71results about How to "Avoid iterative process" patented technology

A circuit analysis tool is provided, enabled with software instructions, for minimizing circuit crosstalk. The instructions provide a first circuit connected to an output mode, having a last gate with a plurality of inputs and an output. The instructions calculate a first circuit victim net delay range (timing window) having a minimum delay (Vmin) and a maximum delay (Vmax). A second circuit is provided having an output connected to the output node to supply an aggressor net delay range (A1) having a minimum delay (A1min) and a maximum delay (A1max). The aggressor net delay range at least partially overlaps the victim net delay range. Without increasing the value of Vmax (critical path timing), the first circuit victim net delay range is shrunk, thereby minimizing crosstalk between the first and second circuits without an increase in first circuit maximum signal delay.

The invention discloses a short text query expansion and indexing method based on a word vector. The short text query expansion and indexing method particularly comprises: A, pretreatment of corpus information of a short text; B, expression of every word in a corpus dictionary by the word vector through a training model; C, query extension; D, obtaining of a text candidate set through a query expansion word set and a BM25 index model; E, extraction of subject of the short text; F, calculation of the text vector of the short text; G, re-sequencing of the short text returned by a traditional indexing model. The short text query expansion and indexing method can more exactly and effectively satisfy the indexing demand of a user; moreover, the query expansion module can find out words capable of expressing user's intension according to the existing data so as to perform the query expansion.

A system for aiding report authoring is disclosed. The system comprises a set of associations (1), wherein an association links at least one first concept term in a knowledge domain with at least one second concept term in the knowledge domain, wherein the association indicates a frequent co-occurrence of the at least one first concept term and the at least one second concept term in reports in the knowledge domain. The system comprises a concept term extractor (2) for extracting at least one first concept term (6) relating to a particular subject from a data record (7) associated with the particular subject, the data record (7) comprising an at least partially completed report (5) relating to the particular subject. The system comprises a missing concept term finder (3) for finding at least one second concept term (11) linked to the at least one first concept term (6) based on the set of associations (1), wherein the at least one second concept term (11) is missing from the at least partially completed report (5).

Systems, methods, and computer storage media for handling failures in generating structured queries from natural language queries. One of the methods includes obtaining, through a natural language front end, a natural language query from a user; converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base, comprising: parsing the natural language query, analyzing the parsed query to determine dependencies, performing lexical resolution, forming a concept tree based on the dependencies and lexical resolution; analyzing the concept tree to generate a hypergraph, generate virtual query based on the hypergraph, and processing the virtual query to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query to the user.

The invention discloses a density-adaptive image salt-pepper noise switching filtering method, which comprises the following steps of: training a plurality of neural networks adaptable to the accurate detection of noise positions under certain noise densities by using training images with different noise densities; rapidly and roughly evaluating the salt-pepper noise densities of the images; selecting corresponding neural networks according to the evaluated salt-pepper noise densities to perform accurate noise detection on the images; and performing window-adaptive switch weighted mean filtering on the images according to the accurately detected noise positions. By the method, the magnitudes of the noise densities can be automatically judged, and the accurate noise detection can be performed by adopting the corresponding neural networks for the densities with different magnitudes.

The invention provides a geocoding method for spaceborne SAR images based on conversion of satellite topocentric coordinates. A relation of six coordinate systems among the satellite topocentric coordinates is used, and an observation visual angle (an intermediate variable) is skillfully used for finishing the high-precision rapid geocoding of the spaceborne SAR images on the premise of needing no iterative operation. Most of the traditional geocoding methods for the spaceborne SAR images need iterative operation, have low processing efficiency, affected positioning precision due to approximation processing in the operation, in particular has satellite velocity error which is the greatest factor affecting the precision of the traditional geocoding results of the spaceborne SAR images. The method of the invention is not affected by the satellite velocity error, when the ephemeris parameters are not very good, the positioning precision of the method is rather better than that of the traditional positioning method, thus the method is more applicable to the actual engineering application. The method is a brand-new positioning method of the spaceborne SAR images, and has great significance in realizing the rapid and high-precision geocoding of the spaceborne SAR images.

The invention discloses a composite material and a method for multiscale response analysis of the structure thereof. The method comprises the steps that a meso-analysis model of the composite material to be analyzed is established, and the meso-analysis model is converted into a model required by multiscale analysis; a macroscopic analysis model of the composite material to be analyzed is established; the macroscopic analysis model is analyzed, and the meso-analysis model is called; the macroscopic analysis model transmits first transmission information to the meso-analysis model; the meso-analysis model conducts corresponding operation according to the first transmission information; response analysis of the meso-analysis model is conducted; the meso-analysis model feeds second transmission information back to the macroscopic analysis model; the macroscopic analysis model provides a new strain vector and a Jacobian matrix according to the second transmission information; the steps are repeated till integral points in the whole model are analyzed and convergence is achieved, and then the next incremental step is executed till the whole analysis process is finished. By the adoption of the method, the accuracy of multiscale response analysis of the composite material can be improved greatly.

The present invention relates to a technique for optimizing automatically an integrated circuit of transistor stage designed with respect to one process to be another integrated circuit of transistor stage adapted to the other process. The object of the invention is to provide a software which can optimize automatically the physical dimension, the area and the property of the integrated circuit of transistor stage transplanted with respect to the process. The invention comprises the following steps: ( 1 ) dividing the circuit; ( 2 ) optimizing the circuit in unit; ( 3 ) optimizing the circuit in entirety; ( 4 ) verifying the circuit. The invention converts the optimization of a large circuit to the same of the limited kinds of basic unit circuits; optimizes the basic unit circuits using analytical method; accelerates the simulation of the circuit according to the result of the division thereof, shortening the time required for optimizing the circuit in entirety and analyzes the mismatch of the matching signal path, optimizing the key signal path.

The invention belongs to the technical field of physiological parameter measurement, and relates to a diffuse optical tomography system based on an electron multiplication CCD (charge-coupled device), which comprises a steady-state laser source, a translation stage, a coupling lens, a lens, the electron multiplication CCD and a computer. Steady-state laser emitted by the steady-state laser sourceirradiates a phantom or an object to be measured through incident optical fibers, the translation stage drives an optical fiber head to move so that the laser irradiates various imaging points of thephantom, afterwards, the lens receives transmission light emitted from the phantom to form an image in the electron multiplication CCD, imaging results are transmitted to the computer, and the computer reconstructs the image. The invention further provides a tomography method implemented by using the system. The imaging quality of the reconstructed image can be improved, underdetermined ill-posednature of imaging algorithm is eliminated at the utmost, and image reconstruction efficiency and precision are improved.

The invention discloses an image impulse noise self-adaptive filtering method based on a genetic algorithm-back propagation (GA-BP) neural network. The method includes a first step of optimizing an initial weight value and an initial threshold value of a BP neural network through a genetic algorithm, a second step of training the CA-BP neural network, a third step of conducting noise detection on image through the well trained GA-BP neural network, and a fourth step of conducting self-adaptive average filtering on image noise points which are detected out. Due to the fact that the initial weight value and the initial threshold value of the BP neural network are poetized through the genetic algorithm, the problems of local minimum and slow speed convergence and the like are solved through a BP algorithm, and generalization ability of the neural network can be effectively improved.

The invention provides a beam array phase control system and a method based on multiphase perturbation. Emergent laser of a laser source in the control system is input to a beam splitter; multichannel laser output by the beam splitter is input to corresponding phase controllers respectively; the phase controllers are sequentially connected with optical amplifiers and an optical collimation emitter; the optical collimation emitter is sequentially connected with an optical splitter and a far field image device; the far field image device inputs the laser into a detector; an electrical signal output by the detector is input into a phase control algorithm module; the phase control algorithm module outputs a multichannel electrical control signal to the corresponding phase controllers; and a multiphase perturbation generation module outputs a multichannel electrical modulating signal to the corresponding phase controllers. With the adoption of the system and the method, the performance of a coherent combination system can be improved, and large-scale beam combining capacity can be achieved.

