Sökning: "Perturbation optimization"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Perturbation optimization.
1. Characterization and Stabilization of Transverse Spatial Modes of Light in Few-Mode Optical Fibers
Master-uppsats, Linköpings universitet/InformationskodningSammanfattning : With the growing need for secure and high-capacity communications, innovative solutions are needed to meet the demands of tomorrow. One such innovation is to make use of the still unutilized spatial dimension of light in communications, which has promising applications in both enabling higher data traffic as well as the security protocols of the future in quantum communications. LÄS MER
2. Numerical Solutions and Parameter Sensitivity of the Lorenz System
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : In chaos theory there are many different problems still unsolved. One of which is the optimization of infinite time average functionals on manifolds. To try one of the different tools to solve this problem we want to find stable manifolds in chaotic dynamical systems. LÄS MER
3. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Transit system have a large importance in modern urban cities, with urban rail often acting as the central system with it efficient travel time and great capacity. As cities grow in population, so to does the usage of urban rail resulting in increased crowding on the platform and in the trains. LÄS MER
4. Optimization of Heat Exhaust in the Edge of Tokamaks via Controlled Magnetic Stochastization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The protection of plasma facing components from heat and particle overloads is paramount to ensure the operability and desired lifetime of magnetic fusion devices. The possibility of using external 3D magnetic perturbations to improve the steady-state heat exhaust in diverted tokamaks has been studied in this thesis. LÄS MER
5. Iterativa, gradientbaserade adversiella attacker på bildklassifierande neurala nätverk
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : Djupa neurala nätverk (DNN) används i ett brett spektrum av uppgifter som röstigenkänning, bildklassificering och spamidentifiering. Det har emellertid visat sig att nätverken kan felklassifiera indata när en liten, noga utvald störning läggs till den. LÄS MER