground-penetrating radar (CW-GPR) has been used for detecting the soil water content in context to farm management. It is here speculated that CW-GPR utilized to observe variations in Soil parameters in different geographical area where traditional methods fails such as reflection-based GPR method. An experiment was performed on different farms in and around Mumbai city locality in a 20 * 14 m section of natural grassland at the SAMEER- IIT BOMBAY Research Facility in Mumbai city, INDIA. Two survey methods such as velocity analysis and GPR reflection surveys of gr

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37

Liu, Hai, Zhenshi Shi, Jianhui Li, et al. "Detection of road cavities in urban cities by 3D ground-penetrating radar." GEOPHYSICS 86, no. 3 (2021): WA25—WA33. http://dx.doi.org/10.1190/geo2020-0384.1.

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Cavities under urban roads have increasingly become a great threat to traffic safety in many cities. As a quick, effective, and high-resolution geophysical method, ground-penetrating radar (GPR) has been widely used to detect and image near-surface objects. However, the interpretation of field GPR data remains challenging. For example, it is hard to distinguish reflections caused by road cavities or other urban utilities with a conventional 2D GPR survey. The superiority of 3D GPR in data interpretation is demonstrated by a laboratory experiment. Two pipes and a glass-made cavity buried in a s

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38

Yang, Menglong, Qiang Zhang, Adan Yi, and Peng Peng. "Geopolitical Risk and Stock Market Volatility in Emerging Economies: Evidence from GARCH-MIDAS Model." Discrete Dynamics in Nature and Society 2021 (September 23, 2021): 1–17. http://dx.doi.org/10.1155/2021/1159358.

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Previous studies have found that geopolitical risk (GPR) caused by geopolitical events such as terrorist attacks can affect the movements of asset prices. However, the studies on whether and how these influences can explain and predict the volatility of stock returns in emerging markets are scant and emerging. By using the data from China’s CSI 300 index, we provide some evidence on whether and how the GPR factors can explain and forecast the volatility of stock returns in emerging economies. We employed the GARCH-MIDAS model and the model confidence set (MCS) to investigate the mechanism of G

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Budiono, Kris, and Yogi Noviadi. "INVESTIGATION OF GROUND PENETRATING RADAR FOR DETECTION OF ROAD SUBSIDENCE NORTHCOAST OF JAKARTA, INDONESIA." BULLETIN OF THE MARINE GEOLOGY 27, no. 2 (2016): 87. http://dx.doi.org/10.32693/bomg.27.2.2012.48.

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A survey of Ground Penetrating Radar (GPR) was conducted in the coastal zone of northern part of Jakarta, Indonesia. The purpose of this survey was to provide the subsurface of coastal Quaternary sedimentary features and stratigraphy disturbances associated with induce post road subsidence 2009. The possibility of subsurface lithology disturbance shown by the GPR record. This record resulted from GPR methods using SIR system 20 GSSI, 270 MHz and 400 MHz and MLF 3200 transducer. The method is a promising tool for resolving changes of physical properties in subsurface lithology condition at the

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Zhao, Yipin, Zebin Lin, Yingying Ji, et al. "Gamma-Glutamyl Transpeptidase to Platelet Ratio: A New Inflammatory Marker Associated with Outcomes after Cardiac Arrest." Mediators of Inflammation 2021 (August 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/5537966.

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Introduction. In recent years, gamma-glutamyl transpeptidase to platelet ratio (GPR) has been proposed as a new inflammatory marker. We aimed to evaluate the association between GPR and outcomes after cardiac arrest (CA). Methods. A total of 354 consecutive patients with CA were included in this retrospective study. Patients were divided into three groups according to tertiles of GPR (low, n = 119 ; middle, n = 117 ; and high, n = 118 ). To determine the relationship between GPR and prognosis, a logistic regression analysis was performed. The ability of GPR to predict the outcomes was evaluate

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Lei, Wen Tai, and Yu Jia Shi. "A Windowed Range Migration Imaging Algorithm for Ground Penetrating Radar Applications." Applied Mechanics and Materials 477-478 (December 2013): 1504–8. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.1504.

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The article proposes a new imaging method for ground penetrating radar (GPR) nondestructive testing (DET). Traditional GPR range migration (RM) imaging algorithm regards all the data in GPR echo data as equally important. This assumption is always not in consistent with real GPR detection scenario and usually cannot obtain high quality imaging results. To improve the quality of GPR imaging results, a new windowed RM imaging algorithm is presented in this paper. The radar profile is processed by one-dimensional windowed Fourier transform. The central point of window function is determined by ma

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Li, Jin Kui, Liu Jie Du, and Jing Jing Li. "Grouting Reinforcement of Governance on Detecting Evaluation of Goaf by Using GPR." Applied Mechanics and Materials 353-356 (August 2013): 347–51. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.347.

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The existence of underground goaf causes serious harm to the security and stability of the surface installations. Using the ground penetrating radar (GPR) detects the nine road in Jinzhou District of Dalian across the railway line three goaf grouting reinforcement. This article introduces the principles and technical methods of GPR, including data acquisition and data processing of GPR, discussing the effect of using GPR technology to detect the superficial goaf.

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Sokolov, Kirill, Larisa Fedorova, and Maksim Fedorov. "Prospecting and Evaluation of Underground Massive Ice by Ground-Penetrating Radar." Geosciences 10, no. 7 (2020): 274. http://dx.doi.org/10.3390/geosciences10070274.

