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Versatile tape-drive target for high-repetition-rate laser-driven proton acceleration

High Power Laser science and Engineering 2023年第4期11卷 59-69页

作者： N.Xu M.J.V.Streeter O.C.Ettlinger H.Ahmed S.Astbury M.Borghesi N.Bourgeois C.B.Curry S.J.D.Dann N.P.Dover T.Dzelzainis V.Istokskaia M.Gauthier L.Giuffrida G.D.Glenn S.H.Glenzer R.J.Gray J.S.Green G.S.Hicks C.Hyland M.King B.Loughran D.Margarone O.McCusker P.McKenna C.Parisuaña P.Parsons C.Spindloe D.R.Symes F.Treffert C.A.J.Palmer Z.Najmudin John Adams Institute for Accelerator Science Blackett LaboratoryImperial College LondonLondonUK School of Maths and Physics Queen’s University BelfastBelfastUK Central Laser Facility STFC Rutherford Appleton LaboratoryDidcotUK SLAC National Accelerator Laboratory Menlo ParkUSA ELI Beamlines Centre Institute of PhysicsCASDolni BrezanyCzech Republic Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in PraguePragueCzech Republic Department of Physics SUPAUniversity of StrathclydeGlasgowUK Department of Mechanical Engineering Stanford UniversityStanfordUSA Department of Applied Physics Stanford UniversityStanfordUSA Department of Electrical and Computer Engineering University of AlbertaEdmontonCanada Institut für Kernphysik Technische Universität DarmstadtDarmstadtGermany

We present the development and characterization of a high-stability,multi-material,multi-thickness tape-drive target for laser-driven acceleration at repetition rates of up to 100 *** tape surface position was measured to be stable on the sub-micrometre scale,compatible with the high-numerical aperture focusing geometries required to achieve relativistic intensity interactions with the pulse energy available in current multi-Hz and near-future higher repetition-rate lasers(>kHz).Long-term drift was characterized at 100 Hz demonstrating suitability for operation over extended *** target was continuously operated at up to 5 Hz in a recent experiment for 70,000 shots without intervention by the experimental team,with the exception of tape replacement,producing the largest data-set of relativistically intense laser–solid foil measurements to *** tape drive provides robust targetry for the generation and study of high-repetitionrate ion beams using next-generation high-power laser systems,also enabling wider applications of laser-driven proton sources.

关键词： high-repetition-rate laser target laser-plasma acceleration proton generation tape-drive target

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A framework for online investment algorithms

arXiv

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arXiv 2020年

作者： Paskaramoorthy, A.B. van Zyl, T.L. Gebbie, T.J. Computer Science and Applied Maths University of Witwatersrand Johannesburg South Africa Wits Institute of Data Science University of Witwatersrand Johannesburg South Africa Department of Statistical Science University of Cape Town Cape Town South Africa

The artificial segmentation of an investment management process into a workflow with silos of offline human operators can restrict silos from collectively and adaptively pursuing a unified optimal investment goal. To meet the investor objectives, an online algorithm can provide an explicit incremental approach that makes sequential updates as data arrives at the process level. This is in stark contrast to offline (or batch) processes that are focused on making component level decisions prior to process level integration. Here we present and report results for an integrated, and online framework for algorithmic portfolio management. This article provides a workflow that can in-turn be embedded into a process-level learning framework. The workflow can be enhanced to refine signal generation and asset class evolution and definitions. Our results confirm that we can use our framework in conjunction with resampling methods to outperform naive market capitalisation benchmarks while making clear the extent of back-test over-fitting. We consider such an online update framework to be a crucial step towards developing intelligent portfolio selection algorithms that integrate financial theory, investor views, and data analysis with process level learning. Copyright © 2020, The Authors. All rights reserved.

