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arXiv 2020年

作者： Aprà, E. Bylaska, E.J. de Jong, W.A. Govind, N. Kowalski, K. Straatsma, T.P. Valiev, M. van Dam, H.J.J. Alexeev, Y. Anchell, J. Anisimov, V. Aquino, F.W. Atta-Fynn, R. Autschbach, J. Bauman, N.P. Becca, J.C. Bernholdt, D.E. Bhaskaran-Nair, K. Bogatko, S. Borowski, P. Boschen, J. Brabec, J. Bruner, A. Cauët, E. Chen, Y. Chuev, G.N. Cramer, C.J. Daily, J. Deegan, M.J.O. Dunning, T.H. Dupuis, M. Dyall, K.G. Fann, G.I. Fischer, S.A. Fonari, A. Früchtl, H. Gagliardi, L. Garza, J. Gawande, N. Ghosh, S. Glaesemann, K. Götz, A.W. Hammond, J. Helms, V. Hermes, E.D. Hirao, K. Hirata, S. Jacquelin, M. Jensen, L. Johnson, B.G. Jónsson, H. Kendall, R.A. Klemm, M. Kobayashi, R. Konkov, V. Krishnamoorthy, S. Krishnan, M. Lin, Z. Lins, R.D. Littlefield, R.J. Logsdail, A.J. Lopata, K. Ma, W. Marenich, A.V. Martin del Campo, J. Mejia-Rodriguez, D. Moore, J.E. Mullin, J.M. Nakajima, T. Nascimento, D.R. Nichols, J.A. Nichols, P.J. Nieplocha, J. Otero-de-la-Roza, A. Palmer, B. Panyala, A. Pirojsirikul, T. Peng, B. Peverati, R. Pittner, J. Pollack, L. Richard, R.M. Sadayappan, P. Schatz, G.C. Shelton, W.A. Silverstein, D.W. Smith, D.M.A. Soares, T.A. Song, D. Swart, M. Taylor, H.L. Thomas, G.S. Tipparaju, V. Truhlar, D.G. Tsemekhman, K. van Voorhis, T. Vázquez-Mayagoitia, Á. Verma, P. Villa, O. Vishnu, A. Vogiatzis, K.D. Wang, D. Weare, J.H. Williamson, M.J. Windus, T.L. Woliński, K. Wong, A.T. Wu, Q. Yang, C. Yu, Q. Zacharias, M. Zhang, Z. Zhao, Y. Harrison, R.J. Pacific Northwest National Laboratory RichlandWA99352 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States National Center for Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Brookhaven National Laboratory UptonNY11973 United States Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Intel Corporation Santa ClaraCA95054 United States QSimulate CambridgeMA02139 United States Department of Physics University of Texas at Arlington ArlingtonTX76019 United States Department of Chemistry University at Buffalo State University of New York BuffaloNY14260 United States Department of Chemistry Pennsylvania State University University ParkPA16802 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Washington University St. LouisMO63130 United States 4G Clinical WellesleyMA02481 United States Faculty of Chemistry Maria Curie-Sklodowska University in Lublin Lublin20-031 Poland Department of Chemistry Iowa State University AmesIA50011 United States J. Heyrovský Institute of Physical Chemistry Academy of Sciences of the Czech Republic Prague 818223 Czech Republic Department of Chemistry and Physics University of Tennessee at Martin MartinTN38238 United States Université libre de Bruxelles BrusselsB-1050 Belgium Facebook Menlo ParkCA94025 United States Institute of Theoretical and Experimental Biophysics Russian Academy of Science Pushchino Moscow142290 Russia Department of Chemistry Chemical Theory Center Supercomputing Institute University of Minnesota MinneapolisMN55455 United States SKAO Jodrell Bank Observatory MacclesfieldSK11 9DL United Kingdom Department of Chemistry University of Washington SeattleWA98195 United States Dirac Solutions PortlandOR97229 United States Chemistry Division U. S. Naval Research Laboratory WashingtonDC20375 United States School of Chemistry and Biochemis

Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the last few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach and outlook. Copyright © 2020, The Authors. All rights reserved.

