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2019 International Conference on Engineering Applications, ICEA 2019

作者： Santos, Victor D.N. Neves, Bernardino Ferreira, N.M. Fonseca Coimbra Polytechnic ISEC Rua Pedro Nunes-Quinta da Nora Coimbra3030-199 Portugal Institute for Systems and Computers Engineering at Coimbra INESC Coimbra Rua Sílvio Lima Pólo II DEEC Coimbra3030-790 Portugal Technology and Science-INESC TEC Institute for Systems and Computer Eng. Rua Dr. Roberto Frias Porto4200-465 Portugal

ISBN: (纸本)9781728129624

This paper presents a novel radio localization system based on radio signal strength measurements to estimate the location of animals on a farm. The system uses low-cost mobile devices based on a microcontroller, a radio transceiver and an antenna. The developed solution works on the 433 MHz band and comprises innovative protocols that use the radio wake-up concept in order to minimize the mobile unit energy consumption, promoting that way its autonomy. A software application was developed to track the animals on a real-time basis using the Internet of Things paradigm. © 2019 IEEE.

关键词： Animals

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Exploring the large-Nc limit with one quark flavour

arXiv

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arXiv 2022年

作者： Della Morte, Michele Jäger, Benjamin Martins, Sofie Sannino, Francesco Tsang, J. Tobias Ziegler, Felix P.G. CP3-Origins Dept. of Mathematics and Computer Science University of Southern Denmark Campusvej 55 Odense M5230 Denmark Danish Institute for Advanced Study University of Southern Denmark Campusvej 55 Odense M5230 Denmark CP3-Origins Dept. of Physics Chemistry and Pharmacy University of Southern Denmark Campusvej 55 Odense M5230 Denmark Dipartimento di Fisica "E. Pancini" Università di Napoli Federico II INFN sezione di Napoli Complesso Universitario di Monte S. Angelo Edificio 6 via Cintia Napoli80126 Italy Department of Theoretical Physics CERN Geneva 231211 Switzerland School of Physics and Astronomy The University of Edinburgh EdinburghEH9 3FD United Kingdom

We use one-flavour QCD (Nc = 3) as a proxy to understand N = 1 SYM. For our simulations, we use tree-level improved Wilson fermions and a Symanzik improved gauge action. The hadron spectrum is obtained by using LapH smearing for different masses and simulation volumes. We also report on our efforts to increase the number of colours in our simulations, where we find that the simulations show increasing topological freezing for larger Nc. © 2022, CC BY.

关键词： Lattice theory

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Comparative cellular analysis of motor cortex in human, marmoset and mouse (vol 598, pg 111, 2021)

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NATURE 2022年第7904期604卷 E8-E8页

作者： Bakken, Trygve E. Jorstad, Nikolas L. Hu, Qiwen Lake, Blue B. Tian, Wei Kalmbach, Brian E. Crow, Megan Hodge, Rebecca D. Krienen, Fenna M. Sorensen, Staci A. Eggermont, Jeroen Yao, Zizhen Aevermann, Brian D. Aldridge, Andrew I. Bartlett, Anna Bertagnolli, Darren Casper, Tamara Castanon, Rosa G. Crichton, Kirsten Daigle, Tanya L. Dalley, Rachel Dee, Nick Dembrow, Nikolai Diep, Dinh Ding, Song-Lin Dong, Weixiu Fang, Rongxin Fischer, Stephan Goldman, Melissa Goldy, Jeff Graybuck, Lucas T. Herb, Brian R. Hou, Xiaomeng Kancherla, Jayaram Kroll, Matthew Lathia, Kanan van Lew, Baldur Li, Yang Eric Liu, Christine S. Liu, Hanqing Lucero, Jacinta D. Mahurkar, Anup McMillen, Delissa Miller, Jeremy A. Moussa, Marmar Nery, Joseph R. Nicovich, Philip R. Niu, Sheng-Yong Orvis, Joshua Osteen, Julia K. Owen, Scott Palmer, Carter R. Pham, Thanh Plongthongkum, Nongluk Poirion, Olivier Reed, Nora M. Rimorin, Christine Rivkin, Angeline Romanow, William J. Sedeno-Cortes, Adriana E. Siletti, Kimberly Somasundaram, Saroja Sulc, Josef Tieu, Michael Torkelson, Amy Tung, Herman Wang, Xinxin Xie, Fangming Yanny, Anna Marie Zhang, Renee Ament, Seth A. Behrens, M. Margarita Bravo, Hector Corrada Chun, Jerold Dobin, Alexander Gillis, Jesse Hertzano, Ronna Hof, Patrick R. Hollt, Thomas Horwitz, Gregory D. Keene, C. Dirk Kharchenko, Peter V. Ko, Andrew L. Lelieveldt, Boudewijn P. Luo, Chongyuan Mukamel, Eran A. Pinto-Duarte, Antonio Preiss, Sebastian Regev, Aviv Ren, Bing Scheuermann, Richard H. Smith, Kimberly Spain, William J. White, Owen R. Koch, Christof Hawrylycz, Michael Tasic, Bosiljka Macosko, Evan Z. McCarroll, Steven A. Ting, Jonathan T. Zeng, Hongkui Zhang, Kun Feng, Guoping Ecker, Joseph R. Linnarsson, Sten Lein, Ed S. Allen Institute for Brain Science Seattle WA USA Department of Physiology and Biophysics University of Washington Seattle WA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Bioengineering University of California San Diego La Jolla CA USA The Salk Institute for Biological Studies La Jolla CA USA Epilepsy Center of Excellence Department of Veterans Affairs Medical Center Seattle WA USA Stanley Institute for Cognitive Genomics Cold Spring Harbor Laboratory Cold Spring Harbor NY USA Department of Genetics Harvard Medical School Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA LKEB Department of Radiology Leiden University Medical Center Leiden The Netherlands Pattern Recognition and Bioinformatics group Delft University of Technology Delft The Netherlands J. Craig Venter Institute La Jolla CA USA Department of Pathology University of California San Diego CA USA Division of Vaccine Discovery La Jolla Institute for Immunology La Jolla CA USA Genomic Analysis Laboratory The Salk Institute for Biological Studies La Jolla CA USA Computer Science and Engineering Program University of California San Diego La Jolla CA USA Howard Hughes Medical Institute The Salk Institute for Biological Studies La Jolla CA USA Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA Institute for Genomes Sciences University of Maryland School of Medicine Baltimore MD USA Center for Epigenomics Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA Ludwig Institute for Cancer Research La Jolla CA USA Department of Computer Science University of Maryland College Park College Park MD USA Sanford Burnham Prebys Medical Discovery Institute La Jolla CA USA Biomedical Sciences Program School of Medicine University of California San Diego La Jolla CA USA University of Connecticut Storrs CT USA Department

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A new approach for motion estimation and correction of thermographic images in brain surgery 16

A new approach for motion estimation and correction of therm...

引用

16th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2018

作者： Moshaei-Nezhad, Yahya Müller, Jens Tetzlaff, Ronald Hoffmann, Nico Institute of Circuits and Systems Faculty of Electronic and Computer Engineering Technische Universität Dresden Dresden01062 Germany Clinical Sensoring and Monitoring Anesthesiology and Intensive Care Medicine Faculty of Medicine Carl Gustav Carus Technische Universität Dresden Dresden01307 Germany Institute of Computer Graphics and Visualization Faculty of Computer Science Technische Universität Dresden Dresden01062 Germany

ISBN: (纸本)9783800747665

Motion estimation and correction implementations are important components of medical image analysis. We present a new approach for motion estimation and correction of thermographic images in brain surgery. In a pre-processing step, the Phase Correlation (PC) method is performed in order to detect large displacements of objects in two successive images. Additionally, due to noise in thermographic images, a Cellular Nonlinear Network (CNN) based image enhancement method is applied. Then, in the following processing step, the Optical Flow (OF) method is employed to compensate local motion artifacts. The proposed algorithm is evaluated during an offline analysis of the recorded dataset of brain surgeries and the performance evaluation between different algorithms is made based on the determination of the Normalized Cross-Correlation (NCC). The results clearly indicate that the proposed algorithm is able to reduce breathing motion artifacts effectively as well as the NCC evaluation show better results in comparison to other mentioned algorithms. © VDE VERLAG GMBH.

关键词： Surgery

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Higher-order moments of the elliptic flow distribution in PbPb collisions at sNN = 5.02 TeV

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Journal of High Energy Physics 2024年第2期2024卷 1-45页

