Search for dissertations about: "computer use"

Showing result 1 - 5 of 2669 swedish dissertations containing the words computer use.

  2. 1. Beyond-application datasets and automated fair benchmarking

    Author : Krister Blanch; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; algorithm evaluation; autonomous systems; containerisation; vehicle odometry; Beyond-application datasets; automatic fair benchmarking;

    Abstract : Beyond-application perception datasets are generalised datasets that emphasise the fundamental components of good machine perception data. When analysing the history of perception datatsets, notable trends suggest that design of the dataset typically aligns with an application goal. READ MORE

  4. 2. Good to use! : Use quality of multi-user applications in the home

    Author : Mattias Arvola; Kjell Ohlsson; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Software; computer interaction; laidback interaction; face management; ante-use; quality values; quality objectives; Computer science; Datavetenskap;

    Abstract : Traditional models of usability are not sufficient for software in the home, since they are built with office software in mind. Previous research suggest that social issues among other things, separate software in homes from software in offices. READ MORE

  5. 3. Reality-based brain-computer interaction

    Author : Daniel Sjölie; Lars-Erik Janlert; Johan Eriksson; John Waterworth; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; reality-based brain-computer interaction; virtual reality; reality-based interaction; brain-computer interface; activity theory; the free-energy principle; grounded cognition; Cognitive science; Kognitionsvetenskap; Computer science; Datalogi; människa-datorinteraktion; människa-datorinteraktion;

    Abstract : Recent developments within human-computer interaction (HCI) and cognitive neuroscience have come together to motivate and enable a framework for HCI with a solid basis in brain function and human reality. Human cognition is increasingly considered to be critically related to the development of human capabilities in the everyday environment (reality). READ MORE

  6. 4. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling

    Author : Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data Streaming; Scheduling; Provenance; Stream Processing;

    Abstract : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). READ MORE

  7. 5. Deterministic, Explainable and Resource-Efficient Stream Processing for Cyber-Physical Systems

    Author : Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Provenance; Stream Processing; Scheduling; Determinism;

    Abstract : We are undeniably living in the era of big data , where people and machines generate information at an unprecedented rate. While processing such data can provide immense value, it can prove especially challenging because of the data's Volume, Variety and Velocity . READ MORE