226results about How to "Calculation is simple and fast" patented technology

Techniques for modifying data of an image that can be implemented in a digital camera, video image capturing device and other optical systems are provided to correct for Image image shading variations appearing in data from a two-dimensional photo-sensor. These variations can be caused by imperfect lenses, non-uniform sensitivity across the photo-sensor, and internal reflections within a housing of the optical system, for example. In order to correct for these variations, a small amount of modification data is stored in a small memory within the camera or other optical system, preferably separate correction data for each primary color. Image data from individual pixels are corrected on the fly by interpolating individual pixel corrections from the stored modification data, at the same rate as the image data is being acquired, so that the correction takes place without slowing down data transfer of picture data from the image sensor.

The invention discloses an electrical-information-acquisition-system-based theoretical line loss estimation method for a distribution network, and aims to overcome the shortcomings of great errors of the conventional theoretical line loss estimation method for the distribution network, difficulty in accurate analysis on the characteristics of load fluctuation, unbalance, harmonic distortion, parameter variation and the like of the distribution network, and the like. By the method, each loss influencing factor of a medium and low voltage distribution network can be scientifically, perfectly and comprehensively reflected; and compared with a 'root-mean-square current method', an 'average current method', a 'maximum current method', an 'equivalent resistance method' and the like for estimating line loss only according to the single line diagram of the distribution network, typical day 24 hours, asynchronous current recording data and the like in DL686-1999 guide of calculation of grid energy loss, the invention has more accurate algorithms, parameters, load data and the like for the theoretical line loss, and provides a novel concept and a novel method for the loss analysis and energy efficiency evaluation of the distribution network.

The invention discloses a speaker recognition method based on a convolution neural network and a spectrogram, and the method comprises the following steps: firstly collecting an audio signal of each speaker; secondly converting the audio signals into the spectrogram; thirdly taking an image as an input layer, and training the neural network through AlexNet training; fourthly adjusting the weight values and biases of all layers of the neural network layer by layer through a reverse propagation algorithm; finally obtaining the parameters of the neural network, and classifying the speakers. The method achieves the quick recognition of the speakers through a convolution neural network processing method.

The invention discloses a three-dimensional grid precision compensation method for an industrial robot and belongs to the technical field of inverse calibration of industrial robots. In the method, by taking advantage of the characteristic that the industrial robot has relatively high reposition accuracy and establishing the relationship between theory coordinates and actual positioning coordinates by a laser tracker, the theoretical coordinates of any one point in a certain cubic grid divided in an enveloping space of the robot can be corrected by a spatial interpolation process, so that the absolute position precision compensation of the robot at the point is accomplished. In the method, the calculation procedure is simple and fast; the absolute position precision of the robot can be obviously improved, and the robot can be suitable for a wider application range.

The invention relates to an aerial photographed video target tracking method based on related filtering and significance testing. Through the tracking method based on related filtering and significance testing, a direction gradient histogram characteristic and a gray-scale characteristic are utilized for realizing high robustness of a tracking result to factors such as illumination change, noise and shield. Particularly when a target is severely shielded and tracking failure occurs, the aerial photographed video target tracking method realizes target detection through a redetection mechanism, so that long-time continuous tracking of the target can be realized. Furthermore, a significance detecting method based on a residual spectrum theory realizes simple and quick calculation. Redetection to the target can be realized through a relatively low calculation cost. A requirement for real-time performance of an algorithm in aerial photographing video tracking can be effectively satisfied.

Techniques are provided for calculating vending machines' service priorities and scheduling the vending machines for service taking into account a number of factors and thresholds (520). In some embodiments, the machines (110) are subdivided into subroutes (320). Each subroute has one or more machines, and at least one subroute has a plurality of machines. The vending machine service schedule is generated by selecting the highest priority subroute (410) and selecting the machines in that subroute (420). Other subroutes can be selected (430, 440) if there is time left in the Service Period.

The invention relates to a power system transient stability evaluation method based on a deep learning technology. Firstly, a time domain simulation method is used to generate a sample set {x<0>, y<0>}; characteristic variable vectors are then extracted according to the sample set, and a training set {x<1>, y<0>} is formed, wherein the training set is the characteristic variable vector set; training parameters are determined, a stacked automatic encoder is trained based on the training set, characteristic extraction is carried out on the training set to generate a calculation set {x<2>, y<0>};and finally, based on the calculation set, classification model training is carried out on a convolution neural network, and a power system transient stability evaluation model is formed. The stackedautomatic encoder is used to carry out layer-by-layer characteristic extraction on the characteristic variable vectors, a hidden data mode is mined, high-order characteristics more facilitating transient stability evaluation are formed, the convolution neural network is further used to build a stable classification model, the evaluation performance of the model is thus ensured, the misjudgement rate of unstable samples can be reduced, noise interference in a wide area measurement system of the power system can be effectively overcome, and an important significance is provided for online safeand stable evaluation on the power system.

