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AIAA Space and Astronautics Forum and Exposition, 2018

作者： Aaseng, Gordon B. Frank, Jeremy D. Iatauro, Michael Knight, C. Levinson, Richard Ossenfort, John Scott, Michael Sweet, Adam Csank, Jeffrey Soeder, James Carrejo, Daniel Loveless, Andrew T. Ngo, Tam Greenwood, Zachary NASA Ames Research Center Moffett Field Intelligent Systems Division M/S/269 CA94035-1000 United States NASA Ames Research Center Moffett Field Intelligent Systems Division M/S 269-1 CA94035-1000 United States NASA Glenn Research Center Power Management and Distribution M/S 301-5 21000 Brookpark Rd ClevelandOH44135 United States NASA Glenn Research Center Power Division M/S 301-5 21000 Brookpark Rd ClevelandOH44135 United States NASA Johnson Space Center Systems Engineering and Test Branch 2101 E NASA Pkwy HoustonTX77058 United States NASA Johnson Space Center Command and Data Handling Branch 2101 E NASA Pkwy HoustonTX77058 United States NASA Johnson Space Center Spacecraft Software Engineering Branch 2101 E NASA Pkwy HoustonTX77058 United States NASA Marshall Space Flight Center Redstone Arsenal Environmental Control and Life Support Systems Branch ES62 HuntsvilleAL35812 United States

ISBN: (数字)9781624105753

ISBN: (纸本)9781624105753

As the increased distance between Earth-based mission control and the spacecraft results in increasing communication delays, small crews cannot take on all functions performed by ground today, and so vehicles must be more automated to reduce the crew workload for such missions. In addition, both near-term and future missions will feature significant periods when crew is not present, meaning the vehicles will need to operate themselves autonomously. NASA’s Advanced Exploration Systems Program pioneers new approaches for rapidly developing prototype systems, demonstrating key capabilities, and validating operational concepts for future human missions beyond low-Earth orbit. Under this program, NASA has developed and demonstrated multiple technologies to enable the autonomous operation of a dormant space habitat. These technologies included a fault-tolerant avionics architecture, novel spacecraft power system and power system controller, and autonomy software to control the habitat. The demonstration involved simulation of the habitat and multiple spacecraft sub-systems (power storage and distribution, avionics, and air-side life-support) during a multi-day test at NASA’s Johnson Space Center. The foundation of the demonstration was ‘quiescent operations’ of a habitat during a 55 minute eclipse period. For this demonstration, the spacecraft power distribution system and air-side life support system were simulated at a high level of fidelity;additional systems were managed, but with lower fidelity operational constraints and system behavior. Operational constraints for real and simulated loads were developed by analyzing on-orbit hardware and evaluating future Exploration capable technology. A total of 13 real and simulated loads were used during the test. Eight scenarios including both nominal and off-nominal conditions were performed. Over the course of the test, every application performed its desired functions successfully during the simulated tests. The results wil

关键词： NASA

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The need to implement FAIR principles in biomolecular simulations

