49results about How to "Optimize calculation time" patented technology

A method and system for detecting anomalies in an aeroengine. The method and system define a behavior model of a controller of the aeroengine using a time regression modeling the behavior of the controller as a function of a data set relating to the controller and including measurements of past behaviors and command and state measurements of the controller; continuously recalculate the behavior model for each new data set; and monitor statistical variation of the behavior model to detect a behavior anomaly of the controller representing an operating anomaly of the engine.

The invention discloses a method for predicting the path destination of a moving object, and mainly solves the problems of sparse data, a low hit rate and poor real-time performance during the prediction of the path destination in the prior art. The method includes the following steps: off-line calculating the history path data in a training data set to obtain a location set, a prior probability of each location, a single-step transition probability matrix and a comprehensive transition probability matrix; calculating the conditional probability and the posterior probability of each location being the destination based on the off-line calculated data; on-line predicting the destination of the path to be predicted based on the posterior probability. Compared with the existing path prediction method, the method provided by the invention has the advantages that a prediction can be performed even when the data in the training data set is sparse; the calculation process of the prediction is optimized, so that the impact of the non-aftereffect property of Markov chain on the prediction accuracy is reduced; the prediction accuracy is improved; the method can be used for pushing location-related targeted advertisements and deploying criminal arrest plans in advance.

The invention relates to a tree modeling method based on skeleton point cloud. In the method, scaffold branches of the tree and outline of the crown which are sketched manually are taken as input automatic constructed tree model, comprising the following steps: extracting two-dimensional skeleton from the sketched strokes through pixel analysis; constructing a three-dimensional skeleton point cloud with two two-dimensional skeletons; expanding the two-dimensional skeleton into a three-dimensional scaffold branches skeleton under the guidance of the three-dimensional point cloud information; and constructing twigs and leaves based on the outline of the crown. The invention has easy application, simple algorithm and high modeling efficiency, and can create tree models with sense of reality. The modeling results of the invention have significant application values in fields of computer games, three-dimensional films, network roaming, urban landscape design and the like.

The invention discloses an optimization method for controlling vibration of a combined cycle unit by adjusting the bearing elevation. The method comprises the steps that 1, substructure partitioning is conducted; 2, coefficients after the bearing elevation changes are solved; 3, a motion equation at any revolving speed is determined and established according to a fast system matrix algorithm; 4, degree-of-freedom reduction is conducted according to a fixed interface modal synthesis method; 5, system synthesis is conducted, and a motion equation after reduction is established; 6, steady-state response solution is conducted on a reduction system; 7, an optimization model is built; and 8, an optimization model is solved by adopting a genetic algorithm. According to the optimization method, the fast system matrix algorithm at any revolving speed is developed, bearing parameters are calculated by adopting a difference model, degree-of-freedom reduction is conducted according to the modal synthesis method, the requirement on computer resources is reduced, the solution speed is increased, and the optimization model is solved by adopting the genetic algorithm finally. The optimization method has the advantages of being high in calculation speed, saving calculation resources and the like.

The invention discloses a face recognition method based on image feature analysis. The method comprises the steps of 1, processing the image of a face to be recognized, extracting scale-invariant feature transform (SIFT) feature point vector, taking the SIFT feature point vector as basis of recognition and judgment, and carrying out rotating optimization on the extracted SIFT feature point vector; 2, reducing the dimensionality of the extracted SIFT feature point vector; 3, selecting the SIFT feature points of the image, and matching the feature points. After the method based on feature analysis and matching is adopted, the dimensionality of the feature vector can be reduced, the image matching effect is not influenced when the number of the feature points is reduced, the speed and the accuracy of face recognition are improved, the robustness of recognition can be improved, and the real-time online running speed and the matching accuracy of the whole method are improved.

The invention relates to the technical field of bridge engineering, in particular to a concrete creep effect analysis method. The method comprises the following steps that 1, a time-dependent concrete stress value sigma (t) is measured; 2, according to the time-dependent concrete stress value sigma (t) measured in the step 1, a time(t)-dependent variation curve graph is obtained; 3, a recurrence method is adopted for obtaining a creep strain increment; 4, according to a stress relaxation coefficient R(t, tau)=sigma(t)/sigma0, the curve graph obtained in the step 2 and the step 3, a stress value sigma 0 of the moment tau 0 of concrete is set to be equal to 1, and a computational formula of a stress relaxation coefficient R(t, tau) at the time t is obtained, wherein the equation of the computational formula is shown in the description; 5, according to the stress relaxation coefficient R(t, tau), a concrete time-dependent elasticity modulus E(t, t0) is obtained; 6, according to the computational formula of the stress relaxation coefficient R(t, tau) and the elasticity modulus E(t, t0), concrete creep effect analysis is completed. According to the analysis method, the stress-strain algebraic equation is adopted, computation is greatly simplified, and programming computational analysis is promoted.

