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Related Concept Videos

Adjusting a Traverse01:12

Adjusting a Traverse

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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Design Example: Traverse Angle Computations01:25

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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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Angular Determination of Toolmarks Using a Computer-Generated Virtual Tool.

Ryan Spotts1, L Scott Chumbley1, Laura Ekstrand1

  • 1Ames Laboratory, Iowa State University, 2220 Hoover Hall, Ames, IA, 50011.

Journal of Forensic Sciences
|May 2, 2015
PubMed
Summary
This summary is machine-generated.

Computer-generated virtual toolmarks accurately identified physical toolmarks in a blind study. This research demonstrates the potential of virtual toolmark analysis for forensic science applications.

Keywords:
algorithmcomputer simulationforensic sciencestatistical comparisontoolmarkvirtual toolmark

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Area of Science:

  • Forensic Science
  • Digital Forensics
  • Mechanical Engineering

Background:

  • Toolmark analysis is crucial in forensic investigations.
  • Current methods rely on physical comparisons, which can be subjective.
  • Digital tools offer potential for objective and repeatable analysis.

Purpose of the Study:

  • To evaluate the efficacy of virtual toolmarks in identifying physical toolmarks.
  • To determine if virtual toolmarks can characterize the angle of incidence of physical toolmarks.
  • To assess the accuracy of a statistical algorithm in matching virtual and physical toolmarks.

Main Methods:

  • Physical toolmarks were created using screwdrivers at controlled angles.
  • An optical profilometer captured 3D topography data of tools and marks.
  • Developed software generated virtual toolmarks from topography data.
  • A statistical algorithm compared virtual and physical toolmarks.

Main Results:

  • The algorithm correctly identified 100% of the physical toolmarks.
  • Virtual toolmarks were generated at angles from 30° to 85° in 5° increments.
  • The average misidentification of the angle of incidence was -6.12°.

Conclusions:

  • Virtual toolmarks show high accuracy in identifying physical toolmarks.
  • The developed method shows promise for objective toolmark analysis.
  • Further research is needed to understand and minimize angular misidentification.