arXiv

引用

arXiv 2024年

作者： Amaro, R. Åqvist, J. Bahar, I. Battistini, F. Bellaiche, A. Beltran, D. Biggin, P.C. Bonomi, M. Bowman, G.R. Bryce, R. Bussi, G. Carloni, P. Case, D. Cavalli, A. Chang, C.A. Cheatham, T.E. Cheung, M.S. Chipot, C. Chong, L.T. Choudhary, P. Cisneros, G.A. Clementi, C. Collepardo-Guevara, R. Coveney, P. Covino, R. Crawford, T.D. Dal Peraro, M. de Groot, B. Delemotte, L. De Vivo, M. Essex, J. Fraternali, F. Gao, J. Gelpí, J.L. Gervasio, F.L. Gonzalez-Nilo, F.D. Grubmüller, H. Guenza, M.G. Guzman, H.V. Harris, S. Head-Gordon, T. Hernandez, R. Hospital, A. Huang, N. Huang, X. Hummer, G. Iglesias-Fernández, J. Jensen, J.H. Jha, S. Jiao, W. Jorgensen, W.L. Kamerlin, S.C.L. Khalid, S. Laughton, C. Levitt, M. Limongelli, V. Lindahl, E. Lindorff-Larsen, K. Loverde, S. Lundborg, M. Luo, Y.L. Luque, F.J. Lynch, C.I. MacKerell, A. Magistrato, A. Marrink, S.J. Martin, H. McCammon, J.A. Merz, K. Moliner, V. Mulholland, A. Murad, S. Naganathan, A.N. Nangia, S. Noe, F. Noy, A. Oláh, J. O'Mara, M. Ondrechen, M.J. Onuchic, J.N. Onufriev, A. Osuna, S. Palermo, G. Panchenko, A.R. Pantano, S. Parish, C. Parrinello, M. Perez, A. Perez-Acle, T. Perilla, J.R. Pettitt, B.M. Pietropaolo, A. Piquemal, J.-P. Poma, A. Praprotnik, M. Ramos, M.J. Ren, P. Reuter, N. Roitberg, A. Rosta, E. Rovira, C. Roux, B. Röthlisberger, U. Sanbonmatsu, K. Schlick, T. Shaytan, A.K. Simmerling, C. Smith, J.C. Sugita, Y. Świderek, K. Taiji, M. Tao, P. Tikhonova, I.G. Tirado-Rives, J. Tuñón, I. Van Der Kamp, M.W. Van der Spoel, D. Velankar, S. Voth, G.A. Wade, R. Warshel, A. Welborn, V.V. Wetmore, S. Wong, C.F. Yang, L.-W. Zacharias, M. Orozco, M. Department of Molecular Biology University of California San DiegoCA United States Department of Cell and Molecular Biology Uppsala University Uppsala Sweden Laufer Center for Physical and Quantitative Biology Renaissance School of Medicine Stony Brook University Stony BrookNY United States Department of Biochemistry and Cell Biology Renaissance School of Medicine Stony Brook University Stony BrookNY United States Barcelona Spain European Molecular Biology Laboratory European Bioinformatics Institute Hinxton United Kingdom Structural Bioinformatics and Computational Biochemistry Department of Biochemistry University of Oxford Oxford United Kingdom Institut Pasteur Université Paris Cité CNRS UMR 3528 Computational Structural Biology Unit Paris France Department of Biochemistry and Biophysics University of Pennsylvania PhiladelphiaPA United States Division of Pharmacy and Optometry University of Manchester Manchester United Kingdom Scuola Internazionale Superiore di Studi Avanzati-SISSA Trieste Italy Computational Biomedicine Institute of Advanced Simulations IAS-5 Institute for Neuroscience and Medicine INM-9 Forschungszentrum Jülich GmbH Jülich Germany Department of Physics and Universitätsklinikum RWTH Aachen University Aachen Germany Department of Chemistry & Chemical Biology Rutgers University PiscatawayNJ United States Istituto Italiano di Tecnologia Drug Discovery and Development Bologna Italy Lausanne Switzerland Department of Chemistry University of California RiversideCA United States Department of Medicinal Chemistry College of Pharmacy University of Utah Salt Lake CityUT United States Department of Physics University of Washington SeattleWA United States Pacific Northwest National Laboratory RichlandWA United States LIA CNRS-UIUC UMR n°7019 Université de Lorraine Vandœuvre-lès-Nancy France Department of Physics University of Illinois at Urbana-Champaign UrbanaIL United States Department of Biochemistry and Molecular Biol

