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A Framework for Detecting Hazardous Events Occurring in Transit with AutoID Technologies

机译:一种检测在运输过程中的危险事件的框架及其自动化技术

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The increased risk in cross-border trafficking of drugs and transportation of hazardous materials has motivated US Agencies such as the Department of Homeland Security to invest in scientific and engineering research that provides detection, tracking and monitoring of these dangerous materials. This research evaluates the impact of a novel multi-modal automatic identification (MMAID) technology which identifies, alerts, and monitors the movement of low dose radiation materials. The MMAID technology utilizes nano-composite scintillators, radio frequency identification transponders, and global positioning systems to effectively detect and communicate specific variables in order to prevent catastrophic events. This transcript details the MMAID framework that integrates the aforementioned technologies and the proposed testing scenarios in order to evaluate its impact on enhanced public safety and security through reduced radiation exposures. Also, the cost impacts and the viability of implementing such technologies that include automatic alerting capabilities will be described.
机译:跨境贩运毒品和运输的风险增加,促使美国机构等国土安全部门投资科学和工程研究,提供了对这些危险材料的检测,跟踪和监测。该研究评估了一种识别,警报和监测低剂量辐射材料运动的新型多模态自动识别(MMAID)技术的影响。 MMAID技术利用纳米复合闪烁体,射频识别转发器和全球定位系统,有效地检测和传达特定变量,以防止灾难性事件。该转录物详述了集成上述技术的MMAID框架和所提出的测试方案,以通过减少辐射曝光来评估其对增强的公共安全和安全的影响。此外,将描述成本影响以及实现包括自动警报能力的技术的可行性。

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