Relevant bibliographies by topics / Probabilistic scenario

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Probabilistic scenario'

Author: Grafiati
Published: 22 February 2023
Last updated: 23 February 2023

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Journal articles on the topic "Probabilistic scenario"

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Szyniszewski, Stefan. "Probabilistic Scenario Approach to Structural Design." IABSE Symposium Report 96, no. 2 (2009): 100–109. http://dx.doi.org/10.2749/222137809796089089.

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Cheung, Ling, Mariëlle Stoelinga, and Frits Vaandrager. "A testing scenario for probabilistic processes." Journal of the ACM 54, no. 6 (2007): 29. http://dx.doi.org/10.1145/1314690.1314693.

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Adriano, Bruno, Erick Mas, Shunichi Koshimura, Miguel Estrada, and Cesar Jimenez. "Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions." Journal of Disaster Research 9, no. 6 (2014): 968–75. http://dx.doi.org/10.20965/jdr.2014.p0968.

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The implementation of adequate urban development and measures systems against tsunami impact in coastal communities is improved by understanding damage probability among building structures. Within the framework of the project Enhancement of Earthquake and Tsunami Disaster Mitigation Technology in Peru (JST-JICA SATREPS), the authors analyze the damage probability of building structures due to tsunami impact in the Callao region of Peru. Two different tsunami hazard scenarios are assumed in assessing building damage probability. The first tsunami scenario represents the worse-case scenario of
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Kameda, Hiroyuki, Yutaka Ishikawa, Toshihiko Okumura, and Masato Nakajima. "Probabilistic Scenario Earthquakes. Definition and Engineering Applications." Doboku Gakkai Ronbunshu, no. 577 (1997): 75–87. http://dx.doi.org/10.2208/jscej.1997.577_75.

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Møller, Jesper, and Man Lung Yiu. "Probabilistic results for a mobile service scenario." Advances in Applied Probability 43, no. 2 (2011): 322–34. http://dx.doi.org/10.1239/aap/1308662481.

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We consider the following stochastic model for a mobile service scenario. Consider a stationary Poisson process in Rd, with its points radially ordered with respect to the origin (the anchor); if d = 2, the points may correspond to locations of, e.g. restaurants. A user, with a location different from the origin, asks for the location of the first Poisson point and keeps asking for the location of the next Poisson point until the first time that he/she can be completely certain that he/she knows which Poisson point is his/her nearest neighbour. This waiting time is the communication cost, whil
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Møller, Jesper, and Man Lung Yiu. "Probabilistic results for a mobile service scenario." Advances in Applied Probability 43, no. 02 (2011): 322–34. http://dx.doi.org/10.1017/s0001867800004870.

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We consider the following stochastic model for a mobile service scenario. Consider a stationary Poisson process in R d , with its points radially ordered with respect to the origin (the anchor); if d = 2, the points may correspond to locations of, e.g. restaurants. A user, with a location different from the origin, asks for the location of the first Poisson point and keeps asking for the location of the next Poisson point until the first time that he/she can be completely certain that he/she knows which Poisson point is his/her nearest neighbour. This waiting time is the communication cost, wh
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Mandelli, Diego, Alper Yilmaz, Tunc Aldemir, Kyle Metzroth, and Richard Denning. "Scenario clustering and dynamic probabilistic risk assessment." Reliability Engineering & System Safety 115 (July 2013): 146–60. http://dx.doi.org/10.1016/j.ress.2013.02.013.

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Di Maio, Francesco, Matteo Vagnoli, and Enrico Zio. "Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis." Science and Technology of Nuclear Installations 2015 (2015): 1–29. http://dx.doi.org/10.1155/2015/693891.

