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Alvaro Arroyo Cebeira and Mariano Asensio Vicente
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimat...
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Richard Bustos, S. Andrew Gadsden, Mohammad Al-Shabi and Shohel Mahmud
To ensure reliable operation of electrical systems, batteries require robust battery monitoring systems (BMSs). A BMS?s main task is to accurately estimate a battery?s available power, referred to as the state of charge (SOC). Unfortunately, the SOC cann...
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Ning Wang, Buhao Zhang, Jian Gu, Huahua Kong, Song Hu and Shengchao Lu
The road traffic state is usually analyzed from a temporal and macroscopic perspective; however, traffic flow parameters, such as density and spacing, can explain the evolution of traffic states from the microscopic perspective and the spatial distributi...
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Seung Gook Cha, Donghyun Kim and Young Joong Yoon
In this paper, a compact direction-finding system based on a deep neural network (DNN) with a single-patch multi-beam antenna is proposed. To achieve multiple beams, the patch is divided into four sectors by metal vias, and the pattern is tilted in the t...
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Alexander Robitzsch
Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is of int...
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