关键词： computational chemistry

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Analysis and Detection of Anomalous Network Traffic

Analysis and Detection of Anomalous Network Traffic

引用

International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Hae-Duck J. Jeong Hyeonggeun Kim WonHwi Ahn Jung-Hee Oh Dawoon Lee Sang-Kug Ye Jongsuk R. Lee Dept. of Computer Software Korean Bible University Seoul South Korea Division of LBS Solution SK MNS Seoul South Korea Dept. of Computational Science & Engineering Korea Institutue of Science and Technology Information Daejeon South Korea

ISBN: (纸本)9781509009855

Rapid development of information and communications networks and the widespread distribution of smartphones have contributed to the steady increase in Internet utilization. This increase in Internet consumption has resulted in the creation of various services including web services, SNS (Social Networking Services), Internet banking, and remote processing systems, enhancing the quality of life globally. However, serious information security problems have surfaced alongside these services, leading to Internet privacy invasions and network attacks. This paper presents a process to detect anomalous traffic using selfsimilarity analysis in the ATMSim environment as a research method to resolve these problems. In order to measure anomalous traffic, normal traffic for each attack including ARP spoofing and DDoS was measured for 48 hours. Hadoop is employed to process the massive traffic data collected and MapReduce was used after storing the data in HDFS. The detection system ATMSim, which is a new platform operating on Hadoop, is used to identify anomalous traffic, and a comparative analysis of the normal and anomalous traffic was performed through a self-similarity analysis. The collected traffic was divided into four categories according to the attack method: normal LAN traffic, DDoS attack, ARP spoofing, and DDoS and ARP spoofing attacks. The anomalous traffic detection system ATMSim was used to simulate for each scenario and distinguish normal and anomalous traffic in order to determine whether real attacks can be effectively identified. Graphic and quantitative analyses based on the self-similarity estimation for the four different traffic types showed that, unlike normal traffic such as the LAN traffic, the graphic analysis revealed a burstiness phenomenon when anomalous traffic occurred and the self-similarity estimation values were also high.

关键词： Computer crime Estimation Local area networks Internet Stochastic processes Real-time systems Analytical models

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Spitzer observations of the predicted Eddington flare from blazar OJ 287

arXiv

引用

arXiv 2020年

作者： Laine, Seppo Dey, Lankeswar Valtonen, Mauri Gopakumar, A. Zola, Stanislaw Komossa, S. Kidger, Mark Pihajoki, Pauli Gómez, José L. Caton, Daniel Ciprini, Stefano Drozdz, Marek Gazeas, Kosmas Godunova, Vira Haque, Shirin Hildebrandt, Felix Hudec, Rene Jermak, Helen Kong, Albert K.H. Lehto, Harry Liakos, Alexios Matsumoto, Katsura Mugrauer, Markus Pursimo, Tapio Reichart, Daniel E. Simon, Andrii Siwak, Michal Sonbas, Eda IPAC Mail Code 314-6 Caltech 1200 E. California Blvd. PasadenaCA91125 United States Department of Astronomy and Astrophysics Tata Institute of Fundamental Research Mumbai400005 India Finnish Centre for Astronomy with ESO University of Turku TurkuFI-20014 Finland Astronomical Observatory Jagiellonian University ul. Orla 171 CracowPL-30-244 Poland Mt. Suhora Astronomical Observatory Pedagogical University ul. Podchorazych 2 CracowPL30-084 Poland Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 Bonn53121 Germany PLATO Science Operations Centre ESAC European Space Agency Villanueva de la Caada MadridE-28691 Spain Department of Physics University of Helsinki Gustaf Hllstrmin katu 2a HelsinkiFI-00560 Finland Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain Dark Sky Observatory Dept. of Physics and Astronomy Appalachian State University BooneNC28608 United States Space Science Data CenterAgenzia Spaziale Italiana via del Politecnico snc RomaI-00133 Italy Instituto Nazionale di Fisica Nucleare Sezione di Perugia PerugiaI-06123 Italy Pedagogical University of Cracow Mt. Suhora Astronomical Observatory ul. Podchorazych 2 CracowPL30-084 Poland Department of Astrophysics Astronomy and Mechanics National and Kapodistrian University of Athens Zografos AthensGR-15784 Greece ICAMER Observatory of NASU 27 Acad. Zabolotnoho Str. Kyiv03143 Ukraine Department of Physics University of the West Indies St. Augustine Spain Astrophysikalisches Institut und Universitäts-Sternwarte Schillergäßchen 2 JenaD-07745 Germany Czech Technical University in Prague Faculty of Electrical Engineering Technicka 2 Prague166 27 Czech Republic 27 Kazan Federal University Kremlyovskaya 18 Kazan420000 Russia Astrophysics Research Institute Liverpool John Moores University IC2 Liverpool Science Park Brownlow HillL3 5RF United Kingdom Institute of Astronomy National Tsing Hua University Hsinchu30013 Taiwan Depa

