Relevant bibliographies by topics / GPR processing optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'GPR processing optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'GPR processing optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "GPR processing optimization"

1

Belda, Santiago, Luca Pipia, Pablo Morcillo-Pallarés, and Jochem Verrelst. "Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring." Agronomy 10, no. 5 (2020): 618. http://dx.doi.org/10.3390/agronomy10050618.

Full text
Abstract:
Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the promising algorithms, Gaussian process regression (GPR) proved to be a competitive time series gap-filling algorithm with the advantage of, as developed within a Bayesian framework, providing associated uncertainty estimates. Nevertheless, the processing of time series images becomes computationally in
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Siqi, Shan Zhao, and Imad L. Al-Qadi. "Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (2019): 329–38. http://dx.doi.org/10.1177/0361198119841038.

Full text
Abstract:
Accurate real-time density monitoring is crucial in quality control and quality assurance during the asphalt concrete (AC) pavement construction process. Ground penetrating radar (GPR) technology has shown great potential in the continuous real-time density prediction of AC pavement. However, it is not accepted as a routine method by transportation agencies in the United States due to the lack of validation under field testing conditions. In this study, three field tests were performed using GPR to estimate AC pavement density. The Al-Qadi-Lahouar-Leng model was used to predict the density fro
APA, Harvard, Vancouver, ISO, and other styles
3

Jiang, Sheng-Long, Xinyue Shen, and Zhong Zheng. "Gaussian Process-Based Hybrid Model for Predicting Oxygen Consumption in the Converter Steelmaking Process." Processes 7, no. 6 (2019): 352. http://dx.doi.org/10.3390/pr7060352.

Full text
Abstract:
Oxygen is one of the most important energies used in converter steelmaking processes of integrated iron and steel works. Precisely forecasting oxygen consumption before processing can benefit process control and energy optimization. This paper assumes there is a linear relationship between the oxygen consumption and input materials, and random noises are caused by other unmeasurable materials and unobserved reactions. Then, a novel hybrid prediction model integrating multiple linear regression (MLR) and Gaussian process regression (GPR) is introduced. In the hybrid model, the MLR method is dev
APA, Harvard, Vancouver, ISO, and other styles
4

Lee, Seung Hwan. "Optimization of Cold Metal Transfer-Based Wire Arc Additive Manufacturing Processes Using Gaussian Process Regression." Metals 10, no. 4 (2020): 461. http://dx.doi.org/10.3390/met10040461.

Full text
Abstract:
Wire and arc additive manufacturing (WAAM) is among the most promising additive manufacturing techniques for metals because it yields high productivity at low raw material costs. However, additional post-processing is required to remove redundant surface material from components manufactured by the WAAM process, and thus the productivity decreases. To increase productivity, multi-variable process parameters need to be optimized, including thermo-mechanical effects caused by high deposition rates. When the process is modeled, deposit shape and productivity are challenging to quantify due to unc
APA, Harvard, Vancouver, ISO, and other styles
5

Gabryś, Marta, and Łukasz Ortyl. "Georeferencing of Multi-Channel GPR—Accuracy and Efficiency of Mapping of Underground Utility Networks." Remote Sensing 12, no. 18 (2020): 2945. http://dx.doi.org/10.3390/rs12182945.

Full text
Abstract:
Due to the capabilities of non-destructive testing of inaccessible objects, GPR (Ground Penetrating Radar) is used in geology, archeology, forensics and increasingly also in engineering tasks. The wide range of applications of the GPR method has been provided by the use of advanced technological solutions by equipment manufacturers, including multi-channel units. The acquisition of data along several profiles simultaneously allows time to be saved and quasi-continuous information to be collected about the subsurface situation. One of the most important aspects of data acquisition systems, incl
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Xianguo, Chengyan Lin, Tao Zhang, Daowu Huang, Derong Huang, and Shanwei Liu. "New Understanding of Bar Top Hollows in Dryland Sandy Braided Rivers from Outcrops with Unmanned Aerial Vehicle and Ground Penetrating Radar Surveys." Remote Sensing 13, no. 4 (2021): 560. http://dx.doi.org/10.3390/rs13040560.

