模型验证用于人口检测假货的模型验证
1United States Mint, Philadelphia, Pennsylvania, USA.
Journal of forensic sciences
|September 29, 2023
概括
现代制造使得高品质的假货成为可能. 这项研究使用硬币重量变化和反向质量工程来检测欺诈性物品,在被询问的组中发现了超过37%的不合格硬币.
科学领域:
- 法医科学 法医科学 法医科学
- 制造过程分析 制造过程分析
- 质量控制 质量控制 质量控制
背景情况:
- 由于先进的全球制造能力,假冒商品的质量显著提高.
- 验证制造品的真实性,包括硬币,依赖于分析产品固有的特征.
- 检测欺诈涉及将"示例"组与"被质疑"组进行比较,使用既有测试协议.
研究的目的:
- 通过重建技术验证和增强以前报告的假冒检测模型.
- 为了提高模型的准确性,并确认以前关于欺诈性项目的结论.
- 为了证明分析制造工艺变化的有效性,以检测欺诈行为.
主要方法:
- 基于单个项目的标准测试,为"示例"和"受访者"组开发预测模型,以硬币重量为例.
- 应用反向质量工程方法来分析单个零件之间的差异,并确定工艺能力.
- 使用重建技术重新创建模型验证的证据集.
主要成果:
- 分析证实",被质疑"的硬币可能有超过37%的重量不符合规定.
- 制造过程的能力,而不是仅仅遵守规格,可以区分真实的和欺诈性的物品.
- 该研究表明,除了原始建模软件之外,整合额外的分析方法可以改善决策结果.
结论:
- 拟议的方法通过分析制造工艺变化,有效地识别欺诈性物品.
- 反向质量工程和过程能力分析是用于假冒检测的强大工具.
- 增强的分析方法可以显著提高欺诈检测模型的准确性和可靠性.
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