作者： Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Lechner, L. Liko, D. Mikulec, I. Paulitsch, P. Pitters, F.M. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Kello, T. Rejeb Sfar, H. Van Mechelen, P. Bols, E.S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Moortgat, S. Morton, A. Müller, D. Sahasransu, A.R. Tavernier, S. Van Doninck, W. Vannerom, D. Clerbaux, B. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. Lee, K. Mahdavikhorrami, M. Makarenko, I. Malara, A. Paredes, S. Pétré, L. Postiau, N. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. Dobur, D. Knolle, J. Lambrecht, L. Mestdach, G. Rendón, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bruno, G. Bury, F. Caputo, C. David, P. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Mondal, K. Taliercio, A. Tran, T.T. Vischia, P. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. Aldá Júnior, W.L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. Dos Santos Sousa, V. Fonseca De Souza, S. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Vilela Pereira, A. Bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. Mercadante, P.G. Novaes, S.F. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Thakur, S. Cheng, T. Javaid, T. Mittal, M. Yuan, L. Ahmad, M. Bauer, G. Hu, Z. Lezki, S. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Milosevic, V. Monti, F. Sharma, R. Tao, J. Thomas-Wilsker Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics

The hydrodynamic flow-like behavior of charged hadrons in high-energy lead-lead collisions is studied through multiparticle correlations. The elliptic anisotropy values based on different orders of multiparticle cumulants, v₂{2k}, are measured up to the tenth order (k = 5) as functions of the collision centrality at a nucleon-nucleon center-of-mass energy of s_NN = 5.02 TeV. The data were recorded by the CMS experiment at the LHC and correspond to an integrated luminosity of 0.607 nb⁻¹. A hierarchy is observed between the coefficients, with v₂{2} > v₂{4} ≳ v₂{6} ≳ v₂{8} ≳ v₂{10}. Based on these results, centrality-dependent moments for the fluctuation-driven event-by-event v₂ distribution are determined, including the skewness, kurtosis and, for the first time, superskewness. Assuming a hydrodynamic expansion of the produced medium, these moments directly probe the initial-state geometry in high-energy nucleus-nucleus collisions. © The Author(s) 2024.

关键词： Event-by-Event fluctuation Harmonic Flow Heavy Ion Experiments Relativistic Heavy Ion Physics

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Study of the solar modulation for the cosmic ray isotopes with the PAMELA experiment 37

Study of the solar modulation for the cosmic ray isotopes wi...

引用

37th International Cosmic Ray Conference, ICRC 2021

作者： Lenni, Alex Boezio, M. Munini, R. Menn, W. Marcelli, N. Potgieter, M.S. Bisschoff, D. Ngobeni, M.D. Aslam, O.P.M. Adriani, O. Barbarino, G.C. Bazilevskaya, G.A. Bellotti, R. Bogomolov, E.A. Bongi, M. Bonvicini, V. Bruno, A. Cafagna, F. Campana, D. Carlson, P. Casolino, M. Castellini, G. De Santis, C. Galper, A.M. Koldashov, S.V. Koldobskiy, S. Kvashnin, A.N. Leonov, A.A. Malakhov, V.V. Marcelli, L. Martucci, M. Mayorov, A.G. Merge, M. Mikhailov, V.V. Mocchiutti, E. Monaco, A. Mori, N. Osteria, G. Panico, B. Papini, P. Pearce, M. Picozza, P. Ricci, M. Ricciarini, S.B. Simon, M. Sotgiu, A. Sparvoli, R. Spillantini, P. Stozhkov, Y.I. Vacchi, A. Vannuccini, E. Vasilyev, G.I. Voronov, S.A. Yurkin, Y.T. Zampa, G. Zampa, N. Institute for Experimental and Applied Physics University of Kiel KielD-24118 Germany Centre for Space Research North-West University Potchefstroom2520 South Africa University of Florence Department of Physics Florence Sesto FiorentinoI-50019 Italy INFN Sezione di Florence Florence Sesto FiorentinoI-50019 Italy University of Naples "Federico II" Department of Physics NaplesI-80126 Italy INFN Sezione di Naples NaplesI-80126 Italy Lebedev Physical Institute MoscowRU-119991 Russia University of Bari Department of Physics BariI-70126 Italy INFN Sezione di Bari BariI-70126 Italy INFN Sezione di Trieste TriesteI-34149 Italy IFPU - Institute of Fundamental Physics of the Universe TriesteI-34151 Italy Ioffe Physical Technical Institute St. PetersburgRU-194021 Russia KTH Department of Physics The Oskar Klein Centre for Cosmoparticle Physics AlbaNova University Centre StockholmSE-10691 Sweden INFN Sezione di Rome "Tor Vergata" RomeI-00133 Italy RIKEN EUSO team Global Research Cluster Saitama Wako-shi Japan IFAC Florence Sesto FiorentinoI-50019 Italy MEPhI: National Research Nuclear University MEPhI MoscowRU-115409 Russia University of Trieste Department of Physics TriesteI-34127 Italy University of Rome "Tor Vergata" Department of Physics RomeI-00133 Italy INFN Laboratori Nazionali di Frascati Via Enrico Fermi 40 FrascatiI-00044 Italy University of Siegen Department of Physics SiegenD-57068 Germany Istituto Nazionale di Astrofisica Fosso del cavaliere 100 RomaI-00133 Italy University of Udine Department of Mathematics Computer Science and Physics Via delle Scienze Udine206 Italy

The space-borne PAMELA experiment was launched on the 15th June 2006 on board the Russian satellite Resurs-DK1 from the Baikonur cosmodrome. PAMELA performed high-precision measurements of cosmic rays over a wide energy range until January 2016. Owing to its long-duration operation, PAMELA had turned out to be an optimal detecting apparatus for studies of the solar modulation of cosmic rays over time. The PAMELA collaboration has already published time-dependent proton, helium and electron spectra as well as the positron to electron ratio spanning almost an entire solar cycle. These results are fundamentally important in the fine-tuning of propagation and modulation models of cosmic rays through the Heliosphere. In this talk, the yearly average spectra for protons, deuterons, Helium-3 and Helium-4 nuclei are presented for the 23rd solar minimum (July 2006 - January 2009) and the first part of the 24th solar maximum (until September 2014). The isotopic composition was measured between 0.1 and 1.1 GeV/n using two different detector systems. As expected, the measured spectra display a rising trend towards the solar minimum followed by a decreasing trend as the solar maximum approaches. The time-dependent ratio of these isotopes is also presented. According to solar modulation studies, a non-constant ratio is expected due to the different charge-to-mass ratios and the different shapes of the respective local interstellar spectra. Additionally, it is of interest to analyze the observed spectra and ratios with state-of-the-art solar modulation models to obtain a deeper understanding of the relative importance of the mechanisms responsible for the propagation of cosmic rays in the Heliosphere over time. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmic rays

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Inferring, predicting, and denoising causal wave dynamics

arXiv

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arXiv 2020年

作者： Karlbauer, Matthias Otte, Sebastian Lensch, Hendrik P.A. Scholten, Thomas Wulfmeyer, Volker Butz, Martin V. University of Tübingen – Neuro-Cognitive Modeling Group Sand 14 Tübingen72076 Germany University of Tübingen – Computer Graphics Maria-von-Linden-Straße 6 Tübingen72076 Germany University of Tübingen – Soil Science and Geomorphology Rümelinstraße 19-23 Tübingen72070 Germany University of Hohenheim Institute for Physics and Meteorology Garbenstraße 30 Stuttgart70599 Germany

The novel DISTributed Artificial neural Network Architecture (DISTANA) is a generative, recurrent graph convolution neural network. It implements a grid or mesh of locally parameterizable laterally connected network modules. DISTANA is specifically designed to identify the causality behind spatially distributed, non-linear dynamical processes. We show that DISTANA is very well-suited to denoise data streams, given that re-occurring patterns are observed, significantly outperforming alternative approaches, such as temporal convolution networks and ConvLSTMs, on a complex spatial wave propagation benchmark. It produces stable and accurate closed-loop predictions even over hundreds of time steps. Moreover, it is able to effectively filter noise—an ability that can be improved further by applying denoising autoencoder principles or by actively tuning latent neural state activities retrospectively. Results confirm that DISTANA is ready to model real-world spatio-temporal dynamics such as brain imaging, supply networks, water flow, or soil and weather data patterns. Copyright © 2020, The Authors. All rights reserved.

关键词： Mesh generation

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Theoretical Framework of Smart Intellectual Property Office in Developing Countries

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Procedia computer science 2019年 161卷 994-1001页

作者： Yoga Prihastomo Raymond Kosala Suhono Harso Supangkat Benny Ranti Agung Trisetyarso Doctor of Computer Science - Bina Nusantara University Jl. Kebon Jeruk Raya No. 27 Jakarta 11480 Indonesia School of Electrical Engineering and Informatics - Bandung Institute of Technology Jl. II Lebak Siliwangi Bandung 40132 Indonesia

Rapid ICT development, globalization challenges, intellectual property (IP) as indicators of economic development, and the challenge are the patentability of computer-implemented inventions and artificial intelligence implications for the IP Office (IPO) to transform from the digital paradigm to the smart paradigm. Nevertheless, because of the lack of literature on the smart IPO framework, we refer to smart government and smart city framework. The aim of this paper is to propose a framework for smart IPO in developing countries in the context of smart city framework. The study found that smart IPO composed of several components such as 1) Smart IPO Model; 2) Smart IPO Enterprise Architecture; 3) Smart IPO Collaboration Model; 4) Smart IPO Development Model; 5) Smart IPO Measurement Model; 6) Smart IPO Standard; and 7) Smart IPO Services. It also found that there are four models of IP office as follows: Model 1 (basic web-based, public services); Model 2 (advanced internal administration); Model 3 (full process automation); and Model 4 (knowledge-based IP services). Moreover, we found also three stages of IP development model: Stage 1 (automation of internal processes); Stage 2 (web-based e-services); Stage 3 (e-dossier, e-filing, e-payment).

