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

Reinforcement Schedules01:24

Reinforcement Schedules

501
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
501
Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
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
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

7.4K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.4K

You might also read

Related Articles

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

Sort by
Same author

RMT-match: an unsupervised 3D medical image registration network based on RMT and wavelet convolution.

Biomedical physics & engineering express·2026
Same author

Effect of the ultrafiltration rate on solute removal efficiency in pre-dilution on-line hemodiafiltration.

The International journal of artificial organs·2026
Same author

Alkaline selective separation of silicon/vanadium from vanadium-bearing shale and recovery of silica.

Scientific reports·2026
Same author

Alkali-circulation-mediated valorization of fluorine-rich silica residue and carbide slag: Coproduction of hydrated silica and calcium fluoride.

Journal of hazardous materials·2026
Same author

Parvalbumin neurons in inferior colliculus mediate maladaptive inhibitory compensation in age-related hearing loss.

Neurobiology of disease·2026
Same author

Stabilization of Alkanol-Alkanone Heteroclusters in Medium-Pore Zeolites Drives Orders-of-Magnitude Rate Enhancements in Proton-Catalyzed Dehydration Reactions.

Angewandte Chemie (International ed. in English)·2026
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Distributed Set-Membership Filtering for Multirate Systems Under the Round-Robin Scheduling Over Sensor Networks.

Shuai Liu, Zidong Wang, Guoliang Wei

    IEEE Transactions on Cybernetics
    |January 11, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a resource-efficient distributed filter for multirate sensor networks using a round-Robin (RR) protocol. The method minimizes communication load while ensuring filtering accuracy under bounded noise.

    More Related Videos

    Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
    09:48

    Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

    Published on: November 7, 2016

    12.4K
    A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage
    04:49

    A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage

    Published on: June 6, 2025

    890

    Related Experiment Videos

    Last Updated: Jan 30, 2026

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    1.2K
    Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
    09:48

    Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

    Published on: November 7, 2016

    12.4K
    A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage
    04:49

    A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage

    Published on: June 6, 2025

    890

    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Signal Processing

    Background:

    • Distributed set-membership filtering is crucial for sensor networks.
    • Communication burden and multirate systems pose significant challenges.
    • Existing methods often struggle with efficiency and real-time implementation.

    Purpose of the Study:

    • To design a distributed filter for time-varying multirate systems in sensor networks.
    • To reduce communication load using a round-Robin (RR) protocol.
    • To ensure filtering accuracy in the presence of bounded noise and multirate sampling.

    Main Methods:

    • Exploiting the round-Robin (RR) protocol for orchestrated data transmission.
    • Implementing a multirate strategy for sampling and filter updates.
    • Utilizing the lifting technique to establish a unified sampling rate for the augmented system.
    • Designing distributed filter gains by minimizing an error state ellipsoid.

    Main Results:

    • A recursive, resource-efficient filtering algorithm is developed.
    • The method effectively handles the complexities of RR protocols and multirate systems.
    • Guaranteed inclusion of all possible error states within a defined ellipsoid.
    • Demonstrated effectiveness through a numerical simulation example.

    Conclusions:

    • The proposed protocol-based distributed filter design is effective for multirate sensor networks.
    • The method offers a practical solution for reducing communication costs.
    • The recursive nature facilitates online implementation and real-world applicability.