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

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

8.1K
Using multimodal sensors is a promising way to understand the role of social interactions in educational settings. This paper describes a methodology for capturing joint visual attention from colocated dyads using mobile...
8.1K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.6K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.6K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

7.2K
Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form...
7.2K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

15.2K
The capability to localize an odor source is necessary for insect survival and is expected to be applicable to artificial odor-tracking. The insect-controlled robot is driven by an actual silkmoth and enables us to evaluate the odor-tracking capability of insects through a robotic...
15.2K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

2.9K
This article presents a method for spatiotemporal analysis of mobile, single-molecule Förster resonance energy transfer (smFRET)-based probes using widefield fluorescence microscopy. The newly developed software toolkit allows the determination of smFRET time traces of moving probes, including the correct FRET efficiency and the molecular positions, as functions of...
2.9K
Tracking Sugar-Elicited Local Searching Behavior in Drosophila03:53

Tracking Sugar-Elicited Local Searching Behavior in Drosophila

1.5K
This protocol describes a behavioral assay for recording sugar-elicited search behavior using Drosophila melanogaster. The assay can be utilized to study feeding and foraging-related behaviors, as well as the underlying neuronal...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Global trends (1990-2021) and trojections to 2050 in alcohol-attributable epilepsy burden among adults over 40 years old.

BMC public health·2025
Same author

A study on identifying the phenotypic saturation thresholds of broomcorn millet based on functional limits and growth models.

PloS one·2025
Same author

Efficacy and safety of Shouhui Tongbian Capsules, a traditional Chinese medicine, combined with 2L polyethylene glycol for bowel preparation before colonoscopy: a multicenter, randomized, single-blind, parallel-controlled clinical trial.

Therapeutic advances in gastroenterology·2025
Same author

Clinical evaluation of personalized <i>Helicobacter pylori</i> treatment guided by PCR detection from fecal samples: a real-world study.

Frontiers in cellular and infection microbiology·2025
Same author

The effects of Tai Chi on standing balance control in older adults may be attributed to the improvement of sensory reweighting and complexity rather than reduced sway velocity or amplitude.

Frontiers in aging neuroscience·2024
Same author

Construction and enhancement of government capacity for international communication and promotion of Chinese Wushu.

Heliyon·2024

Related Experiment Video

Updated: Jan 20, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K

Distributed Joint Cooperative Self-Localization and Target Tracking Algorithm for Mobile Networks.

Junjie Zhang1, Jianhua Cui2, Zhongyong Wang3

  • 1School of Physics and Electronic Information, Luoyang Normal University, Luoyang 471934, China.

Sensors (Basel, Switzerland)
|September 7, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel two-phase approach for precise location determination in mobile wireless networks. The method enhances joint self-location and tracking for Internet of Things applications.

Keywords:
average consensusdistributed localizationmobile networksprediction modelvariational message passing

More Related Videos

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

15.2K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.9K

Related Experiment Videos

Last Updated: Jan 20, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

15.2K
Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

2.9K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Accurate location information is crucial for Internet of Things (IoT) applications.
  • Mobile wireless networks with moving agents and targets present unique positioning challenges.
  • Existing methods for cooperative self-localization and tracking may not be optimal for dynamic environments.

Purpose of the Study:

  • To develop an improved method for joint self-location and target tracking in mobile wireless networks.
  • To enhance the accuracy and efficiency of positioning for Internet of Things (IoT) devices.
  • To address the challenges posed by random node movement in wireless networks.

Main Methods:

  • A two-phase positioning process utilizing factor graphs: a prediction phase and a joint self-location and tracking phase.
  • Development of an adaptive prediction model leveraging trajectory correlations for prediction messages.
  • Application of variational message passing for cooperative message calculation and self-localization.
  • Implementation of the average consensus algorithm for distributed target tracking.

Main Results:

  • The proposed adaptive prediction model demonstrates adaptability to random node movements.
  • The joint self-location and tracking algorithm outperforms separate cooperative self-localization and tracking algorithms.
  • Simulation results validate the effectiveness of the proposed approach in mobile wireless networks.

Conclusions:

  • The presented two-phase algorithm offers superior performance for joint self-location and tracking compared to existing methods.
  • The adaptive prediction model effectively handles the dynamic nature of mobile wireless networks.
  • This research contributes to more robust and accurate positioning solutions for IoT applications.