359 results about "Source model" patented technology

An instrument and method for imaging and localizing of electrical activities in a biological system, comprising a plurality of sensors for detecting signals over a part of a surface of the biological system, a data acquisition unit for collecting the signals, a positioning device for determining positions of the sensors, a procedure for determining geometry information of the biological system, an electrical source model incorporating physical and physiological properties of the biological system, an estimator for determining the parameters of the electrical source model, and a unit for displaying the reconstructed excitation sequence and / or electrical source distribution in the three dimension space of the biological system and over time.

Apparatus for detecting a metal object comprises a transmitter for generating a pulsed or an alternating magnetic field in the vicinity of the metal object to be detected and a detector for detecting the secondary magnetic field induced in the metal object by the transmitted magnetic field. The detector measures at least three magnetic field gradient components of at least first order of the secondary magnetic field. The apparatus also comprises a processor for determining at least one of the position or the electro-magnetic cross-section or an estimate of the shape of the metal object from the measured magnetic field spatial gradient components. The processor fits the measured components to dipole, multiple dipole, multipole, or extended source models. In a preferred embodiment, the invention may comprise three or more pairs of gradiometric coils, or other sensing means. The detector measures at least five magnetic field gradient components of at least first order, and one or more components of the secondary magnetic field. The detector may be coils, or any other magnetic sensors. The processor enters pre-determined criteria to discriminate against detection of metal objects of no interest or to selectively detect metal objects of interest.

A system and method for developing and enabling model-driven extensible Markup Language (XML) transformation to XML Metadata Interchange (XMI) format incorporate a strong built-in validation capability. A platform independent framework applies multiple passes of transformation, where each pass performs specific operations on internal models. Different source models are then merged into a target model.

The invention discloses a pile-embedding spiral pipe typed ground source heat pump system and a heat transmission model of a geothermal heat exchanger thereof. A solid cylindrical surface heat source model is put forward for the first time and two analytic solution expressions of the heat transmission model is worked out by the Green function method. The system can sufficiently utilizes the underground area of a building, saves a great amount of expenses for boring and pipe embedding, reduces the initial investment of the ground source heat pump system, improves the construction efficiency and has convenient and quick construction. Furthermore, the heat transmission model of the pile-embedding spiral pipe geothermal heat exchanger can quantitatively analyze the effects of all parameters of the pile-embedding spiral pipe geothermal heat exchanger on the heat transmission capability and provides a basis for the engineering design. The structure of the pile-embedding spiral pipe typed ground source heat pump system comprises the geothermal heat exchanger which is connected with an air conditioning heat pump system by pipelines; the air conditioning heat pump system is connected with a conveying and end system in the building; the geothermal heat exchangers have the quantity of more than one; and each geothermal heat exchanger forms the pile-embedding spiral pipe-typed geothermal heat exchanger by building pile foundations and spiral pipes which are embedded in the pipe foundations.

The present invention relates to a computer-implemented method of manufacturing customised 3D objects. The method includes retrieving a source model for a 3D object and a plurality of defined control points for the 3D object from a database; receiving modifications to at least some of the control points from a first user; automatically applying the modifications to the source model to create a modified model; and automatically generating print instructions for manufacture of a customised version of the 3D object. A system and 3D models generated by the method are also disclosed.

A geometric model comparator is provided, which includes processing circuitry, memory, and comparison circuitry. The processing circuitry is configured to generate a target model from a source model. The memory is configured to store the source model and the target model. The comparison circuitry is configured to identify selected points from the source model, create corresponding selected points in a target model, and compare the selected points from the source model with the selected points from the target model to identify one or more selected points from the target model that fall outside of a predetermined tolerance range with the respective one or more points from the source model. A method is also provided.

Method and system are provided for generating a natural language processing model for an information domain. The method includes: deriving a skeleton of a natural language lexicon from a source model of the information domain; applying a set of syntactical rules defining concepts and relationships; and expanding the skeleton of the natural language lexicon based on reference documents from the information domain to provide a natural language processing model for the information domain, wherein expanding the skeleton includes clustering and scoring terms for concepts and relationships.

