Sökning: "unbounded data"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden unbounded data.

  1. 1. MINIMIZING INTER-CORE DATA-PROPAGATION DELAYS IN PARTITIONED MULTI-CORE REAL-TIME SYSTEMS USING SCHEDULING HEURISTICS

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

    Författare :Emil Åberg; [2021]
    Nyckelord :Embedded Systems Scheduling Heuristic Multi-Core;

    Sammanfattning : In the field of embedded systems, computers embedded into machines ranging from microwaveovensto assembly lines impact the physical world. They do so under tight real-time constraintswith ever-increasing demand for computing power and performance. LÄS MER

  3. 2. Experiments in speaker diarization using speaker vectors

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

    Författare :Ming Cui; [2021]
    Nyckelord :Speaker Diarization; Embedding Extraction Module; Deep Learning; Supervised method; Unsupervised method; Talardiarisering; inbäddning av extraktionsmodul; djupinlärning; övervakad metod; oövervakad metod;

    Sammanfattning : Speaker Diarization is the task of determining ‘who spoke when?’ in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. It has emerged as an increasingly important and dedicated domain of speech research. LÄS MER

  4. 3. TIGHTER INTER-CORE DELAYS IN MULTI-CORE EMBEDDED SYSTEMS UNDER PARTITIONED SCHEDULING

    Magister-uppsats, Mälardalens högskola/Inbyggda system

    Författare :Tin Vidović; Lamija Hasanagić; [2020]
    Nyckelord :Embedded Systems; data-propagation delays; inter-core data-propagation delays; constraint programming; Rubus-ICE;

    Sammanfattning : There exists an increasing demand for computing power and performance in real-time embedded systems, as new, more complex customer requirements and function-alities are appearing every day. In order to support these requirements and func-tionalities without breaking the power consumption wall, many embedded systems areswitching from traditional single-core hardware architectures to multi-core architec-tures. LÄS MER

  5. 4. Streaming Graph Partitioning with Graph Convolutional Networks

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

    Författare :Michal Zwolak; [2020]
    Nyckelord :;

    Sammanfattning : In this work, we present a novel approach to the streaming graph partitioning problem which handles unbounded streams.Graph partitioning is a process of dividing a graph into groups of nodes or edges. LÄS MER

  7. 5. Real-time Outlier Detection using Unbounded Data Streaming and Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Datavetenskap

    Författare :Emelie Åkerström; [2020]
    Nyckelord :Outlier Detection; Unbounded Data Streaming; Machine Learning; Clustering; MiniBatchKMeans; LSTM AutoEncoder; Streaming; Network Monitoring;

    Sammanfattning : Accelerated advancements in technology, the Internet of Things, and cloud computing have spurred an emergence of unstructured data that is contributing to rapid growth in data volumes. No human can manage to keep up with monitoring and analyzing these unbounded data streams and thus predictive and analytic tools are needed. LÄS MER