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Information Technology

Data & informatics

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Displaying 176 - 200 of 661

Representation of PIV Chain-of-Trust for Import and Export

May 20, 2016
Author(s)
Hildegard Ferraiolo, Ramaswamy Chandramouli, Ketan L. Mehta, Jason Mohler, Stephen Skordinski, Steven Brady
This document provides a common XML-based data representation of a chain-of-trust record to facilitate the exchange of PIV Card enrollment data. The exchanged record is the basis to personalize a PIV Card for a transferred employee and also for service

Shape Retrieval of Non-Rigid 3D Human Models

April 26, 2016
Author(s)
Afzal A. Godil, David Pickup
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid 3D shape

Reclamation-NIST Exploratory Research Symposium Summary Report

April 6, 2016
Author(s)
Nicholas Barbosa, Jessica Torrey
The Reclamation-NIST Exploratory Research Symposium was held on August 4-5, 2015, at the Reclamation Denver Federal Center facility in Lakewood, CO, and the NIST facility in Boulder, CO. Staff from the Bureau of Reclamation and the National Institute of

Data Infrastructure for High Throughput Materials Discovery

March 7, 2016
Author(s)
Erik A. Pfeif, Kenneth G. Kroenlein
Increases in computational capability enabled sophisticated materials design to evolve from trial-and-error approaches towards more informed methodologies that require large amounts of data. Expert designed tools and their underlying databases facilitate

3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images

March 1, 2016
Author(s)
Peter Bajcsy, Mylene H. Simon, Stephen J. Florczyk, Carl G. Simon Jr., Derek Juba, Mary C. Brady
We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells. With a very large number of z-stacks, manual inputs to validate each segmentation result are

Derived Personal Identity Verification (PIV) Credentials (DPC) Proof of Concept Research

January 20, 2016
Author(s)
Michael J. Bartock, Jeffrey A. Cichonski, Murugiah P. Souppaya, Paul Fox, Mike Miller, Ryan Holley, Karen Scarfone
This report documents proof of concept research for Derived Personal Identity Verification (PIV) Credentials. Smart card-based PIV Cards cannot be readily used with most mobile devices, such as smartphones and tablets, but Derived PIV Credentials (DPCs)

Survey Statistics of Automated Segmentations Applied to Optical Imaging of Mammalian Cells

January 8, 2016
Author(s)
Peter Bajcsy, Antonio Cardone, Joe Chalfoun, Michael W. Halter, Derek Juba, Marcin Kociolek, Michael P. Majurski, Adele P. Peskin, Carl G. Simon Jr., Mylene H. Simon, Antoine Vandecreme, Anne L. Plant, Mary C. Brady
The goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. The cellular measurements of primary interest are taken from mammalian cells and their components. They are

An Effective Video Synopsis Approach with Seam Carving

January 1, 2016
Author(s)
Hamid Gharavi
With a growth of surveillance cameras, the amount of captured videos expands. Manually analyzing and retrieving surveillance video is labor intensive and expensive. It would be much more convenient to generate a video digest, with which we can view the

Cyber-Physical Social Systems: Getting People into the Loop

January 1, 2016
Author(s)
Sulayman Sowe, Eric D. Simmon, Koji Zettsu, Frederic J. de Vaulx, Irena Bojanova
This paper outlines the need to effectively integrate people into the design of a new generation of Cyber-Physical Social Systems (CPSS) and proposes a Human Service Capability Description Model to do it.

Third-Party Software's Trust Quagmire

December 18, 2015
Author(s)
Jeffrey M. Voas, George Hurlburt
Integrating software developed by third-party organizations into a larger system raises concerns about the software's quality, origin, functionality, security, and interoperability. Addressing these concerns requires rethinking the roles of software's

Expanding Continuous Authentication with Mobile Devices

November 13, 2015
Author(s)
Kim B. Schaffer
Continuous Authentication has been around but has been met with several limitations. Recent development of mobile platforms are providing relief for many of these limitations as they take advantage of multiple sensors and sufficient processing power for

Analysis and Optimization in Smart Manufacturing based on a Reusable Knowledge Base for Process Performance Models

November 1, 2015
Author(s)
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasce?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, predictive, diagnostic, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework are based

A Neural Network Meta-Model and its Application for Manufacturing

October 29, 2015
Author(s)
David J. Lechevalier, Ronay Ak, Steven Hudak, Yung-Tsun T. Lee, Sebti Foufou
Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and

Automated uncertainty quantification analysis using system model and data

October 29, 2015
Author(s)
Saideep Nannapaneni, Sankaran Mahadevan, David Lechevalier, Anantha Narayanan Narayanan, Sudarsan Rachuri
Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient. Accomplishing all of them requires knowledge in four separate domains: statistics, data science

The NIST IAD Data Science Research Program

October 19, 2015
Author(s)
Bonnie J. Dorr, Peter C. Fontana, Craig S. Greenberg, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Martial Michel, Edmond J. Golden III, Wo L. Chang
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and evaluation series, introduced by the Information Access Division of the

Confidence Estimation in Stem Cell Classification

October 15, 2015
Author(s)
Peter Bajcsy, Jana Kosecka, Zahra Rajabi
We study the problem of supervised classification of stem cell colonies and confidence estimation of the attained classification labels. The problem is investigated in the application context of heterogeneity labels of stem cell colonies observed by using

On the Behavior of PRES Using Incomplete Judgment Sets

September 30, 2015
Author(s)
Ellen M. Voorhees
PRES, the Patent Retrieval Evaluation Score, is a family of retrieval system evaluation measures that combines recall and user effort to better reflect the quality of a retrieval run with respect to recall-oriented search tasks. Previous analysis of the

Analysis of the Second Phase of the 2013-2014 i-Vector Machine Learning Challenge

September 10, 2015
Author(s)
Desire Banse, G R. Doddington, Craig Greenberg, John M. Howard, Alvin F. Martin, Daniel Garcia-Romero, John J. Godfrey, Jaime Hernandez-Cordero, Lisa Mason, Alan McCree, Douglas A. Reynolds
In late 2013 and 2014, the National Institute of Standards and Technology (NIST) coordinated an i-vector challenge utilizing data from previous NIST Speaker Recognition Evaluations. Following the evaluation period, a second phase of the challenge was held

NIST Language Recognition Evaluation Plans For 2015

September 10, 2015
Author(s)
Alvin F. Martin, Craig S. Greenberg, John M. Howard, Desire Banse, G R. Doddington, Jaime Hernandez-Cordero, Lisa Mason
We discuss two NIST coordinated evaluations of automatic language recognition technology planned for calendar year 2015 along with possible additional plans for the future. The first is the Language Recognition i-V ector Machine Learning Challenge, largely
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