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

Convolution Properties II01:17

Convolution Properties II

583
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
583
Convolution Properties I01:20

Convolution Properties I

587
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
587
pH Scale02:41

pH Scale

79.6K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
79.6K
Lumber Defects01:23

Lumber Defects

514
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
514
Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

660
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
660
Scaling01:26

Scaling

593
In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
593

You might also read

Related Articles

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

Sort by
Same author

2,2'-(1,3,5,7-Tetra-oxo-1,2,3,5,6,7-hexa-hydro-pyrrolo[3,4-f]isoindole-2,6-di-yl)diacetic acid N,N-dimethyl-formamide disolvate.

Acta crystallographica. Section E, Structure reports online·2011
Same author

4,4'-Bipyridine-2,3,4,5,6-penta-fluoro-benzoic acid (1/2).

Acta crystallographica. Section E, Structure reports online·2011
Same author

Development of a new duplex real-time polymerase chain reaction assay for hepatitis B viral DNA detection.

Virology journal·2011
Same author

Annexin A5-conjugated polymeric micelles for dual SPECT and optical detection of apoptosis.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2011
Same author

[Preventive and therapeutic effects of quercetin on hyperuricemia and renal injury in rats].

Wei sheng yan jiu = Journal of hygiene research·2011
Same author

Molecular and biochemical characterization of a new alkaline β-propeller phytase from the insect symbiotic bacterium Janthinobacterium sp. TN115.

Applied microbiology and biotechnology·2011

Related Experiment Video

Updated: Jan 30, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.4K

Aerospace aluminum surface defect detection method based on Multi-Scale Convolution and attention mechanism.

Rui Zhang1, Shanshan Cai2, Zhen He1

  • 1School of Engineering Science, Shandong Xiehe University, Jinan, 250107, China.

Scientific Reports
|January 28, 2026
PubMed
Summary

This study introduces an improved method for detecting small defects on aluminum surfaces using an enhanced YOLOv11n framework. The new approach significantly boosts detection accuracy and recognition performance for critical industrial applications.

Keywords:
Aluminum surface defect detectionCARAFE upsampling operatorDilation-wise residual and dilated reparam block moduleSimAM attention mechanismYOLOv11n

More Related Videos

Simultaneous Multi-surface Anodizations and Stair-like Reverse Biases Detachment of Anodic Aluminum Oxides in Sulfuric and Oxalic Acid Electrolyte
10:27

Simultaneous Multi-surface Anodizations and Stair-like Reverse Biases Detachment of Anodic Aluminum Oxides in Sulfuric and Oxalic Acid Electrolyte

Published on: October 5, 2017

7.7K
Experimental Procedure for Warm Spinning of Cast Aluminum Components
07:36

Experimental Procedure for Warm Spinning of Cast Aluminum Components

Published on: February 1, 2017

9.9K

Related Experiment Videos

Last Updated: Jan 30, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.4K
Simultaneous Multi-surface Anodizations and Stair-like Reverse Biases Detachment of Anodic Aluminum Oxides in Sulfuric and Oxalic Acid Electrolyte
10:27

Simultaneous Multi-surface Anodizations and Stair-like Reverse Biases Detachment of Anodic Aluminum Oxides in Sulfuric and Oxalic Acid Electrolyte

Published on: October 5, 2017

7.7K
Experimental Procedure for Warm Spinning of Cast Aluminum Components
07:36

Experimental Procedure for Warm Spinning of Cast Aluminum Components

Published on: February 1, 2017

9.9K

Area of Science:

  • Materials Science
  • Computer Vision
  • Manufacturing Technology

Background:

  • Small target defects on aluminum surfaces pose significant risks to product safety and durability in key industries.
  • Traditional detection methods face challenges with defect diversity, small size, low contrast, and background noise.

Purpose of the Study:

  • To develop an enhanced small target detection method for aluminum surfaces.
  • To improve the precision and reliability of defect detection in industrial manufacturing.

Main Methods:

  • Leveraged the YOLOv11n framework for object detection.
  • Integrated a dilation-wise residual and dilated reparameterization block for feature extraction.
  • Incorporated the SimAM attention mechanism for enhanced focus on critical features.
  • Utilized the CARAFE upsampling operator to preserve small target details.

Main Results:

  • Achieved a mean average precision (mAP@0.5) of 79.4%, a 2.9% improvement over the baseline.
  • Reached a recall of 76.6%, a 4.4% improvement over the baseline.
  • Demonstrated superior detection accuracy and recognition ability compared to existing methods.

Conclusions:

  • The proposed enhanced YOLOv11n method effectively detects small defects on aluminum surfaces.
  • The integration of novel modules significantly improves feature extraction and attention mechanisms.
  • This approach offers a robust solution for practical industrial defect detection scenarios.