Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

57
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
57
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.5K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.5K
Flame Photometry: Overview01:02

Flame Photometry: Overview

625
Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
625

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Type II alveolar epithelial cell-specific CAP1 loss is associated with spontaneous pulmonary fibrosis and altered complement 5 signaling.

BMC pulmonary medicine·2026
Same author

TeCYC2c functions as a hub protein in the CYC2 gene cluster to regulate ray floret development in marigold (Tagetes erecta).

The Plant journal : for cell and molecular biology·2026
Same author

Trade-off analysis between soil organic carbon and maize yield under no-tillage: implication for sustainable cropland management.

Journal of environmental management·2026
Same author

Construction of Rheumatoid Arthritis-Associated Interstitial Lung Disease diagnostic model and identification of biomarkers based on a multi-omics integration strategy of machine learning.

Clinics (Sao Paulo, Brazil)·2026
Same author

Phase-Structure Engineering of Addition-Cross-Linked Silicone-Hybridized Carborane-Phenolic Resins toward Ultrahigh-Temperature Thermal Protection up to 2500 °C.

ACS applied materials & interfaces·2026
Same author

16S rRNA Gene and Metagenomic Analysis Revealed an Association Between Cecal Microbiota and Pork Umami.

Animals : an open access journal from MDPI·2026

Related Experiment Video

Updated: Jul 12, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

Multi-objective fractional-order particle swarm optimization algorithms for data processing of multi-wavelength

Mei Liang, Yongsheng Wang, Changhui Wang

    Optics Express
    |October 20, 2023
    PubMed
    Summary

    This study introduces two enhanced particle swarm optimizations to accurately determine true temperature for high-temperature targets with unknown emissivity. These algorithms improve multi-objective optimization for precise temperature inversion.

    More Related Videos

    Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
    12:11

    Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

    Published on: April 8, 2020

    8.2K
    Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
    10:36

    Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

    Published on: November 3, 2023

    1.6K

    Related Experiment Videos

    Last Updated: Jul 12, 2025

    Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
    11:53

    Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

    Published on: December 9, 2012

    13.0K
    Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
    12:11

    Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

    Published on: April 8, 2020

    8.2K
    Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
    10:36

    Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

    Published on: November 3, 2023

    1.6K

    Area of Science:

    • * Thermodynamics and Heat Transfer
    • * Computational Intelligence and Optimization Algorithms

    Background:

    • * Accurate true temperature inversion for high-temperature targets is challenging due to unknown emissivity.
    • * Existing methods often struggle with multi-objective optimization and local optima.

    Purpose of the Study:

    • * To develop novel algorithms for accurate true temperature inversion of high-temperature targets with unknown emissivity.
    • * To enhance multi-objective optimization capabilities for improved inversion accuracy.

    Main Methods:

    • * Transformation of multi-spectral true temperature inversion into a multi-objective minimum optimization problem.
    • * Development of two improved fractional-order particle swarm optimizations (IFOPSO): High-Order Nonlinear Time-Varying Inertia Weight (Hntiw) IFOPSO and Global-Local Best Values (Glbest) IFOPSO.
    • * Hntiw IFOPSO utilizes nonlinear functions for inertia weights to escape local optima; Glbest IFOPSO enhances particle updates for better optimization.

    Main Results:

    • * Both Hntiw IFOPSO and Glbest IFOPSO demonstrated effectiveness in solving the multi-objective optimization problem for true temperature inversion.
    • * Simulations using spectral emissivity models and real-world rocket tail flame data validated the proposed algorithms' accuracy.
    • * The algorithms showed improved ability to handle unknown emissivity and achieve precise temperature inversion.

    Conclusions:

    • * The proposed Hntiw IFOPSO and Glbest IFOPSO algorithms offer a robust solution for true temperature inversion of high-temperature targets with unknown emissivity.
    • * These advanced optimization techniques significantly enhance the accuracy and reliability of temperature measurements in challenging environments.