Essays about: "computing power"
Showing result 1 - 5 of 322 essays containing the words computing power.
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1. Real-Time Certified MPC for a Nano Quadcopter
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. READ MORE
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2. Evaluation of Application and Platform ContinuousDeployment Strategies and Tools over Edge Clusters
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : The purpose of this thesis was the investigation of using Cloud Native tools in an On-prem Edge Deployment. Edge Computing allows software with explicit demands on latency, data management and reliability to utilize Cloud Computing by moving the compute power to the location of need while leaving the management in the Cloud. READ MORE
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3. RVSingle: A general purpose power efficient RISC-V for FPGAs
University essay from Linköpings universitet/Elektroniska Kretsar och SystemAbstract : With the increasing need for low-cost, power-efficient computing units, RISC-Vas an open-standard Instruction Set Architecture (ISA) is becoming more and more popular in the industry. There are multiple open-source RISC-V soft processors like cva6, VEGA, NOEL-V and more. READ MORE
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4. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. READ MORE
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5. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE
