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Rule Based Approach to Extract Metadata from Scientific PDF Documents

Rule Based Approach to Extract Metadata from Scientific PDF ...

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IEEE conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)

作者： Ahmer Maqsood Hashmi Muhammad Tanvir Afzal Sabih ur Rehman University of Science and Technology Islamabad Pakistan Namal Institute Mianwali Pakistan School of Computing and Mathematics Charles Sturt University Australia

ISBN: (数字)9781728194370

ISBN: (纸本)9781728194387

The number of scientific PDF documents is increasing at a very rapid pace. The searching for these documents is becoming a time consuming task, due to the large number of PDF documents. To make the search and storage more efficient, we need a mechanism to extract metadata from these documents and store this metadata according to their semantics. Extracting information from metadata and storing that information is very time consuming task and requires lots of human effort if performed manually due to large numbers of documents and their varying formats. In this paper, we present a rule-based approach to extract metadata information from the research articles. This approach was developed and evaluated on a diverse data-set provided by ESWC (2016) having a number of different formats and features. Evaluation results show that our proposed approach performs 22% better than CERMINE and 9% better than GROBID.

关键词： Semantics XML Metadata Portable document format Feature extraction data mining Task analysis

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A Genetic Programming Approach Applied to Feature Selection from Medical data 12th

A Genetic Programming Approach Applied to Feature Selection ...

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12th international conference on Practical Applications of Computational Biology and Bioinformatics (PACBB)

作者： Castellanos-Garzon, Jose A. Ramos, Juan Mezquita Martin, Yeray de Paz, Juan F. Costa, Ernesto Univ Salamanca Edificio I D i USAL BISITE Res Grp IBSAL C Espejo S-N Salamanca 37007 Spain Univ Coimbra CISUC ECOS Res Grp Polo 2 Pinhal Marrocos P-3030290 Coimbra Portugal

ISBN: (纸本)9783319987026;9783319987019

Genetic programming represents a flexible and powerful evolutionary technique in machine learning. The use of genetic programming for rule induction has generated interesting results in classification problems. This paper proposes an evolutionary approach for logical rule induction, which is applied to clinical data. Since logical rules disclose knowledge from the analyzed data, we use such a knowledge to filter features from the target dataset. The results reached by the used dataset have been very promising when used in classification tasks and compared with other methods.

关键词： Medical data Feature selection Genetic programming Machine learning data mining Evolutionary computation

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A user profile analysis framework driven by distributed machine learning for big data 2019

A user profile analysis framework driven by distributed mach...

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2019 international conference on Artificial Intelligence and Computer Science, AICS 2019

作者： Wang, Xiaodong Wang, Qing Tao, Ye Department of Computer and Technology Ocean University of China Qingdao China Department of Computer Science and Technology Qingdao University of Science and Technology Qingdao China

ISBN: (纸本)9781450371506

In recent years, big data has become the new focus of attention from all walks of life. The valuable information contained in big data becomes the driving force for people to process and analyze big data. Big data analytics helps enterprises to take better decisions to improve business output. As a user description tool, user profile is widely used in various fields. However, it is difficult to deal with large-scale datasets using traditional methods since the established processes was not designed to handle large volumes of data. In this paper, we propose a user profile analysis framework using machine learning approach which apply advanced machine learning programs to solve industrial scale problems. And this approach can be effective to speculate real and potential needs of various groups of users and precisely extract individual characteristics and group generality. By introducing high-level data parallel framework, the process of large-scale data processing can be executed efficiently. We use real-world data to validate the effectiveness of the proposed framework. © 2019 Association for computing Machinery.

关键词： User profile

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Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detector array of the Pierre Auger Observatory

Measuring the muon content of inclined air showers using AER...

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38th international Cosmic Ray conference, ICRC 2023

作者： Gottowik, Marvin Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Gongora, J.P. Universidade de Santiago de Compostela Santiago de Compostela Spain Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Buenos Aires Argentina CONICET/U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Mendoza Argentina Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM CONICET Campus Miguelete – San Martín Buenos Aires Argentina Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de Física RJ Rio de Janeiro Brazil Observatório do Valongo RJ Rio de Janeiro Brazil Universidade Federal Fluminense EEIMVR RJ Volta Redonda Brazil Universidad de Medellín Medellín Colombia Universidad Industrial de Santander Bucaramanga Colombia Charles University Faculty of Mathe

In this proceeding, we present a proof of principle study for estimating the number of muons of inclined air showers proportional to their energy using hybrid radio and particle detection. We use the radiation energy of an air shower to estimate its electromagnetic energy and measure the muon number independently with the water-Cherenkov detector array (WCD) of the Pierre Auger Observatory. We select 32 high-quality events in almost six years of data with electromagnetic energies above 4 EeV to ensure full efficiency for the WCD reconstruction. The muon content in data is found to be compatible with the one for an iron primary as predicted by current-generation hadronic interaction models. This can be interpreted as a deficit of muons in simulations as a lighter mass composition is expected from Xmax measurements. Such a muon deficit was already observed in previous analyses of the Auger collaboration and is now confirmed for the first time with radio data. Currently, this analysis is limited by low statistics due to the small area of AERA of 17 km2 and the high energy threshold. We will outline the advantages of using radio detection instead of the Auger Fluorescence Detector in future analyses allowing for high-statistic measurements of the muon content as a function of energy. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmic ray detectors

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Towards long duration self-sustainable ocean sampling system∗

Towards long duration self-sustainable ocean sampling system...

