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IEEE International Symposium on Biomedical Imaging

作者： Juan Eloy Arco Javier Ramírez Carlos G. Puntonet Juan Manuel Górriz María Ruz Department of Experimental Psychology University of Granada Granada 18071 Spain Department of Signal Theory Networking and Communications University of Granada Granada 18071 Spain Department of Architecture and Computer Technology University of Granada Granada 18071 Spain

ISBN: (纸本)9781479923519

Alzheimer's disease (AD) is the most common cause of dementia. Nowadays, 44 million people worldwide suffer from this neurodegenerative disease. Fortunately, the use of new technologies can help doctors in diagnosing this disease in an increasingly early stage, which is vital to prevent its advance. In this work we have developed a new automatic method to predict if patients suffering from mild cognitive impairment (MCI) will develop AD within one year or, conversely, its impairment will remain stable. This technique is based on the so-called Searchlight, a widely known approach in fMRI but which has not been previously used with structural images. Besides analyzing the intensity of the voxels in each of the subregions defined by the Searchlight, data from two neuro-psychological tests were used during the classification process, achieving an accuracy of 84%.

关键词： Alzheimer's disease Databases Magnetic resonance imaging Biomarkers Psychology Brain

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Search for a light charged Higgs boson in the H±→cs channel in proton-proton collisions at s=13 TeV

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Physical Review D 2020年第7期102卷 072001-072001页

作者： A. M. Sirunyan A. Tumasyan W. Adam F. Ambrogi T. Bergauer M. Dragicevic J. Erö A. Escalante Del Valle R. Frühwirth M. Jeitler N. Krammer L. Lechner D. Liko T. Madlener I. Mikulec F. M. Pitters N. Rad J. Schieck R. Schöfbeck M. Spanring S. Templ W. Waltenberger C.-E. Wulz M. Zarucki V. Chekhovsky A. Litomin V. Makarenko J. Suarez Gonzalez M. R. Darwish E. A. De Wolf D. Di Croce X. Janssen T. Kello A. Lelek M. Pieters H. Rejeb Sfar H. Van Haevermaet P. Van Mechelen S. Van Putte N. Van Remortel F. Blekman E. S. Bols S. S. Chhibra J. D’Hondt J. De Clercq D. Lontkovskyi S. Lowette I. Marchesini S. Moortgat A. Morton Q. Python S. Tavernier W. Van Doninck P. Van Mulders D. Beghin B. Bilin B. Clerbaux G. De Lentdecker B. Dorney L. Favart A. Grebenyuk A. K. Kalsi I. Makarenko L. Moureaux L. Pétré A. Popov N. Postiau E. Starling L. Thomas C. Vander Velde P. Vanlaer D. Vannerom L. Wezenbeek T. Cornelis D. Dobur M. Gruchala I. Khvastunov M. Niedziela C. Roskas K. Skovpen M. Tytgat W. Verbeke B. Vermassen M. Vit G. Bruno F. Bury C. Caputo P. David C. Delaere M. Delcourt I. S. Donertas A. Giammanco V. Lemaitre K. Mondal J. Prisciandaro A. Taliercio M. Teklishyn P. Vischia S. Wuyckens J. Zobec G. A. Alves G. Correia Silva C. Hensel A. Moraes W. L. Aldá Júnior E. Belchior Batista Das Chagas H. BRANDAO MALBOUISSON W. Carvalho J. Chinellato E. Coelho E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza J. Martins D. Matos Figueiredo M. Medina Jaime M. Melo De Almeida C. Mora Herrera L. Mundim H. Nogima P. Rebello Teles L. J. Sanchez Rosas A. Santoro S. M. Silva Do Amaral A. Sznajder M. Thiel E. J. Tonelli Manganote F. Torres Da Silva De Araujo A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores D. S. Lemos P. G. Mercadante S. F. Novaes Sandra S. Padula A. Aleksandrov G. Antchev I. Atanasov R. Hadjiiska P. Iaydjiev M. Misheva M. Rodozov M. Shopova G. Sultanov M. Bonchev A. Dimitrov T. Ivanov L. Litov B. Pavlov P. Petkov A. Petrov W. Fang Q. Guo H. Wang L. Yuan M. Ahmad Z. Hu Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Wien Austria Institute for Nuclear Problems Minsk Belarus 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 São Paulo Brazil 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 Beihang University Beijing China Rutgers The State University of New Jersey Piscataway New Jersey USA Department of Physics Tsinghua University Beijing China University of Virginia Charlottesville Virginia USA Institute of High Energy Physics Beijing China Massachusetts Institute of Technology Cambridge Massachusetts USA State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China The University of Kansas Lawrence Kansas USA Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE)—Fudan University Shanghai China Zhejiang University 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 Ener

