61results about How to "Solve difficult to identify" patented technology

The invention discloses an underlined text image preprocessing method and device, relating to the field of optical character recognition. The method comprises the following steps: acquiring the position of each text line in a text image; for the position of each text line, searching each text line based on a run-length search method; if the preliminary determination result shows that an underline exists in the text line, locating the position of the initial upper boundary of the underline; by using the initial upper boundary of the underline as an initial pixel line, locating the underline region based on run-length search and connected domain analysis methods; separating out stroke regions of characters from the underline region, thus obtaining a region to be deleted; and setting the foreground information in the region to be deleted into the background, thus obtaining a character region having no underline. By searching each text line based on the run-length search method for the position of each text line, the invention solves the problem that a text having an underline (especially an underline conglutinated with characters) is difficult to recognize, improves the character recognition rate, and enhances the adaptability of the recognition core.

The invention discloses a method for testing and identifying dynamic characteristic coefficients of a sliding bearing. The method comprises the following steps of: (1) fixing a bearing to be identified on a test bed; (2) arranging a key phase mark which serves as a reference for subsequent rotational speed analysis and key-phase synchronous acquisition analysis on a shaft segment of a rotation shaft, wherein the shaft segment of the rotation shaft is the part, which is positioned between the bearing and a power input end of a rotation shaft, of the rotation shaft; (3) applying unbalanced force which serves exciting force to the shaft segment of the rotation shaft; (4) raising the speed of the rotation shaft up to the test speed, and respectively measuring a dynamic strain signal of the shaft segment of the rotation shaft and the vibration displacement of the rotation shaft relative to the bearing; (5) computing the dynamic load which is born by the bearing according to the dynamic strain signal of the shaft segment of the rotation shaft; (6) substituting the dynamic load of the bearing and the vibration displacement of the rotation shaft into a computational formula corresponding to the lubrication theory of the bearing to obtain two sets of solving equations; (7) changing the unbalanced force to obtain another two sets of solving equations; and (8) solving the four sets of solving equations to obtain the dynamic characteristic coefficients of the bearing. By the method, large-sized bearings can be tested, large-sized equipment such as a vibration exciter is not required, and the identification result is accurate.

The invention relates to an application of brucellosis A19 molecular marking vaccine and immunological identification of the brucellosis A19 molecular marking vaccine. The brucellosis vaccine can be applied to an enzyme-linked immunosordent assay (iELISA) method to distinguish an animal inoculated with the vaccine from a wild virus infected animal. According to the invention, a cattle is used as a test target animal antiepidemic to the brucellosis, the cattle is immune to brucellosis A19-detlaVirB12 marking vaccine so as to evaluate the immunological protection of the molecular marking vaccine. An iELISA method for distinguishing the brucellosis A19-detlaVirB12 immune animal from the wild virus infected animal is created. The brucellosis A19-detlaVirB12 marking vaccine provided by the invention not only has good immunological protection against the cattle brucellosis, and the iELISA method provided by the invention solves the problem that the immune animal is difficult to be distinguished from the clinic diseased animal, and the brucellosis A19 molecular marking vaccine has an actual application value in prevention and control, elimination and purification of the cattle brucellosis.

The invention discloses a human-machine cooperative picking robot based on Leap Motion and machine vision and a control method thereof. The human-machine cooperative picking robot comprises a walkingmechanism and a picking mechanical arm. A power source, a picking collecting basket and a robot controller are fixedly arranged on the walking mechanism, and the picking mechanical arm is arranged onthe walking mechanism. A picking mechanical hand is arranged on the picking mechanical arm. The human-machine cooperative picking robot also comprises a remote control system, and the remote control system comprises a computer and a Leap Motion somatosensory sensor, the Leap Motion somatosensory sensor communicates with the computer, and the computer communicates with the robot controller. A camera is arranged on the picking mechanical hand and communicates with the robot controller, and the camera and the robot controller are electrically connected with the power source. The human-machine cooperative picking robot can recognize objects to be picked in a complex background environment by using the excellent visual system of a human and is remotely controlled to move to pick fruits by the non-contact somatosensory sensor.