Full text
Abstract:
Bar top hollows (BTHs) are morphological elements recognized in modern braided rivers; however, information regarding their depositional features and types of filling units in ancient strata is unclear. This is an important reason behind why it is difficult to identify BTH units in subsurface reservoirs. A Middle Jurassic dryland sandy braided river outcrop in northwestern China is characterized in this study through the application of an unmanned aerial vehicle (UAV) surveying and mapping, and ground penetrating radar (GPR). A workflow of UAV data processing has been established, and a 3D dig
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Yu F., and Hsien C. Wang. "New Technique to Quantitatively Characterize Crosslink Density in IR and Brominated Poly(Isobutylene-CO-Paramethyl Styrene) Blends." Rubber Chemistry and Technology 70, no. 4 (1997): 663–70. http://dx.doi.org/10.5254/1.3538452.

Full text
Abstract:
Abstract The physical properties and application performance of rubber blends are highly dependent on the curing behavior of blend components, morphology, and network structure. Crosslink density or molecular weight between crosslinks characterizes the network structure. It is desirable to develop correlations between product attributes, such as flex, ozone resistance, and permeability with crosslink density of the individual phase in the blend. This will aid developing high performance rubber blends via curative systems, elastomer components and concentration, bromine composition distribution
APA, Harvard, Vancouver, ISO, and other styles
8

Xu, Dongpo, Hua Gao, and Danilo P. Mandic. "A new proof of the generalized Hamiltonian–Real calculus." Royal Society Open Science 3, no. 9 (2016): 160211. http://dx.doi.org/10.1098/rsos.160211.

Full text
Abstract:
The recently introduced generalized Hamiltonian–Real (GHR) calculus comprises, for the first time, the product and chain rules that makes it a powerful tool for quaternion-based optimization and adaptive signal processing. In this paper, we introduce novel dual relationships between the GHR calculus and multivariate real calculus, in order to provide a new, simpler proof of the GHR derivative rules. This further reinforces the theoretical foundation of the GHR calculus and provides a convenient methodology for generic extensions of real- and complex-valued learning algorithms to the quaternion
APA, Harvard, Vancouver, ISO, and other styles
9

Xiao, Cong, Leng Tian, Lufeng Zhang, Guangdong Wang, and Ya Deng. "Distributed Gauss-Newton Optimization with Smooth Local Parameterization for Large-Scale History-Matching Problems." SPE Journal 25, no. 01 (2019): 056–80. http://dx.doi.org/10.2118/198913-pa.

Full text
Abstract:
Summary Finding multiple posterior realizations through a reservoir history-matching procedure is of significance for uncertainty quantification, risk analysis, and decision making in the course of reservoir closed-loop management. Previously, an efficient, distributed, optimization algorithm—global linear-regression (GLR) with distributed Gauss-Newton (GLR-DGN)—has been proposed in the literature to iteratively minimize multiple objective functions by performing Gauss-Newton (GN) optimizations concurrently while dynamically sharing information between dispersed regions in a reduced parameter
APA, Harvard, Vancouver, ISO, and other styles
10

Xu, Dongpo, Cyrus Jahanchahi, Clive C. Took, and Danilo P. Mandic. "Enabling quaternion derivatives: the generalized HR calculus." Royal Society Open Science 2, no. 8 (2015): 150255. http://dx.doi.org/10.1098/rsos.150255.

Full text
Abstract:
Quaternion derivatives exist only for a very restricted class of analytic (regular) functions; however, in many applications, functions of interest are real-valued and hence not analytic, a typical case being the standard real mean square error objective function. The recent HR calculus is a step forward and provides a way to calculate derivatives and gradients of both analytic and non-analytic functions of quaternion variables; however, the HR calculus can become cumbersome in complex optimization problems due to the lack of rigorous product and chain rules, a consequence of the non-commutati
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "GPR processing optimization"

1

Široký, Jakub. "Interpretace georadarových měření s využitím kombinovaného geoelektrického průzkumu." Master's thesis, 2016. http://www.nusl.cz/ntk/nusl-347653.

Full text
Abstract:
GPR data interpretation is often difficult due to complex geological environments, reflections ambiguity and time-depth conversion uncertainty. Thanks to the geophysical fields interoperability it is possible to compare results of related survey methods. Radargrams from three model sites were processed and interpreted in an usual way to uniformly amplify all recorded reflections. Results were compared with ERT and EM (DEMP) data within integrated interpretation. GPR data interpretation was extended and new geological and geomorphological interpretations were uncovered. The GPR processing seque
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "GPR processing optimization"

1

Sebastian, H. J. System Modelling and Optimization: Proceedings of the 14th Ifip-Conference Leipzig, Gdr, July 3-7, 1989 (International Federation for Information Processing). Springer, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "GPR processing optimization"

1

Chatterjee, Ayan, and Mahendra Rong. "Efficiency Analysis of Genetic Algorithm and Genetic Programming in Data Mining and Image Processing." In Handbook of Research on Manufacturing Process Modeling and Optimization Strategies. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2440-3.ch016.

