Abstract: A method, apparatus, and program product utilize a disentangled factor learning framework to analyze petro-technical image data such as seismic image data to infer properties of a subsurface volume and/or to generate image data for use in training machine learning algorithms for use in petro-technical applications.

Abstract: A computing system may include an assembly access engine configured to access a computer-aided design (CAD) assembly that digitally represents a product component that includes multiple parts. The computing system may also include a part determination engine configured to determine a recommended part for the CAD assembly, including by providing the CAD assembly as an input to a machine-learning (ML) model trained with assembly structure data of CAD assemblies of a common product type as the CAD assembly, generating a candidate part set through the ML model, filtering the candidate part set based on physical and cost characteristics of the different candidate parts of the candidate part set, and identifying the recommended part from the filtered candidate part set. The part recommendation engine may also be configured to insert the recommended part into the CAD assembly and provide the CAD assembly in support of physical manufacture.

Abstract: A method for generating a simulator of a target system includes parsing data defining operational components and component parameters, searching for and obtaining model code definitions within a library database, customizing the model code definitions based on the component parameters, constructing a system model, and generating solver code based the customized model code definitions of the target system. The solver code may be indicative of input and output operation of the target system. The method may also include concatenating the system model with the solver code to form a solver function definition for the target system, and converting the solver function definition into an field programmable gate array (FPGA) core or central processing unit (CPU) core for execution on a simulation device for the target system.

Abstract: Automated skill matching is provided in industrial control. The interfaces (12, 17) and/or the production processes (13, 18) of the controller (16) and machine (11) are matched. The matching of the interfaces (12, 17) links parameters except for optional parameters to check for incompatibility. The matching of the production processes (13, 18) uses a cross-product of the process (13) of the machine (11) with the process (18) of the controller (16) to check for incompatibility. The skill checking guides manual confirmation of compatibility, reducing downtime and reducing engineering or programming time. The machine (11) is more likely to operate correctly with the controller (16) due to the automated skill matching.

Abstract: A field device, method, and non-transitory computer readable medium provide for cost of lost opportunity to operators in real-time using an advance process control. The field device includes a memory and a processor operably connected to the memory. The processor receives current values and average values for controlled variables and manipulated variables; determines costs of lost opportunity for each of controlled variable variance issues, limit issues, model quality issues, inferential quality issues, and variable model issues based on the current values and the average values of the controlled variables; and stores the costs of lost opportunity for the field device.

Abstract: Systems, devices, and methods are disclosed for identifying subsurface features as a function of position in a subsurface volume of interest. A computer-implemented method may include obtaining training subsurface data and corresponding training subsurface feature data; obtaining an initial subsurface feature model including tiers of elements; generating a conditioned subsurface feature model by training the initial subsurface feature model using the training subsurface data and the corresponding training subsurface feature data; and storing the conditioned subsurface feature model in the non-transient electronic storage.

Abstract: A system, method and program product for implementing a machine learning platform that processes a data map having feature and operational information. A system is disclosed that includes an interpretable machine learning model that generates a function in response to an inputted data map, wherein the data map includes feature data and operational data over a region of interest, and wherein the function relates a set of predictive variables to one or more response variables; an integration/interpolation system that generates the data map from a set of disparate data sources; and an analysis system that evaluates the function to predict outcomes at unique points in the region of interest.

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive an indication to execute an artificial intelligence (AI) agent, execute the AI agent based on the digital twin to generate an inference or a prediction, cause a graphical model of the building including graphical representations of the entities to include information based on the inference or the prediction, and cause a display device of a user device to display the graphical model.

Abstract: Methods, software, and apparatuses for accurate and computationally fast and efficient topologic and geometric characterization of porous material or medium, flow characterization of porous material or medium, and porous material or medium design are described.

Abstract: A computer-implemented method and system for determining placement of a sensor component on a utility pipe. Data relating to the utility pipe is inputted which is processed to generate one or more variables. One or more models are trained, via the one or more variables, to produce an output indicative of a likelihood of failure variable associated with the utility pipe from each model. The outputs from all models are preferably combined into an ensemble output indicative of a likelihood of failure associated with the utility pipe. A consequence of failure variable associated with the utility pipe is determined preferably utilizing a plurality of weighted variables. A sensor placement determinative variable is then determined contingent upon the ensemble output and the consequence of failure variable associated with the utility pipe.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for designing lattice structures for heat dissipating devices include a method including: obtaining a 3D model of a device that passes a fluid through an internal structure of the device, including a lattice for the internal structure; performing computational fluid dynamics simulation using the 3D model to generate fluid turbulence data that indicates fluid flows through the lattice for the internal structure; modifying a first density in accordance with the fluid turbulence data; performing computational structural simulation using the 3D model and defined loading condition(s) for the device to generate structural integrity data that indicates a structural weakness of the device; modifying a second density in accordance with the structural integrity data; and providing the 3D model of the device, the 3D model including the modified first density and the modified second density.

