307 results about "Model equation" patented technology

A method and system estimates manufacturing costs for conventional and advanced materials and processes based on process-oriented approach. A computer system input display for selecting one or more designs and one or more design parameters. Cost models are based upon process-oriented manufacturing cost estimates for a plurality of designs utilizing materials and manufacturing processes. Software is programmed to receive selected designs and selected design parameters from the input display and pass the selected designs and design parameters to the cost models. An output display shows the manufacturing costs estimated by the cost models for the selected designs and design parameters. A manufacturing process flow simulation model highlights and quantifies the magnitude of the manufacturing process cost drivers. An architecture including a relational database is also disclosed, and input and editing modules can be utilized to modify the cost model equations or to provide input from other software applications.

The present disclosure relates to an automatic lane change control of a vehicle is possible using a lane change control device including: a space recognition unit that detects a front object using a camera sensor of a vehicle, recognizes an empty space, and determines a target position, within the empty space on the basis of a lane modeling equation determined from a lateral offset, the vehicle's traveling velocity (V), and a lane change request time (t); a path generation unit that generates a path for moving from a current vehicle position to the target position; and a control unit that performs a lane change control that controls at least one of the vehicle's steering angle and a vehicle velocity such that the vehicle moves to the target position along the path.

A battery state estimating unit (110) estimates an internal state of a secondary battery according to a battery model equation in every arithmetic cycle, and calculates an SOC based on a result of the estimation. A parameter characteristic map (120) stores a characteristic map based on a result of actual measurement performed in an initial state (in a new state) on a parameter diffusion coefficient (Ds) and a DC resistance (Ra) in the battery model equation. The parameter change rate estimating unit (130) estimates a DC resistance change rate (gr) represented by a ratio of a present DC resistance (Rc) with respect to a new-state parameter value (Ran) by parameter identification based on the battery model equation, using battery data (Tb, Vb and Ib) measured by sensors as well as the new-state parameter value (Ran) of the DC resistance corresponding to the p resent battery state and read from the parameter characteristic map (120).

An optical metrology system includes model approximation logic for generating an optical model based on experimental data. By eliminating theoretical model generation, in which the fundamental equations of a test sample must be solved, the model approximation logic significantly reduces the computational requirements of the metrology system when measuring films formed on patterned base layers. The experimental model can be created by selecting an expected mathematical form for the final model, gathering experimental data, and compiling a lookup model. The lookup model can include the actual measurement data sorted by output (attribute) value, or can include “grating factors” that represent compensation factors that, when applied to standard monolithic model equations, compensate for the optical effects of grating layers.

A computer system and method of simulating the behavior of an oil and gas reservoir including changes in the margins of frangible solids. A system of equations including state equations such as momentum, and conservation laws such as mass conservation and volume fraction continuity, are defined and discretized for at least two phases in a modeled volume, one of which corresponds to frangible material. A material point model technique for numerically solving the system of discretized equations, to derive fluid flow at each of a plurality of mesh nodes in the modeled volume, and the velocity of at each of a plurality of particles representing the frangible material in the modeled volume. A time-splitting technique improves the computational efficiency of the simulation while maintaining accuracy on the deformation scale. The method can be applied to derive accurate upscaled model equations for larger volume scale simulations.

A lane recognition image processing apparatus can improve lane marking recognition performance by preventing false detection by addition of a condition without changing the basic principle of an one-dimensional image filter. A search area is set for each lane marking with respect to images stored in a image storage part through a window. A candidate point extraction part extracts candidate points of each lane marking from the search area thus set. A lane marking mathematical model equation is derived by approximating sets of extracted candidate points by a mathematical model equation. The candidate point extraction part includes a kernel size setting part, a filtering part that outputs, as a filtering result, the smaller of differences between the gray value of a pixel of interest and those of pixels forwardly and rearwardly apart a kernel size from the pixel of interest in a scanning direction, respectively, and a binarization part that binarizes the filtering result.

The invention discloses a method for establishing a constitutive model for aluminum alloy thermal elastoplastic deformation simulation. The method comprises the following steps: (1) selecting the constitutive model; (2) determining model parameters; and (3) substituting the parameters into a constitutive model equation, and determining the constitutive model equation. The method has the advantages that the establishment of the constitutive model fills up the blank of simulating a relationship between the mechanical performance and temperature of a material used in machining of a 7A52 aluminum alloy heat machine with a numerical simulation method all the time, improves the accuracy of 7A52 aluminum alloy thermal elastoplastic deformation simulation, lays an important basis for confirming a 7A52 aluminum alloy hot working process and studying a metal plastic deformation theory, and has an important significance for practical application of 7A52 aluminum alloy.

