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

Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

4.0K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
4.0K
Heating and Cooling Curves02:44

Heating and Cooling Curves

26.3K
When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...
26.3K
Temperature Measurement Sites01:14

Temperature Measurement Sites

2.9K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
2.9K
Thermometers and Temperature Scales01:22

Thermometers and Temperature Scales

7.0K
Any physical property that depends consistently and reproducibly on temperature can be used as the basis of a thermometer. For example, volume increases with temperature for most substances. This property is the basis for the common alcohol thermometer and the original mercury thermometers. Other properties used to measure temperature include electrical resistance, color, and the emission of infrared radiation.
As many physical properties depend on temperature, the variety of thermometers is...
7.0K
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

4.4K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
4.4K
Instrument Calibration01:12

Instrument Calibration

611
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
611

You might also read

Related Articles

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

Sort by
Same author

Inhibitory effects of salvianolic acid B on CCl(4)-induced hepatic fibrosis through regulating NF-κB/IκBα signaling.

Journal of ethnopharmacology·2012
Same author

Combined organic-inorganic fouling of forward osmosis hollow fiber membranes.

Water research·2012
Same author

Expression of the human glucokinase gene: important roles of the 5' flanking and intron 1 sequences.

PloS one·2012
Same author

Long term outcome after conservative and surgical treatment of haemorrhagic moyamoya disease.

Journal of neurology, neurosurgery, and psychiatry·2012
Same author

A role for low-abundance miRNAs in colon cancer: the miR-206/Krüppel-like factor 4 (KLF4) axis.

Clinical epigenetics·2012
Same author

Impact of the 2008 US Preventive Services Task Force recommendation to discontinue prostate cancer screening among male Medicare beneficiaries.

Archives of internal medicine·2012

Related Experiment Video

Updated: Dec 25, 2025

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
07:59

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

Published on: December 6, 2018

8.6K

Temperature Sensor Denoising Algorithm Based on Curve Fitting and Compound Kalman Filtering.

Yang Zhang1, Rong Wang1, Shouzhe Li2

  • 1The College of Engineering, Ocean University of China, Shandong 266100, China.

Sensors (Basel, Switzerland)
|April 5, 2020
PubMed
Summary

A new compound Kalman smoothing filter (CKSF) algorithm improves ocean temperature sensor accuracy. It uses least square fitting and wavelet transform to reduce noise and enhance data reliability for better ocean observations.

Keywords:
CKSFleast squares methodnoisenoise variancetemperature sensorwavelet transform

More Related Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.0K
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

9.7K

Related Experiment Videos

Last Updated: Dec 25, 2025

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
07:59

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

Published on: December 6, 2018

8.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.0K
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

9.7K

Area of Science:

  • Oceanography
  • Sensor Technology
  • Signal Processing

Background:

  • Ocean temperature is a critical parameter for global ocean observations.
  • High-precision ocean sensors are susceptible to interferences and random noises, affecting linearity and accuracy.
  • Existing methods struggle to accurately estimate noise characteristics and correct sensor deviations.

Purpose of the Study:

  • To develop an advanced filtering algorithm for improving the accuracy and stability of ocean temperature sensors.
  • To address the challenges posed by noise and non-linearity in oceanographic measurements.
  • To enhance the reliability of data from ocean temperature monitoring systems.

Main Methods:

  • A compound Kalman smoothing filter (CKSF) algorithm integrating least square curve fitting and wavelet transform was proposed.
  • Least square method was employed to fit sensor data, eliminating system-induced non-linear factors.
  • Wavelet transform was utilized for real-time noise tracking and accurate estimation of noise variance.

Main Results:

  • The CKSF algorithm demonstrated superior performance compared to single Kalman filtering.
  • Application to ocean temperature sensors showed significant improvements in measurement accuracy and stability.
  • The method effectively reduced noise and corrected non-linear deviations in sensor readings.

Conclusions:

  • The proposed compound Kalman smoothing filter (CKSF) algorithm effectively enhances ocean temperature sensor performance.
  • This approach provides a more accurate and stable method for oceanographic data acquisition.
  • The CKSF algorithm offers a valuable tool for improving the quality of world ocean observations.