关键词： Investments

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Reinforcement Learning-Based Integrated Risk Aware Dynamic Treatment Strategy for Consumer-Centric Next-Gen Healthcare

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IEEE Transactions on Consumer Electronics 2025年

作者： Nimma, Divya Rao, Pinapati Lakshmana Ramesh, Janjhyam Venkata Naga Dahan, Fadl Reddy, Desidi Narsimha Selvakumar, Venkatachalam Ilkhamova, Yodgorkhon Jangir, Pradeep UMMC United States Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Guntur Vaddeswaram522302 India Graphic Era Hill University Department of CSE Dehradun248002 India Graphic Era Deemed To Be University Department of CSE Uttarakhand Dehradun248002 India Prince Sattam Bin Abdulaziz University Department of Management Information Systems College of Business Administration Hawtat Bani Tamim Al-Kharj11942 Saudi Arabia Soniks consulting LLC Soniks consulting Data Consultant Telangana E park blvd India Bhavan’s Vivekananda College of Science Humanities and Commerce Department of Maths and Statistics Telangana Hyderabad India Tashkent State University of Economics Department of Digital Economy Tashkent Uzbekistan Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Biosciences Chennai602 105 India Al-Ahliyya Amman University Hourani Center for Applied Scientific Research Amman19328 Jordan

Reinforcement learning (RL) has gained prominence in healthcare due to its ability to optimize treatment strategies without relying on predefined mathematical models. However, existing approaches face critical challenges: (1) the optimality of learned strategies is assessed without considering treatment risks, potentially leading to unsafe recommendations;(2) distribution shift issues cause learned strategies to diverge from physician decisions;and (3) past observational data and treatment history are often overlooked, leading to suboptimal state representations. To address these limitations, we propose a Dynamic Treatment Strategy Generation Model that integrates Dead Ends with an Offline Supervised Actor-Critic approach (DOSAC-DTR). Our model incorporates Dead Ends into the Actor-Critic framework to evaluate risks associated with recommended treatments. Additionally, physician oversight is embedded to mitigate distribution shift and align the learned strategy with expert decisions while maximizing expected outcomes. To enhance state representation, we employ an LSTM-based encoder-decoder model to capture essential patient history, ensuring robust decision-making. Experimental results on real-world datasets (MIMIC-III) demonstrate that DOSAC-DTR significantly reduces mortality rates (Sepsis: 3.51%, Ventilation: 13.74%) and improves treatment alignment with physicians (Jaccard similarity: 0.362, 0.126) compared to baseline models. These findings underscore the potential of reinforcement learning in personalized healthcare, improving both treatment efficacy and patient safety. © 1975-2011 IEEE.

关键词： Risk assessment

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Photonic gas sensors exploiting directly the optical properties of hybrid carbon nanotube localized surface plasmon structures

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Light(science & Applications) 2016年第1期5卷 624-631页

作者： Thomas Allsop Raz Arif Ron Neal Kyriacos Kalli Vojtěch Kundrát Aleksey Rozhin Phil Culverhouse David J Webb Aston Institute of Photonic Technologies School of Engineering and Applied ScienceAston UniversityAston TriangleBirmingham B47ETUK Nanoscience Research Group School of Engineering and Applied ScienceAston UniversityAston TriangleBirmingham B47ETUK Physics Department Faculty of ScienceUniversity of SulaimaniSulaimaniIraq-Kurdistan Region Faculty of Science and Technology School of MathsComputing and RoboticsUniversity of PlymouthPlymouth PL48AAUK Department of Electrical Engineering Computer Engineering and InformaticsCyprus University of TechnologyLimassol 3036Cyprus

Weinvestigate the modification of the optical properties of carbon nanotubes(CNTs)resulting from a chemical reaction triggered by the presence of a specific compound(gaseous carbon dioxide(CO_(2)))and show this mechanism has important consequences for chemical *** have attracted significant research interest because they can be functionalized for a particular chemical,yielding a specific physical response which suggests many potential applications in the fields of nanotechnology and *** far,however,utilizing their optical properties for this purpose has proven to be *** demonstrate the use of localized surface plasmons generated on a nanostructured thin film,resembling a large array of nano-wires,to detect changes in the optical properties of the *** selectivity is demonstrated using CO_(2) in gaseous form at room *** demonstrated methodology results additionally in a new,electrically passive,optical sensing configuration that opens up the possibilities of using CNTs as sensors in hazardous/explosive environments.

