Relevant bibliographies by topics / Dynamic user modeling

Contents

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

Academic literature on the topic 'Dynamic user modeling'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Dynamic user modeling"

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Yin, Hongzhi, Bin Cui, Ling Chen, Zhiting Hu, and Xiaofang Zhou. "Dynamic User Modeling in Social Media Systems." ACM Transactions on Information Systems 33, no. 3 (2015): 1–44. http://dx.doi.org/10.1145/2699670.

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Huang, Ko-Hsun, Yi-Shin Deng, and Ming-Chuen Chuang. "Static and Dynamic User Portraits." Advances in Human-Computer Interaction 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/123725.

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User modeling and profiling has been used to evaluate systems and predict user behaviors for a considerable time. Models and profiles are generally constructed based on studies of users’ behavior patterns, cognitive characteristics, or demographic data and provide an efficient way to present users’ preferences and interests. However, such modeling focuses on users’ interactions with a system and cannot support complicated social interaction, which is the emerging focus of serious games, educational hypermedia systems, experience, and service design. On the other hand, personas are used to port
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Ge, Qian, Daisuke Fukuda, Ke Han, and Wenjing Song. "Reservoir-based surrogate modeling of dynamic user equilibrium." Transportation Research Procedia 38 (2019): 772–91. http://dx.doi.org/10.1016/j.trpro.2019.05.040.

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Ge, Qian, Daisuke Fukuda, Ke Han, and Wenjing Song. "Reservoir-based surrogate modeling of dynamic user equilibrium." Transportation Research Part C: Emerging Technologies 113 (April 2020): 350–69. http://dx.doi.org/10.1016/j.trc.2019.10.010.

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Lu, Chung-Cheng, and Hani S. Mahmassani. "Modeling User Responses to Pricing." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 124–35. http://dx.doi.org/10.3141/2085-14.

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In a previous contribution, the authors showed how to incorporate user heterogeneity in determining equilibrium route choices in a network in response to pricing. Presented here is a generalization of that framework to incorporate joint consideration of route and departure time as well as heterogeneity in a wider range of behavioral characteristics. A multicriterion simultaneous route and departure time user equilibrium (MSRDUE) model is presented, along with a simulation-based algorithm intended for practical network applications. The model explicitly considers heterogeneous users with differ
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He, Tongze, Caili Guo, Yunfei Chu, Yang Yang, and Yanjun Wang. "Dynamic user modeling for expert recommendation in community question answering." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7281–92. http://dx.doi.org/10.3233/jifs-200729.

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Community Question Answering (CQA) websites has become an important channel for people to acquire knowledge. In CQA, one key issue is to recommend users with high expertise and willingness to answer the given questions, i.e., expert recommendation. However, a lot of existing methods consider the expert recommendation problem in a static context, ignoring that the real-world CQA websites are dynamic, with users’ interest and expertise changing over time. Although some methods that utilize time information have been proposed, their performance improvement can be limited due to fact that they fai
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Janarthanam, Srinivasan, and Oliver Lemon. "Adaptive Generation in Dialogue Systems Using Dynamic User Modeling." Computational Linguistics 40, no. 4 (2014): 883–920. http://dx.doi.org/10.1162/coli_a_00203.

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We address the problem of dynamically modeling and adapting to unknown users in resource-scarce domains in the context of interactive spoken dialogue systems. As an example, we show how a system can learn to choose referring expressions to refer to domain entities for users with different levels of domain expertise, and whose domain knowledge is initially unknown to the system. We approach this problem using a three step process: collecting data using a Wizard-of-Oz method, building simulated users, and learning to model and adapt to users using Reinforcement Learning techniques. We show that
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Ha, Taehyun, Bjorn Beijnon, Sangyeon Kim, Sangwon Lee, and Jang Hyun Kim. "Examining user perceptions of smartwatch through dynamic topic modeling." Telematics and Informatics 34, no. 7 (2017): 1262–73. http://dx.doi.org/10.1016/j.tele.2017.05.011.

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Wang, Lili, Chenghan Huang, Ying Lu, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi. "Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks." ACM Transactions on Information Systems 40, no. 3 (2022): 1–21. http://dx.doi.org/10.1145/3472955.

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Complex user behavior, especially in settings such as social media, can be organized as time-evolving networks. Through network embedding, we can extract general-purpose vector representations of these dynamic networks which allow us to analyze them without extensive feature engineering. Prior work has shown how to generate network embeddings while preserving the structural role proximity of nodes. These methods, however, cannot capture the temporal evolution of the structural identity of the nodes in dynamic networks. Other works, on the other hand, have focused on learning microscopic dynami
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Kim, Sung-Hwan, and Hwan-Gue Cho. "User–Topic Modeling for Online Community Analysis." Applied Sciences 10, no. 10 (2020): 3388. http://dx.doi.org/10.3390/app10103388.

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Analyzing user behavior in online spaces is an important task. This paper is dedicated to analyzing the online community in terms of topics. We present a user–topic model based on the latent Dirichlet allocation (LDA), as an application of topic modeling in a domain other than textual data. This model substitutes the concept of word occurrence in the original LDA method with user participation. The proposed method deals with many problems regarding topic modeling and user analysis, which include: inclusion of dynamic topics, visualization of user interaction networks, and event detection. We c
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Dissertations / Theses on the topic "Dynamic user modeling"

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Paiva, Ana Maria Severino de Almeida e. "Dynamic user and learner modeling." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309025.

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Vythoulkas, Petros C. "Modelling dynamic stochastic user equilibrium for urban road networks." Thesis, Cranfield University, 1991. http://hdl.handle.net/1826/3937.

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In this study a dynamic assignment model is developed which estimates travellers' route and departure time choices and the resulting time varying traffic patterns during the morning peak. The distinctive feature of the model is that it does not restrict the geometry of the network to specific forms. The proposed framework of analysis consists of a travel time model, a demand model and a demand adjustment mechanism. Two travel time models are proposed. The first is based on elementary relationships from traffic flow theory and provides the framework for a macroscopic simulation model which calc
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Hawalah, Ahmad. "Modelling dynamic and contextual user profiles for personalized services." Thesis, University of Essex, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573021.

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During the last few years the Internet and the WWW have become a major source of information as well as an essential platform for mass media, communication, e-commerce and entertainment. This expansion has led to information overload so finding or searching for relevant information has become more and more challenging. Personalization and recommender systems have been widely used during the past few years to overcome this information overload problem. The main objective of these systems is to learn user interests and then provide a personalized experience to each user accordingly. However; as
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Clark, James Dean 1964. "A framework for modeling and simulating spatial dynamics." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277073.

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This work develops a conceptual framework for modeling and simulating spatial dynamics. The framework links modeling of time variability with spatial variability. With current modeling in environmental analysis taking place at the discrete level (modeling fire, hiker behavior, or watershed run-off), it is the task of this thesis to provide a conceptual framework for integration of these discrete components in a systems like simulation environment for modeling their interactions through time. It explores the utility of the discrete event simulation framework developed by Zeigler (1976, 1984) fo
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Al, Alshaikh Modhi. "Dynamic multi-concept user profile modelling in research paper recommender systems." Thesis, University of Brighton, 2018. https://research.brighton.ac.uk/en/studentTheses/8860a703-0d0b-49ef-aa00-ecece40d21d8.

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The internet and the digital libraries are major sources of information for researchers, and there is an enormous growth of information on these sources. A large number of research papers are available which leads to the information overload problem and hence finding research papers that are related to users’ interests become difficult and time consuming. The field of recommender systems aims to solve the information overload problem by filtering information and providing users with relevant results. Although the current recommender systems provide recommendation services to users, different l
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Hořák, Jan. "Grafický editor simulačních modelů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235987.

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This paper contains brief introduction into modeling and simulation using Discrete Event Specified System (DEVS) formalism. It defines basic models (atomic and coupled DEVS) and shows how they are simulated. Examples of derived DEVS formalism like parallel DEVS or DESS are also presented. It is described how to create DEVS models using graphic modeling software and advantages and disadvantages of this approach. A short summary of known programs are also covered. Storing models in the XML language, validation of XML document and transformation capabilities by XSLT are discussed. The main sectio
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Tepe, Emre. "Statistical Modeling and Simulation of Land Development Dynamics." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462631559.

