Results 41 to 50 of about 18,774 (193)

The Role of Leaf Wettability and Morphology on Leaf Surface Water Storage: A Cross‐Biome Synthesis

Ecohydrology, Volume 19, Issue 1, January‐February 2026.
ABSTRACT The presence of water on leaves impacts plant function and ecosystem fluxes by supplementing moisture, reducing evapotranspirational demand and encouraging pathogen spread. Maximum phytoelement water storage capacity (MWSC)—the maximum amount of water that can be held on the surface of the leaf‐ is an important but poorly constrained parameter
Ashley J. Cao, Zeyin Li, Paul O. Seibert, Cynthia Gerlein‐Safdi   +3 more
wiley   +1 more source

A joint real-time SOC estimation method for energy storage batteries

Zhejiang dianli
Accurately estimating the state of charge （SOC） of energy storage batteries is of paramount importance for achieving balanced charging and discharging， and mitigating capacity degradation caused by overcharging and overdischarging. In view of the complex
LI Xianfeng, HU Chengang, BU Liming, CHEN Pan, MIAO Wenjie, HUANG Wenzhe   +5 more
doaj   +1 more source

Development of Magnetic Nanoparticle‐Added Cryogel Membrane Materials for the Removal of Pharmaceutical Wastes

Natural Sciences, Volume 6, Issue 1, January 2026.
Magnetic mg‐Fe3O4‐APTES nanoparticle‐doped p(HEMA)‐phenylboronic acid cryogel membranes are developed for the efficient removal of dopamine from pharmaceutical wastewater. Utilizing boronate affinity interactions, the system demonstrates a high adsorption capacity of 1969.1 mg/g and eliminates 81.3% of the target molecule within 15 minutes.
Cansu İlke Kuru‐Sumer, Fulden Ulucan‐Karnak, Sinan Akgöl   +2 more
wiley   +1 more source

Poetry as the Winged Horse (On the Interpretation of Time in Smrek’s Poetry [PDF]

Slovenska Literatura, 1999
This contribution is based on relations and similarities between Smrek’s lyrical poetry and Bergsonian vitalism and dynamism. On the basis of the analysis of the motif of horse in Smrek’s poetry the author comes to conclusion that Smrek, using the same ...
František Koli
doaj  

Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
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, Taofei Ku, Kaiman Li, Peifeng Chen   +3 more
wiley   +1 more source

Tunneling conductance in two-dimensional junctions between a normal metal and a ferromagnetic Rashba metal

, 2018
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, Taguchi, Katsuhisa, Tanaka, Yukio   +2 more
core   +1 more source

UKF-Based Reconfigurable Attitude Parameters Estimation and Magnetometer Calibration

IEEE Transactions on Aerospace and Electronic Systems, 2012
A reconfigurable unscented Kalman filter (UKF)-based estimation algorithm for magnetometer biases and scale factors is proposed as a part of the attitude estimation scheme of a pico satellite. Unlike existing algorithms, in this paper, scale factors are not treated, together with other parameters, as part of the state vector; they are estimated ...
Soken, Halil Ersin, Hajiyev, Chingiz
openaire   +2 more sources

Time‐Varying Inertia Estimation for Grid‐Connected DFIG‐Based Wind Farms Using Sensitivity‐Guided Clustering and Aggregation

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
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, Wei Yao, Yongxin Xiong, Hongyu Zhou, Shanyang Wei, Wei Huang, Jinyu Wen   +6 more
wiley   +1 more source

Robust Gaussian Filtering using a Pseudo Measurement

, 2016
Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette, Cifuentes, Cristina Garcia, Issac, Jan, Meier, Franziska, Schaal, Stefan, Trimpe, Sebastian, Wüthrich, Manuel   +6 more
core   +1 more source

Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
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, Chunbo Xiu, Yuxia Liu, Dawei Liu   +3 more
wiley   +1 more source