Essays about: "industrial calibration"
Showing result 1 - 5 of 38 essays containing the words industrial calibration.
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1. Implementing Kalman Filtering Algorithms for Estimating Clamp Force on a Test Rig : Testing the Power and Limitations of Unscented Kalman Filter-based Estimations
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : his study explores clamp force estimation using Unscented Kalman Filtering (UKF) in torque-controlled tightening scenarios with various velocity profiles. Previous research has explored the impact of velocity levels on target torque and clamping force, but only using hand-held tools. READ MORE
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2. Geological characterization of rock samples by LIBS and ME-XRT analytical techniques
University essay from Luleå tekniska universitet/Geovetenskap och miljöteknikAbstract : One of the major challenges in earth sciences and mineral exploration has been to determine with high accuracy and at a fast rate the elemental composition as well as the general chemistry of a rock sample. Many analytical techniques e.g. READ MORE
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3. Modelling of Fluid Flow and Contaminant Transport in Fractured Rock : Case Study
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : Drinking water contamination is a big concern in Sweden and is commonly traced back to being waste from former manufacturing industrial sites. Pollutants in the topsoil can be remediated by several techniques, such as decontamination or excavation but the toxins already enclosed in the bedrock cannot be treated the same and is harder to track possible contaminant pathways. READ MORE
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4. Thermochemistry modelling applied to activated sludge process: Feasibility assessment
University essay from KTH/ProteinvetenskapAbstract : Aktivt slam är en biologisk process som används i stor utsträckning för rening av avloppsvatten, där bakterier som odlas under luftiga förhållanden avlägsnar organiska ämnen och näringsämnen från förorenat vatten. För industriell verksamhet modelleras denna process för att representera och förutsäga biologiska fenomen. READ MORE
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5. Combined Regularisation Techniques for Artificial Neural Networks
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. READ MORE