105results about How to "Not much calculation" patented technology

The invention discloses a visual attention and mean shift-based target detection and tracking method. The method comprises the following the steps: firstly, extracting the salient region of a first frame image in an image sequence by using a visual attention method, and removing interferences of background factors to obtain a moving target; then, changing fixed bandwidth of a kernel function in a traditional mean shift method into dynamically changed bandwidth, and tracking the detected moving target by using an improved mean shift method. Shown by an experimental result, the visual attention and mean shift-based target detection and tracking method disclosed by the invention is suitable for infrared and visible image sequences, and better in tracking effect. Moreover, the positional information of the moving target also can be provided by the visual attention and mean shift-based target detection and tracking method disclosed by the invention, and thus, possibility is provided for accurate positioning of the target. The visual attention and mean shift-based target detection and tracking method has a broad application prospect in the military and civil field of night vision investigation, security and protection monitoring, and the like.

The invention relates to a system and method for locking phase and tracing the time synchronization, the said system includes: the receiver of clock source which is used to receive the second impulse signal and state data of clock source; control device for clock phase-lock which is connected with the receiver of clock source, read the state data of clock source and analyses it to choose a route to trace the second impulse signal, and the traced signal is output according to the need of user. Said method includes: a. receiving the second impulse signal from the clock source and state data; b. analyzing the state data of clock source, and according to the analyzed result choose the second impulse signal; c. tracing the second impulse signal by locking phase and output the signal according to need frequence of user. To solve the problem that caused by using the receiving unit of ''Dipper No. 1'' need to provide local parameters which is lack by hand; and at the same time, it solves the unreliable problem that caused by using the GPS as the clock synchronizing system of synchronizing source.

The invention provides a residual echo inhibition method and device. The method comprises steps of: acquiring the energy of an error signal in an echo filtering process, the cross-power spectrum density of the error signal and a near-end microphone acquisition signal, the self-power spectrum density of the error signal, the energy of the near-end microphone acquisition signal, the reverberation power spectrum density of a reference signal, and the sound attenuation coefficient of an echo; computing a filter coefficient of frequency-domain Wiener filtering according to the energy of the near-end microphone acquisition signal and the energy of the error signal; computing a filter coefficient of similar Wiener filtering according to the cross-power spectrum density of the error signal and the near-end microphone acquisition signal, the self-power spectrum density of the error signal, the reverberation power spectrum density of the reference signal, and the sound attenuation coefficient of the echo; and filtering the residual echo according to the filter coefficient of frequency-domain Wiener filtering and the filter coefficient of similar Wiener filtering. The method and the device can be suitable for varied application environments and are capable of accurately filtering the residual echo and guaranteeing good voice quality.

The invention relates to the field of digital image processing and provides an image amplification algorithm which can still keep the edge of an image clear after the image is amplified in a large scale, has a low calculated amount and is convenient for hardware implementation. The invention adopts the technical scheme that a piecewise linear interpolation method applied to video image amplification comprises the following steps of calculating each interpolating point in both horizontal and vertical directions; carrying out weighting on gray levels of four adjacent source pixel points; firstly, carrying out weighting calculation on two source pixels at the upper part and two source pixels at the lower part according to horizontal distances from the source pixels to the interpolating points so as to obtain two middle pixel points; and then carrying out weighting calculation on the two middle pixel points according to vertical distances from the two middle pixel points to the interpolating points so as to obtain gray levels of the interpolating points to be calculated, wherein when the interpolating points are calculated, processing is carried out according to conditions, i.e. according to difference between the gray levels of two adjacent sources, corresponding different interpolation curves are selected to carry out calculation. The piecewise linear interpolation method is mainly applied to digital image processing.

The invention discloses a clock synchronization device and method. The device comprises a phase discriminator, a loop filter, a voltage-controlled oscillator, a frequency synthesizer and a clock driver in the sequential connection, wherein clock signals output by the clock driver are fed back to an input end of the phase discriminator after being subjected to frequency division by a frequency divider; phase discrimination is carried out on the clock signals which is subjected to the frequency division and reference clock signals by the phase discriminator, and the obtained phase discrimination value is input to the loop filter; after the input phase discrimination value is subjected to low pass filtering by the loop filter, voltage signals are obtained and then input to the voltage-controlled oscillator, and the voltage-controlled oscillator controls the clock signals generated by oscillation according to the input voltage signals; and after the frequency synthesizer performs the frequency synthesis on the clock signals generated by the oscillation, the obtained clock signals with set frequencies are input into the clock driver, and the clock driver drives the clock signals to generate the required clock signals. According to the invention, the phase position of a clock can be controlled and output accurately, and the system clock performance is improved.

