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arXiv 2018年

作者： Watts, Anna L. Yu, Wenfei Poutanen, Juri Zhang, Shu Bhattacharyya, Sudip Bogdanov, Slavko Ji, Long Patruno, Alessandro Riley, Thomas E. Bakala, Pavel Baykal, Altan Bernardini, Federico Bombaci, Ignazio Brown, Edward Cavecchi, Yuri Chakrabarty, Deepto Chenevez, Jérôme Degenaar, Nathalie Santo, Melania Del Salvo, Tiziana Di Doroshenko, Victor Falanga, Maurizio Ferdman, Robert D. Feroci, Marco Gambino, Angelo F. Ge, MingYu Greif, Svenja K. Guillot, Sebastien Gungor, Can Hartmann, Dieter H. Hebeler, Kai Heger, Alexander Homan, Jeroen Iaria, Rosario in’t Zand, Jean Kargaltsev, Oleg Kurkela, Aleksi Lai, Xiaoyu Li, Ang Li, XiangDong Li, Zhaosheng Linares, Manuel Lu, FangJun Mahmoodifar, Simin Méndez, Mariano Miller, M. Coleman Morsink, Sharon Nättilä, Joonas Possenti, Andrea Prescod-Weinstein, Chanda Qu, JinLu Riggio, Alessandro Salmi, Tuomo Sanna, Andrea Santangelo, Andrea Schatz, Hendrik Schwenk, Achim Song, LiMing Šrámková, Eva Stappers, Benjamin Stiele, Holger Strohmayer, Tod Tews, Ingo Tolos, Laura Török, Gabriel Tsang, David Urbanec, Martin Vacchi, Andrea Xu, RenXin Xu, Ypeng Zane, Silvia Zhang, Guobao Zhang, ShuangNan Zhang, Wenda Zheng, ShiJie Zhou, Xia Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Shanghai Astronomical Observatory Shanghai200030 China Tuorla Observatory Department of Physics and Astronomy University of Turku Väisäläntie 20 PiikkiöFIN-21500 Finland Nordita KTH Royal Institute of Technology Stockholm University Roslagstullsbacken 23 StockholmSE-10691 Sweden Institute of High Energy Physics CAS Beijing100049 China Tata Institute of Fundamental Research Mumbai400005 India Columbia Astrophysics Laboratory Columbia University 550 West 120th Street New YorkNY10027 United States Institut für Astronomie und Astrophysik Tübingen Universität Tübingen Sand 1 TübingenD-72076 Germany Leiden Observatory Leiden University PO Box 9513 Leiden2300 RA Netherlands Research Center for Computational Physics and Data Processing Silesian University in Opava Bezrucovo nam. 13 OpavaCZ-74601 Czech Republic Physics Department Middle East Technical University Ankara06531 Turkey INAF Osservatorio Astronomico di Roma Via Frascati 33 Monteporzio CatoneI-00078 Italy New York University Abu Dhabi PO Box 129188 Abu Dhabi United Arab Emirates Dipartimento di Fisica Enrico Fermi University of Pisa PisaI-56127 Italy INFN Italian National Institute for Nuclear Physics Pisa Section Pisa56127 Italy Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Department of Astrophysical Sciences Princeton University Peyton Hall PrincetonNJ08544 United States Mathematical Sciences and STAG Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom MIT Kavli Institute for Astrophysics and Space Research CambridgeMA02139 United States DTU Space Technical University of Denmark Elektrovej 327-328 Kgs Lyngby2800 Denmark INAF/IASF Palermo via Ugo La Malfa 153 PalermoI-90146 Italy Universita degli Studi di Palermo Dipartimento di Fisica e Chimica via Archira 36 Palermo90123 Italy

In this White Paper we present the potential of the Enhanced X-ray Timing and Polarimetry (eXTP) mission for determining the nature of dense matter;neutron star cores host an extreme density regime which cannot be replicated in a terrestrial laboratory. The tightest statistical constraints on the dense matter equation of state will come from pulse profile modelling of accretion-powered pulsars, burst oscillation sources, and rotation-powered pulsars. Additional constraints will derive from spin measurements, burst spectra, and properties of the accretion flows in the vicinity of the neutron star. Under development by an international Consortium led by the Institute of High Energy Physics of the Chinese Academy of Science, the eXTP mission is expected to be launched in the mid 2020s. Copyright © 2018, The Authors. All rights reserved.