The invention relates to the field of estimating power battery parameters and states, in particular to a method for estimating the power battery capacity and charge state based on data model fusion. In order to improve the estimation precision of the power battery charge state of an electric vehicle, the invention provides the method for estimating the power battery capacity and charge state based on the data model fusion, and the method comprises the steps of carrying out an aging experiment for a power battery, obtaining a three-dimensional response surface relation formed by the open-circuit voltage, charge state and available capacity of the power battery at different aging degrees, establishing an equivalent circuit model for the power battery, inputting the actual measurement end voltage and charge and discharge currents of the power battery into a model equation of the power battery, identifying model parameters of the equivalent circuit model of the power battery and the maximum available capacity and a charge state initial value of the power battery, and estimating the charge state of the power battery. The method of the invention can be used for estimating the capacity and charge state of the power battery at different aging degrees, and is high in practicality and estimation precision.

A battery state estimating unit estimates an internal state of a secondary battery according to a battery model equation in every arithmetic cycle, and calculates an SOC based on a result of the estimation. A parameter characteristic map stores a characteristic map based on a result of actual measurement performed in an initial state (in a new state) on a parameter diffusion coefficient and a DC resistance in the battery model equation. The parameter change rate estimating unit estimates a DC resistance change rate represented by a ratio of a present DC resistance with respect to a new-state parameter value by parameter identification based on the battery model equation, using battery data measured by sensors as well as the new-state parameter value of the DC resistance corresponding to the present battery state and read from the parameter characteristic map.

The invention discloses a TRMM (Tropical Rainfall Measuring Mission) satellite rainfall product downscaling method based on M5-Local and a multi-environmental factor variable. An M5-Local regression thought is adopted, and a plurality of environment stress factors with high spatial resolutions are fully utilized to improve the spatial resolution of the product. Firstly, 1km environmental variable factors, such as eight pieces of data including a vegetation index, a digital elevation model, a daytime surface temperature, a night surface temperature, a terrain moisture index, a gradient, a slope aspect and a slope length gradient, are subjected to aggregate calculating to obtain 25km which serves as an independent variable, corresponding 25km-resolution TRMM data is used as a dependent variable, an M5-Local method is adopted for modeling, the intercept of a regression modeling equation of 1km spatial resolution and a slope parameter corresponding to each environment factor variable are predicted, and a 1kmTRMM rainfall value is calculated. A downscaling result based on an M5-Local model is obviously superior to a downscaling result of a conventional regression model.

Methods for calibrating tunable lasers. Various operational characteristics of a tunable laser, such as an external cavity diode laser (ECDL), are modeled using corresponding modeling equations. Corresponding calibration processes are performed for each operational characteristics to derive parameters corresponding to each modeling equation. In one embodiment, the calibration processes relate to calibration of resistive thermal devices (RTDs), wavelength calibration, power vs. gain medium current (PI) curve calibration, and output power calibrations. The corresponding parameters that are derived from the calibration processes are stored on-board the tunable laser. During laser operations, firmware instructions are executed to perform tuning functions employing the stored parameters.

The invention provides an electro-thermal simulation method for FS (Field Stop) type IGBT (Insulated Gate Bipolar Transistor) transient temperature characteristic. An FS type IGBT switching transient working process is actually tested and is analyzed by being combined with an IGBT working principle and a semiconductor physical principle to determine that the IGBT transient temperature characteristic is mainly influenced by life of internal excess carrier, so that the electro-thermal simulation method is established. The method comprises the following steps of: actually testing carrier life values extracted at different temperatures to acquire a relational expression of the carrier life and temperature; calculating through an empirical value formula to acquire a relational expression amongthreshold voltage, transconductance, emitter saturation and current as well as the temperature; and adding temperature related parameters into an FS type IGBT current tailing stage current analyticalexpression and a switching transient model equation set and calculating to acquire transient working waveform of the FS type IGBT at different temperatures. The electro-thermal model simulation method provided by the invention simultaneously has the advantages of simple parameter calculation and high accuracy.