The present invention discloses a vehicle suspension leaf spring frequency domain fatigue analysis method. The method is characterized by comprising: targeted at a pre-stress and a large transformation effect of a leaf spring, establishing a leaf spring geometric model in a free state and importing the leaf spring geometric model into finite element software for analysis; by applying a displacement constraint on a plate spring seat and applying a theoretical axle load on front and rear lugs, obtaining stress distribution in an operating state of the leaf spring, so as to obtain a leaf spring modality result file; by acquiring experimental data of a vehicle on a durability test road, obtaining a power spectrum density of a relative acceleration; and targeted at the obtained leaf spring modality result file, by using the obtained power spectrum density as a load input, executing a random vibration analysis in the finite element software, extracting a dynamic response result of a virtual prototype under a random excitation and estimating fatigue performance of the leaf spring on the durability test road according to a Gaussian three interval method. The method disclosed by the present invention is accurate in result and high in operation efficiency.

The invention discloses an expression robot applied to an instant messaging tool. The expression robot can recognize expression marks used by users in real time and can make same responses as the meaning represented by the expression marks. In addition, an expression recognizing method overcomes the defects that the complexity degree is high, the real-time performance is poor, and a secret key needs to be decoded again after the instant messaging tool is updated. In a system, a chat window monitoring module intercepts chat window images as pictures and stores the pictures when the instant messaging tool has new chat message display, or the chat window monitoring module regularly is timed to intercept the chat window images as pictures and to store the pictures; an expression mark positioning module finds expression marks in the intercepted pictures, and the positions of the expression marks are sent to an expression mark recognizing module; the expression mark recognizing module comprises the positions of the expression marks and expression marks in the existing expression mark bank, and the meanings of the expression marks are determined and are sent to a response module; and the response module makes responses in set expression modes after receiving results sent by the expression mark recognizing module.

The invention discloses a method for acquiring GPS weak signals, which comprises the following steps: carrying out correlation operation for GPS satellite signals received in the set time; ordering the obtained correlation operation results, recording frequency points corresponding to the forward correlation operation results, and recording as once-through operation; repeating the step 1 and the step 2 until the set operation number is reached; listing the frequency points corresponding to the forward correlation operation results of each group of data, counting up the positions of the frequency points and the number of appearance in each position, and obtaining the statistical vectors of the recorded frequency points; if at least one of the statistical vectors is larger than or equal to the threshold value, acquiring successfully; if all the statistical vectors are smaller than the threshold value, acquiring unsuccessfully. For weak signals, because no obvious correlation peaks exist, a general acquiring method can not realize effective acquisition; but for the acquisition algorithm of the invention, even though no largest and second largest correlation peaks and the like exist, the acquisition can success and the amount of calculation is not great.

The invention discloses a spatial hierarchical grid disturbance gravity field model building and disturbance gravity quick determination method which overcomes the defect that in the prior art, a disturbance gravity field still needs to be further studied. The method comprises the following steps that firstly, height level division is performed; in other words, external space is divided into a plurality of sections according to gravity variation characteristics of global outer disturbance; secondly, grid cell approach and grid division criteria are formulated; in other words, approach is performed through grid units based on wide-area polynomials different sections respectively, and accuracy is analyzed; thirdly, the criteria are utilized for disturbance gravity model building; fourthly, disturbance gravity is calculated in real time through a model, the application requirement of an aircraft in the high-speed flight process is combined, and therefore the disturbance gravity can be calculated efficiently in a high-accuracy mode. Compared with the prior art, the calculated amount is small, calculation can be achieved without a specially advanced computer, multiple types of gravity measurement data are not needed, and approach accuracy is high.

The invention relates to a shaking preventing method for a video image in video surveillance. The method comprises the steps that background modeling is carried out on a video image sequence, and a background image of a monitored scene is obtained and serves as a reference image; the reference image is segmented, the textual features of all image blocks are calculated, and the image block with the abundant textural features is selected as a reference image block; a matching area of the reference image block is found out in a current image, and the displacement, relative to the reference image, of the current image is estimated according to the displacement, relative to the reference image block, of multiple matching areas; the current video image is corrected according to the relative displacement of the image. The shaking preventing method for the video image in the video surveillance has the advantages of being fast and convenient to conduct, safe, reliable and high in precision.

