Search for dissertations about: "process analytical technology"
Showing result 1 - 5 of 486 swedish dissertations containing the words process analytical technology.
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1. Chemometric and signal processing methods for real time monitoring and modeling : applications in the pulp and paper industry
Abstract : In the production of paper, the quality of the pulp is an important factor both for the productivity and for the final quality. Reliable real-time measurements of pulp quality are therefore needed. READ MORE
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2. Mid-infrared photonic devices for on-chip optical gas sensing
Abstract : Gas detection is crucial in a wide range of fields and applications, such as safety and process control in the industry, atmospheric sciences, and breath diagnostics. Optical gas sensing offers some key advantages, compared to other sensing methods such as electrochemical and semiconductor sensing: high specificity, fast response, and minimal drift. READ MORE
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3. Metal film growth on weakly-interacting substrates : Stochastic simulations and analytical modelling
Abstract : Thin films are nanoscale layers of material, with exotic properties useful in diverse areas, ranging from biomedicine to nanoelectronics and surface protection. Film properties are not only determined by their chemical composition, but also by their microstructure and roughness, features that depend crucially on the growth process due to the inherent out-of equilibrium nature of the film deposition techniques. READ MORE
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4. Removal and Recovery of Metals from Municipal Solid Waste Incineration ashes by a Hydrometallurgical Process
Abstract : Municipal Solid Waste Incineration (MSWI) fly ash contains significant amounts of leachable metals, and is therefore considered to be a hazardous waste. The increased amounts of fly ash generated cause environmental issues, management costs and accumulation of valuable metals in landfills. READ MORE
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5. Visual analytics for maritime anomaly detection
Abstract : The surveillance of large sea areas typically involves the analysis of huge quantities of heterogeneous data. In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. READ MORE