关键词： Pulsars

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Experimental Verification of a Multi-robot Distributed Control Algorithm with Containment and Group Dispersion Behaviors: the Case of Dynamic Leaders

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IEEE/CAA Journal of Automatica Sinica 2014年第1期1卷 54-60页

作者： Hejin Zhang Zhiyun Zhao Ziyang Meng Zongli Lin Department of Automation and Key Laboratory for System Control and Information Processing of Ministry of Education Shanghai Jiao Tong University the Access Linnaeus Centre School of Electrical Engineering Royal Institute of Technology Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

This paper studies the containment and group dispersion control for a multi-robot system in the presence of dynamic leaders. Each robot is represented by a doubleintegrator dynamic model and a distributed control algorithm is developed to drive the multi-robot system to follow a group of dynamic leaders with containment and group dispersion behaviors. The effectiveness of the algorithm is then verified on a multi-robot control platform.

关键词： Heuristic algorithms Mobile robots Robot kinematics Trajectory Dispersion Decentralized control

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Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition

Shape driven kernel adaptation in Convolutional Neural Netwo...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Shaoxin Li Junliang Xing Zhiheng Niu Shiguang Shan Shuicheng Yan Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China

ISBN: (纸本)9781467369657

One key challenge of facial trait recognition is the large non-rigid appearance variations due to some irrelevant real world factors, such as viewpoint and expression changes. In this paper, we explore how the shape information, i.e. facial landmark positions, can be explicitly deployed into the popular Convolutional Neural Network (CNN) architecture to disentangle such irrelevant non-rigid appearance variations. First, instead of using fixed kernels, we propose a kernel adaptation method to dynamically determine the convolutional kernels according to the spatial distribution of facial landmarks, which helps learning more robust features. Second, motivated by the intuition that different local facial regions may demand different adaptation functions, we further propose a tree-structured convolutional architecture to hierarchically fuse multiple local adaptive CNN subnetworks. Comprehensive experiments on WebFace, Morph II and MultiPIE databases well validate the effectiveness of the proposed kernel adaptation method and tree-structured convolutional architecture for facial trait recognition tasks, including identity, age and gender recognition. For all the tasks, the proposed architecture consistently achieves the state-of-the-art performances.

关键词： Kernel Shape Face Face recognition Robustness Neural networks computer architecture

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Author Correction: The challenge of mapping the human connectome based on diffusion tractography

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Nature communications 2019年第1期10卷 5059页

