Sökning: "unbounded data"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden unbounded data.

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

    Magister-uppsats, Mälardalens högskola/Inbyggda system; 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

  2. 2. 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

  3. 3. 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

  4. 4. MahlerNet : Unbounded Orchestral Music with Neural Networks

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

    Författare :Elias Lousseief; [2019]
    Nyckelord :music; composition; algorithmic composition; neural networks; recurrent neural networks; RNN; variational autoencoder; VAE; LSTM; BALSTM; MusicVAE; PerformanceRNN; BachProp; musik; komposition; algoritmisk komposition; neurala nätverk; recurrent neural networks; RNN; variational autoencoder; VAE; LSTM; BALSTM; MusicVAE; PerformanceRNN; BachProp;

    Sammanfattning : Modelling music with mathematical and statistical methods in general, and with neural networks in particular, has a long history and has been well explored in the last decades. Exactly when the first attempt at strictly systematic music took place is hard to say; some would say in the days of Mozart, others would say even earlier, but it is safe to say that the field of algorithmic composition has a long history. LÄS MER

  5. 5. Preprocessing unbounded data for use in real time visualization : Building a visualization data cube of unbounded data

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

    Författare :Isabelle Hallman; [2019]
    Nyckelord :unbounded data; visualization; data cube;

    Sammanfattning : This thesis evaluates the viability of a data cube as a basis for visualization of unbounded data. A cube designed for use with visualization of static data was adapted to allow for point-by-point insertions. The new cube was evaluated by measuring the time it took to insert different numbers of data points. LÄS MER