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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8678卷 70-79页

作者： Obeid, Mohammad F. Chemlal, Salim Rechowicz, Krzysztof J. Heo, Eun-Sil Kelly, Robert E. McKenzie, Frederic D. Dept. of Modeling Simulation and Visualization Engineering Old Dominion University Norfolk United States Dept. of Electrical and Computer Engineering Old Dominion University Norfolk United States Virginia Modeling Analysis and Simulation Center Old Dominion University Norfolk United States Pediatric Surgery Children’s Hospital of The King’s Daughters and Eastern Virginia Medical School Norfolk United States

With rapid development of minimally invasive surgery, proficiency with intricate skills is becoming a greater concern. Consequently, the use of out-of-operating room training has increased significantly through employing high-fidelity and anatomically-correct graphics and haptic interfaces in virtual reality simulations. The effort in developing surgical simulators for generic minimally invasive procedures is still, however, suboptimal for many haptic implementations. A main aspect of such simulations is the pivoting behavior of the surgical tool realized using the haptic device. This paper investigates the limitation of a fullyvirtual implementation of the pivot and the ability to augment haptic interfaces to achieve a natural representation of forces. The design and implementation of two surgical tool pivoting techniques are introduced. Furthermore, a phantom is constructed from synthesized components to be used to measure and reproduce realistic mechanical properties of the anatomical model and pivot behavior. © Springer International Publishing Switzerland 2014.

关键词： Augmented reality

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Biochemical mathematical modeling with Modelica and the BioChem library 6

Biochemical mathematical modeling with Modelica and the BioC...

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6th International Conference APLIMAT 2007

作者： Fritzson, Peter Ulfhielm, Erik Belic, Ales Fransson, Martin Grèen, Henrik PELAB - Programming Environment Lab. Dept. of Computer and Information Science Linköpings Universitet LinköpingSE-581 83 Sweden Laboratory for Modeling Simulation and Control Faculty of Electrical Engineering University of Ljubljana LjubljanaSI-1000 Slovenia Clinical Pharmacology Dept. of Medicine and Care Linköpings Universitet LinköpingSE-581 85 Sweden

ISBN: (纸本)9788096956265

Considering the large amounts of data that is nowadays produced in the biochemistry (functional genomics) it is difficult to extract the information from the measurements. There is currently also a great interest in the development of novel analytical technologies for rapid screening of disease symptoms in pharmaceutical and clinical applications. modeling and simulation can provide a useful help in understanding the relations of the measured substances and to minimize the need for measurements. The BioChem library presented here is the first free Modelica library available for mathematical modeling of biochemical processes. Three examples are shown to illustrate the library. First, a simple insulin model is presented. Then a simplified model of cholesterol together with simulations are shown. Next, a simple drug model together with parameter estimation in NONMEN are presented. The BioChem library allows for fast and end-user friendly modeling of biomedical systems. The graphical user interface provides graphics similar to that used in the description of metabolic pathways in biochemistry.

关键词： Cholesterol

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Integration of a Multigrid ODE Solver into an Open Medical simulation Framework

Integration of a Multigrid ODE Solver into an Open Medical S...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Xunlei Wu Jianhua Yao Andinet Enquobahrie Huai-Ping Lee Michel A. Audette SAS Cary NC RAD& IS at NIH Dept. of Modeling Simulation and Visualization Engineering Old Dominion University Norfolk VA 23529

ISBN: (纸本)9781424441198

In this paper, we present the implementation of a Multigrid ODE solver in SOFA framework. By combining the stability advantage of coarse meshes and the transient detail preserving virtue of fine meshes, Multigrid ODE solver computes more efficiently than classic ODE solvers based on a single level discretization. With the ever wider adoption of the SOFA framework in many surgical simulation projects, introducing this Multigrid ODE solver into SOFA’s pool of ODE solvers shall benefit the entire community. This contribution potentially has broad ramifications in the surgical simulation research community, given that in a single-resolution system, a constitutively realistic interactive tissue response, which presupposes large elements, is in direct conflict with the need to represent clinically relevant critical tissues in the simulation, which are typically be comprised of small elements.

关键词： implementation fine meshes which are typically

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Exchange of parametric bridge models using a neutral data format

Exchange of parametric bridge models using a neutral data fo...