A search is conducted for a low-mass charged Higgs boson produced in a top quark decay and subsequently decaying into a charm and a strange quark. The data sample was recorded in proton-proton collisions at s=13 TeV by the CMS experiment at the LHC and corresponds to an integrated luminosity of 35.9 fb−1. The search is performed in the process of top quark pair production, where one top quark decays to a bottom quark and a charged Higgs boson and the other to a bottom quark and a W boson. With the W boson decaying to a charged lepton (electron or muon) and a neutrino, the final state comprises an isolated lepton, missing transverse momentum, and at least four jets, of which two are tagged as b jets. To enhance the search sensitivity, one of the jets originating from the charged Higgs boson is required to satisfy a charm tagging selection. No significant excess beyond standard model predictions is found in the dijet invariant mass distribution. An upper limit in the range 1.68%–0.25% is set on the branching fraction of the top quark decay to the charged Higgs boson and bottom quark for a charged Higgs boson mass between 80 and 160 GeV.

关键词： Higgs bosons Hypothetical gauge bosons Hadron colliders

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Evolutionary deckbuilding in hearthstone

Evolutionary deckbuilding in hearthstone

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IEEE Symposium on Computational Intelligence and Games, CIG

作者： Pablo García-Sánchez Alberto Tonda Giovanni Squillero Antonio Mora Juan J. Merelo Dept. of Computer Architecture and Computer Technology University of Granada Granada Spain UMR 782 INRA Thiverval-Grignon France Politecnico di Torino Torino Italy Department of Software Engineering University of Granada Granada Spain

ISBN: (纸本)9781509018840

One of the most notable features of collectible card games is deckbuilding, that is, defining a personalized deck before the real game. Deckbuilding is a challenge that involves a big and rugged search space, with different and unpredictable behaviour after simple card changes and even hidden information. In this paper, we explore the possibility of automated deckbuilding: a genetic algorithm is applied to the task, with the evaluation delegated to a game simulator that tests every potential deck against a varied and representative range of human-made decks. In these preliminary experiments, the approach has proven able to create quite effective decks, a promising result that proves that, even in this challenging environment, evolutionary algorithms can find good solutions.

关键词： Games Evolutionary computation Artificial intelligence Electronic mail Crystals Standards Buildings

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Asynchronous Detection of Trials Onset from Raw EEG Signals

Asynchronous Detection of Trials Onset from Raw EEG Signals

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作者： Lopez-Gordo, M.A. Grima Murcia, M.D. Padilla, Pablo Pelayo, F. Fernandez, E. Department of Signal Theory Telematics and Communications University of Granada Spain Nicolo Association Churriana de la Vega Granada Spain Institute of Bioengineering University Miguel Hernández CIBER BBN Av. de la Universidad Elche03202 Spain Department of Signal Theory Communications and Networking University of Granada 18071 Spain Department of Computer Architecture and Technology University of Granada c/Periodista Daniel Saucedo Granada18071 Spain

Clinical processing of event-related potentials (ERPs) requires a precise synchrony between the stimulation and the acquisition units that are guaranteed by means of a physical link between them. This precise synchrony is needed since temporal misalignments during trial averaging can lead to high deviations of peak times, thus causing error in diagnosis or inefficiency in classification in brain-computer interfaces (BCIs). Out of the laboratory, mobile EEG systems and BCI headsets are not provided with the physical link, thus being inadequate for acquisition of ERPs. In this study, we propose a method for the asynchronous detection of trials onset from raw EEG without physical links. We validate it with a BCI application based on the dichotic listening task. The user goal was to attend the cued auditory message and to report three keywords contained in it while ignoring the other message. The BCI goal was to detect the attended message from the analysis of auditory ERPs. The rate of successful onset detection in both synchronous (using the real onset) and asynchronous (blind detection of trial onset from raw EEG) was 73% with a synchronization error of less than 1ms. The level of synchronization provided by this proposal would allow home-based acquisition of ERPs with low cost BCI headsets and any media player unit without physical links between them. © 2016 World Scientific Publishing Company.

关键词： Brain computer interface

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Fuzzy partitions for modelling texture properties: Coarseness, contrast and directionality

Fuzzy partitions for modelling texture properties: Coarsenes...

