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Satellite-based InSAR Geodesy and Collocation with GNSS

Procedia computer science 2024年 239卷 2329-2340页

作者： Juraj Papco Matus Bakon Lukas Kubica Gabika Belicova Branislav Droscak Martin Ferianc Martin Rovnak Antonio M. Ruiz Joaquim J. Sousa Department of Theoretical Geodesy and Geoinformatics Faculty of Civil Engineering Slovak University of Technology in Bratislava Radlinskeho 11 813 62 Bratislava Slovakia insar.sk Ltd Konstantinova 3 080 01 Presov Slovakia Department of Finance Accounting and Mathematical Methods Faculty of Management and Business University of Presov Konstantinova 16 080 01 Presov Slovakia Department of Engineering School of Sciences and Technology Universidade de Trás-os-Montes e Alto Douro Quinta de Prados 5000-801 Vila Real Portugal Geodetic and Cartographic Institute Bratislava Chlumeckeho 4 827 45 Bratislava Slovakia Department of Cartographic Geodetic and Photogrammetry Engineering University of Jaén Campus Las Lagunillas s/n 23071 Jaén Spain Center for Advanced Studies in Earth Sciences Energy and Environment (CEACTEMA) University of Jaén Campus Las Lagunillas s/n 23071 Jaén Spain Research Group RNM-282 Microgeodesia Jaén University of Jaén Campus Las Lagunillas s/n 23071 Jaén Spain Institute for Systems and Computer Engineering Technology and Science INESC-TEC 4200-465 Porto Portugal

Satellite radar interferometry (InSAR) enables large-scale monitoring of displacement with precision akin to ground-based methods. Using measurements from Sentinel-1 satellites, persistent scatterer networks cover areas up to hundreds of kilometers in size. One of the current challenges for the InSAR community is to tie these networks into a current and country-specific global terrestrial reference system through collocation with other geodetic techniques, especially Global Navigation Satellite Systems (GNSS). In this work, an optimal procedure for assessing a suitable collocation properties for InSAR and GNSS techniques is discussed, along with the proposal for the methodology to determine the spatial relationship between the reference points of both techniques. The study analyzes three collocation stations in Slovakia using their radar backscattering characteristics. InSAR achieves an intrinsic accuracy of up to 1 mm but has uncertainties several orders of magnitude larger in 3D space. A collocation of InSAR measurements with GNSS can tie relative InSAR displacement estimates to an absolute reference frame.

关键词： InSAR geodesy collocation GNSS

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An approach for realistically simulating the performance of scientific applications on high performance computing systems

arXiv

引用

arXiv 2019年

作者： Mohammed, Ali Eleliemy, Ahmed Ciorba, Florina M. Kasielke, Franziska Banicescu, Ioana Department of Mathematics and Computer Science University of Basel Switzerland Institute of Software Methods for Product Virtualization German Aerospace Center Germany Department of Computer Science and Engineering Mississippi State University United States

Scientific applications often contain large, computationally-intensive, and irregular parallel loops or tasks that exhibit stochastic characteristics. Applications may suffer from load imbalance during their execution on high-performance computing (HPC) systems due to such characteristics. Dynamic loop self-scheduling (DLS) techniques are instrumental in improving the performance of scientific applications on HPC systems via load balancing. Selecting a DLS technique that results in the best performance for different problems and system sizes requires a large number of exploratory experiments. A theoretical model that can be used to predict the scheduling technique that yields the best performance for a given problem and system has not yet been identified. Therefore, simulation is the most appropriate approach for conducting such exploratory experiments with reasonable costs. This work devises an approach to realistically simulate computationally-intensive scientific applications that employ DLS and execute on HPC systems. Several approaches to represent the application tasks (or loop iterations) are compared to establish their influence on the simulative application performance. A novel simulation strategy is introduced, which transforms a native application code into a simulative code. The native and simulative performance of two computationally-intensive scientific applications are compared to evaluate the realism of the proposed simulation approach. The comparison of the performance characteristics extracted from the native and simulative performance shows that the proposed simulation approach fully captured most of the performance characteristics of interest. This work shows and establishes the importance of simulations that realistically predict the performance of DLS techniques for different applications and system configurations. Copyright © 2019, The Authors. All rights reserved.

