Abstract: The present disclosure belongs to the field of computational hydraulics and aims at providing a construction method and system for a hydrodynamic joint computation model, a device, and a medium.

Abstract: An experiment of processing a device is performed to acquire type 1 information and type 2 information indicating processing conditions, and type 3 information and type 4 information indicating results of the processing, derive a first relation between the type 1 information, the type 2 information, and the type 3 information, and a second relation between the type 1 information, the type 2 information, and the type 4 information, and generate and output a model that estimates the type 4 information indicating a result of the processing by using the first relation and the second relation with the type 2 information and the type 3 information that are measured during the processing as inputs.

Abstract: Reference device (1) for real-time tracking of bone and/or surgical objects in computer-assisted surgery, the device (1) comprising: A) an upper member (2) having at least one circular cylindrical hole (3) penetrating through the upper member (2) from the upper surface (5) to the lower surface (6), wherein the hole (3) defines a circular cylindrical reference element (15) having a diameter d and a height h, the ratio between the diameter d and the height h of the reference element (15) is minimum ?, and B) a lower member (4) configured to cover the lower orifices (8) of the holes (3); and wherein C) the upper member (2) is configured as a plate shaped body.

Abstract: A method for determining predicted failure rates of drug injection devices includes receiving a set of parameters specifying physical properties of a syringe, a liquid drug, and a drug injection device configured to deliver the liquid drug to a patient via the syringe, the drug injection device including a mechanism that drives a plunger rod toward a plunger of the syringe encased in a syringe carrier. The method also includes receiving failure rate data specifying a measured rate of failure of the drug injection device in response to various peak pressures within the syringe, applying the set of parameters to a kinematic model of the drug injection device to determine a predicted peak pressure within the syringe, determining a probability of failure of the drug injection device using the failure rate data and predicted peak pressure, and providing an indication of the determined probability of failure to an output device.

Abstract: In the optical product bending prediction method according to the present invention, bending ? of a substrate having a film is predicted by a computer performing calculation (steps S11 to S13) of the following Expressions (A1), (B1), etc., in which a and Td are set as fitting parameters and have been optimized in each coating condition using a plurality of samples. Here, ?int is intrinsic stress, Ef is a Young's modulus of a multilayer film, vf is a Poisson's ratio of the multilayer film, ?f is a linear coefficient expansion of the multilayer film, ?s is a linear coefficient expansion of the substrate, T is a room temperature, d is a film thickness, b is a substrate thickness, l is a radius of the substrate, Es is a Young's modulus of the substrate, and vs is a Poisson's ratio of the substrate.

Abstract: A method, according to some implementations, includes obtaining trial design simulation results for a set of trial designs and determining a set of Pareto designs in the set of trial designs based at least in part on the trial design simulation results and one or more performance parameters. The method further includes determining a set of convex hull designs in the set of trial designs, determining a set of recommended designs based at least in part on the set of Pareto designs and the set of convex hull designs, and transmitting the set of recommended designs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for measuring and reporting calibration accuracy of robots and sensors assigned to perform a task in an operating environment. One of the methods includes obtaining sensor data of one or more physical robots performing a process in an operating environment; generating, from the sensor data for a first robot of the one or more physical robots, a motion profile representing how the first robot moves while performing the process; obtaining data representing a plurality of candidate virtual robot components, each having a respective virtual motion profile and is a candidate to be included in a virtual representation of the operating environment; performing a motion profile matching process to determine a first virtual robot component from the plurality of candidate virtual robot components that matches the first robot; and adding the first virtual robot component to the virtual representation.

Abstract: A compiler (CPL) plugin comprises a TC to, responsive to a new DV test, read configuration settings and selects appropriate plugin processes based on the configuration settings. An API interface can generate images that control the special purpose processor during a stage of a plurality of stages for a CPL-related design verification (DV) test and call selected plugin processes. A common compiler module comprising a common function codebase. A DV specialized support module comprising a DV function only codebase, wherein the DV has access to the common compiler module. An RP specialized support module can comprise an RP function only codebase, wherein the codebase is common for both DV and RP, and wherein top-level APIs are designed for both DV and RP. Responsive to completing the DV test, TC disables the plugins and injects traffic for the DV test, and wherein TC reports testing results.

Abstract: In one embodiment, a technique for numerical integration in material point method (MPM)-based geotechnical analysis and simulation is provided. Input terms for an element of a background mesh are received. The input terms including material points in the element that describe a continuum of soil, rock and/or groundwater. A set of constraints is created that defines an optimization problem. The set of constraints provide that numerical integration of the material points weighted by unknown integration weights equal exact integration for finite element shape functions. The optimization problem defined by the constraints is solved by an optimization algorithm to minimize numerical integration error for polynomials up to a given order to produce a set of integration weights. The set of integration weights is scaled to conserve the mass of the material points to produce optimized integration weights.

Abstract: Embodiments of a method and system for inversion of high-resolution aquifer storage coefficient based on gravity satellite data are disclosed. The method comprises: acquiring gravity satellite data, soil moisture storage data, surface water storage data and other non-groundwater component data, based on a preset region. The method also comprises: obtaining monthly time series of terrestrial water storage anomalies, by inversing the gravity satellite data; obtaining monthly time series of soil moisture storage anomalies, surface water storage anomalies, and other non-groundwater component anomalies; obtaining monthly time series of groundwater storage anomalies; and obtaining monthly time series of groundwater level anomalies in different aquifers.

