Abstract: Novel methods and systems for antenna design are disclosed. A quadruple-ridged flared horn antenna can be designed based on geometry and frequency requirements. Automated optimization allows the design of antennas with decade-bandwidth. Optimized quadruple-ridged flared horn antennas can be used for radio astronomy.

Abstract: Embodiments of the present disclosure include displaying a computer-simulated design environment on a user viewable screen of an automation control system, providing a tool within the computer-simulated design environment, wherein the tool is configured to modify the computer-simulated design environment, and generating a visual representation of a first conduit segment extending between a first anchor point and a second anchor point on the user viewable screen, wherein the first anchor point and second anchor point are generated based on sequential activations of the tool.

Abstract: Systems for modeling and building models of oil and gas deposits. In particular, the utility model relates to systems designed for automated identification of surfaces for building a geologic-hydrodynamic model of an oil and gas deposit based on seismic data. A technical result is the improvement of the accuracy in building a geological-hydrodynamic model of an oil-and-gas deposit. The objective of this utility model is to provide a system designed for building a geological-hydrodynamic model, in particular, automated (that is, requiring the user to participate only in the stage of initial data input) construction of a set of surfaces based on input seismic data. The output surfaces can be used, without additional processing, to construct a geological-hydrodynamic grid. The input data for the system are volumes of seismic data attributes P, Q; and seismic volume (optional).

Abstract: A system and method for determination of importance of attributes among a plurality of attribute importance models incorporating a segmented attribute kerneling (SAK) method of attribute importance determination. The method permits operation of multiple attribute importance algorithms simultaneously, finds the intersecting subset of important attributes across the multiple techniques, and then outputs a consolidated ranked set. In addition, the method identifies and presents a ranked subset of the attributes excluded from the union.

Abstract: A system for the dynamic encoding in a semantic network of both syntactic and semantic information into a common four valued logical notation. The encoding of new information being benign to prior syntactic constructions, tests for N conditionals in time O(C) and allows for the proper quantification of variables at each recursive step. The query/inference engine constructed from such an implementation is able to optimize short term memory for maximizing long term storage in the automaton. In a parallel context this can be viewed as optimizing communication and memory allocation between processes. The self-referencing system is capable of analogically extending knowledge from one knowledge source to another linearly. Disclosed embodiments include machine translation, text summarization, natural language speech recognition natural language.

Abstract: Automatic driver modeling is used to integrate human-controlled vehicles into an autonomous vehicle network. A driver of a human-controlled vehicle is identified based on behavior patterns of the driver measured by one or more sensors of an autonomous vehicle. A model of the driver is generated based on the behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle. Previously stored behavior patterns of the driver are then retrieved from a database to augment the model of the driver. The model of the driver is then transmitted from the autonomous vehicle to nearby vehicles with autonomous interfaces.

Abstract: Constraint-based methods for determining orientations of material physical properties using an isoparametric shape function are disclosed. In one embodiment, a method of defining an orientation of an material physical property includes defining nonlinear and/or discontinuous design constraints of design values in a geometric domain associated with one or more physical attributes of the material physical property, and translating the nonlinear and/or discontinuous design constraints into continuous, first order design constraints of the design values by applying an isoparametric shape function. The method further includes performing a topology optimization using the continuous, first order design constraints of the design values, and reverse-translating results of the topology optimization back into the geometric domain using the isoparametric shape function. The results of the topology optimization in the geometric domain are indicative of the orientation of the material physical property.

Abstract: Selective importance sampling includes: first phase importance sampling of a plurality of data points to form a first subset of data points; determining a center of gravity of the first subset; determining, based upon the center of gravity, an orthogonal hyperplane; and a second phase importance sampling comprising: determining, for each point in the first subset, whether each point is above the hyperplane; and forming a second subset of data points, wherein the second subset is a subset of the first subset and wherein the second subset excludes each point of the first subset that has been determined to be above the hyperplane. The second subset also excludes all points within an ellipse below the hyperplane. Critical radial distances are determined from binary search or projection of first phase samples onto center of gravity direction as well as the maximal radius of the first subset around the center of gravity.

Abstract: A method comprising: simulating, in a lattice velocity set, movement of particles in a volume of fluid, with the movement causing collision among the particles; based on the simulated movement, determining relative particle velocity of a particle at a particular location within the volume, with the relative particle velocity being a difference between (i) an absolute velocity of the particle at the particular location within the volume and measured under zero flow of the volume, and (ii) a mean velocity of one or more of the particles at the particular location within the volume; and determining, based on the relative particle velocity, a non-equilibrium post-collide distribution function of a specified order that is representative of the collision.