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Boggs, Christopher Matthew. "The Use of Simulation to Expedite Experimental Investigations of the Effect of High-Performance Shock Absorbers." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26108.

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Successful race teams rely heavily on track testing to search for the ideal suspension setup. As more restrictions are placed on the amount of on-track testing by major racing sanctioning bodies, such as NASCAR, teams have increased their attention to alternate testing methods to augment their track data and better understand the dynamics of their racecars. One popular alternate to track testing is 8-post dynamic shaker rig testing. Eight-post rig testing gives the team a better understanding of the vehicle's dynamics before they arrive at the race track, allowing them to use their limited tra
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Patnaik, Debprakash. "Multiple Uses of Frequent Episodes in Temporal Process Modeling." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/28413.

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This dissertation investigates algorithmic techniques for temporal process discovery in many domains. Many different formalisms have been proposed for modeling temporal processes such as motifs, dynamic Bayesian networks and partial orders, but the direct inference of such models from data has been computationally intensive or even intractable. In this work, we propose the mining of frequent episodes as a bridge to inferring more formal models of temporal processes. This enables us to combine the advantages of frequent episode mining, which conducts level wise search over constrained spaces, w
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Jenkins, Jerry W. "Novel efficient simulation techniques for use in molecular modeling." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/11238.

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Books on the topic "Dynamic user modeling"

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J, Maffeo Robert, Schwartz S, and United States. National Aeronautics and Space Administration., eds. Engine structures analysis software: Component specific modeling (COSMO). National Aeronautics and Space Administration, 1994.

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Hagoort, M. J. The neighbourhood rules: Land-use interactions, urban dynamics and cellular automata modelling. Universiteit Utrecht, 2006.

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Kogan, Efim. Ordinary differential equations and calculus of variations. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1058922.

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The textbook contains theoretical information in a volume of the lecture course are discussed in detail and examples of typical tasks and test tasks and tasks for independent work. 
 Designed for students enrolled in directions of preparation 15.03.03 "Applied mechanics" 01.03.02 "mathematics" (specialization "Mathematical modeling"), major 23.05.01 "Land transport and technological means" (specialization "Dynamics and strength of transport and technological systems"). Can be used by teachers for conducting practical classes.
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Kolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.

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The textbook presents mathematical research methods and models of economic objects and processes designed for the analysis and prediction of economic factors and develop control solutions as in the deterministic conditions, and in conditions of some uncertainty, and dynamics. Each Chapter of the book consists of a theoretical framework, discussed in detail several examples and tasks for independent work. As workbench simulation uses standard office the program Excel and Mathcad. Tutorial focused on independent performance of students individual tasks on disciplines "Economic-mathematical metho
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Butusov, Oleg, and Valeriy Meshalkin. Fundamentals of informatization and mathematical modeling of ecological systems. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1477254.

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The concept, theory and methodological foundations of environmental informatics are presented, the tools of informatization and digitalization of technogenic-natural systems are described, methods of mathematical modeling of ecological systems in industrial areas are considered. The main methods of ecological informatics, methods of mathematical and computer modeling of quasi-static (long-term) dynamics of ecosystems are described. The theoretical foundations of calculating the "dose-effect" dependencies as the main indicators of the degree of impact of industrial emissions on the environment
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Zhukova, Galina. Mathematical methods for management decisions. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1084987.

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The purpose of this manual is to help students to master basic concepts and research methods used in the theory of optimal control. The foundations of mathematical modeling. Systematic mathematical methods for managerial decision-making in linear, nonlinear and dynamic problems of optimal socio-economic processes. 
 Each section contains numerous examples of the application of these methods to solve applied problems. Much attention is paid to comparison of the proposed methods, a proper choice of study design problems, case studies and analysis of complex situations that arise in the stud
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United States. Congress. House. Committee on Government Reform. Subcommittee on National Security, Emerging Threats, and International Relations. Following toxic clouds: Science and assumptions in plume modeling : hearing before the Subcommittee on National Security, Emerging Threats and International Relations of the Committee on Government Reform, House of Representatives, One Hundred Eighth Congress, first session, June 2, 2003. U.S. G.P.O., 2004.