The invention discloses an industrial robot space grid precision compensation method based on a neural network, and belongs to the technical field of calibration of industrial robots. By using the characteristic of high repeated positioning precision of industrial robots, training the back propagation (BP) neural network of particle swarm optimization to simulate the inherent law of the robots positioned under the same load and at different environment temperatures and combining the robot space grid precision compensation method, a random target positioning point in a robot enveloping space range is subjected to precision compensation, and the absolute positioning precision of the random target positioning point is improved. The measurement workload can be effectively reduced by determining the maximum step length of the divided grids for the industrial robots of different types, and the industrial robots are quickly put into application. Positive solution and inverse solution of robot kinematics are not required, the calculation process is simple and quick, and online compensation can be realized. The absolute positioning precision of the robots is improved, and the calibrated industrial robots can adapt to wide application occasions.

This invention relates to a multi-process information process method and a multi-process ticket process method, in which the ticket process method used in parallel process to tickets in the charge system includes 1, setting up a shared memory for every process, 2, the process fetches the tickets for processing in the shared memory block, 3, distributing the tickets and storing them in the shared memory according to the preset load balance rule based on the current occupation situation of the memory block and storing the tickets with the same charged numbers in a same shared memory.

Embodiments of the present invention pertain to prioritizing services based on business objectives is described. According to one embodiment, a probability of a service violation occurring within a predetermined time period is determined based on a service level jeopardy threshold being exceeded. The probability of a service violation corresponds to an incident. An alignment of the service level violation with a business objective is computed based on the probability of the service level violation. The incident is prioritized based on the alignment.

The invention provides an online practical quantization evaluation method of transient state stability of a power grid based on a WAMS (wide area measurement system) and a unit pair and belongs to the technical fields of online monitoring and early warning safety and stability of the power grid based on the WAMS. The method comprises the steps of: screening a generator set omega of which the power grid is distributed most severely relatively based on the wide-area measurement information of the WAMS, wherein setting any two generators within omega equivalent to a stand-alone system; and constructing a dynamic relative transient stability margin index (DTSI) on the basis, wherein the DTSI of the smallest unit pair is taken as the DTSI of the power grid. According to the invention, response track information is actually measured based on the power grid, and a dynamic relative idea is adopted. The method is suitable for any complicated model or transition mode of the power grid; the information can be effectively measured by fully utilizing a PMU (power management unit); the problems of coherent generator identification, curve fitting and energy integral hypothesis path and the like are avoided, and the method is less in calculated amount and high in reliability, and is expected to be applied to online safety monitoring and early warning engineering of the power grid based on the WAMS.

The invention discloses an electromagnetic vector sensor array amplitude and phase error self-correcting method based on array rotation. The method includes: an electromagnetic vector sensor with amplitude and phase errors is used as a receiving array and installed on a rotation device to receive a transverse electromagnetic wave calibration source signal, two groups of sampling data of an array output signal are received before the array rotates and after the array rotates 90 degrees around a z axis in clockwise mode, a sampling signal autocorrelation matrix formed by the two groups of sampling data is calculated, characteristic decomposition is performed on the sampling signal autocorrelation matrix to obtain signal guiding vector estimation values before and after rotation of an array and estimate an amplitude and phase error matrix, and an array element to be corrected receives an inverse matrix of a data premultiplication amplitude and phase error matrix so as to achieve correction of amplitude and phase errors. The electromagnetic vector sensor array amplitude and phase error self-correcting method based on the array rotation can estimate amplitude errors and signal arrival angles of the signal of the electromagnetic vector sensor, has high parameter estimation accuracy, does not need iterative operation, and is small in calculated amount.