作者： Klaus H Maier-Hein Peter F Neher Jean-Christophe Houde Marc-Alexandre Côté Eleftherios Garyfallidis Jidan Zhong Maxime Chamberland Fang-Cheng Yeh Ying-Chia Lin Qing Ji Wilburn E Reddick John O Glass David Qixiang Chen Yuanjing Feng Chengfeng Gao Ye Wu Jieyan Ma Renjie He Qiang Li Carl-Fredrik Westin Samuel Deslauriers-Gauthier J Omar Ocegueda González Michael Paquette Samuel St-Jean Gabriel Girard François Rheault Jasmeen Sidhu Chantal M W Tax Fenghua Guo Hamed Y Mesri Szabolcs Dávid Martijn Froeling Anneriet M Heemskerk Alexander Leemans Arnaud Boré Basile Pinsard Christophe Bedetti Matthieu Desrosiers Simona Brambati Julien Doyon Alessia Sarica Roberta Vasta Antonio Cerasa Aldo Quattrone Jason Yeatman Ali R Khan Wes Hodges Simon Alexander David Romascano Muhamed Barakovic Anna Auría Oscar Esteban Alia Lemkaddem Jean-Philippe Thiran H Ertan Cetingul Benjamin L Odry Boris Mailhe Mariappan S Nadar Fabrizio Pizzagalli Gautam Prasad Julio E Villalon-Reina Justin Galvis Paul M Thompson Francisco De Santiago Requejo Pedro Luque Laguna Luis Miguel Lacerda Rachel Barrett Flavio Dell'Acqua Marco Catani Laurent Petit Emmanuel Caruyer Alessandro Daducci Tim B Dyrby Tim Holland-Letz Claus C Hilgetag Bram Stieltjes Maxime Descoteaux Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. k.maier-hein@dkfz.de. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC J1K 0A5 QC Canada. Department of Intelligent Systems Engineering School of Informatics and Computing Indiana University Bloomington IN 47408 USA. Krembil Research Institute University Health Network Toronto Canada M5G 2C4. Department of Neurological Surgery University of Pittsburgh School of Medicine Pittsburgh PA 15213 USA. IMT-Institute for Advanced Studies Lucca 55100 Italy. Department of Diagnostic Imaging St. Jude Children's Research Hospital Memphis TN 38105 USA. University of Toronto Institute of Medical Science Toronto Canada M5S 1A8. Institute of Information Processing and Automation Zhejiang University of Technology Hangzhou 310023 Zhejiang China. United Imaging Healthcare Co Shanghai 201807 China. Shanghai Advanced Research Institute Shanghai 201210 China. Laboratory of Mathematics in Imaging Harvard Medical School Boston MA 02215 USA. Center for Research in Mathematics Guanajuato 36023 Mexico. PROVIDI Lab Image Sciences Institute University Medical Center Utrecht Utrecht 3508 The Netherlands. Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Maindy Road Cardiff CF24 4HQ UK. Department of Radiology University Medical Center Utrecht Utrecht 3508 The Netherlands. Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM) Université de Montréal Montreal QC Canada H3W 1W5. Sorbonne Universités UPMC Univ Paris 06 CNRS INSERM Laboratoire d'Imagerie Biomédicale (LIB) 75013 Paris France. Center for Advanced Research in Sleep Medicine Hôpital du Sacré-Coeur de Montréal Montreal Canada H4J 1C5. Neuroimaging Unit Institute of Bioimaging and Molecular Physiology (IBFM) Nat

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Observations of solar system objects

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Astronomy and Astrophysics 2018年 616卷

