Sökning: "Computer Systems Sciences"

Visar resultat 6 - 10 av 2843 avhandlingar innehållade orden Computer Systems Sciences.

  1. 6. Aspect-Oriented Business Process Management

    Författare :Amin Jalali; Paul Johannesson; Flávia Maria Santoro; Stockholms universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Separation of concerns has long been considered an effective and efficient strategy to deal with complexity in information systems.One sort of concern, like security and privacy, crosses over other concerns in a system. Such concerns are called cross-cutting concerns. LÄS MER

  2. 7. IoT Networking Resource Allocation and Cooperation

    Författare :Ioannis Avgouleas; Vangelis Angelakis; Nikolaos Pappas; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : The Internet of Things (IoT) promises that "anything that can be connected, will be connected". It comprises of Information and Communication Technologies that interconnect billions of physical and visual things with some "basic" intelligence. LÄS MER

  3. 8. Multi-LSTM Acceleration and CNN Fault Tolerance

    Författare :Stefano Ribes; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Compression; SVD; LSTMs; CNNs; Fault Tolerance; Machine Learning; FPGA; Roofline Model; HLS; Caffe;

    Sammanfattning : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. LÄS MER

  4. 9. High Performance Hybrid Memory Systems with 3D-stacked DRAM

    Författare :Evangelos Vasilakis; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hybrid memory systems; DRAM caches; Data migration; 3D-stacked DRAM;

    Sammanfattning : The bandwidth of traditional DRAM is pin limited and so does not scale well with the increasing demand of data intensive workloads limiting performance. 3D-stacked DRAM can alleviate this problem providing substantially higher bandwidth to a processor chip. LÄS MER

  5. 10. Flexible Composition of Robot Logic with Computer Vision Services

    Författare :Oleksandr Semeniuta; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robotics; data flow; service-oriented architecture; distributed systems; machine learning; discrete-event systems; Machine vision; publish-subscribe;

    Sammanfattning : Vision-based robotics is an ever-growing field within industrial automation. Demands for greater flexibility and higher quality motivate manufacturing companies to adopt these technologies for such tasks as material handling, assembly, and inspection. LÄS MER