Literatura académica sobre el tema "Analisi probabilistica"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Analisi probabilistica".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Analisi probabilistica"
De la Sen, M. "On Probabilistic Alpha-Fuzzy Fixed Points and Related Convergence Results in Probabilistic Metric and Menger Spaces under Some Pompeiu-Hausdorff-Like Probabilistic Contractive Conditions". Journal of Function Spaces 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/213174.
Texto completoAnwar, Fadrinsyah. "Analisis Kualitas Pelayanan Terminal Kargo Bandara Dengan Jaringan Probabilistik". WARTA ARDHIA 41, n.º 2 (16 de agosto de 2017): 59. http://dx.doi.org/10.25104/wa.v41i2.145.59-68.
Texto completoRiveros, Bruno, Mariana Rosim, Gabriel Pedro, Rosa Lucchetta y Marcelo Nita. "Análise de custo-efetividade e a análise de sensibilidade, um roteiro para execução de uma abordagem probabilística: Introdução à análise de sensibilidade probabilística (Parte I)". Jornal de Assistência Farmacêutica e Farmacoeconomia 1, n.º 2 (diciembre de 2016): 33–38. http://dx.doi.org/10.22563/2525-7323.2016.v1.n2.p.33-38.
Texto completoHartini, Entin, Roziq Himawan y Mike Susmikanti. "FRACTURE MECHANICS UNCERTAINTY ANALYSIS IN THE RELIABILITY ASSESSMENT OF THE REACTOR PRESSURE VESSEL: (2D) SUBJECTED TO INTERNAL PRESSURE". JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 18, n.º 2 (6 de junio de 2016): 55. http://dx.doi.org/10.17146/tdm.2016.18.2.2466.
Texto completoUdiyani, Pande Made y Sri Kuntjoro. "PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe". JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 17, n.º 3 (3 de octubre de 2015): 149. http://dx.doi.org/10.17146/tdm.2015.17.3.2326.
Texto completoNuryanti, Nuryanti, Suparman Suparman, Mochamad Nasrullah, Elok S. Amitayani y Wiku Lulus Widodo. "ANALISIS KELAYAKAN FINANSIAL PROYEK PLTN SMR DI INDONESIA DENGAN MEMPERTIMBANGKAN VARIABEL KETIDAKPASTIAN". Jurnal Pengembangan Energi Nuklir 17, n.º 2 (29 de diciembre de 2015): 133. http://dx.doi.org/10.17146/jpen.2015.17.2.2609.
Texto completoPavese, Carlotta. "Probabilistic Knowledge in Action". Analysis 80, n.º 2 (1 de abril de 2020): 342–56. http://dx.doi.org/10.1093/analys/anz094.
Texto completoTsujimoto, Kazuki y Toshiaki Omori. "Switching Probabilistic Slow Feature Analysis for Time Series Data". International Journal of Machine Learning and Computing 10, n.º 6 (diciembre de 2020): 740–45. http://dx.doi.org/10.18178/ijmlc.2020.10.6.999.
Texto completoArbutina, Dalibor, Aleksandra Vasić-Milovanović y Uroš Kovačević. "Probabilistic analysis of voltage divider ratios". FME Transactions 47, n.º 3 (2019): 624–33. http://dx.doi.org/10.5937/fmet1903624a.
Texto completoIrzik, G. "Armstrong's account of probabilistic laws". Analysis 51, n.º 4 (1 de octubre de 1991): 214–17. http://dx.doi.org/10.1093/analys/51.4.214.
Texto completoTesis sobre el tema "Analisi probabilistica"
Bertoni, Vanessa. "Analisi probabilistica e uso di controventi dissipativi in telai in accaio e composti acciaio - calcestruzzo". Doctoral thesis, Università degli studi di Trieste, 2011. http://hdl.handle.net/10077/4469.
Texto completoIn questa tesi si indagano vari metodi per la protezione sismica delle strutture a partire da una corretta e realistica valutazione della loro risposta sismica attraverso un approccio probabilistico che tenga conto delle aleatorietà più significative. Se la risposta non soddisfa quanto atteso si può intervenire in vari modi come attraverso l’introduzione di controventi dissipativi. Si analizzano qui due tipologie: i controventi dotati di dispositivi visco elastici e quelli con dispositivi fluido viscosi. Di entrambi si presentano dei metodi di progetto completi con relativi confronti.