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IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015

作者： Chamorro-Martinez, Jesus Martinez-Jimenez, Pedro Manuel Soto-Hidalgo, Jose Manuel Department of Computer Science and Artificial Intelligence University of Granada Spain Department of Computer Architecture Electronics and Electronic Technology University of Córdoba Spain

ISBN: (纸本)9781467374286

The analysis of the perceptual properties of texture plays a fundamental role in tasks like semantic description of images or content-based image retrieval using linguistic queries. In this paper, we propose to model these properties by means of fuzzy partitions defined on the domain of some representative measures. In particular, we have focused our study on the properties of coarseness, contrast and directionality, that play a fundamental role in the human perception of texture. In our approach, the number of fuzzy sets in the partitions, as well as the parameters of the membership functions, are calculated by taking into account the relationship between the computational values given by the measures and the human perception of the corresponding property. The performance of the proposed modelling has been analyzed by applying the obtained fuzzy partitions in several experiments. © 2015 IEEE.

关键词： Membership functions

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Double cascade reconstruction in KM3NeT/ARCA

arXiv

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arXiv 2022年

作者： van Eeden, T. Heijboer, A. Ageron, M. Aiello, S. Albert, A. Alshamsi, M. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androulakis, G. Anghinolfi, M. Anguita, M. Anton, G. Ardid, M. Ardid, S. Assal, W. Aublin, J. Bagatelas, C. Baret, B. Basegmez du Pree, S. Bendahman, M. Benfenati, F. Berbee, E. van den Berg, A.M. Bertin, V. Beurthey, S. van Beveren, V. Biagi, S. Billault, M. Bissinger, M. Boettcher, M. Bou Cabo, M. Boumaaza, J. Bouta, M. Boutonnet, C. Bouvet, G. Bouwhuis, M. Bozza, C. Brânzaş, H. Bruijn, R. Brunner, J. Bruno, R. Buis, E. Buompane, R. Busto, J. Caiffi, B. Caillat, L. Calvo, D. Campion, S. Capone, A. Carduner, H. Carretero, V. Castaldi, P. Celli, S. Cereseto, R. Chabab, M. Champion, C. Chau, N. Chen, A. Cherubini, S. Chiarella, V. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.B. Coleiro, A. Colomer Molla, M. Colonges, S. Coniglione, R. Cosquer, A. Coyle, P. Cresta, M. Creusot, A. Cruz, A. Cuttone, G. D'Amico, A. Dallier, R. De Martino, B. De Palma, M. Di Palma, I. Díaz, A.F. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drouhin, D. Eberl, T. Eddyamoui, A. van Eeden, T. van Eijk, D. El Bojaddaini, I. Eljarrari, H. Elsaesser, D. Enzenhöfer, A. Espinosa, V. Fermani, P. Ferrara, G. Filipović, M.D. Filippini, F. Fransen, J. Fusco, L.A. Gajanana, D. Gal, T. García Méndez, J. Garcia Soto, A. Garçon, E. Garufi, F. Gatius, C. Geißelbrecht, N. Gialanella, L. Giorgio, E. Gozzini, S.R. Gracia, R. Graf, K. Grella, G. Guderian, D. Guidi, C. Guillon, B. Gutiérrez, M. Haefner, J. Hallmann, S. Hamdaoui, H. van Haren, H. Heijboer, A. Hekalo, A. Hennig, L. Henry, S. Hernández-Rey, J.J. Hofestädt, J. Huang, F. Idrissi Ibnsalih, W. Ilioni, A. Illuminati, G. James, C.W. Janezashvili, D. Jansweijer, P. de Jong, M. de Jong, P. Jung, B.J. Kadler, M. Kalaczyński, P. Kalekin, O. Katz, U.F. Kayzel, F. Keller, P. Khan Chowdhury, N.R. Kistauri, G. van der Knaap, F. Kooijman, P. Nikhef Science Park 105 Amsterdam1098 XG Netherlands Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France c/Catedrático José Beltrán 2 Valencia Paterna46980 Spain INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d'Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú 08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Straße 1 Erlangen91058 Germany Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/Paranimf 1 Gandia46730 Spain Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy Dipartimento di Fisica INFN Sezione di Padova Università di Padova PadovaI-35131 Italy Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2 Bologna40127 Italy KVI-CART University of Groningen Groningen Netherlands INFN Laboratori Nazionali del Sud Via S. Sofia 6