Binary black hole (BH) central engine description for the unique blazar OJ 287 predicted that the next secondary BH impact-induced bremsstrahlung flare should peak on 2019 July 31. This prediction was based on detailed general relativistic modeling of the secondary BH trajectory around the primary BH and its accretion disk. The expected flare was termed the Eddington flare to commemorate the centennial celebrations of now-famous solar eclipse observations to test general relativity by Sir Arthur Eddington. We analyze the multi-epoch Spitzer observations of the expected flare between 2019 July 31 and 2019 September 6, as well as baseline observations during 2019 February–March. Observed Spitzer flux density variations during the predicted outburst time display a strong similarity with the observed optical pericenter flare from OJ 287 during 2007 September. The predicted flare appears comparable to the 2007 flare after subtracting the expected higher base-level Spitzer flux densities at 3.55 and 4.49 µm compared to the optical R-band. Comparing the 2019 and 2007 outburst lightcurves and the previously calculated predictions, we find that the Eddington flare arrived within 4 hours of the predicted time. Our Spitzer observations are well consistent with the presence of a nano-Hertz gravitational wave emitting spinning massive binary BH that inspirals along a general relativistic eccentric orbit in OJ 287. These multi-epoch Spitzer observations provide a parametric constraint on the celebrated BH no-hair theorem. Copyright © 2020, The Authors. All rights reserved.

关键词： Relativity

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CCAT-prime: science with an Ultra-widefield Submillimeter Observatory at Cerro Chajnantor

arXiv

引用

arXiv 2018年

作者： Stacey, G.J. Basuc, M. Araven K. Battaglia, N. Beringuee, B. Bertoldi, F. Bond, J.R. Breysse, P. Bustos, R. Chapman, S. Chung, D.T. Cothard, N. Erler, J. Fichl, M. Foreman, S. Gallardo, P. Giovanelli, R. Graf, U.U. Haynes, M.P. Herrera-Camus, R. Herter, T.L. Hložek, R. Johnstone, D. Keating, L. Magnelli, B. Meerburg, D. Meyers, J. Murray, N. Niemack, M. Nikola, T. Nolta, M. Parshley, S.C. Riechers, D. Schilken, P. Scott, D. Stein, G. Stevens, J. Stutzki, J. Vavagiakis, E.M. Viero, M.P. Dept. of Astronomy Cornell Univ. IthacaNY14853 United States Facultad de Ingenieriá y Ciencias Núcleo de Astronomiá Univ. Diego Portales Santiago8370191 Chile Argelander Inst. for Astronomy Rheinishche Friedrich-Wilhelms Univ. of Bonn BonnD-53121 Germany Center for Computational Astrophysics Simons Foundation Nyc NY10010 United States Centre for Mathematical Sciences DAMTP Wilberforce Road CambridgeCB3 0WA United Kingdom Canadian Inst. for Theoretical Astrophysics 60 St George St TorontoONM5S 3H8 Canada Facultad de Ingenieriá Univ. Católica de la Santísima Concepción Alonso de Ribera 2850 Concepción Chile Dept. of Physics and Astronomy Univ. of British Columbia Vancouver BC Canada National Research Council Canada Herzberg Astronomy & Astrophysics VictoriaBC Canada Kavli Inst. for Particle Astrophysics and Cosmology and Physics Dept. Stanford Univ. StanfordCA94305 United States Dept. of Applied and Engineering Physics Cornell Univ. IthacaNY14853 United States Dept. of Physics and Astronomy Univ. of Waterloo 200 University Avenue West Waterloo on N2L 3G1 Canada Dept. of Physics Cornell Univ. IthacaNY14853 United States I. Physical Inst. Univ. zu Köln Zülpicher Str.77 Köln50937 Germany Max-Planck-Institut fur Extraterrestrische Physik Giessenbachstr. Garching85748 Germany Dunlap Inst. for Astronomy & Astrophysics Univ. of Toronto 5-St. George Street TorontoM5S 3H4 Canada Kavli Inst. for Cosmology Madingley Road Cambridge CB3 0HA UK United Kingdom Kapteyn Astronomical Institute Univ. of Groningen P.O. Box 800 AV Groningen9700 Netherlands Van Swinderen Inst. for Particle Physics and Gravity Univ. of Groningen Nijenborgh 4 AG Groningen9747 Netherlands Center for Astrophysics and Planetary Science Cornell Univ. IthacaNY14853 United States

