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Data-driven autoregressive model identification for structural health monitoring in anisotropic composite plates
(2019-01-01)
A simple data-driven AutoRegressive (AR) model may be used to assess a model to describe and to predict the time-series outputs of the PZT sensors receiving Lamb waves for different operating conditions in composite ...
Study of biosorption of rare earth metals (La, Nd, Eu, Gd) by Sargassum sp. biomass in batch systems: Physicochemical evaluation of kinetics and adsorption models
(2009-12-28)
This work evaluated kinetic and adsorption physicochemical models for the biosorption process of lanthanum, neodymium, europium, and gadolinium by Sargassum sp. in batch systems. The results showed: (a) the pseudo-second ...
A Current Sensitivity Model for Power System Stability Studies
(Ieee, 2018-01-01)
Mathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective ...
A current sensitivity model for power system stability studies
(2019-01-25)
Mathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective ...
Modifying the stochastic model to mitigate GPS systematic errors in relative positioning
(2007-12-01)
The GPS observables are subject to several errors. Among them, the systematic ones have great impact, because they degrade the accuracy of the accomplished positioning. These errors are those related, mainly, to GPS ...
STREET REGION DETECTION FROM NORMALIZED DIGITAL SURFACE MODEL AND LASER DATA INTENSITY IMAGE
(Copernicus Gesellschaft Mbh, 2011-01-01)
The urban road network extraction process can be simplified by firstly detecting regions corresponding to streets, allowing a substantial reduction of the search area. As a result, the extraction process is benefited in ...
Street region detection from normalized Digital Surface Model and laser data intensity image
(2011-04-26)
The urban road network extraction process can be simplified by firstly detecting regions corresponding to streets, allowing a substantial reduction of the search area. As a result, the extraction process is benefited in ...
Study of the Use of Data Mining in Modeling Non-standard Processes in a Higher Education Institution
(2020-01-01)
Business process management (BPM) is an administration discipline to design, improve and manage processes, and consists of several phases. One of them is the modeling of the current process (as is), during which the process ...
Personalized collaborative filtering: a neighborhood model based on contextual constraints
(Association for Computing Machinery - ACMDongguk UniversityGyeongju, 2014-03)
In this paper, we propose a recommender system approach which considers contextual information from users and items in order to improve the accuracy of a neighborhood-based collaborative filtering algorithm. One advantage ...
Using model updating technique to train neural network for fault detection
(1997-01-01)
Vibration monitoring and fault detection of components in manufacturing plants involve a detailed analysis of a collection of vibration data in order to establish a correlation among changes of the measured data and the ...