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arXiv 2025年

作者： Yilmaz, Baris Akagündüz, Erdem Tileylioglu, Salih Dept. of Modeling and Simulation Graduate School of Informatics Middle East Technical University Ankara Turkey Civil Engineering Department Kadir Has University Istanbul Turkey

This study explores the use of deep learning for predicting the time averaged shear wave velocity in the top 30 m of the subsurface (Vs30) at strong motion recording stations in Türkiye. Vs30 is a key parameter in site characterization and, as a result for seismic hazard assessment. However, it is often unavailable due to the lack of direct measurements and is therefore estimated using empirical correlations. Such correlations however are commonly inadequate in capturing complex, site-specific variability and this motivates the need for data-driven approaches. In this study, we employ a hybrid deep learning model combining convolutional neural networks (CNNs) and long short-term memory (LSTM) networks to capture both spatial and temporal dependencies in strong motion records. Furthermore, we explore how using different parts of the signal influence our deep learning model. Our results suggest that the hybrid approach effectively learns complex, nonlinear relationships within seismic signals. We observed that an improved P-wave arrival time model increased the prediction accuracy of Vs30. We believe the study provides valuable insights into improving Vs30 predictions using a CNN-LSTM framework, demonstrating its potential for improving site characterization for seismic studies. Our codes are available via this repo: https://***/brsylmz23/CNNLSTM_DeepEQ © 2025, CC BY.

关键词： Shear waves

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A mathematical model for representing farmer decision processes

A mathematical model for representing farmer decision proces...

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Summer Computer simulation Conference, SCSC 2014, Part of the 2014 Summer simulation Multiconference, SummerSim 2014

作者： Vegesana, Kasi Bharath McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University United States

ISBN: (纸本)9781632667335

This paper presents a mathematical modeling technique that allows for formulating a farmer decision problem. We use fuzzy logic and binary integer programming respectively to represent the factors and decision utilities in the problem. We will briefly look at the data requirements for this model. The techniques used in determining the fuzzy rule base will be discussed. We will show the application of artificial neural networks for determining the rule base in our model. A mathematical representation of the system will be created, which can act as an approximation for any problem formulation. Finally, we will use all these techniques on a sample problem, which uses simulated data.

关键词： Decision support systems

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Incorporating reflection for real-time multi-configuration haptic-interactive virtual environments

Incorporating reflection for real-time multi-configuration h...

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Summer Computer simulation Conference, SCSC 2014, Part of the 2014 Summer simulation Multiconference, SummerSim 2014

作者： Obeid, Mohammad F. Rechowicz, Krzysztof J. McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University United States

ISBN: (纸本)9781632667335

Real-time mirror reflection is employed in many virtual reality applications to achieve visuo-haptic collocation. Its use, however, necessitates adjustments to the original model as well any used input devices to compensate for changes due to image reversion. This paper introduces a design and implementation of a generic configuration component for virtual environments that adjusts image characteristics and haptic interfaces to accommodate such setups while preserving the properties and features of the original model. Furthermore, this work executes running multiple display viewports for the same virtual environment synchronously. This work accomplishes a significant step in the development of a surgical simulator for the Nuss Procedure surgery performed to correct Pectus Excavatum, a congenital deformity of the anterior chest wall.

关键词： Virtual reality

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A strategy for simulating and validating the Nuss procedure for the minimally invasive correction of pectus excavatum

A strategy for simulating and validating the Nuss procedure ...

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2011 4th International Conference on Biomedical engineering and Informatics, BMEI 2011

作者： Rechowicz, Krzysztof J. McKenzie, Frederic D. Modeling Simulation and Visualization Engineering Dept. Old Dominion University Norfolk VA United States

ISBN: (纸本)9781424493524

Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally invasive surgery for correcting pectus excavatum (PE) a congenital chest wall deformity. Although this procedure is routinely performed, the outcome depends mostly on the correct placement of the bar. It would be beneficial if a surgeon had a chance to practice and review possible strategies for placement of the corrective bar and the associated appearance of the chest. Therefore, we propose a strategy for the development of a Nuss procedure surgical trainer and planner, taking into account the biomechanical properties of the PE ribcage, emerging trends in surgical planners, deformable models, and visualization techniques. Additionally, we present the initial results of before and after surgery surface scans analysis as a means to validate results, comparison of an average chest shape with post-operative to quantify the outcome of the surgery, and the hardware setup of the simulator. © 2011 IEEE.

关键词： Deformation

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Optimal crop selection and scheduling using a generic crop growth model and integer programming model 14

Optimal crop selection and scheduling using a generic crop g...

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14th International Conference on modeling and Applied simulation, MAS 2015

作者： Vegesana, Kasi Bharath McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University NorfolkVA United States

ISBN: (纸本)9788897999508

Crop growth programs and crop optimizers act as important decision support tools in selecting crops and influencing farmer decision process. However the crop optimizers do not always include the crop growth models while selecting the best possible crops. In this paper we will present the equations used to model a generic crop growth model and couple it with an optimal crop scheduler, to select the best possible sequence of crops. The scheduler aims to achieve various objectives like maximizing performance, maximizing economic gain and minimizing environmental impact. Each objective has three different configurations with regards to the crop rotation and crop growth period. The results will be visualized using a Gantt chart to show the scheduling of the crops.