We present the detailed science case, and brief descriptions of the telescope design, site, and first light instrument plans for a new ultra-wide field submillimeter observatory, CCAT-prime, that we are constructing at a 5600 m elevation site on Cerro Chajnantor in northern Chile. Our science goals are to study star and galaxy formation from the epoch of reionization to the present, investigate the growth of structure in the Universe, improve the precision of B-mode CMB measurements, and investigate the interstellar medium and star formation in the Galaxy and nearby galaxies through spectroscopic, polarimetric, and broadband surveys at wavelengths from 200 ?m to 2 mm. These goals are realized with our two first light instruments, a large field-of-view (FoV) bolometer-based imager called Prime-Cam (that has both camera and an imaging spectrometer modules), and a multi-beam submillimeter heterodyne spectrometer, CHAI. CCAT-prime will have very high surface accuracy and very low system emissivity, so that combined with its wide FoV at the unsurpassed CCAT site our telescope/instrumentation combination is ideally suited to pursue this science. The CCAT-prime telescope is being designed and built by Vertex Antennentechnik GmbH. We expect to achieve first light in the spring of 2021. Copyright © 2018, The Authors. All rights reserved.

关键词： Galaxies

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Sparse approximations of directed information graphs

Sparse approximations of directed information graphs

引用

IEEE International Symposium on Information Theory

作者： Christopher J. Quinn Ali Pinar Jing Gao Lu Su School of Industrial Engineering Purdue University West Lafayette IN USA Data Sciences & Cyber Anal. Dept. Sandia National Laboratories Livermore CA USA Dept. of Computer Science and Engineering University at Buffalo Buffalo NY USA

ISBN: (纸本)9781509018079

Given a network of agents interacting over time, which few interactions best characterize the dynamics of the whole network? We propose an algorithm that finds the optimal sparse approximation of a network. The user controls the level of sparsity by specifying the total number of edges. The networks are represented using directed information graphs, a graphical model that depicts causal influences between agents in a network. Goodness of approximation is measured with Kullback-Leibler divergence. The algorithm finds the best approximation with no assumptions on the topology or the class of the joint distribution.

关键词： Approximation algorithms Heuristic algorithms Graphical models Network topology Information theory Topology Bayes methods

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HD 213885b: A transiting 1-day-period super-Earth with an Earth-like composition around a bright (V = 7.9) star unveiled by TESS