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Data from geocryological studies of soil and rock massifs in permafrost zone are very important as a basis for predicting possible negative consequences associated with climate change. A promising technique for studying geocryological structures (various types of underground ice) is the ground-penetrating radar (GPR) method. This paper presents the applications of the GPR method to prospect and evaluate massive ice in a frozen rock mass. To study the features of GPR signals received during sounding of underground ice, a model of a single GPR trace for the structure “frozen rock-ice-frozen rock

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Samuelsson, Oscar, Anders Björk, Jesús Zambrano, and Bengt Carlsson. "Gaussian process regression for monitoring and fault detection of wastewater treatment processes." Water Science and Technology 75, no. 12 (2017): 2952–63. http://dx.doi.org/10.2166/wst.2017.162.

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Monitoring and fault detection methods are increasingly important to achieve a robust and resource efficient operation of wastewater treatment plants (WWTPs). The purpose of this paper was to evaluate a promising machine learning method, Gaussian process regression (GPR), for WWTP monitoring applications. We evaluated GPR at two WWTP monitoring problems: estimate missing data in a flow rate signal (simulated data), and detect a drift in an ammonium sensor (real data). We showed that GPR with the standard estimation method, maximum likelihood estimation (GPR-MLE), suffered from local optima dur

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Shen, Hongyan, Yueying Yan, Xinxin Li, Xin Wan, Qin Li, and Yidong Li. "Enhancement of GPR Diffracted Waves Processing: A Case Study from Taiyuan, China." Journal of Environmental and Engineering Geophysics 24, no. 2 (2019): 237–47. http://dx.doi.org/10.2113/jeeg24.2.237.

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Mined-out areas, caves, voids and cavities usually appear as diffracted waves on ground penetrating radar (GPR) profiles. Therefore, the complete extraction of diffracted waves forms the foundation of the efficient usage of the GPR technique in geological surveys. We propose a method of enhancing GPR diffracted waves via singular value decomposition (SVD) filtering and establish an effective GPR data processing flowchart. First, the shallow and deep signal energies were controlled within a certain dynamic range by energy scaling in the traces. Next, the SVD filtering process was employed to su

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Xu, Juncai, and Bangjun Lei. "Data Interpretation Technology of GPR Survey Based on Variational Mode Decomposition." Applied Sciences 9, no. 10 (2019): 2017. http://dx.doi.org/10.3390/app9102017.

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Data interpretation is the crucial scientific component that influences the inspection accuracy of ground penetrating radar (GPR). Developing algorithms for interpreting GPR data is a research focus of increasing interest. The problem of algorithms for interpreting GPR data is unresolved. To this end, this study proposes a sophisticated algorithm for interpreting GPR data with the aim of improving the inspection resolution. The algorithm is formulated by integrating variational mode decomposition (VMD) and Hilbert–Huang transform techniques. With this method, the intrinsic mode function of the

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Kang, Man-Sung, Namgyu Kim, Seok Been Im, Jong-Jae Lee, and Yun-Kyu An. "3D GPR Image-based UcNet for Enhancing Underground Cavity Detectability." Remote Sensing 11, no. 21 (2019): 2545. http://dx.doi.org/10.3390/rs11212545.

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This paper proposes a 3D ground penetrating radar (GPR) image-based underground cavity detection network (UcNet) for preventing sinkholes in complex urban roads. UcNet is developed based on convolutional neural network (CNN) incorporated with phase analysis of super-resolution (SR) GPR images. CNNs have been popularly used for automated GPR data classification, because expert-dependent data interpretation of massive GPR data obtained from urban roads is typically cumbersome and time consuming. However, the conventional CNNs often provide misclassification results due to similar GPR features au

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Zhao, Wenke, Lin Yuan, Emanuele Forte, Guoze Lu, Gang Tian, and Michele Pipan. "Multi-Frequency GPR Data Fusion with Genetic Algorithms for Archaeological Prospection." Remote Sensing 13, no. 14 (2021): 2804. http://dx.doi.org/10.3390/rs13142804.

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Archaeological GPR data from antennas of different frequencies allow the identification of buried cultural heritage at different scales. Therefore, multi-frequency GPR systems are recommended for complicated subsurface archaeological conditions. GPR data fusion approaches, automatically or semi-automatically, can integrate data measurements from different frequency antennas, combine them into a single representation, and partially overcome the unavoidable trade-off between penetration and resolution. We propose an adaptively weighted fusion method for multi-frequency GPR data based on genetic

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Xiong, Zonghou, and Alan C. Tripp. "Ground‐penetrating radar responses of dispersive models." GEOPHYSICS 62, no. 4 (1997): 1127–31. http://dx.doi.org/10.1190/1.1444213.

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Ground‐penetrating radar (GPR) has been a very efficient tool for mapping shallow targets for applications such as those in geological engineering and environmental management (Fisher et al. 1992). Since the application of GPR depends on the complex electrical properties of the ground, it is important to study this dependence in all its manifestations. The depth of investigation for GPR applications depends strongly on the conductivity of the ground. If the ground is very conductive, GPR waves will be absorbed before they reach the target region. Earth materials can be dispersive, i.e., the co

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Mesquita, Marcelo Jorge Luz, José Gouvêa Luiz, and José de Paulo Rocha da Costa. "ESTIMATES OF SOIL WATER CONTENT USING GROUND PENETRATING RADAR IN FIELD CONDITIONS." Revista Brasileira de Geofísica 33, no. 3 (2015): 389. http://dx.doi.org/10.22564/rbgf.v33i3.940.

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ABSTRACT. Electromagnetic methods play an important role in the study of soil water content, mainly because electromagnetic properties in the shallow subsurface area are primarily controlled by the presence of water. This work analyzes the effectiveness of Ground Penetrating Radar (GPR) as a tool for estimating soil water content in field conditions, introduces a calibration equation to estimate average soil moisture of the area studied from the analysis of GPR wave velocity, and evaluates the process used to create it. Methodologies for collecting GPR data seeking the determination of soil mo

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