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In integrated deterministic and probabilistic safety analysis (IDPSA), safe scenarios and prime implicants (PIs) are generated by simulation. In this paper, we propose a novel postprocessing method, which resorts to a risk-based clustering method for identifying Near Misses among the safe scenarios. This is important because the possibility of recovering these combinations of failures within a tolerable grace time allows avoiding deviations to accident and, thus, reducing the downtime (and the risk) of the system. The postprocessing risk-significant features for the clustering are extracted fr
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Qian, Xinbo, Qiuhua Tang, and Bo Tao. "A Novel Scenario Reduction Method by 3D-Outputs Clustering for Condition-Based Maintenance Optimization." International Journal of Reliability, Quality and Safety Engineering 24, no. 04 (2017): 1750018. http://dx.doi.org/10.1142/s0218539317500188.

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Condition-based maintenance (CBM) optimization involves considering inherent uncertainties and external uncertainties. Since computational complexity increases exponentially with the number of degradation uncertainties and stages, scenario reduction aims to select small set of typical scenarios which can maintain the probability distributions of outputs of possible scenarios. A novel scenario reduction method, 3D-outputs-clustering scenario reduction (3DOCS), is presented by considering the impacts of uncertainty parameters on the output performance for CBM optimization which have been overloo
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Demazy, Antonin, Tansu Alpcan, and Iven Mareels. "A Probabilistic Reverse Power Flows Scenario Analysis Framework." IEEE Open Access Journal of Power and Energy 7 (2020): 524–32. http://dx.doi.org/10.1109/oajpe.2020.3032902.

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Dissertations / Theses on the topic "Probabilistic scenario"

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Mandelli, Diego. "SCENARIO CLUSTERING AND DYNAMIC PROBABILISTIC RISK ASSESSMENT." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306438099.

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Daniel, Lionel. "Paraconsistent probabilistic reasoning : applied to scenario recognition and voting theory." Paris, ENMP, 2010. http://pastel.archives-ouvertes.fr/pastel-00537758.

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Les humains raisonnent souvent en présence d'informations contradictoires. Dans cette thèse, j'ébauche une axiomatisation du sens commun sous-jacent à ce raisonnement dit paraconsistant. L'implémentation de cette axiomatisation dans les ordinateurs autonomes sera essentielle si nous envisageons de leur déléguer des décisions critiques ; il faudra également vérifier formellement que leurs réactions soient sans risque en toute situation, même incertaine. Une situation incertaine est ici modélisée par une base de connaissances probabilistes éventuellement inconsistante ; c'est un multi-ensemble d
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Qin, Xinzhou. "A Probabilistic-Based Framework for INFOSEC Alert Correlation." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7278.

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Deploying a large number of information security (INFOSEC) systems can provide in-depth protection for systems and networks. However, the sheer number of security alerts output by security sensors can overwhelm security analysts from performing effective analysis and taking timely response. Therefore, alert correlation is the core component in a security management system. Most of existing alert correlation techniques depend on a priori and hard-coded domain knowledge that lead to their limited capabilities of detecting new attack strategies. These approaches also focus more on the aggregation
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Pierson, Emma. "TRAINING OF AIR TRAFFIC CONTROLLERS IN WEATHER-RELATED DECISION-MAKING USING SCENARIO-BASED METHODS AND PROBABILISTIC HAZARD INFORMATION." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1561153166794587.

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Islam, Md Rubayat Ul. "Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1560965666900518.

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Ronstad, David. "A Comparison between two different Methods to Verify Fire Safety Design in Buildings." Thesis, Luleå tekniska universitet, Byggkonstruktion och brand, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-62258.

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In today’s Nordic construction industry, it is difficult for new and innovative building solutions to be introduced due to prescriptive and inflexible regulations. Trading products and services cross-border is something that could loosen the tough market, but this is not possible due to the lack of common international frameworks that is performance based with the possibility to perform fire safety engineering. This is something that the Nordic Innovation project group called Fire Safety Engineering for Innovative and Sustainable Building Solutions wants to change. By introducing a new probabi
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Firl, Jonas [Verfasser]. "Probabilistic Maneuver Recognition in Traffic Scenarios / Jonas Firl." Karlsruhe : KIT Scientific Publishing, 2015. http://www.ksp.kit.edu.