arXiv

引用

arXiv 2019年

作者： Espinoza, Néstor Brahm, Rafael Henning, Thomas Jordán, Andrés Dorn, Caroline Rojas, Felipe Sarkis, Paula Kossakowski, Diana Schlecker, Martin Díaz, Matías R. Jenkins, James S. Aguilera-Gomez, Claudia Jenkins, Jon M. Twicken, Joseph D. Collins, Karen A. Lissauer, Jack Armstrong, David J. Adibekyan, Vardan Barrado, David Barros, Susana C.C. Battley, Matthew Bayliss, Daniel Bouchy, François Bryant, Edward M. Cooke, Benjamin F. Demangeon, Olivier D.S. Dumusque, Xavier Figueira, Pedro Giles, Helen Lillo-Box, Jorge Lovis, Christophe Nielsen, Louise D. Pepe, Francesco Pollacco, Don Santos, Nuno C. Sousa, Sergio G. Udry, Stéphane Wheatley, Peter J. Turner, Oliver Marmier, Maxime Ségransan, Damien Ricker, George Latham, David Seager, Sara Winn, Joshua N. Kielkopf, John F. Hart, Rhodes Wingham, Geof Jensen, Eric L.N. Helminiak, Krzysztof G. Tokovinin, A. Briceño, C. Ziegler, Carl Law, Nicholas M. Mann, Andrew W. Daylan, Tansu Doty, John P. Guerrero, Natalia Boyd, Patricia Crossfield, Ian Morris, Robert L. Henze, Christopher E. Chacon, Aaron Dean Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States Max-Planck-Institut für Astronomie Königstuhl 17 Heidelberg69117 Germany Center of Astro-Engineering UC Pontificia Universidad Católica de Chile Instituto de Astrofísica Facultad de Física Pontificia Universidad Católica de Chile Facultad de Ingeniería y Ciencias Universidad Adolfo Ibáñez Av. Diagonal las Torres 2640 Peñalolén Santiago Chile Millennium Institute for Astrophysics Santiago Chile University of Zurich Institut of Computational Sciences University of Zurich Winterthurerstrasse 190 ZurichCH-8057 Switzerland Departamento de Astronomía Universidad de Chile Camino El Observatorio 1515 Las Condes Santiago Chile Departamento de Ciencias Físicas Facultad de Ciencias Exactas Universidad Andrés Bello Las Condes RMSantiago Chile NASA Ames Research Center Moffett FieldCA94035 United States SETI Institute Moffett FieldCA94035 United States Center for Astrophysics Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States Department of Physics University of Warwick Gibbet Hill Road CoventryCV4 7AL United Kingdom Centre for Exoplanets and Habitability University of Warwick Gibbet Hill Road CoventryCV4 7AL United Kingdom Instituto de Astrofísica e Ciências do Espaço Universidade do Porto CAUP Rua das Estrelas PortoPT4150-762 Portugal ESAC campus Camino Bajo del Castillo s/n Villanueva de la Cañada Madrid28692 Spain Observatoire de l’Université de Genève 51 chemin des Maillettes Versoix1290 Switzerland European Southern Observatory Alonso de Cordova 3107 Vitacura Casilla Santiago 1919001 Chile Departamento de Física e Astronomia Faculdade de Ciências Universidade do Porto Rua do Campo Alegre Porto4169-007 Portugal Department of Physics Kavli Institute for Astrophysics and Space Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Astrophysical Sciences Princeton University PrincetonNJ085

We report the discovery of the 1.008-day, ultra-short period (USP) super-Earth HD 213885b (TOI-141b) orbiting the bright (V = 7.9) star HD 213885 (TOI-141, TIC 403224672), detected using photometry from the recently launched TESS mission. Using FEROS, HARPS and CORALIE radial velocities, we measure a precise mass of 8.8 ± 0.6M* for this 1.74 ± 0.05R* exoplanet, which provides enough information to constrain its bulk composition — similar to Earth’s but enriched in iron. The radius, mass and stellar irradiation of HD 213885b are, given our data, very similar to 55 Cancri e, making this exoplanet a good target to perform comparative exoplanetology of short period, highly irradiated super-Earths. Our precise radial velocities reveal an additional 4.78-day signal which we interpret as arising from a second, non-transiting planet in the system, HD 213885c, whose minimum mass of 19.9 ± 1.4M* makest it consistent with being a Neptune-mass exoplanet. The HD 213885 system is very interesting from the perspective of future atmospheric characterization, being the second brightest star to host an ultra-short period transiting super-Earth (with the brightest star being, in fact, 55 Cancri). Prospects for characterization with present and future observatories are *** Codes 85-XX Copyright © 2019, The Authors. All rights reserved.

关键词： Extrasolar planets

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Euclid preparation: II. The EuclidEmulator – A tool to compute the cosmology dependence of the nonlinear matter power spectrum

arXiv

引用

arXiv 2018年

作者： Knabenhans, Mischa Stadel, Joachim Marelli, Stefano Potter, Doug Teyssier, Romain Legrand, Laurent Schneider, Aurel Sudret, Bruno Blot, Linda Awan, Saeeda Burigana, Carlo Carvalho, Carla Sofia Kurki-Suonio, Hannu Sirri, Gabriele Institute for Computational Science University of Zurich Winterthurerstrasse 190 Zurich8057 Switzerland Chair of Risk Safety and Uncertainty Quantification Dept. of Civil Engineering ETH Zurich Stefano-Franscini-Platz 5 Zurich8093 Switzerland Kapteyn Astronomical Institute University of Groningen Landleven 12 Groningen9747 Netherlands Institute for Particle Physics and Astrophysics Dept. of Physics ETH Zurich Wolfgang-Pauli-Strasse 27 Zurich8093 Switzerland Campus UAB Carrer de Can Magrans s/n Barcelona08193 Spain Barcelona08034 Spain Mullard Space Science Laboratory University College London Holmbury St. Mary DorkingRH5 6NT United Kingdom INAF Istituto di Radioastronomia Via Piero Gobetti 101 BolognaI-40129 Italy Dipartimento di Fisica e Scienze della Terra Università di Ferrara Via Giuseppe Saragat 1 FerraraI-44122 Italy Istituto Nazionale di Fisica Nucleare Sezione di Bologna Via Irnerio 46 BolognaI-40126 Italy Instituto de Astrofísica e Ciências do Espaço Faculdade de Ciências Universidade de Lisboa Tapada da Ajuda LisboaPT-1349-018 Portugal Department of Physics Helsinki Institute of Physics University of Helsinki Gustaf Hällströmin katu 2 00014 Finland INFN - Bologna Istituto Nazionale di Fisica Nucleare V.le Berti Pichat 6/2 Bologna40127 Italy

