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

Choosing Between z and t Distribution01:25

Choosing Between z and t Distribution

3.5K
The z and the Student t distribution estimate the population mean using the sample mean and standard deviation. However, to decide which distribution to use for a calculation, one needs to determine the sample size, the nature of the distribution, and whether the population standard deviation is known. If the population standard deviation is known and the population is normally distributed, or if the sample size is greater than 30, the z distribution is preferred. The Student t distribution is...
3.5K
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
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
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...
16.1K
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

753
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...
753
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

679
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
679

You might also read

Related Articles

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

Sort by
Same author

A New Approach to ORB Acceleration Using a Modern Low-Power Microcontroller.

Sensors (Basel, Switzerland)·2025
Same author

Design Decisions for Wearable EEG to Detect Motor Imagery Movements.

Sensors (Basel, Switzerland)·2024
Same author

Network QoS Impact on Spatial Perception through Sensory Substitution in Navigation Systems for Blind and Visually Impaired People.

Sensors (Basel, Switzerland)·2023
Same author

VES: A Mixed-Reality Development Platform of Navigation Systems for Blind and Visually Impaired.

Sensors (Basel, Switzerland)·2021
Same author

Methods for Lowering the Power Consumption of OS-Based Adaptive Deep Brain Stimulation Controllers.

Sensors (Basel, Switzerland)·2021
Same author

MIGOU: A Low-Power Experimental Platform with Programmable Logic Resources and Software-Defined Radio Capabilities.

Sensors (Basel, Switzerland)·2019

Related Experiment Video

Updated: Jan 21, 2026

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
05:18

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

8.9K

A Methodology for Choosing Time Synchronization Strategies for Wireless IoT Networks.

Francisco Tirado-Andrés1, Alba Rozas2, Alvaro Araujo2

  • 1B105 Electronic Systems Lab, ETSI Telecomunicación, Universidad Politécnica de Madrid, Avda. Complutense 30, 28040 Madrid, Spain. frta@b105.upm.es.

Sensors (Basel, Switzerland)
|August 10, 2019
PubMed
Summary

Choosing the right time synchronization for wireless Internet of Things (IoT) applications is complex. This study introduces a methodology and tool to simplify selecting appropriate time synchronization strategies for diverse IoT needs.

Keywords:
IoTmethodologytime synchronization

More Related Videos

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

13.3K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.6K

Related Experiment Videos

Last Updated: Jan 21, 2026

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
05:18

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

8.9K
Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

13.3K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.6K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • The Internet of Things (IoT) is rapidly expanding with new wireless devices and applications.
  • Many IoT applications require precise time synchronization for efficient spectrum use, data aggregation, and coordinated communication.
  • Existing time synchronization solutions often necessitate expert knowledge, leading to ad hoc implementations.

Purpose of the Study:

  • To present a systematic methodology for selecting time synchronization strategies in wireless IoT.
  • To introduce a user-friendly tool that aids developers in choosing appropriate time synchronization methods.
  • To abstract the complexities of time synchronization for IoT developers, regardless of their expertise.

Main Methods:

  • Development of a decision-making methodology for time synchronization strategy selection.
  • Creation of a guiding tool that simplifies the selection process through input forms.
  • Analysis of diverse wireless IoT application requirements for time synchronization.

Main Results:

  • A structured approach to selecting time synchronization strategies tailored to specific IoT applications.
  • A practical tool that empowers developers to choose correct strategies without deep technical knowledge.
  • A set of recommended time synchronization strategies aligned with application needs.

Conclusions:

  • The proposed methodology and tool effectively address the challenge of selecting time synchronization for wireless IoT.
  • Developers can now choose adequate time synchronization strategies more easily, improving IoT system performance.
  • This work democratizes the selection of time synchronization, benefiting a wider range of IoT applications.