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2019 IEEE international conference on Real-Time computing and Robotics, RCAR 2019

作者： Hou, Jiafan Dong, Yibing Ding, Xiao Liu, Hengli Qian, Huihuan Sun, Zhenglong Robotics and Artificial Intelligence Laboratory Chinese University of Hong Kong Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society

ISBN: (纸本)9781728137261

Ocean sampling is a crucial part in the construction of Smart Ocean Environment development. Previously, unmanned surface vessels and traditional surface drifting buoys have been designed and utilized for ocean sampling, but their high cost, weak stability and poor endurance limit the long time and large-scale applications. This paper presents a novel design of self-sustainable ocean sampling system in the form of ocean surface drifting buoy, which is equipped with solar self-power module, and various sensors for data acquisition. Several interfaces were reserved for the functions extensions as well. In consideration of the overall stability and practical executability, regular polyhedron shape is used for the system structure design. Theoretical analysis and simulation were performed and optimized in terms of energy collection efficiency, and finally dodecahedron shape was chosen. A prototype was built and tested in an outdoor water surface environment. The result of the test shows that the system is capable of self-sustainability for long duration ocean sampling. © 2019 IEEE.

关键词： data acquisition

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Study of downward Terrestrial Gamma-ray Flashes with the surface detector of the Pierre Auger Observatory 38

Study of downward Terrestrial Gamma-ray Flashes with the sur...

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38th international Cosmic Ray conference, ICRC 2023

作者： Colalillo, Roberta Dwyer, Joseph Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Università degli Studi di Napoli "Federico II" Dipartimento di Fisica "E. Pancini" Via Cintia Napoli80126 Italy INFN Sezione di Napoli Via Cintia Napoli80126 Italy Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina University of New Hampshire 8 College Road DurhamNH03824 United States San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Instituto de Astronomía y Física del Espacio [IAFE CONICET-UBA Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Universidad Tecnológica Nacional Facultad Regional Mendoza CONICET CNEA Mendoza Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM and CONICET Campus Miguelete – San Martín Buenos Aires Argentina Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional – Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Gra

The surface detector (SD) of the Pierre Auger Observatory, consisting of 1660 water-Cherenkov detectors (WCDs), covers 3000 km2 in the Argentinian pampa. Thanks to the high efficiency of WCDs in detecting gamma rays, it represents a unique instrument for studying downward Terrestrial Gamma-ray Flashes (TGFs) over a large area. Peculiar events, likely related to downward TGFs, were detected at the Auger Observatory. Their experimental signature and time evolution are very different from those of a shower produced by an ultrahigh-energy cosmic ray. They happen in coincidence with low thunderclouds and lightning, and their large deposited energy at the ground is compatible with that of a standard downward TGF with the source a few kilometers above the ground. A new trigger algorithm to increase the TGF-like event statistics was installed in the whole array. The study of the performance of the new trigger system during the lightning season is ongoing and will provide a handle to develop improved algorithms to implement in the Auger upgraded electronic boards. The available data sample, even if small, can give important clues about the TGF production models, in particular, the shape of WCD signals. Moreover, the SD allows us to observe more than one point in the TGF beam, providing information on the emission angle. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Long-term calibration and stability of the Auger Engineering Radio Array using the diffuse Galactic radio emission 38

Long-term calibration and stability of the Auger Engineering...

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38th international Cosmic Ray conference, ICRC 2023

作者： de Almeida, R.M. Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Universidade Federal Fluminense Av. dos Trabalhadores 424 Volta Redonda Brazil Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Instituto de Astronomía y Física del Espacio IAFE CONICET-UBA Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Universidad Tecnológica Nacional Facultad Regional Mendoza CONICET CNEA Mendoza Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM CONICET Campus Miguelete – San Martín Buenos Aires Argentina Laboratorio Atmósfera Departamento de Investigaciones en Láseres y sus Aplicaciones UNIDEF CITEDEFCONICET Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil U

The Auger Engineering Radio Array (AERA), part of the Pierre Auger Observatory, is currently the largest facility to measure radio emissions from ultra-high energy extensive air showers. It comprises 153 autonomous radio-detector stations, covering an area of 17 km2, and measures radio waves in the frequency range from 30 to 80 MHz. An accurate description of the detector response is necessary to interpret the data collected by the stations correctly. Previously, this was achieved by measuring the analog chain in the laboratory and simulating and measuring the directional response of the antenna. In this work, we perform an absolute calibration using the continuously monitored sidereal modulation of the diffuse Galactic radio emission. The calibration is performed by comparing the average spectra recorded by the stations with a model of the full radio sky propagated through the system response, including the antenna, filters, and amplifiers. We describe the method to determine the calibration constants for each antenna and present the corresponding results. Furthermore, the behavior of the calibration constants is studied as a function of time. There is no relevant aging effect over a timescale of a decade, which shows that radio detectors could help monitor possible aging effects of other detector systems during long-term operations, stressing their importance in determining an absolute energy scale. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Photons

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The performances of the upgraded surface detector stations of AugerPrime 38

The performances of the upgraded surface detector stations o...

