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Search Publications by: Jun-Feng Song (Fed)

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Displaying 1 - 25 of 292

Pilot Study on Deformed Bullet Correlation

January 1, 2020
Author(s)
Zhe Chen, Jun-Feng Song, Johannes A. Soons, Robert M. Thompson, Xuezeng Zhao
Most studies on bullet identification address test fire bullet that have near pristine striation marks on the land engraved areas (LEAs). However, in case work, bullets found at a crime scene may be severely deformed or fragmented. The resulting missing

Emerging Technology in Comparisons

March 1, 2019
Author(s)
Theodore V. Vorburger, Jun-Feng Song, Nicholas D. Petraco, Ryan Lilien
This chapter is designed to introduce the reader to emerging technologies relating to 3D surface topography measurement and comparative analysis. While the chapter includes several technical terms and a few equations, effort has been made to omit content

Estimating Error Rates for Firearm Evidence Identifications in Forensic Science

March 1, 2018
Author(s)
Jun-Feng Song, Theodore V. Vorburger, Wei Chu, James H. Yen, Johannes A. Soons, D Ott, Nien F. Zhang
Estimating error rates for firearm evidence identification is a fundamental challenge in forensic science. This paper describes the recently developed Congruent Matching Cells (CMC) method for image comparisons, its application to firearm identification

Establishing a World-Wide Unified Rockwell Hardness Scale Using Standard Diamond Indenters

February 19, 2017
Author(s)
S Desogus, A Germak, H Ishida, T Polzin, H Yang, Jun-Feng Song, Samuel Low, David J. Pitchure
Recently developed microform measurement techniques have reduced the measurement uncertainties in the geometry of Rockwell diamond indenters. It is now possible to establish standard grade Rockwell diamond indenters characterized by high geometry