We present a new power spectrum emulator named EuclidEmulator that estimates the nonlinear correction to the linear dark matter power spectrum depending on the six cosmological parameters ωb, ωm, ns, h, w0 and σ8. It is constructed using the uncertainty quantification software UQLab using a spectral decomposition method called polynomial chaos expansion. All steps in its construction have been tested and optimized: the large high-resolution N-body simulations carried out with PKDGRAV3 were validated using a simulation from the Euclid Flagship campaign and demonstrated to have converged up to wavenumbers k ≈ 5 hMpc−1 for redshifts z ≤ 5. The emulator is based on 100 input cosmologies simulated in boxes of (1250Mpc/h)3 using 20483 particles. We show that by creating mock emulators it is possible to successfully predict and optimize the performance of the final emulator prior to performing any N-body simulations. The absolute accuracy of the final nonlinear power spectrum is as good as one obtained with N-body simulations, conservatively, ∼ 1% for k . 1 hMpc−1 and z . 1. This enables efficient forward modeling in the nonlinear regime allowing for estimation of cosmological parameters using Markov Chain Monte Carlo (MCMC) methods. EuclidEmulator has been compared to HALOFIT, CosmicEmu and NGenHalofit, and shown to be more accurate than these other approaches. This work paves a new way for optimal construction of future emulators that also consider other cosmological observables, use higher resolution input simulations and investigate higher dimensional cosmological parameter spaces. Copyright © 2018, The Authors. All rights reserved.

关键词： Cosmology

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Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching 40

Pedestrian localization in moving platforms using dead recko...

引用

40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Bojja, Jayaprasad Collin, Jussi Särkkä, Simo Takala, Jarmo Dept. Pervasive Computing Tampere University of Technology Tampere Finland Dept. Biomedical Engineering and Computational Science Aalto University Espoo Finland

ISBN: (纸本)9781467369978

Localization in global navigation satellite system denied environments using inertial sensors alone, or radio sensors alone or a combination of both are the currently active research topics. The current research works are primarily focused on static environments with earth fixed coordinate frames, having nonmoving maps. In this research work, we use micro electromechanical sensors based inertial sensors, band pass filtering, particle filtering, maps and map matching techniques for pedestrian localization with respect to on ground moving platforms such as train or bus. Since these platforms are moving, the maps of such platforms are moving maps with respect to earth centered, earth fixed coordinate frames. The techniques of this research work could further be extended and adapted to other moving platforms such as airplanes, boats and submarines. © 2015 IEEE.

关键词： indoor environments map matching moving maps particle filters pedestrian dead reckoning sensor fusion

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

引用

arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Genomics and epidemiology for gastric adenocarcinomas (GE4GAC): a Brazilian initiative to study gastric cancer

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Applied Cancer Research 2019年第1期39卷 1-4页

