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Applications of predictive maintenance techniques in industrial systems [PDF]
Serbian Journal of Electrical Engineering, 2011 Prognostic methods represent a new methodology for system maintenance which offers significant time and cost savings. The paper offers a short overview of the available prognosis techniques and proposes the implementation of one model-based and ...
Marjanović Aleksandra +3 more
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A model-based method for building reconstruction [PDF]
First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003. HLK 2003., 2003 Model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are segmented into a coarse polyhedral model with a robust regression algorithm, then the geometry of this model is refined with predefined shape templates in order to automatically recover a ...
Konrad Schindler, Joachim Bauer
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Spatio-Temporal Analysis of Regional Unemployment Rates
Revstat Statistical Journal, 2018 This study aims to analyze the methodologies that can be used to estimate the total number of unemployed, as well as the unemployment rates for 28 regions of Portugal, designated as NUTS III regions, using model based approaches as compared to the ...
Soraia Pereira +2 more
doaj +1 more source
Design Method of Aviation Architecture Based on Model Base [PDF]
, 2021 Drawing on dodaf ideas and summarizing aviation examples, the paper proposes an aviation architecture design method based on model base.The input content and form of aviation architecture design are defined, the organization form and metadata mapping relationship of meta model in the architecture model base are determined, the template data ...
Zhijuan Zhan +3 more
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A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control [PDF]
, 2011 Reinforcement Learning (RL) is a method for learning decision-making tasks that could enable robots to learn and adapt to their situation on-line. For an RL algorithm to be practical for robotic control tasks, it must learn in very few actions, while ...
Hester, Todd +2 more
core +3 more sources
Characterization of event databases for locating faults in radial power systems
Revista Facultad de Ingeniería Universidad de Antioquia, 2013 In this paper, an approach for characterizing event databases composed of voltage and current signals measured at a distribution substation during faults is presented.
Sandra Milena Pérez +2 more
doaj +1 more source
A Review of Root Zone Soil Moisture Estimation Methods Based on Remote Sensing
Remote Sensing, 2023 Root zone soil moisture (RZSM) controls vegetation transpiration and hydraulic distribution processes and plays a key role in energy and water exchange between land surface and atmosphere; hence, accurate estimation of RZSM is crucial for agricultural ...
Ming Li, Hongquan Sun, Ruxin Zhao
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Comparing policy gradient and value function based reinforcement learning methods in simulated electrical power trade [PDF]
, 2012 In electrical power engineering, reinforcement learning algorithms can be used to model the strategies of electricity market participants. However, traditional value function based reinforcement learning algorithms suffer from convergence issues when ...
Burt, Graeme +3 more
core +1 more source
Model Reduction by Moment Matching for Linear Switched Systems [PDF]
, 2014 Two moment-matching methods for model reduction of linear switched systems (LSSs) are presented. The methods are similar to the Krylov subspace methods used for moment matching for linear systems.
Bastug, Mert +3 more
core +3 more sources
A New CO2-EOR Methods Screening Model Based on Interdependency Parameters
Applied Sciences, 2022 The successful implementation of carbon dioxide-enhanced oil recovery (CO2-EOR) is crucial in increasing oil production and reducing carbon emissions. For this reason, screening criteria are needed for the initial characterization of a suitable CO2-EOR ...
Diyah Rosiani +4 more
doaj +1 more source