José Luis Conradi Hoffmann

According to our database, José Luis Conradi Hoffmann authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Monitoring the performance of multicore embedded systems without disrupting its timing requirements.

Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Des. Autom. Embed. Syst., December, 2023

A Secure IIoT Gateway Architecture based on Trusted Execution Environments.

Antônio Augusto Fröhlich, Leonardo Passig Horstmann, José Luis Conradi Hoffmann

J. Netw. Syst. Manag., April, 2023

Data-Centric Design for Formal Verification of Vehicle Monitoring.

José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering, 2023

Using Formal Methods for On-The-Fly Time Series Verification.

José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich

Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

2022

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database.

José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Dataset, May, 2022

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems.

José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

IEEE Trans. Computers, 2022

Integrating Autonomous Vehicle Simulation Tools using SmartData.

José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich

Proceedings of the XII Brazilian Symposium on Computing Systems Engineering, 2022

Using Formal Methods to Specify Data-Driven Cyber-Physical Systems.

José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Matheus Wagner, Felipe Vieira, Mateus Martínez De Lucena, Antônio Augusto Fröhlich

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

A PUF-based Secure Bootstrap Protocol for Cyber-Physical System Networks.

José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

SmartData Safety: Online Safety Models for Data-Driven Cyber-Physical Systems.

José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Proceedings of the IECON 2022, 2022

Embedding Anomaly Detection Autoencoders for Wind Turbines.

José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021

Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals.

José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Mateus Martínez De Lucena, Gustavo Medeiros de Araújo, Antônio Augusto Fröhlich, Marcos Hisashi Napoli Nishioka

Appl. Artif. Intell., 2021

Performance Monitoring Features in EPOS.

Leonardo Passig Horstmann, José Luís Conradi Hoffmann, Antônio Augusto Fröhlich

Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, 2021

2020

Modeling Time Requirements of CPS in Wireless Networks.

Cesar Huegel Richa, Mateus Martínez De Lucena, Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Sensors, 2020

Data Confidence Applied to Wind Turbine Power Curves.

Roberto Milton Scheffel, José Luís Conradi Hoffmann, Leonardo Passig Horstmann, Gustavo Medeiros de Araújo, Antônio Augusto Fröhlich, Tiago Kaoru Matsuo, Vitor Pohlenz, Marcos Hisashi Napoli Nishioka

Proceedings of the X Brazilian Symposium on Computing Systems Engineering, 2020

2019

Anomaly Detection in Multicore Embedded Systems.

José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich

Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, 2019

A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning.

Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019