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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Md Ariful Haque Sachin Shetty Charles A. Kamhoua Kimberly Gold Computational Modeling and Simulation Engineering Old Dominion University Norfolk VA USA Network Security Research The U.S. Army Research Laboratory Adelphi MD USA Crane Division Naval Surface Warfare Center Crane IN USA

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

Developing mission-centric impact assessment techniques to address cyber resiliency in the cyber-physical systems (CPSs) requires integrating system inter-dependencies to the risk and resilience analysis process. Generally, network administrators utilize attack graphs to estimate possible consequences in a networked environment. Attack graphs lack to incorporate the operations-specific dependencies. Localizing the dependencies among operational missions, tasks, and the hosting devices in a large-scale CPS is also challenging. In this work, we offer a graphical modeling technique to integrate the mission-centric impact assessment of cyberattacks by relating the effect to the operational resiliency by utilizing a combination of the logical attack graph and mission impact propagation graph. We propose formal techniques to compute cyberattacks' impact on the operational mission and offer an optimization process to minimize the same, having budgetary restrictions. We also relate the effect to the system functional operability. We illustrate our modeling techniques using a SCADA (supervisory control and data acquisition) case study for the cyber-physical power systems. We believe our proposed method would help evaluate and minimize the impact of cyber attacks on CPS's operational missions and, thus, enhance cyber resiliency.

关键词： Task analysis Resilience Computer crime Artificial neural networks Optimization computational modeling Open source software

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An SDN-IoT-based framework for future smart cities: Addressing perspective

arXiv

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arXiv 2020年

作者： Ghosh, Uttam Chatterjee, Pushpita Shetty, Sachin Datta, Raja Department of EECS Vanderbilt University NashvilleTN37235 United States Department of Computational Modeling and Simulation Engineering Old Dominion University SuffolkVA23435 United States Dept. of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur Kharagpur West Bengal721302 India

In smart this cities Chapter has , been a software-defined proposed and discussed. network (SDN)-based It also comprises framework a distributed for future addressing scheme to facilitate the allocation of addresses to devices in the smart city dynamically. The framework is dynamic and modules can be added and omitted by a centralized controlling unit without disturbing the other components of the framework and other modules may be updated accordingly. In the proposed addressing scheme, a new Internet of Things (IoT) device will receive an IP address from one of their existing neighboring peer devices. This allows devices in the city to act as a proxy and generate a set of unique IP addresses from their own IP addresses, which can then be assigned to new (joining) devices;hence, reducing addressing overhead and latency, as well as avoiding the need to send broadcast messages during the address allocation process. Thus, it achieves considerable bandwidth and energy savings for the IoT devices. Copyright © 2020, The Authors. All rights reserved.

关键词： Internet of things

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Numerical homogenization of elastoplastic deformations of composite material with small proportion of inclusions 4

Numerical homogenization of elastoplastic deformations of co...

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4th International Conference on Supercomputer Technologies of Mathematical Modelling, SCTeMM 2019

作者： Sivtsev, Petr V. Kolesov, Aleksandr E. Zakharov, Petr E. Yang, Ying Research Laboratory multiscale Matheatical Modeling and Computing Ammosov North-Eastern Federal University Belinskogo 58 Yakutsk677000 Russia Hunan Key Laboratory for Computation and Simulation in Science and Engineering School of Mathematics and Computational Science Xiangtan University Xiangtan Hunan411105 China

Numerical simulation of the stress-strain state of a composite material may be difficult due to large computational complexity associated with a grid resolution of a large number of inclusions. To overcome the problem one may use the homogenization method. But for material with plastic properties, proper modeling of yield stress and hardening may be overcomplicated. In this work we use some simplification associated with a small proportion of inclusions and restriction of stress values by matrix material strength. As model problem, we use deformation of concrete deep beam reinforced with steel or basalt fiber inclusions. For the numerical solution, the finite element method was applied using the FEniCS computing platform. © Published under licence by IOP Publishing Ltd.

关键词： Homogenization method

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Parallel performance of an iterative solver based on the golub-kahan bidiagonalization 13th

Parallel performance of an iterative solver based on the gol...

