Sökning: "Accurate Tracking"
Visar resultat 21 - 25 av 175 uppsatser innehållade orden Accurate Tracking.
21. Exposing memory accesses and branches in machine code to symbolic execution : Tracking instructions through binary raising
Master-uppsats, Linköpings universitet/Programvara och systemSammanfattning : In 2018, a new security vulnerability was discovered that existed in billions of processors from different manufacturers, using various architectures. A so-called spectre attack can be launched to exploit the vulnerability and cause cryptographic information to leak through side-channels of the targeted system. LÄS MER
22. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER
23. Parliament proceeding classification via Machine Learning algorithms: A case of Greek parliament proceedings
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The Greek Parliament is a critical institution for the Greek Democracy, where important decisions are made that affect the lives of millions of people. It consists of representatives from different political parties, and each party has a unique political ideology, stance, and agenda. LÄS MER
24. General Defocus Particle Tracking
Master-uppsats, KTH/Tillämpad fysikSammanfattning : Three-dimensional particle tracking is a valuable tool in microfluidics for obtaining information about a system. General Defocus Particle Tracking (GDPT) is a straightforward method of 3D particle tracking that only requires a single-camera plane, making it applicable to existing equipment in a laboratory. LÄS MER
25. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. LÄS MER