病毒气溶胶传播与检测模型
Modeling of Viral Aerosol Transmission and Detection
摘要：
在本文中，我们提出研究疾病在大气中的传播机制作为一个工程问题。气溶胶传播是不包括身体接触的病毒传播机制中最重要的模式，其中气流携带病毒的液滴长距离传播。在整个这项工作中，我们研究了这些液滴的运输作为一个分子通信问题，其中一个没有控制的传输源，但一个强大的接收器可以使用生物传感器设计。为此，我们提出了一个完整的系统模型，并在一定的约束和边界条件下推导出传输信道的端到端的数学模型。我们推导出连续源，如呼吸和射流或脉冲源，如咳嗽和打喷嚏的系统响应。除了发射器和通道，我们假设一个接收器架构组成的空气采样器和硅纳米线场效应晶体管。然后，我们制定了一个检测问题，以最大限度地提高似然决策规则和最小化相应的漏检概率。最后，我们提出了几个数值结果来观察影响性能的参数的影响，并证明了所提出的设置在相关应用中的可行性。
英文摘要：
In this paper, we propose studying the disease spread mechanism in the atmosphere as an engineering problem. Aerosol transmission is the most significant mode among the viral transmission mechanisms that do not include physical contact, where airflows carry virus-laden droplets over long distances. Throughout this work, we study the transport of these droplets as a molecular communication problem, where one has no control over the transmission source, but a robust receiver can be designed using bio-sensors. To this end, we present a complete system model and derive an end-to-end mathematical model for the transmission channel under certain constraints and boundary conditions. We derive the system response for both continuous sources such as breathing and jet or impulsive sources such as coughing and sneezing. In addition to transmitter and channel, we assumed a receiver architecture composed of air sampler and Silicon Nanowire field-effect transistor. Then, we formulate a detection problem to maximize the likelihood decision rule and minimize the corresponding missed detection probability. Finally, we present several numerical results to observe the impact of parameters that affect the performance and justify the feasibility of the proposed setup in related applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
