The present disclosure discloses a full adder based on resistive-switching devices and an operation method thereof. A multi-bit full adder circuit is constituted by using a cross-bar array of resistive-switching devices, wherein data of standard sums is stored on the principle diagonal of the cross-bar array in a nonvolatile manner, and carry data is stored in adjacent units on both sides of the principle diagonal. The carry data is stored according to whether the storage loop (crosstalk loop) is turned on. With the present disclosure, the multi-bit full adder circuit is significantly simplified. Thereby, additional circuits for generating a carry signal are reduced, the circuit delay and chip area are decreased, and the adder has an ability of nonvolatile storage.

Model metadata for each of a plurality of models is stored. The model metadata includes a statistical analysis technique identifier and one or more model input data identifiers. A request to execute a model is received. The request includes data identifying one of the plurality of models, and a model execution start date and end date. On the model execution start date, execution of the model associated with the model execution request is commenced. Outputs of the executed model are stored in a database. The outputs are associated with a model instance identifier, information describing a context for execution of the model, and model output type information. The outputs are retrieved, using the model instance identifier, for analysis.

A parameter estimation apparatus 10 is an apparatus for calculating a threshold for separating a plurality of data points into outliers and inliers and estimating a parameter fitting the inliers. The parameter estimation apparatus 10 includes: a parameter estimation unit 13 configured to estimate the parameter by using the plurality of data points as input; a threshold setting unit 14 configured to calculate the threshold based on statistical information of residuals of the data points; and a convergence determination unit 15 configured to determine whether or not convergence of the estimation of the parameter is reached based on the estimated parameter and the calculated threshold, and to cause the parameter estimation unit 13 and the threshold setting unit 14 to each execute processing again if the convergence determination unit 15 determines that convergence is not reached.

A parameter estimation apparatus 10 is an apparatus for calculating a threshold for separating a plurality of data points into outliers and inliers and estimating a parameter fitting the inliers. The parameter estimation apparatus 10 includes: a parameter estimation unit 13 configured to estimate the parameter by using the plurality of data points as input; a threshold setting unit 14 configured to calculate the threshold based on statistical information of residuals of the data points; and a convergence determination unit 15 configured to determine whether or not convergence of the estimation of the parameter is reached based on the estimated parameter and the calculated threshold, and to cause the parameter estimation unit 13 and the threshold setting unit 14 to each execute processing again if the convergence determination unit 15 determines that convergence is not reached.

A method for iNecklace-iAlphabet-iUniverse comprises receiving a request for intuitive structures from the environment, constructing the iAlphabet, computing the identity, performing algebraic, categorical, and homotopy type constructions, performing constructions with measures, recalling relevant instances with reconstructions, identifying the analytic device, enabling composability to construct iUniverse.

Systems and methods for creating a surface in a faulted space, which includes using interpolation techniques.

A system and a method for calculating the cetane number, pour point, cloud point and aniline point of gas oil fractions of a crude oil sample from the density and gas chromatographic simulated distribution of the sample.

Embodiments of the invention disclose the determination of the actual shape of a cumulative distribution function (CDF) for an energetic composition. Sensitivity tests and historical data are configured for input into an electronic processor. An energetic determination tool is configured to determine the actual shape of the CDF. The actual shape of the CDF is output in a tangible medium.

The invention relates to a calculating method for molecular volume and shape comparison of two molecules. The method includes steps of loading in three-dimensional structure information of a first molecule, the three-dimensional structure information comprising type and coordinate values of each atom contained in the first molecule; obtaining respective van der Waals radius based on the type of respective atom contained in the first molecule, converting the three-dimensional structure information into a group of Gaussian spheres representing atoms in the first molecule; calculating overlap volume for each pair of Gaussian spheres; calculating the weight of each Gaussian sphere; calculating self-overlap volume of the first molecule, the self-overlap volume being used as a volume of the first molecule. The present invention is useful mathematical expression of molecular shape, shape comparison of drug molecules, and pharmacophore comparison of drug molecules, which comparisons, in turn, useful for virtual screening of drug molecules.

A method and system for generating a model function h(x,y,z) implicitly representing geologic horizons. Geological data representing a fault network and horizons automatically extracted from seismic data may be received. A 3D mesh may be generated and divided into a plurality of fault blocks by the fault network. A discrete function h(x,y,z) may be defined having values of the geological data representing horizons at discrete nodes of the mesh. Constraints may be installed on the discrete function h(x,y,z) defining surfaces representing horizons. Constraints may be installed on the discrete function h(x,y,z) to ensure the uniqueness of the function h(x,y,z). The discrete function h(x,y,z) may be interpolated at the nodes of the mesh to create a piecewise continuous function h (x,y,z) while honoring the constraints. The piecewise continuous horizon function h(x,y,z) may be synchronized across multiple fault blocks. A model of the piecewise continuous horizon function h(x,y,z) may be displayed.