The invention discloses a method for multi-agent network object tracking based on improved adaptive particle filtering. The method includes the following steps: (1) through the combination of a multi-agent cooperation technology and a traditional particle filter, proposing an agent particle possessing local communication, perceiving and self-learning capabilities; (2) arranging and ordering a certain dimension value of the agent particle in a state space, when the distance between adjacent particles is shorter than a preset threshold value, reserving the particle which has a comparatively greater weight; (3) through innovation knowledge provided by system estimation and a predicated difference, in resampling phase, conducting online adaptive adjustment on sampled particle numbers, normalizing weight before conducting state estimation on an object position.

Provided is a calculating method for envelop feature lines of a rotary cutter based on an enveloping theory and division of longitudes. The calculating method comprises five steps: step 1, establishing a vector field on a designed curved surface according to the planning direction of a cutter path; step 2, dividing longitudes of the cutter and establishing a local coordinate system to each longitude; step 3, projecting set points of longitudes to the designed curved surface of a workpiece and acquiring the local feeding direction of a corresponding projective point in a direction field; step 4, utilizing that dot product between corresponding normal vector of the cutter curved surface of the longitudes in an envelope equation and the local feeding direction of the longitudes is zero as a condition to calculate effective feature points; step 5, calculating distances among effective feature points of all the longitudes to the curved surface of the workpiece in order to acquire the minimum distance of lines. The calculating method for envelop feature lines of the rotary cutter based on the enveloping theory and division of longitudes has a great application prospect in the technical field of numerical control machining of complex surfaces.

The invention belongs to the field of medical image assistant analysis technologies, and particularly relates to the CSM assistant analysis system and the CSM assistant analysis method based on tensor images. The CSM assistant analysis system comprises an image pre-processing module, an expert knowledge base module, an ELM learning module, a classifier module and a result output module, wherein the image pre-processing module is used for acquisition of diffusion tensor images, dual measurement registration of the diffusion tensor images, segmentation of the diffusion tensor images, and dimensionality reduction and feature extraction of the diffusion tensor images; the ELM learning module is used for utilizing an ELM learning algorithm for analyzing and solving information in an expert knowledge base; and the classifier module is used for classifying feature information extracted by the image pre-processing module according to parameters determined by the ELM learning module. The CSM assistant analysis system and the CSM assistant analysis method based on the tensor images fully excavate original information of the images, increases pattern classification precision, ensure image segmentation effect, avoid time-consuming iteration process, significantly reduce training time, and can better adapt to efficiency requirement of mass data.

The invention provides an optimization method of power distribution in an accessing strategy of wireless relays of the internet of things. The method includes that in a local region of the internet of things, multiple nodes of the internet of things share a node in a wireless mode to be accessed to an application scenarios of a public cellular network, a model of attenuation channel capacity is adopted, the maximum channel capacity serves as the optimization method, and joint optimization of the power distribution is carried out on multiple access channels and multiple node relay channels in the scenarios. Due to the fact that a control device is relatively simple, the optimization method of the power distribution has the advantages of being rapid and brief, and requirements of the power optimization in the scenarios of the internet of things are met.

A method for measuring a thickness of a thin film includes: a step of basing on a training database to establish an artificial neural network, the training database including a plurality of modified spectra and a plurality of film thicknesses corresponding individually to the plurality of modified spectra; a step of measuring a sample having a coated film so as to obtain a spectrum; and, a step of running the artificial neural network already trained by the plurality of modified spectra so as to use the spectrum to estimate a thickness of the coated film on the sample. In addition, a system related to the method for measuring a thickness of a thin film is provided to include a measuring unit, a spectrometer and a processing unit.