A semiconductor processing apparatus for processing a semiconductor wafer includes a sensor for monitoring a processing state of the semiconductor processing apparatus, a processing result input unit which inputs measured values for processing results of a semiconductor wafer processed by the semiconductor processing apparatus, and a model equation generation unit relying on sensed data acquired by the sensor and the measured values to generate a model equation for predicting a processing result using the sensed data as an explanatory variable. The apparatus includes a processing result prediction unit which predicts a processing result based on the model equation and the sensed data, and a process recipe control unit which compares the predicted processing result with a previously set value to control a processing condition. The process recipe control unit includes a controller which controls at least one among a plurality of different processing performances for processing of the semiconductor wafer.

A lane recognition image processing apparatus can improve lane marking recognition performance by preventing false detection by addition of a condition without changing the basic principle of an one-dimensional image filter. A search area is set for each lane marking with respect to images stored in a image storage part through a window. A candidate point extraction part extracts candidate points of each lane marking from the search area thus set. A lane marking mathematical model equation is derived by approximating sets of extracted candidate points by a mathematical model equation. The candidate point extraction part includes a kernel size setting part, a filtering part that outputs, as a filtering result, the smaller of differences between the gray value of a pixel of interest and those of pixels forwardly and rearwardly apart a kernel size from the pixel of interest in a scanning direction, respectively, and a binarization part that binarizes the filtering result.

The invention discloses a method for determining an optimal floor heating operation condition of an air source heat pump based on energy conservation. All conventional methods have the problem that the energy cannot be saved enough and is wasted. The method considers the influence of the environmental temperature, the water supply temperature and the circulating water mass flux on a system, and comprises the steps of creating a heat balance model of floor heating, creating an energy efficiency ratio and power consumption model of the heat pump, creating an energy consumption model equation of floor heating water circulation, creating a total optimization model, and optimizing by the models to obtain optimal control parameters for enabling the system to run at an optimal working point. According to the method, the running energy consumption of the system can be reduced, so that the purposes of reducing the running cost, saving energy and reducing emission are achieved.

The invention discloses a modeling method for an unmanned aerial vehicle (UAV) dynamic emergency collision avoidance area. The modeling method can be used for establishing an emergency collision avoidance area envelope when the UAV meets an intrusion aircraft. The method comprises the following steps of: firstly judging whether flight conflict is present between the UAV and the intrusion aircraft through a conflict detection algorithm, determining a power-driven of UAV emergency collision avoidance according to the flight course of the intrusion aircraft if the flight conflict is present between the aircrafts, establishing a UAV dynamic emergency collision avoidance area model equation by analyzing the emergency collision avoidance power-driven process, and obtaining the emergency collision avoidance area boundary value and the required collision avoidance power-driven time by resolving the model equation. According to the method, the flight information of the intrusion aircraft is acquired in real time, so that the UAV emergency collision avoidance area is dynamically established. The method can provide dual reference information, namely the shortest collision avoidance distance and the required collision avoidance power-driven time, and the collision avoidance success rate is guaranteed to the greatest degree; and moreover, the collision avoidance area envelope area is reduced, unnecessary airspace waste and collision avoidance power are avoided, and the method has high real-time property.

A road recognition apparatus estimates road parameters of a road model equation by processing a forward road image of a vehicle. A processor sets a series of windows along a road white line (or lane marker) on the forward road image, and calculates a candidate straight line segment likely to be a white line in each window. The processor further checks an accuracy in position of a candidate white line in each window. The processor estimates the road parameters from the image coordinates of the candidate white line in each or the window higher in the accuracy, and estimates the road parameters exclusive of a vehicle lateral displacement from the gradient of candidate white line in each or the window lower in the accuracy.

The invention discloses a control method for rehabilitation training of a lower extremity exoskeleton rehabilitation robot. The control method comprises the following steps: modeling the lower extremity exoskeleton rehabilitation robot to obtain a model equation, re-constructing a self-adaptive controller and a control rate calculating formula, wherein undetermined control gain parameters are obtained by pre-training; then, practically measuring rotation angles and rotation speed of knee joints and a hip joint of the lower extremity exoskeleton rehabilitation robot; finally, substituting the practical parameters into the self-adaptive control rate calculating formula to obtain a self-adaptive controller a moment t, wherein a drive device applies acting force to the lower extremity exoskeleton rehabilitation robot according to a self-adaptive control rate.

