Abstract: A system and method for risk prediction and corrective action for a contact type activity is provided. The method includes generating a personalized full body musculoskeletal model to depict the knee and ankle joint behavior of a subject during the contact type activity. Various contact type activities are simulated using the personalized full body musculoskeletal model. Injury biomarkers and their parameters based on the contact type activities are identified, parameters are indicative of risk of injury to participating muscle groups said activity. Based on the injury biomarkers, optimal muscle co-activation parameters are analyzed by a neuro-muscular controller, to adapt the participating muscle groups for providing the correction action against the predicted risk of injury. Said optimal muscle co-activation parameters are indicative of muscle synergy during the contact type activity.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.

Abstract: A method of automatically identifying a network of geometries is performed on a data processing system. The method includes receiving one or more geometries having all or part of a network of geometries; recognizing adjacent tangencies to automatically identify another geometry in the network, or to determine that each geometry is connected to its neighbor through adjacent tangencies; repeating the recognition step until all geometries forming the network of geometries have been determined; and labelling the identified network as a slotdog.

Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object by interaction of a user with a feature-based CAD system, the 3D modeled object representing a mechanical structure. The method comprises creating structural member features, each structural member feature representing a respective structural member of the mechanical structure, and displaying to the user a graphical representation of the mechanical structure based on the structural member features. The method further comprises creating corner features, each corner feature representing a respective corner of the mechanical structure, the creation of the corner features being performed automatically by the system, the corner features being editable by the user. This provides improved ergonomics for structural design.

Abstract: Methods for accurately modeling blends in a solid model and corresponding systems and computer-readable mediums. A method includes receiving a solid model including a plurality of faces and bosses, and identifying a pocket from the plurality of faces, including one or more pocket edges to be blended. The method includes performing an analyze pockets process on the pocket and identifying at least one of a tool type, a tool method, or a tool dimension for machining the pocket. The method includes performing a blend pocket process to model blends on the pocket edges and adding blends to the solid model at the pocket edges in a predefined order, according to the blend pocket analysis, to produce a modified solid model. The method includes displaying the modified solid model by the data processing system.

Abstract: A method for modeling a refurbishing geometry of a component comprises removing a portion to be refurbished from the component, thereby obtaining a truncated component, with a cut surface and a boundary line of the cut surface. Image data of the truncated component are obtained and a representation of the image data is imported into a CAD system. A CAD model of the component, for instance in an unused and nominal new condition, is provided and aligning with the imported representation of the truncated component. Points are defined on the surface of the CAD model and arranged on rows. For each row, a point on the representation of the boundary line of the cut surface closest to the row is determined, and the points in each row are displaced in a translational displacement until the row intersects the representation of the boundary line, thereby obtaining a morphed CAD model representative of the refurbishing geometry of the component.

Abstract: An information processing apparatus includes a memory; and a processor coupled to the memory and configured to generate a performance model for calculating a performance value of an application program from a power restriction for each set of parameters of the application program, based on data acquired when a computing apparatus executes the application program for each set of parameters of the application program under each of a plurality of power restrictions; calculate, for each set of parameters of the application program, the performance value of the application program from a first power restriction different from any of the plurality of power restrictions, based on the performance model generated for each set of parameters of the application program; and output a set of parameters of the application program corresponding to a highest performance value of the calculated performance values.

Abstract: A composite time series forecasting model comprising a neural network sub-model and one or more state space sub-models corresponding to individual time series is trained. During training, output of the neural network sub-model is used to determine parameters of the state space sub-models, and a loss function is computed using the values of the time series and probabilistic values generated as output by the state space sub-models. A trained version of the composite model is stored.

Abstract: In an example, a method includes analysing, using at least one processor, object model data representing at least a portion of an object to be generated by an additive manufacturing apparatus by fusing a build material to determine at least one predicted object generation temperature. The method may further include identifying, using at least one processor and from said analysing, a feature of the at least a portion of the object associated with a predicted object generation temperature which is below a fusing temperature of build material to be used in object generation. The method may further include determining, using at least one processor, modification data to be used in object generation, the modification data being to increase a temperature of the feature in object generation.

Abstract: A method of generating a layout data file for a metasurface device is disclosed. At a radial position of a metasurface device, the method determines a primitive cell of a first level having a metasurface feature pattern that is repeated around an arc corresponding to a circumference at the radial position. The method generates metasurface structures of higher levels. Each metasurface structure of a higher level includes multiple references to a structure or a primitive cell of a next lower level. The method stores at least a portion of a layout of the metasurface device to a layout data file. The layout includes references to metasurface structures of two or more of the higher levels.

Abstract: A large-scale capital project simulator has a project modeler configured to model the project as a virtual model having cable trays directing cables across the large-scale capital project. The simulator also has a cable router to lay out cables across the virtual model of the large-scale capital project. Each cable has a laid-out cable length. The simulator also has a routing manager to determine optimized routes of the cables across the virtual model. In this case, each cable has an optimized cable length along at least one of the optimized routes. The routing manager formulates an effectiveness ratio for each cable, where each effectiveness ratio uses the laid-out cable length and the optimized cable length. A filter determines whether any of the effectiveness ratios exceeds a prescribed deviation amount. A model controller transforms the virtual model to identify cable(s) exceeding the prescribed deviation amount.

Abstract: A computer-implemented method designs and manufactures a supporting structure for the packaging of a solid object. The supporting structure comprises a plurality of linear support elements that sustain the solid object inside a packaging container. The method includes: a) providing, as an input, a three-dimensional model of the solid object; b) computing a first cumulative linear mass density distribution of the solid object according to a first axis (x); and c) using said first cumulative linear mass density distribution to determine the positions, along said first axis, of linear support elements oriented transversally to said first axis. The resultant positions enable even distribution of the weight of the solid object among the linear support elements. A computer program product, computer-readable data-storage medium, and CAD system carry out such a method.