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11th German Conference on Chemoinformatics (GCC 2015) Abstracts

JOURNAL OF CHEMINFORMATICS 2016年第SUPPL 1期8卷 1-27页

作者： [Anonymous] GDCh-CIC Division Associated Board Member Beilstein-Institut zur Förderung der Chemischen Wissenschaften Trakehner Str. 7-9 60487 Frankfurt Germany. ufechner@beilstein-institut.de. Division Medicinal Chemistry Amsterdam Institute for Molecules Medicines and Systems (AIMMS) VU University Amsterdam The Netherlands. Centre for Bioinformatics Uni Hamburg Bundesstr. 43 20146 Hamburg Germany. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. stefan.guessregen@***. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. GlaxoSmithKline Stevenage SG1 2NY UK. nicola.j.richmond@***. Discngine Paris 75011 France. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. marwin.segler@wwu.de. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. Bundeskriminalamt Wiesbaden Central Analytics II 65173 Wiesbaden Germany. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. shea@chem.ucsb.edu. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. Chemistry Department Ludwig-Maximilians-Universität München Butenandtstr. 7 81377 Munich Germany. Inorganic Chemistry and Center for Nanointegration University of Duisburg-Essen Essen Germany. CAM-D Technologies Essen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. achim.zielesny@w-hs.de. Leiden University Leiden Netherlands. j.fraaije@chem.leidenuniv.nl. Culgi BV Berlin Germany. Physikalische Chemie III TU Dortmund 44227 Dortmund Germany. stefan.kast@tu-dortmund.de. Centre for Molecular Informatics Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW United Kingdom. kcb27@cam.ac.uk. Centre for Molecular Informatics Department of Chemistry

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Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2

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EUROPEAN PHYSICAL JOURNAL C 2017年第10期77卷 1页

作者： Aaboudd, M. Aad, G. Abbott, B. Abdallah, J. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaitia, Y. Acharya, B. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Akesson, T. P. Akimov, A. V. Alberghia, G. L. Albert, J. Albicocco, P. Verzini, M. J. Alconada Aleksa, M. Aleksandrov, I. N. Alexab, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimontia, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisioa, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. Gonzalez, B. Alvarez Piqueras, D. Alvarez Alviggia, M. G. Amadio, B. T. Coutinhoa, Y. Amaral Amelung, C. Amidei, D. Dos Santosa, S. P. Amor Amorima, A. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Andersb, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andreia, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkovc, A. V. Anjos, N. Annovia, A. Antela, C. Antonelli, M. Antonov, A. Antrim, D. J. Anullia, F. Aoki, M. Bella, L. Aperio Arabidze, G. Arai, Y. Araquea, J. P. Ferraza, V. Araujo Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J. -F. Argyropoulos, S. Arika, M. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalosa, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelosd, G. Baasa, A. E. Baca, M. J. Bachacou, H. Bachasa, K. Backes, M. Backhaus, M. Bagnaiaa, P. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Baldinc, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Banerjeee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberisa, D. Barbero, M. Barillari, T. Barisits, M. -S. Barklow, T. Barlow, N. Barnesc, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessya, Z. Baroncellia, A. Barone, Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK USA Department of Physics The University of Texas at Arlington Arlington TX USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto ON Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA USA Department of Physics and Astronomy University of Sussex Brighton UK 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 Center for High Energy Physics University of Oregon Eugene OR USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan Faculty of Physics and Applied Computer Science AGH University of Science and Technology Krakow Poland Department of Physics Northern Illinois University DeKalb IL USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas-LIP Lisbon Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston MA USA Institut für Kern- und Teilchenphysik Technische Universität Dresden Dresden Germany INFN

With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of highenergy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb(-1) of data collected by the ATLAS experiment and simulation of protonproton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of chargedparticle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, datadriven, method. The method uses the energy loss, dE/ dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, themeasured fraction that fail to be reconstructed is 0.061 +/- 0.006 (stat.) +/- 0.014 (syst.) and 0.093 +/- 0.017 (stat.) +/- 0.021 (syst.) for jet transverse momenta of 200-400GeV and 1400-1600GeV, respectively.

