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

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...
Errors in Global Positioning System01:26

Errors in Global Positioning System

Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
Distance Corrections01:15

Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...

You might also read

Related Articles

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

Sort by
Same author

New-Onset Type 2 Diabetes Mellitus and Cancer Risk: A Matched Cohort Study in China Kadoorie Biobank.

International journal of cancer·2026
Same author

Molecular alterations prediction in gliomas via an interpretable deep learning model: a multicentre and retrospective study.

The Lancet. Digital health·2026
Same author

An Analyte-Derived Turn-On Fluorescent Nanozyme Sensor Enabled by a Programmable Light-Driven Cascade for o-Nitroaniline Detection.

Analytical chemistry·2026
Same author

Cell Probe Cocktail Enables Ratiometric miRNA Detection with Enhanced Sensitivity and an Extended Dynamic Range.

Analytical chemistry·2026
Same author

Porous N, C co-doped Co<sub>3</sub>O<sub>4</sub> nanozyme with efficient oxidase-like activity for colorimetric detection of magnesium ascorbyl phosphate.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Hydroxyl Radical-Activatable NIR-II Ratiometric Fluorescence Probe for Visualization In Vivo Tracking of Oxidative Stress and Therapeutic Response in Arthritis.

Analytical chemistry·2026

Related Experiment Video

Updated: May 8, 2026

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
04:33

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

Published on: August 21, 2018

Low-cost ultrasonic distance sensor arrays with networked error correction.

Hongjun Dai1, Shulin Zhao, Zhiping Jia

  • 1Department of Computer Science and Technology, Shandong University, Jinan 276023, China. dahogn@sdu.edu.cn

Sensors (Basel, Switzerland)
|September 10, 2013
PubMed
Summary

This study introduces a novel networked error correction (NEC) model for ultrasonic distance sensors. The NEC model significantly improves measurement accuracy by compensating for environmental factors using data from neighboring sensors.

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
09:03

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Related Experiment Videos

Last Updated: May 8, 2026

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
04:33

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

Published on: August 21, 2018

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
09:03

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Area of Science:

  • Sensor Technology
  • Metrology
  • Industrial Automation

Background:

  • Ultrasonic distance sensors are cost-effective but susceptible to environmental variations (temperature, humidity, pressure).
  • Inaccurate measurements due to environmental factors pose significant challenges in manufacturing and control.
  • Existing approaches do not leverage inter-sensor data for error compensation.

Purpose of the Study:

  • To develop a novel ultrasonic distance sensor model incorporating networked error correction (NEC).
  • To enhance measurement accuracy by compensating for environmental influences.
  • To improve the reliability of ultrasonic sensors in industrial applications.

Main Methods:

  • A networked error correction (NEC) technique was developed, focusing on sensor array topology.
  • Maximum likelihood estimation was used for optimal data fusion.
  • A high-speed neighbor discovery algorithm identified adjacent sensor nodes.
  • An NEC optimization algorithm utilized correlation coefficients between neighboring sensors.

Main Results:

  • The NEC system achieved ranging errors within 2.20%.
  • Mean absolute percentage error was reduced to 0.01% after three iterations.
  • The proposed method demonstrated superior performance in compensating for environmental effects.

Conclusions:

  • The novel NEC model significantly enhances the accuracy of ultrasonic distance measurements.
  • This approach offers a robust solution for mitigating environmental impacts on sensor data.
  • The NEC-enabled distance measurement method provides a substantial advantage for intelligent industrial automation.