The detection of astrophysical vτ is an important verification of the observed flux of high-energy neutrinos. A flavour ratio of approximately ve : vμ : vτ ≈ 1: 1: 1 is predicted for astrophysical neutrinos measured at Earth due to neutrino oscillations. On top of this, the vτ offers a unique channel for neutrino astronomy due to absence of an atmospheric vτ background contribution. When a vτ interacts it produces a particle cascade and often a τ lepton which in turn decays mainly into another cascade. This results in a double cascade signature. An excellent angular resolution can be achieved when both cascade vertices are reconstructed. The KM3NeT/ARCA detector, which is under construction in the Mediterranean sea, will be able to detect this signature due to its timing and spatial resolution for cascades. We will discuss the dedicated reconstruction algorithm and performance for reconstructing double cascades using KM3NeT. The angular deviation reaches sub-degree level for tau lengths larger than 25 meters. © 2022, CC BY.

关键词： Astrophysics

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High-energy reconstruction for single and double cascades using the KM3NeT detector

arXiv

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arXiv 2022年

作者： Heijboer, Aart Ageron, M. Aiello, S. Albert, A. Alshamsi, M. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androulakis, G. Anghinolfi, M. Anguita, M. Anton, G. Ardid, M. Ardid, S. Assal, W. Aublin, J. Bagatelas, C. Baret, B. Basegmez du Pree, S. Bendahman, M. Benfenati, F. Berbee, E. van den Berg, A.M. Bertin, V. Beurthey, S. van Beveren, V. Biagi, S. Billault, M. Bissinger, M. Boettcher, M. Bou Cabo, M. Boumaaza, J. Bouta, M. Boutonnet, C. Bouvet, G. Bouwhuis, M. Bozza, C. Brânzaş, H. Bruijn, R. Brunner, J. Bruno, R. Buis, E. Buompane, R. Busto, J. Caiffi, B. Caillat, L. Calvo, D. Campion, S. Capone, A. Carduner, H. Carretero, V. Castaldi, P. Celli, S. Cereseto, R. Chabab, M. Champion, C. Chau, N. Chen, A. Cherubini, S. Chiarella, V. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.B. Coleiro, A. Colomer Molla, M. Colonges, S. Coniglione, R. Cosquer, A. Coyle, P. Cresta, M. Creusot, A. Cruz, A. Cuttone, G. D'Amico, A. Dallier, R. De Martino, B. De Palma, M. Di Palma, I. Díaz, A.F. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drouhin, D. Eberl, T. Eddyamoui, A. van Eeden, Thijs van Eijk, D. El Bojaddaini, I. Eljarrari, H. Elsaesser, D. Enzenhöfer, A. Espinosa, V. Fermani, P. Ferrara, G. Filipović, M.D. Filippini, F. Fransen, J. Fusco, L.A. Gajanana, D. Gal, T. García Méndez, J. Garcia Soto, A. Garçon, E. Garufi, F. Gatius, C. Geißelbrecht, N. Gialanella, L. Giorgio, E. Gozzini, S.R. Gracia, R. Graf, K. Grella, G. Guderian, D. Guidi, C. Guillon, B. Gutiérrez, M. Haefner, J. Hallmann, S. Hamdaoui, H. van Haren, H. Heijboer, A. Hekalo, A. Hennig, L. Henry, S. Hernández-Rey, J.J. Hofestädt, J. Huang, F. Idrissi Ibnsalih, W. Ilioni, A. Illuminati, G. James, C.W. Janezashvili, D. Jansweijer, P. de Jong, M. de Jong, P. Jung, B.J. Kadler, M. Kalaczyński, P. Kalekin, O. Katz, U.F. Kayzel, F. Keller, P. Khan Chowdhury, N.R. Kistauri, G. van der Knaap, F. Kooijman, P. Kouchner, A. Nikhef Science Park 105 Amsterdam1098 XG Netherlands Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d'Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Straße 1 Erlangen91058 Germany Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/Paranimf 1 Gandia46730 Spain Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy Dipartimento di Fisica INFN Sezione di Padova Università di Padova PadovaI-35131 Italy Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2 Bologna40127 Italy KVI-CART University of Groningen Groningen Netherlands INFN Laboratori Nazionali del Sud Via S. Sofia 62

The discovery of a high-energy cosmic neutrino flux has paved the way for the field of neutrino astronomy. For a large part of the flux, the sources remain unidentified. The KM3NeT detector, which is under construction in the Mediterranean sea, is designed to determine their origin. KM3NeT will instrument a cubic kilometre of seawater with photomultiplier tubes that detect Cherenkov radiation from neutrino interaction products with nanosecond precision. For single cascade event signatures, KM3NeT already showed that it can reach degree-level resolutions, greatly increasing the use of these neutrinos for astronomy. In this contribution, we further refine the cascade reconstruction by making a more detailed model of the neutrinos events and including additional information on the hit times. The arrival time of light can be used to improve the identification of double cascade signatures from tau neutrinos, and the angular resolution of both single and double cascade signatures. Sub-degree resolution is achieved in both cases. © 2022, CC BY-NC-ND.