XXIII Ciclo
1977
Bella, Maurizio. "Modellazione numerica di strutture sismoresistenti e analisi probabilistiche di tipo montecarlo". Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3460.
Texto completoLo scopo della presente Tesi è lo sviluppo e la messa a punto di una serie di modelli numerici e codici di calcolo atti a modellare il comportamento di strutture sismoresistenti di tipo intelaiato sottoposte ad azione sismica al fine di poter effettuare una valutazione dell'affidabilità strutturale per mezzo di analisi probabilistiche di tipo Montecarlo. In particolare la modellazione dei giunti composti trave-colonna, è stata realizzata definendo un modello meccanico per componenti, atto a descrivere il comportamento del giunto modellato per mezzo di un insieme di elementi rigidi e deformabili, opportunamente connessi tra di loro e a cui sono stati assegnati opportuni modelli istertici. A tale scopo si è proceduto allo sviluppo ed implementazione all’interno del codice di calcolo ABAQUS e ADAPTIC di una serie di modelli isteretici reperiti in letteratura atti alla modellazione numerica delle principali componenti deformative individuabili nei giunti trave colonna e nei dispositivi viscoelastici utilizzati nella realizzazione di controventi dissipativi. Nello sviluppo del modello meccanico per la modellazione del comportamento dei giunti nodi trave colonna composti si è prestata particolare attenzione alla definizione degli elementi che descrivono l’interazione tra la soletta e la colonna. Per agevolare l’esecuzione dell’elevato numero di analisi numeriche richieste dalle analisi probabilistiche di tipo Montecarlo si è inoltre proceduto a sviluppare un pre-processore ed un post-processore in grado di interfacciarsi con i codici di calcolo utilizzati. Nel primo capitolo verrà introdotto il problema della valutazione dell'affidabilità delle strutture. Nel secondo capitolo verranno introdotti i metodi di analisi strutturale con particolare riferimento al metodo dell'analisi probabilistica di tipo montecarlo applicato alla valutazione dell'affidabilità delle strutture. Nel terzo capitolo si esaminerà la problematica della modellazione numerica delle strutture sismoresistenti. Nel quarto capitolo verranno illustrati i modelli numerici sviluppati e implementati nonchè i codici di calcolo sviluppati. Nel quinto capitolo verrà illustrato il processo di validazione dei modelli numerici sviluppati utilizzando i risultati forniti da una serie di indagini sperimentali condotte da vari autori e reperite in letteratura. Infine nel sesto capitolo si procederà alla valutazione dell'affidabilità strutturale di una struttura intelaiata campione. Più precisamente la struttura oggetto dell’indagine è il telaio testato nel European Laboratory for Structural Assessment (ELSA) del Joint Research Center (JRC) di Ispra (Varese). In particolare, per tale struttura verranno determinate le curve di fragilità con riferimento allo spostamento relativo di interpiano (IRDA) assunto come indice di danno strutturale.
XXII Ciclo
1979
Tagliaferri, Lorenza. "Probabilistic Envelope Curves for Extreme Rainfall Events - Curve Inviluppo Probabilistiche per Precipitazioni Estreme". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amslaurea.unibo.it/99/.
Texto completoLOPES, VALDIR M. "Incidentes em reatores nucleares de pesquisa examinados por analise de probabilidade deterministica e analise probabilistica de seguranca". reponame:Repositório Institucional do IPEN, 2010. http://repositorio.ipen.br:8080/xmlui/handle/123456789/9589.
Texto completoMade available in DSpace on 2014-10-09T13:56:28Z (GMT). No. of bitstreams: 0
Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
Beccuti, Marco. "Modeling and analisys of probabilistic system : Formalism and efficient algorithm". Paris 9, 2008. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2008PA090060.
Texto completoStanghellini, Andrea. "Analisi costi benefici di un'infrastruttura stradale con approccio probabilistico all'analisi di sensitività e di rischio". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4782/.