关键词： Benchmarking

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Realistic Kilonova Up Close

arXiv

引用

arXiv 2022年

作者： Stewart, Alexandra Ruth Lo, Li-Ta Korobkin, Oleg Sagert, Irina Loiseau, Julien Lim, Hyun Kaltenborn, Mark Alexander Mauney, Christopher Michael Miller, Jonah Maxwell CCS-2 Computational Physics and Methods Los Alamos National Laboratories Los AlamosNM87545 United States CCS-3 Information Sciences Los Alamos National Laboratories Los AlamosNM87545 United States CCS-7 Applied Computer Science Los Alamos National Laboratories Los AlamosNM87545 United States HPC Environments Los Alamos National Laboratories Los AlamosNM87545 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics The George Washington University WashingtonDC20052 United States

Neutron star mergers are cosmic catastrophes that produce some of the most energetic observed phenomena: short gamma-ray bursts, gravitational wave signals, and kilonovae. The latter are optical transients, powered by radioactive nuclides which are synthesized when the neutron-rich ejecta of a disrupted neutron star undergoes decompression. We model this decompression phase using data from simulations of post-merger accretion disk winds. We use smoothed particle hydrodynamics with realistic nuclear heating to model the expansion over multiple scales, from initially several thousand km to billions of km. We then render a realistic image of a kilonova ejecta as it would appear for a nearby observer. This is the first time such a visualization is performed using input from state-of-the-art accretion disk simulations, nuclear physics and atomic physics. The volume rendering in our model computes an opacity transfer function on the basis of the physical opacity, varying significantly with the inhomogeneity of the neutron richness in the ejecta. Other physical quantities such as temperature or electron fraction can be visualized using an independent color transfer function. We discuss several difficulties with the ParaView application that we encountered during the visualization process, and give descriptions of our solutions and workarounds which could be used for future improvements. © 2022, CC BY.

关键词： Merging

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Particle In Cell Simulations of Mildly Relativistic Outflows in Kilonova Emissions

arXiv

引用

arXiv 2023年

作者： Rassel, Mohira Kilian, Patrick Aberham, Vito Spanier, Felix Lloyd-Ronning, Nicole Fryer, Chris L. Center for Theoretical Astrophysics Los Alamos National Laboratory Los AlamosNM87545 United States Center for Non Linear Studies Los Alamos National Laboratory Los AlamosNM87545 United States Space Science Institute 4765 Walnut St Suite B BoulderCO80301 United States Institut für Theoretische Astrophysik Universität Heidelberg Heidelberg69120 Germany Computational Physics and Methods Group Los Alamos National Laboratory Los AlamosNM87545 United States Department of Math Engineering & Science University of New Mexico Los AlamosNM87545 United States Computer Computational and Statistical Sciences Division Los Alamos National Laboratory Los AlamosNM87545 United States The University of Arizona TucsonAZ85721 United States Department of Physics and Astronomy The University of New Mexico AlbuquerqueNM87131 United States The George Washington University WashingtonDC20052 United States

The electromagnetic emission from neutron star mergers is comprised of multiple components. Synchrotron emission from the disk-powered jet as well as thermal emission from the merger ejecta (powered by a variety of sources) are among the most studied sources. The low masses and high velocities of the merger ejecta quickly develop conditions where emission from collisionless shocks becomes critical and synchrotron emission from the merger ejecta constitutes a third component to the observed signal. The aim of this project is to examine shock development, magnetic field generation and particle acceleration in the case of mildly relativistic shocks, which are expected when the tidal ejecta of neutron star mergers drive a shock into the external medium. Using LANL’s VPIC (vector particle-in-cell) code, we have run simulations of such mildly-relativistic, collisionless, weakly-magnetized plasmas and compute the resultant magnetic fields and particle energy spectra. We show the effects of varying plasma conditions, as well as explore the validity of using different proton to electron mass ratios in VPIC. Our results have implications for observing late-time electromagnetic counterparts to gravitational wave detections of neutron star mergers. Copyright © 2023, The Authors. All rights reserved.

