Sökning: "network embedded cloud"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden network embedded cloud.

  1. 1. 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. 2. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Ahmed Sikh; Joel Axén; [2023]
    Nyckelord :cloud-native; externalized states; latency; simulator; Redis; PostgreSQL; moln-nativ; externaliserade tillstånd; latens; simulator; Redis; PostgreSQL;

    Sammanfattning : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. LÄS MER

  4. 3. A SYSTEMATIC REVIEW OF ATTRIBUTE-BASED ENCRYPTION FOR SECURE DATA SHARING IN IoT ENVIRONMENT.

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Faith Nnenna Onwumere; [2023]
    Nyckelord :IoT; ABE; Attribute-based Encryption; CP-ABE; KP-ABE; Internet of Things; Cryptography; Smart Devices;

    Sammanfattning : Internet of Things (IoT) refers to a network of global and interrelated computing devices that connects humans and machines. It connects anything that has access to the internet and creates an avenue for data and information exchange. LÄS MER

  5. 4. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  7. 5. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation

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

    Författare :Yang Wang; [2022]
    Nyckelord :Gazebo; YOLO; Object detection; Fault tolerance; Fault Injection; Network pruning; Gazebo; YOLO; Objektdetektering; Feltolerans; Felinjektion; Nätverk beskärning;

    Sammanfattning : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. LÄS MER