Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

You might also read

Related Articles

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

Sort by

Same author

Effect of angiotensin II and angiotensin II type 1 receptor antagonist on the proliferation, contraction and collagen synthesis in rat hepatic stellate cells.

Chinese medical journal·2008

Same author

[Determination of nicotinamide in formula milk powder using liquid chromatography-isotope dilution mass spectrometry].

Se pu = Chinese journal of chromatography·2008

Same author

In vivo tracking of superparamagnetic iron oxide nanoparticle-labeled mesenchymal stem cell tropism to malignant gliomas using magnetic resonance imaging. Laboratory investigation.

Journal of neurosurgery·2008

Same author

Enhancement and broadening of extreme-ultraviolet supercontinuum in a relative phase controlled two-color laser field.

Optics letters·2008

Same author

Screening and breeding of high taxol producing fungi by genome shuffling.

Science in China. Series C, Life sciences·2008

Same author

Reversible self-association of a concentrated monoclonal antibody solution mediated by Fab-Fab interaction that impacts solution viscosity.

Journal of pharmaceutical sciences·2008

Search research articles

Related Experiment Video

Updated: Jul 25, 2025

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

RETRACTED ARTICLE: Simulation experiment of Internet online art design teaching based on computer image segmentation

Yi Zhang¹, Jun Liu², Xiaoli Wu¹

¹School of Design, Hainan Vocational University of Science and Technology, Haikou, 571126 Hainan China.

Soft Computing

|June 26, 2023

Summary

This study introduces an online art teaching system using computer image segmentation to address digitization challenges in Chinese art education. The developed system demonstrates superior performance and accuracy, offering an effective digital solution for art design courses.

More Related Videos

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Related Experiment Videos

Last Updated: Jul 25, 2025

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

Art Education Technology
Computer Vision in Education
Digital Art Pedagogy

Background:

The cultural industry's growth fuels demand for spiritual enrichment, driving art and design education transformation.
Chinese art education faces challenges with non-digitized courses, outdated materials, and high costs.
Online education in China is rapidly evolving, particularly in vocational and basic education sectors.

Purpose of the Study:

To design an effective online art teaching system for art design courses.
To address the limitations of traditional art education methods through digitization.
To leverage computer image segmentation technology for enhanced art education delivery.

Main Methods:

Development of an online art teaching system incorporating computer image segmentation.
Implementation of core algorithms superior to existing methods like FCM, FCM_S1, and FCM_S2.
System design includes modules for learning guidance, course guidance, and teaching resources.

Main Results:

The core algorithm exhibits excellent performance in division entropy, coefficient, and accuracy.
Simulation experiments confirm the system's robustness, supporting numerous concurrent users.
The online system effectively meets the demands of simultaneous intranet access and external network users (500 concurrent users).

Conclusions:

The designed online art teaching system, utilizing computer image segmentation, is effective and performs well.
The system offers a viable digital solution to modernize art design education in China.
This approach enhances accessibility and efficiency in art education delivery.