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

Flame Photometry: Overview01:02

Flame Photometry: Overview

1.3K
Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
1.3K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

36.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
36.0K
Methods of Classification and Identification01:28

Methods of Classification and Identification

819
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
819
Flame Photometry: Lab01:16

Flame Photometry: Lab

734
In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
734
Reduced Mass Coordinates: Isolated Two-body Problem01:12

Reduced Mass Coordinates: Isolated Two-body Problem

2.2K
In classical mechanics, the two-body problem is one of the fundamental problems describing the motion of two interacting bodies under gravity or any other central force. When considering the motion of two bodies, one of the most important concepts is the reduced mass coordinates, a quantity that allows the two-body problem to be solved like a single-body problem. In these circumstances, it is assumed that a single body with reduced mass revolves around another body fixed in a position with an...
2.2K
Nominal Level of Measurement00:56

Nominal Level of Measurement

36.3K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
36.3K

You might also read

Related Articles

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

Sort by
Same author

EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration.

Science robotics·2024
Same author

A Return to the Sextant-Maritime Navigation Using Celestial Bodies and the Horizon.

Sensors (Basel, Switzerland)·2023
Same author

High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers.

Sensors (Basel, Switzerland)·2021
Same author

Bijective Mapping Analysis to Extend the Theory of Functional Connections to Non-Rectangular 2-Dimensional Domains.

Mathematics (Basel, Switzerland)·2020
Same author

Selected Applications of the Theory of Connections: A Technique for Analytical Constraint Embedding.

Mathematics (Basel, Switzerland)·2020
Same author

The Multivariate Theory of Connections.

Mathematics (Basel, Switzerland)·2020
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

Related Experiment Video

Updated: Dec 21, 2025

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
08:16

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Published on: June 6, 2019

8.6K

Non-Dimensional Star-Identification.

Carl Leake1, David Arnas2, Daniele Mortari1

  • 1Aerospace Engineering, Texas A&M University, College Station, TX 77843, USA.

Sensors (Basel, Switzerland)
|May 14, 2020
PubMed
Summary
This summary is machine-generated.

A new Non-Dimensional star identification algorithm enhances star tracker accuracy, even with imprecise focal length and optical axis data. This method improves upon existing lost-in-space algorithms for reliable space navigation.

Keywords:
Pyramidn-dimensional k-vectornon-dimensionalstar identification

More Related Videos

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.9K
A Pipeline to Investigate the Structures and Signaling Pathways of Sphingosine 1-Phosphate Receptors
12:27

A Pipeline to Investigate the Structures and Signaling Pathways of Sphingosine 1-Phosphate Receptors

Published on: June 8, 2022

3.8K

Related Experiment Videos

Last Updated: Dec 21, 2025

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
08:16

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Published on: June 6, 2019

8.6K
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.9K
A Pipeline to Investigate the Structures and Signaling Pathways of Sphingosine 1-Phosphate Receptors
12:27

A Pipeline to Investigate the Structures and Signaling Pathways of Sphingosine 1-Phosphate Receptors

Published on: June 8, 2022

3.8K

Area of Science:

  • Spacecraft Navigation
  • Attitude Determination and Control Systems (ADCS)

Background:

  • Star trackers are crucial for spacecraft attitude determination.
  • Inaccurate focal length or optical axis offset can lead to star identification errors.
  • Launch vibrations and thermal variations can cause these parameter deviations.

Purpose of the Study:

  • Introduce a novel Non-Dimensional star identification algorithm.
  • Improve star identification reliability for wide field-of-view star trackers.
  • Address limitations of nominal lost-in-space algorithms under parameter uncertainty.

Main Methods:

  • Developed a Non-Dimensional algorithm for star identification.
  • Compared algorithm performance against the Pyramid algorithm.
  • Evaluated accuracy, speed, and robustness.

Main Results:

  • The Non-Dimensional algorithm demonstrates reliable star identification with poor accuracy in focal length and optical axis offset.
  • Performance comparisons show advantages over the Pyramid algorithm in specific scenarios.
  • A combined approach of Non-Dimensional and Pyramid algorithms offers significant benefits.

Conclusions:

  • The Non-Dimensional algorithm is a robust solution for star trackers facing parameter uncertainties.
  • It effectively complements existing lost-in-space algorithms.
  • Combined methodologies enhance overall star identification system performance and reliability.