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Mathematics & Statistics

Modeling & simulation research

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  • Published Date
Displaying 176 - 200 of 488

Compositional Models for Complex Systems

January 19, 2019
Author(s)
Spencer J. Breiner, Ram D. Sriram, Eswaran Subrahmanian
In this chapter we argue for the use of representations from category theory to support better models for complex systems, and provide an example of such an application might look like. Our approach rests on the well known observation that complex system

Uncertainty Quantification of Failure Probability and a Dynamic Risk Analysis of Decision Making for Maintenance of Ageing Infrastructure

January 2, 2019
Author(s)
Jeffrey T. Fong, James J. Filliben, Nathanael A. Heckert, Dennis D. Leber, Paul A. Berkman, Robert E. Chapman
Risk, as the product of failure probability and failure consequence, has been estimated and applied by engineers and managers to help make critical decisions on (a) maintenance of ageing plants, and (b) planning of new infrastructure. For ageing plants

Some generating functions for q-polynomials

December 15, 2018
Author(s)
Howard Cohl, Roberto Costas-Santos, Tanay Wakhare
We obtain $q$-analogues of the Sylvester, Cesaro, Pasternack, and Bateman polynomials. We also derive generating functions for these polynomials.

COMPARISON OF DATA ANALYTICS APPROACHES USING SIMULATION

December 9, 2018
Author(s)
Sanjay Jain, Anantha Narayanan Narayanan, Yung-Tsun Lee
Selecting the right data analytics (DA) approach for an application is rather complex. Obtaining sufficient and right kind of data for evaluating these approaches is a challenge. Simulation models can support this process by generating synthetic data where

Categorical Models for Process Planning

November 19, 2018
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Albert W. Jones
Process plans provide a structure for 1) identifying the tasks involved in a given process, 2) the resources needed to accomplish them, and 3) a variety of relationships and constraints between these. This information guides important operational decisions

VIRTUAL EXPERIMENTAL INVESTIGATION FOR INDUSTRIAL ROBOTICS IN GAZEBO ENVIRONMENT

November 14, 2018
Author(s)
Murat Aksu, John L. Michaloski, Frederick M. Proctor
Measuring the agility performance of the industrial robots as they are performing in unstructured and dynamic environments is a thought-provoking research topic. This paper investigates the development of industrial robotic simulation algorithms for the

Using LZMA Compression for Spectrum Sensing with SDR Samples

November 9, 2018
Author(s)
Andre Rosete, Kenneth Baker, Yao Ma
Successful spectrum management requires reliable methods for determining whether communication signals are present in a spectrum portion of interest. The widely-used energy detection (ED), or radiometry method is only useful in determining whether a

Best Practices for Quantification of Uncertainty and Sampling Quality in Molecular Simulations

October 27, 2018
Author(s)
Alan Grossfield, Paul Patrone, Daniel R. Roe, Andrew J. Schultz, Daniel Siderius, Daniel M. Zuckerman
The quantitative assessment of uncertainty and sampling quality is essential in molecular simulation. Many systems of interest are highly complex, often at the edge of current computational capabilities. Modelers must therefore analyze and communicate

A Computable General Equilibrium Model of Cedar Rapids

September 27, 2018
Author(s)
Jennifer Helgeson, Juan Fung, Cheyney O'Fallon, David Webb, Harvey Cutler
This report presents the development of a Computable General Equilibrium (CGE) model for the regional economy of Cedar Rapids, Iowa. The general approach that this case study takes is outlined in Helgeson et al. [1] as a method to quantify the net co

Intelligent Building Agents Laboratory: Air System Design

September 27, 2018
Author(s)
Amanda J. Pertzborn, Daniel A. Veronica
The National Institute of Standards and Technology has constructed the Intelligent Building Agents Laboratory (IBAL) to demonstrate the potential for distributed, intelligent software agents to optimize the control of heating, ventilation, and air

THREE APPROACHES TO QUANTIFICATION OF NDE UNCERTAINTY AND A DETAILED EXPOSITION OF THE EXPERT PANEL APPROACH USING THE SHEFFIELD ELICITATION FRAMEWORK

July 15, 2018
Author(s)
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben, Steven R. Doctor
The ASME Boiler & Pressure Vessel Code Section XI Committee is currently developing a new Division 2 nuclear code entitled the "Reliability and Integrity Management (RIM) program," with which one is able to arrive at a risk-informed, NDE-based engineering

Conflict-driven Hybrid Observer-based Anomaly Detection

June 25, 2018
Author(s)
Dhananjay Anand, Zheng Wang, Dawn Tilbury, James Moyne, CheeYee Tang
This paper presents an anomaly detection method using a hybrid observer – comprised of state observers for both discrete and continuous states. We focus our attention on anomalies caused by intelligent attacks that use knowledge of the system behavior to

Design and Implementation of pyPRISM: A Polymer Liquid-State Theory Framework

June 15, 2018
Author(s)
Tyler B. Martin, Thomas E. Gartner, Ronald L. Jones, Chad R. Snyder, Arthi Jayaraman
Polymer Reference Interaction Site Model (PRISM) theory describes the equilibrium spatial- correlations, thermodynamics, and structure of liquid- like polymer systems and macromolecular materials. Here, we describe the code structure, implementation, and

Model-based Cosimulation for Industrial Wireless Networks

June 15, 2018
Author(s)
Ging Jeng, Honglei Li, Yanzhou Liu, Yongkang Liu, Mohamed Hany, Rick Candell, Shuvra Bhattacharyya
Wireless communications technology has the potential to provide major benefits in lowering the cost and increasing the efficiency of factory automation (FA) systems. However, design of FA systems that employ wireless networks involves stringent constraints

Energy Renormalization Method for the Coarse-Graining of Polymer Viscoelasticity

May 10, 2018
Author(s)
Jake Song, David D. Hsu, Kenneth R. Shull, Frederick R. Phelan Jr., Jack F. Douglas, Wenjie Xia, Sinan Keten
Developing time and temperature transferable coarse-grained (CG) models is essential for the computational prediction and design of polymeric glass-forming materials, but this goal has remained elusive. The dynamics of CG models are often greatly altered
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