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作者： Bai, Er-Wei Heifetz, Alexander Raptis, Paul Dasgupta, Soura Mudumbai, Raghuraman Department of Electrical and Computer Engineering University of Iowa Iowa CityIA52242 United States School of Electronics Electrical Engineering and Computer Science Queen's University Belfast United Kingdom Nuclear Engineering Division Argonne National Laboratory LemontIL60439 United States

This paper considers the use of maximum likelihood estimation to localize a stationary source from total gamma ray counts, in an open area setting with a highly fluctuating background. As this turns out to be a highly nonconcave maximization, convergence rates of global convergent algorithms, such as simulated annealing, can be very slow and iterative algorithms such an Newton's method for maximization can be captured by local maxima while fast. Thus, the selection of the initial estimate is critical to how well they perform. This paper proposes a way to generate such an initial estimate using an averaging process that is shown to be asymptotically convergent to the maximum likelihood source estimate. This ensures that with a sufficiently large number of samples, the initial estimate is indeed within of the basin of attraction of such iterative algorithms. Analytical results are supported by numerical simulations based on a measured background data and synthetically injected source data. © 1963-2012 IEEE.

关键词： Maximum likelihood estimation

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Blackbody metamaterial lasers

Blackbody metamaterial lasers

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European Quantum Electronics Conference, EQEC 2015

作者： Liu, C. Huang, J. Masala, S. Alarousu, E. Han, Y. Fratalocchi, A. PRIMALIGHT Faculty of Electrical Engineering Applied Mathematics and Computational Science King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Advanced Membranes and Porous Materials Center Division of Physical Sciences and Engineering King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Solar and Photovoltaics Engineering Research Center Division of Physical Sciences and Engineering King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

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Erratum to: Search for diboson resonances in hadronic final states in 139 fb−1 of pp collisions at = 13 TeV with the ATLAS detector

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Journal of High Energy Physics 2020年第6期2020卷 1-19页

作者： Aad, G. Abbott, B. Abbott, D. C. Abdinov, O. Abed Abud, A. Abeling, K. Abhayasinghe, D. K. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B. S. Achkar, B. Adachi, S. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adersberger, M. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Al Khoury, K. Alberghi, G. L. Albert, J. Alconada Verzini, M. J. Alderweireldt, S. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexandre, D. Alexopoulos, T. Alfonsi, A. Alhroob, M. Ali, B. Alimonti, G. Alison, J. Alkire, S. P. Allaire, C. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alvarez Estevez, M. Álvarez Piqueras, D. Alviggi, M. G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amrouche, C. S. An, F. Anastopoulos, C. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antonelli, M. Antrim, D. J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aperio Bella, L. Arabidze, G. Araque, J. P. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armitage, L. J. Armstrong, A. Arnaez, O. Arnold, H. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Augsten, K. Avolio, G. Avramidou, R. Ayoub, M. K. Azoulay, A. M. Azuelos, G. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bajic, M. Bakalis, C. Baker, O. K. Bakker, P. J. Bakshi Gupta, D. Balaji, S. Baldin, E. M. Balek, P. Balli, F. CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Department of Physics University of Massachusetts Amherst United States of America Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan INFN Sezione di Pavia Pavia Italy Dipartimento di Fisica Università di Pavia Pavia Italy II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne United States of America INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics University of Tokyo Tokyo Japan Institut für Physik Universität Mainz Mainz Germany LAL Université Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Bogazici University Istanbul Turkey Istanbul University Dept. of Physics Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cr

A mistake was identified for the paper [1] in the treatment of the radion [2] cross-sections, which resulted in multiple changes.

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Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG

arXiv

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arXiv 2017年

作者： Krishnaswamy, Pavitra Obregon-Henao, Gabriel Ahveninen, Jyrki Khan, Sheraz Babadi, Behtash Iglesias, Juan Eugenio Hamalainen, Matti S. Purdon, Patrick L. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital CharlestownMA02129 United States Harvard-MIT Division of Health Sciences and Technology CambridgeMA02139 United States Institute for Infocomm Research A*STAR Singapore138632 Singapore Department of Neurology Massachusetts General Hospital CharlestownMA02129 United States Harvard Medical School BostonMA02115 United States Department of Electrical & Computer Engineering University of Maryland College ParkMD20742 United States Department of Neuroscience and Biomedical Engineering Aalto University School of Science Espoo02150 Finland NatMEG Department of Clinical Neuroscience Karolinska Institute Stockholm17177 Sweden Department of Anesthesia Critical Care and Pain Medicine Massachusetts General Hospital BostonMA02114 United States

Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can be recorded non-invasively using magnetoencephalography (MEG) and electroencephalography (EEG). However, these subcortical signals are much weaker than those due to cortical activity. In addition, we show here that it is difficult to resolve subcortical sources, because distributed cortical activity can explain the MEG and EEG patterns due to deep sources. We then demonstrate that if the cortical activity can be assumed to be spatially sparse, both cortical and subcortical sources can be resolved with M/EEG. Building on this insight, we develop a novel hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our analysis and method suggest new opportunities and offer practical tools for characterizing electrophysiological activity in the subcortical structures of the human *** Codes 62-07, 15A29 (Primary), and 62P10, 92-08, 68W01 (Secondary) Copyright © 2017, The Authors. All rights reserved.

关键词： Brain mapping

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Truthfulness flooded domains and the power of verification for mechanism design

Truthfulness flooded domains and the power of verification f...

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作者： Fotakis, Dimitris Zampetakis, Emmanouil Division of Computer Science School of Electrical and Computer Engineering National Technical University of Athens Athens15780 Greece Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology CambridgeMA02139 United States

In this work, we investigate the reasons that make symmetric partial verification essentially useless in virtually all domains. Departing from previous work, we consider any possible (finite or infinite) domain and general symmetric verification. We identify a natural property, namely, that the correspondence graph of a symmetric verification M is strongly connected by finite paths along which the preferences are consistent with the preferences at the endpoints, and prove that this property is sufficient for the equivalence of truthfulness and M-truthfulness. In fact, defining appropriate versions of this property, we obtain this result for deterministic and randomized mechanisms with and without money. Moreover, we show that a slightly relaxed version of this property is also necessary for the equivalence of truthfulness and M-truthfulness. Our conditions provide a generic and convenient way of checking whether truthful implementation can take advantage of any symmetric verification scheme in any (finite or infinite) domain. Since the simplest symmetric verification is the local verification, specific cases of our result are closely related, in the case without money, to the research about the equivalence of local truthfulness and global truthfulness. To complete the picture, we consider asymmetric verification and prove that a social choice function is M-truthfully implementable by some asymmetric verification M if and only if f does not admit a cycle of profitable deviations.

关键词： Machine design

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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Short-term variation in the galactic cosmic ray intensity measured with the PAMELA experiment 35

Short-term variation in the galactic cosmic ray intensity me...

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35th International Cosmic Ray Conference, ICRC 2017

作者： Munini, Riccardo Di Felice, Valeria Boezio, M. Adriani, O. Barbarino, G.C. Bazilevskaya, G.A. Bellotti, R. Bogomolov, E.A. Bongi, M. Bonvicini, V. Bottai, S. Bruno, A. Cafagna, F. Campana, D. Carlson, P. Casolino, M. Castellini, G. De Donato, C. De Santis, C. Galper, A.M. Karelin, A.V. Koldashov, S.V. Koldobskiy, S. Krutkov, S.Y. Kvashnin, A.N. Leonov, A. Malakhov, V. Marcelli, L. Martucci, M. Mayorov, A.G. Menn, W. Merge, M. Mikhailov, V.V. Mocchiutti, E. Monaco, A. Mori, N. Osteria, G. Panico, B. Papini, P. Pearce, M. Picozza, P. Ricci, M. Ricciarini, S.B. Simon, M. Sparvoli, R. Spillantini, P. Stozhkov, Y.I. Vacchi, A. Vannuccini, E. Vasilyev, G. Voronov, S.A. Yurkin, Y.T. Zampa, G. Zampa, N. Potgieter, M.S. Christian, E.C. De Nolfo, G.A. Richardson, I. Ryan, J.M. Stochaj, S. INFN Sezione di Trieste TriesteI-34149 Italy INFN Sezione di Rome Tor Vergata RomeI-00133 Italy Science Data Center FrascatiI-00044 Italy University of Florence Department of Physics Sesto Fiorentino FlorenceI-50019 Italy INFN - Sezione di Florence Sesto Fiorentino FlorenceI-50019 Italy University of Naples Federico II Department of Physics NaplesI-80126 Italy INFN - Sezione di Naples NaplesI-80126 Italy Lebedev Physical Institute MoscowRU-119991 Russia University of Bari Department of Physics BariI-70126 Italy INFN Sezione di Bari BariI-70126 Italy Ioffe Physical Technical Institute St. PetersburgRU-194021 Russia KTH Department of Physics Oskar Klein Centre for Cosmoparticle Physics AlbaNova University Centre StockholmSE-10691 Sweden University of Rome Tor Vergata Department of Physics RomeI-00133 Italy RIKEN Advanced Science Institute Wako-shi Saitama Japan IFAC Sesto Fiorentino FlorenceI-50019 Italy National Research Nuclear University MEPhI MoscowRU-115409 Russia INFN Laboratori Nazionali di Frascati Via Enrico Fermi 40 FrascatiI-00044 Italy Universität Siegen Department of Physics SiegenD-57068 Germany University of Udine Department of Mathematics and Informatics UdineI-33100 Italy North-West University Centre for Space Research Potchefstroom2520 South Africa Heliophysics Division NASA Goddard Space Flight Ctr. GreenbeltMD United States GPHI Department of Astronomy University of Maryland College Park United States Space Science Center University of New Hampshire DurhamNH United States Electrical and Computer Engineering New Mexico State University Las CrucesNM United States

New results on the galactic cosmic ray (GCR) short-term intensity variation associated with Forbush decrease and co-rotating interaction regions (CIRs) measured by the PAMELA instrument between November 2006 and March 2007 are presented. Most of the past measurements on Forbush decrease events were carried out with neutron monitor detector. This tecnique allows only indirect detection of the overall GCR intensity over an integrated energy range. For the first time, thanks to the unique features of the PAMELA magnetic spectrometer, the Forbush decrease associated with the December 13th coronal mass ejection (CME) was studied in a wide rigidity range (0.4 - 20 GV) and for different species of GCRs detected directly in space. Using GCR protons, the amplitude and the recovery time of the Forbush decrease were studied for ten rigidity interval with a temporal resolution of one day. For comparison the helium and the electron intensity over time were also studied. The temporal evolution of the helium and proton intensity was found in good agreement while the electrons show, on average, a faster recovery time. This was interpreted as a charge-sign dependence introduced by drift motion experienced by the low rigidity ( © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Rigidity

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Experimental Verification of Deadbeat Control for Unified Power Flow Controller

Experimental Verification of Deadbeat Control for Unified Po...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Shin-ichiHamasaki Tsuyoshi Takaki Shinya Miyazaki MineoTsuji Division of Electrical Engineering and Computer Science Nagasaki University

ISBN: (纸本)9781479917631

Flexible AC Transmission System (FACTS) component is available to manage a number of varied situations of the power line. The Unifier Power Flow Controller (UPFC) as one of the FACTS is used in order to keep conditions of the power line. The UPFC consists of two inverters. One is connected in parallel to the power line, the other is connected in series. In parallel side, the reactive power can be compensated to improve the power factor. In series side, the voltage drop can be compensated to maintain proper line voltage. In these operations, the deadbeat control is applied for advantages of quick and accurate response. A principle of the control method and experimental results are presented to verify the effectiveness of the UPFC.

关键词： Powerflow controller Deadbeat control Reactive power compensation Voltage drop compensation reactive compensation unified power flow controller flexible AC transmission systems dead-beat Reactive power Power cables Line voltage Control Methods demand regulator voltage sags

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Measurement of ϒ(1S) Elliptic Flow at Forward Rapidity in Pb-Pb Collisions at sNN=5.02 TeV

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physical Review Letters 2019年第19期123卷 192301-192301页