关键词： Charged particles

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Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at s=13 TeV with the ATLAS detector

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Physical Review D 2017年第7期96卷 072002-072002页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos S. H. Abidi O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya S. Adachi L. Adamczyk J. Adelman M. Adersberger T. Adye A. A. Affolder T. Agatonovic-Jovin C. Agheorghiesei J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli S. Akatsuka H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert P. Albicocco M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob B. Ali M. Aliev G. Alimonti J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani A. A. Alshehri M. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi A. Angerami A. V. Anisenkov N. Anjos A. Annovi C. Antel M. Antonelli A. Antonov D. J. Antrim F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque V. Araujo Ferraz A. T. H. Arce R. E. Ardell F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagnaia H. Bahrasemani J. T. Baines M. Bajic O. K. Baker E. M. Baldin P. Balek F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska-Blenessy A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley M. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Department of Physics The University of Texas at Arlington Arlington TX USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto Ontario Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA 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 Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dub

Jet energy scale measurements and their systematic uncertainties are reported for jets measured with the ATLAS detector using proton-proton collision data with a center-of-mass energy of s=13 TeV, corresponding to an integrated luminosity of 3.2 fb−1 collected during 2015 at the LHC. Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells, using the anti-kt algorithm with radius parameter R=0.4. Jets are calibrated with a series of simulation-based corrections and in situ techniques. In situ techniques exploit the transverse momentum balance between a jet and a reference object such as a photon, Z boson, or multijet system for jets with 202000 GeV and pseudorapidities of |η|<4.5, using both data and simulation. An uncertainty in the jet energy scale of less than 1% is found in the central calorimeter region (|η|<1.2) for jets with 10020 GeV in the central region, dominated by uncertainties in the corrections for multiple proton-proton interactions. The calibration of forward jets (|η|>0.8) is derived from dijet pT balance measurements. For jets of pT=80 GeV, the additional uncertainty for the forward jet calibration reaches its largest value of about 2% in the range |η|>3.5 and in a narrow slice of 2.2<|η|<2.4.

关键词： Hadron colliders Particle detectors

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Large eddy simulation of a muffler with the high-order spectral difference method 9

Large eddy simulation of a muffler with the high-order spect...

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9th International Conference on Spectral and High Order Methods, ICOSAHOM 2012

作者： Parsani, Matteo Bilka, Michael Lacor, Chris Computational Aerosciences Branch NASA Langley Research Center HamptonVA23681 United States Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia University of Notre Dame Department of Aerospace and Mechanical Engineering 365 Fitzpatrick Hall Notre DameIN46556-5637 United States Department of Mechanical Engineering Vrije Universiteit Brussel Pleinlaan 2 Brussels1050 Belgium

ISBN: (纸本)9783319016009

The combination of the high-order accurate spectral difference discretization on unstructured grids with subgrid-scale modelling is investigated for large eddy simulation of a muffler at Re = 4:64 104 and M = 0:05. The subgridscale stress tensor is modelled by the wall-adapting local eddy-viscosity model with a cut-off length which is a decreasing function of the order of accuracy of the scheme. Numerical results indicate that even when a fourth-order accurate scheme is used, the coupling with a subgrid-scale model improves the quality of the results. © Springer International Publishing Switzerland 2014.

关键词： Large eddy simulation

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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Computational prediction of pressure environment in the flame trench

Computational prediction of pressure environment in the flam...

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31st AIAA Applied Aerodynamics Conference

作者： Brehm, Christoph Sozer, Emre Moini-Yekta, Shayan Housman, Jeffrey A. Barad, Michael F. Kiris, Cetin C. Vu, Bruce T. Parlier, Christopher R. Applied Modeling and Simulation Branch NAS Division MS N258-2 Science and Technology Corporation Moffett Field CA 94035 United States Mechanical and Aeronautical Engineering University of California Davis Science and Technology Corporation Moffett Field CA 94035 United States Applied Modeling and Simulation Branch NAS Division MS N258-2 NASA Ames Research Center Moffett Field CA 94035 United States Gas and Fluid Systems NASA Kennedy Space Center FL 32899 United States Experimental Facilities Technq. NASA Kennedy Space Center FL 32899 United States

