Relevant bibliographies by topics / Event-based models

Contents

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

Academic literature on the topic 'Event-based models'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Event-based models"

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GUO, Zheng-hu, Zhong-yu CHEN, and Ji-chang ZHANG. "Event-based merging of partial behavior models." Journal of Computer Applications 30, no. 1 (2010): 266–69. http://dx.doi.org/10.3724/sp.j.1087.2010.00266.

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Padoan, Simone A. "Extreme dependence models based on event magnitude." Journal of Multivariate Analysis 122 (November 2013): 1–19. http://dx.doi.org/10.1016/j.jmva.2013.07.009.

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Kim, Soo-Jong, and Yong-Joo Chung. "Sound Event Detection based on Segmental Models." Journal of Korean Institute of Information Technology 21, no. 6 (2023): 93–100. http://dx.doi.org/10.14801/jkiit.2023.21.6.93.

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Lu, Jing, and Vincent Ng. "Span-Based Event Coreference Resolution." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 15 (2021): 13489–97. http://dx.doi.org/10.1609/aaai.v35i15.17591.

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Motivated by the recent successful application of span-based models to entity-based information extraction tasks, we investigate span-based models for event coreference resolution, focusing on determining (1) whether the successes of span-based models of entity coreference can be extended to event coreference; (2) whether exploiting the dependency between event coreference and the related subtask of trigger detection; and (3) whether automatically computed entity coreference information can benefit span-based event coreference resolution. Empirical results on the standard evaluation dataset pr
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XIA, Wei, Yi-Ping YAO, Xiao-Dong MU, and Lin LIU. "Parallel Model Checking for Discrete Event Simulation Models Based on Event Graphs." Journal of Software 23, no. 6 (2012): 1429–43. http://dx.doi.org/10.3724/sp.j.1001.2012.04047.

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Correcher, A., E. García, F. Morant, and E. Quiles. "Intermittent failure diagnosis based on discrete event models." IFAC Proceedings Volumes 37, no. 18 (2004): 147–52. http://dx.doi.org/10.1016/s1474-6670(17)30737-1.

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Moreira, Marcos V., and Jean-Jacques Lesage. "Fault diagnosis based on identified discrete-event models." Control Engineering Practice 91 (October 2019): 104101. http://dx.doi.org/10.1016/j.conengprac.2019.07.019.

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Trenouth, William R., and Bahram Gharabaghi. "Event-based soil loss models for construction sites." Journal of Hydrology 524 (May 2015): 780–88. http://dx.doi.org/10.1016/j.jhydrol.2015.03.010.

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Jansen, Aren, and Partha Niyogi. "Point process models for event-based speech recognition." Speech Communication 51, no. 12 (2009): 1155–68. http://dx.doi.org/10.1016/j.specom.2009.05.008.

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Delignières, Didier, Kjerstin Torre, and Loïc Lemoine. "Fractal models for event-based and dynamical timers." Acta Psychologica 127, no. 2 (2008): 382–97. http://dx.doi.org/10.1016/j.actpsy.2007.07.007.

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Dissertations / Theses on the topic "Event-based models"

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Bolton, Christie. "On the refinement of state-based and event-based models." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270246.

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Peña, Araya Vanessa Carolina. "Spatio-temporal historical event visual exploration through social media-based models." Tesis, Universidad de Chile, 2018. http://repositorio.uchile.cl/handle/2250/168484.

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Tesis para optar al grado de Doctora en Ciencias, Mención Computación<br>Las plataformas de redes sociales en lı́nea sirven como importantes fuentes de información acerca de lo que está pasando en el mundo y cómo la gente reacciona a estos eventos. Dentro de toda la información útil que los cientı́ficos han extraı́do de estos repositorios, el análisis de mensajes relacionados con eventos del mundo real son una importante oportunidad para realizar análisis histórico de noticias. Como los mensajes publicados en estas plataformas contienen distintos puntos de vista de una noticias, contribuyen co
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Yang, Xueyao. "Real-time Probabilistic Contaminant Source Identification and Model-Based Event Detection Algorithms." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1385114685.

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Kim, Pilho. "E-model event-based graph data model theory and implementation /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29608.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Madisetti, Vijay; Committee Member: Jayant, Nikil; Committee Member: Lee, Chin-Hui; Committee Member: Ramachandran, Umakishore; Committee Member: Yalamanchili, Sudhakar. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Wang, Qingsu 1952. "Management of continuous system models in DEVS-SCHEME: Time windows for event-based control." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/291950.

