Sökning: "constrained devices"

Visar resultat 6 - 10 av 128 uppsatser innehållade orden constrained devices.

1. 6. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

3. 7. Dynamic container orchestration for a device-cloud continuum

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

   Författare :Camilo Alfonso Rodriguez Garzon; [2023]
   Nyckelord :Edge computing; kubernetes operator; dynamic scheduling; Edge computing; Kubernetes-operatör; dynamisk schemaläggning;

   Sammanfattning : Edge computing has emerged as a paradigm to support the growing demand for real-time processing of data generated at the edge of the network. As the devices at the edge are constrained, one of the challenges in the area is how to schedule workloads. LÄS MER

4. 8. Anomaly Detection for Network Traffic in a Resource Constrained Environment

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Pontus Lidholm; Gaia Ingletto; [2023]
   Nyckelord :Network Traffic; Anomaly Detection; Embedded Systems; Machine Learning; Random Forest;

   Sammanfattning : Networks connected to the internet are under a constant threat of attacks. To protect against such threats, new techniques utilising already connected hardware have in this thesis been proven to be a viable solution. LÄS MER

5. 9. Optimizing Realistic 3D Facial Models for VR Avatars through Mesh Simplification

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

   Författare :Beiqian Liu; [2023]
   Nyckelord :Mesh Simplification; Virtual Reality; Realistic Avatars; 3D Face Reconstruction;

   Sammanfattning : The use of realistic 3D avatars in Virtual Reality (VR) has gained significant traction in applications such as telecommunication and gaming, offering immersive experiences and face-to-face interactions. However, standalone VR devices often face limitations in computational resources and real-time rendering requirements, necessitating the optimization of 3D models through mesh simplification to enhance performance and ensure a smooth user experience. LÄS MER

7. 10. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

   Författare :Shihang Zhou; [2023]
   Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

   Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER