Results 41 to 50 of about 47,265 (300)

An Unbalanced Weighted Sequential Fusing Multi-Sensor GM-PHD Algorithm

Sensors, 2019
In this paper, we study the multi-sensor multi-target tracking problem in the formulation of random finite sets. The Gaussian Mixture probability hypothesis density (GM-PHD) method is employed to formulate the sequential fusing multi-sensor GM-PHD (SFMGM-
Han Shen-Tu, Hanming Qian, Dongliang Peng, Yunfei Guo, Ji-An Luo   +4 more
doaj   +1 more source

A generalized class of estimators for sensitive variable in the presence of measurement error and non-response.

PLoS ONE, 2022
In this paper, a general class of estimators is proposed for estimating the finite population mean for sensitive variable, in the presence of measurement error and non-response in simple random sampling.
Erum Zahid, Javid Shabbir, Sat Gupta, Ronald Onyango, Sadia Saeed   +4 more
doaj   +1 more source

A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter

Sensors, 2022
In recent years, various algorithms using random finite sets (RFS) to solve the issue of simultaneous localization and mapping (SLAM) have been proposed.
Jiahui Yang, Weifeng Liu
doaj   +1 more source

On-Line Visual Tracking with Occlusion Handling

Sensors, 2020
One of the core challenges in visual multi-target tracking is occlusion. This is especially important in applications such as video surveillance and sports analytics.
Tharindu Rathnayake, Amirali Khodadadian Gostar, Reza Hoseinnezhad, Ruwan Tennakoon, Alireza Bab-Hadiashar   +4 more
doaj   +1 more source

A new approach for estimating variance of a population employing information obtained from a stratified random sampling

Heliyon, 2023
In this article, we suggest an enhanced estimator for the estimation of finite population variance using twofold auxiliary variable under stratified random sampling.
Sohaib Ahmad, Aned Al Mutairi, Said G. Nassr, Hassan Alsuhabi, Mustafa Kamal, Masood Ur Rehman   +5 more
doaj   +1 more source

Tracking, Identification and Classification of Random Finite Sets

, 2013
This paper considers the problem of joint multiple target tracking, identification, and classification. Standard approaches tend to treat the tasks of data association, estimation, track management and classification as separate problems.
Vo, Ba Tuong, Vo, Ba-Ngu, Ba Ngu Vo, Ba Tuong Vo   +3 more
core   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Stellar electron-capture rates on nuclei based on Skyrme functionals

EPJ Web of Conferences, 2014
In this work, electron-capture rates on nuclei for stellar conditions are calculated for Ni isotopes, using a self-consistent microscopic model based on the finite-temperature Skyrme Hartree-Fock plus finite-temperature charge-exchange random-phase ...
Fantina A. F., Khan E., Colò G., Paar N., Vretenar D.   +4 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source