Abstract: A method of producing a shim for use in an aircraft, the method comprising: providing an aircraft airframe; measuring a surface of the airframe; creating a digital model of the airframe using those measurements; providing an aircraft skin; measuring a surface of the aircraft skin; creating a digital model of the aircraft skin using those measurements; digitally assembling the digital model of the airframe with the digital model of the aircraft skin; using the digitally assembled models, creating a digital model of a shim, the digital model of the shim substantially filling a gap between the digitally assembled digital models of the airframe and the skin; and producing a physical shim using the digital model of the shim.

Abstract: Provided is a method of simulating a quantum computing system having an error correction function. The method includes generating a quantum information density matrix, generating a coded density matrix by performing quantum error correction coding on the quantum information density matrix, applying quantum computing to the coded density matrix and calculating a change in a first reliability of the coded density matrix, applying the quantum computing to the quantum information density matrix and calculating a change in a second reliability of the quantum information density matrix, and determining an operation time of the quantum computing, based on the change in the first reliability and the change in the second reliability.

Abstract: Systems, methods and media for adaptive real time modeling and scoring are provided. In one example, a system for automatically generating predictive scoring models comprises a trigger component to determine, based on a threshold or trigger, such as a detection of new significant relationships, whether a predictive scoring model is ready for a refresh or regeneration. An automated modeling sufficiency checker receives and transforms user-selectable system input data. The user-selectable system input data may comprise at least one of email, display or social media traffic. An adaptive modeling engine operably connected to the trigger component and modeling sufficiency checker is configured to monitor and identify a change in the input data and, based on an identified change in the input data, automatically refresh or regenerate the scoring model for calculating new lead scores. A refreshed or regenerated predictive scoring model is output.

Abstract: Methods, machine readable media and systems for near-field electromagnetic simulation for side-channel emission analysis of an integrated circuit (IC) are described. In one embodiment, a method can include the following operations: simulating EM field strengths for a plurality of grid partitions of a circuit area of the IC based on a cryptographic work load applied to a model of the IC; identifying one or more of the grid partitions as a security sensitive region for the IC based on the EM field strengths, wherein one or more grid partitions outside of the security sensitive region are identified as non-security sensitive regions for the IC; and simulating EM fields for the IC to perform the EM side-channel emission analysis, wherein contributions of the EM fields from the non-security sensitive regions for the EM side-channel emission analysis are based on a linear superposition of wire currents in the non-security sensitive regions of the IC.

Abstract: A teaching apparatus includes a display unit having a simulation area in which a viewpoint for a virtual robot as a simulation model of a robot is changeably displayed and an operation area in which a plurality of operation signs for moving a control point of the virtual robot by changing a posture of the virtual robot are displayed, and a display control unit that controls actuation of the display unit, wherein the display control unit changes directions of the respective operation signs in the operation area to interlock with a change of the viewpoint for the virtual robot in the simulation area.

Abstract: Methods and systems for performing cleaning operations in boreholes penetrating earth formations are described. The methods include obtaining parameter information related to one or more angles of inclination, comparing the obtained parameter information to one or more criteria associated with each respective obtained parameter, generating a cuttings bed model based on the obtained parameter information, obtaining additional parameter information related to the one or more angles of inclination, updating the cuttings bed model in a pseudo-transient manner, determining that a hole cleaning operation is necessary, and at least one of (i) generating an indication that a hole cleaning operation is to be performed and (ii) automatically performing a hole cleaning operation.

Abstract: Provided are techniques for generating and validating facies logs for a horizontal wellbore, including: obtaining facies data for a subsurface formation, including vertical wellbore core data and wireline log data; determining (based on the facies data) a depositional model; determining (based on the facies data) a facies model of a horizontal portion of a wellbore in an target interval of the formation, including a predicted facies log; determining (based on the depositional model) a facies thickness mapping; determining for different locations within the formation (based on a comparison of the predicted facies log and the facies thickness mapping), a discrepancy between the facies of the predicted facies log and the facies thickness mapping for the location; and for locations of a discrepancy, modifying the predicted facies for the location based on the facies indicated for location by the facies thickness mapping, to generate a modified predicted facies log.

Abstract: A method for formation properties prediction in near-real time may include obtaining lab measurements of existing drill cuttings at a plurality of depths of a first well. The method may include obtaining historical drilling surface data at the plurality of depths from a plurality of wells. The method may include obtaining real-time digital photos and real-time drilling surface data of new drill cuttings at a new depth of a new well. The method may include generating, using a prediction model, predicted formation properties of the new drill cuttings based on the real-time digital photos, the real-time drilling surface data, and the new depth. The method may include predicting, using a near-real-time model and the predicted formation properties, near-real-time formation properties in the new well, wherein the prediction model comprises a historical model that employs a machine-learning algorithm.

Abstract: In an embodiment, a process may divide elements of a mesh into sub-elements utilizing field nodes. The process may determine if each field node is inside or outside a material point cloud. The process may calculate a distance from each outside field node to a surface of the material point cloud based on a surface vector in a normal direction and a deformed volume of a material point. The process may calculate a distance from each inside field node to the surface of the material point cloud based on a surface vector, in a normal direction and associated with an outside field node closest to the inside field node, that takes into account a deformed volume of a material point. The process may utilize the distances to generate a signed distance field that may be used to perform calculations to simulate a behavior of a physical material/object that exhibit deformations.

Abstract: Network fabric design and analysis is generally a manual process where the wiring diagram is manually created and analyzed. Because of the complexity of modern network fabric designs, it has become increasingly more difficult to manually detect potential issues with a network fabric design. Accordingly, embodiments herein help automate the analysis of network fabric designs. In one or more embodiments, a trained neural network model or network models receive as input a wiring diagram and analyzes it. In one or more embodiments, the trained model may generate a real-valued score that represents the quality of the design. In one or more embodiments, the trained neural network may classify a particular issue or issues of the network fabric design.