关键词： Smart IP Office Framework IP Office IT Governance

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Toward a resolution of the NN controversy 38

Toward a resolution of the NN controversy

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38th International Symposium on Lattice Field Theory, LATTICE 2021

作者： Nicholson, Amy Berkowitz, Evan Bulava, John Chang, Chia Cheng Clark, M.A. Hanlon, Andrew D. Hörz, Ben Howarth, Dean Körber, Christopher Lee, Wayne Tai Meyer, Aaron S. Monge-Camacho, Henry Morningstar, Colin Rinaldi, Enrico Vranas, Pavlos Walker-Loud, André Department of Physics and Astronomy University of North Carolina Chapel Hill NC27516-3255 United States Intel Corporation Santa ClaraCA95054 United States Physics Division Lawrence Livermore National Laboratory LivermoreCA94550 United States Physics Department University of Michigan Ann ArborMI48109 United States Theoretical Quantum Physics Laboratory RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Physics Department Brookhaven National Laboratory UptonNY11973 United States Institut für Theoretische Physik II Ruhr-Universität Bochum BochumD-44780 Germany Department of Physics University of California BerkeleyCA94720 United States Nuclear Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States CP3-Origins Dept. of Mathematics and Computer Science University of Southern Denmark Campusvej 55 Odense M5230 Denmark NVIDIA Corporation Santa ClaraCA95050 United States Department of Statistics Columbia University New YorkNY10027 United States Department of Physics Carnegie Mellon University PittsburghPA15213 United States Institut für Kernphysik Institute for Advanced Simulation Forschungszentrum Jülich Jülich54245 Germany Escuela de Física Universidad de Costa Rica San Pedro San José11501 Costa Rica iTHEMS RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Center for Quantum Computing RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan

Lattice QCD calculations of two-nucleon interactions have been underway for about a decade, but still haven't reached the pion mass regime necessary for matching onto effective field theories and extrapolating to the physical point. Furthermore, results from different methods, including the use of the Lüscher formalism with different types of operators, as well as the HALQCD potential method, do not agree even qualitatively at very heavy pion mass. We investigate the role that different operators employed in the literature may play on the extraction of spectra for use within the Lüscher method. We first explore expectations from Effective Field Theory solved within a finite volume, for which the exact spectrum may be computed given different physical scenarios. We then present preliminary lattice QCD results for two-nucleon spectra calculated using different operators on a common lattice ensemble. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Quantum theory

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Latent state inference in a spatiotemporal generative model

arXiv

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arXiv 2020年

作者： Karlbauer, Matthias Menge, Tobias Otte, Sebastian Lensch, Hendrik P.A. Scholten, Thomas Wulfmeyer, Volker Butz, Martin V. University of Tübingen – Neuro-Cognitive Modeling Group Sand 14 Tübingen72076 Germany University of Tübingen – Computer Graphics Maria-von-Linden-Straße 6 Tübingen72076 Germany University of Tübingen – Soil Science and Geomorphology Rümelinstraße 19-23 Tübingen72070 Germany University of Hohenheim Institute for Physics and Meteorology Garbenstraße 30 Stuttgart70599 Germany

Knowledge about the hidden factors that determine particular system dynamics is crucial for both explaining them and pursuing goal-directed interventions. Inferring these factors from time series data without supervision remains an open challenge. Here, we focus on spatiotemporal processes, including wave propagation and weather dynamics, for which we assume that universal causes (e.g. physics) apply throughout space and time. A recently introduced DIstributed SpatioTemporal graph Artificial Neural network Architecture (DISTANA) is used and enhanced to learn such processes, requiring fewer parameters and achieving significantly more accurate predictions compared to temporal convolutional neural networks and other related approaches. We show that DISTANA, when combined with a retrospective latent state inference principle called active tuning, can reliably derive location-respective hidden causal factors. In a current weather prediction benchmark, DISTANA infers our planet’s land-sea mask solely by observing temperature dynamics and, meanwhile, uses the self inferred information to improve its own future temperature predictions. Copyright © 2020, The Authors. All rights reserved.

关键词： Recurrent neural networks

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