Results 81 to 90 of about 23,472 (239)

Characteristic Analysis and Modeling of Train-to-Train Wireless Channel in Station Scenario

International Journal of Antennas and Propagation
In this paper, ray tracing (RT) is used to analyze the characteristics of train-to-train (T2T) wireless channel in 2.1 GHz frequency band, including path loss, multipath clustering, delay spread, Rice factor, angular spread, and channel nonstationarity ...
Yingfei Liu, Lei Xiong, Dan Fei, Rui Liu, Endale Legesse Habte   +4 more
doaj   +1 more source

Selective Gas Detection by a Single MOX-Sensor

Proceedings, 2017
Selective analysis of CO gas, hydrogen and hydrogen sulfide was carried out using single metal oxide sensor. Non-stationary sensor heating mode allowed discovering individual peculiarities of each gas in question. Resistance vs.
Aleksei Shaposhnik, Pavel Moskalev, Alexey Zviagin, Kristina Chegereva, Stanislav Ryabtsev, Alexey Vasiliev, Polina Shaposhnik   +6 more
doaj   +1 more source

Nonstationarity in the Specification of the Environmental Kuznets Curve [PDF]

Numerous studies have addressed the question of the econometric specification of the Environmental Kuznets Curve (EKC). This paper adds preliminary results on nonstationarity and its effect on functional form using a panel data set for the U.S.
Paudel, Krishna P., Zapata, Hector O.
core   +1 more source

Forecasting monthly us consumer price indexes through a disaggregated I(2) analysis [PDF]

, 2002
In this paper we carry a disaggregated study of the monthly US Consumer Price Index (CPI). We consider a breakdown of US CPI in four subindexes, corresponding to four groups of markets: energy, food, rest of commodities and rest of services. This is seen
Espasa, Antoni, Poncela, Pilar, Senra, Eva   +2 more
core   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

A Nonstationary Stochastic Rainfall Generator Conditioned on Global Climate Models for Design Flood Analyses in the Mississippi and Other Large River Basins

Water Resources Research
Existing stochastic rainfall generators (SRGs) are typically limited to relatively small domains due to spatial stationarity assumptions, hindering their usefulness for flood studies in large basins.
Yuan Liu, Daniel B. Wright, David J. Lorenz   +2 more
doaj   +1 more source

Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series

Entropy, 2019
This paper is concerned with the estimation of time-varying networks for high-dimensional nonstationary time series. Two types of dynamic behaviors are considered: structural breaks (i.e., abrupt change points) and smooth changes.
Mengyu Xu, Xiaohui Chen, Wei Biao Wu
doaj   +1 more source

Spurious regression under deterministic and stochastic trends [PDF]

This paper analyses the asymptotic and finite sample implications of a mixed nonstationary behavior among the dependent and explanatory variables in a linear spurious regression model. We study the cases when the nonstationarity in the dependent variable
Antonio E. Noriega, Daniel Ventosa-Santaularia   +1 more
core  

Sequential Design for Computer Experiments with a Flexible Bayesian Additive Model [PDF]

, 2012
In computer experiments, a mathematical model implemented on a computer is used to represent complex physical phenomena. These models, known as computer simulators, enable experimental study of a virtual representation of the complex phenomena ...
Chipman, Hugh, Ranjan, Pritam, Wang, Weiwei   +2 more
core  

Cointegration and Nonstationarity in the Context of Multiresolution Analysis

Journal of Physics: Conference Series, 2011
Cointegration has established itself as a powerful means of projecting out long-term trends from time-series data in the context of econometrics. Recent work by the current authors has further established that cointegration can be applied profitably in the context of structural health monitoring (SHM), where it is desirable to project out the effects ...
Worden, K., Cross, E. J., Kyprianou, Andreas, Worden, K., Cross, E. J., Kyprianou, Andreas   +5 more
openaire   +2 more sources