关键词： carbon nanotubes gas sensors localized surface plasmons optical sensing

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The Hydrogen Intensity and Real-time Analysis eXperiment: 256-Element Array Status and Overview

arXiv

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arXiv 2021年

作者： Crichton, Devin Aich, Moumita Amara, Adam Bandura, Kevin Bassett, Bruce A. Bengaly, Carlos Berner, Pascale Bhatporia, Shruti Bucher, Martin Chang, Tzu-Ching Chiang, H. Cynthia Cliche, Jean-Francois Crichton, Carolyn Dave, Romeel De Villiers, Dirk I.L. Dobbs, Matt Ewall-Wice, Aaron M. Eyono, Scott Finlay, Christopher Gaddam, Sindhu Ganga, Ken Gayley, Kevin G. Gerodias, Kit Gibbon, Tim B. Gumba, Austine Gupta, Neeraj Harris, Maile Heilgendorff, Heiko Hilton, Matt Hincks, Adam D. Hitz, Pascal Jalilvand, Mona Julie, Roufurd P.M. Kader, Zahra Kania, Joseph Karagiannis, Dionysios Karastergiou, Aris Kesebonye, Kabelo Kittiwisit, Piyanat Kneib, Jean-Paul Knowles, Kenda Kuhn, Emily R. Kunz, Martin Maartens, Roy MacKay, Vincent MacPherson, Stuart Monstein, Christian Moodley, Kavilan Mugundhan, V. Naidoo, Warren Naidu, Arun Newburgh, Laura B. Nistane, Viraj Di Nitto, Amanda Ölçek, Deniz Pan, Xinyu Paul, Sourabh Peterson, Jeffrey B. Pieters, Elizabeth Pieterse, Carla Pillay, Aritha Polish, Anna R. Randrianjanahary, Liantsoa Refregier, Alexandre Renard, Andre Retana-Montenegro, Edwin Rout, Ian H. Russeeawon, Cyndie Sadr, Alireza Vafaei Saliwanchik, Benjamin R.B. Sampath, Ajith Sanghavi, Pranav Santos, Mario G. Sengate, Onkabetse Shaw, J. Richard Sievers, Jonathan L. Smirnov, Oleg M. Smith, Kendrick M. Sob, Ulrich Armel Mbou Srianand, Raghunathan Stronkhorst, Pieter Sunder, Dhaneshwar D. Tartakovsky, Simon Taylor, Russ Timbie, Peter Tolley, Emma E. Townsend, Junaid Tyndall, Will Ungerer, Cornelius van Dyk, Jacques van Vuuren, Gary Vanderlinde, Keith Viant, Thierry Walters, Anthony Wang, Jingying Weltman, Amanda Woudt, Patrick Wulf, Dallas Zavyalov, Anatoly Zhang, Zheng Institute for Particle Physics and Astrophysics ETH Zürich Zürich Switzerland School of Mathematics Statistics & Computer Science University of KwaZulu-Natal Durban South Africa Astrophysics Research Centre University of KwaZulu-Natal Westville Campus Durban4000 South Africa Institute of Cosmology & Gravitation University of Portsmouth Dennis Sciama Building Burnaby Road PortsmouthPO1 3FX United Kingdom LCSEE West Virginia University MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University MorgantownWV26505 United States African Institute for Mathematical Sciences 6 Melrose Road Muizenberg 7945 South Africa Department of Maths and Applied Maths University of Cape Town Rondebosch Cape Town7700 South Africa South African Astronomical Observatory Observatory Cape Town7925 South Africa Département de Physique Théorique Université de Genève Genéve 4 1211 Switzerland Observatório Nacional RJ Rio de Janeiro20921-400 Brazil High Energy Physics Cosmology & Astrophysics Theory Group University of Cape Town Cape Town South Africa Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France LPENS Ecole Normale Supérieure Paris75005 France NITheCS Stellenbosch South Africa NASA Jet Propulsion Laboratory Californita Institute of Technology PasadenaCA United States Department of Physics McGill University MontrealQCH3A 2T8 Canada Institute for Astronomy University of Edinburgh Royal Observatory EdinburghEH9 3HJ United Kingdom Department of Physics and Astronomy University of the Western Cape Cape Town7535 South Africa Department of Electrical and Electronic Engineering Stellenbosch University Stellenbosch7600 South Africa Department of Astronomy University of California BerkeleyCA United States Department of Physics University of Wisconsin-Madison MadisonWI53706 United States Centre for Broadband Communication Nelson Mandela Metropolitan University P.O Box 77000 Port Elizabe

