کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8863169 1620200 2018 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Machine learning techniques to repurpose Uranium Ore Concentrate (UOC) industrial records and their application to nuclear forensic investigation
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات ژئوشیمی و پترولوژی
پیش نمایش صفحه اول مقاله
Machine learning techniques to repurpose Uranium Ore Concentrate (UOC) industrial records and their application to nuclear forensic investigation
چکیده انگلیسی
The discipline of nuclear forensics has emerged in response to the illicit trafficking of nuclear materials and aims to determine the provenance of intercepted materials by comparing them to a database of samples of known origin. One of the major challenges of this approach is the availability of reliable inventory data for the various radioactive materials that may be intercepted. Analysing the representative samples is a lengthy process and it can be difficult to obtain data from legacy materials. Therefore previous nuclear forensic studies have often been based on datasets of very limited size. We propose an approach to repurpose pre-existing quality control inventory data from Uranium Ore Concentrates (UOCs) such that it can be exploited for nuclear forensic investigation. Furthermore, it is demonstrated that pattern recognition techniques can be used to successfully utilise this data to reliably infer the country and deposit group of material origin. We have also demonstrated methods for overcoming the issues associated with quality control records; missing data and data represented as less than values.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Geochemistry - Volume 91, April 2018, Pages 221-227
نویسندگان
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