38 results about "Analytic relation" patented technology

The present invention provides a model for assessing performance of a dynamic collaborative relationship. The present invention provides a method of modeling dynamic relationships by inputting data related to the collaborative relationship into a model, which comprises a plurality of components key to the collaborative relationship. Each of these components is interrelated with the model, and the model generates a value indicative of a condition or performance of the relationship. The relationship value can be analyzed by comparison with baseline values correlated to exemplary collaborative relationships. The present invention further provides methods of developing a model capable of assessing dynamic collaborative relationships.

The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.

A taxonomy reference model for use in an analytical modeling component. The analytical modeling component defines analytical relationships between the model parameters using analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). An analytics taxonomy categorizes the analytics relations into analytics categories. This analytics taxonomy may be domain-specific. Also, if the analytics drive visuals, the visuals could be taxonomized as well. If the analytics is driven by data, the data could also be taxonomized.

Visual items may each be constructed and placed in position using logic defined by a view component corresponding to each visual item, where that logic may depend on one or more values populated into parameter(s) of the view component. Some of those parameter values may correspond to known model parameter values. Others, however, may have been solved for using a model that defines analytical relationships between the model parameters. In one embodiment, which of the model parameters are known, and which are unknown, may not be predetermined. Accordingly, a solver might be prepared for multiple solve operation paths even using a single model. The view composition process may be entirely data-driven, with the solve and / or the visual items implemented using spreadsheets.

The invention provides a method for implementing the automatic data exchange of an information system, on the basis of analyzing relation data model and XML model, building their mapping model, defining basic mapping functions, and building a library of mapping functions; on the basis of analyzing relation database schema and data exchange demand, according to the XML model, defining XML schema, and according to the mapping model, determining the mapping relation between relation data schema and XML schema, selecting the basic mapping function from the library of mapping functions to build mapping schemata. As some event occurs or a certain time arrives, a flip-flop triggers a data exchange engine, which firstly reads the tasks and attribute of the flip-flop, then according to them, reads the corresponding mapping schema and finally executes specific data exchange to convert source data to target data so as to implement data exchange.

A solver framework for use with an analytical model. The analytical model includes multiple model parameters and includes definitions for analytical relationships between the model parameters. The solver framework coordinates the processing of multiple specialized solvers. In particular, the solver framework identifies which model parameters are input model variables and which are output model variables. The solver framework then analyzes dependencies to determine a solve order to solve for the output model variables. The solver framework then charged the specialized solvers with performing portions of the solve operation such that the specialized solvers solve for the output model variables in an order which considers the dependencies. In one embodiment, additional or replacement solvers may register with the solver framework to thereby make the specialized solver available for solving for output model variables in the future.

Embodiments relate to a method to dynamically generate a user interface for computing a prediction on analytical models. The analytical models received from a computing device are parsed by a processor of a server to extract a plurality of analytical metadata and the extracted plurality of analytical metadata is stored in a set of metadata tables. Analytical relationship information from the one or more analytical models is extracted for scoring using the stored plurality of analytical metadata and is stored in a set of relationship tables created by the processor. The user interface is generated using the stored plurality of analytical metadata and displayed on computing device for receiving one or more inputs for each of the data entry fields from a user. The prediction is computed by applying the stored analytical relationship information on the received one or more inputs and displaying the computed prediction on the user interface.

Analyzing performance data from a relational database to discover poorly performing SQL statements includes creating event records of performance data for query statements executed by a relational database management system, and condensing the performance data in the event records. A performance summary can be generated for each condensed event record. The performance summaries can then be analyzed based on performance characteristics to identify poorly performing SQL statements.

Solving for output variable(s) of a model that includes multiple analytically related model variables. The identity of the output model variables and the analytical relationships between the model variables are separately designated. Regardless of the identity of the output variable(s), a solver framework interprets the analytical relationships and solves for the designated output variable(s). The output model variable(s) may be designated separately than the analytical relationships themselves. By simply changing the designation of the output model variable(s), the analytical relationships are reevaluated, and the output variable(s) are solved for. The solver framework itself stays the same regardless of the identity of the output model variable(s).