关键词： Photomultipliers

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Studying bioluminescence flashes with the ANTARES deep Sea neutrino telescope

arXiv

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arXiv 2021年

作者： Reeb, Nico Hutschenreuter, S. Zehetner, P. Ensslin, T. Albert, A. Alves, S. André, M. Anghinolfi, M. Anton, G. Ardid, M. Aubert, J.-J. Aublin, J. Baret, B. Basa, S. Belhorma, B. Bendahman, M. Bertin, V. Biagi, S. Bissinger, M. Boumaaza, J. Bouta, M. Bouwhuis, M.C. Brânzaş, H. Bruijn, R. Brunner, J. Busto, J. Caiffi, B. Capone, A. Caramete, L. Carr, J. Carretero, V. Celli, S. Chabab, M. Chau, T.N. Chiarusi, T. Circella, M. Coleiro, A. Colomer-Molla, M. Coniglione, R. Coyle, P. Creusot, A. Díaz, A.F. de Wasseige, G. Deschamps, A. Distefano, C. Di Palma, I. Domi, A. Donzaud, C. Dornic, D. Drouhin, D. van Eeden, T. Enzenhöfer, A. Fermani, P. Ferrara, G. Filippini, F. Fusco, L. Gatelet, Y. Gay, P. Glotin, H. Gozzini, R. Ruiz, R. Gracia Graf, K. Guidi, C. Hallmann, S. van Haren, H. Heijboer, A.J. Hello, Y. Hernández-Rey, J.J. Hößl, J. Hofestädt, J. Huang, F. Illuminati, G. James, C.W. Jisse-Jung, B. de Jong, M. de Jong, P. Jongen, M. Kadler, M. Kalekin, O. Katz, U. Khan-Chowdhury, N.R. Kouchner, A. Kreykenbohm, I. Kulikovskiy, V. Lahmann, R. Le Breton, R. Lefèvre, D. Leonora, E. Levi, G. Lincetto, M. Lopez-Coto, D. Loucatos, S. Maderer, L. Manczak, J. Marcelin, M. Margiotta, A. Marinelli, A. Martínez-Mora, J.A. Melis, K. Migliozzi, P. Moussa, A. Muller, R. Nauta, L. Navas, S. Nezri, E. Fearraigh, B.Ó. Organokov, M. Pavalaş, G.E. Pellegrino, C. Perrin-Terrin, M. Piattelli, P. Pieterse, C. Poirè, C. Popa, V. Pradier, T. Randazzo, N. Reck, S. Riccobene, G. Romanov, A. Sánchez-Losa, A. Greus, F. Salesa Samtleben, D.F.E. Sanguineti, M. Sapienza, P. Schnabel, J. Schumann, J. Schüssler, F. Spurio, M. Stolarczyk, Th. Taiuti, M. Tingay, S.J. Vallage, B. van Elewyck, V. Versari, F. Viola, S. Vivolo, D. Wilms, J. Zavatarelli, S. Zegarelli, A. Zornoza, J.D. Zúñiga, J. Information Field Theory Group Max Planck Institute for Astrophysics Garching Germany Informatics 6 Chair of Robotics Artificial Intelligence and Real time Systems Technical University of Munich Garching Germany Department of Astrophysics IMAPP Radboud University Nijmegen Nijmegen Netherlands Department of Physics Ludwig-Maximilians University Munich Germany CERN Geneva Switzerland Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Haute Alsace MulhouseF-68200 France IFIC - Instituto de Física Corpuscular CSIC Universitat de València c/ Catedrático José Beltrán 2 Paterna ValenciaE-46980 Spain Technical University of Catalonia Laboratory of Applied Bioacoustics Rambla Exposició Vilanova i la Geltrú Barcelona08800 Spain INFN - Sezione di Genova Via Dodecaneso 33 Genova16146 Italy Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Str. 1 Erlangen91058 Germany Universitat Politècnica de València C/ Paranimf 1 Gandia46730 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France Aix Marseille Univ CNRS CNES LAM Marseille France National Center for Energy Sciences and Nuclear Techniques B.P.1382 RabatR. P. 10001 Morocco University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 R.P. Rabat10000 Morocco Via S. Sofia 62 Catania95123 Italy University Mohammed I Laboratory of Physics of Matter and Radiations B.P.717 Oujda6000 Morocco Nikhef Science Park Amsterdam Netherlands Institute of Space Science Bucharest MagureleRO-077125 Romania Universiteit van Amsterdam Instituut voor Hoge-Energie Fysica Science Park 105 Amsterdam1098 XG Netherlands INFN - Sezione di Roma P.le Aldo Moro 2 Roma00185 Italy Dipartimento di Fisica Università La Sapienza P.le Aldo Moro 2 Roma00185 Italy LPHEA Faculty of Science - Semlali Cadi Ayyad University P.O

