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1. Assessing Effects of Asymmetries, Dynamics, and Failures on a Cloud Simulator
Series: Technical Note (NIST TN)
Report Number: 1857
Published: 3/29/2015
Authors: Kevin L Mills, James J Filliben, Christopher E Dabrowski
Abstract: We characterize the effects of asymmetries, dynamics, and failures when introduced into a cloud computing simulator, which had previously been characterized under static, homogeneous configurations with various patterns of demand and supply. We aim t ...

2. An improved index of image quality for task-based performance of CT iterative reconstruction across three commercial implementations
Published: 2/13/2015
Authors: Olav Christianson, Joseph Chen, Zhitong Yang, Ganesh Saiprasad, Alden A Dima, James J Filliben, Adele P Peskin, Eliot L Siegel, Ehsan Samei

3. Energy Performance Sensitivity of a Net-Zero Energy Home to Design and Use Specifications
Published: 2/2/2015
Authors: Joshua D Kneifel, William M Healy, James J Filliben, Matthew T Boyd

Published: 12/7/2014
Authors: Kevin L Mills, James J Filliben, Junfei Xie, Yan Wan, Yi Zhou, Yu Lei
Abstract: Effective uncertainty evaluation is a critical step toward real-time and robust decision-making for complex systems in uncertain environments. A Multivariate Probabilistic Collocation Method (M-PCM) was developed to effectively evaluate system uncert ...

5. A Design-of-Experiments Approach to FEM Uncertainty Analysis for Optimizing Magnetic Resonance Imaging RF Coil Design
Published: 10/10/2014
Authors: Jeffrey T Fong, Nathanael A Heckert, James J Filliben, Li Ma, Karl F Stupic, Kathryn E Keenan, Stephen E Russek
Abstract: Using the RF module of COMSOL, we compute the magnetic flux density norm (BN) profiles for frequencies in the 76 to 100 MHz range, inside of a prototype birdcage coil, courtesy of Japan's National Institute of Radiological Sciences (NIRS), loaded wit ...

6. Determining Relative Importance and Best Settings for Genetic Algorithm Control Parameters
Published: 9/25/2014
Authors: Kevin L Mills, James J Filliben, Andrea Haines
Abstract: We intend to use a classic genetic algorithm (GA) to steer a population of cloud-computing simulators into behavioral directions that reveal degraded performance and system collapse. Such a method could serve as a design tool, empowering system engin ...

7. Generalizing Face Quality and Factor Measures to Video
Published: 9/24/2014
Authors: Yooyoung Lee, P Jonathon Phillips, James J Filliben, J. Ross Beveridge, Hao Zhang
Abstract: Methods for assessing the impact of factors and image-quality metrics for still face images are well-understood. The extension of these factors and quality measures to faces in video has not, however, been explored. We present a specific methodology ...

8. A New Approach to Finding a Risk-Informed Safety Factor for ,Fail-SafeŠ Pressure Vessel and Piping Design
Published: 8/24/2014
Authors: Jeffrey T Fong, Nathanael A Heckert, James J Filliben, Pedro Vincente Marcal, Stephen W. Freiman
Abstract: The purpose of this paper is to present a new approach to finding a risk-informed safety factor for the "fail-safe" design of a high-consequence engineering system. The new approach is based on the assumption of a 99.99 % confidence level and a 99.9 ...

9. Identifying Face Quality and Factor Measures for Video
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 8004
Published: 5/21/2014
Authors: Yooyoung Lee, P Jonathon Phillips, James J Filliben, J. Ross Beveridge, Hao Zhang
Abstract: This paper identifies important factors for face recognition algorithm performance in video. The goal of this study is to understand key factors that affect algorithm performance and to characterize the algorithm performance. We evaluate four factor ...

10. A Baseline for Assessing Biometrics Performance Robustness: A Case Study across Seven Iris Datasets
Published: 11/7/2013
Authors: Yooyoung Lee, James J Filliben, Ross J Micheals, Michael D Garris, P Jonathon Phillips
Abstract: We examine the robustness of algorithm performance over multiple datasets collected with different sensors. This study provide insight as to whether an algorithm performance derived from traditional controlled environment studies will robustly extrap ...

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