A method for estimating parameter values includes acquiring image data with an imaging apparatus, deriving a parameter model function from the image data, generating a N-dimensional grid, wherein N is a number of values of one or more non-linear terms of the derived model function, pre-calculating the one or more non-linear terms given the parameter model function and the designated values of the non-linear parameters, calculating one or more remaining model terms of the parameter model function, and displaying at least one of the one or more non-linear terms and remaining linear model terms.

An approach to determining vehicle usage makes use of a sensor that provides a vibration signal associated with the vehicle, and that vibration signal is used to infer usage. Usage can include distance traveled, optionally associated with particular ranges of speed or road type. In a calibration phase, auxiliary measurements, for instance based on GPS signals, are used to determine a relationship between the vibration signal and usage. In a monitoring phase, the determined relationship is used to infer usage from the vibration signal.

A method for determining a variable near-optimal policy for a problem formulated as Markov Decision Process, the problem comprising at least one limited action entry, the limited action entry being an entry of an action of a finite set of actions limited in the number of times its value may be changed, the method comprising using at least one hardware processor for: receiving data elements with respect to the problem, the data elements comprising: (a) a finite set of states, (b) the finite set of actions, (c) a transition probabilities matrix determining transition probabilities between states of the finite set of states, once actions of the set of actions are performed; (d) an immediate cost function, wherein the value of the immediate cost function is determined for a pair of a state of the finite set of states and an action of the finite set of actions, and (e) a discount factor; updating one or more data elements of the received data elements relating to the at least one limited action entry, wherein the one or more data elements are selected from the group consisting of: the transition probabilities matrix, the immediate cost function and the discount factor, and wherein the updating is triggered by a change of a value of a limited action entry of the at least one limited action entry; and following the updating of the one or more data elements, calculating a current near-optimal policy for the problem based on the updated one or more data elements.

Embodiments of the invention simulate the actual shape of a cumulative distribution function (CDF) that describes the energetic sensitivity of an energetic composition. Sensitivity tests and historical data are input into an electronic processor. Response data points are obtained through electronic analysis and a best fit curve is produced through the response points and produced as output in a tangible medium.

Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

The invention is a system for predicting emissions of pollutants from a vehicle equipped with an engine using processors (3) to determine emission of pollutants. The processors include a first group of processors (1) for carrying out calculations of chemical kinetics for determining the amounts of chemical compounds present in a chemical reaction in the engine and a second group of processors (2) for carrying out calculations of emission of pollutants simultaneously with the calculation of chemical kinetics, allowing determination of the emission of pollutants from the calculated amounts of chemical compounds. The first group of processors (1) has a global supervisor processor (4) allowing storing data required for the calculations and to distribute the calculations to clusters (5) of processors.

The purpose of the present invention is to provide a high-power-efficiency and low-design-cost transmission device by implementing, with a constant clock, delta-sigma modulation maintaining a zero current switching property in an amplifier. This delta-sigma modulator comprises: a pulse phase signal generation unit for generating a pulse phase signal from a phase signal; a delta-sigma modulation unit for generating a pulse amplitude signal obtained by delta-sigma modulating an amplitude signal with a constant clock; a phase sorting unit for outputting a control signal on the basis of the phase signal; a delay switching unit for delaying the pulse amplitude signal on the basis of the control signal; and a mixing unit for outputting a pulse string obtained by multiplying together the delayed pulse amplitude signal and the pulse phase signal.

An electromagnetic field analysis method for an anisotropic conductive material obtained by laminating a first layer, in which a conductivity in a first direction is different from a conductivity in another direction, and a second layer, in which a conductivity in a second direction is different from that in another direction includes: grid-partitioning the first and second layers respectively with a first computational grid having a side extending in the first direction and a second computational grid having a side extending in the second direction; calculating an electromagnetic component of one of electric and magnetic fields in the second grid by interpolation from distribution of an electromagnetic component of the one of electric field and magnetic fields in the first grid; and calculating an electromagnetic component of the other field in the first grid by interpolation from distribution of an electromagnetic component of the other field in the second grid.

Methods and systems for cuttings-based well logging, including a method that includes converting measurements of cuttings samples from one or more depth intervals of a wellbore to a concentration percent of one or more elements, determining a one or more minerals of the cuttings samples from the concentration percent and building a mineralogy model for the cuttings sample based at least in part on a gravimetric conversion of the concentration percent of at least some of the one or more elements to a concentration percent of the one or more minerals. The method further includes normalizing the concentration percent of the one or more minerals, computing a photo-electric absorption factor (PEF) of the cuttings samples for each of the one or more depth intervals, and presenting to a user a log of the computed PEF as a function of wellbore depth.

A simulation engine is configured to generate a physical simulation of a chain of particles by implementing a physics-based algorithm. The simulation engine is configured to generate a predicted position for each particle and to then adjust the predicted position of each particle based on a set of constraints associated with the physics-based algorithm. The simulation engine may then generate a predicted velocity for a given particle based on the adjusted, predicted position of that particle and based on the adjusted, predicted position of an adjacent particle.