Moving Window Method: An Effective Approach to Measure Surrounding Greenness
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-020-01180-x
Abstract: A number of studies have shown that urban green space (UGS) can improve the health and well-being of urban residents. However, the commonly used UGS measurement method has its obvious limitations, such as abrupt changes… read more here.
Keywords: approach measure; surrounding greenness; window method; method ... See more keywords
Moving-window two-dimensional correlation spectroscopy and perturbation-correlation moving-window two-dimensional correlation spectroscopy
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2017.07.009
Abstract: Abstract Numerical computations and practical applications of moving-window two-dimensional (MW2D) correlation spectroscopy and perturbation-correlation moving-window two-dimensional (PCMW2D) correlation spectroscopy are reviewed. A series of spectra obtained under a certain external perturbation, e.g., temperature-dependent infrared spectra,… read more here.
Keywords: window two; correlation spectroscopy; two dimensional; correlation ... See more keywords
One-dimensional moving window atomistic framework to model long-time shock wave propagation
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.113290
Abstract: Abstract We develop a long-time moving window framework using Molecular Dynamics (MD) to model shock wave propagation through a one-dimensional chain of atoms. The moving window formulation “follows” a propagating shock wave allowing us to… read more here.
Keywords: model; moving window; wave propagation; one dimensional ... See more keywords
Impacts of spatial scale on the delineation of spatiotemporal urban expansion
Sign Up to like & getrecommendations! Published in 2021 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2021.107896
Abstract: Abstract The delineation of spatiotemporal urban expansion highly depends on the selection of moving window size. Few studies examine the effects of moving window size and the scaling mechanism when analyzing urban expansion patterns. This… read more here.
Keywords: urban expansion; moving window; spatiotemporal urban; delineation spatiotemporal ... See more keywords
Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2021.03.006
Abstract: Abstract Data based approaches have recently gained extensive attention in modern process industries. Accordingly, data based soft sensing technology used for making online predictions of quality variables plays currently an important role in process control… read more here.
Keywords: process; time learning; moving window; task transferred ... See more keywords
Pseudo Time-Slice Construction Using a Variable Moving Window k Nearest Neighbor Rule for Sequential Uneven Phase Division and Batch Process Monitoring
Sign Up to like & getrecommendations! Published in 2017 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.6b03743
Abstract: Multiphase characteristics and uneven-length batch duration have been two critical issues to be addressed for batch process monitoring. To handle these issues, a variable moving window-k nearest neighbor (VMW-kNN) based local modeling, irregular phase division,… read more here.
Keywords: nearest neighbor; phase division; time; variable moving ... See more keywords
Multimode Process Monitoring Approach Based on Moving Window Hidden Markov Model
Sign Up to like & getrecommendations! Published in 2018 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.7b03600
Abstract: Due to the existence of multiple operating modes, traditional fault detection techniques are ill-suited for complex industrial processes. Although there are more and more literature studies concerning this problem, only a few of them are… read more here.
Keywords: hidden markov; markov model; process; process monitoring ... See more keywords
LiDAR Filtering of Urban Areas With Region Growing Based on Moving-Window Weighted Iterative Least-Squares Fitting
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2682854
Abstract: Terrain surfaces can be relatively accurately obtained from light detection and ranging data using least-squares interpolation. However, the accuracy of the extraction results is low in regions with relatively large terrain undulations, and large buildings… read more here.
Keywords: seed; window weighted; region growing; least squares ... See more keywords
Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2017.2677622
Abstract: In this paper, the moving window (MW) approach is introduced to update the soft sensor model with the latest process information, which provides powerful efficiency of tracking the shifting feature of the process. The weighted… read more here.
Keywords: soft sensor; moving window; model; sensor ... See more keywords
Online Parameter Identification for Lithium-Ion Batteries: An Adaptive Moving Window Size Design Methodology for Least Square Fitting
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3229376
Abstract: Online state-of-charge estimations are critical to lithium-ion batteries in electric vehicles for safe and reliable operations. To ensure accurate online state estimations, an online battery parameter identification algorithm, such as the least square fitting approach,… read more here.
Keywords: parameter identification; window size; moving window; methodology ... See more keywords
Analytical and Numerical Characterization of Autocorrelation and Perturbation-Correlation Moving-Window Methods
Sign Up to like & getrecommendations! Published in 2017 at "Applied Spectroscopy"
DOI: 10.1177/0003702816681169
Abstract: Moving-window (MW) approaches to two-dimensional correlation spectroscopy (2D-COS) make it possible to characterize spectral changes occurring in a narrow range of perturbation variable (e.g., time, temperature, and concentration). Despite the wide range of application, the… read more here.
Keywords: intensity; correlation; pcmw; spectroscopy ... See more keywords