Results 61 to 70 of about 63,163 (313)

Application of Kalman filter in underground personnel tracking and positioning

open access: yesGong-kuang zidonghua, 2013
In view of problem that RSSI location algorithm does not have continuity in positioning process, the paper proposed an underground personnel positioning method with continuity based on Kalman filter.
LUO Yu-feng, LIU Yong, LI Fang
doaj   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

open access: yesEnergy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei   +2 more
wiley   +1 more source

Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan   +3 more
wiley   +1 more source

The Kalman Filter Revisited Using Maximum Relative Entropy

open access: yesEntropy, 2014
In 1960, Rudolf E. Kalman created what is known as the Kalman filter, which is a way to estimate unknown variables from noisy measurements. The algorithm follows the logic that if the previous state of the system is known, it could be used as the best ...
Adom Giffin, Renaldas Urniezius
doaj   +1 more source

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

open access: yesEnergy Science &Engineering, EarlyView.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Experimental validation of the proposed extended Kalman filter with unknown inputs algorithm based on data fusion

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2020
The extended Kalman filter is a useful tool in the research of structural health monitoring and vibration control. However, the traditional extended Kalman filter approach is only applicable when the information of external inputs to structures is ...
Jinshan Huang   +4 more
doaj   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

open access: yesFire and Materials, EarlyView.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere   +2 more
wiley   +1 more source

A Comprehensive Review of Biotechnological Innovations in Valorization of Food Waste: Enhancing Nutritional, Techno‐Functional Properties, and Process Optimization for Sustainable Product Development

open access: yesFood Frontiers, EarlyView.
This review highlights recent biotechnological innovations in the valorization of food waste through enzyme‐assisted processing and microbial fermentation to enhance nutritional, techno‐functional, and shelf‐stable properties for developing sustainable, plant‐based functional foods and nutraceuticals.
Md. Sakhawot Hossain   +6 more
wiley   +1 more source

Forecasting With Machine Learning Shadow‐Rate VARs

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley   +1 more source

Precision planter monitoring system based on mobile communication network

open access: yesIET Networks, EarlyView., 2022
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley   +1 more source

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