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13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019

作者： Kruse, Carola Sosonkina, Masha Arioli, Mario Tardieu, Nicolas Rüde, Ulrich Cerfacs 42 Avenue Gaspard Coriolis Toulouse31100 France Department of Computational Modeling and Simulation Engineering Old Dominion University NorfolkVA23529 United States Libera Universita Mediterranea Strada Statale CasamassimaBA73125 Italy IMSIA UMR 9219 EDF-CNRS-CEA-ENSTA Université Paris Saclay 828 Boulevard des Maréchaux Palaiseau Cedex91762 France Friedrich-Alexander-Universität Erlangen-Nürnberg Cauerstr. 11 Erlangen91058 Germany

ISBN: (纸本)9783030432287

We present an iterative method based on a generalization of the Golub-Kahan bidiagonalization for solving indefinite matrices with a 2×2 block structure. We focus in particular on our recent implementation of the algorithm using the parallel numerical library PETSc. Since the algorithm is a nested solver, we investigate different choices for parallel inner solvers and show its strong scalability for two Stokes test problems. The algorithm is found to be scalable for large sparse problems. © Springer Nature Switzerland AG 2020.

关键词： Iterative methods

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modeling Cyber Resilience for Energy Delivery Systems Using Critical System Functionality

Modeling Cyber Resilience for Energy Delivery Systems Using ...

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Resilience Week (RWS)

作者： Md Ariful Haque Sachin Shetty Bheshaj Krishnappa Computational Modeling and Simulation Engineering Old Dominion University Norfolk VA USA Risk Analysis and Mitigation ReliabilityFirst Cleaveland OH USA

ISBN: (纸本)9781728121369

In this paper, we analyze the cyber resilience for the energy delivery systems (EDS) using critical system functionality (CSF). Some research works focus on identification of critical cyber components and services to address the resiliency for the EDS. Analysis based on the devices and services excluding the system behavior during an adverse event would provide partial analysis of cyber resilience. To address the gap, in this work, we utilize the vulnerability graph representation of EDS to compute the system functionality under adverse condition. We use network criticality metric to determine CSF. We estimate the criticality metric using graph Laplacian matrix and network performance after removing links (i.e., disabling control functions, or services). We model the resilience of the EDS using CSF, and system recovery curve. We also provide a comprehensive analysis of cyber resilience by determining the critical devices using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and AHP (Analytical Hierarchy Process) methods. We present use cases of EDS illustrating the way control functions and services in EDS map to the vulnerability graph model. The simulation results show that we can estimate the resilience metric using different types of graphs that may assist in making an informed decision about EDS resilience.

关键词： Energy delivery systems Cyber resilience Critical system functionality TOPSIS AHP Vulnerability graph Excessive daytime sleepiness Energy Dispersive Spectrometer Analytic hierarchy process Legal Services Resilience TOPSIS critical systems Cerebrospinal Fluid Colony-Stimulating Factors system behavior DELIVERY SYSTEM system recovery control function

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Evaluating kinect V1 and V2 for chest wall surface scanning and assessment 8

Evaluating kinect V1 and V2 for chest wall surface scanning ...

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8th International Workshop on Innovative simulation for Health Care, IWISH 2019

作者： Kidane, Nahom Obeid, Mohammad F. Hall, Cierra Sakioti, Ntiana Kelly, Robert E. McKenzie, Frederic D. Dept. of Computational Modeling and Simulation Engineering Old Dominion University Norfolk United States Division of Applied Technology Shenandoah University Winchester United States Pediatric Surgery Children's Hospital King's Daughters and Eastern Virginia Medical School Norfolk United States

ISBN: (纸本)9788885741362

Optical scanning has proven to be advantageous to objectively assess the severity of chest wall deformities and the effectiveness of its treatment. By potentially eliminating the need for computed tomography (CT) scanning and superseding manual measurements that are subject to errors, a system that utilizes optical scanning presents great value to patients and practitioners. This work aims to investigate and evaluate the performance of two off-the-shelf optical scanning sensors in the context of their utility and accuracy to measure the severity of chest wall deformities. An in-vitro experiment and a human study are conducted utilizing both sensors to collect data and report the findings. © Innovative simulation for Health Care, IWISH *** Rights Reserved.

