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Information Technology

Computational science

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Displaying 51 - 75 of 153

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

Precision Optical Antenna Alignment System for Tracking Antennas in 6-DOF

November 4, 2018
Author(s)
Joshua A. Gordon, David R. Novotny, Michael S. Allman
We present on an all-optical spatial metrology system, the PiCMM, that aids in the alignment and tracking of antennas with accuracies on the order of 25 microns and 0.01 deg. This system speeds up millimeter-wave antenna alignment, does not require contact

Determining Carbon Fiber Composite Loading with Flip-Chip Measurements to 110 GHz

September 1, 2018
Author(s)
Nina P. Basta, Aaron Hagerstrom, Jasper A. Drisko, James Booth, Edward Garboczi, Christian Long, Nathan Orloff
— Electrical properties of materials are a necessary part of any circuit design. With emerging applications at millimeter- wave frequencies, there is a need to characterize new materials before they come to market. At frequencies below about 67 GHz, it is

MathTools: An Open API for Convenient MathML Handling

July 18, 2018
Author(s)
Howard S. Cohl, Andre Greiner Petter, Moritz Schubotz, Bela Gipp
Mathematical formulae carry complex and essential semantic in- formation in a variety of formats. Accessing this information with different sys- tems requires a standardized machine-readable format that is capable of encod- ing presentational and semantic

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

UNCERTAINTY IN MULTI-SCALE CREEP RUPTURE LIFE MODELING AND A NEW APPROACH TO ESTIMATING FREQUENCY OF IN-SERVICE INSPECTION OF COMPONENTS AT ELEVATED TEMPERATURES (*)

April 3, 2018
Author(s)
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben, Marvin J. Cohn
Uncertainty in modeling the creep rupture life of a full-scale component using experimental data at microscopic (Level 1), specimen (Level 2), and full-size (Level 3) scales, is addressed by applying statistical theory of prediction intervals, and that of

Nonuniform Sampling in Multidimensional NMR for Improving Spectral Sensitivity

April 1, 2018
Author(s)
Matthew Zambrello, Adam D. Schuyler, Mark W. Maciejewski, Frank Delaglio, Irina Bezsonova, Jeffrey C. Hoch
The development of multidimensional NMR spectroscopy enabled an explosion of structural and dynamical investigations on proteins and other biomacromolecules. Practical limitations on data sampling, based on the Jeener paradigm of parametric sampling of

Nonuniform sampling in multidimensional NMR for improving spectral sensitivity

April 1, 2018
Author(s)
Mark W. Maciejewski, Hesam Dashti, Matthew Zambrello, Adam D. Schuyler, Mehdi Mobli, Hamid R. Eghbalnia, Frank Delaglio, Alan S. Stern, Jeffrey C. Hoch
The development of multidimensional NMR spectroscopy enabled an explosion of structural and dynamical investigations on proteins and other biomacromolecules. Practical limitations on data sampling, based on the Jeener paradigm of parametric sampling of

Small Low-Depth Circuits for Cryptographic Applications

March 24, 2018
Author(s)
Joan Boyar, Magnus G. Find, Rene Peralta
We present techniques to obtain small circuits which also have low depth. The techniques apply to typical cryptographic functions, as these are often specified over the field GF(2), and they produce circuits containing only AND, XOR and XNOR gates. The

A Design Tool for High Performance Image Processing on Multicore Platforms

March 23, 2018
Author(s)
Timothy J. Blattner, Jiahao Wu, Walid Keyrouz, Shuvra S. Bhattacharyya
Design and implementation of smart vision systems often involve the mapping of complex image processing algorithms into efficient, real-time implementations on multicore platforms. In this paper, we describe a novel design tool that is developed to address

A Fast Recursive Algorithm For Spectrum Tracking in Power Grid Systems

March 8, 2018
Author(s)
Hamid Gharavi
A major challenge for future wide area measurement systems is how to efficiently monitor and control the power system, which requires accurate and real-time tracking of the phase, frequency, and Power Factor (PF) of the system. The presence of inter and

Diffusion Monte Carlo versus adiabatic computation for local Hamiltonians

February 15, 2018
Author(s)
Stephen P. Jordan, Jacob Bringewatt, Alan Mink, William Dorland
Most research regarding quantum adiabatic optimization has focused on stoquastic Hamiltonians, whose ground states can be expressed with only real, nonnegative amplitudes. This raises the question of whether classical Monte Carlo algorithms can efficiently

Web Microanalysis of Big Image Data

February 1, 2018
Author(s)
Peter Bajcsy, Joe Chalfoun, Mylene H. Simon
This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure

Letter in response to V. Stodden et al., Science 354, 1240 (2016).

January 2, 2018
Author(s)
Mark W. Maciejewski, Adam D. Schuyler, Michael R. Gryk, Ion I. Moraru, Pedro R. Romero, Eldon L. Ulrich, Hamid R. Eghbalnia, Miron Livny, Frank Delaglio, Jeffrey C. Hoch
Stodden et al. (1) bring welcome attention to the problem of reproducibility of computational analyses, and recommend guidelines for addressing the barriers to reproducibility. However, one important barrier to long-term reproducibility of computational

Modeling, Validation and Verification of Three-Dimensional Cell-Scaffold Contacts from Terabyte- sized Images

December 1, 2017
Author(s)
Peter Bajcsy, Sowon Joy Yoon, Stephen Florczyk, Nathan Hotaling, Mylene H. Simon, Piotr Szczypinski, Nicholas J. Schaub, Carl G. Simon Jr., Mary C. Brady, Ram D. Sriram
Background: Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and spun coat, large microfiber, and medium microfiber scaffolds. Our

Model-based Dynamic Scheduling for Multicore Implementation of Image Processing Systems

October 5, 2017
Author(s)
Timothy J. Blattner, Walid Keyrouz, Jiahao Wu, Shuvra S. Bhattacharyya
In this paper, we present a new software tool, called HTGS Model-based Engine (HMBE), for the design and implementation of multicore signal processing applications. HMBE provides complementary capabilities to HTGS (Hybrid Task Graph Scheduler), which is a

MRI Birdcage RF Coil Resonance with Uncertainty and Relative Error Convergence Rates

October 4, 2017
Author(s)
Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben, Pedro V. Marcal, Robert Rainsberger, Karl F. Stupic, Stephen E. Russek
In a magnetic resonance imaging (MRI) system, it is necessary to excite the nuclei of a patient into coherent precession for imaging. This requires a coupling between the nuclei and a source of radio frequency (RF) power using a transmitter. To receive a

Energy renormalization approach to coarse-graining of polymer dynamics

August 8, 2017
Author(s)
Wenjie Xia, Jake Song, Cheol Jeong, David D. Hsu, Frederick R. Phelan Jr., Jack F. Douglas, Sinan Keten
A major challenge in soft matter science is the bottom-up prediction of the temperature- dependent behavior of amorphous glass-forming (GF) polymers. Coarse-grained (CG) models derived from atomistic simulation data offer chemical specificity and access to
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