Abstract: Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data/screen and the target screen using an artificial intelligence/machine learning (AI/ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide/unhide the matched/unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.

Abstract: Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data/screen and the target screen using an artificial intelligence/machine learning (AI/ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide/unhide the matched/unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.

Abstract: Systems and methods for determining a degree or rate of error for treatments at a field are disclosed herein. In some embodiments, a system receives first data corresponding to a first agronomic treatment at a field and second data corresponding to a second agronomic treatment at the field. The system uses the first and second data to determine differences and overlaps between characteristics of the first and second data to quantify an error rate at individual subsets of the field. Based on the quantified error rate, a number of metrics and yield data may be interpreted differently or modified to fit the result of the quantified error rate. The system uses the quantified error rate to predict the effectiveness of treatments, modify the rate of experienced yields at a field, and recommend real-time and subsequent corrective actions to take at the field.

Abstract: A system and method for optimizing an objective having discrete constraints using a dataset, the dataset including a plurality of aspects associated with the objective. The method comprising: receiving the dataset, the objective, and constraints, at least one of the constraints comprising discrete values; receiving a seed solution comprising initial values for the at least the constraints; iteratively performing until a predetermined threshold is reached: determining a constraint space for each of the constraints have discrete values using a determination of a constraint satisfaction problem; determining an optimized value of the objective using an optimization model, the optimization model taking as input the dataset and the constraint space; and outputting the optimized objective.

Abstract: The invention provides a method for determining a wind turbine layout in a wind power plant comprising a plurality of wind turbines. The method comprises the steps of generating a plurality of random layout candidates fulfilling a set of basic requirements, and then performing a pre screening process on each of the plurality of random layout candidates. Based on the pre-screening process, a subset of layout candidates is selected and detailed optimization is performed on the layout candidates of the selected subset of layout candidates. Based on the detailed optimization, an optimized layout for the wind power plant is selected among the optimized layout candidates of the subset of layout candidates.

Abstract: Systems and methods for creating a geometric design definition for 3D models designed to fit physical or digital template objects is disclosed. The 3D models can transform to fit specific physical or digital objects which are different from but topologically isomorphic to the original template objects based on visual or mathematical inputs. To validate the fit, the generated 3D model can be compared with the specific physical or digital objects for which the 3D model is generated to fit, and the geometry of generated 3D model can be adjusted to improve the fit if the generated 3D model is not validated. The accuracy of the fit of the generated 3D models can be improved iteratively.

Abstract: A method for modeling a new design for electromagnetic effects includes identifying, with a model based system engineering tool, an area of interest in the new design where a lightning strike may occur. The new design includes structural features and electromagnetic features. The method further includes generating, with an electromagnetic effects solver tool and a structural solver tool, a design model for the area of interest in the new design, extracting design parameters from the design model, and generating a reduced order model by processing the design parameters, test results, and simulation results with a modeling tool. The reduced order model couples the structural features with the electromagnetic features. The test results are determined by tests of known designs. The simulation results are determined by simulations of known models. The method further includes storing the reduced order model in a storage medium that is readable by a statistical modeling tool.

Abstract: A system can include a processor; memory operatively coupled to the processor; and processor-executable instructions stored in the memory to instruct the system to: receive a marker on a well log for a well in a geographic region; and iteratively propagate the marker automatically to a plurality of well logs for other wells in the geographic region.

Abstract: Systems and methods to generate new equipment models and/or connectors to integrate the new equipment models are described herein. Generation of new equipment models can include retrieving information from one or more publicly accessible data sources.

Abstract: An example method for processing wind field data includes generating wind field base data using the preliminary data and one or more empirical equations based on climatology. The wind field base data includes multiple data sets each associated with a different time-point in a first set of time-points. The method also includes performing spatial interpolation and temporal interpolation over the wind field base data to generate a sequence of two-dimensional wind field representations each associated with a different time-point in a second set of time-points, and visualizing the sequence of two-dimensional wind field representations.

Abstract: A system includes a controller configured to reconstitute a continuous waveform to a discrete analogue version. The system includes a numerical optimizer configured to determine frequencies of a pulse sequence. The numerical optimizer uses radial motional mode frequencies and a desired gate time. The numerical optimizer generates the pulse sequence by closing phase-space trajectories, disentangling spins and motions, and constraining a Rabi frequency for motional sideband transitions. The system also includes a display configured to illustrate a discrete frequency modulation pulse sequence based on the determined frequencies.

Abstract: Techniques for reducing a compilation time for compiling a neural network are disclosed. A description of a neural network is received by a compiler. A plurality of operators are identified based on the description of the neural network. A plurality of subgraphs are formed, each including one or more operators. For each subgraph, a performance factor is calculated based on a compute usage and a memory usage associated with the operators included in the subgraph. The performance factor is compared to a threshold. Based on the comparison, either the subgraph is classified as a compute bound subgraph and a set of memory optimizations are suppressed or the subgraph is classified as a memory bound subgraph and a set of compute optimizations are suppressed.

