Results 81 to 90 of about 18,531 (254)

Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

ROBOMECH Journal, 2020
This paper presents an extended Kalman filter for pose estimation using noise covariance matrices based on sensor output. Compact and lightweight nine-axis motion sensors are used for motion analysis in widely various fields such as medical welfare and ...
Ayuko Saito, Satoru Kizawa, Yoshikazu Kobayashi, Kazuto Miyawaki   +3 more
doaj   +1 more source

Comparison of Extended and Unscented Kalman Filters applied to EEG signals [PDF]

, 2010
For years the Extended Kalman Filter (EKF) has been the algorithm for non-linear systems due to its simplicity and suitability to real time implementations.
Janett Walters-Williams, null Yan Li, Li, Yan, Walters-Williams, Janett   +3 more
core   +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

Sensorless Control of Electric Motors with Kalman Filters: Applications to Robotic and Industrial Systems

International Journal of Advanced Robotic Systems, 2011
The paper studies sensorless control for DC and induction motors, using Kalman Filtering techniques. First the case of a DC motor is considered and Kalman Filter-based control is implemented.
Gerasimos G. Rigatos, Pierluigi Siano
doaj   +1 more source

Image Binarisation using the Extended Kalman Filter [PDF]

, 2007
Form design is frequently carried out through paper sketches of the designer’s mental model of an object. To improve the time it takes from solution concept to production it would therefore be beneficial if paperbased sketches can be automatically interpreted for importation into three-dimensional geometric computer aided design (CAD) systems.
Bartolo, Alexandra, Camilleri, Kenneth P., Camilleri, Tracey A., Fabri, Simon G., Borg, Jonathan C., 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO)   +5 more
openaire   +2 more sources

Filtering Electrocardiogram Signals Using the Extended Kalman Filter [PDF]

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
In this paper the Extended Kalman Filter (EKF) has been used for the filtering of Electrocardiogram (ECG) signals. The method is based on a previously nonlinear dynamic model proposed for the generation of synthetic ECG signals. The results show that the EKF may be used as a powerful tool for the extraction of ECG signals from noisy measurements; which
R, Sameni, M B, Shamsollahi, C, Jutten
openaire   +2 more sources

Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskedastic Error [QA402.3. C514 2007 f rb]. [PDF]

, 2006
Sejak diperkenalkan oleh Kalman dan Bucy (1960), model penapis Kalman telah mendapat penggunaan yang luas dalam dalam program ruang angkasa dan bidang kejuteraan kawalan.
Cheah, Lee Han, Cheah, Lee Hen
core  

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Integration of a failure monitoring within a hybrid dynamic simulation environment [PDF]

, 2008
The complexity and the size of the industrial chemical processes induce the monitoring of a growing number of process variables. Their knowledge is generally based on the measurements of system variables and on the physico-chemical models of the process.
Le Lann, Jean-Marc, Olivier Maget, Nelly, Hétreux, Gilles, Olivier-Maget, Nelly, Le Lann, Marie-Véronique   +4 more
core   +1 more source

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