Full text
Abstract:
Today, in the age of artificial intelligence and machine learning, Data mining and Image processing are two important platforms. GA and GP are value based and program based randomized searching tools respectively and these two are very much useful in the fields' data mining and image processing for handling different issues. In this chapter, a review is made on ability of GA and GP in some applications of these two fields. Here, the selected subfields of data mining are market analysis, fraud detection, risk management, sports analysis, protein interaction, classification of data, drug discovery and feature construction. The similar in image processing are enhancement and segmentation of images, face recognition, photo mosaic generation, data embedding, image pattern classification, object detection and Graphics Processor Unit (GPU) development. The efficiencies of GA and GP in these particular applications are analyzed with corresponding parameters, comparing with other non-GA and non-GP approaches of the corresponding subfields.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "GPR processing optimization"

1

Zhu, Weihang. "Parallel Biogeography-Based Optimization With GPU Acceleration for Nonlinear Optimization." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28102.

Full text
Abstract:
This paper presents a massively parallel Biogeography-based Optimization – Pattern Search (BBO-PS) algorithm with graphics hardware acceleration on bound constrained optimization problems. The objective of this study was to determine the effectiveness of using Graphics Processing Units (GPU) as a hardware platform for BBO-PS. GPU, the common graphics hardware found in modern personal computers (PC), can be used for data-parallel computing in a desktop setting. In this research, the BBO was adapted in the data-parallel GPU computing platform featuring ‘Single Instruction – Multiple Thread’ (SIM
APA, Harvard, Vancouver, ISO, and other styles
2

Zhu, Weihang. "Parallel Population Based Incremental Learning With GPU Acceleration for Nonlinear Optimization." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86129.

Full text
Abstract:
This paper presents a GPU-based parallel Population Based Incremental Learning (PBIL) algorithm with a local search on bound constrained optimization problems. The genotype of an entire population is evolved in PBIL, which was derived from Genetic Algorithms. Graphics Processing Units (GPU) is an emerging technology for desktop parallel computing. In this research, the classical PBIL is adapted in the data-parallel GPU computing platform. The global optimal search of the PBIL is enhanced by a local Pattern Search method. The hybrid PBIL method is implemented in the GPU environment, and compare
APA, Harvard, Vancouver, ISO, and other styles
3

Konobrytskyi, Dmytro, Thomas Kurfess, Joshua Tarbutton, and Tommy Tucker. "GPGPU Accelerated 3-Axis CNC Machining Simulation." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1096.

Full text
Abstract:
GPUs (Graphics Processing Units), traditionally used for 3D graphics calculations, have recently got an ability to perform general purpose calculations with a GPGPU (General Purpose GPU) technology. Moreover, GPUs can be much faster than CPUs (Central Processing Units) by performing hundreds or even thousands commands concurrently. This parallel processing allows the GPU achieving the extremely high performance but also requires using only highly parallel algorithms which can provide enough commands on each clock cycle. This work formulates a methodology for selection of a right geometry repre
APA, Harvard, Vancouver, ISO, and other styles
4

Zhu, Weihang, James Curry, Anjali Mishra, and Victor Zaloom. "Sequence Dependent Parallel Machine Scheduling Using Parallel Ant Colony Optimization With Graphics Hardware Acceleration." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84145.

Full text
Abstract:
This paper studies the effectiveness of using parallel Ant Colony Optimization for sequence dependent parallel machine scheduling on a Graphics Processing Unit (GPU) hardware platform. Parallel machine scheduling is a traditional NP-hard combinatorial optimization problem. In this research, a hybrid ant colony optimization method that combines the ‘Apparent Tardiness Cost with Setups’ (ATCS) dispatching rule with massive ants is proposed to solve the parallel machine scheduling problem quickly and efficiently. The computational results demonstrate that the proposed method is effective and solv
APA, Harvard, Vancouver, ISO, and other styles
5

Pecenin, Marcelo, André Murbach Maidl, and Daniel Weingaertner. "Optimization of Halide Image Processing Schedules with Reinforcement Learning." In XX Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2019. http://dx.doi.org/10.5753/wscad.2019.8655.

