Sökning: "tidsberoende"

Visar resultat 16 - 20 av 116 uppsatser innehållade ordet tidsberoende.

1. 16. Photophysics of the polymer acceptor PF5-Y5 in organic photovoltaics : A first principles theory based study

   Master-uppsats, Karlstads universitet/Institutionen för ingenjörsvetenskap och fysik (from 2013)

   Författare :Anton Almén; [2022]
   Nyckelord :PF5-Y5; Non-fullerene-acceptor; NFA; polymer; fundamental; optical; gap; oxidation; reduction; exciton; binding; energy; oligomer; length; PF5-Y5; Non-fullerene-acceptor; NFA; polymer; fundamentalt; optiskt; gap; oxidation; reduktion; exciton; binding; energi; oligomerlängd;

   Sammanfattning : Non-fullerene Acceptors (NFAs) have gathered a great deal of interest for use inorganic photovoltaics (OPVs) due to recent breakthroughs in their power conversion efficiency and other advantages they offer over their Fullerene-based counterparts. In this work, a new promising non-fullerene polymer acceptor, PF5-Y5, have been studied using density functional theory and time-dependent density functional theory; and the effects that oligomer length, geometry relaxation and exchange-correlation interaction has on the exciton binding energies (the difference between optical and fundamental energy gaps) have been investigated. LÄS MER

3. 17. Memory and Reasoning in Deep Learning : Data efficiency of the SAM-based Two-memory (STM) Model

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Andrzej Perzanowski; [2022]
   Nyckelord :Deep learning; Data efficiency; Memory-augmented neural networks; Memory; Reasoning; bAbI challenge; Djupinlärning; Dataeffektivitet; Minnesförstärkta nätverk; Minne; Resonemang; bAbI-utmaning;

   Sammanfattning : Developing Deep Learning models capable of learning to reason and store memories are some of the most important current challenges in AI research. Finding out which network architectures are best suited for tackling this problem can guide research toward the most promising approaches. LÄS MER

4. 18. Kalman filters as an enhancement to object tracking using YOLOv7

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Axel Jernbäcker; [2022]
   Nyckelord :statistics; applied mathematics; machine learning; kalman filter; statistik; tillämpad matematik; maskinlärning; kalman filter;

   Sammanfattning : In this paper we study continuous tracking of airplanes using object detection models, namely YOLOv7, combined with a Kalman filter. The tracking should be able to be done in real-time. The idea of combining Kalman filters with an object detection model comes from the lack of time-dependent context in models such as YOLOv7. LÄS MER

5. 19. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Hairuo Gao; [2022]
   Nyckelord :Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

   Sammanfattning : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. LÄS MER

7. 20. Computation of Acoustic Wave Propagation Under Water

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Frida Thörn; [2022]
   Nyckelord :Wave equation; Helmholtz equation; Waveholtz iteration; finite difference method; summation by parts; energy method; point source; curvilinear coordinates; vågekvationen; helmholtz ekvation; waveholtz iteration; finita differens methoden; energimetoden; punktkälla; kurvlinjära koordinater; kroklinjiga koordinater; SBP;

   Sammanfattning : In this thesis we look at acoustic wave propagation under water. We look in particular at waves generated by a point source and what happens with the propagation when we model the bottom as flat or as curvilinear. We assume the source to be working at a certain frequency and therefore we model this problem by solving the Helmholtz equation. LÄS MER