Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Sign Test for Matched Pairs

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Conservation of Protein Domains Over Different Proteins

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...

P-N junction

P-N junction

A p-n junction is formed when p-type and n-type semiconductor materials are joined together. At the interface of the p-n junction, holes from the p-side and electrons from the n-side begin to diffuse into the opposite sides due to the concentration gradient. This diffusion of carriers leads to a region around the junction where there are no free charge carriers, known as the depletion region. The charge density within the depletion region for the n-side and p-side can be described by the...

Trial and Error and Algorithm

Trial and Error and Algorithm

A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...

Decision Making

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...

You might also read

Related Articles

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

Sort by

Same author

A clinically aligned multimodal workflow framework for chronic wound assessment: An evidence-informed conceptual modeling study.

Digital health·2026

Same author

Integrated Bioinformatics and Explainable Machine Learning Analyses Reveal Mesenchymal Stem Cell Exosome-Related Biomarkers for Diabetic Retinopathy.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics·2026

Same author

Correction: The disruptor of telomeric silencing 1-like (DOT1L) promotes peritoneal fibrosis through the upregulation and activation of protein tyrosine kinases.

Molecular biomedicine·2026

Same author

Ubiquitin-specific protease 11 facilitates the activation and proliferation of renal interstitial fibroblasts through epidermal growth factor receptor signaling pathways.

Renal failure·2026

Same author

ROS-scavenging photothermal hydrogel to remodel the diabetic wound microenvironment and accelerate healing.

Acta biomaterialia·2026

Same author

Dynamic ROS-responsive injectable hydrogel incorporating nanozymes for spinal cord repair by alleviating oxidative stress and neuronal ferroptosis.

Biomaterials·2026

Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026

Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026

Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026

Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026

Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026

Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 25, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Map-matching algorithm based on the junction decision domain and the hidden Markov model.

Hui Qi^1,2, Xiaoqiang Di^1,2, Jinqing Li^1,2

¹Jilin Province Key Laboratory of Network and Information Security, Changchun University of Science and Technology, Changchun, Jilin, China.

|May 15, 2019

Summary

This summary is machine-generated.

This study introduces a new junction decision domain model to improve map-matching accuracy in vehicle navigation systems. The enhanced hidden Markov model (HMM) algorithm effectively reduces errors at road junctions, boosting overall navigation performance.

More Related Videos

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Published on: May 3, 2017

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Related Experiment Videos

Last Updated: Jan 25, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Published on: May 3, 2017

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Area of Science:

* Intelligent Transportation Systems
* Geomatics Engineering
* Computer Science

Background:

* Accurate vehicle positioning is crucial for effective navigation systems.
* Complex road networks and data inaccuracies pose significant challenges to map-matching algorithms.
* Junction matching is identified as a critical factor influencing overall map-matching performance.

Purpose of the Study:

* To address the challenges in map-matching, particularly at road junctions.
* To develop and validate a novel junction decision domain model.
* To improve the performance of map-matching algorithms using the proposed model.

Main Methods:

* Analysis of existing map-matching algorithms to identify key performance determinants.
* Development of a junction decision domain model incorporating road width, segment angle, and data accuracy.
* Integration of the junction model into a hidden Markov model (HMM) based map-matching algorithm.

Main Results:

* The proposed junction decision domain model effectively addresses junction-matching complexities.
* The improved HMM-based map-matching algorithm demonstrated a reduced error rate in junction identification.
* Enhanced map-matching performance was observed in navigation systems utilizing the improved algorithm.

Conclusions:

* The junction decision domain model is a significant advancement for improving map-matching accuracy.
* The enhanced HMM algorithm offers a more robust solution for vehicle navigation in complex environments.
* This research contributes to the development of more reliable and precise vehicle navigation technologies.