The communities that embraced data archiving efforts decades ago are now, in the era of data-driven biology, those gaining the most from the AI revolution. The structural biology community was a pioneer in this regard by establishing the Protein data Bank (PDB) in 1971 and making data accessible using the FAIR (Findable, Accessible, Interoperable and Reusable) principles even before these were articulated [1, 2]. The genomics/bioinformatics community has followed the example, establishing many widely used databases [3, 4]. By contrast, molecular simulation has been anchored in usage paradigms dating back to the seventies, when molecular dynamics (MD) simulation was first applied to study biomacromolecules [5]. At that time, MD was used by theoretical physicists and chemists in "proof of concept" simulations. Still, fifty years later, MD has evolved into a cornerstone molecular biology technique that can provide accurate quantitative analysis and property prediction. MD is now employed by tens of thousands of researchers worldwide, accounting for roughly 15% of global supercomputer usage. Unfortunately, these rich and costly data are not systematically maintained, and when further analyses are required, simulations have to be rerun-an unacceptable situation from scientific, environmental and sustainability standpoints. In this letter, we argue for a collaborative endeavor to archive MD simulation data and describe ongoing efforts to establish cost-effective and sustainable data archiving strategies. © 2024, CC BY-NC-SA.

关键词： Biotic

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The PLATO mission

引用

Experimental Astronomy 2025年第3期59卷 1-111页

作者： Rauer, Heike Aerts, Conny Cabrera, Juan Deleuil, Magali Erikson, Anders Gizon, Laurent Goupil, Mariejo Heras, Ana Walloschek, Thomas Lorenzo-Alvarez, Jose Marliani, Filippo Martin-Garcia, César Mas-Hesse, J. Miguel O’Rourke, Laurence Osborn, Hugh Pagano, Isabella Piotto, Giampaolo Pollacco, Don Ragazzoni, Roberto Ramsay, Gavin Udry, Stéphane Appourchaux, Thierry Benz, Willy Brandeker, Alexis Güdel, Manuel Janot-Pacheco, Eduardo Kabath, Petr Kjeldsen, Hans Min, Michiel Santos, Nuno Smith, Alexis Suarez, Juan-Carlos Werner, Stephanie C. Aboudan, Alessio Abreu, Manuel Acuña, Lorena Adams, Moritz Adibekyan, Vardan Affer, Laura Agneray, François Agnor, Craig Aguirre Børsen-Koch, Victor Ahmed, Saad Aigrain, Suzanne Al-Bahlawan, Ashraf Alcacera Gil, Ma de los Angeles Alei, Eleonora Alencar, Silvia Alexander, Richard Alfonso-Garzón, Julia Alibert, Yann Allende Prieto, Carlos Almeida, Leonardo Alonso Sobrino, Roi Altavilla, Giuseppe Althaus, Christian Alvarez Trujillo, Luis Alonso Amarsi, Anish Ammler-von Eiff, Matthias Amôres, Eduardo Andrade, Laerte Antoniadis-Karnavas, Alexandros António, Carlos Aparicio del Moral, Beatriz Appolloni, Matteo Arena, Claudio Armstrong, David Aroca Aliaga, Jose Asplund, Martin Audenaert, Jeroen Auricchio, Natalia Avelino, Pedro Baeke, Ann Baillié, Kevin Balado, Ana Ballber Balagueró, Pau Balestra, Andrea Ball, Warrick Ballans, Herve Ballot, Jerome Barban, Caroline Barbary, Gaële Barbieri, Mauro Barceló Forteza, Sebastià Barker, Adrian Barklem, Paul Barnes, Sydney Barrado Navascues, David Barragan, Oscar Baruteau, Clément Basu, Sarbani Baudin, Frederic Baumeister, Philipp Bayliss, Daniel Bazot, Michael Beck, Paul G. Belkacem, Kevin Bellinger, Earl Benatti, Serena Benomar, Othman Bérard, Diane Bergemann, Maria Bergomi, Maria Bernardo, Pierre Biazzo, Katia Bignamini, Andrea Bigot, Lionel Billot, Nicolas Binet, Martin Biondi, David Biondi, Federico Birch, Aaron C. Bitsch, Bertram Bluhm Ceballos, Paz Victoria Bódi, Attila Bognár, Zsófia Boisse, Isabelle Bolmont, Emeline Bonanno, Alfio Bonavita, Institut für Planetenforschung Deutsches Zentrum für Luft- und Raumfahrt DLR Rutherfordstrasse 2 Berlin 12489 Germany Fachbereich Geowissenschaften Institut für Geologische Freie Universität Berlin Malteserstr. 74-100 Berlin 12249 Germany Institute of Astronomy KU Leuven Leuven Belgium CNRS CNES LAM Aix Marseille University Marseille France Max Planck Institute for Solar System Research Göttingen Germany LESIA Paris Observatory PSL University Sorbonne University Paris Cité University CNRS Meudon France ESTEC European Space Agency Noordwijk Netherlands ESAC European Space Agency Madrid Spain Centro de Astrobiología CSIC-INTA Campus ESAC Madrid Spain Center for Space and Habitability University of Bern Bern Switzerland INAF - Osservatorio Astrofisico di Catania Catania Italy Department of Physics and Astronomy University of Padua Padua Italy Department of Physics University of Warwick Coventry United Kingdom Astronomical Observatory of Padova INAF - Italian National Institute for Astrophysics Padua Italy Armagh Observatory and Planetarium College Hill Armagh United Kingdom Geneve Observatory University of Geneve Geneve Switzerland IAS University of Paris-Saclay Orsay France AlbaNove University Centre Stockholm University Stockholm Sweden Department of Astrophysics University of Vienna Vienna Austria Department of Astronomy University of Sao Paulo Sao Paulo Brazil Astronomical Institute of the Czech Academy of Sciences Ondřejov Czech Republic Department of Physics and Astronomy Aarhus University Aarhus Denmark Institute for Space Research SRON Leiden Netherlands Instituto de Astrofísica e Ciências do Espaço CAUP Universidade do Porto Porto Portugal Departamento de Física e Astronomia Faculdade da Ci ncias Universidade do Porto Porto Portugal Mullard Space Science Laboratory University College London Holmbury Saint Mary United Kingdom Dept. Theoretical Physics and the Cosmos University of Granada Granada Spain Centre for Plan

