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Taehoon Lee, Byungjin Lee and Sangkyung Sung
This study proposes an enhanced integration algorithm that combines the magnetic field-based positioning system (MPS?Magnetic Pose Estimation System) with an inertial system with the advantage of an invariant filter structure. Specifically, to mitigate t...
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Tarafder Elmi Tabassum, Zhengjia Xu, Ivan Petrunin and Zeeshan A. Rana
To enhance system reliability and mitigate the vulnerabilities of the Global Navigation Satellite Systems (GNSS), it is common to fuse the Inertial Measurement Unit (IMU) and visual sensors with the GNSS receiver in the navigation system design, effectiv...
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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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Dong Tang, Huixiang Jian, Min Song and Zhongming Jiang
During the operation of underground water-sealed oil storage caverns, a large amount of oil vapor is generated due to volatilization. Oil vapor can easily leak into the surrounding rock, and fractures in the surrounding rock are usually the dominant chan...
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Jaroslaw Chwastowski and Pawel Staron
The sorption process of chromium(VI) and cadmium(II) onto avocado peel (AP) and its pyrolyzed version (PAP) was carried out. The pyrolysis process was investigated in a tube furnace under inert gas conditions (argon) using a temperature equal to 750 °C. ...
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Artemiy Belousov, Ivan Kisel and Robin Lakos
Fast and efficient algorithms optimized for high performance computers are crucial for the real-time analysis of data in heavy-ion physics experiments. Furthermore, the application of neural networks and other machine learning techniques has become more ...
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Haojing Shen, Haksu Lee and Dong-Jun Seo
Kalman filter (KF) and its variants and extensions are wildly used for hydrologic prediction in environmental science and engineering. In many data assimilation applications of Kalman filter (KF) and its variants and extensions, accurate estimation of ex...
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Haksu Lee, Haojing Shen and Dong-Jun Seo
This paper presents a comparative geometric analysis of the conditional bias (CB)-informed Kalman filter (KF) with the Kalman filter (KF) in the Euclidean space. The CB-informed KFs considered include the CB-penalized KF (CBPKF) and its ensemble extensio...
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Junkang Wu, Zuqiong Zhang, Shenglan Zhang, Zhenwu Kuang and Lieping Zhang
To reduce the influence of non-line-of-sight (NLOS) errors in the ultra-wideband (UWB) positioning process, a UWB positioning algorithm based on fuzzy inference and adaptive anti-NLOS Kalman filtering (KF) was proposed in this paper. First of all, the NL...
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Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo and Zhiming Ding
In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis. At present, there are many methods to fill in th...
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