The invention belongs to the field of power systems, in particular relates to a method for distinguishing negative damping low frequency oscillation caused by a power generator excitation control system on the basis of moment decomposition integral algorithm. The method comprises the steps of: calculating a power generator transient state potential bias deltaE'q and determining a power generator speed bias delta omega, wherein the power generator speed bias delta omega is obtained through calculation according to a frequency of a potential EQ in a power generator, and whether damp provided by an excitation system of the unit is positive or negative relative to some oscillation mode in an Internet power grid is judged through calculating an integral value of the power generator transient state potential bias deltaE'q and the power generator speed bias delta omega. The method is convenient for measurement and is accurate, and can simply and clearly distinguish which oscillation mode of some power generator excitation control system provides a positive damp or negative damp so that measures are rapidly taken for inhibiting low frequency oscillation.

The invention belongs to the filed of electric systems, in particular relating to a realizing method of identifying negative damping low-frequency oscillation which is caused by a generator excitation control system, based on a force moment decomposition method. The realizing method comprises the following steps of: calculating subtranient electric potential E'q of a generator and determining velocity deviation delta omega of the generator, wherein the velocity deviation delta omega of the generator is calculated according to frequency of inner electric potential EQ of the generator; and judging whether damping provided by the excitation system of a machine group for a certain oscillation mode in an interconnected power grid is positive or negative by comparing phase relation of the subtranient electric potential delta E'q of the generator and the velocity deviation delta omega of the generator. The realizing method disclosed by the invention is convenient to measure, is accurate, can simply and clearly identify the generator excitation control system which provides the negative damping for a certain negative damping oscillation mode so as to quickly inhibit low-frequency oscillation. The method is a pioneering at home.

The invention discloses a DEM-based automatic identification and boundary extraction method of a moon surface impact crater. The method comprises the following steps that 1, catchment analysis is conducted on a moon surface DEM elevation domain, and catchment dividing and generating are conducted; 2, spatial alternation is conducted on the DEM elevation domain, and the processed moon surface elevation domain is changed to an artificial terrain domain to be used for identifying sunken areas of different sizes; 3, edge expanding is conducted on the sunken areas through a neighborhood expansion algorithm, and a complete impact crater area is obtained; 4, the boundary of the impact crater area is fitted through the Fourier Series, and the precise shape of the impact crater is extracted. The problem that the complex moon surface is complex due to the overlaying impact craters and is difficult to identify completely is solved, the integrity of the identifying result is guaranteed, the boundary of the impact crater object is fitted through the Fourier Series, and the actual shape parameter of the crater is extracted, and accuracy of the extraction result is guaranteed.

The invention discloses an object identification method based on shape fragments. The method comprises the steps of extracting edge shape fragments of a training image and edge shape fragments of a test image; constructing an edge shape fragment model of an object according to the edge shape fragments of the training image; selecting specific edge shape fragments from the edge shape fragments of the test image as candidate edge shape fragments, wherein the similarity between the specific edge shape fragments and an edge shape fragment in the edge shape fragment model of the object must be larger than a first threshold; calculating the maximum probability value of Hough space by means of Hough transformation to determine the reference point position of an object to be detected; screening the candidate edge shape fragments according to the reference point position of the object to be detected to obtain an actual object profile fragment. The object identification method based on the shape fragments effectively solves the problem that a traditional method can not be used for identifying flexible objects or objects with unstable appearance features.

According to an EOF-based unmanned aerial vehicle signal identification system and method provided by the invention, the problem that similar unmanned aerial vehicle signals are difficult to identifyis solved, the identification effect of unmanned aerial vehicles with similar signals can be effectively improved, and better support is provided for unmanned aerial vehicle identification managementand control. The method provided by the invention comprises the following steps: 1) firstly, carrying out preliminary identification on a received unmanned aerial vehicle signal through a characteristic parameter matching method; 2) carrying out FFT (Fast Fourier Transform) processing on the unmanned aerial vehicle signal which cannot be recognized through characteristic parameter matching, and then generating a corresponding time-frequency analysis graph; 3) adopting an empirical orthogonal function analysis method to decompose a video analysis matrix corresponding to the video analysis graphinto an EOF matrix reflecting signal common characteristics and a characteristic coefficient matrix reflecting signal difference characteristics; and 4) performing feature data extraction and BP neural network training on the feature coefficient matrix, constructing a corresponding unmanned aerial vehicle type classifier, and outputting an identification result.

