Search for dissertations about: "Xiaoyun"
Showing result 1 - 5 of 8 swedish dissertations containing the word Xiaoyun.
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1. A Particle Image Velocimetry Study of Bubbly Gas-Liquid Flow
Abstract : The aim of this work is to build a framework that can be used for characterizing the bubbly gas liquid turbulent flow in the stirred bioreactor tank. To this end we have developed and modified techniques with which to measure the velocity of both dispersed gas and carrier liquid phases by the optical measurement technique, a 2-CCD camera Particle Image Velocimetry (PIV) system; and to characterize the turbulence by the wavelets tool, Proper Orthogonal Decomposition (POD). READ MORE
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2. Government vs Market in Sustainable Residential Development? : Microdata analysis of car travel, CO2 emission and residence location
Abstract : Increasing car usage and travel demands between residential locations and destinations in order to fulfill the various needs of residents is a primary cause of CO2 emissions. To win the battle against climate change, a better understanding of the question relating to which urban residential form may most effectively mitigate the CO2 emissions is the key pathway. READ MORE
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3. Experimental study of a Volatiles Distributor for Improving the Cross-sectional Gas Distribution in Fluidized Beds
Abstract : Chemical looping combustion (CLC) is a promising carbon capture technology due to its inherent CO2 separation. Significant progress has been made in CLC of solid fuels in recent years. READ MORE
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4. Road network and GPS tracking with data processing and quality assessment
Abstract : GPS technology has been embedded into portable, low-cost electronic devices nowadays to track the movements of mobile objects. This implication has greatly impacted the transportation field by creating a novel and rich source of traffic data on the road network. READ MORE
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5. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data
Abstract : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. READ MORE