Jove
Visualize
联系我们

相关概念视频

Mechanical Systems01:22

Mechanical Systems

551
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
551
Mason's Rule01:20

Mason's Rule

984
Mason's rule is a powerful tool in control systems and signal processing. It simplifies the calculation of transfer functions from signal-flow graphs. This method leverages various elements, including loop gains, forward-path gains, and non-touching loops, to determine the transfer function efficiently.
Loop gain is determined by identifying and tracing a path from a node back to itself. This involves computing the product of branch gains along the loop. Each loop's gain is crucial for further...
984
Control Volume and System Representations01:16

Control Volume and System Representations

1.5K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.5K
Thermodynamic Systems01:06

Thermodynamic Systems

7.4K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The...
7.4K
Conservation of Energy: Application01:12

Conservation of Energy: Application

8.0K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
8.0K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

777
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
777

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

A physics-informed alternative to Richardson-Lucy deconvolution across SNR regimes without iteration cutoffs.

Nature communications·2026
Same author

Mitochondria directly interact with the nuclear pore complex.

Nature·2026
Same author

Stochastic colonization and host-to-host transmission shape gut bacterial variability.

bioRxiv : the preprint server for biology·2026
Same author

Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Substrate-interacting pore loops of two ATPase subunits determine the degradation efficiency of the 26S proteasome.

Nature communications·2026
Same author

Single-Photon Single-Particle Tracking.

bioRxiv : the preprint server for biology·2025
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

相关实验视频

Updated: Jan 9, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.3K

一个谨慎的用户指南,用于将HMM应用于物理系统.

M Schweiger1,2, A Saurabh1,2, S Pressé1,2,3

  • 1Department of Physics, Arizona State University, Tempe, Arizona 85281, USA.

The Journal of chemical physics
|December 2, 2025
PubMed
概括

应用到连续物理系统的隐藏马尔科夫模型 (HMM) 可能会产生误导性的结果. 推断的状态往往反映了测量选择,而不是系统.

科学领域:

  • 物理 物理学 物理
  • 复杂的系统复杂的系统.
  • 数据分析 数据分析

背景情况:

  • 连续的物理系统在空间和时间中进化.
  • 隐藏的马尔科夫模型 (HMM) 被广泛用于时间序列分析.
  • HMM最初是为离散的时间和空间而开发的.

研究的目的:

  • 研究将离散HMM应用于连续系统的含义.
  • 确定HMM为物理数据提供可解释结果的条件.
  • 检查测量协议对HMM推理的影响.

主要方法:

  • 使用Langevin动态在有效潜力中生成合成数据.
  • 用标准HMM分析时间序列数据.
  • 探索数据采集方案的变化.

主要成果:

  • 离散状态HMM充当抽象,推断状态反映模型选择.
  • 测量协议可以显著影响和"调整"恢复的HMM状态.
  • 误导性中间状态可以被复制性地恢复,即使对于简单的潜能.

结论:

更多相关视频

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.9K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.9K

相关实验视频

Last Updated: Jan 9, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.3K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.9K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.9K
  • 物理建模中的HMM需要意识到由于离散近似而存在的局限性.
  • 对连续的空间和时间的概括很重要.
  • 准确的测量噪声建模对于可靠的HMM应用至关重要.