The invention discloses a group signature system based on quantum keys. The group signature system comprises a quantum key generator, a signature key, a quantum group key generator, a group key, a quantum group signature module, a group signature and a quantum group signature verification, wherein the quantum key generator is a quantum sequence device generated by a laser source, and is used for forming a shared key of a newly-added group member and a group administrator; the quantum group key is issued to group members by the group administrator and used for encryption in signing according to a quantum state sequence generated by means of the quantum group key generator, and different sequences are generated according to different business transactions; and the quantum group signature module is used for performing quantum encryption on messages and signatures by the group members. The group signature system based on the quantum keys has the significant advantages that: identities are determined through distribution and measurement of the quantum keys, the efficiency is higher while the security is improved, and group members can be added and deleted quickly; and the group signature system is more suitable for a complex group signature environment, has the features of unlinkability and coalition attack resistance, and can realize coalition signature of a plurality of the group members.

The invention relates to a method for measuring the distance based on a single image in the field of application software of photographic equipment. The method comprises the following steps: using a single defocus image to extract a fuzzy edge in the image and measure an approximate value of the width of the fuzzy edge and the gray scale difference of two sides of the fuzzy edge; training a BP neural network by using the corresponding relation of distance information of the approximate value and the gray scale difference, the focal distance and the aperture diameter; and calculating the distance information by using the well-trained BP neural network. The method can be applied to equipment with variable focal distance and aperture, the measurement of the distance only needs one defocus image, the calculation amount is not large, and the speed is quicker.

The invention provides a weighted DV _ Hop node positioning method based on a minimum mean square error criterion, and the method comprises the steps: setting other anchor nodes to have the same weight under the minimum mean square error criterion, and obtaining a preliminary estimation value of the average distance of each hop of the anchor nodes; setting weights for other anchor nodes for the second time, and obtaining the corrected average hop-by-hop distance of the anchor nodes under the minimum mean square error criterion; calculating the connectivity of each adjacent anchor node and theaverage distance error of each hop; calculating the average hop distance of the unknown node and the estimated distance from the unknown node to the anchor node according to the average hop distance of the adjacent anchor nodes and the normalized weight value; and setting a linear solution of a weighted least square method as an iterative initial value, minimizing a weighted distance estimation error objective function through a nonlinear weighted iterative method, and taking an iterative result as a positioning coordinate of an unknown node. According to the method, the more accurate averagehop distance between the anchor node and the unknown node can be obtained, the calculated amount is small, and the positioning accuracy and stability are improved.

The invention relates to a preceding vehicle detection method based on Bayesian statistical decision. A preceding vehicle detection system comprises a controller disposed on a host vehicle, a single-line laser radar and a camera which are disposed at the front end of the host vehicle and which are electrically connected with the controller. The controller includes a laser radar information processing module, a machine vision information processing module, and a radar visual information fusion decision module. The radar visual fusion decision module includes secondary information fusion which comprises firstly establishing a time-space correspondence model of radar visual information so as to lay the foundation for establishing a visual region of interest; and secondly establishing a vehicle verification function to perform Bayesian decision based on a minimum posterior risk principle to finally verify the existent accuracy of a preceding vehicle. Compared with a traditional preceding vehicle detection system based on laser radar and machine vision, the preceding vehicle detection method of the present invention adds the Bayesian statistical decision based on a minimum posterior risk criterion to the information fusion module so as to effectively reduce a false alarm rate and improve the preceding vehicle detecting accuracy of an intelligent system.

An aircraft wing rib dynamics determination method based on the formation superposition method. The determination method includes steps: guiding into an aircraft wing rib initial geometric model and a dynamic load; transforming the geometric model of a wing rib into a finite element model; initializing pseudo density values of units of portions needed to be optimized of the finite element model, integrally substituting the wing rib finite element model attached with the pseudo density values in a solver for modal analysis; based on modal analysis results, adopting the formation superposition method for approximate analysis of wing rib dynamic response; based on dynamic analysis result, solving deformation energy of the wing rib, and adopting the Newman expansion difference method to solve the deformation energy and sensitivity of the pseudo density values of restriction; transmitting these values to an optimizer to obtain pseudo density value after updating; and if convergence criteria are met, stopping iteration, if not, returning to the finite element solving portion to generate a final dynamic design scheme for the wing rib. By the aircraft wing rib dynamics determination method based on the formation superposition method, working conditions of dynamics are taken into consideration, aircraft weight is lowered and aircraft performance is improved.

