Sökning: "timing error"

Visar resultat 6 - 10 av 59 uppsatser innehållade orden timing error.

  1. 6. Voltage-Based Multi-step Prediction : Data Labeling, Software Evaluation, and Contrasting DRL with Traditional Prediction Methods

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Joakim Svensson; [2023]
    Nyckelord :Deep Reinforcement Learning; Multi-step Prediction; Time Series Forecasting; Djup Förstärkningsinlärning; Flerstegsprognos; Tidsserieprognos;

    Sammanfattning : In this project, three primary problems were addressed to improve battery data management and software performance evaluation. All solutions used voltage values in time together with various device characteristics. Battery replacement labeling was performed using Hidden Markov Models. LÄS MER

  3. 7. Leveraging Posits for the Conjugate Gradient Linear Solver on an Application-Level RISC-V Core

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

    Författare :David Mallasén Quintana; [2022]
    Nyckelord :Computer Arithmetic; Conjugate Gradient; Posit; IEEE-754; Floating Point; High-Performance Computing; RISC-V; Datoraritmetik; Konjugerad Gradient; Posit; IEEE-754; Flytande Punkt; Högpresterande Beräkningar; RISC-V;

    Sammanfattning : Emerging floating-point arithmetics provide a way to optimize the execution of computationally-intensive algorithms. This is the case with scientific computational kernels such as the Conjugate Gradient (CG) linear solver. Exploring new arithmetics is of paramount importance to maximize the accuracy and timing performance of these algorithms. LÄS MER

  4. 8. Validation of basal area growth functions for larch in Heureka DSS

    Master-uppsats, SLU/Southern Swedish Forest Research Centre

    Författare :Sebastian Carlzon; [2022]
    Nyckelord :validation; Heureka; Larix; Larix sibirica; Larix sukaczewii; Larix decidua; Larix x eurolepis; Siberian larch; European larch; hybrid larch; growth model validation; Heureka DSS; basal area growth;

    Sammanfattning : Larch is getting more common in Sweden. This highlights the need of reliable growth models for larch species in Heureka DSS. Precise and accurate growth models are essential for long-term forest planning. LÄS MER

  5. 9. Process monitoring of turbine blades : Monitoring of blade tip clearance using eddy current sensors

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Hampus Andersson; [2022]
    Nyckelord :Blade tip clearance; Blade tip timing; Eddy current sensor; Turbine monitoring; Maintenance.; Bladtoppspel; Bladvibrationer; Eddy current sensorer; Turbinövervakning; Underhåll.;

    Sammanfattning : This thesis has been a collaboration between the Royal Institute of Technology (KTH) and Siemens Energy which invest in the research facility at KTH. The objective was to investigate the use of eddy current sensors in real-time monitoring of turbine blades. LÄS MER

  7. 10. Exploring the column elimination optimization in LIF-STDP networks

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

    Författare :Mingda Sun; [2022]
    Nyckelord :SpikingNeuralNetwork SNN ; neuromorphiccomputing; memoryoptimization; Hebbian learning; Spike-timing-depend plasticity STDP learning; Spiking Neural Network SNN ; neuromorphic computing; minnesoptimering; Hebbisk inlärning; spike-timing-depend plasticity STDP inlärning;

    Sammanfattning : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. LÄS MER