作者： Spoto, F. Tanga, P. Mignard, F. Berthier, J. Carry, B. Cellino, A. Dell'Oro, A. Hestroffer, D. Muinonen, K. Pauwels, T. Petit, J.-M. David, P. De Angeli, F. Delbo, M. Frézouls, B. Galluccio, L. Granvik, M. Guiraud, J. Hernández, J. Ordénovic, C. Portell, J. Poujoulet, E. Thuillot, W. Walmsley, G. Brown, A.G.A. Vallenari, A. Prusti, T. De Bruijne, J.H.J. Babusiaux, C. Bailer-Jones, C.A.L. Biermann, M. Evans, D.W. Eyer, L. Jansen, F. Jordi, C. Klioner, S.A. Lammers, U. Lindegren, L. Luri, X. Panem, C. Pourbaix, D. Randich, S. Sartoretti, P. Siddiqui, H.I. Soubiran, C. Van Leeuwen, F. Walton, N.A. Arenou, F. Bastian, U. Cropper, M. Drimmel, R. Katz, D. Lattanzi, M.G. Bakker, J. Cacciari, C. Castañeda, J. Chaoul, L. Cheek, N. Fabricius, C. Guerra, R. Holl, B. Masana, E. Messineo, R. Mowlavi, N. Nienartowicz, K. Panuzzo, P. Riello, M. Seabroke, G.M. Thévenin, F. Gracia-Abril, G. Comoretto, G. Garcia-Reinaldos, M. Teyssier, D. Altmann, M. Andrae, R. Audard, M. Bellas-Velidis, I. Benson, K. Blomme, R. Burgess, P. Busso, G. Clementini, G. Clotet, M. Creevey, O. Davidson, M. De Ridder, J. Delchambre, L. Ducourant, C. Fernández-Hernández, J. Fouesneau, M. Frémat, Y. García-Torres, M. González-Núñez, J. González-Vidal, J.J. Gosset, E. Guy, L.P. Halbwachs, J.-L. Hambly, N.C. Harrison, D.L. Hodgkin, S.T. Hutton, A. Jasniewicz, G. Jean-Antoine-Piccolo, A. Jordan, S. Korn, A.J. Krone-Martins, A. Lanzafame, A.C. Lebzelter, T. Löffler, W. Manteiga, M. Marrese, P.M. Martín-Fleitas, J.M. Moitinho, A. Mora, A. Osinde, J. Pancino, E. Recio-Blanco, A. Richards, P.J. Rimoldini, L. Robin, A.C. Sarro, L.M. Siopis, C. Smith, M. Sozzetti, A. Süveges, M. Torra, J. Van Reeven, W. Abbas, U. Abreu Aramburu, A. Accart, S. Aerts, C. Altavilla, G. Álvarez, M.A. Alvarez, R. Alves, J. Anderson, R.I. Andrei, A.H. Anglada Varela, E. Antiche, E. Antoja, T. Arcay, B. Astraatmadja, T.L. Bach, N. Baker, S.G. Balaguer-Núñez, L. Balm, P. Barache, C. Barata, C. Barbato, D. Université Côte d'Azur Observatoire de la Côte d'Azur CNRS Laboratoire Lagrange Bd de l'Observatoire CS 34229 Nice Cedex 406304 France IMCCE Observatoire de Paris Université PSL CNRS Sorbonne Universités Univ. Lille 77 Av. Denfert-Rochereau Paris75014 France 10025 Italy INAF - Osservatorio Astrofisico di Arcetri Largo Enrico Fermi 5 Firenze50125 Italy University of Helsinki Department of Physics P.O. Box 64 Helsinki00014 Finland Finnish Geospatial Research Institute FGI Geodeetinrinne 2 Masala02430 Finland Royal Observatory of Belgium Ringlaan 3 Brussels1180 Belgium Institut UTINAM UMR6213 CNRS OSU THETA Franche-Comté Bourgogne Université Bourgogne Franche-Comté Besançon25000 France Institute of Astronomy University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom CNES Centre Spatial de Toulouse 18 avenue Edouard Belin Toulouse Cedex 931401 France Department of Computer Science Electrical and Space Engineering Luleå University of Technology Box 848 KirunaS-981 28 Sweden Camino bajo del Castillo s/n Madrid28692 Spain Martí i Franquès 1 Barcelona08028 Spain AKKA for CNES Centre Spatial de Toulouse 18 avenue Edouard Belin Toulouse Cedex 931401 France Leiden Observatory Leiden University Niels Bohrweg 2 Leiden2333 CA Netherlands INAF - Osservatorio Astronomico di Padova Vicolo Osservatorio 5 Padova35122 Italy Keplerlaan 1 Noordwijk2201AZ Netherlands GEPI Observatoire de Paris Université PSL CNRS 5 Place Jules Janssen Meudon92190 France Univ. Grenoble Alpes CNRS IPAG Grenoble38000 France Max Planck Institute for Astronomy Königstuhl 17 Heidelberg69117 Germany Astronomisches Rechen-Institut Zentrum für Astronomie Universität Heidelberg Mönchhofstr. 12-14 Heidelberg69120 Germany Department of Astronomy University of Geneva Chemin des Maillettes 51 Versoix1290 Switzerland Keplerlaan 1 Noordwijk2201 AZ Netherlands Lohrmann Observatory Technische Universität Dresden Mommsenstraße 13 Dresden010

Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release 2 (DR2) contains the observations of a selected sample of 14,099 SSOs. These asteroids have been already identified and have been numbered by the Minor Planet Center repository. Positions are provided for each Gaia observation at CCD level. As additional information, complementary to astrometry, the apparent brightness of SSOs in the unfiltered G band is also provided for selected observations. Aims. We explain the processing of SSO data, and describe the criteria we used to select the sample published in Gaia DR2. We then explore the data set to assess its quality. Methods. To exploit the main data product for the solar system in Gaia DR2, which is the epoch astrometry of asteroids, it is necessary to take into account the unusual properties of the uncertainty, as the position information is nearly one-dimensional. When this aspect is handled appropriately, an orbit fit can be obtained with post-fit residuals that are overall consistent with the a-priori error model that was used to define individual values of the astrometric uncertainty. The role of both random and systematic errors is described. The distribution of residuals allowed us to identify possible contaminants in the data set (such as stars). Photometry in the G band was compared to computed values from reference asteroid shapes and to the flux registered at the corresponding epochs by the red and blue photometers (RP and BP). Results. The overall astrometric performance is close to the expectations, with an optimal range of brightness G ∼ 12 - 17. In this range, the typical transit-level accuracy is well below 1 mas. For fainter asteroids, the growing photon noise deteriorates the performance. Asteroids brighter than G ∼ 12 are affected by a lower performance of the processing of their signals. The dramatic improvement brought b

