197results about How to "Simple algorithm" patented technology

The present invention relates to a method for the optical self-diagnosis of a camera system and to a camera system for carrying out the method. The method comprises recording stereo images obtained from in each case at least two partial images (2, 3) creating a depth image, that is to say a disparity map (5) given by calculated disparity values, determining a number of valid disparity values (6) of the disparity map (5), and outputting a warning signal depending on the number of valid disparity values determined. A device for carrying out such a method comprises a stereo camera (1) having at least two lenses (7,8) and image sensors, an evaluation unit and a display unit.

Equipment enables an improved efficiency in network bandwidth usage, and an improved upper-layer throughput even when abrupt change occurs in input traffic. The equipment includes an input traffic collector which collects and retains an input traffic amount of each input port for one period at preset periods; a bandwidth set processor which calculates a bandwidth for use in each input port from the input traffic amount retained in the input traffic collector, and calculates the corresponding number of virtual concatenation member paths from the difference of the bandwidth in use and a virtual concatenation path bandwidth having been allocated to the input port, and issues an addition command or a deletion command for adding or deleting the virtual concatenation member paths for the calculated number; a virtual concatenation controller which sets a virtual concatenation path bandwidth against the traffic input from the plurality of ports; and a link capacity adjustment scheme controller which sets and changes the virtual concatenation to the virtual concatenation controller, based on the addition command or the deletion command of the virtual concatenation member paths issued by the bandwidth set processor.

The invention relates to an online monitoring and early warning system for vibration of an intelligent motor, which belongs to the field of intelligent motor monitoring. The system comprises a vibration sensor, a processing and analysis module, a calendar module, a storage module, a communication module, a field alarming module and a portable device. the vibration sensor measures the real-time vibration data of the motor, the data are transmitted to the processing and analysis module, the operation and the working state of the motor are analyzed and judged in combination of data measured by an electric parameter measuring module and a rotation speed measuring module, and in view of abnormal vibration features under different load rates, field alarming or early warning to the portable device is carried out. Besides, early warning is also carried out for the changing trend of the vibration frequency and the changing trend of the amplitude. The system can realize online vibration monitoring and early warning when the motor is abnormal or in an abnormal working state, timely finding and timely processing are carried out, expanding of motor fault can be effectively avoided, the maintenance efficiency is greatly improved, the structure is simple, the cost is low, the measurement is accurate, and the system can be widely applied to intelligent and online vibration monitoring on middle and small-sized motors.

The invention provides a method for identifying surface electromyography (sEMG) on the basis of empirical mode decomposition (EMD) sample entropy. The method comprises the following steps: acquiring the corresponding sEMG from the related muscle tissue; performing EMD by using an actuating signal of the sEMG determined by energy threshold; adaptively selecting a plurality of intrinsic mode function (IMF) components comprising electromyographic signal effective information according to a frequency availability method; superposing the IMF components to serve as effective electromyographic signals and evaluating the sample entropy; and inputting the sample entropy serving as feature vector into a clustering classifier based on a spindle kernel clustering algorithm to realize identification on an upper limb multi-locomotion mode of the electromyographic signal. The sample entropy can disclose the complexity of the sEMG from a short time sequence, represents the tiny change condition of the electromyographic signal well, has high antijamming capability, simple algorithm and high calculation speed, and is particularly suitable for real-time processing of the electromyographic signal.

The invention relates to an image processing technique, particularly relates to an image data processing technique in an ultrasound image, and more particularly to a method and a device for reducing noise in the ultrasound image. The method provided by the invention comprises the following steps: reading ultrasound image data; selecting an adjacent region with each pixel point as a center; computing the variance mean value ratio of the pixel points in each direction in the adjacent regions; computing discrimination factors according to the variance mean value ratio; respectively distinguishing the adjacent regions of the pixel points as an edge region, a non-edge region and a semi-edge region according to the discrimination factors; respectively carrying out filtering processing on the different edge regions; and outputting the processed ultrasound image data. According to the technical scheme provided by the invention, the edge enhancement and spot suppression of images can be simultaneously realized; and the method provided by the invention has the advantages of simple algorithm, self adaptation, strong practicality and the like, is easy to achieve by hardware, and can be conducted in real time.