关键词： Scanning

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Graph convolutional neural networks for body force prediction

arXiv

引用

arXiv 2020年

作者： Ogoke, Francis Meidani, Kazem Hashemi, Amirreza Farimani, Amir Barati Department of Mechanical Engineering Carnegie Mellon University PittsburghPA United States Department of Computational Modeling and Simulation University of Pittsburgh PittsburghPA United States Department of Chemical Engineering Carnegie Mellon University PittsburghPA United States Machine Learning Department Carnegie Mellon University PittsburghPA United States

Many scientific and engineering processes produce spatially unstructured data. However, most data-driven models require a feature matrix that enforces both a set number and order of features for each sample. They thus cannot be easily constructed for an unstructured dataset. Therefore, a graph based data-driven model to perform inference on fields defined on an unstructured mesh, using a Graph Convolutional Neural Network (GCNN) is presented. The ability of the method to predict global properties from spatially irregular measurements with high accuracy is demonstrated by predicting the drag force associated with laminar flow around airfoils from scattered velocity measurements. The network can infer from field samples at different resolutions, and is invariant to the order in which the measurements within each sample are presented. The GCNN method, using inductive convolutional layers and adaptive pooling, is able to predict this quantity with a validation R2 above 0.98, and a Normalized Mean Squared Error below 0.01, without relying on spatial structure. Copyright © 2020, The Authors. All rights reserved.

关键词： Forecasting

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A Novel computational Protocol to Support Transfemoral Prosthetic Alignment Procedure Using Machine Learning Techniques

SSRN

引用

SSRN 2022年

作者： Cárdenas, Andres M. Plata, Jesús A. Font-Llagunes, Josep M. Hernández, Alher M. Uribe, Juliana Bioinstrumentation and Clinical Engineering Research Group GIBIC Bioengineering Department Engineering Faculty Universidad de Antioquia UdeA Calle 70 No. 52-21 Medellín Colombia Research Group in Computational Modeling and Simulation GIMSC Engineering Faculty Universidad de San Buenaventura Carrera 56C No. 51-110 Medellín Colombia Biomechanical Engineering Lab Department of Mechanical Engineering Research Centre for Biomedical Engineering Universitat Politècnica de Catalunya Diagonal 647 Barcelona08028 Spain Institut de Recerca Sant Joan de Déu Santa Rosa 39‑57 Esplugues de Llobregat08950 Spain Grupo Rehabilitación en Salud Sede de Investigación Universitaria Universidad de Antioquia UdeA Calle 70 No. 52-21 Medellín Colombia Mahavir Kmina Artificial Limb Center Carrera 54 No. 79 AA Sur 40 Bodegas La Troja Local 116 La Estrella Colombia

Background: The prosthetic alignment procedure considers biomechanical, anatomical and comfort characteristics of the amputee to achieve an acceptable gait. Prosthetic malalignment induces long-term disease. The assessment of alignment is highly variable and subjective to the experience of the prosthetist, so the use of machine learning could assist the prosthetist during the judgment of optimal *** objective: To assist the prosthetist during the assessment of prosthetic alignment using a new computational protocol based on machine ***: Sixteen transfemoral amputees were recruited for training and validation of the alignment protocol. Four misalignments and one nominal alignment were performed. Eleven prosthetic limb ground reaction force parameters were recorded. A support vector machine with a Gaussian kernel radial basis function and a Bayesian regularization neural network were trained to predict the alignment condition, as well as the magnitude and angle of required to align the prosthesis correctly. The alignment protocol was validated by one junior and one senior prosthetist during the prosthetic alignment of two transfemoral ***: The support vector machine-based model detected the nominal alignment 92.6% of the time. The neural network recovered 94.11% of the angles needed to correct the prosthetic misalignment with a fitting error of 0.51°. During the validation of the alignment protocol, the computational models and the prosthetists agreed on the alignment assessment. The gait quality evaluated by the prosthetists reached a satisfaction level of 8/10 for the first amputee and 9.6/10 for the second ***: The new computational prosthetic alignment protocol is a tool that helps the prosthetist during the prosthetic alignment procedure thereby decreasing the likelihood of gait deviations and musculoskeletal diseases associated with misalignments and consequently improving the amputees-prosthesis adherence.