PLATO (PLAnetary Transits and Oscillations of stars) is ESA’s M3 mission designed to detect and characterise extrasolar planets and perform asteroseismic monitoring of a large number of stars. PLATO will detect small planets (down to <2REarth) around bright stars (<11 mag), including terrestrial planets in the habitable zone of solar-like stars. With the complement of radial velocity observations from the ground, planets will be characterised for their radius, mass, and age with high accuracy (5%, 10%, 10% for an Earth-Sun combination respectively). PLATO will provide us with a large-scale catalogue of well-characterised small planets up to intermediate orbital periods, relevant for a meaningful comparison to planet formation theories and to better understand planet evolution. It will make possible comparative exoplanetology to place our Solar System planets in a broader context. In parallel, PLATO will study (host) stars using asteroseismology, allowing us to determine the stellar properties with high accuracy, substantially enhancing our knowledge of stellar structure and evolution. The payload instrument consists of 26 cameras with 12cm aperture each. For at least four years, the mission will perform high-precision photometric measurements. Here we review the science objectives, present PLATO‘s target samples and fields, provide an overview of expected core science performance as well as a description of the instrument and the mission profile towards the end of the serial production of the flight cameras. PLATO is scheduled for a launch date end 2026. This overview therefore provides a summary of the mission to the community in preparation of the upcoming operational phases. © The Author(s) 2025.