The present invention provides a model for assessing performance of a dynamic collaborative relationship. The present invention provides a method of modeling dynamic relationships by inputting data related to the collaborative relationship into a model, which comprises a plurality of components key to the collaborative relationship. Each of these components is interrelated with the model, and the model generates a value indicative of a condition or performance of the relationship. The relationship value can be analyzed by comparison with baseline values correlated to exemplary collaborative relationships. The present invention further provides methods of developing a model capable of assessing dynamic collaborative relationships.

The invention discloses an analysis method applicable to a diversified BIM modeling software interface. The method includes the following steps that template data is acquired, an EXCEL file is opened, engineering major classification names, group names, display name information and relation numbers are obtained, and a DATASET is returned; the template data is processed, according to the DATASET, relation number fields are analyzed to obtain engineering group conditions and the hierarchical relation of groups according to the Huffman coding, and a dictionary dataset is generated; a Revit software customized interface is generated, that is, the dictionary dataset is traversed when a system runs, components are selected, and a final operation interface is generated. By means of the analysis method applicable to the diversified BIM modeling software interface, industrial design personnel are guided to quickly and correctly construct a BIM model, the defects that BIM model building is inconvenient and mistaken operations are likely to happen in the engineering industries like tunnel engineering and rail traffic engineering is overcome.

Solving for output variable(s) of a model that includes multiple analytically related model variables. The identity of the output model variables and the analytical relationships between the model variables are separately designated. Regardless of the identity of the output variable(s), a solver framework interprets the analytical relationships and solves for the designated output variable(s). The output model variable(s) may be designated separately than the analytical relationships themselves. By simply changing the designation of the output model variable(s), the analytical relationships are reevaluated, and the output variable(s) are solved for. The solver framework itself stays the same regardless of the identity of the output model variable(s).

The invention discloses a method for regulating voltage of key node of grid polymerization based on measurement of a phasor measurement unit in a wide-area environment. The method is characterized by comprising the following steps: analyzing a relation between voltage vectors and current vectors of nodes, analyzing a relation between the voltage vectors of the nodes and power, regulating voltage of the key node of a polymerization grid in the wide-area environment, and solving a key node voltage regulating model by a nonlinear least square method. According to the method, the analytic relation between the voltage vectors of the nodes and the power is obtained by virtue of the relation between the voltage vectors and the current vectors of the grid nodes; the definition of grid polymerization and a regulation relation between the voltage vectors of the nodes and the power are obtained on the basis of the analytic relation in the wide-area measurement environment; a regulation equation for grid polymerization to the key node is further obtained without taking an out-of-limit power transmission circuit trend into account. The method is scientific and reasonable as well as simple and feasible, and is accurate in regulation, high in applicability and suitable for simplified analysis, on-line monitoring and real-time control of the grid.

A taxonomy reference model for use in an analytical modeling component. The analytical modeling component defines analytical relationships between the model parameters using analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). An analytics taxonomy categorizes the analytics relations into analytics categories. This analytics taxonomy may be domain-specific. Also, if the analytics drive visuals, the visuals could be taxonomized as well. If the analytics is driven by data, the data could also be taxonomized.

The invention belongs to the technical field of oil development and provides a method for predicting the water-flooding development oil field output decline rate. An oil-water relative permeability curve is adopted to describe the analytic relation between output decline rate and recovery percent in production. The prediction method has high precision and reliability.

The invention relates to a method for calculating a droop coefficient of a flexible DC power grid converter station. The method comprises the steps of defining a generalized power sharing coefficient, selecting a preset common reference end, and using a DC voltage as a common voltage reference signal of a droop control station; expanding a steady-state working point of a VSCi-end active power balancing relation before DC network interference according to one-order Taylor's series, and writing a matrix form; calculating a linear analytic relation between a DC voltage change amount and a power step amount of a random converter station end in a system; calculating a least square problem of a generalized power sharing coefficient vector T for obtaining an optimal solution of the generalized power sharing coefficient vector T, and calculating the droop coefficient of each droop control station.

