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Related Concept Videos

Transformers01:26

Transformers

1.1K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

176
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
176
Transformers in Distribution System01:27

Transformers in Distribution System

123
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
123
Types Of Transformers01:16

Types Of Transformers

1.0K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
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The Ideal Transformer01:26

The Ideal Transformer

423
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
423
Modeling and Similitude01:12

Modeling and Similitude

288
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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H4MER: Human 4D Modeling by Learning Neural Compositional Representation With Transformer.

Boyan Jiang, Yinda Zhang, Jingyang Huo

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    Summary
    This summary is machine-generated.

    This study introduces Human 4D Modeling with transformER (H4MER), a novel neural representation for dynamic 3D human modeling. H4MER effectively captures detailed geometry and accurate motion for 4D human data.

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    Area of Science:

    • Computer Vision
    • Machine Learning
    • 3D Human Modeling

    Background:

    • Deep learning has advanced 3D reconstruction, but modeling dynamic 4D human captures with intricate geometry remains underexplored.
    • Existing methods often struggle with representing the full complexity of human motion and shape over time.

    Purpose of the Study:

    • To introduce a novel neural compositional representation, Human 4D Modeling with transformER (H4MER), for dynamic 3D human modeling.
    • To develop a method capable of representing dynamic human bodies with detailed geometry and accurate motion over time.

    Main Methods:

    • H4MER utilizes a compact, compositional representation by leveraging the SMPL parametric model for human body priors.
    • A linear motion model provides initial pose estimation, with auxiliary codes handling per-frame pose and geometry refinement.
    • A Transformer-based feature extractor and a conditional GRU decoder are employed for enhanced learning and representation.

    Main Results:

    • H4MER successfully recovers dynamic humans with precise motion and detailed geometry.
    • The method demonstrates effectiveness in various 4D human-related tasks, including monocular video fitting and motion retargeting.
    • Experiments confirm the robustness and versatility of the H4MER representation.

    Conclusions:

    • H4MER offers a powerful and flexible approach to 4D human modeling, advancing the field of dynamic human capture.
    • The proposed representation is suitable for a range of downstream applications in computer vision and graphics.
    • This work paves the way for more sophisticated and accurate modeling of human dynamics.