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This thesis describes the design and implementation of an extended knowledge-based modeling and simulation environment, in which the management of continuous-time models in DEVS-SCHEME is realized to meet the requirements of the modeling and simulation of a robot-managed laboratory aboard the forthcoming Space Station Freedom. The modular hierarchical modeling scheme is preserved in the continuous models by using DYMOLA, a continuous modeling language, as a bridge between the abstracted DEVS models and the continuous simulation language code (in DESIRE). Through operations on the System Entity
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Iliescu, Dan Cristian. "Customer based time-to-event models for cancellation behavior a revenue management integrated approach /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26537.

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Thesis (Ph.D)--Civil and Environmental Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Laurie A. Garrow; Committee Member: Dr. John D. Leonard; Committee Member: Dr. Mark Ferguson; Committee Member: Dr. Michael D. Meyer; Committee Member: Dr. Patrick S. McCarthy. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Birks, Daniel J. "Computational Agent-Based Models of Offending: Assessing the Generative Sufficiency of Opportunity-Based Explanations of the Crime Event." Thesis, Griffith University, 2012. http://hdl.handle.net/10072/367327.

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This thesis demonstrates that agent-based modelling offers a viable compatriot to traditional experimental methodologies for criminology scholars, that can be applied to explore the divide between micro-level criminological theory and macro-level observations of crime; and in turn, aid in the assessment of those theories which aim to describe the crime event. The following overarching research question is addressed: Are the micro-level mechanisms of the opportunity theories generatively sufficient to explain macroscopic patterns commonly observed in the empirical study of crime? Drawing on the
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Lee, Tomie J., and Elliot Nordin. "USING SIMULATION AS AN ADVANCED TESTING METHOD : A study to improve a transportation service of an event-based system." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19593.

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Today in a modern society the pace is high and the need for flexibility and mobilityis big. Despite the increasing access and great digital solutions for online-meetings,the need for short distance transportation remains. With an increasing number ofeasy-to-use mobile applications, the many offered solutions for personal transporta-tion have in the last few years expanded. Besides the effect of an increasing pressureof road space, the pressure on the transportation solutions has escalated. This is the current situation of the company we came in contact with. Their currenttravel service provide
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Barthel, Nicole [Verfasser], Claudia [Akademischer Betreuer] Czado, Paul [Gutachter] Janssen, Harry [Gutachter] Joe, and Claudia [Gutachter] Czado. "Vine based models for multivariate volatility time-series and time-to-event data / Nicole Barthel ; Gutachter: Paul Janssen, Harry Joe, Claudia Czado ; Betreuer: Claudia Czado." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1187917419/34.

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Arastuie, Makan. "Generative Models of Link Formation and Community Detection in Continuous-Time Dynamic Networks." University of Toledo / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1596718772873086.

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Books on the topic "Event-based models"

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H, Wang A., and United States. National Aeronautics and Space Administration., eds. Numerical modeling of coronal mass ejections based on various pre-event model atmospheres. National Aeronautics and Space Administration, 1994.

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H, Wang A., and United States. National Aeronautics and Space Administration., eds. Numerical modeling of coronal mass ejections based on various pre-event model atmospheres. National Aeronautics and Space Administration, 1995.

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service), SpringerLink (Online, ed. SynDEVS Co-Design Flow: A Hardware / Software Co-Design Flow Based on the Discrete Event System Specification Model of Computation. Springer Fachmedien Wiesbaden, 2012.

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Mamychev, Aleksey, Anton Vasilyev, DariusH Shopper, et al. THE ROBOTS ASSERT THEIR RIGHTS. Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/02027-2.

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The monograph was prepared based on the results of the I far Eastern international forum "Robots claim their rights: doctrinal and legal foundations and moral and ethical standards for the use of Autonomous robotic technologies and devices", dedicated to the discussion of the processes of digital transformation of society, public power activities, law and the state. The event discussed social and philosophical, political and legal, and moral and ethical issues of developing, implementing and applying modern end-to-end digital technologies in various spheres of society's life.&#x0D; The propose
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EM-Based Mixture Models Applied to Video Event Detection. INTECH, 2012.

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Cao, Xi-Ren. Stochastic Learning and Optimization: A Sensitivity-Based Approach (International Series on Discrete Event Dynamic Systems). Springer, 2007.

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Casey, Patricia. Models, risks, and protections (DRAFT). Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198786214.003.0004.

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Several explanatory models have been proposed for AD. The stress model is the current model and the one on which the ICD-11 criteria will be based. Others include a crisis model, a biological model, and a transactional-cognitive model. The research on the risk and protective factors is sparse and some studies are poorly designed owing to inadequate confounder control. The presence of a stressor is essential, and it can be a common event such as relationship breakdown or more traumatic stressors that have come to be associated with PTSD. Personality disorder does not appear to be a specific ris
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Birks, Daniel. Simulating Crime Event Decision Making. Edited by Wim Bernasco, Jean-Louis van Gelder, and Henk Elffers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199338801.013.27.

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Crime is the result of numerous interconnected and interdependent crime event decisions made by potential offenders, victims, and crime preventers. The majority of these decisions go unobserved, and the situations within which they take place are difficult to control in support of traditional experimental studies. For these reasons, it can be difficult to identify causal links between individual behavior and observable crime phenomena and, in turn, to assess the veracity of proposed crime event decision calculi. This chapter discusses the use of agent-based modeling (ABM), and particularly age
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Discrete Event Simulation and Modeling (Model-Based Design). CRC, 2009.

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Hadjicostis, Christoforos N. Estimation and Inference in Discrete Event Systems: A Model-Based Approach with Finite Automata. Springer International Publishing AG, 2020.

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Book chapters on the topic "Event-based models"

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Ferrari, Gian-Luigi, Roberto Guanciale, Daniele Strollo, and Emilio Tuosto. "Event-Based Service Coordination." In Concurrency, Graphs and Models. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68679-8_20.

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Pyrcz, Michael J., and Clayton V. Deutsch. "Conditioning Event-based Fluvial Models." In Geostatistics Banff 2004. Springer Netherlands, 2005. http://dx.doi.org/10.1007/978-1-4020-3610-1_14.

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Lopez, Nestor, Marianne Simonot, and Veronique Viguié Donzeau-Gouge. "Deriving Software Specifications from Event Based Models." In ZB 2000: Formal Specification and Development in Z and B. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44525-0_13.

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Dourado, Icaro Cavalcante, Salvatore Tabbone, and Ricardo da Silva Torres. "Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models." In Graph-Based Representations in Pattern Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20081-7_9.

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Malik, Qaisar A., Johan Lilius, and Linas Laibinis. "Model-Based Testing Using Scenarios and Event-B Refinements." In Methods, Models and Tools for Fault Tolerance. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00867-2_9.

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Mechler, Vincenz, and Pavel Rojtberg. "Transferring Dense Object Detection Models To Event-Based Data." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7742-8_3.

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Schimm, Guido. "Mining Most Specific Workflow Models from Event-Based Data." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44895-0_3.

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Munoz-Gama, Jorge, Josep Carmona, and Wil M. P. van der Aalst. "Hierarchical Conformance Checking of Process Models Based on Event Logs." In Application and Theory of Petri Nets and Concurrency. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38697-8_16.

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Pécot, Thierry, Charles Kervrann, Sabine Bardin, Bruno Goud, and Jean Salamero. "Patch-Based Markov Models for Event Detection in Fluorescence Bioimaging." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85990-1_12.

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Consoli, Sergio, Peter Markov, Nikolaos I. Stilianakis, Lorenzo Bertolini, Antonio Puertas Gallardo, and Mario Ceresa. "Epidemic Information Extraction for Event-Based Surveillance Using Large Language Models." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4581-4_17.

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AbstractThis paper presents a novel approach to epidemic surveillance, leveraging the power of artificial intelligence and large language models (LLMs) for effective interpretation of unstructured big data sources like the popular ProMED and WHO Disease Outbreak News. We explore several LLMs, evaluating their capabilities in extracting valuable epidemic information. We further enhance the capabilities of the LLMs using in-context learning and test the performance of an ensemble model incorporating multiple open-source LLMs. The findings indicate that LLMs can significantly enhance the accuracy
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Conference papers on the topic "Event-based models"

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Yu, Zongyou, Qiang Qu, Xiaoming Chen, and Chen Wang. "Can Large Language Models Grasp Event Signals? Exploring Pure Zero-Shot Event-based Recognition." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887714.

