Sökning: "Fault injection"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden Fault injection.
1. Using Simulation-Based Testing to Evaluate the Safety Impact of Network Disturbances for Remote Driving
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The transportation industry has been transforming because of rapid digitalization and autonomy. Because of this the demand for more connected and autonomous vehicles is increasing for both private individuals and businesses. Reducing human interaction emphasizes the need for higher road safety. LÄS MER
2. Investigating the Effectiveness of Forward-Porting Bugs
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : This research investigates the effectiveness of the forward-porting approach employed in the Magma framework as a fault injection technique for evaluating fuzzers. The study aims to assess the use of Proof-of-Concepts in reproducing crashes in CVEs and evaluate the feasibility of forward-porting vulnerabilities into later software versions. LÄS MER
3. Fault current injection from Inverter Based Generation in the distribution grid : A case study of distribution grid on the Swedish island of Gotland
Master-uppsats, Uppsala universitet/Institutionen för elektroteknikSammanfattning : This work proposes recommendations for new guidelines for fault current injection on a distribution grid. These guidelines will help improve the transition towards renewable electrical energy generation. LÄS MER
4. An Empirical Investigation of the Acceptance of Chaos Engineering
Master-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : The digitization within today’s society sees no sign of decline. In recent years it has become more critical for organizations to value scalability since the system needs to be able to increase or decrease in performance. Thus, organizations are going towards microservice architectures. LÄS MER
5. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. LÄS MER