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作者： Ji, Yang Borrmann, André Beetz, Jakob Obergrießer, Mathias Department of Computational Modeling and Simulation Technische Universität München Arcisstrasse 21 80290 Munich Germany Design Systems Group Eindhoven Univ. of Technology Den Dolech 2 5612 AZ Eindhoven Netherlands Dept. of Construction Informatic Regensburg Univ. of Applied Sciences Prüfeninger Str. 58 93049 Regensburg Germany

Parametric modeling is a well-established methodology in the field of mechanical engineering. It allows for the creation of flexible geometric models using parameters for dimensions and makes it possible to define numeric relationships between these parameters by means of mathematical formulas and define geometric-topological constraints between geometric entities. The result is a flexible geometric model that can be steered through the manipulation of its primary parameters. In contrast to explicit geometric models with fixed dimensions, a parametric model can capture the design intent and represent domain knowledge. The use of parametric modeling techniques is particularly beneficial for designing bridges. This is because the geometric design of bridges is mainly determined by external constraints resulting from the size and the layout of both the overlying and the undercrossing carriageway. This reduces the effort required for reworking when changes are made, while simultaneously providing a high degree of reusability for the model in other, similar projects, resulting in significantly increased efficiency in the bridge design process. Because of the strong fragmentation of the architecture, engineering, and construction (AEC) industry, the data exchange between the different participants in a construction project is of crucial importance. The use of neutral, open data formats has proved to be the most suitable approach to realize this data exchange. However, currently existing neutral data formats do not allow for an exchange of parametric geometry. To overcome these technical limitations, this paper introduces an extension to the IFC-Bridge format, thus providing a means of interchanging parametric bridge models. This article describes in detail the necessary entities introduced to define parameters and capture dimensional and geometric constraints. The suitability of the developed extensions is proved by presenting the successful transfer of parametric bridge

关键词： Electronic data interchange

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Using simulation games for teaching and learning discrete-event simulation 16

Using simulation games for teaching and learning discrete-ev...

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simulation Winter Conference

作者： Jose J. Padilla Christopher J. Lynch Saikou Y. Diallo Ross J. Gore Anthony Barraco Hamdi Kavak Bakari Jenkins Virginia Modeling Analysis and Simulation Center Old Dominion University Suffolk VA USA Modeling Simulation and Visualization Engineering Dept. Old Dominion University Norfolk VA USA The Pruden Center for Industry and Technology Suffolk VA USA

ISBN: (纸本)9781509044849

Capturing and retaining the attention of students while learning complex topics like modeling and simulation is a critical task. In discrete-event simulation (DES), educators rely on examples like queueing systems in fast food restaurants or manufacturing organizations to provide the necessary context for learning. In many instances, these examples fall short in capturing the attention of students, especially at the middle and high school levels. One approach for learning complex topics, like creating simulations, is through gaming. This paper reports on the creative use of regular simulation tools to develop simulation games with entertainment content aimed towards engaging young learners. Two games are presented: one focuses on the use of decision nodes while the second focuses on the use of batch/separator nodes. As part of future work, we propose to use these games to evaluate how much knowledge transfers from an entertainment context to one using simulations for real-life situations.

关键词： Games computational modeling Context Urban areas Context modeling Servers

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Tracking nanostructural evolution in alloys: Large-scale analysis of atom probe tomography data on Blue Gene/L

Tracking nanostructural evolution in alloys: Large-scale ana...

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37th International Conference on Parallel Processing, ICPP 2008

作者： Seal, Sudip Moody, Michael Ceguerra, Anna Ringer, Simon Rajan, Krishna Aluru, Srinivas Modeling and Simulation Group Oak Ridge National Laboratory Oak Ridge TN 37831 United States Australian Key Center for Microscopy and Microanalysis Madsen Building F09 University of Sydney NSW 2006 Australia Dept. of Material Sciences and Engineering Iowa Suite University Ames IA 50011 United States Dept. of Electrical and Computer Engineering Iowa Suite University Ames IA 50011 United States

ISBN: (纸本)9780769533742

The advent of Local Electrode Atom Probe (LEAP) tomography is revolutionizing materials science by enabling near atomic scale imaging of materials. Analysis of threedimensional atom probe tomography (APT) data holds the promise of relating combinatorial arrangement of atoms to material properties and enable better design and synthesis of complex materials. Existing techniques, which are serial and require O(n2) work for n atoms, do not scale to the hundred million large data sets produced by current generation atom probe microscopes. In this paper, we present an O(n) work autocorrelation based technique that reveals clustering of constituent atoms and spatial associations between them. We present an efficient parallelization of this method and show scaling on a 1,024 node Blue Gene/L. To our knowledge, this is the first parallel algorithm for the analysis of APT data, and together with our linear work autocorrelation technique, is demonstrated to easily scale to billion atom data sets expected in the very near future. © 2008 IEEE.