The invention discloses a desktop icon display method and device. The device comprises an icon body color obtaining module used for obtaining the body color vector quantity C1 of an icon on a terminal desktop, a background area obtaining module used for obtaining the background area where the icon is located, a background area body color obtaining module used for obtaining the body color vector quantity C2 of the background area, and a processing module. The processing module is used for adjusting the color vector quantity of a designed pixel in the icon when C1 and C2 are located in the same preset color range, and therefore the icon and the background area where the icon is located can be distinguished; accordingly, color difference is produced on the icon and the background area where the icon is located, a user can distinguish the icon from the desktop background easily, so that user operation efficiency is improved, and user experience is improved. Meanwhile, processing is simple and effective, the computing amount is not large, and no burden is added to the system.

The invention relates to a method for evaluating a power supply reliability index of a planned distribution network based on characteristic parameters, comprising the following steps: S1, obtaining statistical data of distribution network characteristic parameters, planned funds and power supply reliability indexes in historical years; S2, establishing an association analysis model of the distribution network characteristic parameters and fault outage reliability indexes, and evaluating the fault outage reliability indexes in the planning year; S3, establishing an association analysis model ofthe planned funds and pre-arranged power outage reliability indexes, and evaluating the pre-arranged power outage reliability indexes for the planning year; and S4, accumulating results of the S2 step and the S3 step to obtain a total power supply reliability index evaluation result. The invention can be independent of the detailed topology structure of the distribution network, and only needs toestablish the association analysis model between the characteristic parameters of the distribution network and the reliability indexes, thereby obtaining the power supply reliability indexes of the planning year.

The invention provides a narrow-view-field star matching method based on error vector matching. By aiming at the problem of matching difficulty between observed stars and a star catalog since a narrow-view-field optoelectronic device observes few stars in the same moment, a principle that the system error of the optoelectronic device is basically unchanged in a certain time and space range is utilized; recent historical frames of the optoelectronic device are combined; and the error vector accumulation effect is utilized for realizing the star matching of the narrow-view-field optoelectronic device. The narrow-view-field star matching method has the beneficial effects that the narrow-view-field star matching method can be applicable to the narrow-view-field optoelectronic device; the matching correctness is high; the requirements on image extraction and the star catalog are low; the parameter setting is simple; and real-time processing can be realized.

The invention provides a robot path planning method and system. The method comprises the following steps that S1 a server can plan a first work path required by the work of a robot in a work map according to the work task of the robot and the passing data of a current work environment; S2 the robot works according to the first work path, and detects the current position of the self on the work map; S4 when the robot detects that the robot reaches a second network region in the work map from a first network region in the work map, the robot plans a second work path in the second network regionin the work map according to the work task and the passing data in the second network region, and works according to the second work path. Through the distributive path planning design, the robot canstill meet the work requirement through the self path planning in weak network environment.

The invention discloses an expansion Kalman filtering based multiple temperature sensor integrating method. During temperature measurement and calculation of a heater, model calculation and measurement values of different temperature points are integrated, temperature measurement precision is improved and system safety operation is ensured when temperature sensor failure occurs. According to the invention, theoretical mutual relation of the temperature points and system input can be reflected and prior temperature sensor information can be utilized fully. Besides, the calculation amount of a control device is not large and real time data update can be implemented. When temperature sensors are not disposed in a to-be-detected position, the temperature of the to-be-detected position can be estimated by utilizing data integration of a system model and measurement values. According to the invention, hardware design difficulties and hardware circuit cost are reduced and the temperature of the to-be-detected point can be estimated correctly. When single-point temperature sensor failure occurs, temperature of each temperature point can be estimated according to data of other temperature sensors and a system model, so that safe and effect operation of a heating system is ensured and system safety level is improved.