The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) is a radio interferometer array currently in development, with an initial 256-element array to be deployed at the South African Radio Astronomy Observatory (SARAO) Square Kilometer Array (SKA) site in South Africa. Each of the 6 m, f/0.23 dishes will be instrumented with dual-polarisation feeds operating over a frequency range of 400-800 MHz. Through intensity mapping of the 21 cm emission line of neutral hydrogen, HIRAX will provide a cosmological survey of the distribution of large-scale structure over the redshift range of 0.775 © 2021, CC BY.

关键词： Interferometers

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The dark energy survey supernova program: Cosmological biases from supernova photometric classification

arXiv

引用

arXiv 2021年

作者： Vincenzi, Maria Sullivan, M. Möller, A. Armstrong, P. Bassett, B.A. Brout, D. Carollo, D. Carr, A. Davis, T.M. Frohmaier, C. Galbany, L. Glazebrook, K. Graur, O. Kelsey, L. Kessler, R. Kovacs, E. Lewis, G.F. Lidman, C. Malik, U. Nichol, R.C. Popovic, B. Sako, M. Scolnic, D. Smith, M. Taylor, G. Tucker, B.E. Wiseman, P. Aguena, M. Allam, S. Annis, J. Asorey, J. Bacon, D. Bertin, E. Brooks, D. Burke, D.L. Rosell, A. Carnero Carretero, J. Castander, F.J. Costanzi, M. da Costa, L.N. Pereira, M.E.S. De Vicente, J. Desai, S. Diehl, H.T. Doel, P. Everett, S. Ferrero, I. Flaugher, B. Fosalba, P. Frieman, J. García-Bellido, J. Gerdes, D.W. Gruen, D. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. James, D.J. Kuehn, K. Kuropatkin, N. Lahav, O. Li, T.S. Lima, M. Maia, M.A.G. Marshall, J.L. Miquel, R. Morgan, R. Ogando, R.L.C. Palmese, A. Paz-Chinchón, F. Pieres, A. Malagón, A.A. Plazas Reil, K. Roodman, A. Sanchez, E. Schubnell, M. Serrano, S. Sevilla-Noarbe, I. Suchyta, E. Tarle, G. To, C. Varga, T.N. Weller, J. Wilkinson, R.D. School of Physics and Astronomy University of Southampton SouthamptonSO17 1BJ United Kingdom Institute of Cosmology and Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom Department of Physics Duke University DurhamNC27708 United States Centre for Astrophysics & Supercomputing Swinburne University of Technology VIC3122 Australia Université Clermont Auvergne CNRS IN2P3 LPC Clermont-FerrandF-63000 France The Research School of Astronomy and Astrophysics Australian National University ACT2601 Australia Madrid Spain African Institute for Mathematical Sciences 6 Melrose Road Muizenberg7945 South Africa Department of Maths and Applied Maths University of Cape Town Cape Town South Africa South African Astronomical Observatory Observatory Cape Town7925 South Africa Center for Astrophysics | Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States NASA Einstein INAF Astrophysical Observatory of Turin Pino TorineseI-10025 Italy School of Mathematics and Physics University of Queensland BrisbaneQLD4072 Australia Barcelona08034 Spain Campus UAB Carrer de Can Magrans s/n Barcelona08193 Spain Department of Astrophysics American Museum of Natural History New YorkNY United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Argonne National Laboratory 9700 South Cass Avenue LemontIL60439 United States Sydney Institute for Astronomy School of Physics A28 The University of Sydney NSW2006 Australia Centre for Gravitational Astrophysics College of Science The Australian National University ACT2601 Australia Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Fermi National Accelerator Laboratory P. O. B

Cosmological analyses of samples of photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects of 'contamination' from core-collapse and peculiar SN Ia events. We employ a rigorous analysis on state-of-the-art simulations of photometrically identified SN Ia samples and determine cosmological biases due to such 'non-Ia' contamination in the Dark Energy Survey (DES) 5-year SN sample. As part of the analysis, we test on our DES simulations the performance of SuperNNova, a photometric SN classifier based on recurrent neural networks. Depending on the choice of non-Ia SN models in both the simulated data sample and training sample, contamination ranges from 0.8-3.5 per cent, with the efficiency of the classification from 97.7-99.5 per cent. Using the Bayesian Estimation applied to Multiple Species (BEAMS) framework and its extension BBC ('BEAMS with Bias Correction'), we produce a redshift-binned Hubble diagram marginalised over contamination and corrected for selection effects and we use it to constrain the dark energy equation-of-state, w. Assuming a flat universe with Gaussian ΩM prior of 0.311 ± 0.010, we show that biases on w are w,syst = 0.004. This compares to an expected statistical uncertainty of σw,stat = 0.039 for the DES-SN sample, thus showing that contamination is not a limiting uncertainty in our analysis. We also measure biases due to contamination on w0 and wa (assuming a flat universe), and find these to be 0 and a, hence 5 to 10 times smaller than the statistical uncertainties expected from the DES-SN sample. Copyright © 2021, The Authors. All rights reserved.

关键词： Surveys

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The MeerKAT international GHz tiered extragalactic exploration (MIGHTEE) survey

arXiv

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arXiv 2017年

作者： Jarvis, Matt J. Taylor, A.R. Agudo, I. Allison, James R. Deane, R.P. Frank, B. Gupta, N. Heywood, I. Maddox, N. McAlpine, K. Santos, Mario G. Scaife, A.M.M. Vaccari, M. Zwart, J.T.L. Adams, E. Bacon, D.J. Baker, A.J. Bassett, Bruce A. Best, P.N. Beswick, R. Blyth, S. Brown, Michael L. Brüggen, M. Cluver, M. Colafranceso, S. Cotter, G. Cress, C. Davé, R. Ferrari, C. Hardcastle, M.J. Hale, C. Harrison, I. Hatfield, P.W. Klöckner, H.-R. Kolwa, S. Malefahlo, E. Marubini, T. Mauch, T. Moodley, K. Morganti, R. Norris, R. Peters, J.A. Prandoni, I. Prescott, M. Oliver, S. Oozeer, N. Röttgering, H.J.A. Seymour, N. Simpson, C. Smirnov, O. Smith, D.J.B. Spekkens, K. Stil, J. Tasse, C. Van Der Heyden, K. Whittam, I.H. WIlliams, W.L. Astrophysics University of Oxford Denys Wilkinson Building Keble Road OxfordOX1 3RH United Kingdom Department of Physics and Astronomy University of the Western Cape Robert Sobukwe Road Bellville7535 South Africa Department of Astronomy University of Cape Town Rondebosch7701 South Africa Inter-University Institute for Data Intensive Astronomy University of Cape Town South Africa Apartado 3004 GranadaE-18080 Spain CSIRO Astronomy and Space Science PO Box 76 EppingNSW1710 Australia Department of Physics & Electronics Rhodes University PO Box 94 Grahamstown6140 South Africa Inter-University Centre for Astronomy and Astrophysics India ASTRON Netherlands Institute for Radio Astronomy Postbus 2 Dwingeloo7990AA Netherlands Square Kilometre Array South Africa Pinelands Cape Town7405 South Africa Jodrell Bank Centre for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road ManchesterM13 9PL United Kingdom INAF Istituto di Radioastronomia via Gobetti 101 Bologna40129 Italy Institute of Cosmology & Gravitation University of Portsmouth Dennis Sciama Building PortsmouthPO1 3FX United Kingdom Department of Physics and Astronomy Rutgers The State University of New Jersey 136 Frelinghuysen Road PiscatawayNJ08854-8019 United States African Institute for Mathematical Sciences 6-8 Melrose Road Muizenberg7945 South Africa Department of Maths and Applied Maths University of Cape Town Cape Town South Africa South African Astronomical Observatory Observatory Cape Town7925 South Africa SUPA Institute for Astronomy Royal Observatory EdinburghEH9 3HJ United Kingdom Hamburger Sternwarte Universität Hamburg Gojenbergsweg 112 HamburgD-21029 Germany School of Physics University of the Witwatersrand Private Bag 3 Johannesburg2050 South Africa CHPC CSIR 15 Lower Hope Rd Rosebank7700 South Africa Laboratoire Lagrange Université Côte d'Azur Observatoire de la Côte d'Azur CNRS Blvd de l'Observatoire CS 34229 Nice Cedex