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Dammes, Timo [Verfasser]. "Probabilistic Range Estimation for Wireless Indoor Localization in NLOS Scenarios / Timo Dammes." Aachen : Shaker, 2015. http://d-nb.info/1069050407/34.

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Tumelo-Chakonta, Chomba. "The value and risk of probabilistic thermal uprating scenarios on power system reliability." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/the-value-and-risk-of-probabilistic-thermal-uprating-scenarios-on-power-system-reliability(e76924fd-29a8-4d52-934c-edbd1cbfdb96).html.

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According to the European Network of Transmission System Operators for Electricity (ENTSO-E) there is a need to invest 104 billion Euros to either refurbish or construct overhead lines (OHLs). This massive enterprise is mainly driven by the need to accommodate the proliferation of renewable energy generation projects across Europe in response to the European Commission’s directive to supply 20% of its energy from renewables by the year 2020. However, 30% of transmission projects experience delays; and moreover, it has been found that if the existing grid capacity is to be increased by about 1.
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Gerossier, Alexis. "Short-term forecasting of electricity demand of smart homes and distribution grids." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM056.

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Cette thèse s’intéresse à la prévision à court terme de la demande électrique d’une maison intelligente et des réseaux de distribution. Les données mesurées par les compteurs intelligents permettent de caractériser la demande électrique à l’échelle d’une maison et de la comparer à la demande régionale, pour étudier notamment l’effet de foisonnement. Cette analyse permet de développer des modèles de prévision de cette demande. Ces modèles sont de nature statistique et font usage de méthodes d’apprentissage automatique. Un soin particulier est porté à la sélection de variables d’entrée pertinent
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Books on the topic "Probabilistic scenario"

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Solozhent︠s︡ev, E. D. Scenario logic and probabilistic management of risk in business and engineering. 2nd ed. Springer, 2009.

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Solozhent︠s︡ev, E. D. Scenario logic and probabilistic management of risk in business and engineering. 2nd ed. Springer, 2009.

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Solojentsev, Evgueni D. Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-77946-1.

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Scenario logic and probabilistic management of risk in business and engineering. 2nd ed. Springer, 2009.

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Scenario logic and probabilistic management of risk in business and engineering. Springer, 2005.

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Laboratory, Argonne National, and U.S. Nuclear Regulatory Commission. Division of Systems Analysis and Regulatory Effectiveness., eds. Technical basis for calculating radiation doses for the building occupancy scenario using the probabilistic RESRAD-BUILD 3.0 code. U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2002.

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Andres, Terry. The definition and treatment of scenarios in a probabilistic systems assessment. Whiteshell Laboratories, 1998.

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1932-, Algermissen Sylvester Theodore, and Geological Survey (U.S.), eds. Probabilistic and scenario estimates of losses to dwellings in California. Dept. of the Interior, U.S. Geological Survey, 1990.

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Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Kluwer Academic Publishers, 2005. http://dx.doi.org/10.1007/1-4020-2978-0.

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Solojentsev, Evgueni D. Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer, 2010.

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Book chapters on the topic "Probabilistic scenario"

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Yoe, Charles. "Probabilistic Scenario Analysis." In Principles of Risk Analysis. CRC Press, 2019. http://dx.doi.org/10.1201/9780429021121-16.

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Tempo, Roberto, Giuseppe Calafiore, and Fabrizio Dabbene. "Scenario Approach to Probabilistic Design." In Randomized Algorithms for Analysis and Control of Uncertain Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4610-0_12.

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Stoelinga, Mariëlle, and Frits Vaandrager. "A Testing Scenario for Probabilistic Automata." In Automata, Languages and Programming. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45061-0_38.

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Kuiken, M. J., J. A. Stoop, and S. Ijsselstijn. "Scenario Analysis, a Safety Engineering Design Tool." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_444.