Abstract: The present disclosure provides methods of generating an interior surface of a vehicle compartment. A selection from the user is received for one of a plurality of identifiers of the general template and a selection from the user is received for a desired location of an exterior surface of a specific vehicle to associate general criteria for the selected one of the identifiers with exterior surface data of the selected desired location. Interior surface data of the selected desired location is determined as a function of the general criteria of the selected one of the identifiers and the exterior surface data of the selected desired location. The interior surface representing the interior surface data of the configuration of the specific vehicle corresponding to the general criteria of the selected one of the identifiers and the exterior surface data of the selected desired location is displayed on the display device.

Abstract: A device receives information associated with a physical network, and creates a thermal fluid model, based on the information and with a technical computing environment (TCE), the thermal fluid model including at least a first block, a second block, and a node connecting the first block and the second block. The device calculates a first convection power flux for the first block and a second convection power flux for the second block, and calculates a first conduction power flux for the first block and a second conduction power flux for the second block. The device adds the first convection power flux and the first conduction power flux to determine a first power flux, and adds the second convection power flux and the second conduction power flux to determine a second power flux. The device outputs the first power flux and the second power flux.

Abstract: Disclosed is an apparatus and method for automatically configuring a sensor to configure a building energy management system (BEMS). The apparatus may include an information input unit to receive input of information on a building in which a BEMS is to be built, information on a sensor used to build the BEMS, and information on a budget allocated to build the BEMS, a sensor disposition unit to calculate a position for the sensor to be disposed in the building based on the input information on the building, the sensor and the allocated budget, and a user interface unit to display the disposed position for the sensor.

Abstract: Techniques for estimated compound probability distribution are described. An apparatus comprising a configuration component, perturbation component, sample generation controller, an aggregation component, a distribution fitting component, and statistics generation component. The configuration component operative to receive a compound model specification and candidate distribution definition. The perturbation component operative to generate a plurality of models from the compound model specification. The sample generation controller operative to initiate the generation of a plurality of compound model samples from each of the plurality of models. The distribution fitting component to generate parameter values for the candidate distribution definition based on the compound model samples. The statistics generation component to generate approximated aggregate statistics.

Abstract: A method of analyzing a 3D geological structure using a structure index. The method includes the steps of estimating physical property values on common coordinates to calculate two or more physical property models on the same 3D grid (L×M×N); normalizing the physical property models, thus obtaining normalized physical property models which are then represented in a scatter plot of physical properties; converting distribution positions of the normalized physical property models on the scatter plot of physical properties into type angle (TA) and into type intensity (TI); determining a minimum of TI values, which classifies two or more classes on a scatter plot of the TA and TI values, to be a threshold; and analyzing the 3D geological structure based on a local extreme point and/or points in the scatter plot for the TA and TI using the threshold.

Abstract: A stochastic computational model parameter synthesis system comprising at least one processor capable of executing processor executable code, and a non-transitory computer memory operably coupled with the at least one processor and storing processor executable code, which when executed by processor, causes processor to synthesize at least one parameter of a stochastic computational model to satisfy one or more behavioral specifications of properties observed in a modeled system. The processor generates and searches randomized projections of a first parameter space having n dimensions into one or more second abstract parameter space having d dimensions, where d is less than n, and outputs a signal indicative of a synthesized parameter value to the user.

Abstract: A method for allocating spatial resources including steps of: providing a store layout; assigning categories to locations in the store layout, calculating a total score for the first store layout; and implementing the category assignments in a store.

Abstract: Methods, systems, and computer readable media are disclosed for simulating a circuit. The method may comprise a step of providing a network model of the circuit having a plurality of ports, the plurality of ports being associated with one or more net pairs. The method may also comprise combining the plurality of ports into one or more groups based on the net pairs, each group corresponding to a net pair. In addition, the method may comprise calculating, for each group, one or more expansion elements, wherein the one or more expansion elements are associated with a shared property among all ports of the group. Moreover, the method may comprise simulating the circuit using a combination of the expansion elements calculated for each group.

Abstract: Methods, systems, and computer-readable media for analyzing a domain are provided. The method includes defining a mask plane that includes a first dimension of a first number of voxels and a second dimension of a second number of voxels, and selecting a plurality of first angles for orientating the mask plane in the domain with respect to a first axis. The method also includes for each one of the plurality of first angles selected populating, using one or more processors, sum cubes associated with each one of a first plurality of subject voxels. The method also includes selecting a plurality of second angles, and for each one of the plurality of second angles selected, calculating a planar sum for each one of a second plurality of subject voxels selected.

Abstract: A method for characterizing one or more properties of a geological formation including brine, the method including inputting at least one first property of the geological formation into an equation of state (EOS) model, the EOS model accounting for a high temperature effect on the brine; solving the EOS model to determine at least one second property of the geological formation; and outputting the at least one second property to a display device.

Abstract: The disclosed embodiments relate to a system that uses data from an online social network to optimize subscription offers. During operation of the online social network, the system gathers data associated with subscription offers that were presented to members of the online social network, including information about which subscription offers were converted. Next, the system uses a machine-learning technique to train a model based on the gathered data. Finally, the system uses the trained model to select subscription offers to present to a member of the online social network.