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Xiaoyu Alan Zheng, Johannes Soons, Robert Thompson National Institute of Standards and Technology alan.zheng@nist.gov (301) 975-4095 2 Disclaimer Certain commercial equipment, instruments, or materials are identified in this presentation to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology or the National Institute of Justice, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose. www.nist.gov/forensics/ballisticsdb 3 Criticism on Subjectivity • Pattern evidence have come under scrutiny in recent years due to the subjective nature of the conclusions. • NAS 2009 “..the decision of the toolmar...

Xiaoyu Alan Zheng1, Johannes A. Soons1 Robert M. Thompson2, Mingsi Tong1 1Engineering Physics Division 2Special Programs Office National Institute of Standards and Technology alan.zheng@nist.gov (301) 975-4095 1 Disclaimer Certain commercial equipment, instruments, or materials are identified in this presentation to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology or the National Institute of Justice, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose. 2 Goal: • Open-access research database of bullet and cartridge case toolmark data consisting of reflectance microscopy images and three dimen...

Employee Password Usability Survey Yee-Yin Choong Visualization and Usability Group Information Access Division Information Technology Laboratory National Institute of Standards and Technology September 10, 2015  Online Survey  Anonymous  Questions on password management and computer security  Demographics  US Government Workers  4,573 Department of Commerce (DOC) employees Employee Password Management 1 Demographics  Gender  Education 3.3% 39.2% 57.5% 0% 20% 40% 60% 80% 100% na Female Male 1.4% 2.7% 15.6% 31.7% 34.4% 5.3% 7.0% 0% 20% 40% 60% 80% 100% na Prof degree PhD MS BS Asso HS 2 Demographics  Age (years)  Service Length (years) 2.0% 2.4% 18.6% 29.8% 23.1% 20.5% 3.5% 0...

1 NISTIR 7501 NIST Intercomparison Exercise Program for Organic Contaminants in the Marine Environment: Description and Results of 2007 Organic Intercomparison Exercises Michele M. Schantz Reenie M. Parris Stephen A. Wise 2 NISTIR 7501 NIST Intercomparison Program for Organic Contaminants in the Marine Environment: Description and Results of 2007 Organic Intercomparison Exercises Michele M. Schantz, Reenie M. Parris, and Stephen A. Wise Analytical Chemistry Division National Institute of Standards and Technology Gaithersburg, MD 20899-8392 June 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology James M. Turner, Acting ...

CH53K Design Models; Can They Support System Sustainment? Tom Parks April 6, 2017 MBE Summit 2017 2 CH53K King Stallion* * Picture courtesy of Sikorsky Aircraft • USMC heavy lift replacement for CH53E • Triple-turbine engine, 22,500hp • Lift capacity ~14 tons • Mission radius at max lift capacity ~110 nm 3 Bottom Line Up Front • Technical data provided in proprietary CAD formats doesn’t work for DLA or other sustainment activities (e.g., NAVSUP) • DLA R&D Project got Navy’s attention and Navy is working the fix (i.e., 3D PDF + STEP file) • Native CAD files must be comprehensive and fully annotated to produce useful 3D PDF files 4 Background • Problem: CH53K program planned to deliver technical data to DLA and NAVSUP as native CATIA files. Neither DLA nor NAV...

The Role of Databases in Forensic Science Karen Kafadar Department of Statistics University of Virginia kkafadar@virginia.edu http://www.stat.virginia.edu 1 OUTLINE 1. Purposes of Databases 2. Method Development (Sufficiency: Realistic examples) 3. Method Validation (Representativeness) 4. Method Implementation (Completeness) 5. Illustrations 6. Summary 2 Statistics & Data Science of analyzing data, characterizing uncertainties • Biology: extinction/abundance of species; characterizing genetic expression (millions of SNPs) in response to stimuli; associating genotypes with phenotypes • Physics: data analysis of high-energy physics (HEP) experiments to discover new particles; estimating ‘big G’ with uncertainty; existence of global warming • Engineering: product design &...

Combinatorial Methods in Software Testing Rick Kuhn National Institute of Standards and Technology Gaithersburg, MD Federal Computer Security Managers Forum, Dec. 6, 2011 NIST Combinatorial Testing project • Goals – reduce testing cost, improve cost-benefit ratio for testing • Merge automated test generation with combinatorial methods • New algorithms to make large-scale combinatorial testing practical • Accomplishments – huge increase in performance, scalability + widespread use in real-world applications • Joint research with many organizations What is NIST and why are we doing this? • A US Government agency • The nation’s measurement and testing laboratory – 3,000 scientists, engineers, and support staff including 3 Nobel laureat...

Combinatorial Methods for Discrete Event Simulation of a Grid Computer Network Rick Kuhn Computer Security Division National Institute of Standards and Technology Gaithersburg, MD kuhn@nist.gov ModSim World, 14 Oct 09 Overview • NIST is a US Government agency • The nation’s measurement and testing laboratory – 3,000 scientists, engineers, and support staff including 3 Nobel laureates • Research in physics, chemistry, materials, manufacturing, computer science, including • network security • combinatorial methods and testing Question: can combinatorial methods help us find attacks on networks? Experiment: find deadlock configurations with grid computer network simulator. Compare: • random simulation inputs • covering arrays of 2-way, 3-way, 4-...

Combinatorial Testing Rick Kuhn National Institute of Standards and Technology Gaithersburg, MD Carnegie-Mellon University, 26 January 2010 Tutorial Overview 1. Why are we doing this? 2. What is combinatorial testing? 3. How is it used and how long does it take? 4. What tools are available? 5. What's next? What is NIST and why are we doing this? • A US Government agency • The nation’s measurement and testing laboratory – 3,000 scientists, engineers, and support staff including 3 Nobel laureates Analysis of engineering failures, including buildings, materials, and ... Research in physics, chemistry, materials, manufacturing, computer science Software Failure Analysis • We studied software failures in a variety of fields including...