30 results about "Mathematical process" patented technology

A computer implemented method, computer program product, and data processing system for performing analysis on a plurality of data stored in a database. In an illustrative method, a first cohort is generated from the plurality of data. An optimal control cohort is generated from the plurality of data. Generating is performed based on the first cohort and at least one constraint, and a mathematical process is used to derive the optimal control cohort. A first inference is generated based on a comparison of the first cohort to the optimal control cohort, wherein the first inference is absent from the database. In an illustrative example, the first inference is stored.

A magnetic screening system uses directional gradiometers with high resolution and accuracy to measure magnetic field signatures of target objects (e.g., gun, knife, cell phone, keys) in a volume of interest. The measured signatures can be compared to signatures of known objects stored in a local database. Various mathematical processes may be used to identify or classify target object signatures. In a network of magnetic screening systems, the magnetic screening systems can transmit signatures to a central signature database, and a management computer can share the central signature database with all of the magnetic screening systems on the network. The magnetic screening system can operate in multiple modes, such as a tracking mode, measurement mode, and self-test mode. Through use of unique processes and designs, the magnetic screening system can achieve a high rate of processing persons for target objects.

An estimation unit can estimate, on a real-time basis, a maximum power generation capacity of a single cycle or combined cycle gas turbine power plant. For example, the actual power output and the maximum power generation capacity can be calculated relying on a mathematical process model. Subsequently, the calculated actual power output can be compared with the measured power output yielding a model-estimation error. Based on the model-estimation error, a correction signal can be deduced, to correct the calculated maximum power generation capacity. A controller can maintain a specified power reserve. The controller can use an estimate of the maximum power generation capacity as a reference, subtract a load offset, and apply the resulting signal as upper limit of the load set-point.

An apparatus for detecting a physiological condition in a person, comprising input means for receiving at least two physiological parameters, processing means for determining, from the received physiological parameters, a result signal indicative of the presence or onset of said physiological condition, and output means for generating an output indicative of the result signal. The apparatus further comprises storage means for storing a look-up table comprising a plurality of entries, each entry corresponding to a pre-calculated probability of the presence or onset of said physiological condition, the pre-calculated probabilities being determined by means of a mathematical process from previously monitored physiological parameters; and the processing means is adapted to process the received at least two physiological parameters to identify one of the plurality of entries of the look-up table, and to determine said result signal from the identified entry of the look-up table.

Petroleum oil is catalytically cracked by contacting oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in an FCC apparatus having a regeneration zone, a separation zone, and a stripping zone. Production of light-fraction olefins is maximized by applying appropriate process control, monitoring, and optimizing systems. Mathematical process models, including neural networks, statistical models and finite impulse models are used in conjunction with advanced controllers and optimizing routines to calculate optimal settings for various parameters. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit, decreasing overall operating costs and increasing plant safety.

A method is described for controlling a process section for thermo-mechanical pulp (TMP) refining. The process section has at least one first refiner having a plurality of sensors arranged in a predetermined position on a refiner plate of the at least one first refiner. The method comprises measuring, alternatively estimating, one or more process variables representing external states outside of the refiner Formula (I) for said process section and measuring, alternatively estimating, one or more values representing one or more internal states states Formula (II) inside said at least one first refiner, and calculating a change for said at least one manipulated variable (u 1 ) for said at least one refiner using said measurement of an internal state Formula (II) of said at least one refiner and a measurement of said one or more process external states Formula (I); for said process section by means of a mathematical process model.

Petroleum oil is catalytically cracked by contacting oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in an FCC apparatus having a regeneration zone, a separation zone, and a stripping zone. Production of light-fraction olefins is maximized by applying appropriate process control, monitoring, and optimizing systems. Mathematical process models, including neural networks, statistical models and finite impulse models are used in conjunction with advanced controllers and optimizing routines to calculate optimal settings for various parameters. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit, decreasing overall operating costs and increasing plant safety.

An on-line prediction method of the Mooney viscosity of rubber mixing in a rubber mill, which uses the various process parameters detected during the rubber mixing process of the open mill and the established mathematics of Mooney viscosity and process parameters for rubber materials of different formulations. model to predict the Mooney viscosity of the rubber compound during the mixing process; the established mathematical model of the Mooney viscosity and process parameters is an online prediction mathematical model established by a stepwise regression method. The invention does not need to be parked before testing, and can predict the Mooney viscosity of the mixing rubber in the open mill online, saving the rubber parking time; the statistical principle is used to make the prediction result have higher accuracy and reference value, and can be used for Control and adjust rubber mixing parameters; on-line control of rubber mixing quality can also be realized on the open training machine; less investment, simple control, obvious effect and broad application prospects.

A hartmann wavefront sensor super-resolution wavefront reconstruction method includes adopting the optical structure of a classic hartmann wavefront sensor, utilizing facula array images acquired through a photoelectric detector array as optical wave far field frequency domain signals, conducting iterative convergence between near field empty domain wavefront unknown quantities and far field frequency domain facula known quantities through an optical diffraction formula and a phase inversion basic mathematical process according to a complex amplitude transmittance function of a microlens array to finally obtain a high accuracy wavefront measurement result of the resolution of a superfine lens. By modifying the hartmann wavefront sensor restoring algorithm, the limit that the wavefront restoring resolution is limited by the resolution of the microlens array is removed, the hartmann wavefront sensor facula array image information is fully utilized, facula dispersion information troubling the facula mass center detection is utilized to effectively improve the wavefront detection accuracy, the need and dependency on the high-density microlens array are reduced, and the method can be applied to the fields of high-accuracy wavefront detection, weak signal wavefront detection and the like.

A method is described for controlling a process section for refining fibrous material such as wood pulp, cellulose pulp and the like. The process section has a refiner driven by a motor of which the speed is variable. Using a multivariable control method the process may be optimised for energy by varying the rotation speed of the refiner. The process section may also have at least one first refiner having a plurality of sensors arranged in a predetermined position on a refiner plate of the at least one first refiner. The method may also comprise measuring, alternatively estimating, one or more process variables representing external states outside of the refiner (?1,Q1) for said process section and measuring, alternatively estimating, one or more values representing one or more internal states (?1) inside said at least one first refiner, and by calculating a change for said at least one manipulated variable (u1) for said at least one refiner using said measurement of an internal state (?1) of said at least one refiner and a measurement of said one or more process external states (n1,Q1) for said process section by means of a mathematical process model.