The invention provides an experimental device for condensation heat-exchange of steam containing multi-component non-condensable gases. The experimental device comprises a steam supply system, an air supply system, a supply system of other gases, a cooling water system and a condensation experiment body, wherein the condensation experiment body comprises a shell and an experimental pipe arranged in the shell; the upper part and the lower part of the shell are respectively provided with an upper gas inlet pipe and a lower gas inlet pipe; an upper gas inlet valve and a lower gas inlet valve are respectively mounted on the upper gas inlet pipe and the lower gas inlet pipe; a main pipeline, which is formed after the upper gas inlet pipe and the lower gas inlet pipe are connected in parallel, is connected with the steam supply system, the air supply system and the supply system of other gases; the bottom of the shell is connected with a condensate tank; the steam is condensed in the condensation experiment body, and then the condensate flows down into the condensate tank from the bottom of the shell and is drained through a drain valve; and the upper end and the lower end of the experimental pipe are connected with the cooling water system. According to the experimental device for condensation heat-exchange of steam containing multi-component non-condensable gases, external condensation heat-exchange experiments of vertical single pipes and pipe bundles in various sizes and structural forms can be performed, thereby studying effect mechanisms of stem flow direction, non-condensable gas layers and other factors on condensation heat-exchange.

The present invention provides an ultra-high pressure gas reservoir production dynamic abnormal data diagnosis and correction method. The linear relationships between high-pressure stage normalization pseudo-pressure p and pressure p, and between high-pressure stage normalization pseudo-pressure p and apparent formation pressure p / z are adopted, the normalization pseudo-pressure yield qg / Delta p and substance balance pseudo-time t<ca> in Pslacio-Blasingame and Agarwal-Gardner decline curves are simplified, a standard flow characteristic curve of an ultra-high pressure gas well is established; the actual production curve of the ultra-high pressure gas well is compared with the standard flow characteristic curve of the ultra-high pressure gas well, so as to judge whether the actual production curve of the ultra-high pressure gas well is abnormal or not and judge the causes of abnormity. The calculation process of the established standard flow characteristic curve of the ultra-high pressure gas well is simple and the work load is small, and the calculation process facilitates on-site application; establishment of the ultra-high pressure abnormal well well-bottom flow pressure tracking and correction method considers the effects of change in the number of the communicated gas reservoir production wells and the gas well production adjustment on well controllable reserves, and thus the forecast result error is reduced.

A real time 2D deconvolution system and method for processing a time sequence, or video sequence, of microscopy images. A system is provided that includes a first algorithm for processing a first image in the set of 2D images, wherein the first algorithm calculates an estimated point spread function (PSF) by analyzing data in the first image; and a second algorithm for processing a set of subsequent images in the set of 2D images, wherein each subsequent image is processed based on the estimated PSF, under the assumption of slowly-varying image change. A PSF refinement system may optionally improve the PSF estimate, between each image, as computation time permits.

Two algorithms for estimating signal to jamming ratio of forward basic service channel in CDMA system of FDD mode includes the first algorithm utilizing pilot frequency combination to estimate said signal to jamming ratio as using symbol amplitude variance as interference signal power and using symbol amplitude squared value as signal power to calculate signal to jamming ratio Eb / Nt ; the second algorithm utilizing PCB ONLY method to calculate out a numbers of instantaneous signal to jamming ratios by using I, Q signal amplitude in each PCB and then counting out mean value of said ratios to obtain signal to jamming ratio of forward basic service channel .

The invention discloses a routing convergence method and system. The method includes the steps that a network server collects network topology information of a corresponding network; a path with the fewest path hops is searched for on the basis of the network topology information and serves as a shortest path between each source node and the corresponding destination node, the shortest paths between the source nodes and the corresponding destination nodes are converted into a full-path routing list according to link information of network nodes of the networks, and the full-path routing list is sent to the network nodes of the corresponding networks so that the network nodes can carry out routing convergence by inquiring the full-path routing list. According to the routing convergence method and system, when routing convergence is needed, the network nodes do not need to calculate the paths, concentrated routing planning is carried out on the basis of the full-path routing list, the network convergence speed and network maintenance efficiency can be improved, network control capacity can be improved and transverse extension of a network structure is facilitated.

The invention discloses an electric energy quality analysis method based on variational mode decomposition multi-scale permutation entropy. The method comprises the steps of collecting original training data of electric energy quality monitoring points when the electric energy quality monitoring points are disturbed by different types; adopting variational mode decomposition to decompose the components to obtain K IMF components; calculating the multi-scale permutation entropy of each IMF component, and constructing a feature vector of the original training data; selecting R features from thefeature vectors to form an optimized feature vector of the original training data; taking the optimized feature vector of the original training data and the corresponding disturbance type as input data and output data respectively, and training an ELM neural network model to obtain an electric energy quality disturbance classifier; and acquiring optimized feature vectors of voltage signals of to-be-detected power quality monitoring points according to same method; inputting the optimized feature vectors into the power quality disturbance classifier to obtain the disturbance type of the power quality monitoring point to be detected. According to the method, the real-time diagnosis efficiency of the disturbance type of the power quality is greatly improved.

The invention discloses an evaluation method for analyzing electric power carbon emission influence factors and carbon emission efficiency. The method belongs to the technical and economic field of electric power, and comprises the following steps: S1, data collection, S2, model construction, S3, calculation of carbon emission of the electric power industry over the years of each city, S4, analysis of per capita carbon emission influence factors of each city, S5, calculation of carbon emission efficiency of each city over the years, and S6, comprehensive analysis of the carbon emission influence factors and the carbon emission efficiency of electric power. The evaluation method for analyzing the influence factors and the carbon emission efficiency of the electric power carbon emission, disclosed by the invention, is used for analyzing the influence factors and the carbon emission efficiency of the electric power carbon emission of different regions in a provincial region, and can provide a reference for a local government to take targeted measures to reduce the carbon emission of the electric power industry; a reference is provided for a provincial government to select a carbon emission severe control region; the method can be applied to specific analysis of different provinces; reference is provided for electric power-economy-environment balanced development of all regions inthe province, and sustainable development of the regional industry is promoted.

The invention provides a method for applying dependent variables to calculate porosity of a brittle formation. The method comprises following steps: firstly, making structural interpretations about brittle formations and tomography; applying interpretation data to set up a geologic model in a depth domain; adopting a three-dimensional structural recovery method to calculate accumulative dependent variables of the brittle formation; utilizing a drilling and coring test to solve rock elasticity parameters of the brittle formation; calculate porosity of the brittle formation based on the set dependent variables-rock elasticity parameters-fracture porosity relations; applying core porosity to make corrections and compiling a horizontal distribution graph of porosity. Method for applying dependent variables to calculate porosity of the brittle formation helps to increase accuracy of porosity of the brittle formation and is easily and conveniently used and is well applied to increase of success rate of oil and gas reservoir, drilling and exploitation, avoidance of construction risks and improvement of efficiency.

The invention discloses a substation type precision compensation for a robot system with an additional external shaft, belongs to the technical field of industrial robot reverse calibration, and aims to solve the difficulty in compensating the error of the external shaft (guide rail) of the industrial robot. According to the method, based on a robot envelope line, the guide rail is divided into a plurality of substations and substation type compensation is performed. The method comprises the steps: a laser tracker is adopted to measure and recognize the error of the external shaft (guide rail) and the robot, and the compensation for the tail end error of the robot is completed through inputting corrected control commands into the robot. During measurement and recognition of the error of the external shaft, an auxiliary coordinate system is introduced so as to allow the measuring process to be simple and quick, and meanwhile to ensure the precision. Through test verification, the method can greatly improve the absolute positioning precision of the robot with the additional external shaft, so as to allow the robot to be suitable for wider applications.

The invention belongs to the field of immuno-chromatographic detection, and in particular relates to a quantitative detection and computation method based on the fluorescence immuno-chromatographic technology, comprising the following steps: inserting a fluorescence immunostrip dripped with a sample solution to be detected into a fluorescence immunoassay instrument, and sequentially performing irradiation with an LED light source, optical filtering processing with an optical filter, detection with a photoelectric detector, electrical signal processing, AD conversion processing, baseline correction, L-M algorithm processing, area computation and concentration computation. The quantitative detection and computation method stresses on signal reconstruction by using an algorithm, eliminates influence of noise and various interferences, ensures the signal processing course undistorted, and can obtain high-precision and low-error results, thereby quickly, conveniently and accurately determining the concentration result.

This invention relates to bar code used in digit water level code bar and electrical theodolite panel and its coding and decoding method. Its code elements are composed of a pair of light and dark strips with same order. The duty cycle of dark strips in the code elements at least two kinds and the code element with different duty cycle is named as proportion code. The multiple codes distributes as designed order to form the codes of digit water level and electrical theodolite panel which are characterized by the same width of each code element.

A calibration device is disclosed. A platform has a substantially planar surface suitable for the landing of an AFM cantilever tip, one or more supporting legs arranged to provide sprung resistance to the platform and a capacitive sensor for measuring the combined spring constant of the one or more supporting legs with respect to displacement substantially perpendicular to said substantially planar surface.

