Surveying ionizing radiations in real time using a smartphone

Surveying ionizing radiations of the surrounding with a smartphone provides a low-cost and convenient utility for the general public. We developed a smartphone application(App) that uses the built-in camera with a CMOS sensor and a radiation signal extraction algorithm.After a calibration through a series of radiation exposures,the App could display radiation dose rate and cumulative dose in real time without requiring covering the camera lens. A smartphone with this App can be used as a fast survey tool for ionizing radiations.

A forwarding graph embedding algorithm exploiting regional topology information

转网络功能虚拟化(network function virtualization,NFV)是近年提出一种用于动态和有效地构建和管理网络功能的新技术。如何为虚拟网络功能的转发图分配资源是NFV研究中的关键难题之一。本文将转发图映射(forwarding graph embedding,FGE)问题建模为0-1整数规划问题,旨在增加服务提供商的收益并降低开销,同时满足受限资源和虚拟功能需要的约束。接着,设计了量化每个底层节点嵌入潜力的新型区域资源聚类指标,并提出基于拓扑感知的转发图映射算法,即基于区域资源聚类的转发图算法(regional resource cluster-FGE,RRC-FGE)。最后,通过C++语言实现了该算法,仿真结果表明:服务提供商的收益增加了50多个单位,接受率提高了15%以上,同时成本下降了60多个单位。