On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems

Abstract

In this article, we describe a general methodology for enhancing sensing accuracy in cyber-physical systems that involve structured human interactions in noisy physical environment. We define structured human interactions as domain-specific workflow. A novel workflow-aware sensing model is proposed to jointly correct unreliable sensor data and keep track of states in a workflow. We also propose a new inference algorithm to handle cases with partially known states and objects as supervision. Our model is evaluated with extensive simulations. As a concrete application, we develop a novel log service called Emergency Transcriber , which can automatically document operational procedures followed by teams of first responders in emergency response scenarios. Evaluation shows that our system has significant improvement over commercial off-the-shelf (COTS) sensors and keeps track of workflow states with high accuracy in noisy physical environment.

True Random Number Generator (TRNG) Utilizing FM Radio Signals for Mobile and Embedded Devices in Multi-Access Edge Computing

“…TRNG can be applied to various applications that use cryptographic algorithms, and is particularly effective for user authentication protocol, which is one of the important applications for security. Ding et al proposed an efficient multi-factor user authentication protocol using WSNs (Wireless Sensor Network) [26]. User authentication protocol must securely transfer the information related to user authentication, and uses cryptographic algorithms and a secret key to ensure security.…”