作者： Bartelli, Thais F. Senda de Abrantes, Lais L. Freitas, Helano C. Thomas, Andrew M. Silva, Jordana M. Albuquerque, Gabriela E. Araújo, Luiza F. Branco, Gabriela P. de Amorim, Maria G. Serpa, Marianna S. Takenaka, Isabella K. T. M. Souza, Deborah T. Monção, Lucas O. Moda, Bruno S. Valieris, Renan Defelicibus, Alexandre Borges, Rodrigo Drummond, Rodrigo D. Alves, Francisco I. A. Santos, Monize N. P. Bobrovnitchaia, Irina G. Elhaik, Eran Coelho, Luiz G. V. Khayat, André Demachki, Samia Assumpção, Paulo P. Santiago, Karina M. Torrezan, Giovana T. Carraro, Dirce M. Peres, Stela V. Calsavara, Vinícius F. Burbano, Rommel Nóbrega, Calebe R. Baladão, Graziela P. P. Pereira, Ana C. C. Gatti, Camila M. Fagundes, Marcela A. Araújo, Marília S. Miranda, Tayana V. Barbosa, Monica S. Cardoso, Daniela M. M. Carneiro, Lilian C. Brito, Alexandre M. Ramos, Amanda F. P. L. Silva, Lucas L. L. Pontes, Jaqueline C. Tiengo, Tatiane Arantes, Paola E. Santana, Vilma Cordeiro, Milena Sant’Ana, Rosane O. Andrade, Hanna B. Anaissi, Ana K. M. Sampaio, Sara V. Abdallah, Emne A. Chinen, Ludmilla T. D. Braun, Alexcia C. Flores, Bianca C. T. Mello, Celso A. L. Claro, Laura C. L. Sztokfisz, Claudia Z. Altamirano, Carlos C. Carter, David R. F. Jesus, Victor H. F. Riechelmann, Rachel Medina, Tiago Gollob, Kenneth J. Martins, Vilma R. Setúbal, João C. Pelosof, Adriane G. Coimbra, Felipe J. Costa-Jr, Wilson L. Silva, Israel T. Nunes, Diana N. Curado, Maria P. Dias-Neto, Emmanuel Lab of Medical Genomics A.C.Camargo Cancer Center Sao Paulo Brazil International Research Center A.C.Camargo Cancer Center Sao Paulo Brazil Clinical Oncology Department A.C. Camargo Cancer Center São Paulo Brazil Department CIBIO University of Trento Trento Italy Biochemistry Department Chemistry Institute Universidade de São Paulo São Paulo Brazil Lab. of Bioinformatics and Computational Biology A.C.Camargo Cancer Center Sao Paulo Brazil Data Science group International Research Center A.C.Camargo Cancer Center Sao Paulo Brazil Department of Animal & Plant Sciences University of Sheffield Sheffield UK Instituto Alfa de Gastroenterologia Hospital das Clínicas Universidade Federal de Minas Gerais Belo Horizonte Brazil Instituto de Ciências Biológicas Universidade Federal do Pará Belém Brazil Núcleo de Pesquisas em Oncologia Universidade Federal do Pará Belém Brazil Lab. de Genômica e Biologia Molecular A.C.Camargo Cancer Center Sao Paulo Brazil Epidemiology and Statistics Group A.C.Camargo Cancer Center Sao Paulo Brazil Laboratório de Biologia Molecular Hospital Ophir Loyola Belém Brazil Universidade Federal de Goiás IPTESP – Instituto de Patologia Tropical e Saúde Pública Goiânia Brazil Department of Abdominal Surgery Hospital Araujo Jorge Goiânia Brazil Instituto de Saúde Coletiva da Universidade Federal da Bahia Salvador Brazil Instituto do Cancer do Ceará Fortaleza Brazil Department of Pathology A.C.Camargo Cancer Center São Paulo Brazil Endoscopy sector A.C.Camargo Cancer Center São Paulo Brazil Instituto Nacional de Enfermedades Neoplásicas Surquillo Peru Dept. of Biological and Medical Sciences Faculty of Health and Life Sciences Oxford Brookes University Oxford UK Translational Immuno-oncology Group A.C.Camargo Cancer Center Sao Paulo Brazil Tumor Biology and Biomarkers Group A.C.Camargo Cancer Center Sao Paulo Brazil Department of Abdominal Surgery A.C.Camargo Cancer Center São Paulo Brazil

Gastric cancer (GC) is the fifth most common type of cancer worldwide with high incidences in Asia, Central, and South American countries. This patchy distribution means that GC studies are neglected by large research centers from developed countries. The need for further understanding of this complex disease, including the local importance of epidemiological factors and the rich ancestral admixture found in Brazil, stimulated the implementation of the GE4GAC project. GE4GAC aims to embrace epidemiological, clinical, molecular and microbiological data from Brazilian controls and patients with malignant and pre-malignant gastric disease. In this letter, we summarize the main goals of the project, including subject and sample accrual and current findings.

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