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

Deep Sea Microbial Ecology01:18

Deep Sea Microbial Ecology

53
The deep ocean and its underlying sediments represent vast, largely unexplored microbial habitats that extend far beyond the sunlit photic zone. The photic (euphotic) zone typically spans the upper ~100–200 meters of pelagic waters in the open ocean, but its depth varies geographically and seasonally, where sufficient light supports photosynthetic life. Below this lies the deep sea, spanning roughly 1000–6000 meters (bathypelagic to abyssal zones), with deeper hadal trenches...
53
Constant Pressure Calorimetry03:02

Constant Pressure Calorimetry

84.5K
Calorimetry is a technique used to measure the amount of heat involved in a chemical or physical process or to measure the heat transferred to or from a substance. The heat is exchanged with a calibrated and insulated device called the calorimeter. Calorimetry experiments are based on the assumption that there is no heat exchange between the insulated calorimeter and the external environment. The well-insulated calorimeters prevent the transfer of heat between the calorimeter and its external...
84.5K
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

193
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
193
Temperature Dependent Deformation01:12

Temperature Dependent Deformation

742
In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
742

You might also read

Related Articles

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

Sort by
Same author

Dietary patterns and Alzheimer's disease: East-west perspectives and future intervention strategies.

The journal of prevention of Alzheimer's disease·2026
Same author

Enhancing flavor quality in low-salt dried large yellow croaker (Pseudosciaena crocea) through secondary fermentation: insights into microbial drivers.

Food chemistry·2026
Same author

Guiding off-target nanomedicine repurposing in spleen for cancer immunotherapy.

Journal of nanobiotechnology·2026
Same author

Lactate-Induced ZMYM2 K529 Lactylation Stabilizes ZMYM2 and Promotes Platinum Resistance in Ovarian Cancer.

International journal of molecular sciences·2026
Same author

High-dynamic star identification algorithm for rolling-shutter exposure based on optical flow consistency.

Applied optics·2026
Same author

The inflammatory microenvironment repurposes BMP-2 signaling to drive pathological osteophyte formation in osteoarthritis.

Frontiers in immunology·2026

Related Experiment Video

Updated: May 5, 2026

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
10:28

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Published on: March 24, 2023

2.9K

An Intelligent Temperature Compensation Method for Pressure Sensors Under High-Temperature and High-Pressure

Yang Zhao1,2, Wanlu Jiang1,2, Enyu Tang1,2

  • 1School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

Micromachines
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an intelligent temperature compensation method using a Modified Slime Mold Algorithm (MSMA) to enhance piezoresistive pressure sensor accuracy in extreme downhole drilling environments. The MSMA optimized model significantly reduced measurement errors, improving reliability for oil and gas exploration.

Keywords:
Modified Slime Mold Algorithm (MSMA)embedded system implementationpiezoresistive pressure sensortemperature compensation

More Related Videos

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

10.7K
Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors
08:49

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors

Published on: December 21, 2019

10.4K

Related Experiment Videos

Last Updated: May 5, 2026

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
10:28

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Published on: March 24, 2023

2.9K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

10.7K
Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors
08:49

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors

Published on: December 21, 2019

10.4K

Area of Science:

  • Geophysics
  • Sensor Technology
  • Artificial Intelligence

Background:

  • Piezoresistive pressure sensors face accuracy issues in deep/ultra-deep oil and gas drilling due to extreme downhole temperatures and pressures.
  • Existing compensation methods struggle to maintain accuracy under these harsh conditions.

Purpose of the Study:

  • To develop an intelligent temperature compensation method for piezoresistive pressure sensors used in high-temperature and high-pressure downhole environments.
  • To improve the measurement accuracy and reliability of downhole pressure sensors.

Main Methods:

  • An experimental platform was built to collect sensor data across 0-175 °C and 0-170 MPa.
  • A Modified Slime Mold Algorithm (MSMA) was employed to optimize the parameters of an intelligent temperature compensation model.
  • The optimized model was deployed on an embedded hardware platform for real-time application.

Main Results:

  • The MSMA-optimized compensation model significantly reduced sensor errors, achieving a maximum full-scale error of 0.26%.
  • The sensor exhibited a maximum sensitivity drift of -0.019% FS/°C after compensation.
  • The embedded implementation demonstrated sustained accuracy and met real-time requirements.

Conclusions:

  • The proposed intelligent temperature compensation method effectively enhances the accuracy of piezoresistive pressure sensors in extreme downhole conditions.
  • The MSMA-based approach offers superior performance compared to traditional methods.
  • The solution is suitable for real-time downhole pressure monitoring and other intelligent sensors in complex environments.