Sökning: "Error Code"
Visar resultat 1 - 5 av 246 uppsatser innehållade orden Error Code.
1. Decoding the surface code using graph neural networks
Master-uppsats, Göteborgs universitet / Institutionen för fysikSammanfattning : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. LÄS MER
2. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. LÄS MER
3. Code Synthesis for Heterogeneous Platforms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. LÄS MER
4. Java Auto Grader
Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : The process of grading code submissions in programming courses is time-consuming and error-prone. To address this issue, we propose a project that automates the testing and grading process for Java code submissions at Halmstad University. LÄS MER
5. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER