公开(公告)号：US20250139315A1

公开(公告)日：2025-05-01

申请号：US18500033

申请日：2023-11-01

Applicant: AUTODESK, INC.

Inventor： Bokyung LEE ,  Rhys GOLDSTEIN ,  Damon LAU ,  Michael LEE ,  Jeremy MOGK ,  Jacobo Bibliowicz SCHUSTER ,  Alexander TESSIER

IPC: G06F30/13 ,  G06F30/20

Abstract: In various embodiments, a building layout application generates building designs that reduce virus transmissions. The building layout application generates a first layout design set for a building based on a first design vector set and a baseline layout design. The building layout application executes, multiple times, a stochastic multi-agent virus simulator on a layout design included in the first layout design set and a simulation configuration to generate simulation results. The building layout application computes a risk score associated with both the layout design and a virus based on the simulation results. The building layout application executes evolutionary operations(s) on the first design vector set based on the risk score and at least one other risk score to generate a second design vector set. The building layout application generates a second layout design set for the building based on the second design vector set and the baseline layout design.

公开(公告)号：US20140282157A1

公开(公告)日：2014-09-18

申请号：US13802588

申请日：2013-03-13

Applicant: AUTODESK, INC.

Inventor： Michael GLUECK ,  Azam KHAN ,  Michael LEE

IPC: G06F3/0484

CPC classification number: G06F3/04855 ,  G06F3/04847 ,  G06F2203/04806

Abstract: One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.

公开(公告)号：US20140282268A1

公开(公告)日：2014-09-18

申请号：US13802527

申请日：2013-03-13

Applicant: AUTODESK, INC.

Inventor： Michael GLUECK ,  Azam KHAN ,  Michael LEE

IPC: G06F3/0481

CPC classification number: G06F3/04855 ,  G06F3/0482 ,  G06F2203/04806

Abstract: One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.

Abstract translation: 本发明的一个实施例提出了一种数据导航引擎，其生成用于导航大型和扩展数据集的用户界面导航元件。 用户界面导航元件可以包括用于调整关于不同缩放枢纽位置的数据分辨率的枢轴控制缩放滑块，用于一致的视觉反馈和数据集内的数据间隔的导航的交互式标尺，用于观看数据的邻近的上下文 到当前视图，以及用于在当前视图内重新定位数据集的多尺度滑块。 这些用户界面导航元素在导航数据集时为终端用户提供一致的控制和视觉反馈，与数据集的大小或当前视图中显示的数据集的部分无关。 因此，相对于现有技术的方法，可以更有效地导航大型和扩展的数据集。

公开(公告)号：US20170053425A1

公开(公告)日：2017-02-23

申请号：US14831853

申请日：2015-08-20

Applicant: AUTODESK, Inc.

Inventor： Michael LEE

IPC: G06T11/20 ,  G06F3/0484

CPC classification number: G06T11/206 ,  G06F3/04845

Abstract: Techniques for dynamically displaying corresponding segments of related pie charts are implemented by a UI engine, pie chart engine, and graphics framework engine that operate in conjunction to display at least two related pie charts having a plurality of corresponding segments, receive a user selection of corresponding segments that are displayed in different positions in their respective pie charts, rotate at least one of the related pie charts, and display the related pie charts so that the corresponding segments are displayed in the same position/orientation in their respective pie charts. The computing device may also visually highlight the selected corresponding segments and execute an animation graphically displaying the rotation of the at least one related pie chart.

Abstract translation: 用于动态显示相关饼图的相应片段的技术由UI引擎，饼图引擎和图形框架引擎实现，其结合操作以显示具有多个对应片段的至少两个相关饼图，接收对应的 在各自的饼图中显示在不同位置的片段，旋转至少一个相关的饼图，并显示相关的饼图，使得相应的片段在它们各自的饼图中以相同的位置/取向显示。 计算设备还可以在视觉上突出显示所选择的相应片段并执行以图形方式显示所述至少一个相关饼图的旋转的动画。

公开(公告)号：US20140282171A1

公开(公告)日：2014-09-18

申请号：US13802545

申请日：2013-03-13

Applicant: AUTODESK, INC.

Inventor： Michael GLUECK ,  Azam KHAN ,  Michael LEE

IPC: G06F3/0484

CPC classification number: G06Q10/10 ,  G06F3/04847

Abstract: One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.