Search for dissertations about: "behaviour model mobile"
Showing result 1 - 5 of 29 swedish dissertations containing the words behaviour model mobile.
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1. Indoor Navigation for Mobile Robots : Control and Representations
Abstract : This thesis deals with various aspects of indoor navigationfor mobile robots. For a system that moves around in ahousehold or office environment,two major problems must betackled. First, an appropriate control scheme has to bedesigned in order to navigate the platform. Second, the form ofrepresentations of the environment must be chosen. READ MORE
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2. Mode choice modelling of long-distance passenger transport based on mobile phone network data
Abstract : Reliable forecasting models are needed to achieve the climate related goals in the face of increasing transport demand. Such models can predict the long-term behavioural response to policy interventions, including infrastructure investments, and thus provide valuable pre-dictions for decision makers. READ MORE
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3. Spatial variations of the urban climate and its influence on thermal comfort and behaviour
Abstract : The increased number of people living in urban areas emphasises the need for an improved understanding of how the urban climate affects human activity and behaviour. The spatial and temporal variation of climate within cities is an important factor in people’s health and well-being. READ MORE
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4. Gaining influence in standard-setting processes : a discussion of underlying mechanisms in 3G mobile telephony technology development
Abstract : The environment in which companies operate is such that standards become increasingly important due to the built-in rigidities resulting from previous technology investments and network externalities. The research question is: How can a market-leading company gain influence on the formation of standards perceived as vital for the company-s continued business? The purpose of the dissertation is to explore, describe, and characterise how such influence may be gained; it thus aims to reveal some of the mechanisms underlying a technology standard-setting process. READ MORE
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5. Human Behaviour Recognition of Elderly in Single-Resident IoT Enabled Smart Homes: An Applied Machine Learning Approach
Abstract : In Human Activity Recognition (HAR) systems, activities of daily living/human behaviour are recognized using sensor data by applying data mining techniques and machine learning algorithms to the collected data. This allows for customised and automated services to support humans’ daily living. READ MORE