关键词： Atoms

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Optimal maximum likelihood estimates fusion in distributed network of sensors

Optimal maximum likelihood estimates fusion in distributed n...

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IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

作者： Bharat Madan Doina Bein Dept. of Modeling Simulation & Visualization Engineering Old Dominion University Norfolk USA Department of Computer Science California State University Fullerton Fullerton USA

ISBN: (纸本)9781509039005

A distributed network of sensors leverages its performance by aggregating information gathered by individual sensors through the process of sensor data fusion. Estimating parameters using a centralized scheme entails transporting data from multiple sensors to a centralized fusion center, leading to high network bandwidth consumption. Additionally, fusing raw sensor data from sensors with different sensing modalities may not be feasible. We propose an alternative approach in which each sensor first individually estimates the unknown parameters based solely on its own sensor data. Since sensors may not have a-priori knowledge of the probability distribution of the unknown parameters, each sensor independently computes its individual maximum likelihood estimates. Individual estimates along with their sufficient statistics are then communicated to the fusion center, which treats these estimates as observations to compute the optimum aggregated maximum likelihood estimates by maximizing the new likelihood function of these observations. The proposed technique offers two significant advantages: (i) Since each sensor computes its individual estimates based solely on its own sensed data, it is easily applicable to sensor networks having multi-modal sensors, and (ii) As compared to raw sensor data, communicating estimates and their sufficient statistics to the fusion center requires substantially less network bandwidth. Performance of the aggregated estimates is evaluated through simulations and by computing the Cramer-Rao lower bound.

关键词： Maximum likelihood estimation Sensor fusion Bandwidth Sensor phenomena and characterization computational modeling

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Design of planet landers for soft landing with DHEM propulsion system-Phase I

Design of planet landers for soft landing with DHEM propulsi...

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AIAA Propulsion and Energy Forum and Exposition, 2019

作者： Mariappan, Amrith Sukumaran, Ajith Thianesh, U.K. Gowri Sankar, P. Kumar, Ashish Yoon, Sugjoon Sanal Kumar, V.R. Dept. of Aeronautical Engineering Kumaraguru College of Technology CoimbatoreTamil Nadu641 049 India Kumaraguru College of Technology CoimbatoreTamil Nadu641 049 India Modeling and Simulation Laboratory Dept. of Aerospace Engineering Sejong University 209 Neungdong-ro Gwangjin-gu Seoul Korea Republic of Sejong University 209 Neungdong-ro Gwangjin-gu Seoul Korea Republic of Indian Space Research Organisation TrivandrumKerala695022 India

ISBN: (数字)9781624105906

ISBN: (纸本)9781624105906

The dual-head electromagnetic (DHEM) propulsion system is capable to create a spinning motion to the multirotor planet landers without any propellant system. The DHEM devices not only have greater applications in space exploration, but also have much application for the near-earth atmosphere surveillance especially during the natural calamity. This is the continuation of our previous connected paper (AIAA 2019-1125) wherein we could demonstrate the capability of the in-house designed DHEM device for producing continuously the reciprocating moment of a magnetic piston using the polarity changer timing circuit (PCTC). In this companion paper parametric analytical studies have been carried out for the design optimization of planet landers with a DHEM propulsion system for a soft landing. The variable density planet environments of Venus and Mars have been selected for the modeling and simulation. During our preliminary studies in India the DHEM propulsion system is facilitated with a four bladed coaxial propeller for examining the performance characteristics of our proposed soft landing Venus lander. A prototype of the static working model of the DHEM device is tested and qualified in the Space Propulsion Laboratory (SPL) of Kumaraguru College of Technology. In another attempt the DHEM device is connected to a quadcopter and simulations have been carried out using a mixed reality simulation (MRS) technique in the modeling and simulation laboratory (MSL) of Sejong University. The MRS is the combination of the virtual part together with the real part. During the quadcopter model validation, a full virtual part is represented through a computer with X-plane flight simulator and a full real part is represented by a real quadcopter operating within an airfield at South Korea. The technique developed in the MSL is to connect the real quadcopter and the virtual quadcopter together using X-plane, MISSION PLANNER and MATLAB interface for MRS. The earth ground experimental fligh