The invention provides a method and a device for detecting the insulation aging state of oil-paper insulation electric power equipment. The method includes the steps: detecting a real part epsilon' and an imaginary part epsilon'' of the complex dielectric constant of oil-paper combination insulation of the oil-paper insulation electric power equipment; fitting the detected complex dielectric constant by the aid of a double relaxation Cole-Cole model equation to extract characteristic parameters representing the oil-paper insulation polarization process from the complex dielectric constant; and judging the aging state of the oil-paper insulation electric power equipment according to the characteristic parameters. By the method and the device for detecting the insulation aging state of the oil-paper insulation electric power equipment based on a double relaxation Cole-Cole model, the aging state of oil-paper insulation can be analyzed without suspending cores, damaging insulation materials or sampling, and reliable basis is provided for accurately evaluating the insulation performance of the oil-paper insulation electric power equipment and forecasting remaining life.

Provided is a high-accuracy signal judgment method for noise or vibrations of a living environment. Provided is a signal judgment method associated with noise or vibrations of a living environment. The signal judgment method includes: inputting, into a model equation of a to-be-measured / analyzed target, unknown data; and obtaining an output value as a probability value of whether the unknown data is a to-be-measured / analyzed target. The model equation of the to-be-measured / analyzed target is created with the use of measured already-known data. The model equation is created by prediction model equation calculation means. Incidentally, a logistic regression equation can be used as the prediction model equation.

An apparatus and method provides prediction of BER for an interface between ICs, such as a processor and a memory device, without using special test equipment. A known data pattern or PRBS is transmitted to a receiver, which compares the received data values with expected data values to determine if a bit error has occurred in an embodiment of the present invention. A center of data eye and the edge of the data eye are sampled (over sampled) in order to determine if a bit error has occurred in an alternate embodiment of the present invention. A first counter is used to count the total number of bits sampled and the second counter is used to count the number of errors that occurred in the total number of bits sampled. In an embodiment of the present invention, the first and second counters are logarithmic counters that include overflow protection. The counter values are output to a processing device to perform the BER calculation in an embodiment of the present invention. A plurality of BER values is then obtained for corresponding offsets. A subset of the plurality of BER values corresponding to the plurality of offsets is selected. An inverse of the standard normal cumulative distribution (NormSlnv) function for respective BER values is calculated. Two linear fits on the transformed BER values and offsets are performed to obtain the x-intercepts that correspond to a DJ component and the slopes corresponding to a RJ component. The DJ and RJ components are used with the Fibre Channel jitter model equation to predict BER as a function of transition density and offset value.

The invention relates to an airborne SAR image automatic target positioning method, which convert the coordinates of a target in the SAR image into an actual geographic coordinates of the target on the earth by utilizing the flight information (location, speed, etc.) of an aerial carrier and the SAR image information (resolution, center distance, central Doppler frequency, etc.). Based on a range-Doppler equation, the invention combines an earth model equation to carry out an target location, which not only can realize an absolute localization without a control point, but also considers the influence of the earth model on positioning accuracy; on the other hand, Taylor series expansion is used for carrying out the linearization of nonlinear equations; an iterative method is adopted to solve the equation, thus improving the positioning speed; meanwhile, the initial value point of an iterative computation is appropriately selected according to the operation mode of radar, thereby controlling a converging direction in the iteration and avoiding a target confusion. As a positioning method without the control point, the automatic target positioning method of the invention has the advantages of high accuracy and high speed, thereby being capable of carrying out a real-time processing and suitable to various airborne SAR systems.

The invention discloses a modeling method for a 38-lumping continuous reforming device reactor. The modeling method comprises the following steps of: 1) subdividing a reaction material into 38 lumping components; 2) constructing a reforming reaction network comprising 86 reactions; 3) building a reforming reaction dynamical model equation group on the basis of the reaction network by combining a reactor structure; 4) accumulating an influence of catalyst inactivation to estimation of each reforming reaction dynamical parameter, determining 86 model parameters, and estimating the model parameters by adopting a method combined with a gradient descent method and a broyden fletcher goldfarb shanno (BFGS) variable scale optimization algorithm based on an industrial data sample. On the basis ofa dynamic mechanism of reforming reaction, the precision of a reforming model is improved by fully using an advanced computer technology and a test analysis condition and the simulation of a reforming device is closer to the actual reaction, so that an instruction having a practical significance is provided for eliminating the production bottleneck and optimizing each operating parameter, and theeconomic benefit of the device can be enhanced.

