Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.5K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.3K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

178
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
178
Electric Field Lines01:25

Electric Field Lines

7.7K
The three-dimensional representation of the electric field of a positive point charge requires tracing the electric field vectors, whose lengths decrease as the square of their distance from the charge and which point away from the charge at each point. This vector field is no doubt challenging to visualize. The visualization of electric fields becomes quickly intractable as the number of charges increases.
The solution to this problem is to use electric field lines, which are not vectors but...
7.7K
pV-Diagrams01:18

pV-Diagrams

4.2K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.2K
Equipotential Surfaces and Field Lines01:29

Equipotential Surfaces and Field Lines

3.8K
Electric potential can be pictorially represented as a three-dimensional surface. On such a surface, the electric potential is constant everywhere. The equipotential surface is always perpendicular to the electric field lines, and while it is three-dimensional, it can be treated as an equipotential line in a two-dimensional case. These equipotential lines are also always perpendicular to electric field lines. The term equipotential is often used as a noun, referring to an equipotential line or...
3.8K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning.

Scientific reports·2025
Same author

Development of Plant-Based Larvicide and Herbal Mosquito Repellent Fast Card with Reference to Identification of the Functional Bioactive Compounds Effective Against Culex Mosquito.

Applied biochemistry and biotechnology·2022
Same author

Oral health surveillance in Australia: the need for ongoing data to inform public health decision-making.

Australian journal of primary health·2021
Same author

A Topological Similarity Measure Between Multi-Resolution Reeb Spaces.

IEEE transactions on visualization and computer graphics·2021
Same author

Natural history of dental caries: Baseline characteristics of the VicGen birth cohort study.

International journal of paediatric dentistry·2019
Same author

Serum selenium and pancreatic cancer: a prospective study in the Prostate, Lung, Colorectal and Ovarian Cancer Trial cohort.

Cancer causes & control : CCC·2019

相关实验视频

Updated: Jul 16, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K

基于多维持久图的多维场之间的拓距离.

Yashwanth Ramamurthi, Amit Chattopadhyay

    IEEE transactions on visualization and computer graphics
    |September 13, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的方法,用于测量多场之间的距离,使用从Reeb空间衍生的多维持久性图. 这种方法增强了形状分析和化学键检测.

    更多相关视频

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.3K
    Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
    11:52

    Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

    Published on: February 9, 2017

    6.0K

    相关实验视频

    Last Updated: Jul 16, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.6K
    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.3K
    Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
    11:52

    Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

    Published on: February 9, 2017

    6.0K

    科学领域:

    • 计算拓学的计算拓.
    • 数据分析数据分析
    • 科学可视化科学可视化

    背景情况:

    • 使用Reeb图形/轮树进行拓距离计算,用于标量场.
    • 使用Reeb空间对多字段的距离测量进行泛化仍然是一个挑战.

    研究的目的:

    • 提出一种用于计算多领域间距离测量的新技术.
    • 为此目的,引入来自Reeb空间的多维持久性图 (MDPD).

    主要方法:

    • 构建一个多维Reeb图 (MDRG) 作为Reeb空间的层次分解.
    • 从MDRG中的组件Reeb图的持久性图表中计算MDPD.
    • 将瓦瑟斯坦距离扩展到MDRG的MDPD,证明它是一个具有稳定的伪度量.

    主要成果:

    • 与基于Reeb图表的测量方法相比,拟议的距离测量方法显示出更大的区分能力.
    • 在形状检索数据 (SHREC 2010) 和计算化学数据 (Pt-CO 键检测) 上验证的有效性.

    结论:

    • 基于Reeb空间的新型距离测量提供了对形状聚类和化学键分析的改进功能.
    • 这项工作推进了对复杂的多领域数据集的拓数据分析领域.