The present invention discloses an architecture test block, and a test block information sign board integrated with the test block body is solidificated on the surface of the test block body. The test block information sign in the present invention cannot be exfoliated and tampered but can be fixed permanently, thus being convenient to perform the whole process retrospective management of the course information. The present invention also provides an architecture test block information management system, comprising a test block provided with a information sign board, and the information sign of the test block is applied to track management of the test block; and a test block information management system software is applied for managing the course information materials of the test block, and the test block information management system software can implement the whole process retrospective management on the architecture test block and inhibit the problem of the false test block. The present invention resolves the problem that the false test block is sent to the inspection institute to be detected with the false to be the genuine, and the identification thereof is difficult, and the overspread of the phenomenon of the false test block is inhabited.

The invention provides a system and method for judging negative damped oscillation and forced oscillation based on a straight line method. Through data of a PMU ((Power Management Unit) or WAMS (Wide Area Measurement System), an electromechanical quantity which is close to the stability of a power system is selected, whether certain low-frequency oscillation is a negative damped low-frequency oscillation caused by damping insufficiency or a forced oscillation caused by a forced disturbance source existing in a system can be rapidly recognized within scores of initial cycles, so that a measure for inhibiting low frequency oscillation is rapidly taken.

The invention discloses a plane structural part rib characteristic identification method, and belongs to the technical fields of computer-aided design (CAD)/computer-aided process planning (CAPP)/computer-aided manufacturing (CAM). The method is composed of five mainly procedures which are identification pretreatment, horizontal rib top surface extraction, constraint geometric surface extraction, split node construction and rib characteristic extraction. The method can effectively achieve automatic extraction of rib characteristics of a plane structural part, and is high in the identification rate and efficiency. When the crossed rib characteristic identification is processed by the method, the purpose that time consumption caused by deceleration of a machine tool during processing of the rib characteristics is achieved, and the identification result can improve processing efficiency. When the method is used for numerical control programming based on the characteristics, high programming efficiency and high programming quality can be obtained, and good application prospect is achieved.

The invention discloses a fine identification method for the sedimentary elements of a waterway complex based on spectral decomposition and a coherent attribute fusion process, comprising the following steps: (1) making frequency analysis of a data volume; (2) forming a tuned data volume; (3) establishing discrete time-frequency volumes; (4) carrying out coherent volume operation; (5) carrying outvolume fusion operation: carrying out superposed and fused display of the discrete time-frequency volumes corresponding to different sedimentary elements obtained in step (3) and the coherent volumesin step (4) to obtain coherent time-frequency volumes corresponding to different sedimentary elements; and (6) visually displaying the coherent time-frequency volumes by using an isochronal slicing or stratigraphic slicing technology, and reconstructing the vertical evolution process and planar distribution characteristics of single sedimentary elements of a target waterway complex to finely identify the sedimentary elements. Technical problems as follows are solved: the distribution of sand bodies of a deep-water complex waterway is complex; it is difficult to describe the sedimentary elements; it is difficult to identify the development phase of the waterway; and the resolution of seismic data is inadequate to predict the high-quality reservoir sand bodies in the complex waterway.

The invention provides a linear-scanning-based method for improving the recognition capability of a thin interbed. The method comprises: carrying out spectrum and waveform characteristic analysis on seismic data to obtain a dominant frequency band range and phase information of the seismic data; extracting wavelets of all seismic data by using the complex cepstrum and adjusting obtained wavelet frequency bands and phases; with broadband information of a linear scan signal, sliding a time window and selecting an optimal linear scanning wavelet ; for a single-track record, carrying out wavelet shaping deconvolution by extracting the wavelet and optimal linear scanning wavelet to obtain a shaping operator of a target track; and acquiring a new high-resolution seismic record by using a new composite shaping operator and target seismic recording track convolution. According to the invention, high-precision processing is carried out on the thin layer and thin interbed; according to the broadband characteristics of linear scanning wavelets, bandwidth compensation is reasonably carried out, so that the main frequency is increased and the frequency band range is extended; a high-resolutionseismic profile is obtained; and the recognition ability of the thin layer is improved effectively.

The invention discloses a pseudo base station identification method, device, equipment and a computer readable storage medium. The pseudo base station recognition method comprises the following steps:obtaining cell information delivered by the corresponding cell base station when an access instruction for a terminal to access a cell base station is detected; determining whether the cell information comprises public land mobile network information prohibited by a subscriber identity module (SIM) of the terminal; and prohibiting the terminal from accessing the cell base station when the cell information comprises the public land mobile network information prohibited by the SIM of the terminal. The invention aims to solve the technical problem that the pseudo base station is difficult to recognize in the prior art, which affected the social, work, and money usage of the user, and the user experience is low.