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38th international Cosmic Ray conference, ICRC 2023

作者： Convenga, Fabio Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Gongora, J.P. Università dell’Aquila Italy INFN Laboratori Nazionali del Gran Sasso Assergi L’Aquila Italy Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina Centro Atómico Bariloche Instituto Balseiro CNEA-UNCuyo-CONICET San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina CONICET-UBA Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Universidad Tecnológica Nacional Facultad Regional Mendoza CONICET CNEA Mendoza Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM CONICET Campus Miguelete – San Martín Buenos Aires Argentina Laboratorio Atmósfera Departamento de Investigaciones en Láseres y sus Aplicaciones UNIDEF CITEDEFCONICET Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do

The surface detector of the Pierre Auger Observatory is an array of 1,600 stations using a water Cherenkov detector (WCD) for particle detection. The array is undergoing a major upgrade known as AugerPrime that involves adding scintillator surface detectors (SSDs) and radio antennas to the existing WCDs. Each WCD is also equipped with a smaller photomultiplier tube added to the original ones. As part of the upgrade, underground muon detectors are being installed in an area with a higher density of surface detector stations. AugerPrime required the development of new electronics to process the signals from all the new detectors and handle a higher sampling rate, a more precise GPS receiver, an extended dynamic range, higher processing capacity, and improved monitoring systems and memory. The deployment of the SSDs on top of each surface detector station is currently completed together with the deployment of the new electronics. This contribution will present the first data from the upgraded stations, emphasizing the performances of the SSDs and the new electronics. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmic ray detectors

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Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization

Erasing Integrated Learning: A Simple Yet Effective Approach...

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conference on Computer Vision and Pattern Recognition (CVPR)

作者： Jinjie Mai Meng Yang Wenfeng Luo School of Data and Computer Science Sun Yat-sen University The Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Sun Yat-sen University

ISBN: (数字)9781728171685

ISBN: (纸本)9781728171692

Weakly supervised object localization (WSOL) aims to localize object with only weak supervision like image-level labels. However, a long-standing problem for available techniques based on the classification network is that they often result in highlighting the most discriminative parts rather than the entire extent of object. Nevertheless, trying to explore the integral extent of the object could degrade the performance of image classification on the contrary. To remedy this, we propose a simple yet powerful approach by introducing a novel adversarial erasing technique, erasing integrated learning (EIL). By integrating discriminative region mining and adversarial erasing in a single forward-backward propagation in a vanilla CNN, the proposed EIL explores the high response class-specific area and the less discriminative region simultaneously, thus could maintain high performance in classification and jointly discover the full extent of the object. Furthermore, we apply multiple EIL (MEIL) modules at different levels of the network in a sequential manner, which for the first time integrates semantic features of multiple levels and multiple scales through adversarial erasing learning. In particular, the proposed EIL and advanced MEIL both achieve a new state-of-the-art performance in CUB-200-2011 and ILSVRC 2016 benchmark, making significant improvement in localization while advancing high performance in image classification.

关键词： Training Visualization Classification algorithms Computer vision Supervised learning Task analysis Semantics

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Social Media Reputation and Political Popularity: Study of a Moroccan Case

Social Media Reputation and Political Popularity: Study of a...

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Intelligent Systems and advanced computing Sciences (ISACS),international conference on

作者： Khalid Ait Hadi Rafik Lasri Abdellatif El Abderrahmani Polydisciplinary Faculty of Larache Abdelmalek Essaadi University Morocco

ISBN: (数字)9781728148137

ISBN: (纸本)9781728148144

Popularity is one of the key reasons for the electoral success of a politician and his party. Discovering the reasons behind a political notoriety leads inevitably to the constitution of a stable and perennial political class. The present work seeks to measure, using a mixed method, the Facebook trust ratings of a political figure in Morocco, taking advantage of the huge amounts of information that big data are overflowing with, especially data arisen from social networking services, which have recently become a promising opportunity and an ingenious tool for extracting and exploring public opinion. This research has collected and examined 6 million of posts and comments about the head of Moroccan government in 2016. This study sought to identify the key reasons behind the Facebook popularity of this politician and his party. This contribution is intended to be multidisciplinary, both useful for policymakers, data mining experts and opinion analysts to explore public trends and inclinations.

关键词： Facebook Voting data mining Twitter Welding Tools

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