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Solojentsev, Evgueni D. "Scenario Logic And Probabilistic Risk Models Of Bribes." In Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77946-1_17.

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Øien, Knut, Lars Bodsberg, Stig Ole Johnsen, Trygve Steiro, and John Monsen. "Development of a Scenario Analysis Method for the Analysis of Complex Changes." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_287.

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Solojentsev, Evgueni D. "Bases of Logic and Probabilistic Calculus." In Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77946-1_8.

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Solojentsev, Evgueni D. "Logical And Probabilistic Theory Of Risk With Groups Of Incompatible Events." In Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77946-1_11.

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Solojentsev, Evgueni D. "Management and Risk." In Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77946-1_1.

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Solojentsev, Evgueni D. "Automated Structural and Logical Modeling." In Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77946-1_10.

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Conference papers on the topic "Probabilistic scenario"

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Li, Wenrui, Pengcheng Zhang, Zhijian Wang, and Zhongxue Yang. "Generating Probabilistic Temporal Logic Formulas from Probabilistic Scenario-Based Specifications." In 2011 IEEE 5th International Symposium on Theoretical Aspects of Software Engineering (TASE). IEEE, 2011. http://dx.doi.org/10.1109/tase.2011.30.

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Zhang, Minghua, Yang Yang, Abdelghani Fadil, and Kaiquan Cai. "Scenario Analysis for Probabilistic Airport Departure Capacity." In 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS). IEEE, 2022. http://dx.doi.org/10.1109/icns54818.2022.9771529.

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Collinson, Roger, Ritu Gupta, Gregory Charles Smith, and Jan Folkert Van Elk. "Scenario Analysis Tool For Probabilistic Analysis Of Reserves." In SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/116378-ms.

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Chang, Ming-Ching, Nils Krahnstoever, and Weina Ge. "Probabilistic group-level motion analysis and scenario recognition." In 2011 IEEE International Conference on Computer Vision (ICCV). IEEE, 2011. http://dx.doi.org/10.1109/iccv.2011.6126312.

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da Costa, Joari Paulo, Gerson Couto de Oliveira, and Luiz Fernando Loureiro Legey. "Reduced Scenario Tree Generation for Mid-term Hydrothermal Operation Planning." In 2006 International Conference on Probabilistic Methods Applied to Power Systems. IEEE, 2006. http://dx.doi.org/10.1109/pmaps.2006.360199.

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Sallaberry, Cédric J., Robert E. Kurth, Frederick W. Brust, and Elizabeth A. Kurth. "Proposed Approach of Scenario Analysis Using a Probabilistic Code." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65989.

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The following paper presents a global methodology to analyze the set of results generated by a probabilistic analysis. The approach regroups traditional analyses such as Sensitivity Analysis (SA), Uncertainty Analysis (UA), and stability analysis as well as sensitivity studies (both deterministic and probabilistic) with enhanced sampling techniques (double loop to separate aleatory from epistemic uncertainty, importance sampling, adaptive sampling) in an incremental set of steps, with the goal to give the analyst and decision maker the most comprehensive and defensible collection of results. A
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Yan, Chao, Xinbo Geng, Le Xie, and Zhaohong Bie. "A Scenario-based Storage Planning Framework with Probabilistic Guarantees." In 2019 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2019. http://dx.doi.org/10.1109/ispec48194.2019.8975144.

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Wang, Guang, Vahid Disfani, and Jan Kleissl. "Scenario Based Stochastic Optimization of Probabilistic EV Charging Scheduling." In 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2018. http://dx.doi.org/10.1109/isgt-asia.2018.8467924.

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Hoffman, Robert, Jimmy Krozel, Goli Davidson, and David Kierstead. "Probabilistic Scenario-Based Event Planning for Traffic Flow Management." In AIAA Guidance, Navigation and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-6361.