The invention discloses an indirect torque control cage type rotor brushless double-fed motor reactive power control method. The control method is a cage type rotor brushless double-fed motor reactive power, rotation speed and torque control method, particularly an analytic relation between reactive power and a control winding magnetic linkage, as well as a reactive power control structure constructed on the foundation of a cage type rotor brushless double-fed motor indirect torque control system. The control method solves a control problem of reactive power in the brushless double-fed motor indirect torque control. The control system only needs resistors of two stator windings, the required motor parameters are less, the transformation of rotational coordinates is not needed, the control system is provided with a torque internal ring and can realize current amplitude limit; and the control of the cage type rotor brushless double-fed motor reactive power, an electrical torque and a magnetic linkage is realized under an alpha beta rest frame. The control method is simple and the effect is obvious.

A process updates a status of relation between objects in a system of computer-aided design, for subsequent analysis of status of relation. The process identifiesa set of data of a group of objects, preferably a pair of objects;a method of computation of relations between objects; andan expected relation of executing the method identified using the set. Next the process executes the method using the set of data to compute a relation. A comparison step compares the expected relation with the computed relation. The process updates a status of the expected relation based on a result of the comparing step.

The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.

Visual map items may each be constructed and placed in position using logic defined by a map view component corresponding to each visual item, where that logic may depend on one or more values populated into parameter(s) of the map view component. Some of those parameter values may correspond to known map model parameter values. Others, however, may have been solved for using a model that defines analytical relationships between the map model parameters. In one embodiment, which of the map model parameters are input variable, and which are output model variables, may not be predetermined. Accordingly, a solver might be prepared for multiple solve operation paths even using a single model. The map view composition process may be entirely data-driven, and may include a mechanism for canonicalizing input data, and binding canonicalized input data to the model parameters.

The invention relates to a zoning-based combined approximate model building method which has high adaptability to unknown linear and nonlinear problems. The zoning-based combined approximate model building method is characterized in that a combined approximate model is built under the condition that the input values and the output values of a certain number groups are given to approximate the input and output analytic relation of a system, and the output of the system is forecasted under the condition that the input of the system is given. The zoning-based combined approximate model building method is mainly applied to approximation of the functional relation between optimization objectives and variables during optimal design. As for the problem that the strong linear or nonlinear features of local areas cannot be well captured because traditional approximate models adopt modeling on the whole test area, the concept of modeling by dividing the whole test area is adopted. On one hand, the precision forecasting advantage of the combined approximate model to a single approximate model is utilized, and on the other hand, the purpose of improving the forecasting precision to the local area is achieved, so that the overall forecasting precision of the model is improved. Therefore, the computing time and resources, consumed by iterative optimal solution solving, can be greatly shortened and reduced in the optimization process.

The invention relates to a spacecraft high-precision angular motion measuring method based on rotor-type gyroscope biorthogonal configuration, and belongs to the technical filed of inertial navigation. An analytic relation including the posture angular rate and angular acceleration information of a spacecraft is obtained by utilizing resultant external moment radially borne by a gyroscope rotor, under the situation that an inertial coupling item and a cross coupling item caused by spacecraft angular motion are not neglected, the inertial coupling item and the cross coupling item are eliminatedthrough information fusion operation of a plurality of gyroscopes in the biorthogonal configuration, and thus the analytic relation including the angular rate and the angular acceleration of the spacecraft is obtained in a combined mode. Due to the fact that the inertial coupling item and the cross coupling item are reserved, the measuring precision of the spacecraft high-precision angular motionmeasuring method only depends on a gyroscope error and a configuration mounting error and is not lowered with increasing of the dynamic range of the spacecraft. According to the spacecraft high-precision angular motion measuring method, the prominent contradiction between the measuring precision and the dynamic range in a traditional posture angular rate and angular acceleration measuring methodis effectively overcome. The spacecraft high-precision angular motion measuring method can be applied to high-precision and high-bandwidth measuring of the angular rate and the angular acceleration ofthe spacecraft.

