318 results about "Response model" patented technology

Structural parameters of a specimen are determined by fitting models of the response of the specimen to measurements collected by different measurement techniques in a combined analysis. Models of the response of the specimen to at least two different measurement technologies share at least one common geometric parameter. In some embodiments, a model building and analysis engine performs x-ray and optical analyses wherein at least one common parameter is coupled during the analysis. The fitting of the response models to measured data can be done sequentially, in parallel, or by a combination of sequential and parallel analyses. In a further aspect, the structure of the response models is altered based on the quality of the fit between the models and the corresponding measurement data. For example, a geometric model of the specimen is restructured based on the fit between the response models and corresponding measurement data.

There is provided an actuator control device for force-controlling a joint driving actuator according to a commanded joint force command value τ_a. The actuator control device includes a joint value detecting means for detecting a joint value q at an output stage of the actuator, an action force detecting means for detecting an action force τ_e in a joint driving direction at the output stage of the actuator, and a driving force determining means for determining an instructed driving force τ to the actuator, on the basis of an ideal response model of the actuator which specifies the relationship of a joint value acceleration target value achieved as the actuator responds ideally when the joint force command value τ_a, the action force τ_e, and a joint value velocity obtained by time-differentiating the joint value q are given.

A method for determining fracture geometry of a subterranean formation from radiation emitted from a fracture in the formation, including measuring gamma-radiation emitted from the fracture; subtracting background radiation from the measured gamma-radiation to obtain a peak-energy measurement; comparing the peak-energy measurement with a gamma-ray transport/spectrometer response model; and determining formation fracture geometry of the fracture in accordance with values associated with the response model.

Structural parameters of a specimen are determined by fitting models of the response of the specimen to measurements collected by different measurement techniques in a combined analysis. X-ray measurement data of a specimen is analyzed to determine at least one specimen parameter value that is treated as a constant in a combined analysis of both optical measurements and x-ray measurements of the specimen. For example, a particular structural property or a particular material property, such as an elemental composition of the specimen, is determined based on x-ray measurement data. The parameter(s) determined from the x-ray measurement data are treated as constants in a subsequent, combined analysis of both optical measurements and x-ray measurements of the specimen. In a further aspect, the structure of the response models is altered based on the quality of the fit between the models and the corresponding measurement data.

In some embodiments, an apparatus and a system, as well as a method and an article, may operate to acquire input data to determine properties of a formation, using a combination of down hole transmitters and receivers, to select a portion of the input data using a formation model chosen from a plurality of down hole tool response models in a formation model database, based on a valid sensitive range for the bed boundary distance and a greatest signal-to-noise ratio (SNR), and to solve for at least resistivity formation parameters in the properties using the chosen formation model and the selected portion of the input data. The database may be updated with boundary distance and the resistivity formation parameters. Additional apparatus, systems, and methods are disclosed.

The invention relates to a regional energy internet multi-source coordinated optimization operation strategy considering time-of-use power price. The strategy is technically characterized by comprising the following steps that step 1, the initial data parameter of a regional energy internet system is inputted; step 2, cold/heat/electric flexible load response under the time-of-use power price is analyzed, and two classes of response models of cold/heat/electric flexible load are constructed; step 3, a regional energy internet system optimization scheduling model of the minimal economic cost and the operation constraint conditions thereof are constructed; and step 4, the regional energy internet system optimization scheduling model of the minimal economic cost is solved by using a Hessian interior point method. The regional energy internet renewable energy consumption level can be enhanced, and the strategy is also significant for realizing economic and safe operation of the system.

The invention discloses a multiple-working-condition hydraulic design method for a guide vane type centrifugal pump. The multiple-working-condition hydraulic design method for the guide vane type centrifugal pump mainly comprises the following steps that specific speed solution is conducted on the design working conditions of the guide vane type centrifugal pump, and the design working condition with the specific speed as an intermediate specific speed is selected and designed; multiple-scheme design is conducted on an impeller and guide vanes through an experiment design method, and the CFturbo style is adopted; mesh generation is conducted on a model, numerical simulation is conducted on a scheme through CFX, the lift and the efficiency value are read, and function fitting is conducted between the lift and a flow; function fitting is conducted between the lift and the flow of a design parameter point, the coefficient of a fitting function is used as a design goal, input main geometrical parameters are used as input values, an approximate response model is established through the Kriging model, rapid computation is conducted on the approximate response model through a multiple-target genetic algorithm, and then the optimal value is obtained. By the adoption of the multiple-working-condition hydraulic design method for the guide vane type centrifugal pump, the requirement for multiple-working-condition hydraulic design of the guide vane type centrifugal pump can be met; the multiple-working-condition hydraulic design method for the guide vane type centrifugal pump can also be used for multiple-working-condition hydraulic design of other guide vane type centrifugal pumps.