关键词： Decision support systems

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An agent based model to simulate farmer decision process

An agent based model to simulate farmer decision process

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Agent-Directed simulation Symposium, ADS 2015, Part of the 2015 Spring simulation Multi-Conference, SpringSim 2015

作者： Vegesana, Kasi Bharath McKenzie, Frederic D Dept. of Modeling Simulation and Visualization Engineering Old Dominion University NorfolkVA23529 United States

ISBN: (纸本)9781510810600

This paper presents an implementation of a mathematical model for simulating farmer decision processes. It is an Agent Based process that utilizes 'IF - THEN' rules in a Fuzzy Logic System, and integer programming. This model was applied on Farm Accountancy and Data Network (FADN) data for Piedmonte, Italy. We will examine the design process in detail, and evaluate our initial results. Finally, we will discuss limitations and future applications of the model. Copyright ©2015 Society for modeling & simulation International (SCS).

关键词： Fuzzy logic

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HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time

arXiv

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arXiv 2025年

作者： Pawusch, Louisa Scheurer, Stefania Nowak, Wolfgang Maxwell, Reed University of Stuttgart Institute for Modeling Hydraulic and Environmental Systems Stuttgart Center for Simulation Science Stuttgart Germany Princeton University Dept. of Civil and Environmental Engineering PrincetonNJ United States Princeton University Dept. of Civil and Environmental Engineering High Meadows Environmental Institute Integrated GroundWater Modeling Center PrincetonNJ United States

Finding the initial dept.-to-water table (DTWT) configuration of a catchment is a critical challenge when simulating the hydrological cycle with integrated models, significantly impacting simulation outcomes. Traditionally, this involves iterative spin-up computations, where the model runs under constant atmospheric settings until steady-state is achieved. These so-called model spin-ups are computationally expensive, often requiring many years of simulated time, particularly when the initial DTWT configuration is far from steady state. To accelerate the model spin-up process we developed HydroStartML, a machine learning emulator trained on steady-state DTWT configurations across the contiguous United States. HydroStartML predicts, based on available data like conductivity and surface slopes, a DTWT configuration of the respective watershed, which can be used as an initial DTWT. Our results show that initializing spin-up computations with HydroStartML predictions leads to faster convergence than with other initial configurations like spatially constant DTWTs. The emulator accurately predicts configurations close to steady state, even for terrain configurations not seen in training, and allows especially significant reductions in computational spin-up effort in regions with deep DTWTs. This work opens the door for hybrid approaches that blend machine learning and traditional simulation, enhancing predictive accuracy and efficiency in hydrology for improving water resource management and understanding complex environmental interactions. © 2025, CC BY-NC-ND.

关键词： Water management

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An architecture to support integrated manikin-based simulations

An architecture to support integrated manikin-based simulati...

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47th Summer Computer simulation Conference, SCSC 2015, Part of the 2015 Summer simulation Multi-Conference, SummerSim 2015

作者： Leathrum, James F. Mielke, Roland R. Audette, Michel McKenzie, Frederick Armstrong, Robert K. Miller, Geoffrey T. Cross, Andrew E. Scerbo, Mark W. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University United States Sentara Center for Simulation and Immersive Learning Eastern Virginia Medical School United States Dept. of Psychology Old Dominion University United States

ISBN: (纸本)9781510810594

A radically new approach to the design and implementation of high-technology, computer-driven manikin-based simulation environments for medical training is proposed. The approach utilizes a novel, component-based manikin hardware architecture currently under research for the U.S. military. A new distributed software architecture is proposed in this paper that facilitates interoperability among manikin components and provides the potential to easily integrate other real or virtual devices normally present in a real medical facility. © 2015 Society for modeling & simulation International (SCS).

关键词： Interoperability

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Towards Semi-Automatic Model Specification

Towards Semi-Automatic Model Specification

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2021 Winter simulation Conference, WSC 2021

作者： Shuttleworth, David Padilla, Jose J. Old Dominion University Modeling Simulation and Visualization Eng. Dept. NorfolkVA23529 United States Virginia Modeling Analysis and Simulation Center Old Dominion University SuffolkVA23435 United States

ISBN: (纸本)9781665433112

This paper presents a natural language understanding (NLU) approach to transition a description of a phenomenon towards a simulation specification. As multidisciplinary endeavors using simulations increase, the need for teams to better communicate and make non-modelers active participants on the process increases. We focus on semi-automating the model conceptualization process towards the creation of a specification as it is one of the most challenging steps in collaborations. The approach relies on NLU processing of narratives, create a model that captures concepts and relationships, and finally provide a specification of a simulation implementation. An initial definition set and grammatical rules are proposed to formalize this process. These are followed by a Design of Experiments (DoE) to test the NLU model accuracy and a test case that generates Agent-Based Model (ABM) conceptualizations and specifications. We provide a discussion on the advantages and limitations of using NLUs for model conceptualization and specification processes. © 2021 IEEE.

关键词： Specifications

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A Mathematical Model for Representing Farmer Decision Processes 14

A Mathematical Model for Representing Farmer Decision Proces...

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Computer simulation Conference

作者： Kasi Bharath Vegesana Frederic D. McKenzie Dept. of Modeling Simulation and Visualization Engineering Old Dominion University

ISBN: (纸本)9781632667335

关键词： Decision support system Fuzzy logic Binary integer programming Artificial neural networks

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