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

Stability of structures

Stability of structures

In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...

BIBO stability of continuous and discrete -time systems

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.

Pole and System Stability

Pole and System Stability

The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's response.

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Static, Stagnation, Dynamic and Total Pressure

Static, Stagnation, Dynamic and Total Pressure

The concept of static, stagnation, dynamic, and total pressure is fundamental in fluid dynamics, often explained using Bernoulli's equation:

Steady, Laminar Flow Between Parallel Plates

Steady, Laminar Flow Between Parallel Plates

Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.

You might also read

Related Articles

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

Sort by

Same author

Establishment of a disease model for Mycoplasma Ovipneumoniae infectioninfection in Hu sheep and its lung transcriptomic analysis.

Veterinary immunology and immunopathology·2026

Same author

Construction of a DNA Methylation Map of Argali Hybrid Sheep During Mo Infection.

Microorganisms·2026

Same author

DIA-based quantitative proteomics reveals the mechanism of foliar spraying glycine betaine and zinc in improving the quality of dry-cultivated rice.

Plant physiology and biochemistry : PPB·2026

Same author

Mycoplasma ovipneumoniae infection inhibits scavenger receptor A-mediated phagocytosis of Pasteurella multocida in alveolar macrophages.

Molecular biology reports·2025

Same author

Research on Space-Based Gravitational Wave Signal Denoising Based on Improved VMD with Parrot Algorithm.

Sensors (Basel, Switzerland)·2025

Same author

Research progress on new physical therapies for cancer (Review).

Oncology letters·2025

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

An Efficient and Stable Registration Framework for Large Point Clouds at Two Different Moments.

Guangxin Zhao¹, Jinlong Li², Jingyi Xi²

¹School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Sensors (Basel, Switzerland)

|November 27, 2024

Summary

This summary is machine-generated.

This study presents a new framework for efficient and accurate large-scale point cloud registration. The method improves stability and performance for real-world applications, outperforming existing techniques.

Keywords:

cloud point large scale random sampling registration train components

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Jun 21, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Computer Vision
Geospatial Analysis

Background:

Large-scale point cloud registration is crucial for many applications.
Existing methods often struggle with efficiency, accuracy, and stability for data from different time instances.

Purpose of the Study:

To propose an effective registration framework for large-scale point clouds captured at different moments.
To address the limitations of low efficiency, accuracy, and stability in current registration techniques.

Main Methods:

A novel framework combining random sampling with a random expansion strategy.
Utilizes a deep learning network for keypoint and feature descriptor extraction.
Integrates RANSAC and point-to-point Iterative Closest Point (ICP) methods for robust registration.

Main Results:

Achieved significantly higher accuracy and efficiency compared to other methods.
Demonstrated superior stability in registration tasks.
Validated on large-scale point clouds of critical train components.

Conclusions:

The proposed framework is effective for large-scale point cloud registration at different moments.
The method offers a practical solution for real-world applications requiring precise point cloud alignment.
The framework shows potential for broad applicability in various geospatial and computer vision domains.