Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios

\"Internet of Things\": An Emerging Real-Time Technology for Environmental Health Monitoring

Real-Time Structural Health Monitoring: A Comparison of Analytical Techniques

This paper discusses a Real-Time Structural Health Monitoring (SHM) technique developed to predict the presence and extent of multiple delaminations in a composite structure. This technique was developed integrating Artificial Neural Networks (ANN) and the Damage Relativity Analysis Technique (DRAT). This SHM technique uses strain signatures emanating from the surface of the structure as damage...

Real-Time Data Acquisition and Structural Health Monitoring System

This paper describes a method for measuring strain and stress values in a real world project through the use of sensors, data acquisition hardware, and the LabVIEW software program. The proposed method describes how real time information about mechanical properties can be gathered within a single user-friendly program. The ability to make drastic or life-saving decisions during an air mission i...

From Simulated to Real Scenarios: A Framework for Multi-UAVs

In this paper a framework for simulation of Unmanned Aerial Vehicles (UAVs), oriented to rotary wings aerial vehicles, is presented. It allows UAVs simulation for stand-alone agent or multi-agent exchanging data in cooperative scenarios. The framework, based on modularity and stratification in different specialized layers, allows an easy switching from simulated to real environments, thus reduc...

Real-Time Distributed Complex Event Processing for Big Data Scenarios

The PhD thesis presented in this paper aims for the development of novel methods that enable the realization of highly scalable, highly reliable distributed Complex Event Processing systems that are capable of processing huge amounts of incoming events within a guaranteed time.