Abstract: Discussed herein are devices, systems, and methods for determining whether to conduct a mission. A method can include partitioning, by processing circuitry configured to implement a model for determining a value representing a probability that operation of an electronic part of a device will be upset by a single event effect (SEE), a trajectory of the device into disjoint time segments. The method can include determining, based on an effective shielding of the device and one or more flux lookup tables (LUTs) for each of the time segments, respective SEE rates experienced by the electronic part for each time segment. The method can include determining, based on the determined respective SEE rates and using the model, the probability. The method can include permitting the device to traverse the trajectory only if the determined probability is less than a specified threshold.

Abstract: One embodiment of the present invention sets forth a technique for performing machine learning. The technique includes applying one or more placement rules to a floorplan of a building to generate a set of candidate column locations in the floorplan. The technique also includes selecting, using a first reinforcement learning (RL) agent, one or more column locations from the set of candidate column locations based on a structural stability of the one or more column locations. The technique further includes outputting the floorplan that includes the one or more column locations as a structural design for the building.

Abstract: A geomechanically integrated model of stimulated rock volume (SRV) of subsurface formations in an area of interest for hydrocarbon production is formed. The methodology for forming the model takes into account geomechanical effects of interest and potential significance which occur over different dimensional scales. The methodology incorporates into the model fault perturbations which are present at a regional or seismic scale of from hundreds to thousands of meters, as well as layer stress occurring at a much smaller hydraulic fracture simulation scale of fractions of meters or meters. The methodology accommodates the differing representations of the subsurface grids used in previous models to represent these different geomechanical effects. Complex grid meshing and computer processing are avoided, improving computer operation and saving computer processing time.

Abstract: Operating heating, ventilation, and air conditioning systems using occupancy sensing are described herein. One device includes instructions which cause a processor to receive building information including information defining a plurality of spaces of a building, occupancy sensing system information describing a location of each of a plurality of occupancy sensing system fixtures with respect to a representation of the building, and heating, ventilation, and air conditioning (HVAC) system information describing a relationship between the plurality of spaces and a plurality of HVAC devices installed in the building, create a mapping between a space of the plurality of spaces, a fixture of the plurality of fixtures, and an HVAC device of the plurality of HVAC devices based on the building information, and modify an operation of the HVAC device based on the mapping and responsive to a determination of occupancy in the space by the fixture.

Abstract: The disclosure notably relates to a computer-implemented method for designing, with a CAD system, a 3D modeled object representing a mechanical part. The method includes obtaining a B-rep representing the mechanical part. The B-Rep has faces and edges. The method further includes obtaining a first set of faces and a feature type. The feature type is either a depression feature type or a protrusion feature type. The method further comprises, automatically by the CAD system, recognizing a second set of faces within the first set of faces. The second set of faces represents a feature of the provided feature type. This constitutes an improved method for designing a mechanical part.

Abstract: A system for developing a simulation of a process. In one aspect, a system creates a first model within the simulation. The first model represents a part of the process and comprises a first port to which other models may be connected. The system also creates a second model within the simulation. The second model represents another part of the process and comprises a second port to which other models may be connected. The system then connects the first port and the second port together. Upon connection, the system allocates a memory location as a connection variable that represents a type of information transfer between the first and second ports. A first port variable, which represents a value transferrable through the first port, is set to reference the value at the allocated memory location. Similarly, a second port variable, which represents a value transferrable through the second port, is also set to reference the value at the allocated memory location.

Abstract: A method for training a probabilistic encoder-decoder having a latent space, the method including: extracting different types of medical data for a group of individuals; creating a data matrix X including the extracted medical data, wherein each row of the data matrix X includes data for one of the group of individuals; creating condition matrix C including features to define a clinical condition, wherein each row of the condition matrix C includes the condition data for one of the group of individuals; and training the encoder and the decoder to learn the latent space by minimizing the reconstruction loss and using a regularization effect to force clinically similar inputs to be close together in the latent space.

Abstract: A simulation method related with the opening force of a front vehicle door after a vehicle frontal collision including: a first simulation step in which deformations of vehicle components which are caused in the vehicle frontal collision to affect the opening of the front door are calculated by simulation; and a second simulation step in which the opening force of the front door after the vehicle frontal collision is predicted by simulation; wherein the components which affect the opening of the front door include a design component and an interface component, the deformations of the design component and the interface component obtained in the first simulation step being used as initial geometric conditions of the design component and the interface component in the second simulation step.

Abstract: Methods and systems are disclosed for optimizing compilation efforts for design debug based on formal analyses. The method includes accessing a circuit design, automatically determining a segment as being a design region of interest, identifying a behavior within the segment for performing at least one verification test, compiling the segment without compiling a remainder of the circuit design, and providing performance indicators corresponding to the behavior within the segment based on the segment as compiled.

Abstract: Method for modelling a reservoir including receiving a data set relating to one or more wells within a reservoir, processing the data set to identify one or more fractures extending from the one or more wells into the reservoir, categorizing the one or more fractures as principal fractures or secondary fractures, identifying a near well high permeability region for each of the one or more wells, generating a gridded fracture plane of the one or more wells, determining a fracture permeability region, assembling the gridded fracture plane, the fracture permeability regions, and the near well high permeability region for each of the one or more wells, and generating a three-dimensional reservoir model based on the assembled gridded fracture plane for each of the plurality of predetermined depths, the fracture permeability regions, and the near well high permeability region for each of the one or more wells.