The invention relates to a Gaussian filtered minimum shift keying (GSMK) digital demodulation error metering method and a system. The metering method comprises the steps of: 1) taking a phase modulation (PM) signal as a standard GSMK signal; 2) setting 0.5Rs difference value delta f by setting the modulation frequency and standard of the PM signal, and setting the capture length N of a vector signal analyzer at the same time, wherein the N and the delta f satisfy a certain constraint relation; 3) establishing an analytic relation between the frequency parameter delta f and a modulation error parameter; and 4) comparing the calculable digital modulation error parameter with a value measured by the vector signal analyzer to realize the metering and calibration of a GMSK demodulation error parameter. The metering system provided by the invention comprises an analog signal generator, a power divider, a tunable receiver and a measured vector signal analyzer. The method and the system provided by the invention can be used for metering and calibrating the digital demodulation errors of vector signal analyzers and mobile communication comprehensive testers with a GMSK analysis and demodulation function, and can be widely used.

The present invention discloses a method of predicting service life of a power cell based on big data. Parameter big data of the same type of the power cell are measured randomly under a different depth of discharge, a different temperature and a different rate of discharge. Big data analysis is performed on the parameter big data to obtain an analytic relation of the big data. Current big data are measured by a voltage-current sensor, simultaneously an improved Amp-hour integral method is adopted to obtain a State of Charge (SOC) and the depth of discharge is obtained from the relation withthe sum of the depth of discharge and the SOC being 1. Under a different depth of discharge, the throughput of one charging and discharging of the cell is equivalently deemed as an equivalent throughput. According to the equivalent throughput and a rated throughput, the residual service life of the cell can be calculated. The prediction method of the present invention, from characteristics of thepower cell, corrects the throughput of an effective charging and discharging with regard to the depth of discharge, an ambient temperature and the size of discharging current. Meanwhile, according tothe characteristics of the power cell, the method optimizes test of an initial SOC, thereby making a prediction result more accurate.

A solver framework for use with an analytical model. The analytical model includes multiple model parameters and includes definitions for analytical relationships between the model parameters. The solver framework coordinates the processing of multiple specialized solvers. In particular, the solver framework identifies which model parameters are input model variables and which are output model variables. The solver framework then analyzes dependencies to determine a solve order to solve for the output model variables. The solver framework then charged the specialized solvers with performing portions of the solve operation such that the specialized solvers solve for the output model variables in an order which considers the dependencies. In one embodiment, additional or replacement solvers may register with the solver framework to thereby make the specialized solver available for solving for output model variables in the future.

A process updates a status of relation between objects in a system of computer-aided design, for subsequent analysis of status of relation. The process identifiesa set of data of a group of objects, preferably a pair of objects;a method of computation of relations between objects; andan expected relation of executing the method identified using the set.Next the process executes the method using the set of data to compute a relation. A comparison step compares the expected relation with the computed relation. The process updates a status of the expected relation based on a result of the comparing step.

The invention discloses a method for generating a safe launching window of a weak-gravitation small celestial body surface lander, and belongs to the technical field of deep space exploration. The implementation method comprises the steps of: firstly, defining a landing point tangent normal coordinate system of a small celestial body, and deriving the analytical relation among the launching state,the landing state and the landing time of a lander near the small celestial body; secondly, establishing a launching constraint meeting the safety rising requirement of a main detector and a landingconstraint meeting the safety landing requirement of the lander on a tangent system, and defining a launching window; then, deducing a two-dimensional projection boundary analytic expression of a window of the landing speed constraint on a two-dimensional plane according to the landing dynamics analytic relation and the launch landing constraint; and finally, designing evaluation indexes representing landing safety to obtain a safe launching window with index distribution. The generated safe launching window can provide a basis for rapid selection of the launching state of the lander, and thelanding safety and the landing success rate are improved.

Analytical relationships that are not explicitly defined in the schema or not provided by the user can be identified using a corpus of information describing the queries used to access the transactional data store. Associative relationships may be identified based on field coincidence in query elements in the corpus. Join relationships can indicate dimensions and attributes of dimensions. Hierarchical levels of dimensions can be identified based on factors including data types, references in summary clauses, and references in grouping clauses.