Abstract: According to one embodiment, a method of displaying model includes: sampling a pattern to acquire an attention point; calculating a spatial or planar distribution that indicates any one of a design density, a lithography target density, a mask transmittance, or an optical image intensity at N points (N being an integer equal to or greater than 1) on the pattern including the attention point; calculating a threshold for the pattern; estimating, based on the distribution and the threshold, N elements respectively corresponding to the N points as a model; and displaying the estimated model.

Abstract: A system for estimating a volume of activation around an implanted electrical stimulation lead for a set of stimulation parameters includes a display; and a processor coupled to the display and configured to: receive a set of stimulation parameters including a stimulation amplitude and a selection of one of more electrodes of the implanted electrical stimulation lead for delivery of the stimulation amplitude; determine an estimate of the volume of activation based on the set of stimulation parameters using the stimulation amplitude and a database including a plurality of planar distributions of stimulation threshold values and a map relating the planar distributions to spatial locations based on the one or more electrodes of the implanted electrical stimulation lead selected for delivery of the stimulation amplitude; and output on the display a graphical representation of the estimate of the volume of activation.

Abstract: An electromagnetic measurement tool for making multi-frequency, full tensor, complex, electromagnetic measurements includes a triaxial transmitter and a triaxial receiver deployed on a tubular member. An electronic module is configured to obtain electromagnetic measurements at four or more distinct frequencies. The measurement tool may be used for various applications including obtaining a resistivity of sand layers in an alternating shale-sand formation; computing a dielectric permittivity, a conductivity anisotropy, and/or a permittivity anisotropy of a formation sample; and/or identifying formation mineralization including discriminating between pyrite and graphite inclusions and/or computing weight percent graphite and/or pyrite in the formation sample.

Abstract: Embodiments provide techniques for estimating seasonal indices for multiple periods. Some embodiments can receive a signal comprising a plurality of measures sampled over a span of time from an environment in which one or more processes are being executed. Some embodiments may then extract a seasonal effector and a de-seasonalized component from the signal. Next, some embodiments can apply one or more spline functions to the seasonal effector to generate a first model. Some embodiments may then apply a linear regression technique to the de-seasonalized component to generate a second model. Some embodiments may then initiate actions associated with the code. Some embodiments may then generate a forecast of the signal based on the first model and the second model. Next, some embodiments may initiate, based at least in part on the forecast, one or more actions associated with the environment.

Abstract: A solar irradiance intensity estimation apparatus has an estimation model generation unit that generates estimation models of solar radiation intensities at a plurality of observation points based on observed cloud state data and solar radiation intensities observed at the plurality of observation points, an estimation model interpolation unit that generates an estimation model of a solar irradiance intensity at a target point based on the estimation models of solar radiation intensities at the plurality of observation points, and a solar irradiance intensity estimation unit that estimates a solar irradiance intensity at the target point based on a reflection intensity at the target point obtained from the cloud state data and the estimation model of a solar irradiance intensity at the target point.

Abstract: An example system for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation includes a sensor collecting load data of the piece of equipment and a processing device for executing computer readable instructions. The computer readable instructions include: determining a lifetime model for the piece of equipment; calculating a bucket size using one of the lifetime model and a distribution of load data; discretizing a load data spectrum into one or more buckets using the calculated bucket size; assigning the collected load data to the one or more buckets of the load data spectrum; storing the collected load data assigned to the one or more buckets to a memory; and determining a lifetime estimation of the piece of equipment based on the load data assigned to the one or more buckets of the load data spectrum and stored to the memory.

Abstract: A simulation circuit, that simulates characteristics of transistors is produced to include: an isolation body resistor representing resistance of a channel isolation portion of a transistor; a main body resistor representing resistance of main channel portion of the transistor; an isolation transistor connected to the isolation body resistor; and a body-contact transistor connected to the main body resistor. Simulated data is generated by supplying test inputs to the simulation circuit, while selectively activating either the isolation transistor or the body-contact transistor. Test data is generated by supplying the test inputs to the transistors, and measuring output of the transistors. The simulated data is compared to the test data to identify data differences. The design of the transistors is changed to reduce the data differences. The generation of test data, comparing, and design changes are repeated, until the data differences are within a threshold.

Abstract: Techniques for controlling a hydrocarbon production system include determining a first estimate of a prior FVC detectability probability map based on a plurality of reservoir data that includes four-dimensional (4D) seismic data of a subterranean reservoir; determining a second estimate of the prior FVC detectability probability map under seismic data noise conditions; determining an updated detectable FVC probability based on the 4D seismic data; determining an updated FVC probability based on the updated detectable FVC probability and the first and second estimates of the prior FVC detectability probability maps; and generating a control instruction for at least one of a fluid injection system or a hydrocarbon production assembly based on the updated FVC probability.

Abstract: A computer implemented method includes receiving a digital description of a quantum circuit, partitioning the digital description of the quantum circuit into a plurality of quantum sub-circuits wherein each quantum sub-circuit of the plurality of quantum sub-circuits comprises one or more quantum gates, determining sub-circuit dependencies for the plurality of quantum sub-circuits, simulating the plurality of quantum sub-circuits according to the sub-circuit dependencies to produce simulation results for each quantum sub-circuit of the plurality of quantum sub-circuits, wherein a first and a second quantum sub-circuit of the plurality of quantum sub-circuits each contain one or more gates that are applied to a common qubit, and wherein the first and the second quantum sub-circuit are simulated independently using an entangled tensor index. A corresponding computer system and computer program product are also disclosed herein.