The invention discloses a method for optimizing power utilization modes of residential users with orientation to demand response. The method comprises the following steps: building load response dynamic models comprising an air conditioner load response model, a water heater load response model and a lighting load response model of typical power utilization equipment of the residential users; determining a target function of a power utilization mode optimizing model by taking the minimum power utilization cost and highest power utilization manner satisfaction degree of the users as targets; building constraint conditions of the power utilization mode optimizing model, which comprise adjustable constraint of indoor temperature, the water temperature of the water heater and a lighting surface; solving the model by using a particle swarm algorithm combined with the grey theory to obtain state control variables of the air conditioner, the water heater and the lighting load in various time periods and determine the optimal operation manner of each power utilization equipment. The method is applied to optimization examples of different power utilization scenes of the residents and provides a specific reference scheme for the participation of the residential users in the demand response projects, thereby achieving the effects of meeting the power utilization demand, reducing the power utilization cost and optimizing the load peak.

The invention discloses an automated safety penetration test method, comprising: step 1, training an automated response model, establishing a corresponding model; step 2, scanning a target information system, obtaining host information; step 3, scanning vulnerability of the target information system, obtaining vulnerability information; step 4, according to the host information and the vulnerability information obtained in the step 2 and step 3, combined with an attack strategy library, establishing an attack model, according to the attack model, trying to attack the target information system, obtaining an attack feedback result; step 5, performing comprehensive analysis on a penetration test overall process, generating a penetration test report and teasing test steps and intermediate results, analyzing system security, providing a related solution; step 6, the response model updating in an adaptive manner, and regulating a response strategy.

A method of controlling a distillation column having control valves to control both reflux and the vapor rate within the column. In accordance with the present invention, a temperature sensed in a top section of the column is magnified and utilized within the model predictive controller so that control is more aggressive as temperatures increase beyond a threshold temperature. Additionally, in the distillation column, or in fact in any other system in which two or more manipulated variables control two or more common controlled variables, special modeling techniques are utilized to make controller tuning easier to accomplish. In such modeling techniques, each manipulated variable is assumed to be able to have an effect on a controlled variable by a single step response model and other step response models are utilized so that the other manipulated variable(s) that also would have an effect on the same controlled variable are taken into account by the controller as feed forward variables.

The invention discloses an emotion monitoring and early warning method and an emotion monitoring and early warning system. The method comprises the following steps: acquiring a user image, and conducting identity recognition on a user in accordance with the user image; monitoring user emotion in accordance with multi-modal input information of the user; and when the user emotion is abnormal, generating and outputting multi-modal output data in accordance with a preset abnormal emotion response model. With the application of the emotion monitoring and early warning method and the emotion monitoring and early warning system provided by the invention, interactive experience of the user with an intelligent robot is improved and the intelligence and user-friendly performance of the robot are enhanced so as to meet the increasing interactive demand of the user.

A method and system for evaluation of a hydrocarbon-bearing shale formation employs a data processing system that defines a response model that relates first data representing measured petrophysical properties of the shale formation at a given location to second data representing volume fractions for a particular set of formation components at the given location. The first data includes hydrogen index at the given location, and the particular set of formation components of the second data include a number of mineral components and a number of hydrocarbon-bearing components. The hydrocarbon-bearing components include at least one kerogen component. A computation solver processes the response model along with the first data to solve for the second data. The solved second data representing the volume fraction of the at least one kerogen component is processed to derive at least one ratio that is indicative of kerogen maturity at the given location.

The invention provides a reservoir wave impedance prediction method based on dipole wave, which comprises the following steps that: logging data is analyzed to acquire the corresponding parameter data of the seismic response characteristics of a reservoir; well seismic calibration is carried out according to the logging and seismic data so as to extract wavelets and determine the time-depth relationship; the seismic response characteristic wave function of impedance changes is constructed according to the parameter data, the wavelets and the time-depth relationship; the way integral characteristics of the logging data are extracted according to the seismic response characteristic wave function to form a seismic response model database; the seismic data beside a well is analyzed according to the seismic response model database to work out an impedance interpretation spectrum of the seismic data beside the well; a seismic trace is analyzed according to the seismic response model database to work out a data body wave impedance spectrum; and the wave impedance is predicted according to the seismic response model database, the impedance interpretation spectrum and the data body wave impedance spectrum. According to the reservoir wave impedance prediction method based on the dipole wave, the wave impedance of the reservoir is predicted through the seismic characteristics and wave impedance change rules based on the analysis to the logging data, so that the precision in predicting the wave impedance of the reservoir and the resolution to thin reservoirs are improved.