Texto completoAsafu-Adjei, Joseph Kwaku. "Probabilistic Methods". VCU Scholars Compass, 2007. http://hdl.handle.net/10156/1420.
Texto completoSato, Fujio 1944. "Um estudo comparativo da analise de curto-circuito probabilistico em ambientes paralelo e distribuido". [s.n.], 1995. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260361.
Texto completoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
Made available in DSpace on 2018-07-20T14:56:15Z (GMT). No. of bitstreams: 1 Sato_Fujio_D.pdf: 8110910 bytes, checksum: ae60d1e9b50e670431be8430488de6e4 (MD5) Previous issue date: 1995
Resumo: Este trabalho apresenta a paralelização de um programa de análise de curto-circuito probabilístico utilizando o método de Monte Cado para sistemas de potência. O programa, originariamente desenvolvido e implementado em computadores seqüenciais, foi codificado para dois ambientes distintos de alto desempenho (paralelo e distribuído), tendo como um dos objetivos a verificação de alguns itens importantes concernentes ao processamento paralelo, tais como: portabilidade, desempenho, escalabilidade e comunicação. As implementações paralela e distribuída desta aplicação foram feitas com dois modelos de programação concorrente: o SP M D (Single Process Multiple Data) e o Mestre/Escravo. Os resultados foram obtidos através de testes em quatro sistemas elétricos da região Sul-Sudeste do Sistema Interligado brasileiro
Abstract: This work presents the parallelization of a power system probabilistic short-circuit analysis program using Monte Gar/o method. A sequential version of the code, originally developed for one-processor machine, was extended to two different high performance computer system architectures (parallel and distributed). The main objective of the research was to study issues such as portability, performance, scalability and communication. Two programming models have been implemented on both architectures: SP MD, (Single Process Multiple Data) and MasterjSlave. The architectures and the models have been evalueted by simulation on four real-life networks of the brazilian South-Southeast interconnected system
Doutorado
Energia Eletrica
Doutor em Engenharia Elétrica
Alhajj, Chehade Hicham. "Geosynthetic-Reinforced Retaining Walls-Deterministic And Probabilistic Approaches". Thesis, Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALI010.
Texto completoThe aim of this thesis is to assess the seismic internal stability of geosynthetic reinforced soil retaining walls. The work first deals with deterministic analyses and then focus on probabilistic ones. In the first part of this thesis, a deterministic model, based on the upper bound theorem of limit analysis, is proposed for assessing the reinforced soil wall safety factor or the required reinforcement strength to stabilize the structure. A spatial discretization technique is used to generate the rotational failure surface and give the possibility of considering heterogeneous backfills and/or to represent the seismic loading by the pseudo-dynamic approach. The cases of dry, unsaturated and saturated soils are investigated. Additionally, the crack presence in the backfill soils is considered. This deterministic model gives rigorous results and is validated by confrontation with existing results from the literature. Then, in the second part of the thesis, this deterministic model is used in a probabilistic framework. First, the uncertain input parameters are modeled using random variables. The considered uncertainties involve the soil shear strength parameters, seismic loading and reinforcement strength parameters. The Sparse Polynomial Chaos Expansion that consists of replacing the time expensive deterministic model by a meta-model, combined with Monte Carlo Simulations is considered as the reliability method to carry out the probabilistic analysis. Random variables approach neglects the soil spatial variability since the soil properties and the other uncertain input parameters, are considered constant in each deterministic simulation. Therefore, in the last part of the manuscript, the soil spatial variability is considered using the random field theory. The SIR/A-bSPCE method, a combination between the dimension reduction technique, Sliced Inverse Regression (SIR) and an active learning sparse polynomial chaos expansion (A-bSPCE), is implemented to carry out the probabilistic analysis. The total computational time of the probabilistic analysis, performed using SIR-SPCE, is significantly reduced compared to directly running classical probabilistic methods. Only the soil strength parameters are modeled using random fields, in order to focus on the effect of the spatial variability on the reliability results
Guo, Xiangfeng. "Probabilistic stability analysis of an earth dam using field data". Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALI017.