In a model editing apparatus, a model transformation function transforms SM (source model) 0 into TM (target model) 0, and generates TDM (transformation dependency model) 0. Moreover, when an SM editor generates SM1 by updating SM0, the model transformation function transforms SM1 into TM1 and generates TDM1. When a TM editor generates TM0_n by editing TM0 independently of the change in SM0, a Change element registration function registers a difference Δ2 between TM0 and TM0_n in TDM0, thereby generating TDM0_n. Then, in response to a call, a merge function merges a difference Δ1 between TDM0 and TDM1 extracted by a Δ1 extraction function, and a difference Δ2 extracted from TDM0_n, according to prestored processing patterns.

A method of determining the position and emission rate of at least one source of emanations into an intervening medium, which method comprises measuring the concentration of the emanations in the intervening medium at selected measurement locations to obtain observed data, and measuring the velocity of the intervening medium; postulating a dispersion model; postulating a source model containing source parameters, such as the position(s) of assumed source(s) and assumed emission rate(s); calculating with the dispersion model for a postulated source model the concentration that would arise at the measurement location(s) to obtain synthetic data for the postulated source model; comparing the synthetic data with the observed data to obtain the source model that gives the closest fit; and outputting the position and emission rate of the at least one source assumed in the source model that gives the closest fit.

The invention relates to a method for forming an electric energy metering simulation system and a device thereof, which are used for real-time simulation research on reactive electric energy metering, power grid harmonics analyzing, power grid harmonics electric energy metering and signal processing in electric energy metering, energy meter comparison and energy meter performance test, and are applicable to power grid electric energy metering field to solve the problems of absence of special electric energy metering simulation research means and devices, incapability of developing electric energy metering theories, meter operating principles, comparison and the like in the above researches. The method for forming an electric energy metering simulation system is characterized by comprising the steps of constructing a metering algorithm model library, an electric energy metering visualized interface, a standard source model library, a MATLAB software platform, a DSPACE real time system, a standard source signal, a GSP module, a signal conditioning circuit, a sensor and an actual load. The formation method provides open search means for electric energy metering basic theories, and can form a visual energy meter, an electric energy metering simulation and field replaying system and an electric energy meter comparison device respectively by selecting specific modules in the electric energy simulation system.

The invention provides an ANSYS-based duplex stainless steel and dissimilar steel welding deformation prediction method. The method comprises the following steps: (1) determining welding process parameters; (2) establishing a finite element model and carrying out grid partitioning; (3) determining thermal physical parameters of a welding material; (4) determining a heat source model; (5) calculating a temperature field; (6) calculating a stress field, and calculating welding deformation of duplex stainless steel and dissimilar steel. Compared with the prior art, the ANSYS-based duplex stainless steel and dissimilar steel welding deformation prediction method has the advantages that the deformation after welding of SAF2507 super duplex stainless steel and Q235 low-carbon dissimilar steel is successfully predicted; a thermal treatment scheme after welding is formulated according to a prediction result; the quantity of experiments for a welding process is reduced; manpower and materials are saved; a technical specification is provided for working procedures of previous lofting and feeding in a product manufacturing process; the workload of a working procedure of later machining is reduced.

A data source detection method and system for detecting data sources are provided. The data source detection system comprises a generic data source connector for connecting to a data source, a data source connectors repository for storing the location of the data source and a data source model for representing information contained in the data source. The method comprises the steps of reading a data source connector repository, locating and connecting to a data source connector of a data source and building a data source model of the data source.

The invention discloses a determination method for heat source model parameters in multiplewire submerged-arc welding by numerical simulation. The determination method comprises the following steps of: determining a heat-flow density distribution function in the multiplewire submerged-arc welding process; initially determining the heat source model parameters, wherein the heat source model parameters to be determined includes Ui, Ii, v, n, taui, etai, alphai, f<fi>, bi, ci, a<fi>, and a<bi>; and finally determining a heat-source model, wherein the determined parameters are substituted into the heat-flow density distribution function q(x, y, z, t) which is then taken as a thermology boundary condition for repeated iterative computations by a numerical simulation tool, the computation result of iterative computation of each time is compared with the shape of a joint fusion pool obtained by actual welding, the heat-source model parameters bi, ci, a<fi>, a<bi> are gradually adjusted by a range of 5% according to the comparison results until the errors between the parameters of the fusion depth and the fusion width of a simulated fusion pool and the fusion depth and the fusion width of the actual joint fusion pool are smaller than 10%, and then the determination of the heat-source model parameters in the multiplewire submerged-arc welding is finished.