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Hou, Chunning, Xinzhi Wang, Xiangfeng Luo, and Shaorong Xie. "Script Event Prediction Based on Knowledge Distillation of Large Language Models." In 2024 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2024. https://doi.org/10.1109/icnsc62968.2024.10760217.

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Liu, Zhaoyang, Liang Ma, Li Guo, and Along Wang. "General event detection algorithm of audio and video based on multimodal models." In 2024 International Conference on Intelligent Robotics and Automatic Control (IRAC). IEEE, 2024. https://doi.org/10.1109/irac63143.2024.10871575.

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Ren, Yi, Tianyi Zhang, Weibin Li, DuoMu Zhou, Chenhao Qin, and FangCheng Dong. "Research on Predicting Public Opinion Event Heat Levels Based on Large Language Models." In 2024 3rd International Conference on Computer Applications Technology (CCAT). IEEE, 2024. https://doi.org/10.1109/ccat64370.2024.00013.

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Syaefudin, Mohamad Anwar, Riyanarto Sarno, Kelly Rossa Sungkono, Agus Tri Haryono, Abdullah Faqih Septiyanto, and Alfan Alfarisy. "Weather Event Classification based on Microblog Data using Bidirectional Encoder Representations from Transformer Models." In 2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI). IEEE, 2025. https://doi.org/10.1109/icocseti63724.2025.11019358.

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Sandell, Robin, Justin Torok, Srikantan S. Nagarajan, Kamalini G. Ranasinghe, Daren Ma, and Ashish Raj. "Integrating Event-Based and Biophysical Models to Predict Individual Tau Progression in Alzheimer's Disease." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981024.

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"EVENT-BASED INFORMATION SYSTEM MODELS." In 9th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002390305870590.

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Liang, Quanmin, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, and Yonghong Tian. "Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models." In MM '23: The 31st ACM International Conference on Multimedia. ACM, 2023. http://dx.doi.org/10.1145/3581783.3612462.

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Gómez, Abel, Markel Iglesias-Urkia, Aitor Urbieta, and Jordi Cabot. "A model-based approach for developing event-driven architectures with AsyncAPI." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3365438.3410948.

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Ozay, Necmiye. "Session details: Time- and Event-based Models." In HSCC'16: 19th International Conference on Hybrid Systems: Computation and Control. ACM, 2016. http://dx.doi.org/10.1145/3261113.

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Reports on the topic "Event-based models"

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Bajwa, Abdullah, and Timothy Jacobs. PR-457-17201-R02 Residual Gas Fraction Estimation Based on Measured Engine Parameters. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011558.

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Gas exchange processes in two-stroke internal combustion engines, commonly referred to as scavenging, are responsible for removing the exhaust gases in the combustion chamber and preparing the combustible fuel-oxidizer mixture that undergoes combustion and converts the chemical energy of the fuel into mechanical work. Scavenging is a complicated phenomenon because of the simultaneous introduction of fresh gases into the engine cylinder through the intake ports, and the expulsion of combustion products from the previous cycles through the exhaust ports. A non-negligible fraction of the gaseous
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Abrahamson, Norman, and Zeynep Gülerce. Regionalized Ground-Motion Models for Subduction Earthquakes Based on the NGA-SUB Database. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/ssxe9861.

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A set of global and region-specific ground-motion models (GMMs) for subduction zone earthquakes is developed based on the database compiled by the Pacific Earthquake Engineering Research Center (PEER) Next Generation Attenuation - Subduction (NGA-SUB) project. The subset of the NGA-SUB database used to develop the GMMs includes 3914 recordings from 113 subduction interface earthquakes with magnitudes varying between 5 and 9.2 and 4850 recordings from 89 intraslab events with magnitudes varying between 5 and 7.8. Recordings in the back-arc region are excluded, except for the Cascadia region. Th
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LeGrand, Sandra, Theodore Letcher, Gregory Okin, et al. Application of a satellite-retrieved sheltering parameterization (v1.0) for dust event simulation with WRF-Chem v4.1. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47116.

