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

Projectile Motion: Example01:18

Projectile Motion: Example

The theory of projectile motion is very useful for players of several sports to improve their performance. For example, a javelin thrower needs to throw their javelin in such a way that it travels as far as possible. The javelin thrower takes a short run-up to increase the initial speed of the javelin. The range of a projectile is at its maximum at a 45° angle so javelin throwers try to angle their throw as close to 45° as possible.
When we speak of the range (R) of a projectile on level...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Distance Problem01:29

Distance Problem

When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...
Conservation of Momentum: Problem Solving01:30

Conservation of Momentum: Problem Solving

Solving problems using the conservation of momentum requires four basic steps:
Projectile Motion: Equations01:26

Projectile Motion: Equations

Projectile motion is commonly observed in our day-to-day life. For example, a basketball thrown by a player, an arrow shot from a bow, and kids jumping into the pool, all undergo projectile motion.
Any projectile motion problem can be solved by using the following strategy:
Projectile Motion01:20

Projectile Motion

An object thrown in the air follows a parabolic path under the influence of Earth's gravitational force. The motion of such an object is called projectile motion, and the object itself a projectile. The parabolic path followed by the projectile is called the trajectory. Some common examples of projectile motion are the launching of fireworks, a golf ball in the air, meteors entering the Earth's atmosphere, and the firing of bullets.
When an object falls under gravity and has no horizontal...

You might also read

Related Articles

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

Sort by
Same author

Making sense of transformer success.

Frontiers in artificial intelligence·2025
Same author

Narrative coherence in neural language models.

Frontiers in psychology·2025
Same author

Deep learning and cognitive science.

Cognition·2020
Same author

Editorial: The Cognitive Underpinnings of Anthropomorphism.

Frontiers in psychology·2019
Same author

Anti-anthropomorphism and Its Limits.

Frontiers in psychology·2018
Same author

The search of "canonical" explanations for the cerebral cortex.

History and philosophy of the life sciences·2018

Related Experiment Video

Updated: May 21, 2026

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

Estimating shot distance from limited pellets pattern.

Alessio Plebe1, Domenico Compagnini

  • 1University of Messina, Italy. aplebe@unime.it

Forensic Science International
|June 5, 2012
PubMed
Summary

This study introduces a novel method for estimating shooting range using partial pellet patterns, even when the full pellet distribution is unknown. It accurately determines shot distance in challenging forensic cases with void areas adjacent to pellet impacts.

More Related Videos

Disposable Dosators Intended for Dry Powder Delivery to Mice
04:59

Disposable Dosators Intended for Dry Powder Delivery to Mice

Published on: August 18, 2023

High-Speed Optical Diagnostics of a Supersonic Ping-Pong Cannon
05:40

High-Speed Optical Diagnostics of a Supersonic Ping-Pong Cannon

Published on: March 24, 2023

Related Experiment Videos

Last Updated: May 21, 2026

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

Disposable Dosators Intended for Dry Powder Delivery to Mice
04:59

Disposable Dosators Intended for Dry Powder Delivery to Mice

Published on: August 18, 2023

High-Speed Optical Diagnostics of a Supersonic Ping-Pong Cannon
05:40

High-Speed Optical Diagnostics of a Supersonic Ping-Pong Cannon

Published on: March 24, 2023

Area of Science:

  • Forensic Science
  • Ballistics
  • Pattern Analysis

Background:

  • Traditional shooting range estimation relies on complete pellet pattern analysis.
  • Existing methods are inaccurate when only a partial pattern is available.
  • Partial patterns occur when a victim is hit by only a portion of the shot spread.

Purpose of the Study:

  • To develop a reliable method for estimating shooting range from partial pellet patterns.
  • To address limitations of current techniques in forensic ballistics.
  • To enable accurate distance determination in cases with incomplete evidence.

Main Methods:

  • Collecting test shot distributions at various distances.
  • Sampling targets constrained by void and pellet hit areas.
  • Extracting statistical descriptors from pattern samples.
  • Utilizing a neural network classifier for range estimation.

Main Results:

  • The developed method accurately estimates shooting range with partial pellet patterns.
  • The approach is effective even with incomplete pattern data.
  • Void areas adjacent to pellet impacts aid in accurate estimation.

Conclusions:

  • This novel method significantly advances shooting range estimation in forensic investigations.
  • It provides a viable solution for cases involving partial pellet patterns.
  • The technique enhances the accuracy of ballistic analysis in challenging scenarios.