The invention relates to a method for formulating the seasonal time-of-use electricity price. The method comprises the steps of 1) preprocessing user load data, and performing seasonable time period division and peak-valley time period division on the load by adopting a clustering analysis method according to preprocessed user load characteristics; 2) building a user response model considering seasonal characteristics based on a demand price elasticity theory; building an optimization model by considering both a user side and a power supply side and taking the user power utilization expenditure, the power utilization habit satisfaction degree and the curve load rate as optimization objectives; and 4) solving a multi-objective function by adopting a fast non-dominated sorting genetic optimization algorithm with an elitist strategy and deviation sorting to obtain the comprehensively optimal electricity price. User load changes brought about by the seasonal characteristics are sufficiently considered in the electricity price formulating process, and a feasible method is provided for formulating the seasonal time-of-use electricity price.

The present invention discloses a crop irrigation water requirement calculation method on future climatic conditions. The method comprises the steps of collecting the future climatic mode data, and correcting the future climatic mode data based on the historical actually measured meteorological data to enable the future climatic mode data to be suitable for the climatic change influence evaluation of a region or station scale; according to the growth period data of a crop field test and an accumulated temperature formula, constructing a response model of the crop planting date and the crop growth period length to the temperature; utilizing a penman formula to combine a single crop coefficient method and a soil moisture stress coefficient to calculate the crop daily water requirement; based on a crop irrigation system and a water balance principle to calculate the crop daily irrigation water requirement. Aiming at the influence of the climatic change on the agricultural water resource security, the method of the present invention considers the change of the crop planting date and the growth period caused by the global warming, so that a water resource planning management department can forecast the regional future agricultural water resource utilization amount more accurately, and accordingly, a water resource planning scheme is proposed more reasonably.

The present invention discloses a method for aggregation potential assessment with load participating in demand response. The method comprises the following steps: the step 1) providing a user comfortdegree characteristic index to calculate a comfort degree index value of each load based on an input/output physical model of three types of family loads which are an air conditioner, a water heaterand an electric car; the step 2) taking into consideration influences of factors such as load running characteristics, a user comfort degrees, a user trip plan, a demand response rule and the like toestablish a load aggregation response model; and the step 3) employing an equivalent response power of a load colony in this period to represent the aggregation response potential in this period. Themethod provided by the invention can effectively assess the aggregation response capacity of an intelligent load colony so as to fully excavate the response potential of a load when a power grid generates emergency power vacancy and relieve pressure of first and secondary frequency modulation standby of a generator.

The invention discloses a method for establishing an earthquake response mode based on a fracture equivalent medium model, which belongs to the field of exploration geophysics. The method is characterized by comprising the following steps of: determining a relationship between fracture characteristic parameters and equivalent medium elastic parameters by quantificationally applying a fracture equivalent medium theory, establishing a constitution relation of a fracture network anisotropic equivalent medium model based on a Bond conversion and superposition principle, and placing the constructed fracture network equivalent medium model in an actual space position of strata, and establishing an actual stratigraphic fracture equivalent medium model; and establishing an earthquake response model of different tectonic positions and different lithologic fractured reservoirs by use of an earthquake wave field numerical simulation method. The method for establishing the fractured reservoir earthquake response mode based on the fracture equivalent medium model has strong practicability, and provides the basis for identifying the fractured reservoir from the prestack earthquake data.

The invention relates to a segmental counting-based relative radiation correction method comprising the following steps: acquiring original image data; determining segmental points and dividing the image into three brightness areas, including a low-brightness area, a medium-brightness area and a high-brightness area; performing histogram matching on the low-brightness area, the medium-brightness area and the high-brightness area respectively to obtain a corresponding brightness area lookup table of each probe element; and combining to obtain an integrated lookup table of each probe element and performing relative radiation correction on a satellite image. Aiming at the condition that integrating spheres in a lab are invalid, the method provides a method for effectively removing stripe noise of an image system and chromatic aberration of the system, so the lookup tables of different brightness areas are obtained through segmental counting according to the characteristic that the probe elements have different response models in different photoelectric response areas, error propagation in the counting process is reduced, the precision of the lookup tables is improved, the imaging quality of the image can be improved well, the algorithm has high efficiency, and the quasi-real time requirement of image production can be guaranteed timely.