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相关概念视频

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Multiple Bar Graph01:07

Multiple Bar Graph

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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Group Design02:01

Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
pV-Diagrams01:18

pV-Diagrams

4.1K
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...
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相关实验视频

Updated: Jun 26, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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减轻重点,聚合和隐藏:对网络可视化中的群体结构的交互视觉转换的研究.

Michael Aichem, Karsten Klein, Stephen Kobourov

    IEEE transactions on visualization and computer graphics
    |May 9, 2024
    PubMed
    概括

    交互式网络可视化通过减少杂乱来提高分析师的性能. 基于组的视觉转换提高了特定组任务的准确性和效率,帮助复杂的数据分析.

    科学领域:

    • 计算机科学 计算机科学
    • 人与计算机的交互
    • 数据可视化 数据可视化

    背景情况:

    • 分析大型,复杂的网络对分析师来说是一项挑战.
    • 交互式可视化可以帮助管理视觉混乱.
    • 现有的交互式方法可能对一般应用来说过于具体.

    研究的目的:

    • 为交互式网络分析识别和研究低级别的视觉转换.
    • 了解基于群体的视觉转换对用户性能的影响.
    • 促进开发新的交互式可视化方法.

    主要方法:

    • 对300名参与者进行了在线实验.
    • 使用了五种基于组的视觉转换:去重视 (不透明,位置,大小),聚合和隐藏.
    • 评估了五项任务的绩效,包括一个控制条件.

    主要成果:

    • 在特定小组任务中大量使用视觉转换.
    • 对特定小组任务的准确性,完成时间和心理努力产生积极影响.
    • 混合的结果和较低的使用对于与组直接无关的任务.

    结论:

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    • 基于小组的视觉转换是有效的提高网络分析任务的性能,以小组为重点.
    • 这些转变为开发更通用的交互式可视化工具提供了基础.
    • 进一步的研究可以探索这些方法在各种网络分析场景中的应用.