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

Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Review and Preview

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...

Cut-off Frequency of BJT

Cut-off Frequency of BJT

Cut-off frequencies in Bipolar Junction Transistors (BJTs) mark the transition between the signal's pass band and stop band, influencing their performance in amplifying or attenuating frequencies. These frequencies are crucial for designing BJTs to meet specific operational requirements in electronic circuits.
Alpha Cut-Off Frequency: Pertinent to the common-base configuration, the alpha cut-off frequency defines the upper-frequency limit at which the current gain, alpha, remains stable. As...

Brick Cutting Techniques

Brick Cutting Techniques

Brick-cutting techniques involve various tools and methods to shape bricks for construction. A mason's hammer with a chisel-pointed end is used for basic shaping through sharp, precise strikes. For more complex shapes requiring higher precision, a power saw with a water-cooled diamond blade is used.
Cut bricks are categorized by size. Bricks cut to half their original length are called half-bats, while those cut to three-fourths their length are known as three-fourth bats.
Special types of...

Hybridoma Technology

Hybridoma Technology

Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...

Overview of Advanced Functional Groups

Overview of Advanced Functional Groups

Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.

You might also read

Related Articles

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

Sort by

Same author

Print, pattern, stick: low-cost gecko-inspired adhesives using embedded diffraction structures.

Bioinspiration & biomimetics·2026

Same author

A Review of the Residual Stress Generation in Metal Additive Manufacturing: Analysis of Cause, Measurement, Effects, and Prevention.

Micromachines·2023

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 14, 2026

Antimicrobial Characterization of Advanced Materials for Bioengineering Applications

Antimicrobial Characterization of Advanced Materials for Bioengineering Applications

Published on: August 4, 2018

Advanced Sensor Technologies in Cutting Applications: A Review.

Motaz Hassan¹, Roan Kirwin¹, Chandra Sekhar Rakurty¹

¹The M.K Morse Company, Canton, OH 44707, USA.

Sensors (Basel, Switzerland)

|February 13, 2026

Summary

This summary is machine-generated.

Advanced sensing technologies are revolutionizing cutting operations through data-driven monitoring and optimization. Sensor fusion, AI, and edge computing enhance predictive maintenance and intelligent manufacturing for Industry 4.0.

Keywords:

Industry 4.0 acoustic emission sensing cutting processes eddy-current sensors machine vision multi-modal sensor fusion optical inspection predictive maintenance tool condition monitoring vibration sensors

More Related Videos

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Published on: June 14, 2024

Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors

Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors

Published on: September 10, 2013

Related Experiment Videos

Last Updated: Feb 14, 2026

Antimicrobial Characterization of Advanced Materials for Bioengineering Applications

Antimicrobial Characterization of Advanced Materials for Bioengineering Applications

Published on: August 4, 2018

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Author Spotlight: Development and Characterization of 2D Intestinal Monolayer Models from Bovine Organoids for Pathogen Interaction Studies

Published on: June 14, 2024

Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors

Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors

Published on: September 10, 2013

Area of Science:

Manufacturing Engineering
Materials Science
Instrumentation & Measurement

Background:

Sensing technologies are crucial for data-driven condition monitoring, predictive maintenance, and process optimization in cutting operations.
Traditional sensing modalities have limitations in accuracy and robustness under dynamic cutting conditions.

Purpose of the Study:

To review recent advancements in sensing modalities for cutting systems.
To explore the trend towards hybrid and multi-modal sensing frameworks.
To discuss the role of AI, IoT, and edge computing in real-time monitoring.

Main Methods:

Survey of vibration, acoustic emission, optical, eddy-current, and force sensors.
Analysis of hybrid/multi-modal sensing frameworks and sensor fusion techniques.
Discussion of artificial intelligence, Internet of Things (IoT), and edge computing applications.

Main Results:

Individual sensor modalities capture specific signatures but have limitations.
Hybrid and multi-modal sensor fusion significantly improves diagnostic accuracy and reliability.
AI, IoT, and edge computing enable scalable, real-time monitoring solutions.

Conclusions:

Advanced sensing and hybrid monitoring are key drivers for intelligent, Industry 4.0 manufacturing.
Future directions include robust fusion architectures, physics-informed models, and digital twins.
Cost-effective sensor deployment is essential for widespread adoption in manufacturing.