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Alyukov, Sergey. Approximation of piecewise linear and generalized functions. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2104876.

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The monograph is devoted to piecewise linear and generalized functions. They are widely used in various fields of research: in the theory of signal transmission and transformation, quantum field theory, control theory, problems of nonlinear dynamics, structural mechanics, semiconductor theory, economic applications, medicine, description of impulse effects and many others. When creating mathematical models, in some cases it is necessary to approximate these functions using analytical expressions, but not in the form of linear combinations, as in known methods, but in the form of attachments, c
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Dynamic Land Usecover Change Modelling Geosimulation And Multiagentbased Modelling. Springer, 2011.

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Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Empirically Detecting Causality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0008.

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Phenomenological models mathematically describe relationships among empirically observed phenomena without attempting to explain underlying mechanisms. Within the context of NLTS, phenomenological modeling goes beyond phase space reconstruction to extract equations governing real-world system dynamics from a single or multiple observed time series. Phenomenological models provide several benefits. They can be used to characterize the dynamics of variable interactions; for example, whether an incremental increase in one variable drives a marginal increase/decrease in the growth rate of another,
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Book chapters on the topic "Dynamic user modeling"

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Moinard, Claudine, and Michelle Joab. "Dynamic Assessment for Operator Training." In User Modeling. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_26.

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Schäfer, Ralph, and Thomas Weyrath. "Assessing Temporally Variable User Properties With Dynamic Bayesian Networks." In User Modeling. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_38.

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Trewin, Shari, and Helen Pain. "Dynamic Modelling of Keyboard Skills: Supporting Users With Motor Disabilities." In User Modeling. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_16.

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Bares, William H., and James C. Lester. "Cinematographic User Models for Automated Realtime Camera Control in Dynamic 3D Environments." In User Modeling. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_23.

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Carmien, Stefan. "MAPS: Dynamic Scaffolding for Independence for Persons with Cognitive Impairments." In User Modeling 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_58.

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Oliver, Nuria, and Eric Horvitz. "A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities." In User Modeling 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_26.

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Hinbarji, Zaher, Rami Albatal, and Cathal Gurrin. "Dynamic User Authentication Based on Mouse Movements Curves." In MultiMedia Modeling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14442-9_10.

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Ullrich, Carsten, Tianxiang Lu, and Erica Melis. "Just-in-Time Adaptivity through Dynamic Items." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02247-0_39.

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Sun, Zhengxing, Bin Li, Qiang Wang, and Guihuan Feng. "Dynamic User Modeling for Sketch-Based User Interface." In Technologies for E-Learning and Digital Entertainment. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11736639_157.

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Ortiz Laguna, Javier, Angel García Olaya, and Daniel Borrajo. "A Dynamic Sliding Window Approach for Activity Recognition." In User Modeling, Adaption and Personalization. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22362-4_19.

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Conference papers on the topic "Dynamic user modeling"

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Hwang, Jungmin, and Hakyeon Lee. "A knowledge tracing-like approach to modeling dynamic user preferences." In 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2024. https://doi.org/10.1109/ieem62345.2024.10857049.

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Lei, Jianyun, Rong Jia, Meng Xia, Huili Zhang, and Weili Pang. "Modeling User Interests Based on Dynamic Graph Convolution and Temporal-Aware Attention." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11020437.

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Alexandropoulos, I., V. Rentoula, D. Fragkos, N. Gkatzios, and H. Koumaras. "An AI-Assisted User-Intent 6G System for Dynamic Throughput Provision." In 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 2024. https://doi.org/10.1109/camad62243.2024.10942858.

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Koukpaizan, Nicholson, Jagadeesh Movva, Marin Butori, and Marilyn Smith. "Accurate Real-Time Extensible Simulations of Dynamic Bodies." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12109.