Texto completoUncertainties of soil properties are widely encountered in the field of geotechnical engineering especially for earth dams which are constructed with earthen materials. In recent years, there is an increasing need, motivated by the deficiencies of the traditional deterministic approach or guided by the national regulations such as in France, of accounting for these uncertainties for a safe assessment of large dams particularly in the framework of risk analysis studies. However, probabilistic analyses are still complex and not so easy to implement in practice due to the limited number of in-situ measurements, expensive computation efforts and lack of implementation of reliability methods in commercial simulation tools. Moreover, most of the previous studies are based on academic cases and hypothetic data.This work attempts to deal with the aforementioned issues by providing a probabilistic analysis study for the stability of a real earth dam using available field data. This study includes the following main elements: (1) definition of the soil variability by using the available measurements; (2) development of the deterministic models; (3-4) dam probabilistic analyses using the random-variables and random-fields approaches; (5) three-dimensional reliability analysis of the considered dam. Advanced reliability methods, such as the adaptive surrogate modelling, are introduced for the studied earth dam problem. This allows accurately estimating the dam failure probability and the safety factor statistics with a significantly reduced calculation time. In addition, some issues, that remain unknown or unclear in the field of the dam probabilistic analysis, are discussed (e.g. global sensitivity analysis of the soil hydraulic and shear strength parameters; performance survey of five reliability methods; simulation/comparison of three different kinds of random fields: generic (unconditional-stationary), conditional and nonstationary). The presented work, based on real measurements, could be a good supplement to the existing probabilistic studies of geo-structures. Readers will find useful information from the obtained results in order to better solve the practical geotechnical problems in a probabilistic framework
Libros sobre el tema "Analisi probabilistica"
Alon, Noga. The probabilistic method. 3a ed. New York, NY: John Wiley, 2008.
Buscar texto completoAlon, Noga. The probabilistic method. New York: Wiley, 1992.
Buscar texto completoH, Spencer Joel, ed. The probabilistic method. Hoboken, New Jersey: John Wiley & Sons, Inc., 2016.
Buscar texto completoAlon, Noga. The Probabilistic Method. New York: John Wiley & Sons, Ltd., 2005.
Buscar texto completoAlon, Noga. The probabilistic method. 3a ed. New York, NY: John Wiley, 2008.
Buscar texto completoAlon, Noga. The probabilistic method. 2a ed. New York: Wiley, 2000.
Buscar texto completoTownsend, John S. Review of the probabilistic failure analysis methodology and other probabilistic approaches for application in aerospace structural design. Huntsville, Ala: George C. Marshall Space Flight Center, 1993.
Buscar texto completoProbabilistic techniques in analysis. New York: Springer-Verlag, 1995.
Buscar texto completoHynes, Mary Ellen. Probabilistic liquefaction analysis. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1999.
Buscar texto completoHynes, M. E. Probabilistic liquefaction analysis. Washington, D.C: U.S. Nuclear Regulatory Commission, 1990.
Buscar texto completoCapítulos de libros sobre el tema "Analisi probabilistica"
Reidys, Christian. "Probabilistic Analysis". En Combinatorial Computational Biology of RNA, 143–86. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-76731-4_5.
Texto completoSnapp, Robert R. "Probabilistic Analysis". En Encyclopedia of Social Network Analysis and Mining, 1–28. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_155-1.
Texto completoMaxim, Dorin, Liliana Cucu-Grosjean y Robert I. Davis. "Probabilistic Analysis". En Handbook of Real-Time Computing, 1–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-4585-87-3_9-1.
Texto completoSnapp, Robert R. "Probabilistic Analysis". En Encyclopedia of Social Network Analysis and Mining, 1362–88. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_155.
Texto completoMaxim, Dorin, Liliana Cucu-Grosjean y Robert I. Davis. "Probabilistic Analysis". En Handbook of Real-Time Computing, 323–46. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-287-251-7_9.
Texto completoBürgisser, Peter y Felipe Cucker. "Probabilistic Analysis". En Grundlehren der mathematischen Wissenschaften, 21–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38896-5_2.
Texto completoSnapp, Robert R. "Probabilistic Analysis". En Encyclopedia of Social Network Analysis and Mining, 1866–92. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_155.
Texto completoHuang, Xiaoxia. "Probabilistic Portfolio Selection". En Portfolio Analysis, 11–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11214-0_2.