The invention discloses a device and a method for eliminating the grid-connected current zero-crossing distortion of a unipolar control single-phase grid-connected inverter, which belong to the field of transformation of electrical energy and aim to solve the problem of the grid-connected current zero-crossing distortion of the conventional unipolar control single-phase grid-connected inverter. The method provided by the invention comprises the following steps of: 1, obtaining an instantaneous value ig of a grid-connected current and the instantaneous value e of a power grid voltage, and setting the amplitude Im<*> of a given grid-connected current of an input signal; 2, obtaining the instantaneous value ig<*> of the given grid-connected current, comparing the ig<*> with the ig, and generating two paths of switching signals as control signals of a second bridge arm; 3, obtaining a phase difference; and 4, commonly inputting a sine value of a current phase angle of the power grid voltage and the phase difference obtained by the step 3 into a switching signal generation module, and generating the two paths of switching signals as the control signals of a first bridge arm to realize closed loop control over the grid-connected current and eliminate the grid-connected current zero-crossing distortion of the conventional unipolar control single-phase grid-connected inverter.

The present invention relates to a laser ranging technology and provides a laser phase ranging module. The laser phase ranging module includes a laser emitting assembly, an echo receiving and pre-processing assembly, a local receiving and pre-processing assembly and an FPGA processor; the FPGA processor generates two clock frequencies f1 and f2 by using a phase-locked loop, and a square wave signal with a measurement ruler frequency fs is generated through frequency division based on the clock frequency f1, and the square wave signal is transmitted to the laser emitting assembly; the laser emitting assembly emits laser to a target; echoes reflected by the target are processed by the echo receiving and pre-processing assembly, and then, square waves A of which the frequency is fs can be outputted; the local receiving and pre-processing assembly partially leads in the emitted laser and performs the same pre-processing as the echo receiving and pre-processing assembly on the led-in laser, and then outputs square waves B; and the FPGA processor synchronously reads the square waves A and the square waves B through using the clock frequency f2 and calculates out the distance of the target through data processing. According to the laser phase ranging module, frequency mixing processing is not required, and one measurement ruler can be adopted to realize remote precise ranging. The laser phase ranging module is suitable for single-point ranging and multi-path simultaneous ranging equipment.

The invention discloses a hybrid noise filtering method for removing Gaussian noises and impulsive noises. The method comprises: for hybrid noises of Gaussian noise and impulsive noises in a pantograph image, the impulsive noises are suppressed by an advanced boundary discriminative noise detection (ABDND) algorithm including noise pixel detection, noise pixel verification and noise pixel filtering; for the image after suppression on the impulsive noises, pixel points are processed by using a sliding window, all points in the window are ranked based on gray values, maximum-value and minimum-value points are removed, weight distribution is carried out on the rest pixel points and weighted calculation is carried out, wherein a calculation result is used as an output gray value of the central point of the filtered window to replace the original gray value of the point; and the two kinds of algorithms are repeated to carry out progressive filtering, thereby filtering the hybrid noises in the pantograph image. The method having advantages of simple principle and good filter effect has the great significance in digital image processing.

The invention relates to a method for diagnosing a bearing fault, which comprises the following steps of: (1) acquiring a vibration acceleration signal of a bearing by using an acceleration transducer; (2) acquiring a form spectrum of the vibration acceleration signal by adopting a morphologic closing computation mode; (3) determining parameters of a morphologic structural unit according to the form spectrum in the step (2), and extracting a fault impact sequence; and (4) observing whether an obvious peak is present at a fault characteristic frequency on the form spectrum in the step (2), or observing whether the extracted impact sequence in the step (3) has obvious periodicity and corresponds to the corresponding fault characteristic frequency to judge whether a rotating machine has a fault. By the method, signals are not required to be filtered, and a window effect is avoided. The method is simple and has better adaptability, and the parameters are not needed to be determined in advance. Impact pulses generated due to the bearing fault can be directly extracted, other unrelated information is eliminated, and the method has obvious physical significance. The structure is simple, the computing speed is high, and real-time monitoring can be realized.

The invention relates to a method and a system for real-time monitoring of an analog wire coated by ice of an overhead power transmission line. The method comprises the following steps of: (1) mounting a section of analog wire having same model and material with the line lead wire on a tower of the overhead power transmission line; (2) arranging a measuring head on the analog wire for measuring weight of the analog wire; (3) ordering that coating ice of various types and with different section shapes is converted to a circular glaze section with density of 0.9g/cm<3>, wherein calculation formula of ice coating thickness b of the analog wire in a unit length is FORMULA, wherein D (mm) is the outer diameter of the analog wire; a known parameter w1 is self-weight load of the analog wire; and a known parameter w3 is vertical total load when the wire is coated by ice and can be measured by the measuring head. The invention has the advantages of reasonable and correct measurement of synthetical load of the line coated by ice and thickness of the coating ice, simple algorithm and accurate result.