关键词： Asteroseismology Exoplanets PLATO mission

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On analyzing of fingerprint direct-access strategies

On analyzing of fingerprint direct-access strategies

引用

International Conference on data and software engineering (ICODSE)

作者： G. Indrawan S. Akbar B. Sitohang Data & Software Engineering Research Division Bandung Institute of Technology Bandung Indonesia

This paper analyzed several aspect of publicly available fingerprint direct-access strategies over three public data sets, including their advantages and drawbacks, related works, and accuracy performance comparison on the graph of error rate and penetration rate. On recent research, smaller penetration rate at certain error rate (smaller area under curve) could be obtained by certain strategy. Penetration rate equal to 5% could be produced at error rate equal to 4%, 10%, and 1% on FVC2000 DB2A, FVC2000 DB3A, and FVC2002 DB1A, respectively. Through this analysis, hopely it could be used as a foundation for better future developments over new strategies or future improvements over existing strategies in area of fingerprint identification, especially to obtain more accurate result with smaller area under curve and achieved with faster search time.

关键词： Fingerprint recognition Erbium Accuracy Indexing Fingers Head

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Service-oriented infrastructure for flood mapping using optical and SAR satellite data

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International Journal of Digital Earth 2014年第10期7卷 829-845页

作者： N.Kussul A.Shelestov S.Skakun G.Li O.Kussul J.Xie Department of Space Information Technologies and Systems Space Research Institute NASU-NSAUKyivUkraine Departemnt of Information Security Physics and Technology InstituteNational Technical University of Ukraine“Kyiv Polytechnic Institute”KyivUkraine Department of Software Engineering National University of Life and Environmental Sciences of UkraineKyivUkraine Data Technology Division Center of Earth Observation and Digital EarthChinese Academy of SciencesBeijingChina

In this paper,we present the service-oriented infrastructure within the Wide Area Grid project that was carried out within the Working Group on Information Systems and Services of the Committee on Earth Observation *** developed infrastructure integrates services and computational resources of several regional and national Grid systems:Ukrainian Academician Grid(with satellite data processing Grid segment,UASpaceGrid)and Grid system at the Center on Earth Observation and Digital Earth of Chinese Academy of *** study focuses on integrating geo-information services on flood mapping provided by Ukrainian and Chinese entities to benefit from information acquired from multiple *** also describe services for workflow automation and management in Grid environment and provide an example of workflow automation for generating flood maps from optical and synthetic-aperture radar satellite *** also discuss issues of enabling trust for the infrastructure using certificates and reputation-based *** of utilizing the developed infrastructure for operational flood mapping in Ukraine and China are given as well.

关键词： earth observation geoinformatics geospatial data integration image processing remote sensing

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Implementation of physics simulation in serious game

Implementation of physics simulation in serious game

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International Conference on ICT For Smart Society (ICISS)

作者： Rizal Broer Bahaweres Angga Pratama Benhard Sitohang Data & Software Engineering Research Division-School of Electrical Engineering & Informatics Institute of Technology Bandung Faculty of Science and Technology State Islamic University Syarif Hidayatullah Jakarta Indonesia

Three dimension computer graphics has become important to present virtual objects to be more realistic and physically correct. One way to enhancing realism is by representing the physics simulation. We tried to implement physics simulation into a serious game. It is because of ability to increase realism in synthesis on virtual object motion. We design a serious game called “Traffic Drive”. Traffic Drive is a vehicle simulation game that has a goal to drive a vehicle, especially cars, with emphasis on safety and presented in a fun way. In physics simulation and game that are vehicle's physics a physics of gear and physics of rollover. It was expected that physics simulation can make the behavior of vehicles in the game resembles the behavior of the vehicle in terms of more realistics. And it is used as the object of research to compare the results of the data simulation with data from manual calculations. Comparison of results from the simulation output data and manual calculations were analyzed using T test hypotheses. From that T test was concluded that the output of data simulation with formula calculation almost the same.