作者： S. Acharya D. Adamová S. P. Adhya A. Adler J. Adolfsson M. M. Aggarwal G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn A. Akindinov M. Al-Turany S. N. Alam D. S. D. Albuquerque D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali Y. Ali A. Alici A. Alkin J. Alme T. Alt L. Altenkamper I. Altsybeev M. N. Anaam C. Andrei D. Andreou H. A. Andrews A. Andronic M. Angeletti V. Anguelov C. Anson T. Antičić F. Antinori P. Antonioli R. Anwar N. Apadula L. Aphecetche H. Appelshäuser S. Arcelli R. Arnaldi M. Arratia I. C. Arsene M. Arslandok A. Augustinus R. Averbeck S. Aziz M. D. Azmi A. Badalà Y. W. Baek S. Bagnasco X. Bai R. Bailhache R. Bala A. Baldisseri M. Ball S. Balouza R. C. Baral R. Barbera L. Barioglio G. G. Barnaföldi L. S. Barnby V. Barret P. Bartalini K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne B. Batyunya P. C. Batzing D. Bauri J. L. Bazo Alba I. G. Bearden C. Bedda N. K. Behera I. Belikov F. Bellini R. Bellwied V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov D. Berenyi R. A. Bertens D. Berzano M. G. Besoiu L. Betev A. Bhasin I. R. Bhat M. A. Bhat H. Bhatt B. Bhattacharjee A. Bianchi L. Bianchi N. Bianchi J. Bielčík J. Bielčíková A. Bilandzic G. Biro R. Biswas S. Biswas J. T. Blair D. Blau C. Blume G. Boca F. Bock A. Bogdanov L. Boldizsár A. Bolozdynya M. Bombara G. Bonomi H. Borel A. Borissov M. Borri H. Bossi E. Botta L. Bratrud P. Braun-Munzinger M. Bregant T. A. Broker M. Broz E. J. Brucken E. Bruna G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler P. Buncic Z. Buthelezi J. B. Butt J. T. Buxton S. A. Bysiak D. Caffarri A. Caliva E. Calvo Villar R. S. Camacho P. Camerini A. A. Capon F. Carnesecchi R. Caron J. Castillo Castellanos A. J. Castro E. A. R. Casula F. Catalano C. Ceballos Sanchez P. Chakraborty S. Chandra B. Chang W. Chang S. Chapeland M. Chartier S. Chattopadhyay A. Chauvin C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato S. Cho P. Chochula T. Chowdhury P. Christakoglou C. H. Christensen P. Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Nuclear Physics Institute of the Czech Academy of Sciences Řež u Prahy Czech Republic Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Frankfurt Germany Lund University Department of Physics Division of Particle Physics Lund Sweden Physics Department Panjab University Chandigarh India European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy Centro Fermi—Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi’ Rome Italy Indian Institute of Technology Bombay (IIT) Mumbai India INFN Sezione di Bologna Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea NRC «Kurchatov Institute»—ITEP Moscow Russia Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Bari Italy Universidade Estadual de Campinas (UNICAMP) Campinas Brazil National Research Centre Kurchatov Institute Moscow Russia INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico COMSATS University Islamabad Islamabad Pakistan Dipartimento di Fisica e Astronomia dell’Università Bologna Italy Sezione INFN Bologna Italy Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Department of Physics and Technology University of Bergen Bergen Norway Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany St. Petersburg State University St. Petersburg Russia Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania School of Physics and Astronomy University of Birmingham Birmingham United Kingdom Westfälische Wilhelms-Universität Müns

The first measurement of the ϒ(1S) elliptic flow coefficient (v2) is performed at forward rapidity (2.5<y<4) in Pb–Pb collisions at sNN=5.02 TeV with the ALICE detector at the LHC. The results are obtained wit... 详细信息

The first measurement of the ϒ(1S) elliptic flow coefficient (v2) is performed at forward rapidity (2.5

关键词： Nuclear reactions

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Deadbeat Control of Bidirectional Buck/boost DC-DC Converter for Power Leveling System with EDLC

Deadbeat Control of Bidirectional Buck/boost DC-DC Converter...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Shin-ichi Hamasaki Yoshihiro Yano Hirotaka Fukuda Mineo Tsuji Division of Electrical Engineering and Computer Science Nagasaki University

ISBN: (纸本)9781479917631

Distributed generation is violent fluctuations because it depends on output of the clean energy generation system. Thus a power leveling system (PLS) is applied to maintain a balance between power supply and such an irregular power generation. The PLS is required to operate charge or discharge of storage and bidirectional power flow. Thus the PLS consists of a bidirectional buck/boost DC/DC converter. In this study, the bidirectional buck/boost DC/DC converter and double electric layer capacitor (EDLC) are applied to the PLS. The PLS with EDLC is expected to be able to absorb change of power quickly and long operation life according to EDLC characteristic. The output current of PLS is controlled in order to keep power balance and DC bus voltage. PLS should operate power leveling quickly for instantaneous fluctuation of power generation system. In this research, Control of the DC/DC Converter applying to deadbeat (DB) control based on linearization is proposed to obtain quick response. It is examined whether the stable power supply by the proposed system is possible in experiment. The effectiveness of DB control for PLS is proved in simulation and experiment in typical situations.

关键词： Power leveling Bidirectional DC/DC converter EDLC Deadbeat control

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