Jove
Visualize
Contact Us

Related Concept Videos

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

74
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
74
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

87
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
87
Errors in Global Positioning System01:26

Errors in Global Positioning System

77
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
77
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

108
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
108
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

126
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
126
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

401
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
401

You might also read

Related Articles

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

Sort by
Same author

Use of proton pump inhibitors as adjunct treatment for triple-negative breast cancers. An introductory study.

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques·2014
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
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 Experiment Video

Updated: Jul 30, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

extendGAN+: Transferable Data Augmentation Framework Using WGAN-GP for Data-Driven Indoor Localisation Model.

Seanglidet Yean1, Wayne Goh2, Bu-Sung Lee2

  • 1Singtel Cognitive and Artificial Intelligence Lab (SCALE@NTU), Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.

Sensors (Basel, Switzerland)
|May 13, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces extendGAN+, a novel method for WiFi-based indoor localization that enhances accuracy with limited data. It effectively generates synthetic data, improving location prediction performance and reducing training time.

Keywords:
convolutional neural networkgenerative adversarial networks (GANs)indoor localisationreceived signal strengthtransfer learning

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

641
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

591

Related Experiment Videos

Last Updated: Jul 30, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

641
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

591

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Data-driven indoor localization faces challenges with insufficient training data, impacting prediction accuracy.
  • WiFi Received Signal Strength (RSS) data collection is labor-intensive and susceptible to environmental interference.

Purpose of the Study:

  • To propose an advanced data augmentation pipeline, extendGAN+, for improving indoor localization accuracy with small datasets.
  • To leverage synthetic data generation and data quality filtering to overcome limitations in WiFi-based localization.

Main Methods:

  • Utilized up-sampling with the Dirichlet distribution for enhanced location prediction with limited sample sizes.
  • Employed transferred Wasserstein GAN with Gradient Penalty (WGAN-GP) for synthetic WiFi RSS data generation.
  • Implemented a filtering module to ensure the quality of generated and existing data.

Main Results:

  • extendGAN+ demonstrated significant improvements in localization performance compared to baseline methods (fingerprinting, random forest).
  • Achieved accuracy enhancements of up to 23.47%, 25.35%, and 18.88% against specific benchmarks.
  • Reduced training time by a factor of four and improved performance by 10.13% compared to existing GAN+ methods due to transfer learning.

Conclusions:

  • The proposed extendGAN+ pipeline effectively addresses the challenge of small sample sizes in WiFi-based indoor localization.
  • The method not only boosts localization accuracy but also generates diverse RSS patterns, showcasing its robustness.
  • extendGAN+ offers a computationally efficient and high-performing solution for data-scarce indoor localization scenarios.