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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.8K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Chitosan-based nanotheranostics integrated dual-modal imaging and combinatorial tumor therapy for EGFR-TKI resistance reversal.

Materials today. Bio·2026
Same author

Engineered PD1-NKG2D Dual-CAR NK92 cells broaden antitumor target recognition in preclinical tumor models.

Journal of translational medicine·2026
Same author

RBMX functional retrocopy safeguards brain development in a species-dependent context.

Brain : a journal of neurology·2026
Same author

Supported Nickel Molybdenum Sulfide Hydrocracking Catalysts Profit From Increased Proximity Between Acid and Metal Sites in the Tetralin Ring-Opening Performance.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

System-level integration of halide perovskite optoelectronics for its commercial deployment.

Nature communications·2026
Same author

Semi-automatic individual tooth segmentation from CBCT images using anatomy-guided deep neural networks and watershed transform.

Medical & biological engineering & computing·2026

Related Experiment Video

Updated: Jan 4, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K

BLE Fingerprint Indoor Localization Algorithm Based on Eight-Neighborhood Template Matching.

Mingfeng Li1, Lichen Zhao1, Ding Tan2

  • 1School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211800, China.

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

This study introduces an eight-neighborhood template algorithm to improve indoor localization accuracy. The novel method reduces locating error by considering spatial correlations in Received Signal Strength Indication data.

Keywords:
bluetooth low energyeight-neighborhoodfingerprint localizationindoor localizationtemplate matching

More Related Videos

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
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.4K

Related Experiment Videos

Last Updated: Jan 4, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K
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
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.4K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Geomatics Engineering

Background:

  • Indoor localization faces challenges due to signal non-line-of-sight propagation and environmental factors.
  • Existing algorithms like K-nearest neighbor (KNN) and weighted K-nearest neighbor (WKNN) have limitations in accuracy.

Purpose of the Study:

  • To propose a novel indoor fingerprint localization algorithm using an eight-neighborhood template.
  • To enhance the accuracy of indoor positioning by mitigating the impact of abnormal fingerprint data.

Main Methods:

  • Developed an eight-neighborhood template matching and generation method based on Received Signal Strength Indication (RSSI) differences.
  • Divided indoor environments into quadrants for each access point, using RSSI differences as template generation parameters.
  • Located unknown points using Euclidean distance correlation between templates and fingerprint database coverage areas.

Main Results:

  • The proposed algorithm achieved a locating error of 1.0 meter.
  • This represents an improvement of approximately 0.2 meters compared to KNN and WKNN algorithms.
  • The method effectively reduced the influence of abnormal fingerprint data on localization accuracy.

Conclusions:

  • The eight-neighborhood template algorithm offers improved accuracy for indoor fingerprint localization.
  • This approach enhances robustness against signal propagation issues and data anomalies.
  • The findings suggest a more reliable method for precise indoor positioning.