The invention provides an implementation method and system of a secure hash algorithm, a medium and equipment, and the method comprises the steps: dividing input data into a plurality of data blocks, sequentially dividing the data blocks into m message words, and executing the following steps for each data block: responding to the condition that the number n of iterations is less than or equal to m, inputting the n-th message word as a message word of the nth round of iteration into an entry of the iterative algorithm hardware structure, and obtaining a first permutation function and a second permutation function of the n-th round of iteration; in response to the fact that n is greater than m, obtaining a first permutation function and a second permutation function of the nth iteration based on a plurality of message words in the first m message words, obtaining message words of the nth iteration, and inputting the message words into an entry of an iterative algorithm hardware structure; and obtaining output data of the n-th round of iteration based on the message word of the n-th round of iteration, the first permutation function, the second permutation function and output data of the (n-1)-th round of iteration. According to the method, the algorithm calculation time is optimized, and the performance of a hardware algorithm structure is improved.

The invention relates to a method for estimating the quantity of light scattered by a heterogeneous participating media. In order to improve the display while minimising the required calculation time, the method comprises steps for:

• • estimation of projection coefficients in a function basis using values representative of density for a set of points of said media that are situated along at least one emission direction of light by a light source, and
  • estimation of the quantity of light scattered by said media, according to at least one scattering direction of the light, using said estimated projection coefficients.

The invention relates to a battery power consumption prompting device, in particular to a prompting device and a prompting method for power consumption of a battery of an instrument. The instrument comprises the battery and an electric quantity displaying device, wherein the battery is connected with a voltage detecting circuit; the voltage detecting circuit is connected with an A/D (analog/digital) converter; the A/D converter is connected with an input end of a singlechip; and an output end of the singlechip is connected to a liquid crystal display device and a loudspeaker. The prompting device can prompt a worker in time when the electric quantity of the instrument is insufficient; the worker can timely charge the instrument conveniently; and moreover, the prompting device displays the rest electric quantity, so that the worker can calculate the rest working time of the instrument conveniently, and the service life of the instrument is prolonged.

The invention discloses an active contour model image segmentation method based on SLIC superpixel segmentation and a saliency detection algorithm. The method comprises the following steps: firstly, preprocessing an image by using an SLIC algorithm to obtain a superpixel segmentation result; for a superpixel segmentation result, calculating the contrast between irregular superpixel blocks to estimate a saliency value so as to obtain a salient region, and then the obtained salient information and the spatial correlation between pixels being subjected to weighted fusion to obtain a saliency map; then extracting a region boundary of the saliency map by using a Canny operator, and constructing an initial level set phi by taking the saliency region boundary as an initial curve. The problems of too many parameters and the like existing in an existing active contour CV model are improved, the improved active contour CV model is used for further processing an ultraviolet image, and finally an accurate and ideal ultraviolet segmentation image is obtained.

A method and device for estimating the quantity of light received by an element of at least a participating medium belonging to a light ray crossing the at least a participating medium and having as origin a light source. As to optimize the estimation and the rendering of the at least a medium, the method comprises determining a pseudo-metric function according to intersection points between the participating medium and the light ray, the pseudo-metric function representing the distance only along the part(s) of the light ray crossing the participating medium; estimating first projection coefficients in a functions basis, the first coefficients being representative of an extinction function along the light ray according to the pseudo-metric function; and estimating the quantity of light received by the element according to the first projection coefficients.

The invention discloses a structural damage identification method combining convolution and recurrent neural networks. The method comprises the steps of collecting vibration response acceleration dataof different positions of a to-be-detected target by utilizing a plurality of sensors; preprocessing the vibration response acceleration data to form a time series data matrix; extracting spatial correlation features and short time scale dependence features from the time series data matrix by using a convolutional neural network; extracting a long-time scale dependence feature based on the spatial correlation feature and the short-time scale dependence feature by using a gating loop network; and classifying the damage state of the to-be-detected target by using the long-time scale dependencecharacteristic. According to the invention, the relation of monitoring data in time and space is considered; the problems of insufficient feature extraction, poor robustness and relatively weak mode classification capability existing in damage state identification are avoided, structure damage identification precision is substantially improved, more calculation space consumption can be saved underreasonable training conditions, and relatively good calculation time and space balance are realized.