关键词： Merging

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Enhancing image quality in fast neutron-based range verification of proton therapy using a deep learning-based prior in LM-MAP-EM reconstruction

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Physics in medicine and biology 2025年第12期70卷 2025 Jun 5页

作者： Lena Marie Setterdahl Kyrre Skjerdal Hunter Nathaniel Ratliff Kristian Smeland Ytre-Hauge William R B Lionheart Sean Holman Helge Egil Seime Pettersen Francesco Blangiardi Danny Lathouwers Ilker Meric Department of Computer science Electrical engineering and Mathematical sciences Western Norway University of Applied Sciences Inndalsveien 28 Bergen Hordaland 5063 NORWAY. Department of Physics and Technology University of Bergen Allégaten 55 Bergen Hordaland 5007 NORWAY. Department of Mathematics The University of Manchester Alan Turing Building Upper Brook St Manchester England M13 9SR UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND. Department of Oncology and Medical Physics Haukeland Universitetssjukehus Jonas Lies veg 65 Postboks 1400 Bergen Hordaland 5021 NORWAY. Technology Methods and Systems Data Based Methods Fraunhofer Institute for Electronic Nano Systems ENAS Technologie-Campus 3 Chemnitz SN 09126 GERMANY. Department of Radiation Science and Technology Delft University of Technology Mekelweg 15 Delft 2629 JD NETHERLANDS. Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Inndalsveien 28 Bergen Hordaland 5063 NORWAY.

This study investigates the use of list-mode (LM) maximum a posteriori (MAP) expectation maximization (EM) incorporating prior information predicted by a convolutional neural network for image reconstruction in fast neutron (FN)-based proton therapy range verification. Approach. A conditional generative adversarial network (pix2pix) was trained on progressively noisier data, where detector resolution effects were introduced gradually to simulate realistic conditions. FN data were generated using Monte Carlo simulations of an 85 MeV proton pencil beam in a computed tomography (CT)-based lung cancer patient model, with range shifts emulating weight gain and loss. The network was trained to estimate the expected two-dimensional (2D) ground truth FN production distribution from simple back-projection images. Performance was evaluated using mean squared error (MSE), structural similarity index (SSIM), and the correlation between shifts in predicted distributions and true range shifts. Main results. Our results show that pix2pix performs well on noise-free data but suffers from significant degradation when detector resolution effects are introduced. Among the LM-MAP-EM approaches tested, incorporating a mean prior estimate into the reconstruction process improved performance, with LM-MAP-EM using a mean prior estimate outperforming naïve LM maximum likelihood EM (LM-MLEM) and conventional LM-MAP-EM with a smoothing quadratic energy function in terms of SSIM. Significance. Findings suggest that deep learning techniques can enhance iterative reconstruction for range verification in proton therapy. However, the effectiveness of the model is highly dependent on data quality, limiting its robustness in high-noise scenarios. .

关键词： LM-MAP-EM Monte Carlo simulation fast neutron imaging generative adversarial network organic scintillators proton therapy range verification

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Harmonized-Multinational qEEG norms (HarMNqEEG)

