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

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

401
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...
401
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

502
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...
502
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

454
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...
454
Levels of Use of a GIS01:29

Levels of Use of a GIS

511
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
511

You might also read

Related Articles

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

Sort by
Same author

Loss reduction in few-mode photonic crystal fiber by reducing inner surface imperfections in air holes.

Optics express·2015
Same author

Magnetic Resonance Imaging and Computed Tomography of the Brain-50 Years of Innovation, With a Focus on the Future.

Investigative radiology·2015
Same author

Magnetic resonance imaging and DWI features of orbital rhabdomyosarcoma.

Eye science·2015
Same author

Large deletions in the NSDHL gene in two patients with CHILD syndrome.

Acta dermato-venereologica·2015
Same author

Astrocytic tumour grading: a comparative study of three-dimensional pseudocontinuous arterial spin labelling, dynamic susceptibility contrast-enhanced perfusion-weighted imaging, and diffusion-weighted imaging.

European radiology·2015
Same author

TGF-β1 expression is associated with invasion and metastasis of intrahepatic cholangiocarcinoma.

Biological research·2015

Related Experiment Video

Updated: May 3, 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

8.7K

A spatial division clustering method and low dimensional feature extraction technique based indoor positioning

Yun Mo1, Zhongzhao Zhang2, Weixiao Meng3

  • 1Communication Research Center, School of Electronics Information Engineering, Harbin Institute of Technology, Harbin 150001, China. 11b905020@hit.edu.cn.

Sensors (Basel, Switzerland)
|January 24, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces Spatial Division Clustering (SDC) for indoor positioning systems. SDC improves accuracy and reduces computational load by considering physical distances in fingerprint clustering.

More Related Videos

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

13.4K

Related Experiment Videos

Last Updated: May 3, 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

8.7K
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

13.4K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Geomatics Engineering

Background:

  • Indoor positioning systems (IPS) commonly use fingerprinting, but large datasets increase computational complexity and errors.
  • Existing clustering methods for IPS lack physical coordinate continuity and struggle with access point outages, causing asymmetric matching problems.

Purpose of the Study:

  • To propose a novel indoor positioning system using Spatial Division Clustering (SDC) to address limitations of traditional fingerprint-based methods.
  • To enhance both coarse and fine positioning accuracy while managing computational burden and improving robustness.

Main Methods:

  • Spatial Division Clustering (SDC) is employed to cluster fingerprint data, incorporating physical distance constraints.
  • Genetic Algorithm (GA) and Support Vector Machine (SVM) are utilized for SDC to improve coarse positioning.
  • Kernel Principal Component Analysis (KPCA) is applied for feature extraction in the fine localization stage.

Main Results:

  • The proposed SDC method achieves higher coarse positioning accuracy compared to traditional clustering algorithms.
  • The system demonstrates superior fine localization performance, especially in low-dimensional feature spaces, outperforming other feature extraction methods.
  • SDC effectively balances computational load, enhances radio map clustering, and shows improved robustness against asymmetric matching problems.

Conclusions:

  • The SDC-based indoor positioning system offers significant improvements in accuracy, computational efficiency, and robustness.
  • This approach provides a more adaptable and reliable solution for indoor localization challenges, particularly those involving access point outages.