A system and method for effectively implementing an optimized language model for speech recognition includes initial language models each created by combining source models according to selectable interpolation coefficients that define proportional relationships for combining the source models. A rescoring module iteratively utilizes the initial language models to process input development data for calculating word-error rates that each correspond to a different one of the initial language models. An optimized language model is then selected from the initial language models by identifying an optimal word-error rate from among the foregoing word-error rates. The speech recognizer may then utilize the optimized language model for effectively performing various speech recognition procedures.

The invention discloses a comprehensive benefit analysis-based micro-power-grid optimal configuration method comprising the following steps: operation environment data and load data of distributed power sources in a micro-power-grid are collected; according to a distributed power source model and a micro-power-grid operation solution, output data and comprehensive benefit evaluation indexes of the distributed power sources are obtained; according to the comprehensive benefit evaluation indexes and corresponding weighing coefficients, a comprehensive benefit object function with a distributed power source quantity as a variable is built; the comprehensive benefit object function is solved via a particle swarm optimization algorithm; the distributed power source quantity satisfying constraint conditions is obtained and used a configuration quantity of the distributed power sources in the micro-power-grid; via the method, an overall benefit and comprehensive benefit evaluating system of the micro-power-grid can be comprehensively built, effects exerted by all factors in micro-power-grid planning operation can be accurately analyzed, investment cost can be lowered, and energy utilization efficiency can be improved.

The invention discloses a method for establishing a measurement data-based simple and convenient irradiation source model of a medical linear accelerator. The method is characterized by comprising the following steps of: supposing that an irradiation source of the medical linear accelerator is on the part of the bottommost end of an MLC (Multi-leaf Collimator); measuring a flux pattern of data inversion from the accelerator through adjustment; and realizing simulation of the irradiation source of the medical linear accelerator by using a method of combining weight of outgoing particles and flux strength by combining the position of the outgaining particles with the flux distribution. Dose distribution in a template is obtained by using geometric description of a particle transport model of classic monte carlo program EGSnrc and a model of DOSXYZnrc. The method is established based on measurement data of the medical linear accelerator, so that the dependence of the conventional full accelerator simulation on the technical detail of the structure of the accelerator and heavy calculation task brought by need of sectional re-simulation in each modification process of the simulation parameter are avoided. The model can be used as an irradiation source model for an accurate monte carlo dosage calculation tool in a human body and can also be used for providing a source model for a dosage verification tool in a treatment planning system and an analytical dosage calculation tool of a treatment scheme optimization algorithm.

The invention relates to a dynamic numerical simulation technology for a laser melting deposition formed molten pool. The technology comprises the steps that (1) a numerical model is established, and a grid is divided; (2) model properties and material properties are set; (3) a heat source model is selected; (4) boundary conditions are set; (5) a solver is selected; (6) model initialization is performed; and (7) a temperature filed, a velocity field and molten pool morphology are calculated. According to a calculation model provided in the dynamic numerical simulation technology for the laser melting deposition formed molten pool, a free surface and a mushy zone of the molten pool are considered, and the calculated molten pool morphology, temperature field, velocity filed and free surface are more approximate to truth.

A method, an apparatus and a program for comprehensively analyzing the power supply noise and consequent jitter for external output signals of the LSI in real time. From LSI layout designing data 601, the resistance, capacitance and inductance of the power supply interconnection are extracted to formulate a power supply LRC model 606. An analysis model formulating unit 812 connects a transistor model 610, a noise source model 607, a silicon substrate model 608 and a package / board (printed circuit board) model 611 to formulate a model for analysis of the power supply noise 813 and a model for jitter analysis 817. An analysis unit 814 acquires power supply noise waveform data 816 by first simulation and also acquires jitter analysis data 815 using power supply noise waveform data 816 by second simulation.

A system and method for effectively implementing an optimized language model for speech recognition includes initial language models each created by combining source models according to selectable interpolation coefficients that define proportional relationships for combining the source models. A rescoring module iteratively utilizes the initial language models to process input development data for calculating word-error rates that each correspond to a different one of the initial language models. An optimized language model is then selected from the initial language models by identifying an optimal word-error rate from among the foregoing word-error rates. The speech recognizer may then utilize the optimized language model for effectively performing various speech recognition procedures.

A method, system and apparatus for the model-to-model transformation by element-kind of a source model are proposed. An element-kind model-to-model transformation can include one or more transform elements defining a traversal of a source model, an element-kind mapping and the conversion from source models to target models. The element-kind mapping can include a set of associations between element-kinds for the source model and corresponding transformation rules to produce target objects in a target model.

The present invention, belonging to the technical field of computer graphics and computer assistant graphic design. The method according to the present invention comprises: firstly inputting a three-dimensional garment model set, through shape and style analysis, segmenting the three-dimensional garment parts having the same style structure to achieve semantic segmentation; clustering the three-dimensional garment part models upon the segmentation into four major categories, to form a three-dimensional garment part library; defining a style description measuring recombination of garment parts by using the area of the garment part model and the boarder circumference ratio as major geometric shape features; performing global optimization for the source models of the three-dimensional part model clustering according to the defined style descriptor and target model; and finally outputting a new three-dimensional garment by means of natural splicing. The method according to the present invention avoids the complicated process of garment modeling and improves the efficiency of three-dimensional garment modeling, effectively meets the needs of the present large-scale three-dimensional garment quantity, and has the advantages of practicality and effectiveness.

The invention relates to a building method for a welding heat source model, in particular to a building method for a laser welding heat source model. The method solves the problem in laser welding simulation of large-scale complex construction members that laser heat source achieving difficulty is large, and calculating efficiency is low. The method includes: step 1, building a three-dimensional finite element grid model; step 2, building a Gaussian heat source mode of a heat source surface; step 3, expanding welding energy along the laser welding pool depth direction; and step 4, solving a governing equation based on finite element software and conducting heat-machine coupling calculation, namely building of the laser welding heat source model is finished. The building method is applied to the field of welding.

The invention provides a model driven based imaging design method for an embedded industrial real-time system, and belongs to the technical field of embedded application software and industrial control. The method comprises steps as follows: an embedded industrial real-time field imaging meta model is recognized and constructed; a semantic knowledge base of the imaging meta model is constructed; a model mapping rule system based on the semantic knowledge base is formulated; a visible source model design platform is established; and a model conversion environment which is compatible to various target systems is provided. By means of the method, new system application software can be re-customized by modifying the source model according to requirements of embedded products and changes of application characteristics, and the method has good applicability, maintainability and reusability, can effectively improve the developing efficiency of an embedded industrial terminal, and is real, feasible and suitable for industrial development of embedded products.

The invention discloses a method of determining thermophysical parameters of rock soil and heat resistance of a vertical ground heat exchanger. The method includes steps: initializing test data and parameters of a drill hole and a buried pipe acquired in a thermal response experiment; initially setting rock soil heat conducting coefficient lambda s, rock soil volume heat capacity Cs and weight coefficient f corresponding to weight average temperature, and setting respective parameter ranges; using a column heat source model and a quasi-three-dimensional heat resistance model to calculate drillhole wall temperature Tb, I, ground heat exchanger inlet-outlet fluid temperature Tin, sim, i, Tout, sim, I and ground heat exchanger heat resistance Rb, I corresponding to each moment in the experiment; using square sum mean value of measured value and simulation value difference of the weight average temperature as a target function fopt, and using a simulated annealing algorithm to perform optimization iteration on lambda s, Cs and f; when fopt is lower than an optimization target value delta Tset, acquiring optimization results of three parameters lambda s, Cs and f, calculating a mean value of the sum of Rb, I at each moment corresponding to the optimization results, and acquiring heat resistance Rb of the ground heat exchanger. By the method, accuracy of recognition results on the thermophysical parameters of the rock soil and the heat resistance of the ground heat exchanger is improved.

