Results 71 to 80 of about 4,548 (274)

Accelerating Gauss-Newton filters on FPGA's [PDF]

, 2010
Includes bibliographical references (leaves 123-128).Radar tracking filters are generally computationally expensive, involving the manipulation of large matrices and deeply nested loops. In addition, they must generally work in real-time to be of any use.
Da Conceicao, Jean-Paul Costa
core  

Performance change detection and recovery in inferential control loops

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley   +1 more source

An Ultra-Short Baseline Underwater Positioning System with Kalman Filtering

Sensors, 2020
The ultra-short baseline underwater positioning is one of the most widely applied methods in underwater positioning and navigation due to its simplicity, efficiency, low cost, and accuracy.
Qinghua Luo, Xiaozhen Yan, Chunyu Ju, Yunsai Chen, Zhenhua Luo   +4 more
doaj   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Challenges with bearings only tracking for missile guidance systems and how to cope with them. [PDF]

, 2010
This paper addresses the problem of closed loop missile guidance using bearings and target angular extent information. Comparison is performed between particle filtering methods and derivative free methods.
Mihaylova, Lyudmila, Vorley, D., Watson, A.   +2 more
core  

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

Energy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che, Bo Wang, Keru Chen, Siqi Yan, Fei Qi   +4 more
wiley   +1 more source

Adaptive Resource Provisioning for Virtualized Servers Using Kalman Filters [PDF]

, 2014
Resource management of virtualized servers in data-centres has become a critical task, since it enables costeffective consolidation of server applications.
Kalyvianaki, Evangelia, Hand, S., Hand, Steven, Charalambous, T., Kalyvianaki, E., Charalambous, Themistoklis,   +5 more
core   +1 more source

Improving Ballistic Prediction Accuracy for Upper Stages Using Adaptive Kalman Filtering

Aerospace
Accurate ballistic trajectory prediction for upper stages on low Earth orbit is challenged by non-stationary atmospheric density driven by solar activity: as density varies, fixed noise covariance matrices in standard Kalman filters become mismatched ...
Tamila Zhakenova, Marat Nurguzhin, Aruzhan Toleubay, Nurlybek Spandiyar, Arman Komekbayev, Oraz Kumarkhan   +5 more
doaj   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source