Abstract: A method for processing accelerated degradation test data based on Wiener process includes obtaining accelerated degradation test data of a to-be-tested product, selecting a target time conversion model from a predefined set of time conversion models based on the accelerated degradation test data, constructing a nonlinear Wiener degradation process based on the target time conversion model, determining a product reliability function of the to-be-tested product, and testing the reliabilities of the to-be-tested product based on the product reliability function to obtain product reliability test results of the to-be-tested products.

Abstract: Systems and techniques for simulated vehicle operation modeling with real vehicle profiles are described herein. In an example, a simulated vehicle modeling system is adapted to obtain a vehicle performance fingerprint, such as from a vehicle performance fingerprint that includes vehicle performance data collected from a unique vehicle while experiencing real world driving conditions. The simulated vehicle modeling system may be further adapted to present, in a driving simulator, a simulated driving experience with a simulated vehicle, such as for a simulated vehicle that is constructed based on the vehicle performance fingerprint. The simulated vehicle modeling system may be further adapted to update a set of driving directives for an autonomous vehicle based on the simulated driving experience and upload the set of driving directive to an autonomous vehicle.

Abstract: A dragging demonstration system and method. The dragging demonstration system comprises: a model identification module configured to build a static model of a robot and identify model parameters, wherein the static model comprises a gravity model and a Coulomb friction model; a feedforward compensation module configured to convey the identified model parameters to a current ring of each joint motor of the robot in a feedforward way according to the identified model parameters; and a data recording module configured to record the position information of each joint of the robot so that the robot can repeat the demonstration action. The system and method can make a user push the robot quite easily to implement dragging demonstration.

Abstract: Apparatuses, methods, and systems for generating simulations of physical variables of a physical system are disclosed. A method includes fusing, by the one or more computing devices, the observation data and the numeric simulation data, including training a spatial-temporal emulator model for a physical numerical model using the observation data, the numeric simulation data, and the domain interpretable data.

Abstract: An analysis apparatus includes a setting device configured to set information on a structure of an optical connection structure, a solution device configured to solve a partial differential equation having, as an unknown, an electromagnetic field distributed in the optical connection structure based on the information on the structure of the optical connection structure to determine a distribution of the electromagnetic field, a data extraction device configured to extract, from the distribution of the electromagnetic field determined by the solution device, a mode distribution in a plane at a predetermined position of the optical connection structure and a time response of an electromagnetic field at a predetermined position of the optical connection structure, and a characteristics analysis device configured to analyze optical characteristics of the optical connection structure based on the mode distribution and the time response of the electromagnetic field extracted by the data extraction device.

Abstract: A method for determining trial designs is provided. The method includes receiving, via at least one processor, one or more trial design criteria and one or more scenarios corresponding to a set of trial designs, and generating, via the at least one processor, simulation data based at least in part on replicating each of the set of trial designs with the one or more trial design criteria and the one or more scenarios. The simulation data includes performance parameters and performance parameter values associated with each design in the set of designs for a set of criteria. The method further includes determining, via the at least one processor, an optimality criteria for evaluating the trial designs, searching, within the set of trial designs, via the at least one processor, for globally optimum designs based on the optimality criteria, and transmitting, via the at least one processor, globally optimum designs.

Abstract: A system for real-time optimization and adjustment of smart oilfield injection production includes a closed rectangular reservoir simulation box, a reservoir 3D-printed physical model, a simulation production horizontal wellbore system, a simulation injection horizontal wellbore system, a fluid supply system, a fluid collection system, a power fluid system and a computer data collection and control system. The reservoir 3D-printed physical model is in the closed rectangular reservoir simulation box. The simulation production horizontal wellbore system and the simulation injection horizontal wellbore system are in the reservoir 3D-printed physical model. The fluid supply system injects a displacement fluid into the simulation injection horizontal wellbore system in the reservoir 3D-printed physical model to flow to the simulation production horizontal wellbore system.

Abstract: Provided is a system and method that generates an artificial intelligence workflow model in which image conversion, measurement, and image searches can be performed, by selecting/combining algorithms suitable for a workflow having been created/modified according to a subject area such as a display manufacturing process, and that conducts a simulation of the generated model. An explainable artificial intelligence modelling and simulation method includes designing an artificial intelligence workflow model once algorithms suitable for a workflow having been created/modified according to a subject area are selected from algorithms stored in advance; and conducting, when input information is input, a simulation of the artificial intelligence workflow model for the input information.