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Related Concept Videos

Types Of Transformers01:16

Types Of Transformers

952
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...
952
Transformers in Distribution System01:27

Transformers in Distribution System

99
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...
99
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

142
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...
142
The Ideal Transformer01:26

The Ideal Transformer

364
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...
364
Equivalent Circuits for Practical Transformers01:28

Equivalent Circuits for Practical Transformers

401
The practical equivalent circuits of single-phase two-winding transformers exhibit significant deviations from their idealized versions due to the inherent properties of winding resistance and finite core permeability. These properties result in real and reactive power losses, affecting the transformer's performance. Understanding these deviations is crucial for designing more efficient transformers.
In a practical transformer, each winding exhibits resistance and leakage reactance. The...
401
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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Graph Transformer for Label Placement.

Jingwei Qu, Pingshun Zhang, Enyu Che

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    |September 10, 2024
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    Summary
    This summary is machine-generated.

    This study introduces a novel graph transformer for automatic label placement in graphics, improving accuracy and aesthetics. A new dataset, AMIL, supports this method for better visual explanations.

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    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Computational Geometry

    Background:

    • Automatic text label placement is crucial for explaining visual content but faces challenges with geometric and aesthetic constraints.
    • Existing rule-driven methods fail to capture complex label interactions and visual content, while learning-based methods lack sufficient training data.
    • Aesthetic label placement requires significant design expertise, limiting the creation of large-scale, high-quality datasets.

    Purpose of the Study:

    • To develop an effective method for automatic text label placement that addresses geometric and aesthetic requirements.
    • To introduce a novel graph-based representation and a transformer model for predicting optimal label positions.
    • To create a new dataset for training and evaluating label placement algorithms.

    Main Methods:

    • Formulated label placement as a node position prediction problem using a graph representation where nodes are labels and edges represent interactions.
    • Designed a Label Placement Graph Transformer (LPGT) model incorporating edge-level attention and a feature aligning strategy for integrating graphic information.
    • Collected and annotated commercial illustrations from appliance manuals to create the Appliance Manual Illustration Labels (AMIL) dataset.

    Main Results:

    • The proposed LPGT model demonstrated promising performance in label placement tasks on the newly created AMIL dataset.
    • The graph representation and transformer architecture effectively captured label interactions and integrated visual content.
    • The AMIL dataset provides a valuable resource for advancing research in automatic label placement.

    Conclusions:

    • The LPGT model offers a robust solution for automatic label placement, outperforming existing methods.
    • The novel graph-based approach and transformer architecture are effective for handling complex label interactions and visual context.
    • The development of the AMIL dataset addresses the scarcity of resources for learning-based label placement methods.