Abstract: A system includes an input/output interface, a processor, and a non-transitory computer-readable medium having instructions stored thereon. The instructions, when executed, cause the processor to receive a fault code, display on the input/output interface a first component of an aircraft that is associated with the fault code, upon selection by a user of a first hyperlink associated with the first component, display a physical layout of the aircraft in which the first component is indicated, and upon selection by the user of a second hyperlink associated with the first component, display a first wiring diagram of the aircraft in which the first component is indicated.

Abstract: A computer implemented method for the prediction of the surge point of a compressor includes: generating a plurality of meshes: a compressor inlet mesh, at least a compressor rotor stage mesh, and a compressor outlet mesh, representing a plurality of exit guide vanes and an exit nozzle and extending up to a final nozzle exit area; assembling the plurality of meshes to obtain the CFD domain; specifying boundary conditions of the computational domain; specifying atmospheric pressure conditions at the final nozzle exit area; computing compressor inlet mass flow rate and compressor pressure ratio; checking if the numerical stability limit is not reached, as a result of the numerical stability limit not being reached: decreasing dimensions of the final nozzle exit area; generating again the compressor outlet mesh; repeating the steps of specifying atmospheric pressure at the final nozzle exit area, the step of computing, and the step of checking.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using roughing toolpath sequences generated for subtractive manufacturing include, in one aspect, a method including: obtaining 3D models of a part and a workpiece and information regarding different cutting tools and cutting data therefor; determining a set of candidate combinations of the different cutting tools to effect the roughing operations by estimating a target machining result for each of multiple, tool-size-ordered lists of the different cutting tools; generating an expanded set of combinations of the different cutting tools to effect the roughing operations by adding variations of the candidate combinations; populating a multidimensional roughing operations representation vector using the expanded set of combinations; optimizing values of the multidimensional roughing operations representation vector using simulation of the roughing operations; and p

Abstract: A cognitive computing system for enhancing oilfield operations, in some embodiments, comprises: neurosynaptic processing logic; and one or more information repositories accessible to the neurosynaptic processing logic, wherein the neurosynaptic processing logic produces a recommendation in response to an oilfield operations indication, the neurosynaptic processing logic produces said recommendation based on a probabilistic analysis of said oilfield operations indication, resources in the one or more information repositories, and oilfield operations models in the one or more information repositories, said oilfield operations models pertaining to oilfield operations associated with said indication, wherein the neurosynaptic processing logic presents said recommendation to a user.

Abstract: A common task when designing computer-aided design (CAD) assemblies is to ensure that the tolerances applied to each component are such that the assembly will function as expected when the parts are made to the extremes of their tolerance zones. The disclosed methods and systems automatically generate dimension and tolerance information for fastened components. Given a source component with dimensions and tolerances, the dimensions and tolerances are automatically applied to mating entities of a target component such that fit is insured without interference when the parts are manufactured at worst case, or at the extremes of their tolerance zones.

Abstract: A method for determining active constraint equations in a network of wells and surface facilities includes constructing at least one constraint equation for a connection in the network. Each constraint equation includes a respective slack variable and a respective slack variable multiplier. The method further includes constructing a base equation for the connection. The base equation includes the respective slack variable and another respective slack variable multiplier. The method further includes introducing a pseudo slack variable for another connection in the network such that a Schur complement, of a matrix of constraint and base equations dependent only on slack variable multipliers, is sparse. The method further includes solving for each respective slack variable using the Shur complement matrix. The method further includes adjusting a variable parameter of the network using results from solving for each respective slack variable.

Abstract: Generating an abstract model of the behavior of a hardware and/or software design. A learning framework learns an unknown regular language that represents the behaviors of the hardware and/or software logic which do not violate a specified property that the abstract model is required to satisfy. The framework receives input data including the specified property, concrete models of the behavior of the hardware and/or software; and an alphabet of all symbols that are allowed to occur in any string that can be defined in the unknown regular language, each symbol representing an event in the hardware and/or software. The framework generates an abstract model of the behavior of the hardware or software design by checking whether a sequence of events in a concrete model satisfies the specified property and outputs the generated abstract model.

Abstract: A method is provided for designing and fabricating a removable partial denture (RPD) framework including clasp retainers configured for removable engagement with abutment teeth of a patient. The method includes obtaining an initial digital model of the RPD framework based on patient image data. For each clasp retainer, a set of relevant geometric parameters is identified, each relevant geometric parameter being provided with a nominal value, and a target value of dislodging force is provided. The method further includes performing a force analysis on the initial digital model to determine corrected values for the relevant geometric parameters of each clasp retainer such that when the corrected values are assigned to the relevant geometric parameters, the dislodging force matches its target value. The method also includes obtaining a corrected digital model based on the corrected values, and fabricating the RPD framework based on the corrected digital model.