Sökning: "computer technology"

Visar resultat 21 - 25 av 4087 avhandlingar innehållade orden computer technology.

1. 21. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations

   Författare :Roc Ramon Currius; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neural Networks; Real-time rendering; Lightfields; Realistic Rendering; Global Illumination; Hair Rendering; Machine Learning;

   Sammanfattning : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. LÄS MER

3. 22. Energy and Route Optimization of Moving Devices

   Författare :Sarmad Riazi; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Energy optimization; industrial robots; vehicle routing problems; automated guided vehicles.; scheduling; routing;

   Sammanfattning : This thesis highlights our efforts in energy and route optimization of moving devices. We have focused on three categories of such devices; industrial robots in a multi-robot environment, generic vehicles in a vehicle routing problem (VRP) context, automated guided vehicles (AGVs) in a large-scale flexible manufacturing system (FMS). LÄS MER

4. 23. 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

5. 24. Shared Resources in Distributed Systems: Analytical Tools for Evaluation and Self-stabilizing Provisioning

   Författare :Iosif Salem; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; self-stabilization; smart grid; online algorithms; shared object systems; resource sharing; software-defined networks; distributed algorithms;

   Sammanfattning : Distributed computing is an established computing paradigm of modern computing systems.The nodes of a distributed system interact either by sharing resources or via a communication network. In both cases, provisioning of shared resources is a challenge, for example when resource demand and supply varies or when the system is prone to failures. LÄS MER

7. 25. Outsourcing Computations to a Cloud That You Don't Trust

   Författare :Georgia Tsaloli; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; differential privacy; function secret sharing; homomorphic secret sharing; verifiable computation; privacy-preservation; public verifiability;

   Sammanfattning : In many application scenarios, data need to be collected, stored and processed. Often sensitive data are collected from IoT devices, which are constrained regarding their resources, and, thus, remote, untrusted cloud servers are required to perform the computations. LÄS MER