The invention discloses a cable stayed bridge health monitoring sensor optimization layout method comprising the following steps: obtaining node degree of freedom damage information indexes containing all beam segment damage information according to correlation between damage factors of all beam segment units of the cable stayed bridge and a node degree of freedom vibration mode; ranking the node degree of freedom damage information indexes according to the contained damage information; processing the ranked node degree of freedom damage information indexes according to a sensor optimization layout method based on modal observability, thus obtaining sensor layout positions. The cable stayed bridge health monitoring sensor optimization layout method can prevent low iteration or optimization efficiency, is simple, efficient, and practical. The invention also provides a cable stayed bridge health monitoring sensor optimization layout system.

The invention discloses a spline curve interpolation method for parameter increment compensation, and the method comprises the following steps: firstly, calculating a parameter increment estimation value from a current interpolation point to a next interpolation point based on a second-order Runge-Kutta method, and carrying out the approximate replacement of a derivative in a parameter increment through a backward difference method; secondly, comparing the arc length corresponding to the estimated interpolation point on the curve with the arc length corresponding to the interpolation point atthe ideal feeding speed, and approximately calculating a compensation arc length and a parameter increment compensation value by utilizing a curvature circle; and finally, determining a curve parameter value of a next interpolation point according to the parameter increment value, and realizing curve interpolation of minimum feed speed fluctuation. According to the method, iterative computation isavoided, and the method has certain practical significance in inhibiting feed speed fluctuation and improving interpolation processing quality.

The invention provides a positioning method with optimal joint of time synchronization and positioning under a TOA condition, used for solving the technical problem of low positioning precision and efficiency of the mobile terminal positioning technology in the prior art. The positioning method with the optimal joint of the time synchronization and the positioning under the TOA condition comprisesthe following steps: setting system parameters; establishing an observation model jointing the time synchronization and the positioning time of advent TOA; establishing a constrained target functionof the positioning estimation of a mobile terminal according to the observation model jointing the time synchronization and the positioning time of advent TOA; and solving the constrained target function of the positioning estimation of the mobile terminal by means of the generalized trust region method to obtain the global optimal solution of a combined vector y and read out the global optimal solution of a position vector p of the mobile terminal. The invention avoids the transfer of the positioning error, obtains the global optimal solution of positioning non-convex problem, and improves the positioning accuracy; and the calculation efficiency of the positioning estimation is improved by a simple iterative operation. The positioning method with the optimal joint of the time synchronization and the positioning under the TOA condition can be used for the positioning estimation of the mobile terminal depending on a plurality of cellular base stations in a stadia scene.

The invention discloses a simple and efficient hypersonic flight vehicle FADS system pressure measuring hole layout method. The method comprises the following steps of: defining the initial position of a pressure measuring hole according to an initial conjecture value; calculating the pressure distribution of the head of the aircraft by using CFD; resolving atmospheric data based on the aerodynamic model of the FADS system, repeatedly averaging for multiple times, and comparing with reference data to obtain an error; and calculating a value function, and realizing minimization of a target function through a differential genetic algorithm. The differential genetic algorithm adopted by the invention has the capability of jumping out of the local optimal solution, so that the quality of the obtained optimal solution is more reliable, and global optimization is facilitated; and based on the characteristics, the method can determine the optimal pressure measuring hole position of the hypersonic flight vehicle, so that the measurement precision and the anti-interference capability of the FADS system are improved.

The invention discloses a thermodynamic system static load flow rapid decoupling calculation method for quantity adjustment, which comprises the following steps: 10) dividing heat supply network nodetypes, selecting decoupling points according to decoupling conditions to divide a heat supply network, and generating a main system and subsystems; 20) establishing a decoupling point variable interaction and iteration mechanism according to the topological characteristics of the mesh heat supply network to form a mesh heat supply network power flow decoupling calculation process; 30) establishinga decoupling point variable interaction and iteration mechanism according to the topological characteristics of the radial heat supply network to form a radial heat supply network power flow decoupling calculation process; and 40) establishing a complete decoupling process of the heat supply network of any topology, and calculating the static power flow of the thermodynamic system according to the decoupled heat supply network characteristics. According to the method, the heat supply network of any topology and any scale is decoupled into a plurality of radiation networks under the conditionthat network characteristics are not changed, the calculation scale is reduced, meanwhile, the problems of complex nonlinear calculation and initial value selection in a heat supply network hydraulicmodel are avoided, and the efficiency and stability of the thermodynamic system static load flow calculation method based on quantity adjustment are improved.