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Sang, Yuanrui, Mostafa Sahraei-Ardakani, Jiayue Xue, and Ge Ou. "Effective Scenario Selection for Preventive Stochastic Unit Commitment during Hurricanes." In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2018. http://dx.doi.org/10.1109/pmaps.2018.8440242.

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Reports on the topic "Probabilistic scenario"

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Hobbs, T. E., J. M. Journeay, A. S. Rao, et al. Scientific basis of Canada's first public national seismic risk model. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330927.

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Natural Resources Canada, in partnership with the Global Earthquake Model Foundation, has prepared a public Canadian Seismic Risk Model to support disaster risk reduction efforts across industry and all levels of government, and to aid in Canada's adoption of the Sendai Framework for Disaster Risk Reduction. Developing this model has involved the creation of a national exposure inventory, Canadian specific fragility and vulnerability curves, and adjustment of the Canadian Seismic Hazard Model which forms the basis for the seismic provisions of the National Building Code of Canada. Using the Gl
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Washio, Takashi. Model Learning for Probabilistic Simulation on Rare Events and Scenarios. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada616937.

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Wagener, Thorsten, Michael Mann, and Robert Crane. Framework for Probabilistic Projections of Energy-Relevant Streamflow Indicators under Climate Change Scenarios for the U.S. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1149586.

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Terzic, Vesna, and William Pasco. Novel Method for Probabilistic Evaluation of the Post-Earthquake Functionality of a Bridge. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1916.

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While modern overpass bridges are safe against collapse, their functionality will likely be compromised in case of design-level or beyond design-level earthquake, which may generate excessive residual displacements of the bridge deck. Presently, there is no validated, quantitative approach for estimating the operational level of the bridge after an earthquake due to the difficulty of accurately simulating residual displacements. This research develops a novel method for probabilistic evaluation of the post-earthquake functionality state of the bridge; the approach is founded on an explicit eva
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Russo, David, Daniel M. Tartakovsky, and Shlomo P. Neuman. Development of Predictive Tools for Contaminant Transport through Variably-Saturated Heterogeneous Composite Porous Formations. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7592658.bard.

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The vadose (unsaturated) zone forms a major hydrologic link between the ground surface and underlying aquifers. To understand properly its role in protecting groundwater from near surface sources of contamination, one must be able to analyze quantitatively water flow and contaminant transport in variably saturated subsurface environments that are highly heterogeneous, often consisting of multiple geologic units and/or high and/or low permeability inclusions. The specific objectives of this research were: (i) to develop efficient and accurate tools for probabilistic delineation of dominant geol
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Torres, Marissa, and Norberto Nadal-Caraballo. Rapid tidal reconstruction with UTide and the ADCIRC tidal database. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41503.

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The quantification of storm surge is vital for flood hazard assessment in communities affected by coastal storms. The astronomical tide is an integral component of the total still water level needed for accurate storm surge estimates. Coastal hazard analysis methods, such as the Coastal Hazards System and the StormSim Coastal Hazards Rapid Prediction System, require thousands of hydrodynamic and wave simulations that are computationally expensive. In some regions, the inclusion of astronomical tides is neglected in the hydrodynamics and tides are instead incorporated within the probabilistic f
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Nadal-Caraballo, Norberto, Madison Yawn, Luke Aucoin, et al. Coastal Hazards System–Puerto Rico and US Virgin Islands (CHS-PR). Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46200.

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The South Atlantic Coastal Study (SACS) was completed by the US Army Corps of Engineers to quantify storm surge and wave hazards allowing for the expansion of the Coastal Hazards System (CHS) to the South Atlantic Division (SAD) domain. The goal of the CHS-SACS was to quantify coastal storm hazards for present conditions and future sea level rise (SLR) scenarios to aid in reducing flooding risk and increasing resiliency in coastal environments. CHS-SACS was completed for three regions within the SAD domain, and this report focuses on the Coastal Hazards System–Puerto Rico and US Virgin Islands
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