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A model-based simulation technique has recently been developed and is being transitioned for use in two-body aerodynamic-dynamic problems of interest (slung loads, airdrops) to the vertical lift community. This model, the Georgia Tech Aerodynamics for Bluff Bodies (GTABB), has been shown to accurately predict the behavior of rectangular loads, validated with both computational fluid dynamics and flight test. This paper presents additional validation of the GTABB solver and its six degree of freedom dynamic modeling tool (6DOF) with flight test on new slung load configurations that are connecte
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Abras, Jennifer, and Nathan Hariharan. "A Dual-Step Deep Learning-Based Surrogate Model for Dynamic Stall Predictions." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1325.

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In the field of aerodynamics, there is a growing need for rapid load prediction in engineering applications. Surrogate modeling offers a promising solution, providing faster results compared to high-fidelity computational models. This study focuses on a Machine Learning (ML) framework tailored for surrogate modeling, specifically for integrated aerodynamic load predictions in aircraft design. Central to this framework is a Deep Neural Network (DNN) component capable of handling both steady-state and fluctuating aerodynamics. A key challenge for surrogate models lies in maintaining prediction a
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Cooper, Jared, Joseph Horn, Venkatasubramani S., and Yande Liu. "Vehicle Modeling for Flight Test Measurements of Ship Airwake Disturbances." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11504.

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This paper describes modeling of small-scale rotorcraft using system identification and first-principles techniques. The vehicle model is used as part of a methodology to empirically validate coupled ship airwake and rotor wake computational fluid dynamics disturbance models used in Virtual Dynamic Interface (VDI) simulations with flight test data. The validation approach uses a gust identification algorithm to estimate disturbance characteristics from flight data. The algorithm uses a model of the aircraft dynamics, and therefore, accurate models of system dynamics are desirable. Several vehi
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Huang, Yun, Michael Yudelson, Shuguang Han, Daqing He, and Peter Brusilovsky. "A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning." In UMAP '16: User Modeling, Adaptation and Personalization Conference. ACM, 2016. http://dx.doi.org/10.1145/2930238.2930258.

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Olaleke, Oluwafemi, Ivan Oseledets, and Evgeny Frolov. "Dynamic Modeling of User Preferences for Stable Recommendations." In UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization. ACM, 2021. http://dx.doi.org/10.1145/3450613.3456830.

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Wei, Changjiang, and Xinglai Ren. "Modeling User-System Interaction in Use Cases with Dynamic Views." In 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA). IEEE, 2008. http://dx.doi.org/10.1109/paciia.2008.93.

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Luo, Jiyun. "Modeling User Feedback in Dynamic Search and Browsing." In SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval. ACM, 2016. http://dx.doi.org/10.1145/2911451.2911483.

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Reports on the topic "Dynamic user modeling"

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica
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Equihua, M., and O. Perez-Maqueo. Mathematical Modeling and Conservation. American Museum of Natural History, 2010. http://dx.doi.org/10.5531/cbc.ncep.0154.

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Formal models are indispensable tools in natural resource management and in conservation biology. Explicit modeling can be a helpful tool for studying these systems, communicating across disciplines, and integrating varying viewpoints of numerous stakeholders. This module demonstrates how to explicitly construct models as alternative representations to help interpret and understand nature. Through a synthesis and two exercises, it describes the general context of scientific modeling (i.e., use and types of models), and allows students to practice building a model by evaluating the relationship
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Golub, Alla, Thomas Hertel, and Brent Sohngen. Land Use Modeling in Recursively-Dynamic GTAP Framework. GTAP Working Paper, 2008. http://dx.doi.org/10.21642/gtap.wp48.

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*Chapter 10 of the forthcoming book "Economic Analysis of Land Use in Global Climate Change Policy," edited by Thomas W. Hertel, Steven Rose, and Richard S.J. Tol The goal of this work is to investigate land-use change at the global scale over the long run – particularly in the context of analyzing the fundamental drivers behind land-use related GHG emissions. For this purpose, we identify the most important drivers of supply and demand for land. On the demand side, we begin with a dynamic general equilibrium (GE) model that predicts economic growth in each region of the world, based on exogen
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Lai, Chin-Ta, and Joel Conte. Dynamic Modeling of the UC San Diego NHERI Six-Degree-of-Freedom Large High-Performance Outdoor Shake Table. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/jsds5228.

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The UC San Diego Large High-Performance Outdoor Shake Table (LHPOST), which was commissioned on October 1, 2004 as a shared-use experimental facility of the National Science Foundation (NSF) Network for Earthquake Engineering Simulation (NEES) program, was upgraded from its original one degree-of-freedom (LHPOST) to a six degree-of-freedom configuration (LHPOST6) between October 2019 and April 2022. The LHPOST6 is a shared-use experimental facility of the NSF Natural Hazard Engineering Research Infrastructure (NHERI) program. A mechanics-based numerical model of the LHPOST6 able to capture the
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Hawley, Owston, and Thorson. PR-015-13610-R01 Effect of Upstream Piping Configuration on Ultrasonic Meter Bias - Flow Validation. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010033.

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This research demonstrated the ability of a Computational Fluid Dynamics (CFD) modeling approach to predict the severity of velocity profile disturbances in two different header configurations with AGA-9 default meter runs. The CFD model was also used to predict the flow measurement error based on the ultrasonic path geometry from four commercially-available ultrasonic flow meters. In addition to the CFD modeling, this project experimentally tested the same two header configurations in a natural gas flow loop. The results from the experimental testing were used to validate the CFD model.
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Perez-Rivera, Anthony, Jonathan Trovillion, Peter Stynoski, and Jeffrey Ryan. Simulated barge impacts on fiber-reinforced polymers (FRP) composite sandwich panels : dynamic finite element analysis (FEA) to develop force time histories to be used on experimental testing. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48080.

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The purpose of this study is to evaluate the dynamic response of fiber-reinforced polymer (FRP) composite sandwich panels subjected to typical barge impact masses and velocities to develop force time histories that can be used in controlled experimental testing. Dynamic analyses were performed on FRP composite sandwich panels using the finite element method software Abaqus/Explicit. The “traction-separation” law in the Abaqus software is used to define the cohesive surface interaction properties to evaluate the damage between FRP composite laminate layers as well as the core separation within
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Соловйов, Володимир Миколайович, Наталя Володимирівна Моісеєнко, and Олена Юріївна Тарасова. Complexity theory and dynamic characteristics of cognitive processes. Springer, 2020. http://dx.doi.org/10.31812/123456789/4143.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prog
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Pradhan, Nawa Raj, Charles Wayne Downer, and Sergey Marchenko. User guidelines on catchment hydrological modeling with soil thermal dynamics in Gridded Surface Subsurface Hydrologic Analysis (GSSHA). Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48331.

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Climate warming is expected to degrade permafrost in many regions of the world. Degradation of permafrost has the potential to affect soil thermal, hydrological, and vegetation regimes. Projections of long-term effects of climate warming on high-latitude ecosystems require a coupled representation of soil thermal state and hydrological dynamics. Such a coupled framework was developed to explicitly simulate the soil moisture effects of soil thermal conductivity and heat capacity and its effects on hydrological response. In the coupled framework, the Geophysical Institute Permafrost Laboratory (
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Russ, Emily, Darixa Hernandez-Abrams, Brook Herman, et al. Mediated model development for coastal marsh management in the Chesapeake Bay. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49565.

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The purpose of this technical note is to develop a conceptual model that describes the critical processes, stressors, and interactions that affect coastal marsh dynamics within the Chesapeake Bay, as identified by subject matter experts, and then link those factors to specific management actions. Managing coastal marshes within Chesapeake Bay involves multiple stakeholders across federal, state, local, and nongovernmental agencies. Reaching consensus among large stakeholder groups can be difficult, since each has their own perspective and requirements for management. Mediated modeling is a tec
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Furman, Alex, Jan Hopmans, Shmuel Assouline, Jirka Simunek, and Jim Richards. Soil Environmental Effects on Root Growth and Uptake Dynamics for Irrigated Systems. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7592118.bard.

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Root water uptake is perhaps the most important unknown in the mass balance of hydrological and agricultural systems. The understanding and the ability to predict root uptake and the way it is influence by environmental conditions has great potential in increasing water and fertilizer use efficiency and allowing better control of water and contaminant leach towards groundwater. This BARD supported research is composed of several components, including a) intensive laboratory work for the quantification of root uptake and the way it is controlled by environmental conditions; b) development of to
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