The embodiment of the invention provides a telemetry data resolving method and device, electronic equipment and a computer storage medium, and relates to the field of carrier rocket data processing. The method comprises the following steps: when telemetry data of a rocket is acquired, acquiring corresponding first resolving description information based on a first parameter code in the telemetry data; verifying a first resolving formula in the first resolving description information and first parameter data in the telemetry data; when the first resolving formula and the first parameter data pass the inspection, resolving the first parameter data by adopting the first resolving formula to obtain a first resolving result; and when the first resolving description information comprises the standard data comparison table, interpolating the first resolving result based on the standard data comparison table to obtain a second resolving result. According to the embodiment of the invention, the configuration efficiency, the debugging efficiency and the development efficiency of the resolving process are improved, and the stability, the reusability and the reliability are higher.

The invention provides an equivalent modeling method for a photovoltaic cell. The equivalent modeling method comprises the following steps: acquiring an open-circuit voltage Uoc, a short-circuit current Isc, a maximum power point voltage Um and a maximum power point current Im of the photovoltaic cell in a standard state; and calculating an output volt-ampere characteristic model of the photovoltaic cell. The model disclosed by the invention can be used for designing a photovoltaic system, and the model disclosed by the invention is used in a design modeling process, so that the input and output characteristics of a photovoltaic unit can be accurately simulated, and complex iterative operation can be avoided, and the model can be used for rapid prototyping design of the photovoltaic system.

The embodiment of the invention provides a radar echo double-component mixed amplitude distribution model parameter estimation method. The method comprises the following steps of: estimating model parameters of each component in a double-component mixed model according to radar echo data; obtaining an empirical CCDF based on a histogram statistical method, and obtaining an initial theoretical CCDFof the echo data according to the estimated model parameters and initial weighting coefficient of each component; determining a CCDF interval range of the echo data, counting all quantiles of the empirical CCDF and the initial theoretical CCDF in the CCDF interval range, and calculating an error between the quantiles; adding a preset step length to the initial weighting coefficient to obtain a new weighting coefficient until the weighting coefficient exceeds a preset range; and taking the weighting coefficient corresponding to the minimum error value as the optimal weighting coefficient of the double-component mixed amplitude distribution model. The method is simple in operation, avoids local optimization, improves the modeling precision of a trailing region, and can be used for radar target detection under the clutter background.

A soft-output decoder that uses a-priori likelihood values to compute metrics while decoding a received data stream also uses the a-priori likelihood values to decide whether or not to compute the metrics for each position in the received data stream. Unnecessary computation can thereby be avoided, saving time and power. In an iterated soft-output decoding scheme, the soft-output decoder may decide whether or not to compute metrics for each position in the next iteration of the soft-output decoding process. These decisions may also be used to decide when to terminate the decoding process.

The invention discloses an image encryption method and device based on cascade transformation, and the method comprises the steps: S1, generating a phase mask according to a chaotic sequence; s2, randomly generating a real integer matrix, and encoding the real integer matrix and the first color image to generate a full quaternion matrix; s3, performing modulation and quaternion Gyrator transformation on the full quaternion matrix according to the phase mask to obtain a first amplitude and a first phase; s4, encoding the first amplitude and the second color image to generate a quaternion matrix, and performing amplitude truncation to obtain a second amplitude and a second phase; s5, multiplying the first phase by the second phase, and performing modulation and quaternion Gyrator transformation on the quaternion matrix according to a phase mask to obtain a third amplitude and a third phase; s6, repeatedly executing S4 and S5 until the Nth amplitude and the Nth phase of the last color image are obtained. The method has relatively high transmission efficiency and security.