The invention provides a method for monitoring the dynamic deflection of a high-speed rail bridge based on a single-frequency GNSS positioning technology. The method includes following steps: S1, a receiver obtains GNSS single-frequency carrier phase observation values of a base station and a bridge monitoring site in real time; S2, a to-be-monitored satellite is selected by employing a factor dual restraint method of E-ADOP and GDOP; S3, a convection layer real-time model is established based on a spherical cap harmonic analysis, and a convection layer delay is resolved; S4, a multi-path real-time model is established, a multi-path error correction value is resolved, and a satellite-earth distance value is updated according to the error correction value; S5, a GNSS single-frequency carrier phase double-difference observation quantity is calculated based on the convection layer delay and the updated satellite-earth distance, and the ambiguity is resolved; and S6, performing back substitution of the ambiguity, calculating a three-dimensional coordinate value of the monitoring point of the bridge in real time, and obtaining a dynamic deflection value of the bridge. According to the method, the operation and the calculation are simple, the dynamic deflection of the high-speed rail bridge can be automatically monitored in real time, measuring data is continuously corrected throughmodeling, and the accuracy of dynamic monitoring of the bridge is improved.

The invention relates to a high-voltage circuit breaker mechanical state fault diagnosis method. The method includes the following steps that: 1, a characteristic parameter matrix, a basic state transition coefficient and a circuit breaker mechanical state parameter are established respectively; 2, the above three fault analysis parameters are written into the online monitoring system of a circuit breaker of a certain type; and 3, primary fault diagnosis is performed on the circuit breaker through an equation that phin+1=beta*Xn+1<T>, if phin+1 is larger than 0 and is smaller than 0.5, the mechanical state of the circuit breaker is free of fault hidden risks, if phin+1 does not range from 0 to 0.5, the mechanical state of the circuit breaker has a fault hidden risk, when the fault hidden risk exists on the circuit breaker, the value of the mechanical state parameter is corrected to be 0 or 1 according to an actual mechanical state. The high-voltage circuit breaker mechanical state fault diagnosis method of the invention has the advantages of simple and fast calculation, small computation quantity and high accuracy.

The utility model relates to a downlink synchronization method for a time division multiple access system (TDMA system). According to the utility model, the downlink synchronization method comprises the following steps: receiving and processing data, calculating all chip power sum of the received data and carrying out relevant calculations of downlink synchronization codes to the received data, carrying out normalization processing to the chip power sum and relevant calculation results, judging the downlink synchronization codes, completing the other processes of downlink synchronization in cells. Compared with the prior art, the utility model has the advantages of simple process, less added calculated amount, capability of anti-interference from uplink power and other timeslot power, and higher accuracy of identification to downlink synchronization codes.

The invention discloses an SAR image similarity measuring method based on point set contrast. Firstly, two-dimensional scattering center extraction is carried out to reference SAR images to be matched and contrast SAR images, thus obtaining a reference scattering point set and a contrast scattering point set; the reference point set and the contrast point set are divided into a plurality of gathered point groups according to the distribution of the scattering points in the two-dimensional space; the coordinates of the two point sets are mapped to a same two-dimensional matching space; determining cross-image point group pairs between the reference point set and the contrast point set according to the distances among the point groups in the point sets; combining the distance similarity and gray similarity of every cross-image point group pair to obtain final similarity of the cross-image point group pair; and synthesizing the similarity of all cross-image point group pairs as the similarity among the SAR images. According to the method of the invention, the problem that the image similarity of the images obtained by the existing similarity judging method is inaccurate is solved; and the method of the invention is featured by simple realization steps, strong stability and little demanded calculation quantity and memory consumption.

The invention provides a redundant metal filling method, which includes: dividing a layout into a plurality of panes which are not overlapped, roughly regulating metal density in the panes according to the regular filling method, and finely regulating and correcting metal density in the panes according to the filling method based on a model. The invention further provides a redundant metal filling system, which comprises a pane dividing module, a first filling module and a second filling module. By the redundant metal filling method and the system utilizing the same, metal is filled according to density classification, the range of the metal density is classified, filling templates are filled by metal of different density in different classification, accuracy of redundant filling can be guaranteed, and computing quantity of data is small.

The invention discloses a three-dimensional model retrieval method based on a sketch. According to the method, a new sketch structural characteristic is provided and applied to three-dimensional model retrieval, and therefore the effect of three-dimensional model retrieval based on the sketch is improved. The method includes the steps that firstly, view angle profile diagrams are extracted from three-dimensional models in a database, and then KRD characteristics are extracted from the view angle profile diagrams and stored in the database. After the KRD characteristics are extracted from a sketch input by a user, the view angle profile diagram similar to the sketch is found out from the database through the EMD characteristic matching method, and accordingly a three-dimensional model corresponding to the view angle profile diagram is determined. According to the method, the characteristics of the sketch in structure are exploited fully, and the method has good robustness and accuracy, meanwhile is not large in calculation amount and can completely meet the requirements of practical application.