The invention relates to an MP3 compressed domain audio segmentation method which extracts characteristic parameters from MP3 compressed audio data; then audio information is processed by mute segmentation; non-mute is processed by speech segmentation; speaker changing detection is carried out on a speed segment by a statistical decision model, finally a segmentation result is achieved by a speaker changing point. Through the experimental result, compared with the prior segmentation method, the segmentation method adopted by the invention has remarkable improvement on accuracy, recall ratio and comprehensive performance.

A microgrid photovoltaic power station generating capacity combined forecasting method belongs to the new energy power generation output forecasting field. The method comprises the following steps: 1) taking generating capacity data of a photovoltaic power station in a microgrid as input/output data of a forecasting model; 2) carrying out generating capacity forecasting through wavelet transform and a BP neural network; 3) carrying out generating capacity forecasting by utilizing a particle swarm algorithm to optimize a support vector machine; 4) obtaining model test weights by utilizing a variance-covariance combination method; and 5) calculating combined forecasting result according to the weights and model output corresponding to the new input. Compared with an existing forecasting method, the forecasting method starts from a new angle, avoids considering complex external factors and adopts a combination method, and has the advantages of being good in real-time performance, high in accuracy and high in adaptability and the like.

The invention provides an obstacle avoiding method for an underwater navigation device. The obstacle avoiding method for an underwater navigation device makes the determination by utilizing the information of the distance to an obstacle and the angle between the underwater navigation device and the obstacle to obtain the expected navigation angle so as to adjust and plan the navigation track of the underwater navigation device, thus the requirements of enabling the remote underwater navigation device safely to reach an navigation point can be met. The obstacle avoiding method can be used as the navigating direction adjusting strategy of the underwater navigation device to realize the aim of ensuring the safety of the underwater navigation device, and has the characteristics of simpleness of the algorithm, high efficiency, reliability and convenience in controlling. The obstacle avoiding method also can be applied in the partial route planning and the obstacle avoidance of underwater robots and automatic guiding trolleys.

The invention provides a wind power plant flexible direction current grid connection subsynchronous oscillating current detection and suppression method. According to the detection method, through subsynchronous dq rotational coordinate transformation, three-phase currents on the converter valve side of the wind power plant side are transformed to a two-phase dq rotational coordinate system from a three-phase abc stationary coordinate system, and then subsynchronous frequency current components are obtained through filtering of a low-pass filter. The suppression method includes the steps that according to the magnitude of subsynchronous frequency current components output by a wind power plant, a converter on the wind power plant side generates corresponding subsynchronous frequency voltage components on the alternating current side, and then current components which are the same as the subsynchronous frequency current components output by the wind power plant in magnitude and opposite to the subsynchronous frequency current components output by the wind power plant in direction are generated, the subsynchronous frequency current components are offset by the current components, and then subsynchronous oscillating currents are suppressed. According to the suppression method, a control system of a wind power plant unit does not need to be changed, no hardware device needs to be additionally arranged, the amplitude of the subsynchronous frequency current components in alternating currents can be reduced as much as possible within the alternating current voltage allowance fluctuation range, the method is simple, and the calculated quantity is small.

The invention provides a real-time network flow identification method based on a support vector machine, wherein the method has low complexity and a high identification accuracy rate and aims to solve problems of an existing network flow identification method. According to the method, the time window method is adopted, it is only required that simple and effective characteristics are obtained from data packet headers of a network flow, the support vector machine algorithm with low algorithm complexity and small computation amount is adopted, and therefore rapid modeling can be carried out to generate a classifier, the high identification accuracy rate can be achieved under the circumstance of small samples, measurement and identification can be carried out on multiple applications of the network flow at any time point, and the real-time multi-application requirement is met.

The invention belongs to the technical field of ultrahigh frequency radio frequency identification (UHF RFID) and discloses a method and a device for decoding a miller code modulated by a subcarrier. The method and the device are characterized by implementing the following steps: with two clocks, counting the cycle length of a phase flipping position of the miller code and generating a pulse PA in half of one subcarrier cycle in the phase flipping position when the counting value reaches one subcarrier cycle; counting the cycle of the miller code by using another counter and generating a pulse PB when the counting value reaches the cycle of the miller code; and judging whether phase flipping pulse PA is generated in the code element cycle corresponding to the pulse PB when one pulse PB is generated; if yes, decoding the corresponding miller code into original data 1; and if not, decoding the corresponding miller code into original data o. The method and the device are simple in algorithm and structure and high in decoding efficiency.