Abstract: The present disclosure provides, in various embodiments, technology for configuration of a digital twin for a building or other facility via BIM (Building Information Modelling) data extraction and asset register mapping. This is particularly relevant for the purposes of increasing efficiency and reducing risks of data errors in the context of configuring a digital twin interface for a building. Also described herein is technology configured to provide data flow management for defining of digital records representing building infrastructure based on building information modelling data. This is particularly relevant for the purposes of increasing efficiency and reducing risks of data errors in the context of configuring a digital twin interface for a building.

Abstract: A method for evaluating the reliability of a sealing structure in a multi-failure mode based on an Adaboost algorithm. The Adaboost algorithm is adopted to carry out a classification iterative training on the seal ring failure related data of a small sample until a classification error of set classifier meets a precision requirement; then the failure probability of the sealing structure is calculated under the fluctuation condition of related parameters by adopting the important sampling method, and further the reliability of the sealing structure is evaluated in the multi-failure mode. The present invention solves the problems of long time consumption and complex calculation process of reliability evaluation in multi-failure mode of the complex structure.

Abstract: Systems and a method predict a generation of a robotic program for industrial coating. Inputs are received including a virtual representation of a robot, a coating gun, elements of the object surface to be coated and a set of desired coating thickness ranges. Inputs on a coating dispersion object are also received. Training data of a plurality of robotic programs for industrial coating and of their corresponding coating thickness coverage on a plurality of surfaces are received. The training data are processed in x, y tuples so as to learn a mapping function to generate a coating prediction module. Starting with a given selected valid thickness coverage as input parameters, it is proceeded in an iterative manner to predict a robotic program via the coating prediction module. A coating robotic program is generated for each surface element based on the resulting predicted coating programs.

Abstract: Disclosed is a system for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suffered muscle damage, the method including: A) at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback; B) at least one external computer and/or monitor or graphic interface for viewing external information; C) wherein the at least one apparatus for acquiring muscle or biopotential signals; signal conditioning; processing, sending, receiving information; and self-adjusting feedback and the at least one external computer and/or monitor or graphic interface for viewing external information are configured to carry out a method for measuring, extracting and processing parameters for assessing and monitoring muscle performance with self-adjusting feedback in order to evaluate progress in physiotherapy received by patients who have suff

Abstract: Methods for determining parameter/s of a well completion design (WCD) for at least a portion of a drilled well based on drilling data corresponding to variables of mechanical specific energy (MSE) are provided. In some cases, MSE values may be acquired and the WCD parameter/s may be based on the MSE values. The MSE values may be obtained from a provider or may be acquired by calculating the MSE values via the drilling data. In some cases, the data may be amended prior to determining the WCD parameter/s to substantially neutralize distortions of the data. In some cases, the methods may include creating a geomechanical model of the drilled well from acquired MSE values, optionally amending the geomechanical model and determining the WCD parameter/s from the geomechanical model. Storage mediums having program instructions which are executable by a processor for performing any steps of the methods are also provided.

Abstract: A tool allows a user to create new designs for apparel and preview these designs in three dimensions before manufacture. Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. Based on a laser input file with a pattern, a laser will burn the pattern onto apparel. With the tool, the user will be able to create, make changes, and view images of a design, in real time, before burning by a laser. Input to the tool includes fabric template images, laser input files, and damage input. The tool allows adding of tinting and adjusting of intensity and bright point. The user can also move, rotate, scale, and warp the image input.

Abstract: A system for computing wind turbine estimated operational parameters and/or control commands, includes sensors monitoring the wind turbine, a control processor implementing a model performing a linearization evaluation to obtain a structural component dynamic behavior, a fluid component dynamic behavior, and/or a combined structural and fluid component dynamic behavior of wind turbine operation, and a module performing a calculation utilizing the linearization evaluation of the structural component dynamic behavior, the fluid component dynamic behavior, and/or the combined structural and fluid component dynamic behavior. The module being at least one of an estimation module and a multivariable control module. The estimation module generating signal estimates of turbine or fluid states. The multivariable control module determining actuator commands that include wind turbine commands that maintain operation of the wind turbine at a predetermined setting in real time.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: Provided is a process including: writing classes using object-oriented modelling of modeling topics; scanning the classes to determine class definition information; receiving from a subscribing modeling object a request for a subscription to a given modeling topic in a given modeling topic class, the subscription request including a modeling topic filter to select the given modeling topic from a plurality of modeling topics described by the given modeling topic class; registering a modeling topic accessor associated with the subscribing modeling object and a modeling topic mutator associated with the subscribing modeling object; processing, through the modeling topic filter a modeling topic that is accessed through an accessor and is described by the modeling topic class, the modeling topic being received from a modeling publisher object; notifying the subscribing object of the received modeling topic through a registered modeling topic listener; and mutating the received modeling topic.