Sökning: "Real-Time Kernel"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden Real-Time Kernel.

1. 1. Clustering on groups for human tracking with 3D LiDAR

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Simon Utterström; [2023]
   Nyckelord :Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

   Sammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER

3. 2. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

   Författare :Felix Boltshauser; [2023]
   Nyckelord :Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

   Sammanfattning : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. LÄS MER

4. 3. Time-Triggered Execution of 3-Phase Tasks on the RP2040 — A Framework Avoiding Memory Contention by Design

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

   Författare :Everita Annemarija Samusa; [2023]
   Nyckelord :Commercial-off-the-shelf; Execution framework; Multi-core; Real-time; 3- phase tasks; Kommersiell standard; Ramverk för utförande; Flerkärnig; Realtid; 3-fas uppgifter;

   Sammanfattning : Multi-core processors have emerged as an effective solution for handling complex tasks that cannot be efficiently processed by unicore processors. Their usage is driven by the potential to achieve high processing power while minimizing power consumption. LÄS MER

5. 4. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Andre Ráth; [2022]
   Nyckelord :5G; Deep Learning; Positioning; Channel State Information; CSI; Deep-learning; neural-network; particle-filter; particle; filter; Channel Matrix; Beamformed Channel Matrix; localization; real-world; data-driven; 5G testbench; basestation; Technology and Engineering;

   Sammanfattning : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. LÄS MER

7. 5. Security vs performance in a real-time separation kernel : An analysis for multicore RISC-V architecture

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

   Författare :Henrik Kultala; [2022]
   Nyckelord :Separation kernel; RISC-V; Multicore; Real-time system; Performance analysis; Open-source; Separationskärna; RISC-V; Multicore; Realtidssystem; Prestandaanalys; Öppen källkod;

   Sammanfattning : In this thesis, we explored the possibility of introducing a few vulnerabilities to a separation kernel to increase its performance. We made modifications to S3K, an open-source separation kernel that is in the final stages of being designed. LÄS MER