Texto completoLarsen, Rasmus y Klaus Baggesen Hilger. "Probabilistic Generative Modelling". En Image Analysis, 861–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_114.
Texto completoWirsching, P. H. "Probabilistic Fatigue Analysis". En Probabilistic Structural Mechanics Handbook, 146–65. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1771-9_7.
Texto completoActas de conferencias sobre el tema "Analisi probabilistica"
Ramanath, Vinay y Gene E. Wiggs. "DACE Based Probabilistic Optimization of Mechanical Components". En ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-91024.
Texto completoParajuli, H. Ram, J. Kiyono, H. Taniguchi, K. Toki y P. Nath Maskey. "Probabilistic seismic hazard assessment for Nepal". En RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100351.
Texto completoCarvalho, E., J. Cruz, P. Barahona, Theodore E. Simos, George Psihoyios y Ch Tsitouras. "Probabilistic Reasoning with Continuous Constraints". En Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790083.
Texto completoChang, Kuang-Hua, Xiaoming Yu y Kyung Choi. "Probabilistic structural stability prediction". En 6th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4064.
Texto completoShin, Youngwon. "Improving Probabilistic Damage Tolerance Analysis for Inspection Optimization: Possibilistic-Probabilistic Approach". En 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-6050.
Texto completoWang, C., W. Gao y S. Tangaramvong. "Hybrid Probabilistic and Non-Probabilistic Analysis of Structures with Mixed Uncertainties". En Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.220.
Texto completoTavakoli, Yashar, H. Haj Seyyed Javadi y Hossein Erfani. "A Probabilistic Analysis for Greedy Paths". En NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990983.
Texto completoAfshin Abdollahi. "Probabilistic decision diagrams for exact probabilistic analysis". En 2007 IEEE/ACM International Conference on Computer-Aided Design. IEEE, 2007. http://dx.doi.org/10.1109/iccad.2007.4397276.
Texto completoCapiez-Lernout, Evange´line y Christian Soize. "Specifying Manufacturing Tolerances for a Given Amplification Factor: A Nonparametric Probabilistic Methodology". En ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38050.
Texto completoBhimanadam, V. R. y F. J. Blom. "Probabilistic PTS Analysis". En ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63112.
Texto completoInformes sobre el tema "Analisi probabilistica"
Benson, William E., Jr Berg y Joseph W. Probabilistic Seismic Hazard Analysis. Fort Belvoir, VA: Defense Technical Information Center, enero de 1988. http://dx.doi.org/10.21236/ada203074.
Texto completoCohen, Paul R. Probabilistic, Dynamic Analysis of Plans. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2004. http://dx.doi.org/10.21236/ada422223.
Texto completoDarwiche, Adnan. Probabilistic Sensitivity Analysis for Situation Awareness. Fort Belvoir, VA: Defense Technical Information Center, junio de 2008. http://dx.doi.org/10.21236/ada484629.
Texto completoHansen, Jeffery. Probabilistic Analysis of Time Sensitive Systems. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2014. http://dx.doi.org/10.21236/ada610981.
Texto completoBlakely, Scott. Probabilistic Analysis for Reliable Logic Circuits. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.1859.
Texto completoCheverton, R. D. y T. L. Dickson. HFIR vessel probabilistic fracture mechanics analysis. Office of Scientific and Technical Information (OSTI), enero de 1997. http://dx.doi.org/10.2172/654200.
Texto completoZio, Enrico y Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, mayo de 2012. http://dx.doi.org/10.57071/155chr.
Texto completoFranco, John. Probabilistic Analysis of Algorithms for NP-Complete Problems. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1986. http://dx.doi.org/10.21236/ada179537.
Texto completoBlumenthal, Saul y Prem Goel. Fatigue Crack Propagation: Probabilistic Modeling and Statistical Analysis. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1988. http://dx.doi.org/10.21236/ada195885.
Texto completoSeitz, R. PROBABILISTIC SENSITIVITY AND UNCERTAINTY ANALYSIS WORKSHOP SUMMARY REPORT. Office of Scientific and Technical Information (OSTI), junio de 2008. http://dx.doi.org/10.2172/933167.
Texto completo