关键词： Timing circuits

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DEEP LEARNING-BASED AVERAGE SHEAR WAVE VELOCITY PREDICTION USING ACCELEROMETER RECORDS

arXiv

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arXiv 2024年

作者： Yilmaz, B. Turkmen, M. Meral, S. Akagündüz, E. Tileylioglu, S. Dept. of Modeling and Simulation Graduate School of Informatics METU Ankara Turkey Turkish Aerospace Industries Inc. Ankara Turkey Dept. of Civil Engineering Kadir Has University Istanbul Turkey

Assessing seismic hazards and thereby designing earthquake-resilient structures or evaluating structural damage that has been incurred after an earthquake are important objectives in earthquake engineering. Both tasks require critical evaluation of strong ground motion records, and the knowledge of site conditions at the earthquake stations plays a major role in achieving the aforementioned objectives. Site conditions are generally represented by the time-averaged shear wave velocity in the upper 30 meters of the geological materials (Vs30). Several strong motion stations lack Vs30 measurements resulting in potentially inaccurate assessment of seismic hazards and evaluation of ground motion records. In this study, we present a deep learning-based approach for predicting Vs30 at strong motion station locations using three-channel earthquake records. For this purpose, Convolutional Neural Networks (CNNs) with dilated and causal convolutional layers are used to extract deep features from accelerometer records collected from over 700 stations located in Turkey. In order to overcome the limited availability of labeled data, we propose a two-phase training approach. In the first phase, a CNN is trained to estimate the epicenters, for which ground truth is available for all records. After the CNN is trained, the pre-trained encoder is fine-tuned based on the Vs30 ground truth. The performance of the proposed method is compared with machine learning models that utilize hand-crafted features. The results demonstrate that the deep convolutional encoder based Vs30 prediction model outperforms the machine learning models that rely on hand-crafted features. This suggests that our computational model can extract meaningful and informative features from the accelerometer records, enabling more accurate Vs30 predictions. The findings of this study highlight the potential of deep learning-based approaches in seismology and earthquake engineering. © 2024, CC BY.

关键词： Shear waves

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Experimental modeling of vertical dynamics of vehicles with controlled suspensions

Experimental modeling of vertical dynamics of vehicles with ...

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2004 SAE World Congress

作者： Milanese, Mario Novara, Carlo Gabrielli, Paolo Tenneriello, Luigi Dipartimento de Automatica e Informatica Politecnico di Torino Italy FIAT Auto S.p.A. - Product and Process Engineering Vehicle Dynamics Active Chassis Control Italy Elasis S.C.p.A. - Fiat Group Control Systems Dept. Modeling Simulation and Control Strategies Vehicle Dynamics Italy

ISBN: (纸本)0768013194

In the paper, identification of vertical dynamics of vehicles with controlled suspensions is considered. Identification is performed from experimental data measured on a four-poster bench test of a segment C car, equipped with a CDC-Skyhook dampers control system. Vertical displacements at tires are imposed, related to different types of road profiles at different constant speeds and the following front and rear variables have been measured: chassis accelerations, wheels accelerations, chassis-wheel displacements, chassis-road displacements and control currents of the dampers. A nonlinear model in regression form is identified, having the road profile and damper control currents as inputs and chassis and wheels accelerations as outputs. The model is identified by means of a Set Membership structured identification method, which takes advantage of physical information on the structure of the system, decomposing the system in five subsystems: one represents the chassis and engine and the other ones represent the front and rear suspensions and wheels-tires. The overall high-dimensional identification problem is reduced to the identification of lower dimensional subsystems and to the estimation of their interactions and a recently proposed iterative scheme is used for its solution. A quite satisfactory overall model has been obtained, whose accuracy is documented by simulating the system with road profiles and damper control currents not used for the identification. Copyright © 2004 SAE International.

关键词： Chassis

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