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

Classifying Matter by Composition03:35

Classifying Matter by Composition

90.2K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
90.2K
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.6K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.6K
Administering Oxygen by Mask01:30

Administering Oxygen by Mask

2.3K
Administering Oxygen by Mask
Administering oxygen by mask is a common nursing intervention that provides supplemental oxygen to patients with respiratory distress or chronic lung conditions. This procedure involves delivering oxygen at a specified rate through a face mask connected to an oxygen source.
Equipment
The equipment necessary for this procedure includes:
2.3K
Oxygen Delivering System I: Nasal Cannula and Face Mask01:26

Oxygen Delivering System I: Nasal Cannula and Face Mask

1.6K
The human body requires oxygen to function, and when the natural process of respiration is hindered, external devices, including the following, are needed to help deliver this vital gas.
Nasal Cannula
A nasal cannula is a lightweight tube split at one end into two prongs and placed in the nostrils. It is typically used to deliver low to medium levels of oxygen.
Suggested flow rate: The suggested flow rate for a nasal cannula typically ranges between 1 and 6 L/min.
Oxygen percentage setting:...
1.6K
Composite Bodies00:55

Composite Bodies

1.4K
A composite body is a body made up of multiple parts, connected to form a larger, unified object. Each part has its own weight and center of gravity, which must be considered to determine the center of gravity of the composite body. In cases where the density or specific weight is constant, the center of gravity coincides with the centroid.
Composite bodies have widespread applications in mechanical engineering, from automobiles to aircraft to rockets. For example, an automobile wheel comprises...
1.4K
Composition of Blood01:22

Composition of Blood

12.1K
The blood in our bodies comprises three major components: blood plasma, formed elements, and the extracellular matrix. Blood plasma is a yellowish fluid that constitutes 55% of the total blood volume. It is primarily made up of water and essential substances such as electrolytes and proteins. Blood plasma serves as a medium for transporting blood cells and also contains nutrients, enzymes, hormones, antibodies, and gases.
Formed elements constitute the remaining 45% of the blood volume. These...
12.1K

You might also read

Related Articles

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

Sort by
Same author

Quantitative evaluation of crack based on the sparse decomposition of array Lamb wave propagation.

Ultrasonics·2023
Same author

Genetic manipulation of a transcription-regulating sequence of porcine reproductive and respiratory syndrome virus reveals key nucleotides determining its activity.

Archives of virology·2014
Same author

Preparation and characterization of starch crosslinked with sodium trimetaphosphate and hydrolyzed by enzymes.

Carbohydrate polymers·2014
Same author

Two monoclonal antibodies recognising aa 634-668 and aa 1026-1055 of NogoA enhance axon extension and branching in cultured neurons.

PloS one·2014
Same author

Energetics of defects on graphene through fluorination.

ChemSusChem·2014
Same author

Incidence of microscopically positive proximal margins in adenocarcinoma of the gastroesophageal junction.

PloS one·2014

Related Experiment Video

Updated: Jan 29, 2026

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist
07:48

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

Published on: April 25, 2018

6.6K

Adaptive sampling for efficient Lamb wavefield reconstruction in composite laminates with Spatial-Temporal Masked

Dingcheng Ji1, Wenhao Li2, Fei Gao1

  • 1School of Reliability and Systems Engineering, Beihang University, Xueyuan Road No. 37, Haidian District, Beijing, China.

Ultrasonics
|January 27, 2026
PubMed
Summary

This study introduces a deep learning method to reconstruct full ultrasonic Lamb wavefield data from sparse measurements, enabling accurate damage assessment in carbon fiber composites. The approach significantly reduces data acquisition needs for non-destructive testing applications.

Keywords:
Adaptive spatial samplingCompositelaminatesDeep learningLamb wavefieldreconstruction

More Related Videos

Author Spotlight: Enhancing Fiber Composite Laminate Quality with the Wet Hand Lay-Up/Vacuum Bag Process
09:54

Author Spotlight: Enhancing Fiber Composite Laminate Quality with the Wet Hand Lay-Up/Vacuum Bag Process

Published on: June 30, 2023

3.1K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

6.3K

Related Experiment Videos

Last Updated: Jan 29, 2026

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist
07:48

Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

Published on: April 25, 2018

6.6K
Author Spotlight: Enhancing Fiber Composite Laminate Quality with the Wet Hand Lay-Up/Vacuum Bag Process
09:54

Author Spotlight: Enhancing Fiber Composite Laminate Quality with the Wet Hand Lay-Up/Vacuum Bag Process

Published on: June 30, 2023

3.1K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

6.3K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Artificial Intelligence

Background:

  • Carbon fiber reinforced plastics (CFRP) require accurate damage assessment for engineering applications.
  • Ultrasonic Lamb wave testing (ULWT) and Scanning Laser Doppler Vibrometer (SLDV) are key non-destructive testing (NDT) methods.
  • Acquiring full wavefield data rapidly and reliably with SLDV remains a significant challenge.

Purpose of the Study:

  • To develop a deep learning approach for reconstructing full wavefield data from highly under-sampled data.
  • To introduce an adaptive sampling strategy for optimizing wavefield data acquisition.
  • To enhance the accuracy and efficiency of damage quantification in CFRP structures.

Main Methods:

  • Spatial-Temporal Masked AutoEncoder (STMAE) for wavefield reconstruction from sparse data.
  • Bayesian Optimization for adaptive sparse spatial sampling pattern generation.
  • Comparative experiments on single- and multi-damage scenarios with varying sampling ratios.

Main Results:

  • Achieved remarkable reconstruction performance with sampling ratios as low as 5%.
  • The adaptive sampling strategy (AdaSTMAE) reduced reconstruction error by 2-16% (single-damage) and 0.7-5% (multi-damage) around damage areas.
  • Demonstrated an 87-88% reduction in reconstruction error compared to the original Masked Autoencoder (MAE).
  • Validated strong generalization capability on composite blades with variable thickness.

Conclusions:

  • The proposed deep learning method effectively reconstructs full wavefield data from sparse measurements.
  • Adaptive sampling optimizes data acquisition, improving damage localization accuracy.
  • The technique shows significant potential for real-world NDT of CFRP structures.