关键词： Alignment

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Machine-learning-based interatomic potential for phonon transport in perfect crystalline Si and crystalline Si with vacancies

引用

Physical Review Materials 2019年第7期3卷 074603-074603页

作者： Hasan Babaei Ruiqiang Guo Amirreza Hashemi Sangyeop Lee Department of Mechanical Engineering and Materials Science University of Pittsburgh Pittsburgh Pennsylvania 15261 USA Department of Computational Modeling and Simulation University of Pittsburgh Pittsburgh Pennsylvania 15261 USA Department of Physics and Astronomy University of Pittsburgh Pittsburgh Pennsylvania 15261 USA

We report that the single interatomic potential, developed using Gaussian regression of data from density functional theory calculations, has high accuracy and flexibility to describe phonon transport with ab initio accuracy in two different atomistic configurations: perfect crystalline Si and crystalline Si with vacancies. The high accuracies of second- and third-order force constants from the Gaussian approximation potential (GAP) are demonstrated with phonon dispersion, Grüneisen parameter, three-phonon scattering rate, phonon-vacancy scattering rate, and thermal conductivity, all of which are very close to the results from density functional theory calculations. We also show that the widely used empirical potentials (Stillinger-Weber and Tersoff) produce much larger errors compared to the GAP. The computational cost of GAP is higher than the two empirical potentials, but five orders of magnitude lower than density functional theory calculations. Our work shows that GAP can provide a new opportunity for studying phonon transport in partially disordered crystalline phases with the high predictive power of ab initio calculation but at a feasible computational cost.

关键词： Anharmonic lattice dynamics Heat transfer Interatomic & molecular potentials Lattice dynamics Lattice thermal conductivity Nonequilibrium statistical mechanics Phonons Thermal conductivity Thermal properties Thermodynamics Transport phenomena Boltzmann theory Density functional theory First-principles calculations Green's function methods Lattice-Boltzmann methods Machine learning Molecular dynamics

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Mechanism for reconfigurable logic in disordered dopant networks

Research Square

引用

Research Square 2021年

作者： Tertilt, Henri Bakker, Jesse Becker, Marlon de Wilde, Bram Klanberg, Indrek Geurts, Bernard J. van der Wiel, Wilfred G. Heuer, Andreas Bobbert, Peter A. Institut für physikalische Chemie Westfälische Wilhelms-Universität Münster Münster Germany University of Twente Enschede Netherlands Multiscale Modeling and Simulation Group Faculty of Electrical Engineering Mathematics and Computer Science Center for Brain-Inspired Nano Systems University of Twente Enschede Netherlands Eindhoven University of Technology Eindhoven5600 MB Netherlands Fachbereich Physik Westfälische Wilhelms-Universität Münster Münster Germany Molecular Materials and Nanosystems Group Center for Computational Energy Research Eindhoven University of Technology Eindhoven Netherlands

We present an atomic-scale mechanism based on variable-range hopping of interacting charges enabling reconfigurable logic and nonlinear classification tasks in dopant network processing units in silicon. Kinetic Monte Carlo simulations of the hopping process show temperature-dependent current-voltage characteristics, artificial evolution of basic Boolean logic gates, and fitness-dependent gate abundances in striking agreement with experiment. The simulations provide unique insights in the local electrostatic potential and current flow in the dopant network, showing subtle changes induced by control voltages that set the conditions for the logic operation. These insights will be crucial in the systematic further development of this burgeoning technology for unconventional computing. The establishment of the principles underlying the logic functionality of these devices encourages the exploration and utilization of the same principles in other materials and device geometries. © 2021, CC BY.

关键词： Monte Carlo methods

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