Full text
Abstract:
Writing efficient image processing code is a very demanding task and much programming effort is put into porting existing code to new generations of hardware. Besides, the definition of what is an efficient code varies according to the desired optimization target, such as runtime, energy consumption or memory usage. We present a semi-automatic schedule generation system for the Halide DSL that uses a Reinforcement Learning agent to choose a set of scheduling options that optimizes the runtime of the resulting application. We compare our results to the state of the art implementations of three
APA, Harvard, Vancouver, ISO, and other styles
6

Wu, Zhengkai, Thomas M. Tucker, Chandra Nath, Thomas R. Kurfess, and Richard W. Vuduc. "Step Ring Based 3D Path Planning via GPU Simulation for Subtractive 3D Printing." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8751.

Full text
Abstract:
In this paper, both software model visualization with path simulation and associated machining product are produced based on the step ring based 3-axis path planning to demo model-driven graphics processing unit (GPU) feature in tool path planning and 3D image model classification by GPU simulation. Subtractive 3D printing (i.e., 3D machining) is represented as integration between 3D printing modeling and CNC machining via GPU simulated software. Path planning is applied through material surface removal visualization in high resolution and 3D path simulation via ring selective path planning ba
APA, Harvard, Vancouver, ISO, and other styles
7

Shao, Shuai, Tianyi Gao, Huawei Yang, Jie Zhao, and Jiajun Zhang. "Evaluation of Single Phase Immersion Cooling System for High Performance Server Chassis Using Dielectric Coolants." In ASME 2020 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipack2020-2670.

Full text
Abstract:
Abstract Along with advancements in microelectronics packaging, the power density of processor units has steadily increased over time. Data center servers equipped for high performance computing (HPC) often use multiple central processing units (CPUs) and graphical processing units (GPUs), thereby resulting in an increased power density, exceeding 1 kW per U. Many data center organizations are evaluating single phase immersion technology as a potential energy and resource saving cooling option. In this work immersion cooling was studied at a power level of 2.7kW/U with a 5U-height immersion co
APA, Harvard, Vancouver, ISO, and other styles
8

Komarov, Ivan, Samuel T. Alberts, and Roshan M. D’Souza. "Towards Physics-Based Interactive Design for Manufacturing of Cast Parts Using Smoothed Particle Hydrodynamics on GPUs." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48598.

Full text
Abstract:
The current state-of-the art interactive Design for Manufacturing (DFM) for casting is limited to checking designs for correct draft angles and undercuts. DFM for mold filling is limited to finding thin sections in the part. Efforts towards developing an interactive physics-based DFM tool to check design for mold fillability at the detailed design stage are described in this paper. The presented approach incorporates a numerical simulation of the flow of the melt into part geometry. The Smoothed Particle Hydrodynamics (SPH) method, a mesh-free, particle-based, technique, is used to handle free
APA, Harvard, Vancouver, ISO, and other styles
9

Pazouki, Arman, Hammad Mazhar, and Dan Negrut. "Parallel Ellipsoid Collision Detection With Applications in Contact Dynamics." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29073.

Full text
Abstract:
This work concentrates on the contact detection of ellipsoids, an enhancement to collision detection which can be used to study the dynamics of multibody systems with frictional contact. A first method for contact detection is posed as an unconstrained optimization problem. This method, while computationally demanding, can find the contact parameters as well as determine the state of the contact of two ellipsoids. Next, a method is presented that is approximately two orders of magnitudes more efficient in finding the contact state of two ellipsoids. However, it cannot find the contact paramete
APA, Harvard, Vancouver, ISO, and other styles
10

Sheung, Hoi, Siu-Ping Mok, and Charlie C. L. Wang. "A Highly Parallel Approach to Meshing Scattered Point Data." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86936.

Full text
Abstract:
In this paper, we present a parallel mesh surface generation approach for unorganized point clouds that runs on the graphics processing unit (GPU). Our approach integrates point cloud simplification, point cloud optimization, and local triangulation techniques into the same framework. The input point cloud will be processed through three steps of algorithms, which are 1) preprocessing: to generate the neighborhood table of points and estimate the normal vectors, 2) clustering: to group points into optimized clusters that minimize the shape approximation error, and 3) meshing: to connect the se
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'GPR processing optimization' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography