Essays about: "resursutnyttjande"

Showing result 1 - 5 of 44 essays containing the word resursutnyttjande.

  1. 1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Javier Ferre Martin; [2023]
    Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE

  3. 2. How is knowledge transfer management used to improve efficient use of human potential? : A case study of knowledge management at a Swedish manufacturing company

    University essay from KTH/Produktionsutveckling

    Author : Tuva Fors; [2023]
    Keywords : ;

    Abstract : Within the manufacturing industry, optimising resource utilisation is crucial for strengthening competitive advantage. However, the significance of acknowledging organisational knowledge as a valuable resource is often overlooked. READ MORE

  4. 3. Efficient FE Modeling of Large Casted Parts

    University essay from KTH/Maskinkonstruktion

    Author : Lalitha Swetha Amirapu; Haswanth Yalamanchili; [2023]
    Keywords : FE modeling; Large casted parts; Meshing techniques; Mid-surface modeling; FE-modellering; Stora gjutna delar; Meshing-tekniker; Mid-Surface modellering;

    Abstract : The design and analysis of large casted parts present significant challenges due to their complex geometry. Finite Element (FE) modeling is a vital tool for understanding the performance of casted components. However, the computational requirements associated with these parts often lead to excessive processing times and resource utilization. READ MORE

  5. 4. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Suresh Rishi Nandan; [2023]
    Keywords : Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Abstract : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. READ MORE

  6. 5. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lucas Alava Peña; [2023]
    Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

    Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE