Sökning: "Memory"

Visar resultat 1 - 5 av 2213 uppsatser innehållade ordet Memory.

  1. 1. Erlang as an alternative to a non-functional language for communication in a faulttolerant IoT sensor network

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jimmy Holdö; [2020-02-17]
    Nyckelord :Internet of Things; Wireless Sensor Network; Erlang; IEEE 802.15.4; ZigBee; Network topology;

    Sammanfattning : This thesis compares a C++ prototype and an Erlang prototype for an Internet ofThings application. Internet of Things applications are difficult to program becausethey consist of a distributed environment of heterogeneous devices, where each devicecan have limited resources and connectivity technologies. LÄS MER

  2. 2. Implementation of a Deep Learning Inference Accelerator on the FPGA.

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

    Författare :Shenbagaraman Ramakrishnan; [2020]
    Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER

  3. 3. Real time Rust on multi-core microcontrollers

    Master-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :Jorge Aparicio Rivera; [2020]
    Nyckelord :Rust; real-time; memory safety; embedded; static analysis; stack resource policy; stack analysis; arm; cortex-m;

    Sammanfattning : Today the majority of embedded software is written in C or C++ using the thread paradigm. C and C++ are memory unsafe programming languages that often appear in CVE (Common Vulnerability and Exploits) reports. LÄS MER

  4. 4. Sales Forecasting of Truck Components using Neural Networks

    Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Yeshwanth Reddy Gaddam; [2020]
    Nyckelord :Sales forecasting; Artificial Neural Networks; Long Short Term Memory; Multilayer Perceptron; Recurrent Neural Network.;

    Sammanfattning : Background: Sales Forecasting plays a substantial role in identifying the sales trends of products for the future era in any organization. These forecasts are also important for determining the profitable retail operations to meet customer demand, maintain storage levels and to identify probable losses. LÄS MER

  5. 5. Real-time Depth of Field with Realistic Bokeh : with a Focus on Computer Games

    Master-uppsats, Linköpings universitet/Informationskodning

    Författare :Anton Christoffersson; [2020]
    Nyckelord :Depth of Field; Bokeh; Real-time Rendering; Computer Graphics; Computer Games; Master Thesis; Computer Science; Circularly Symmetric Convolution; Circle of Confusion; Lens Blur;

    Sammanfattning : Depth of field is a naturally occurring effect in lenses describing the distance between theclosest and furthest object that appears in focus. The effect is commonly used in film andphotography to direct a viewers focus, give a scene more complexity, or to improve aes-thetics. LÄS MER