The MIGHTEE large survey project will survey four of the most well-studied extragalactic deep fields, totalling 20 square degrees to µJy sensitivity at Giga-Hertz frequencies, as well as an ultra-deep image of a single ∼1 deg2 MeerKAT pointing. The observations will provide radio continuum, spectral line and polarisation information. As such, MIGHTEE, along with the excellent multi-wavelength data already available in these deep fields, will allow a range of science to be achieved. Specifically, MIGHTEE is designed to significantly enhance our understanding of, (i) the evolution of AGN and star-formation activity over cosmic time, as a function of stellar mass and environment, free of dust obscuration;(ii) the evolution of neutral hydrogen in the Universe and how this neutral gas eventually turns into stars after moving through the molecular phase, and how efficiently this can fuel AGN activity;(iii) the properties of cosmic magnetic fields and how they evolve in clusters, filaments and galaxies. MIGHTEE will reach similar depth to the planned SKA all-sky survey, and thus will provide a pilot to the cosmology experiments that will be carried out by the SKA over a much larger survey volume. Copyright © 2017, The Authors. All rights reserved.

关键词： Surveys

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The MeerKAT international GHz tiered extragalactic exploration (MIGHTEE) survey

The MeerKAT international GHz tiered extragalactic explorati...

引用

2016 MeerKAT science: On the Pathway to the SKA, MeerKAT 2016

作者： Jarvis, Matt J. Taylor, A.R. Agudo, I. Allison, James R. Deane, R.P. Frank, B. Gupta, N. Heywood, I. Maddox, N. McAlpine, K. Santos, Mario G. Scaife, A.M.M. Vaccari, M. Zwart, J.T.L. Adams, E. Bacon, D.J. Baker, A.J. Bassett, Bruce A. Best, P.N. Beswick, R. Blyth, S. Brown, Michael L. Brüggen, M. Cluver, M. Colafranceso, S. Cotter, G. Cress, C. Davé, R. Ferrari, C. Hardcastle, M.J. Hale, C. Harrison, I. Hatfield, P.W. Klöckner, H.-R. Kolwa, S. Malefahlo, E. Marubini, T. Mauch, T. Moodley, K. Morganti, R. Norris, R. Peters, J.A. Prandoni, I. Prescott, M. Oliver, S. Oozeer, N. Röttgering, H.J.A. Seymour, N. Simpson, C. Smirnov, O. Smith, D.J.B. Spekkens, K. Stil, J. Tasse, C. van der Heyden, K. Whittam, I.H. WIlliams, W.L. Astrophysics University of Oxford Denys Wilkinson Building Keble Road OxfordOX1 3RH United Kingdom Department of Physics and Astronomy University of the Western Cape Robert Sobukwe Road Bellville7535 South Africa Department of Astronomy University of Cape Town Rondebosch7701 South Africa Inter-University Institute for Data Intensive Astronomy University of Cape Town South Africa Apartado 3004 GranadaE-18080 Spain CSIRO Astronomy and Space Science PO Box 76 EppingNSW1710 Australia Department of Physics and Electronics Rhodes University PO Box 94 Grahamstown6140 South Africa Inter-University Centre for Astronomy and Astrophysics India ASTRON Netherlands Institute for Radio Astronomy Postbus 2 Dwingeloo7990AA Netherlands Square Kilometre Array South Africa Pinelands Cape Town7405 South Africa Jodrell Bank Centre for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road ManchesterM13 9PL United Kingdom INAF - Istituto di Radioastronomia via Gobetti 101 Bologna40129 Italy Institute of Cosmology and Gravitation University of Portsmouth Dennis Sciama Building PortsmouthPO1 3FX United Kingdom Department of Physics and Astronomy Rutgers State University of New Jersey 136 Frelinghuysen Road PiscatawayNJ08854-8019 United States African Institute for Mathematical Sciences 6-8 Melrose Road Muizenberg7945 South Africa Department of Maths and Applied Maths University of Cape Town Cape Town South Africa South African Astronomical Observatory Observatory Cape Town7925 South Africa SUPA Institute for Astronomy Royal Observatory EdinburghEH9 3HJ United Kingdom Hamburger Sternwarte Universität Hamburg Gojenbergsweg 112 HamburgD-21029 Germany School of Physics University of the Witwatersrand Private Bag 3 Johannesburg2050 South Africa CHPC CSIR 15 Lower Hope Rd Rosebank7700 South Africa Laboratoire Lagrange Université Côte d’Azur Observatoire de la Côte d’Azur CNRS Blvd de l’Observatoire CS 34229 Nice cedex