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Employing numerical prediction models can be a powerful tool for forecasting air quality and visibility hazards related to dust events. However, these numerical models are sensitive to surface conditions. Roughness features (e.g., rocks, vegetation, furrows, etc.) that shelter or attenuate wind flow over the soil surface affect the magnitude and spatial distribution of dust emission. To aide in simulating the emission phase of dust transport, we used a previously published albedo-based drag partition parameterization to better represent the component of wind friction speed affecting the immedi
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Michaels, Michelle, Theodore Letcher, Sandra LeGrand, Nicholas Webb, and Justin Putnam. Implementation of an albedo-based drag partition into the WRF-Chem v4.1 AFWA dust emission module. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42782.

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Employing numerical prediction models can be a powerful tool for forecasting air quality and visibility hazards related to dust events. However, these numerical models are sensitive to surface conditions. Roughness features (e.g., rocks, vegetation, furrows, etc.) that shelter or attenuate wind flow over the soil surface affect the magnitude and spatial distribution of dust emission. To aide in simulating the emission phase of dust transport, we used a previously published albedo-based drag partition parameterization to better represent the component of wind friction speed affecting the immedi
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Matus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46126.

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The US Army Corps of Engineers’s (USACE) Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) rainfall-runoff model is widely used within the research community to develop both event-based and continuous rainfall-runoff models. The soil moisture accounting (SMA) algorithm is commonly used for long-term simulations. Depending on the final model setup, 12 to 18 parameters are needed to characterize the modeled watershed’s canopy, surface, soil, and routing processes, all of which are potential calibration parameters. HEC-HMS includes optimization tools to facilitate model calibrati
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Barbau, Raphael, and Conrad Bock. SysML Extension for Logistics Modeling and Analysis (SysLMA). National Institute of Standards and Technology, 2025. https://doi.org/10.6028/nist.ir.8571.

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Many engineers use analysis tools to predict behavior or find optimal values for properties of systems built to proposed designs, informing system design work by identifying cases where a design will perform incorrectly or in suboptimal ways. Design and analysis tools encode descriptions of systems in a variety of ways that are typically inconsistent, significantly reducing the overall engineering processes due to the additional effort resolving these problems. Systems engineering addresses this by establishing a single source for system descriptions, typically expressed in the Systems Modelin
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Mangalathu, Sujith, Mehrdad Shokrabadi, and Henry Burton. Aftershock Seismic Vulnerability and Time-Dependent Risk Assessment of Bridges. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/uuue2614.

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The time-dependent seismic risk of bridges is assessed while account accounting for the effect of aftershocks and the uncertainty in the damage state after a mainshock event. To achieve this, a Markov risk-assessment framework is adopted to account for the probabilistic transition of the bridge structure through different damage states and time-dependent aftershock hazard. The methodology is applied to three typical California bridge configurations that differ only based on their era of design and construction. Era 11, Era 22, and Era 33 designations are used for the three bridges, which are d
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Maranghides, A. Initial Reconnaissance of the 2011 Wildland-Urban Interfaces Fires in Amarillo, Texas. National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.tn.1708.

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The National Institute of Standards and Technology (NIST) is working to reduce the risk of fire spread in Wildland-Urban Interface (WUI) communities. An objective of this work is to develop first generation tools for improved risk assessment and risk mitigation in WUI communities at risk from wildfires. These tools will be developed and tested through a coordinated effort that includes laboratory and field measurements, physics-based fire behavior models, and economic cost analysis models. NIST and Texas Forest Service (TFS) worked together in October 2010 to train TFS personnel in the NIST-de
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Donahue, Jennifer, Jonathan Stewart, Nicolas Gregor, and Yousef Bozorgnia. Ground-Motion Directivity Modeling for Seismic Hazard Applications. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/gphh9609.

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We reviewed five models for modifying the natural log mean and within-event standard deviation of ground-motion models (GMMs) to account for directivity effects in the near-fault environment. We found broad consistency for strike–slip ruptures, with positive and negative directivity effects for cases of rupture towards and away from a site of interest, respectively. We found substantial divergence among directivity models for reverse slip, with some providing maximum directivity for sites positioned to experience the peak alignment of rupture direction with the fault-slip direction (this occur
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Garcia, Eloy, Yongcan Cao, and David W. Casbeer. Model-Based Event-Triggered Multi-Vehicle Coordinated Tracking with Communication Delays. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada582413.

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