Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Inertial Frames of Reference01:03

Inertial Frames of Reference

8.6K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
8.6K
Non-inertial Frames of Reference01:27

Non-inertial Frames of Reference

7.1K
A reference frame accelerating or decelerating relative to an inertial frame is a non-inertial frame. To help understand this, consider what taking off in an airplane, turning a corner in a car, riding a merry-go-round, and the circular motion of a tropical cyclone all have in common. All these systems are accelerating, decelerating, or rotating relative to the Earth; hence, they all are non-inertial frames. All these systems exhibit inertial forces, which merely seem to arise from motion,...
7.1K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

872
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
872
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

693
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
693
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

745
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
745
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

1.1K
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
1.1K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Visibility Optimization for Direct and Indirect Volume Rendering Using Level Set Propagation.

IEEE transactions on visualization and computer graphics·2026
Same author

Exploring 3D Unsteady Flow using 6D Observer Space Interactions.

IEEE transactions on visualization and computer graphics·2025
Same author

Nanouniverse: Virtual Instancing of Structural Detail and Adaptive Shell Mapping.

IEEE transactions on visualization and computer graphics·2025
Same author

Unified Smooth Vector Graphics: Modeling Gradient Meshes and Curve-Based Approaches Jointly as Poisson Problem.

IEEE transactions on visualization and computer graphics·2025
Same author

Objective Lagrangian Vortex Cores and their Visual Representations.

IEEE transactions on visualization and computer graphics·2024
Same author

Trajectory Vorticity - Computation and Visualization of Rotational Trajectory Behavior in an Objective Way.

IEEE transactions on visualization and computer graphics·2024
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
関連記事をすべて見る

関連する実験動画

Updated: Jan 14, 2026

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.5K

移動最小二乗法を用いた局所適応参照フレーム場

Julio Rey Ramirez, Peter Rautek, Tobias Gunther

    IEEE transactions on visualization and computer graphics
    |January 12, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    この研究は、流体流れ解析における最適な参照フレームを見つけるための新しい方法を導入する。既存の固定またはコストのかかるグローバル最適化手法を改善するために、流れの特徴に局所的に適応する。

    キーワード:
    流体流れ解析参照フレーム移動最小二乗法ガイドフィールドFTLE流体力学流れの可視化ベクトル場解析

    さらに関連する動画

    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
    11:57

    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

    Published on: December 1, 2016

    11.1K
    Movement Retraining using Real-time Feedback of Performance
    08:16

    Movement Retraining using Real-time Feedback of Performance

    Published on: January 17, 2013

    13.7K

    関連する実験動画

    Last Updated: Jan 14, 2026

    In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
    07:43

    In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

    Published on: July 2, 2021

    3.5K
    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
    11:57

    Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

    Published on: December 1, 2016

    11.1K
    Movement Retraining using Real-time Feedback of Performance
    08:16

    Movement Retraining using Real-time Feedback of Performance

    Published on: January 17, 2013

    13.7K

    科学分野:

    • 流体力学
    • 流れの可視化
    • ベクトル場解析

    背景:

    • 流体流れの特徴の解析は、流体力学において重要である。
    • 最適な参照フレームを計算するための現在の方法は、局所的に限定的であるか、グローバルにコストがかかる。
    • 既存の技術は、流れの特徴の全体像を効果的に捉えられない可能性がある。

    研究 の 目的:

    • 流れ場に局所的に適応する最適な参照フレームを計算するための新しい客観的な方法を開発する。
    • 既存の方法における固定近傍およびコストのかかるグローバル最適化の限界を克服する。
    • 事前近傍選択なしで参照フレームの適応計算を可能にする。

    主な方法:

    • 問題を移動最小二乗法近似として定式化する。
    • 参照フレームの連続場を決定する。
    • 移動最小二乗法近似に流れの特徴を組み込むためのスカラーガイドフィールドを導入する。
    • ガイドフィールドを使用して、入力ベクトルフィールドサンプリングのための曲線多様体を定義する。

    主要な成果:

    • 提案手法は、流れに局所的に適応する参照フレームの連続場を生成する。
    • 有限時間リアプノフ指数(FTLE)場をガイドとして使用することで、既存の研究と比較して局所的な流れの特徴への適応が改善される。
    • 移動最小二乗法フレームワークは一般的であり、将来的に他のガイドフィールドを使用できる可能性がある。

    結論:

    • 新しい方法は、流体流れ解析のための最適な参照フレームを計算するための適応的かつ効率的なアプローチを提供する。
    • ガイドフィールド、特にFTLEの使用は、局所的な流れのダイナミクスを捉える能力を強化する。
    • 一般化されたフレームワークは、多様な流体特徴への適応における将来の進歩の可能性を提供する。