We develop a novel technique to exploit the extensive data sets provided by underwater neutrino telescopes to gain information on bioluminescence in the deep sea. The passive nature of the telescopes gives us the unique opportunity to infer information on bioluminescent organisms without actively interfering with them. We propose a statistical method that allows us to reconstruct the light emission of individual organisms, as well as their location and movement. A mathematical model is built to describe the measurement process of underwater neutrino telescopes and the signal generation of the biological organisms. The Metric Gaussian Variational Inference algorithm is used to reconstruct the model parameters using photon counts recorded by the neutrino detectors. We apply this method to synthetic data sets and data collected by the ANTARES neutrino telescope. The telescope is located 40 km off the French coast and fixed to the sea floor at a depth of 2475 m. The runs with synthetic data reveal that we can reliably model the emitted bioluminescent flashes of the organisms. Furthermore, we find that the spatial resolution of the localization of light sources highly depends on the configuration of the telescope. Precise measurements of the efficiencies of the detectors and the attenuation length of the water are crucial to reconstruct the light emission. Finally, the application to ANTARES data reveals the first precise localizations of bioluminescent organisms using neutrino telescope data. © 2021, CC BY.

关键词： Bioluminescence

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Accelerating Iterative Big Data Computing Through MPI

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Journal of computer Science & technology 2015年第2期30卷 283-294页

作者：梁帆鲁小亿 State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Department of Computer Science and Engineering The Ohio State University Columbus OH 43210-1277 U.S.A

Current popular systems, Hadoop and Spark, cannot achieve satisfied performance because of the inefficient overlapping of computation and communication when running iterative big data applications. The pipeline of computing, data movement, and data management plays a key role for current distributed data computing systems. In this paper, we first analyze the overhead of shuffle operation in Hadoop and Spark when running PageRank workload, and then propose an event-driven pipeline and in-memory shuffle design with better overlapping of computation and communication as DataMPI- Iteration, an MPI-based library, for iterative big data computing. Our performance evaluation shows DataMPI-Iteration can achieve 9X-21X speedup over Apache Hadoop, and 2X-3X speedup over Apache Spark for PageRank and K-means.

关键词： iterative computation DataMPI Spark Hadoop MapReduce

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An improved genetic algorithm based on the shortest path problem

An improved genetic algorithm based on the shortest path pro...

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International Conference on Information and Automation (ICIA)

作者： Zhendong Liu Yawei Kong Bin Su Department of Automation Tsinghua University Beijing China School of Computer Science and Technology Shandong Jianzhu University Jinan Shundong Province China Co-Innovation Center of Green Building School of Architecture and Urban Planning Shandong Jianzhu University Jinan Shandong Province China School of Architecture Unitec Institute of Technology Auckland New Zealand

ISBN: (纸本)9781509041039

The problem of dynamic stochastic shortest path is NP-hard. The transportation network of the city is dynamic and stochastic, the optimal problem of path is widely used in the fields of transportation, communication and computer network. The paper investigates the shortest path problem based on the genetic algorithm principle, an improved self adaptive genetic algorithm is proposed by encoding the chromosomal mode. We improved genetic algorithm by adjusting the encoding parameters. The experiments indicate that the improved genetic algorithm DRSP-GA could obtain the better solutions which adapt to new transportation rapidly in global optimization than A* algorithm and Dijkstra algorithm in the shortest path problem.

关键词： Biological cells Genetic algorithms Heuristic algorithms Transportation Shortest path problem Encoding Sociology

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