A method of moving a virtual articulated object in a virtual environment in a succession of unit movements, the articulated object comprising a set of articulated elements connected together by a set of joints, the relative positions of the articulated elements being defined by a plurality of joint angles about a plurality of degrees of freedom, the method comprising the following steps: calculating an interaction distance between a given articulated element and the other articulated elements of the articulated object; extracting from said interaction distance, a first point belonging to the given articulated element, and a second point belonging to one of the other articulated elements of the articulated object; defining a single extraction vector from said first and second points; and moving the given articulated element away from the other articulated elements of the articulated object in a movement defined as a function of the single extraction vector by acting on the degrees of freedom of the articulated object in order to avoid a collision between the given articulated element and the other elements of the articulated object.

The invention relates to a method for estimating the quantity of light scattered by a heterogeneous participating media. In order to improve the display while minimizing the required calculation time, the method comprises steps for estimating projection coefficients in a function database using values representative of density for a set of points of said media situated along at least one emission direction of light by a light source, and for estimating of the quantity of light scattered by said media, according to at least one diffusion direction of the light, using said estimated projection coefficients.

The invention belongs to the technical field of respiratory monitor and discloses a monitor control method and a monitor control system for a respiratory medicine department based on big data. The control system comprises a power supply module, a respiration parameter acquisition module, an electrocardiosignal data acquisition module, an image acquisition module, a master control module, a data processing module, a data analysis module, a wireless communication module, a computer, a big data server, an alarm module and a display module. According to the monitor control method and the monitor control system disclosed by the invention, real-time discrete respiratory data are analyzed and mined by the data processing module, so that heath conditions of patients can be monitored in real time;the information acquiring efficiency is improved; in addition, information obtained by analyzing respiratory waveform data is abundant; meanwhile, the data analysis module is used for comprehensive analysis; individual conditions of users are analyzed fully, graphically and intuitively; respirator operating parameters of the users are set according to analysis results. A data analysis method disclosed by the invention is simple and high in practicality.

The present invention relates to a battery electricity prompting device and specifically relates to a battery electricity prompting device for instruments and a prompting method thereof. The device includes a battery and an electricity quantity display device. The battery is connected with a voltage detection circuit. The voltage detection circuit is connected with an A/D converter. The A/D converter is connected with the input end of a single-chip microcomputer; The output end of the single-chip microcomputer is connected with a liquid crystal display device and a loudspeaker. According to the invention, when an instrument/meter is short of power, the power shortage condition can be timely reminded. Therefore, the working personnel can timely charge the instrument/meter, and the residualelectricity quantity is displayed at the same time. As a result, the working personnel can conveniently calculate the residual working time of the instrument/meter, so that the service life of the instrument/meter is prolonged.

The invention discloses a pot handle with a view screen body. The pot handle comprises a pot handle (1), a view screen body (2) and a buckle (3). The view screen body (2) is arranged on the pot handle (1), and the pot handle (1) comprises a microphone (4), a timer (5), a switch (6), a liquid crystal screen (7), a copper-platinum shielding layer (8), a PCB (printed circuit board) (9), a wiring port (10), a decoding chip (11), a firmware memory chip (12), a FLASH chip (13) and a view screen body battery (14). The timer (5), the switch (6) and the liquid crystal screen (7) are arranged on the surface of the view screen body (2). The copper-platinum shielding layer (8) is arranged at the back of the liquid crystal screen (7), the PCB (9) is arranged behind the copper-platinum shielding layer (8), and the PCB (9) is connected with the wiring port (10), the decoding chip (11), the firmware memory chip (12), the FLASH chip (13), the view screen body battery (14) and the microphone (4). The buckle (3) is used for clamping the view screen body (2) on the pot handle (1). After the structure is adopted, a user can simultaneously appreciate various view screen programs, in particular to cooking programs during cooking, the timer on the screen can facilitate the calculation of the retention time of a dish in a hot pot or the soup stewing time. The pot handle disclosed by the invention has a simple structure, and can effectively enable people to effectively utilize time intervals during stewing and frying for studying and appreciating the various view screen programs, in particular to the cooking programs, study and grasp immediately and enable the dish frying to become simple and interesting.

The invention provides a batch data query method and device in real-time computing and computer equipment, and the method comprises the steps: constructing a Druid connection pool, and obtaining an asynchronous communicator VertX and Flink computing framework; performing first connection on the Druid connection pool and the asynchronous communicator VertX to obtain a connection device; carrying out second connection on the connection device and the Flink computing framework; based on the first connection and the second connection, generating connection information, and integrating and then storing the connection information in a specified directory of the Flink computing framework; constructing a real-time computing task of the Flink computing framework, and starting the real-time computing task; and inputting the batch data to be queried into the Flink computing framework, so that the Flink computing framework queries the batch data through the integrated connection information. Therefore, the problems of deadlock and poor stability caused by C3P0 can be avoided, and the data query performance in real-time computing can be improved on the premise of optimizing the computing time, so that the performance of the whole real-time computing is improved.