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

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

789
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
789
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

408
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
408
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

436
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
436
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K

You might also read

Related Articles

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

Sort by
Same author

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

Computational intelligence and neuroscience·2017
Same author

Immune centroids oversampling method for binary classification.

Computational intelligence and neuroscience·2015
Same author

Mixed pattern matching-based traffic abnormal behavior recognition.

TheScientificWorldJournal·2014
Same author

[Effects of Pa-pex 11 gene on penicillin production in Penicillium aurantiogriseum].

Wei sheng wu xue bao = Acta microbiologica Sinica·2010
Same author

Inhibition of lung fluid clearance and epithelial Na+ channels by chlorine, hypochlorous acid, and chloramines.

The Journal of biological chemistry·2010
Same author

Discovery and optimization of novel 3-piperazinylcoumarin antagonist of chemokine-like factor 1 with oral antiasthma activity in mice.

Journal of medicinal chemistry·2010
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

3.0K

Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks.

Zhaobin Liu1, Qiang Ma2, Wenzhi Liu3

  • 1School of Computer Engineering, Suzhou Vocational University, Suzhou 215104, China. zbliusz@126.com.

Sensors (Basel, Switzerland)
|July 4, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to enhance Wireless Sensor Network (WSN) reliability by mitigating interference noise affecting time synchronization. The approach dynamically assesses node behavior and employs a Bayesian prediction model for improved access control and data integrity.

Keywords:
access controlinterference noisereliabilitytime synchronizationwireless sensor networks

More Related Videos

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.6K
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

2.6K

Related Experiment Videos

Last Updated: Feb 8, 2026

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

3.0K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.6K
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

2.6K

Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • Wireless Sensor Networks (WSN) face critical challenges in data transmission reliability and security due to widespread applications.
  • Interference noise significantly impacts WSN time synchronization, affecting clock skew and offset, thereby compromising network integrity.
  • Existing methods struggle to dynamically address noise interference and ensure robust access control in time-sensitive WSN environments.

Purpose of the Study:

  • To propose a novel method for access control and interference noise mitigation in WSN time synchronization.
  • To enhance the internal reliability and external safety of WSN data transmission.
  • To develop a dynamic system for estimating node interference behavior and improving detection quality.

Main Methods:

  • Formal definition of interference noise impact on clock parameters (skew, offset).
  • Dynamic estimation of node interference behavior based on time-stamp changes.
  • Bayesian prediction model for neighbor node reliability assessment, using interference noise as a key factor.
  • Implementation of a trust level division with bilinear definition for noise reduction and improved detection.

Main Results:

  • The proposed model demonstrates superior performance in system overhead, energy consumption, and testing errors compared to existing methods.
  • The optimized algorithm exhibits faster convergence and lower network communication load under increasing WSN disturbance intensity.
  • Experimental validation confirms the effectiveness of the proposed method in mitigating interference noise and enhancing WSN reliability.

Conclusions:

  • The developed method effectively addresses interference noise in WSN time synchronization, improving overall network reliability and safety.
  • The dynamic assessment and Bayesian prediction approach provide a robust framework for access control and interference detection.
  • The proposed solution offers significant advantages in resource-constrained WSN environments, particularly concerning energy efficiency and communication load.