Search for dissertations about: "Kåre Synnes"
Showing result 1 - 5 of 6 swedish dissertations containing the words Kåre Synnes.
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1. Net-based Learning and the mStar Environment
Abstract : This licentiate thesis focuses on how to design a robust and flexible environment for net-based learning. The environment is required to be scalable for large groups, robust over lossy networks, flexible to meet different learning scenarios, and support interactivity. READ MORE
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2. On distributed real-time systems : the mStar environment, net-based learning and context-aware applications
Abstract : This doctoral thesis presents two frameworks for distributed real-time systems, the mStar environment for Computer Supported Collaborative Work (CSCW) and the Alipes architecture for context-aware applications, from the perspective of distributed teamwork and net-based learning. The mStar environment was designed to be symmetric and fully distributed, which allows all users equal access and thus full interactivity, as well as scalable through the use of IP multicast and a server-less design. READ MORE
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3. Digitalized contract definition and negotiations for the agreement of rights and obligations in electronic auctions
Abstract : Negotiations of different kinds are used to trade goods and services. Within these, the creation of a signed agreement or contract that is binding for the agreeing parties helps also the gathering of evidence that can be used in case of disputes and for adjudication. READ MORE
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4. Workflows in Microservice Based System of Systems
Abstract : Social welfare has grown along with the developments of innovative technologies to ease manual work and provide affordable goods for everyone. Advances in science require time to reach practical use. However, when their impact is such as to reshape society, their industrial adoption is accelerated and they become part of modern history. READ MORE
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5. Unobtrusive Activity Recognition in Resource-Constrained Environments
Abstract : This thesis discusses activity recognition from a perspective of unobtrusiveness, where devices are worn or placed in the environment without being stigmatising or in the way. The research focuses on performing unobtrusive activity recognition when computational and sensing resources are scarce. READ MORE