Results 61 to 70 of about 19,071 (209)
ABSTRACT To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE‐UKF) method is proposed in this paper.
Liangzheng Wu +3 more
wiley +1 more source
Foucault and literature (Years 1962 - 1970) [PDF]
The article Foucault and literature focuses on relationship between philosophy and literature, referring to a special approach to this relation which can be found in the early works of Michel Foucault (from 1962 to 1970).
Marek Debnár
doaj
Resistance to systemic drug therapy is a major reason for the failure of anticancer therapies. Here, we tested doxorubicin-loaded human serum albumin (HSA) nanoparticles in the neuroblastoma cell line UKF-NB-3 and its ABCB1-expressing sublines adapted to
Hannah Onafuye +6 more
doaj +1 more source
This paper proposes a time‐varying inertia estimation framework based on sensitivity‐guided clustering and aggregation. It can achieve high‐accuracy inertia estimation with limited measurements, reducing the relative error by nearly 10% compared with existing methods, and exhibit strong robustness to noise and disturbances.
Yulong Li +6 more
wiley +1 more source
Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian +2 more
core
We have studied charge transport in ferromagnetic Rashba metal (FRM), where both Rashba type spin-orbit coupling (RSOC) and exchange coupling coexist. It has nontrivial metallic states, i.e., normal Rashba metal (NRM), anomalous Rashba metal (ARM), and ...
Oshima, Daisuke +2 more
core +1 more source
Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture
To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui +3 more
wiley +1 more source
To address the limitations of existing wireless and inertial navigation systems, this paper proposes a high‐precision integrated positioning scheme based on particle filtering. The method introduces a high‐weight particle neighbourhood attraction mechanism to solve the common issue of particle degeneracy.
Yanbiao Gao, Zhongliang Deng
wiley +1 more source
Jdn E. Bor - Michal PovaZan: A Literary lnterview [PDF]
The interview is a part of the yet unpublished book of interviews carried out by J. E. Bor in the year 1944 with several significant representatives of the literary life in contemporary Slovakia (J. Smrek, M. Chorváth, M. Bakoš, J. Silan). The subject of
Dušan Teplan
doaj
An efficiency algorithm on Gaussian mixture UKF for BDS/INS navigation system
To further improve the performance of UKF (Unscented Kalman Filter) algorithm used in BDS/SINS (BeiDou Navigation Satellite System/Strap down Inertial Navigation System), an improved GM-UKF (Gaussian Mixture Unscented Kalman Filter) considering non ...
Qing Dai +4 more
doaj +1 more source

