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

Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first column of the Routh...
Principle of Equivalence01:18

Principle of Equivalence

According to Albert Einstein (1897-1955), free-falling and feeling weightless are intrinsically linked. If a person were in free-fall under gravity, for example, diving towards the Earth from an airplane, they would feel completely weightless. Similarly, a person descending in a lift may feel partially weightless. Broadly speaking, it is assumed that an object in a uniform gravitational field and an object undergoing constant acceleration in the absence of gravity are under the same...
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

You might also read

Related Articles

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

Sort by
Same author

A mixture-of-experts framework for adaptive Kalman filtering.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·1997
Same author

Omeprazole versus placebo in duodenal ulcer healing. The United States experience.

Digestive diseases and sciences·1990
Same author

Regulatory characteristics of a fructose bisphosphatase from the blue-green bacterium Anacystis nidulans.

Archives of biochemistry and biophysics·1979
Same author

Mucormycosis.

The American journal of the medical sciences·1961
Same author

A physiologic treatment of heat stroke.

The American journal of the medical sciences·1961
Same author

SOCIOLOGICAL ASPECTS OF RECENT REORGANIZATIONS OF HEALTH DEPARTMENTS, CLEVELAND, OHIO.

American journal of public health (New York, N.Y. : 1912)·1914

Related Experiment Video

Updated: Jul 7, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Derivation and analytic evaluation of an equivalence relation clustering algorithm.

N Nabaa1, R H Bishop

  • 1Nevada Corp., Sparks, NV.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 7, 2008
PubMed
Summary

This study introduces an equivalence relation (ER) clustering algorithm for multitarget multisensor tracking (MMT). ER clustering offers an analytical method to evaluate performance based on target distance and measurement density.

Related Experiment Videos

Last Updated: Jul 7, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Area of Science:

  • Signal Processing
  • Data Analysis
  • Machine Learning

Background:

  • Multitarget multisensor tracking (MMT) faces challenges with data association.
  • Clustering algorithms can simplify MMT data association problems.

Purpose of the Study:

  • To derive and analyze an equivalence relation (ER) clustering algorithm for MMT.
  • To evaluate ER clustering performance analytically in MMT.

Main Methods:

  • Derivation of an equivalence relation (ER) clustering algorithm.
  • Analytical evaluation of ER clustering performance.
  • Comparison with nearest neighbor clustering methods.

Main Results:

  • The study provides an analytical framework for ER clustering performance in MMT.
  • Performance is evaluated as a function of target separation, measurement density, and cluster parameters.

Conclusions:

  • ER clustering is a viable approach for MMT data association.
  • The analytical evaluation provides insights into optimizing ER clustering for MMT applications.