关键词： Surveys

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Local search and restart strategies for satisfiability solving in fuzzy logics

Local search and restart strategies for satisfiability solvi...

引用

International Workshop on Genetic and Evolving Systems, GEFS

作者： Tim Brys Madalina M. Drugan Peter A.N. Bosman Martine De Cock Ann Nowé Artificial Intelligence Laboratory VUB Brussels Belgium Centrum Wiskunde & Informatica Amsterdam Netherlands Department of Applied Maths and Computer Science UGent Ghent Belgium

Satisfiability solving in fuzzy logics is a subject that has not been researched much, certainly compared to satisfiability in propositional logics. Yet, fuzzy logics are a powerful tool for modelling complex problems. Recently, we proposed an optimization approach to solving satisfiability in fuzzy logics and compared the standard Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES) with an analytical solver on a set of benchmark problems. Especially on more finegrained problems did CMA-ES compare favourably to the analytical approach. In this paper, we evaluate two types of hillclimber in addition to CMA-ES, as well as restart strategies for these algorithms. Our results show that a population-based hillclimber outperforms CMA-ES on the harder problem class.

关键词： Fuzzy logic Optimization Schedules Sociology Statistics Linear programming Standards

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Near Convex Region Adjacency Graph and Approximate Neighborhood String Matching for Symbol Spotting in Graphical Documents

Near Convex Region Adjacency Graph and Approximate Neighborh...

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International Conference on Document Analysis and Recognition

作者： Anjan Dutta Josep Lladós Horst Bunke Umapada Pal Computer Vision Center Universitat Autònoma de Barcelona Barcelona Spain Institute of Computer Science and Applied Maths University of Bern Bern Switzerland CVPR Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9781479901937

This paper deals with a sub graph matching problem in Region Adjacency Graph (RAG) applied to symbol spotting in graphical documents. RAG is a very important, efficient and natural way of representing graphical information with a graph but this is limited to cases where the information is well defined with perfectly delineated regions. What if the information we are interested in is not confined within well defined regions? This paper addresses this particular problem and solves it by defining near convex grouping of oriented line segments which results in near convex regions. Pure convexity imposes hard constraints and can not handle all the cases efficiently. Hence to solve this problem we have defined a new type of convexity of regions, which allows convex regions to have concavity to some extend. We call this kind of regions Near Convex Regions (NCRs). These NCRs are then used to create the Near Convex Region Adjacency Graph (NCRAG) and with this representation we have formulated the problem of symbol spotting in graphical documents as a sub graph matching problem. For sub graph matching we have used the Approximate Edit Distance Algorithm (AEDA) on the neighborhood string, which starts working after finding a key node in the input or target graph and iteratively identifies similar nodes of the query graph in the neighborhood of the key node. The experiments are performed on artificial, real and distorted datasets.

关键词： Tin Image segmentation Approximation algorithms Robustness computer vision Text analysis

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