关键词： Orbits

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Circuit design and exponential stabilization of memristive neural networks

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Neural networks : the official journal of the International Neural Network Society 2015年 63卷 48-56页

作者： Shiping Wen Tingwen Huang Zhigang Zeng Yiran Chen Peng Li Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China. Electronic address: wenshiping226@***. Texas A & M University at Qatar Doha 5825 Qatar. Electronic address: tingwen.huang@qatar.tamu.edu. Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China. Electronic address: zgzeng527@***. Electrical and Computer Engineering Department University of Pittsburgh Pittsburgh PA 15261 USA. Electronic address: yic52@pitt.edu. Department of Electrical and Computer Engineering Texas A & M University College Station TX 77843 USA. Electronic address: pli@tamu.edu.

This paper addresses the problem of circuit design and global exponential stabilization of memristive neural networks with time-varying delays and general activation functions. Based on the Lyapunov-Krasovskii functional method and free weighting matrix technique, a delay-dependent criteria for the global exponential stability and stabilization of memristive neural networks are derived in form of linear matrix inequalities (LMIs). Two numerical examples are elaborated to illustrate the characteristics of the results. It is noteworthy that the traditional assumptions on the boundness of the derivative of the time-varying delays are removed.

关键词： Memristor Neural networks Stabilization

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Dynamic anti-windup design for anticipatory activation:enlargement of the domain of attraction

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Science China(Information Sciences) 2014年第1期57卷 164-177页

作者： WU XiongJun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain level or in anticipation of its *** the case of static anti-windup compensators,it has been shown that an anti-windup compensator designed for activation in anticipation of actuator saturation would lead to better performance than those designed for immediate or delayed activation could,both in terms of transient performance and the size of the domain of *** recently,it has been shown that a dynamic anti-windup compensator designed for anticipatory activation would also result in better transient performance than those designed for immediate or delayed activation *** this paper,we design dynamic anti-windup compensators for the enlargement of the domain of *** compensators are designed respectively for immediate,delayed and anticipatory *** will show by simulation that a dynamic anti-windup compensator designed for anticipatory activation would result in a larger domain of attraction than a dynamic anti-windup compensator designed for immediate or delayed activation could.

关键词： actuator saturation anti-windup anticipatory activation domain of attraction dynamic com-pensator

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Gaia Data Release 2.: Observations of solar system objects

arXiv

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arXiv 2018年

作者： Spoto, F. Tanga, P. Mignard, F. Berthier, J. Carry, B. Cellino, A. Dell'Oro, A. Hestroer, D. Muinonen, K. Pauwels, T. Petit, J.-M. David, P. Angeli, F.De. Delbo, M. Frézouls, B. Galluccio, L. Granvik, M. Guiraud, J. Hernández, J. Ordénovic, C. Portell, J. Poujoulet, E. Thuillot, W. Walmsley, G. Brown, A.G.A. Vallenari, A. Prusti, T. Bruijne, J.H.J.D. Babusiaux, C. Bailer-Jones, C.A.L. Biermann, M. Evans, D.W. Eyer, L. Jansen, F. Jordi, C. Klioner, S.A. Lammers, U. Lindegren, L. Luri, X. Panem, C. Pourbaix, D. Randich, S. Sartoretti, P. Siddiqui, H.I. Soubiran, C. Van Leeuwen, F. Walton, N.A. Arenou, F. Bastian, U. Cropper, M. Drimmel, R. Katz, D. Lattanzi, M.G. Bakker, J. Cacciari, C. Castañeda, J. Chaoul, L. Cheek, N. Fabricius, C. Guerra, R. Holl, B. Masana, E. Messineo, R. Mowlavi, N. Nienartowicz, K. Panuzzo, P. Riello, M. Seabroke, G.M. Thévenin, F. Gracia-Abril, G. Comoretto, G. Garcia-Reinaldos, M. Teyssier, D. Altmann, M. Andrae, R. Audard, M. Velidis, I.Bellas. Benson, K. Blomme, R. Burgess, P. Busso, G. Clementini, G. Clotet, M. Creevey, O. Davidson, M. Ridder, J.De. Delchambre, L. Ducourant, C. Fernández-Hernández, J. Fouesneau, M. Frémat, Y. García-Torres, M. González-Núñez, J. González-Vidal, J.J. Gosset, E. Guy, L.P. Halbwachs, J.-L. Hambly, N.C. Harrison, D.L. Hodgkin, S.T. Hutton, A. Jasniewicz, G. Jean-Antoine-Piccolo, A. Jordan, S. Korn, A.J. Krone-Martins, A. Lanzafame, A.C. Lebzelter, T. Löer, W. Manteiga, M. Marrese, P.M. Martín-Fleitas, J.M. Moitinho, A. Mora, A. Osinde, J. Pancino, E. Recio-Blanco, A. Richards, P.J. Rimoldini, L. Robin, A.C. Sarro, L.M. Siopis, C. Smith, M. Sozzetti, A. Söveges, M. Torra, J. Reeven, W.Van. Abbas, U. Aramburu, A.Abreu. Accart, S. Aerts, C. Altavilla, G. Álvarez, M.A. Alvarez, R. Alves, J. Anderson, R.I. Andrei, A.H. Varela, E.Anglada. Antiche, E. Antoja, T. Arcay, B. Astraatmadja, T.L. Bach, N. Baker, S.G. Balaguer-Núñez, L. Balm, P. Barache, C. Barata, C. Barbato, D. Barblan, F. Université Côte D'Azur Observatoire de la Côte D'Azur Laboratoire Lagrange Bd de l'Observatoire CS 34229 Nice Cedex 406304 France Imcce Observatoire de Paris Université PSL Cnrs 77 av. Denfert-Rochereau Paris75014 10025 Italy INAF-Osservatorio Astrofisico di Arcetri Largo Enrico Fermi 5 Firenze50125 Italy University of Helsinki Department of Physics P.O. Box 64 Helsinki00014 Finland Finnish Geospatial Research Institute Fgi Geodeetinrinne 2 Masala02430 Finland Royal Observatory of Belgium Ringlaan 3 Brussels1180 Belgium Institut Utinam UMR6213 Osu Theta Franche-Comté Bourgogne Université Bourgogne Franche-Comté Besançon25000 France Institute of Astronomy University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Cnes Centre Spatial de Toulouse 18 avenue Edouard Belin Toulouse Cedex 931401 France Department of Computer Science Electrical and Space Engineering Lulea University of Technology Box 848 KirunaS-981 28 Camino Bajo Del Castillo Urbanizacion Villafranca Del Castillo Villanueva de la Cañada Madrid28692 Spain Martí i Franquès 1 Barcelona08028 Spain Akka for Cnes Centre Spatial de Toulouse 18 avenue Edouard Belin Toulouse Cedex 931401 France Leiden Observatory Leiden University Niels Bohrweg 2 Leiden2333 CA Netherlands INAF-Osservatorio Astronomico di Padova Vicolo Osservatorio 5 Padova35122 Italy Keplerlaan 1 Noordwijk2201AZ Netherlands Gepi Observatoire de Paris Université Psl 5 Place Jules Janssen Meudon92190 Univ. Grenoble Alpes Cnrs Ipag Grenoble38000 France Max Planck Institute for Astronomy Königstuhl 17 Heidelberg69117 Germany Astronomisches Rechen-Institut Zentrum för Astronomie der Universität Heidelberg Mönchhofstr. 12-14 Heidelberg69120 Germany Department of Astronomy University of Geneva Chemin des Maillettes 51 Versoix1290 Switzerland Mission Operations Division Operations Department Directorate of Science Keplerlaan 1 Noordwijk2201 AZ Netherlands Lohrmann Observatory Techn

Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release 2 (DR2) contains the observations of a selected sample of 14,099 SSOs. These asteroids have been already identified and have been numbered by the Minor Planet Center repository. Positions are provided for each Gaia observation at CCD level. As additional information, complementary to astrometry, the apparent brightness of SSOs in the unfiltered G band is also provided for selected observations. Aims. We explain the processing of SSO data, and describe the criteria we used to select the sample published in Gaia DR2. We then explore the data set to assess its quality. Methods. To exploit the main data product for the solar system in Gaia DR2, which is the epoch astrometry of asteroids, it is necessary to take into account the unusual properties of the uncertainty, as the position information is nearly one-dimensional. When this aspect is handled appropriately, an orbit fit can be obtained with post-fit residuals that are overall consistent with the a-priori error model that was used to define individual values of the astrometric uncertainty. The role of both random and systematic errors is described. The distribution of residuals allowed us to identify possible contaminants in the data set (such as stars). Photometry in the G band was compared to computed values from reference asteroid shapes and to the flux registered at the corresponding epochs by the red and blue photometers (RP and BP). Results. The overall astrometric performance is close to the expectations, with an optimal range of brightness G12-17. In this range, the typical transit-level accuracy is well below 1 mas. For fainter asteroids, the growing photon noise deteriorates the performance. Asteroids brighter than G12 are affected by a lower performance of the processing of their signals. The dramatic improvement brought by Gaia D

关键词： Asteroids

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Effect of channel aging on the sum rate of uplink massive MIMO systems

Effect of channel aging on the sum rate of uplink massive MI...

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IEEE International Symposium on Information Theory

作者： Chuili Kong Caijun Zhong Anastasios K. Papazafeiropoulos Michail Matthaiou Zhaoyang Zhang Institute of Information and Communication Engineering Zhejiang University Hangzhou China National Mobile Communications Research Laboratory Southeast University Nanjing China Communications and Signal Processing Group Imperial College London London U.K Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Electrical Engineering and Computer Science Queen's University Belfast Belfast U.K

ISBN: (纸本)9781467377058

This paper investigates the achievable sum-rate of uplink massive multiple-input multiple-output (MIMO) systems considering a practical channel impairment, namely, aged channel state information (CSI). Taking into account both maximum ratio combining (MRC) and zero-forcing (ZF) receivers at the base station, we present tight closed-form lower bounds on the sum-rate for both receivers, which provide efficient means to evaluate the sum-rate of the system. More importantly, we characterize the impact of channel aging on the power scaling law. Specifically, we show that the transmit power of each user can be scaled down by 1/√(M), which indicates that aged CSI does not affect the power scaling law; instead, it causes only a reduction on the sum rate by reducing the effective signal-to-interference-and-noise ratio (SINR).

关键词： Aging MIMO Receivers Uplink Channel estimation Antennas Training

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Exascale Storage Systems the SIRIUS Way

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Journal of Physics: Conference Series 2016年第1期759卷

作者： S A Klasky H Abbasi M Ainsworth J Choi M Curry T Kurc Q Liu J Lofstead C Maltzahn M Parashar N Podhorszki E Suchyta F Wang M Wolf C S Chang M Churchill S Ethier Oak Ridge National Laboratory Oak Ridge TN 37831 USA Department of Electrical Engineering & Computer Science The University of Tennessee Knoxville Knoxville Tennessee 37996 USA School of Computer Science Georgia Institute of Technology Atlanta GA 30332 USA Division of Applied Mathematics Brown University Providence RI 02912 USA Sandia National Laboratories Albuquerque NM 87185 USA Department of Biomedical Informatics Stony Brook University Stony Brook NY 11794 USA Computer Science Department University of California at Santa Cruz Santa Cruz CA 95064 USA Rutgers Discovery Informatics Institute Rutgers University Piscataway NJ 08854 USA Princeton Plasma Physics Laboratory Princeton NJ 08543 USA

As the exascale computing age emerges, data related issues are becoming critical factors that determine how and where we do computing. Popular approaches used by traditional I/O solution and storage libraries become increasingly bottlenecked due to their assumptions about data movement, re-organization, and storage. While, new technologies, such as 'burst buffers', can help address some of the short-term performance issues, it is essential that we reexamine the underlying storage and I/O infrastructure to effectively support requirements and challenges at exascale and beyond. In this paper we present a new approach to the exascale Storage System and I/O (SSIO), which is based on allowing users to inject application knowledge into the system and leverage this knowledge to better manage, store, and access large data volumes so as to minimize the time to scientific insights. Central to our approach is the distinction between the data, metadata, and the knowledge contained therein, transferred from the user to the system by describing 'utility' of data as it ages.

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