Abstract: A smart render design tool includes: (a) a designer side plug-in enabling a designer to generate credentials for a client and associate the credentials with a model for the client, add camera view(s) to the model, select one or more surfaces in the camera view(s) to add in the model, specify one or more materials for each surface of the one or more surfaces of the model, and publish the model including the specified materials for the one or more surfaces of the model; and (b) a client side portal associated with the credentials and the model enabling the client to access the published model using the generated credentials, select desired materials from among the materials specified by the designer for each surface of the published model, and save the desired materials selections of the client for review by the designer using a synchronization function of the designer side plug-in.

Abstract: Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: a quality control module configured to determine whether the dental prosthesis is a good or a defective product based at least on a differences model generated by comparing a design model and a scanned model of the manufactured dental prosthesis.

Abstract: Implementations disclosed herein provide systems and methods that determine relationships between objects based on an original semantic mesh of vertices and faces that represent the 3D geometry of a physical environment. Such an original semantic mesh may be generated and used to provide input to a machine learning model that estimates relationships between the objects in the physical environment. For example, the machine learning model may output a graph of nodes and edges indicating that a vase is on top of a table or that a particular instance of a vase, V1, is on top of a particular instance of a table, T1.

Abstract: An at least partially automated method for planning installation of elevator components in an elevator shaft delimited by shaft walls includes the steps: recording the course of the shaft walls; determining positions of door openings in the shaft; establishing a target course of a guide rail depending on the positions of the openings; and establishing target positions of the elevator components automatedly depending on the established guide rail target course. Adjustable ones of the elevator components have a part fixable to the shaft wall and a part movable in an adjustment range relative to the fixable part. Target positions of the movable parts are established for the adjustable components. An automated check is carried out to determine whether, when the movable part is positioned at the target position, the adjustment range is sufficient to fix the fixable part to the shaft wall and the results are output for further processing.

Abstract: Methods and systems for evaluating hydrocarbon in heterogeneous formations are disclosed. The use of three-dimensional simulation of the heterogeneous and porous structure at the nanometer scale of formation facilitates more accurate evaluation of the hydrocarbon reserve and fluid behavior.

Abstract: A method of construction of a feedforward neural network includes a step of initialization of a neural network according to an initial topology, and at least one topological optimization phase, of which each phase includes: an additive phase including a modification of the network topology by adding at least one node and/or a connection link between the input of a node of a layer and the output of a node of any one of the preceding layers, and/or a subtractive phase including a modification of the network topology by removing at least one node and/or a connection link between two layers. Each topology modification includes the selection of a topology modification among several candidate modifications, based on an estimation of the variation in the network error between the previous topology and each topology modified according to a candidate modification.

Abstract: A difference analysis method for 3D CAD models based on key-point matching. According to the method, a 3D CAD model is firstly transformed into a key-point representation, then a graph representation and a graph matching method are introduced to establish a pre-matching of vertices between the two 3D CAD models, and rigid transformation parameters between the two 3D CAD models are obtained through a mismatch elimination method; and subsequently, a matching relationship of key-points is established by checking their distance after rigid transformation to obtain a key-point matching sequence for hierarchical comparison, so as to identify the differences between vertices, edges, faces and solid models, thereby quickly and accurately identifying the difference between the 3D CAD models.

Abstract: A method for constructing a multifunctional antenna structure configured to generate a plurality of radiation patterns includes determining a desired source field associated with the plurality of radiation patterns, and receiving feed locations for a waveguide to an antenna aperture surface. The method may further include placing a metasurface resonator at a first resonator location that exhibits a minimum error relative to the desired source field and satisfies a maximum error threshold relative to the desired source field. The metasurface resonator may be determined based on the feed locations and a plurality of degrees of freedom for the first resonator location. The method may also include discarding a second resonator location in response to determining that no metasurface resonator at the second resonator location satisfies the maximum error threshold. The plurality of degrees of freedom may include metasurface resonator geometries that exhibit different polarizabilities defined in a candidate library.

Abstract: Systems and methods for multi-material mesh generation from fill-fraction voxel model data are discussed. Voxel representations of model data are used to generate robust and accurate multi-material meshes. More particularly, a mesh generation pipeline in a virtual fabrication environment is described that robustly generates high-quality triangle surface and tetrahedral volume meshes from multi-material fill-fraction voxel data. Multi-material topology is accurately captured while preserving characteristic feature edges of the model.

Abstract: A system and method that can include training a deep neural network using time series data that represents functions of a non-linear Kalman filter that represents a dynamic system of equipment and environment and models a pre-defined operational procedure as a temporal sequence. The system and method can also include receiving operation data from the equipment responsive to operation in the environment and outputting an actual operation as an actual sequence of operational actions by the deep neural network. The system and method can additionally include performing an operation-level comparison to evaluate the temporal sequence against the actual sequence using a distance function in a latent space of the deep neural network and outputting a score function that quantifies the distance function in the latent space. The system and method can further include controlling an electronic component to execute an electronic operation based on the score function.