GENERATING A 2D DRAWING REPRESENTING A MECHANICAL PART

    公开(公告)号:US20190096120A1

    公开(公告)日:2019-03-28

    申请号:US16143063

    申请日:2018-09-26

    Inventor: Rorato REMY

    Abstract: The invention notably relates to a computer-implemented method for generating a 2D drawing representing a mechanical part. The method comprises providing a 3D modeled object which represents a 3D shape of the mechanical part. The method also comprises determining continuous 3D curves which each represent a respective instance of a predetermined set of visual characteristics of reflection lines defined on the 3D shape. The method also comprises projecting the determined continuous 3D curves on a 2D plane. The method provides an improved solution to generate a 2D drawing representing a mechanical part.

    Computer method and apparatus for automated scheduling

    公开(公告)号:US10241654B2

    公开(公告)日:2019-03-26

    申请号:US14137473

    申请日:2013-12-20

    Abstract: A computer based scheduling and rescheduling method, apparatus and system for an electronic calendar. The electronic calendar illustrates a time progression of scheduled tasks in a horizontally or vertically oriented view of time. The electronic calendar and its graphical user interface (GUI) provide a viewing pattern for the user. Direction in the viewing pattern is synonymous with increasing/decreasing dates-times in the time progression of scheduled tasks. A scheduling-rescheduling engine schedules into the calendar user requested tasks and automatically reschedules impacted previously scheduled tasks. The scheduling-rescheduling engine also schedules user selected resources (e.g., people, robots, tools, etc.) per scheduled task.

    Computer-Implemented Method Of Displaying A Subset Of A Digitally Modeled Assembly Of Objects

    公开(公告)号:US20190088031A1

    公开(公告)日:2019-03-21

    申请号:US16122220

    申请日:2018-09-05

    Inventor: Pierre Coulet

    Abstract: A computer-implemented method of displaying a subset of a digitally modeled assembly (A) of objects (O1, O2, O3), the method comprising the steps of: a) generating and displaying a three-dimensional graphical representation of the assembly in a three-dimensional scene (3DSC); b) using a graphical tool (PT) for selecting one or more objects of said assembly from said three-dimensional graphical representation; c) determining a central point (CP) of the selected object or objects, and computing a distance of each object of the assembly from said central point; and d) modifying the displayed three-dimensional graphical representation of the assembly by hiding objects whose distance from the central point exceeds a threshold, or reducing their visibility. A computer program product, a non-transitory computer-readable data-storage medium and a Computer Aided Design system for carrying out such a method.

    Task Assisted Resources Assignment Based On Schedule Impact

    公开(公告)号:US20190050786A1

    公开(公告)日:2019-02-14

    申请号:US15673787

    申请日:2017-08-10

    Abstract: Embodiments of the present invention are direct to computer methods and systems that optimally assign resources for facilitating the execution of tasks. The methods and systems filter available resources for executing a task based on at least one criterion, to produce a set of selected resources. The methods and systems, for each of the selected resources, calculate an impact value associated with assigning the respective selected resource to execute the task. The methods and systems rank the selected resources according to the calculated impact values and generate an optimized schedule for the task based on the ranking of the selected resources. The methods and systems may further program a computer application or cause operation of a device in accordance with the generated optimized schedule for executing the task.

    DATASET FOR LEARNING A FUNCTION TAKING IMAGES AS INPUTS

    公开(公告)号:US20180365565A1

    公开(公告)日:2018-12-20

    申请号:US16011359

    申请日:2018-06-18

    Abstract: The disclosure notably relates to a computer-implemented method for forming a dataset. The dataset is configured for learning a function. The function takes as inputs images of instances of one or more classes of real objects. The method comprises, for each class, providing a parametric model of the class, generating a plurality of 3D modeled objects with the parametric model, and adding to the dataset, for each one of the plurality of 3D modeled objects, one or more corresponding images. The generating includes traversing one or more of the set of ranges. The method constitutes an improved solution for forming a dataset configured for learning a function.

    ADDING CONSTRAINTS BETWEEN COMPONENTS OF A COMPUTER-AIDED DESIGN (CAD) MODEL

    公开(公告)号:US20180365343A1

    公开(公告)日:2018-12-20

    申请号:US15810660

    申请日:2017-11-13

    Abstract: The disclosed methods and systems allow adding constraints (“mates”) between components of the CAD model when in a graphics mode (i.e., when bodies of the CAD model are not loaded). Information regarding CAD model entities is accessed from a computer database, where the CAD model entities belong to one or more components of the subject CAD model. A graphical representation of the subject CAD model is presented to a user without loading bodies of the subject CAD model. The user is enabled to add a constraint between first and second entities of the subject CAD model, and information for the added constraint is stored with the subject CAD model in the computer database. Displaying the model in graphics mode saves time as well as memory usage, and the added constraints persistent after resolving the components from the graphics mode.

    LEARNING AN AUTOENCODER
    438.
    发明申请

    公开(公告)号:US20180314917A1

    公开(公告)日:2018-11-01

    申请号:US15965123

    申请日:2018-04-27

    CPC classification number: G06F17/50 G06K9/00 G06N3/0454 G06N3/08

    Abstract: A computer-implemented method for learning an autoencoder notably is provided. The method comprises providing a dataset of images. Each image includes a respective object representation. The method also comprises learning the autoencoder based on the dataset. The learning includes minimization of a reconstruction loss. The reconstruction loss includes a term that penalizes a distance for each respective image. The penalized distance is between the result of applying the autoencoder to the respective image and the set of results of applying at least part of a group of transformations to the object representation of the respective image. Such a method provides an improved solution to learn an autoencoder.

    3D object localization with descriptor

    公开(公告)号:US10062217B2

    公开(公告)日:2018-08-28

    申请号:US15389572

    申请日:2016-12-23

    Inventor: Jonathan Cloux

    Abstract: The invention notably relates to a computer-implemented method for localizing a 3D modeled object in a 3D scene, the method comprising a positioning of the 3D modeled object in the 3D scene, the positioning being performed following an algorithm that rewards, for each of first couples made of two 3D points of the 3D modeled object and their respective associated normal vectors, a match with a respective second couple made of two 3D point of the 3D scene and its respective associated normal vectors, the match between the first couple and the second couple amounting to a substantial equality between the value of a descriptor for the first couple and the value of the descriptor for the second couple, the descriptor being variable under mirror symmetries. This improves the localizing a 3D modeled object in a 3D scene.

    Effectively solving structural dynamics problems with modal damping in physical coordinates

    公开(公告)号:US10061878B2

    公开(公告)日:2018-08-28

    申请号:US14978629

    申请日:2015-12-22

    CPC classification number: G06F17/5018 G06F17/11 G06F2217/16

    Abstract: Embodiments provide methods and systems for modeling mechanical features of a structural dynamic system. A method according to an embodiment provides, in computer memory, a finite element model representing a structural dynamic system. Next, in a processor coupled to the computer memory, a system of equations with a first term representing a linear combination of a mass, a stiffness, and a damping of the finite element model and a second term representing modal damping is solved. According to such an embodiment, the system of equations is solved using the Sherman-Morrison-Woodbury formula or a preconditioned iterative method. In turn, an improved 3D model of a real world object based on the finite element model is formed utilizing results of the solved system of equations with the finite element model and modal damping to model mechanical features of the represented structural dynamic system.

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