Search for dissertations about: "computer based test"

Showing result 1 - 5 of 413 swedish dissertations containing the words computer based test.

  2. 1. Lock-free Concurrent Search

    Author : Bapi Chatterjee; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wait-free; Help-aware; Non-blocking; Concurrency; Linearizability; Lock-based; Lock-free-kD-tree; Amortized Complexity; Data Structure; Binary Search Tree; Blocking; Search; Concurrent; kD-tree; Linked-list; Lock-free; Range Search; Language-portable; Help-optimal; Nearest Neighbour Search; Linearizable; Synchronization;

    Abstract : The contemporary computers typically consist of multiple computing cores with high compute power. Such computers make excellent concurrent asynchronous shared memory system. READ MORE

  4. 2. On Test Design

    Author : Sigrid Eldh; Hans Hansson; Sasikumar Punnekkat; Eleine Weyuker; Mälardalens högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Software Test; Test Design Techniques; Test Design; Test Automation; Test Efficiency; Computer science; Datavetenskap; Computer Science; datavetenskap;

    Abstract : Testing is the dominating method for quality assurance of industrial software. Despite its importance and the vast amount of resources invested, there are surprisingly limited efforts spent on testing research, and the few industrially applicable results that emerge are rarely adopted by industry. READ MORE

  5. 3. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning

    Author : Muhaddisa Barat Ali; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; glioma subtype classification; convolutional autoencoder; convolutional NN; multi-stream U-Net.; CycleGAN; 1p 19q codeletion; federated learning; IDH mutation; generative adversarial network; Deep learning;

    Abstract : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. READ MORE

  6. 4. System-on-Chip Test Scheduling and Test Infrastructure Design

    Author : Anders Larsson; Petru Eles; Zebo Peng; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; system-on-chip; core-based systems; test infrastructure; test scheduling; broadcasting; test set sharing; Computer science; Datavetenskap;

    Abstract : There are several challenges that have to be considered in order to reduce the cost of System-on-Chip (SoC) testing, such as test application time, chip area overhead due to hardware introduced to enhance the testing, and the price of the test equipment. In this thesis the test application time and the test infrastructure hardware overhead of multiple-core SoCs are considered and two different problems are addressed. READ MORE

  7. 5. Evolutionary optimisation of a morphological image processor for embedded systems

    Author : Andreas Magnusson; Högskolan i Borås; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; embedded system; machine vision; morphological image processing; genetic algorithm; Energi och material;

    Abstract : The work presented in this thesis concerns the design, development and implementation of two digital components to be used, primarily, in autonomously operating embedded systems, such as mobile robots. The first component is an image coprocessor, for high-speed morphological image processing, and the second is a hardware-based genetic algorithm coprocessor, which provides evolutionary computation functionality for embedded applications. READ MORE