Search for dissertations about: "Institutionen för teknik och naturvetenskap"
Showing result 6 - 10 of 708 swedish dissertations containing the words Institutionen för teknik och naturvetenskap.
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6. Geographies of eHealth: Studies of Healthcare at a Distance
Abstract : This thesis examines the proliferation of healthcare services using information and communication technology to overcome spatial and temporal obstacles. These services are given such names as telemedicine and telecare, which are sometimes grouped together as telehealthcare under the umbrella term eHealth. READ MORE
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7. Perceiving agents : Pluralism, interaction, and existence
Abstract : Perception is a vast subject to study. One way to approach and study it might therefore be to break down the concept into smaller pieces. Specific modes of sensation, mechanisms, phenomena, or contexts might be selected as the proxy or starting point for addressing perception as a whole. READ MORE
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8. Towards Designing Better Speech Agent Interaction : Using Eye Gaze for Interaction
Abstract : This research is about addressing the need to better understand interaction with conversational user interfaces (CUIs) and how human-technology `conversations' can be improved by drawing on the lessons learned from human-human interaction. It focuses on incorporating abstractions of complex human behaviour, specifically gaze, to enhance interactions with speech agents in conversations. READ MORE
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9. Simulation-based multi-objective optimization for reconfigurable manufacturing systems : Reconfigurability, manufacturing, simulation, optimization, RMS, multi-objective, knowledge discovery
Abstract : In today’s global and aggressive market system, for manufacturing companies to remain competitive, they must manufacture high-quality products that can be produced at a low cost; they also must respond efficiently to customers’ predictable and unpredictable needs and demand variations. Increasingly shortened product lifecycles, as well as product customization degrees, lead to swift changes in the market that need to be supported by capable and flexible resources able to produce faster and deliver to the market in shorter periods while maintaining a high degree of cost-efficiency. READ MORE
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10. Data-driven quality management using explainable machine learning and adaptive control limits
Abstract : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. READ MORE