The invention discloses a numerical simulation method for a P92 steel tube welding heat affected zone. A double-ellipsoid heat source model close to the actual welding state is selected as a heat source model, through programming, heat sources move along pipelines circumferentially under different welding currents, and the actual welding state is really simulated. The temperature variation of an external wall node of the last welding joint close to a P92 end is selected, and the change rule of the width of the heat affected zone along with welding currents is found. By means of the numerical simulation method, the actual welding process can be guided effectively, so that appropriate welding currents can be obtained, and the failure probability of the P92 in the heat affected zone can be reduced.

The invention discloses an antenna cover electric property forecasting method based on a distant field. The problems in the prior art of large calculation amount and inaccurate modeling can be mainly solved. According to the technical scheme, the antenna cover electric property forecasting method comprises the following steps of: establishing an antenna model and a feed source model in electromagnetic analysis software or giving a feed source distant field in a file manner; solving an antenna two-dimensional distant field value under feed source excitation, drawing a directional diagram and extracting electric property indexes; establishing a bolt model and solving a three-dimensional distant field under bolt influence; establishing an antenna cover model, solving a two-dimensional distant field value under three-dimensional distant field excitation, drawing a directional diagram and extracting electric property indexes; comparing the two-dimensional direction diagrams before and after additionally arranging the antenna cover; if a result meets requirements, outputting the two-dimensional direction diagrams before and after additionally arranging the antenna cover, an electric property variation value and structural parameters; and otherwise, modifying the antenna cover model and repeating an analysis process until the result meets the requirements. According to the antenna cover electric property forecasting method provided by the invention, the calculation amount is reasonably controlled, and the electric property of the large-size electric antenna cover is forecasted more accurately.

The invention discloses a simulation method for a finite element of a laser welding temperature field based on a BP neural network and a genetic algorithm GA, which includes the following steps. Step 1 is a simulation of the finite element of the laser welding in which a heat source model with a surface body combination consisting of a gauss surface heat source and a cylinder heat source is selected, a thermal distribution coefficient of a surface heat source, an effective radius of the surface heat source, and an effective thermal power coefficient are selected to be design variables. Moreover, an orthogonal experiment table is designed and simulation errors of the finite element of the heat source model with a surface body combination under different parameters are calculated. Step 2, the BP neural network is established, trained and tested. Step 3, the solution of a optimum parameter is found and the feasibility of optimization results is determined. Then the BP neural network is re-established and the optimization solution of the genetic algorithm is found again when there are big errors. The simulation method for the finite element of the laser welding temperature field based on the BP neural network and the genetic algorithm GA achieves the improved efficiency and precision of the traditional welding temperature field, thereby being easy to find the optimal solution of the simulation.

The invention provides a near / far field broadband mixed source far field source direction finding method based on an amplitude-phase error array, relates to a near / far field broadband mixed source far field source direction finding method, and is to solve the problem of inaccurate estimation of direction of arrival of a far field information source in a near / far field broadband mixed information source when array amplitude-phase errors exist at present. The near / far field broadband mixed source far field source direction finding method based on the amplitude-phase error array comprises the following specific steps: 1) constructing an information source model under an ideal condition; 2) constructing an information source model under the array amplitude-phase errors according to the information source model constructed under the ideal condition; and 3) calculating a far field information source direction-of-arrival estimation value according to the information source model constructed under the array amplitude-phase errors. The method is used in the signal processing field.

A source model in combination with an interest structure is provided to generate a quantization value for use in encoding a video signal. The interest structure is generated from a region of interest manually identified by a user viewing the video on an interactive user display or automatically by a system which recognizes the regions of interest automatically. The region of interest in the video signal is encoded using a quantization value calculated from the interest structure in combination with the source model, and the region of interest is encoded at a higher resolution level than surrounding regions.