关键词： Physics Games Gears Solid modeling Manuals Mathematical model Vehicles

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Coevolutionary modeling in network formation

Coevolutionary modeling in network formation

引用

IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Ibrahim Al-Shyoukh Georgios Chasparis Jeff S. Shamma Georgia Institute of Technology Atlanta GA US Department of Data Analysis Systems Software Competence Center Hagenberg GmbH Hagenberg Austria CEMSE Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA

ISBN: (纸本)9781479970896

Network coevolution, the process of network topology evolution in feedback with dynamical processes over the network nodes, is a common feature of many engineered and natural networks. In such settings, the change in network topology occurs at a comparable time scale to nodal dynamics. Coevolutionary modeling offers the possibility to better understand how and why network structures emerge. For example, social networks can exhibit a variety of structures, ranging from almost uniform to scale-free degree distributions. While current models of network formation can reproduce these structures, coevolutionary modeling can offer a better understanding of the underlying dynamics. This paper presents an overview of recent work on coevolutionary models of network formation, with an emphasis on the following three settings: (i) dynamic flow of benefits and costs, (ii) transient link establishment costs, and (iii) latent preferential attachment.

关键词： Network topology Biological system modeling Economics Topology Nash equilibrium Educational institutions Cost function

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Review of sequential access method for fingerprint identification

引用

Telkomnika 2012年第2期10卷 335-342页

作者： Indrawan, G. Sitohang, B. Akbar, S. Data and Software Engineering Research Division School of Electrical Engineering and Informatics Bandung Institute of Technology Jl. Ganesha No. 10 Bandung West Java Indonesia

Real time fingerprint identification is usually equipped with specific computation machine architecture to optimize speed factor. Focusing on achieving better speed performance of fingerprint identification on common computation machine, a disquisition was conducted on sequential access method for fingerprint identification, with its underlying data structure designed to work with parallel processing. Hypothetically, parallel processing based on multi-cores processor technology, can give faster result without reducing accuracy. If multi core processor was detected, simultaneous processes would run on fingerprint matching-pairs to find its similarity score, respectively. Experiment confirms that speed performance of fingerprint identification using sequential access method with parallel processing outperforms the one without parallel processing. For both strategy, even though using parallel processing confirms faster result, experiment shows that searching time O(n) still linearly depends on number of fingerprints in database. Avoiding such searching time trend, hypothetically, need strategy of direct access method utilization. © 2012 Universitas Ahmad Dahlan.

关键词： Palmprint recognition

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Parallel processing for Fingerprint feature extraction

Parallel processing for Fingerprint feature extraction

引用

2011 International Conference on Electrical engineering and Informatics, ICEEI 2011

作者： Indrawan, G. Sitohang, B. Akbar, S. Data and Software Engineering Research Division School of Electrical Engineering and Informatics ITB Jl. Ganesha No. 10 Bandung West Java Indonesia

ISBN: (纸本)9781457707520

关键词： Extraction

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Parallel processing for Fingerprint feature extraction

Parallel processing for Fingerprint feature extraction

引用

International Conference on Electrical engineering and Informatics, ICEEI

作者： G. Indrawan B. Sitohang S. Akbar Data & Software Engineering Research Division School of Electrical Engineering and Informatics West Java Indonesia

Real time fingerprint identification based on original non-alphanumeric content matching shouldn't compromise with its speed factor. Real production-quality implementation usually equipped with specific machine architecture to optimize this factor. On this research, we focus on achieving higher speed on common machine with respect to fingerprint accuracy factor. We explore the possibility to optimize execution time of fingerprint minutiae-based feature extraction using parallel process. Hypothetically, in general using parallel process will be faster than using sequential process. Taking advantage of multicore processor technology, optimization of execution time of fingerprint feature extraction is conducted using parallel process by processor cores. We have identified the possibility to implement parallel process on 29 different routines that are executed once or more. We compare result of average execution time of a fingerprint feature extraction using parallel and sequential process on Set B of database 1 of Fingerprint Verification Contest 2000, 2002, and 2004. The experiment confirms the hypothesis and gives consistent result, i.e. faster about 57%, 55%, and 60% for each tested database.

关键词： Fingerprint recognition Histograms Parallel processing Feature extraction Smoothing methods Instruction sets Bifurcation

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