Sökning: "Network coding"

Visar resultat 1 - 5 av 95 uppsatser innehållade orden Network coding.

  1. 1. Study of neural correlates of attention in mice with spectro-spatio-temporal approaches

    Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Cantin Ortiz; [2018]
    Nyckelord :gamma; bursts; neuroscience; attention; mice; LFP; gamma bursts; local field potential; phase randomization; cognition; cognitive process; modulation; spike; neuron; prefrontal cortex; PFC; pre-frontal; tetrode; filtering; Hilbert transform; recordings; oscillation; gamma band;

    Sammanfattning : While signatures of attention can be observed in widespread areas within and outside of cortex, the control of attention is thought to be regulated by higher cognitive brain areas, such as the prefrontal cortex. In their recent study on mice Kim et al. LÄS MER

  2. 2. IOT CONNECTIVITY WITH EDGE COMPUTING

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Maximilian Stiefel; [2018]
    Nyckelord :;

    Sammanfattning : Billions of Internet of Things (IoT) devices will be connected in the next decades. Most devices are for Massive Machine Type Communication (MMTC) applications. This requires the IoT infrastructure to be extremely efficient and scalable (like today’s Internet) to support more and more devices connected to the network over time. LÄS MER

  3. 3. Deep Learning for Error Prediction In MIMO-OFDM system With Maximum Likelihood Detector

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

    Författare :Baoqing She; [2018]
    Nyckelord :MIMO-OFDM; CRC; BLER; Detector; SINR; MCS Selection; Link Adaptation; Deep Learning; Neural Networks;

    Sammanfattning : To increase link throughput in multi-input multi-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) systems, transmission parameters such as code rate andmodulation order are required to be set adaptively. Therefore, block error rate (BLER)becomes a crucial measure which illustrates the quality of the link, thus being used in LinkAdaptation (LA) to determine the transmission parameters. LÄS MER

  4. 4. Developing a spiking neural model of Long Short-Term Memory architectures

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Författare :Isabella Pozzi; [2018]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. LÄS MER

  5. 5. The roles of experts in forest-related participatory processes in Europe : a literature review

    Master-uppsats, SLU/Southern Swedish Forest Research Centre

    Författare :Yu-Tzu Su; [2018]
    Nyckelord :forestry; public participation; expertise;

    Sammanfattning : Demands for participatory processes in forest related decision-making have grown with the shift from government to new modes of governance. However, conflicts between participants occur due to that they hold different interests and expertise. There is uncertainty about the value and function of experts in participatory processes. LÄS MER