引用

NEUROIMAGE 2022年 256卷 119190-119190页

作者： Li, Min Wang, Ying Lopez-Naranjo, Carlos Hu, Shiang Reyes, Ronaldo Cesar Garcia Paz-Linares, Deirel Areces-Gonzalez, Ariosky Hamid, Aini Ismafairus Abd Evans, Alan C. Savostyanov, Alexander N. Calzada-Reyes, Ana Villringer, Arno Tobon-Quintero, Carlos A. Garcia-Agustin, Daysi Yao, Dezhong Dong, Li Aubert-Vazquez, Eduardo Reza, Faruque Razzaq, Fuleah Abdul Omar, Hazim Abdullah, Jafri Malin Galler, Janina R. Ochoa-Gomez, John F. Prichep, Leslie S. Galan-Garcia, Lidice Morales-Chacon, Lilia Valdes-Sosa, Mitchell J. Trondle, Marius Zulkifly, Mohd Faizal Mohd Rahman, Muhammad Riddha Bin Abdul Milakhina, Natalya S. Langer, Nicolas Rudych, Pavel Koenig, Thomas Virues-Alba, Trinidad A. Lei, Xu Bringas-Vega, Maria L. Bosch-Bayard, Jorge F. Valdes-Sosa, Pedro Antonio [a]The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuroinformation School of Life Science and Technology University of Electronic Science and Technology of China Chengdu China [b]Cuban Center for Neurocience La Habana Cuba [c]McGill Centre for Integrative Neuroscience Ludmer Centre for Neuroinformatics and Mental Health Montreal Neurological Institute Canada [d]Department of Neurosciences School of Medical Sciences Universiti Sains Malaysia Universiti Sains Malaysia Health Campus Kota Bharu Kelantan 16150 Malaysia [e]Brain and Behaviour Cluster School of Medical Sciences Universiti Sains Malaysia Health Campus Kota Bharu Kelantan 16150 Malaysia [f]Hospital Universiti Sains Malaysia Universiti Sains Malaysia Health Campus Kota Bharu Kelantan 16150 Malaysia [g]Humanitarian Institute Novosibirsk State University Novosibirsk 630090 Russia [h]Laboratory of Psychophysiology of Individual Differences Federal State Budgetary Scientific Institution Scientific Research Institute of Neurosciences and Medicine Novosibirsk 630117 Russia [i]Laboratory of Psychological Genetics at the Institute of Cytology and Genetics Siberian Branch of the Russian Academy of Sciences Novosibirsk 630090 Russia [j]University of Pinar del Río “Hermanos Saiz Montes de Oca” Pinar del Río Cuba [k]Department of Neurology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany [l]Department of Cognitive Neurology University Hospital Leipzig Leipzig Germany [m]Center for Stroke Research Charité-Universitätsmedizin Berlin Berlin Germany [n]Grupo Neuropsicología y Conducta - GRUNECO Faculty of Medicine Universidad de Antioquia Colombia [o]Research Department Institución Prestadora de Servicios de Salud IPS Universitaria Colombia [p]The Cuban center aging longevity and health Havana Cuba [q]Research Unit of NeuroInformation Chinese Academy of Medical Sciences Chengdu 2019RU035 China [r]School of Electrical Engineering Zhengzhou University Zhengzhou 4500

This paper extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional connectivity descriptors. Lack of geographical diversity precluded accounting for site-specific variance, increasing qEEG nuisance variance. We ameliorate these weaknesses. (i) Create lifespan Riemannian multinational qEEG norms for cross-spectral tensors. These norms result from the HarMNqEEG project fostered by the Global Brain Consortium. We calculate the norms with data from 9 countries, 12 devices, and 14 studies, including 1564 subjects. Instead of raw data, only anonymized metadata and EEG cross spectral tensors were shared. After visual and automatic quality control, developmental equations for the mean and standard deviation of qEEG traditional and Riemannian DPs were calculated using additive mixed-effects models. We demonstrate qEEG "batch effects " and provide methods to calculate harmonized z-scores. (ii) We also show that harmonized Riemannian norms produce z-scores with increased diagnostic accuracy predicting brain dysfunction produced by malnutrition in the first year of life and detecting COVID induced brain dysfunction. (iii) We offer open code and data to calculate different individual z-scores from the HarMNqEEG dataset. These results contribute to developing bias-free, low-cost neuroimaging technologies applicable in various health settings.

关键词： Quantitative EEG EEG cross-spectrum Riemannian geometry Batch effects Z-score Harmonization Malnutrition Covid induced brain dysfunction Developmental Brain Chart

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Rate equations for graphs

arXiv

引用

arXiv 2020年

作者： Danos, Vincent Heindel, Tobias Honorato-Zimmer, Ricardo Stucki, Sandro CNRS ENS-PSL INRIA Paris France Institute of Commercial Information Technology and Quantitative Methods Technische Universität Berlin Germany Centro Interdisciplinario de Neurociencia de Valparaíso Universidad de Valparaíso Chile Dept. of Computer Science and Engineering University of Gothenburg Sweden

In this paper, we combine ideas from two different scientific traditions: 1) graph transformation systems (GTSs) stemming from the theory of formal languages and concurrency, and 2) mean field approximations (MFAs), a collection of approximation techniques ubiquitous in the study of complex dynamics. Using existing tools from algebraic graph rewriting, as well as new ones, we build a framework which generates rate equations for stochastic GTSs and from which one can derive MFAs of any order (no longer limited to the humanly computable). The procedure for deriving rate equations and their approximations can be automated. An implementation and example models are available online at https://***/fragger. We apply our techniques and tools to derive an expression for the mean velocity of a two-legged walker protein on DNA. Copyright © 2020, The Authors. All rights reserved.

关键词： Formal languages

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Waste heat harness in a thermal energy system using TEGs, and SCO 2 brayton cycle driven by renewable sources for electricity and liquid hydrogen Production: Thermo-Economic optimization using ANNs

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Case Studies in Thermal Engineering 2025年 72卷

作者： Amr S. Abouzied Sarminah Samad Pradeep Kumar Singh Ahmed H. Janabi Mohamed Shaban Asma Ahmed A. Mohammed Shoira Formanova H. Elhosiny Ali Samah G. Babiker Abdulrahman M. Alansari Department of Pharmaceutical Chemistry College of Pharmacy University of Hail Hail 81442 Saudi Arabia Department of Management College of Business Administration Princess Nourah Bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Mechanical Engineering Institute of Engineering & Technology GLA University Mathura U.P. 281406 India Computer Techniques Engineering Department College of Engineering & Technology Al-Mustaqbal University Babylon Iraq Department of Physics Faculty of Science Islamic University of Madinah Madinah 42351 Saudi Arabia Department of Computer Science University of Tabuk Saudi Arabia Department of Chemistry and Its Teaching Methods Tashkent State Pedagogical University Tashkent Uzbekistan Physics Department Faculty of Science King Khalid University P.O. Box 9004 Abha Saudi Arabia Department of Electronic Physics Faculty of Applied Science Red Sea University Port Sudan Sudan Department of Mechanical Engineering College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia

This research introduces an innovative thermal energy system that combines solar and wind energy to produce electricity, generate hydrogen, and facilitate liquefaction. This system includes a parabolic trough solar collector (PTSC) that heats nitrate salts, transferring the thermal energy to a supercritical carbon dioxide Brayton cycle (SCO 2 -BC). Furthermore, thermoelectric generators (TEG) are integrated to capture energy from waste heat sources. Additionally, this study breaks new ground by incorporating solar and wind power with a supercritical CO 2 cycle alongside hydrogen liquefaction, a field that is still relatively uncharted. A detailed techno-economic and environmental model is utilized to assess the system's performance, concentrating on critical indicators such as second law efficiency, total cost rate, hydrogen production rate, net power output, levelized costs, and the rate of CO 2 emission reduction. Following this, an optimization process is carried out using a genetic algorithm to investigate two different scenarios. Finally, the LINMAP method is applied to identify optimal solutions for each scenario. The study reveals that the system generated a grid power output of 461.2 kW and produced 8.3 kg of liquid hydrogen per hour. The overall cost of operation was established at 103.8 $/h with an exergy efficiency of 16.2 %. Further refinements resulted in values of 19.33 % for second-law efficiency, 124.80 $/h for cost rate, and 1021.64 kW for grid power.

关键词： Waste heat recovery Thermal energy utilization Parabolic trough solar collectors Thermoelectric generators Claude liquid hydrogen production Artificial neural networks and genetic algorithm

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Mathematical model for heterogeneous databases parameters estimation in distributed systems with dynamic structure 2

Mathematical model for heterogeneous databases parameters es...

引用

2nd IEEE International Conference on Advanced Trends in Information Theory, ATIT 2020

作者： Mukhin, Vadym Kornaga, Yaroslav Bondarenko, Viktor Zavgorodnii, Valerii Herasymenko, Oksana Sholokhov, Oleksii National Technical University of Ukraine 'Igor Sikorsky Kiev Polytechnic Institute' Dept. of Mathematical Methods of System Analysis Kiev Ukraine Dept. of Technical Cybernetics National Technical University of Ukraine "igor Sikorsky Kiev Polytechnic Institute" Kiev Ukraine National University of Life and Environmental Sciences of Ukraine Deptatment of Computer Science Kiev Ukraine State University of Infrastructure and Technologies Department of Information Technology and Desing Kiev Ukraine Taras Shevchenko National University of Kiev Dept. of Networking and Internet Technologies Kiev Ukraine Taras Shevchenko National University of Kiev Dept. of Applied Information Systems Kiev Ukraine

ISBN: (纸本)9781728197999

A model for information processing parameters estimation in distributed systems with a dynamic structure that realize the heterogeneous distributed databases is suggested. The model is based on the choice of the tuple of parameters of the distributed system and takes into account the limitations, which allows formalize the structure for query processing control in distributed *** suggested model allows develop the new models and methods to support the effective control of the distributed data processing system with dynamic structure. © 2020 IEEE.

关键词： Parameter estimation

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FOOTPRINT OF PUBLICATION SELECTION BIAS ON META-ANALYSES IN MEDICINE, ENVIRONMENTAL scienceS, PSYCHOLOGY, AND ECONOMICS

arXiv

引用

arXiv 2022年

作者： Bartoš, František Maier, Maximilian Wagenmakers, Eric-Jan Nippold, Franziska Doucouliagos, Hristos Ioannidis, John P.A. Otte, Willem M. Sladekova, Martina Deresssa, Teshome K. Bruns, Stephan B. Fanelli, Daniele Stanley, T.D. Department of Psychological Methods University of Amsterdam Netherlands Institute of Computer Science Czech Academy of Sciences Czech Republic Department of Experimental Psychology University College London United Kingdom Department of Economics Deakin University Australia United States Department of Epidemiology and Population Health Stanford University School of Medicine United States Stanford Prevention Research Center Department of Medicine Stanford University School of Medicine United States Department of Biomedical Data Science Stanford University School of Medicine United States Department of Statistics Stanford University School of Humanities and Sciences United States Department of Pediatric Neurology UMC Utrecht Brain Center University Medical Center Utrecht Utrecht University Netherlands School of Psychology University of Sussex United Kingdom Centre for Environmental Sciences Hasselt University Belgium Department of Economics University of Göttingen Germany Department of Methodology London School of Economics and Political Science United Kingdom School of Social Sciences Heriot-Watt University United Kingdom

Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that meta-analyses in economics are the most severely contaminated by publication selection bias, closely followed by meta-analyses in environmental sciences and psychology, whereas meta-analyses in medicine are contaminated the least. After adjusting for publication selection bias, the median probability of the presence of an effect decreased from 99.9% to 29.7% in economics, from 98.9% to 55.7% in psychology, from 99.8% to 70.7% in environmental sciences, and from 38.0% to 29.7% in medicine. The median absolute effect sizes (in terms of standardized mean differences) decreased from d = 0.20 to d = 0.07 in economics, from d = 0.37 to d = 0.26 in psychology, from d = 0.62 to d = 0.43 in environmental sciences, and from d = 0.24 to d = 0.13 in medicine. © 2022, CC BY.

关键词： Economic analysis

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