Leonardo Passig Horstmann

• Master of Science
• Universidade Federal de Santa Catarina

Building reliable simulation scenarios and digital twins is a keystone for the development process of critical systems such as autonomous vehicles. In this sense, the ability to integrate simulators with software-, hardware-, and even vehicles-in-the-loop is fundamental for increasing the reliability of the simulations. Nevertheless, guaranteeing t...

Simulations are key steps in the design, implementation, and verification of autonomous vehicles (AV). Parallel to this, typical simulation tools fail to integrate the entirety of the aspects related to the complexity of AV applications, such as data communication delay, security, and the integration of software/hardware-in-the-loop and other simul...

Monitoring the performance of multicore embedded systems is crucial to properly ensure their timing requirements. Collecting performance data is also very relevant for optimization and validation efforts. However, the strategies used to monitor and capture data in such systems are complex to design and implement since they must not interfere with t...

Industrial Internet of Things (IIoT) gateways are affected by many cybersecurity threats, compromising their security and dependability. These gateways usually represent single points of failure on the IIoT infrastructure. When compromised, they can disrupt the entire system, including the security of the IIoT devices and the confidentiality and pr...

In this paper, we use multivariate machine learning-based predictors to replace missing data and propose a mechanism to evaluate and track correctness by estimating its confidence level whenever successive missing data points occur. The proposed solution relies on the idea of confidence attribution, which assigns a value to every measurement, indic...

In this paper, we present a Semi-Supervised Deep Learning approach for anomaly detection of Wind Turbine generators based on vibration signals. The proposed solution is integrated into an IoT Platform as a real-time Workflow. The Workflow is responsible for the whole detection process when a new sample is inserted in the IoT Platform, performing da...

In this paper, we present an approach to assess the schedulability and scalability of CPS Networks through an algorithm that is capable of estimating the load of the network as its utility grows. Our approach evaluates both the network load and the laxity of messages, considering its current topology and real-time constraints while abstracting envi...