Inter-laboratory workflow for forensic applications: Classification of car glass fragments
The International Atomic Energy Agency (IAEA) has coordinated a research project entitled ”Enhancing Nuclear Analytical Techniques to Meet the Needs of Forensics Sciences” (CRP F11021) with the aim of empowering accelerator and reactor based techniques for applications in forensic sciences. One of the key topics of this project was the analysis and classification of forensic glass specimens using Ion Beam Analysis (IBA) techniques and in particular, Particle Induced X-ray Emission (PIXE). To this end, glass fragments from car windows from different car models and manufacturers provided by the Israeli police force were subjected to PIXE measurements at three laboratories to determine their elemental compositions and possible glass corrosion. Major and trace elements were measured and given as an input to machine learning (ML) algorithms in order to develop classification models to determine the origin of the glass samples. First, the authors have developed ML models based on the results obtained at each lab. These models successfully classified glass fragments into different car models with an accuracy> 80% on external test sets. Next, the authors demonstrated that following an appropriate pre-processing step, results from different labs could be combined into a single unified database for the derivation of a classification model. This model demonstrates good performances that matches or surpasses the performances of models derived from the individual labs. This finding paves the way towards establishing an international database that is composed of measurements from various PIXE labs. The authors believe that using this methodology of combining various sources of measurements will improve models’ performances and generality and will make the models accessible to law enforcement agencies around the world.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/38876853
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Supplemental Notes:
- © 2022 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Kaspi, Omer
- Israelsohn-Azulay, Osnat
- Zidon, Yigal
- Rosengarten, Hila
- Krmpotić, Matea
- Gouasmia, Sabrina
- Radović, Iva Bogdanović
- Jalkanen, Pasi
- Liski, Anna
- Mizohata, Kenichiro
- Räisänen, Jyrki
- Girshevitz, Olga
- Senderowitz, Hanoch
- Publication Date: 2022-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 111216
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Serial:
- Forensic Science International
- Volume: 333
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0379-0738
- EISSN: 1872-6283
- Serial URL: http://fsijournal.org/
Subject/Index Terms
- TRT Terms: Crash reconstruction; Forensic science; Safety glass; Window glass; X ray analysis
- Geographic Terms: Israel
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01848144
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 7 2022 4:13PM