The invention relates to a method for controlling building thermal environment and building energy conservation in an air-conditioning building, which comprises the following steps: calculating out the comprehensive temperature average value and the corresponding wave amplitude value thereof of a horizontal external surface and the west wall external surface of a local building roof according to data information that the temperature average value t0 of the outdoor air in a local air-conditioning building in continuous 5 days in the lately 10 years is more than or equal to 28 DEG C; determining the thermal transmission resistance control index of a roof and a wall in the process of heat preservation in the air-conditioning building; determining the heat insulation and energy conservation three-element control index of the wall, the roof and a window in the air-conditioning building; and controlling the hot working performances of the wall, the roof and the window according to the heat insulation and energy conservation three-element control index. The method gives full play to the use value of the existing meteorological data, adopts a simple method to make the calculation of the control indexes of each energy conservation aspect simple and fast, and has small investment cost. The method applied to the designs of the building thermal environment and the building energy conservation can greatly improve the energy conservation efficiency of the building.

The invention provides a minimum miscible phase pressure computing method of low-permeability reservoir CO2 flooding. The minimum miscible phase pressure computing method of low-permeability reservoirCO2 flooding comprises the following steps that minimum miscible phase pressure and underlying parameters of four or more samples are obtained by adopting a slim-tube displacement experimental method; the underlying parameters of the four or more samples are substituted through a theoretical formula method to calculate and obtain the minimum miscible phase pressure ; the minimum miscible phase pressure error of a same sample is obtained by comparing the slim-tube displacement experimental method and the theoretical formula method, and empirical constants are obtained by substituting the underlying parameters of four selected samples into a logarithm formula and establishing an augmented matrix; and a computational formula model is obtained by fitting the minimum miscible phase pressure ina low permeability reservoir and the underlying parameters. According to the minimum miscible phase pressure computing method of the low-permeability reservoir CO2 flooding, the minimum miscible pressure determined by the slim-tube displacement experimental method is more accurate, the theoretical formula method is more convenient and fast, and the cost is lower; at the same time, calculation requirements of the low-permeability reservoir in the Northern Jiangsu Basin can be met, a new derivation computational formula is more accurate in computational accuracy, the theoretical basis is higher, the labor intensity is low, and the minimum miscible pressure computing method of the low-permeability reservoir CO2 flooding is suitable for the use of low-permeability reservoir in the Northern Jiangsu Basin.

The invention belongs to the field of digital image processing and mode recognition, in particular relates to a method for extracting a fractal profile for representing fabric texture and a Sobel operator filtering detail mixed characteristic vector, which comprises the following steps of: firstly, longitudinally and laterally projecting an original fabric image respectively and synchronously, combining two time sequences obtained by projection into one sequence, and estimating the fractal dimension of the sequence as a profile characteristic on the basis; subsequently, respectively carrying out lateral and vertical Sobel operator filtering on the original fabric image, and extracting four extreme value gray scale statistics as detail characteristics based on the basic cycle period of the fabric texture and the traversal method principle; and finally, combing the one fractal profile characteristic and the four Sobel operator filtering detail characteristics to form a mixed characteristic vector. The mixed characteristic vector has high complementarity among all characteristics, combines the profile information and the detail information of the texture, also combines the lateral information and the longitudinal information of the texture and can describe the characteristics of the fabric texture comprehensively in detail.

The invention discloses a technology for measuring and calculating tree ages. According to the technology, a mathematical model is established for the tree ages by acquiring the information of slope, exposure, elevation, thickness of soil, breast-high diameter and the like under standing tree growing conditions so as to acquire the tree ages. A mathematical inversion model is established by collecting the information of breast-high diameter, annual ring and growing conditions (slope, exposure, elevation, thickness of soil) of felled trees in the field, and then the tree ages can be calculated through the mathematical model by using the information of breast-high diameter, elevation, slope, exposure, thickness of soil and the like, wherein the information is measured and calculated in the field. The technology for measuring and calculating the tree ages greatly improves accuracy in calculating the tree ages and overcomes the shortcoming that the existing methods of hewing down analytic trees, turning intake growth cones and the like are large in destructiveness, tedious in process and the like.

A method for determining the distance of visibility for a driver of a vehicle in the presence of an element disrupting the visibility of the driver, the method comprising the following steps: determining the luminosity of the pixels of a region of an image taken in the field of vision of the driver, resulting in a luminosity curve, determining a first tangent to the curve of luminosity, determining a second tangent to the curve of luminosity, determining a sweep-line according to the first tangent and second tangent, the sweep-line being representative of the distance of visibility.

A counting method and apparatus are provided. The method and / or apparatus includes generating a regression tree by inputting information about a moving object contained in a plurality of images, in response to a new image being input, inputting information about a moving object contained in the new input image to the regression tree, and determining the number of people contained in the new image based on a result value of the regression tree.