A numerical investigation on the computational requirements for the simulation of jet impingement flows is presented. Comparisons between di?erent computational fidelities (inviscid, implicit large eddy simulation and detached eddy simulation) and boundary condition treatments (slip and no-slip) are assessed for a jet impingement model problem. Spectral analysis, Proper Orthogonal Decomposition (POD), and other statistical tools are used to analyze the unsteady flow features. These tools provide detailed insight into the shock oscillations, unsteadiness of the jet, and possible coupling mechanisms. The highly unsteady shock oscillations at the primary and secondary impingement locations can be captured with only a few POD modes. A computational model able to correctly predict the key features of the unsteady pressure field at a launch site must temporally and spatially resolve these most energetic flow structures. A new jet impingement model problem is proposed that mimics the second deflection of the jet commonly observed in traditional flame deflectors configurations. A feedback phenomena which couples the jet dynamics with the unsteadiness at the primary and secondary impingement locations was identified for this configuration. Finally, the pressure environment for the Falcon Heavy launch vehicle is simulated and some of the key physical mechanisms from the model jet impingement problem are identified.

关键词： Flame deflectors

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Parallel Verification of UML Using DiVinE Tool

Parallel Verification of UML Using DiVinE Tool

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International Conference on computer science and Information Technology

作者： Muhammad Abdul Basit-Ur-Rahim Jamil Ahmad Fahim Arif Department of Computer Software Engineering Military College of Signals National University of Science & Technology Islamabad Pakistan Research Center for Modeling and Simulation Military College of Signals National University of Science & Technology Islamabad Pakistan

ISBN: (纸本)9781467356107

Unified modeling Language is being used for modeling of business processes, real-time systems, embedded systems and hybrid systems. In software engineering, there are different techniques for verification of such systems. Model checking is one of the techniques for the automatic verification of software models. Earlier, these model were verified by sequential model checking tools. For very large complex systems, parallel verification can save verification time. DiVinE is a model checking tool for both CPUs and GPUs clusters to perform parallel linear time logic (LTL) verification of systems. In this paper, we propose a parallel verification methodology for UML models using DiVinE tool. We explain this methodology by the case study example of fuel filling machine.

关键词： UML Verification DiVinE Parallel Verification UML Verification checking tools central processing units Parallel Lines Complex systems hybrid systems Model checking Business process management Software engineering program verification modelling languages FILLING MACHINE Case studies

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Proof-of-concept of a networked validation environment for distributed air/ground nextgen concepts

Proof-of-concept of a networked validation environment for d...

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2013 Aviation Technology, Integration, and Operations Conference

作者： Grisham, James Larson, Natalie Nelson, Justin Reed, Joshua Suggs, Marvin Underwood, Matthew Papelis, Yiannis Ballin, Mark G. University of Texas at Arlington Mechanical and Aerospace Engineering Arlington TX 76019 United States University of California San Diego Computer Science and Engineering La Jolla CA 92093 United States University of Wisconsin-Stout Department of Computer Science Menomonie WI 54751 United States Old Dominion University Department of Aerospace Engineering Norfolk VA 23529 United States Arkansas Tech University Department of Electrical Engineering Russellville AR 72801 United States West Virginia University Mechanical and Aerospace Engineering Morgantown WV 26506 United States Old Dominion University Virginia Modeling Analysis and Simulation Center Norfolk VA 23529 United States NASA Langley Research Center Hampton VA 23681 United States

ISBN: (纸本)9781624102257

The National Airspace System (NAS) must be improved to increase capacity, reduce flight delays, and minimize environmental impacts of air travel. NASA has been tasked with aiding the Federal Aviation Administration (FAA) in NAS modernization. Automatic Dependent Surveillance-Broadcast (ADS-B) is an enabling technology that is fundamental to realization of the Next Generation Air Transportation System (NextGen). Despite the 2020 FAA mandate requiring ADS-B Out equipage, airspace users are lacking incentives to equip with the requisite ADS-B avionics. A need exists to validate in flight tests advanced concepts of operation (ConOps) that rely on ADS-B and other data links without requiring costly equipage. A potential solution is presented in this paper. It is possible to emulate future data link capabilities using the existing in-flight Internet and reduced-cost test equipment. To establish proof-of-concept, a high-fidelity traffic operations simulation was modified to include a module that simulated Internet transmission of ADS-B messages. An advanced NASA ConOp, Flight Deck Interval Management (FIM), was used to evaluate technical feasibility. A preliminary assessment of the effects of latency and dropout rate on FIM was performed. Flight hardware that would be used by proposed test environment was connected to the simulation so that data transfer from aircraft systems to test equipment could be verified. The results indicate that the FIM ConOp, and therefore, many other advanced ConOps with equal or lesser response characteristics and data requirements, can be evaluated in flight using the proposed concept.