The invention discloses an experimental table for measuring mounting rigidity and damping of a sealing ring. The experiment table comprises a base, wherein a bottom plate is connected to the base; a supporting column is connected to the bottom plate; an actuating vibration table is connected with the supporting column; a positioning circular ring is rigidly connected with the actuating vibration table; a supporting ring is fixed on the positioning circular ring; a measured sealing ring is mounted in a groove inside the supporting ring; a quality loop is flexibly mounted on the measured sealing ring and forms clearance fit with the supporting ring; the supporting ring is connected with a sensor mounting plate; a function generator is connected with the actuating vibration table through a power amplifier; a high-pressure fluid sub system is connected with the supporting ring; two laser displacement sensors mounted on the sensor mounting plate are connected with a computer through a controller; by resolving a forced vibration model equation caused by supporting excitation of the quality loop and the supporting ring, the rigidity and damping parameters of the measured sealing ring are obtained. The experiment table can be used for researching the rigidity and the damping parameters after the sealing rings which are of different diameters and made from different materials are mounted under different pre-compression amount.

An integrated circuit (IC) includes multiple embedded test circuits that all include a ring oscillator coupled to a test load. The test load either is a direct short in the ring oscillator or else is a interconnect load that is representative of one of the interconnect layers in the IC. A model equation is defined for each embedded test circuit, with each model equation specifying the output delay of its associated embedded test circuit as a function of Front End OF the Line (FEOL) and Back End Of the Line (BEOL) parameters. The model equations are then solved for the various FEOL and BEOL parameters as functions of the test circuit output delays. Finally, measured output delay values are substituted in to these parameter equations to generate actual values for the various FEOL and BEOL parameters, thereby allowing any areas of concern to be quickly and accurately identified.

The invention belongs to the battery identification and estimation field, and specifically relates to a method of estimating SOC (State of Charge) and impedance of a lithium battery on line. The method of estimating SOC and impedance of a lithium battery on line can improve the accuracy of a batter model equation so as to improve the accuracy of the Kalman filtering algorithm, by adding the impedance parameters, such as the direct current impedance, the polarized capacitance and the polarized resistance of the lithium battery, into the battery model equation, and can optimize the deficiency that the accuracy of the traditional Kalman filtering algorithm depends on the model accuracy. And at the same time, the method of estimating SOC and impedance of a lithium battery on line enables the dynamically changed impedance parameters to participate in every SOC estimation process, so that the estimated value of the battery residual electric quantity can have higher accuracy. At last, the method of estimating SOC and impedance of a lithium battery on line can obtain the reference value of the current healthy state for the lithium battery by referring to the corresponding battery electrochemistry impedance spectrum, thus being conductive to assisting the user to preferably master the current service life of the lithium battery by estimating the impedance parameters obtained through real time estimation. The method of estimating SOC and impedance of a lithium battery on line can realize high accuracy of estimating SOC and the service life of the lithium battery on line.

The invention relates to a numerical simulation method in the engineering field such as environment, water conservancy and the like and discloses a high-precision difference method with strong universality for series typical model equations suitable for solving problems of flow and heat-mass transfer of various fluids, in particular the problem of transport diffusion. Aiming at the defects that conventional limited difference format of the prior water environment simulation only has low one-order or two-order precision, while the prior multi-step differential equal-high precision method generally relates to a lot of grid points, has over complex construction mode and is most based on quite regular even rectangular meshes, and the like, the invention provides a high-precision difference method under an uneven mesh. The method adopts an indeterminate coefficient method to determine an influence coefficient between a point to be solved and an adjacent point in a difference equation so that the difference format reaches maximum-order precision under the mesh structure. Because the difference format is constructed by adopting an uneven grid system, the density of the mesh distance can be flexibly adjusted according to the size of the variation gradient of physical quantity to be solved, and the simulation precision and efficiency are effectively improved.

The invention discloses an automatic sorting correction method based on shape characteristics for analytical processing of a flow cytometer. The method comprises the following steps: classifying and processing by an automatic sort algorithm to obtain a boundary curve of each cell according to scatter diagram data analyzed by flow cytometry; selecting a curve model equation to fit the boundary curves of each blood cell; computing standard curve parameters obtained by fitting; and comparing the standard parameters with pre-counted parameter empirical scope, judging whether the sort algorithm result is right and prompting. In the automatic sorting correction method based on the shape characteristics, a judgment mode of fitting curve parameters is adopted to compare with the pre-counted parameter empirical scope for correction, thus facilitating counting and graphic processing of cell detection data in the process of flow cell detection with more accurate processing result, and also facilitating the elimination and alarm processing of wrong detection results.