关键词： NASA

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Periodic dynamics, localization metastability, and elastic interaction of colloidal particles with confining surfaces and helicoidal structure of cholesteric liquid crystals

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Physical Review E 2014年第6期90卷 062502-062502页

作者： Michael C. M. Varney Qiaoxuan Zhang Mykola Tasinkevych Nuno M. Silvestre Kris A. Bertness Ivan I. Smalyukh Department of Physics University of Colorado at Boulder Boulder Colorado 80309 USA Materials Science and Engineering Program University of Colorado at Boulder Boulder Colorado 80309 USA Max-Planck-Institut für Intelligente Systeme D-70569 Stuttgart Germany Institut für Theoretische Physik IV Universität Stuttgart D-70569 Stuttgart Germany Centro de Física Teórica e Computacional and Faculdade de Ciências da Universidade de Lisboa Av. Prof. Gama Pinto 2 1649-003 Lisboa Portugal National Institute of Standards and Technology Boulder Colorado 80305 USA Department of Electrical Computer and Energy Engineering and Liquid Crystals Materials Research Center University of Colorado at Boulder Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado at Boulder Boulder Colorado 80309 USA

Nematic and cholesteric liquid crystals are three-dimensional fluids that possess long-range orientational ordering and can support both topological defects and chiral superstructures. Implications of this ordering remain unexplored even for simple dynamic processes such as the ones found in so-called “fall experiments,” or motion of a spherical inclusion under the effects of gravity. Here we show that elastic and surface anchoring interactions prompt periodic dynamics of colloidal microparticles in confined cholesterics when gravity acts along the helical axis. We explore elastic interactions between colloidal microparticles and confining surfaces as well as with an aligned ground-state helical structure of cholesterics for different sizes of spheres relative to the cholesteric pitch, demonstrating unexpected departures from Stokes-like behavior at very low Reynolds numbers. We characterize metastable localization of microspheres under the effects of elastic and surface anchoring periodic potential landscapes seen by moving spheres, demonstrating the important roles played by anchoring memory, confinement, and topological defect transformation. These experimental findings are consistent with the results of numerical modeling performed through minimizing the total free energy due to colloidal inclusions at different locations along the helical axis and with respect to the confining substrates. A potential application emerging from this work is colloidal sorting based on particle shapes and sizes.

关键词： CHOLESTERIC liquid crystals LIQUID crystals ENANTIOSELECTIVE catalysis HELICAL waveguides GRAVITY

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Semi-supervised classification of realtime physiological sensor datastreams for student affect assessment in intelligent tutoring

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11th International Conference on Intelligent Tutoring Systems, ITS 2012

作者： Brawner, Keith W. Sottilare, Robert Gonzalez, Avelino United States Army Research Laboratory Learning in Intelligent Tutoring Environments Laboratory Simulation and Training Technology Center Orlando FL 32826 United States Univercity of Central Florida Department of Electrical Engineering and Computer Science Orlando FL 32826 United States

ISBN: (纸本)9783642309496

Famously, individual expert tutoring holds the promise of two standard deviations of improvement over classroom-based instruction. Current content-scaling techniques have been able to prove one standard deviation of improvement. However, just as expert tutors take the motivation and emotional state of the student into account for instruction, so too must computer instructors. Differences between individuals and individual baselines make this difficult, but this information is known across one training session. The construction of assessing modules in realtime, from the available performance and sensor datastreams, skirts these problems, but is technically difficult. This research investigates automated student model construction in realtime from datastreams as a solution from which to base pedagogical strategy recommendations. © 2012 Springer-Verlag.

关键词： Students

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