The invention discloses an infrared weak and small target detection and tracking method. According to an improved four-order partial differential equation method, an original infrared image is processed to obtain an infrared image with background suppression and target enhancement achieved, the position information and number information of candidate targets in the obtained infrared image are extracted according to a block adaptive threshold segmentation method, finally multi-target state and number estimation is carried out on the extracted position information and number information of the candidate targets according to Gaussian Mixture Cardinalized Probability Hypothesis Density (GM-CPHD) filter, and the states and number of multiple infrared weak and small targets are accurately and stably estimated through the GM-CPHD filter. The invention further discloses an infrared weak and small target detection and tracking device. Through the method and device, implementation is easy, the effect is obviously superior to that of a traditional background suppression method, the traditional multi-target tracking data association problem is avoided, and the multi-target states and number changing along with time can be estimated in time more stably.

The invention relates to a character recognition method based on human body contour outline, which particularly relates to a method for extracting human body contour outline information from single fixed video camera, and distinguishing people according to the characteristic information. The method includes the steps: (1) extracting human body contour outline foreground image in video of target character; (2) extracting height, width, gait period and other information from the human body contour outline image and zooming human body contour outline image; (3) synthesizing gait energy diagram; (4) evaluating gradient histogram of gait energy diagram; (5) carrying out principal component analysis and nearest neighbor matching. The invention has the advantages of easy realization, strong robustness, high accuracy, strong real time property or the like, and can reduce noise influence and show human body contour outline information simultaneously, so the method can be widely used in non-contact type long distance personal identification, intelligent monitoring, auxiliary criminal case solving, etc.

The invention belongs to the technical field of agriculture, in particular relating to a DSP (Digital Signal Processor)-based rice weed recognition system and method. The DSP-based rice weed recognition system consists of an image acquiring module, a rice weed recognition module and an image displaying module, wherein the image acquiring module and the image displaying module are connected with the rice weed recognition module respectively by virtue of an I2C (inter-integrated circuit) bus and a BNC (Bayonet Nut Connector) data bus; the image acquiring module consists of a CCD (charge-coupled device) camera supporting high-definition image and an SAA7115 decoding chip of Philips, the image displaying module consists of a Gadmei PL7006 liquid crystal television used for displaying a television signal, and the rice weed recognition module consists of a DM642DSP image processing chip, and expanding SDRAM (synchronous dynamic random access memory) and SAA7121 (system application architecture 7121) decoding chips. According to the invention, the real-time recognition of weeds in rice fields can be realized, and the system miniaturization and portability can lead the system to be capable of being flexibly arranged on rice planting field equipment, and improving the practical application range of the system.

The invention relates to the technical field of wireless sensors, and discloses a wireless sensor network node self-positioning method based on a mobile anchor node, which is used for solving a problem of high complexity when a mobile anchor node positioning method is adopted. The method comprises the following steps of: building a two-dimensional rectangular plane coordinate system by aiming at a monitoring area so as to locate a sensor network monitoring area in a first quadrant completely and position an initial position of the anchor node in the origin of coordinates. The anchor node does not move when positioning broadcasting location information at interval or positioning the broadcasting location information, all the unknown nodes can receive the location information through rotating a directional antenna and store the received location information and signal strength, and the location information with the largest signal strength is selected as the available self-positioning data after the unknown nodes do not receive the location information. All the unknown nodes receive different location information for at least two times along with the movement of the anchor node, and a self position is computed through utilizing the selected available self-positioning data.

The present invention discloses a video data compression method for KVM application. Said method includes the following steps: for first frame image coding said image data, obtaining image coded data, then using aid image data and data whose data length is smaller in the image coded data as result output; for the image after first frame comparing current frame image data with last frame image data to obtain difference data of both them, and respectively coding current frame image data and difference data to obtain current frame image coded data and coded difference data, then outputting current frame image data, current frame image coded data, difference data and the data whose data length is smallest in coded difference data.

The invention discloses a lane line detection method and device and a computer readable storage medium. The lane line detection method comprises the following steps: acquiring multi-frame point clouddata; optimizing the pose of the multi-frame point cloud data to obtain the positions of all frame point clouds; obtaining the position of the multi-frame point cloud data; obtaining the position of the multi-frame point cloud data; obtaining a local map by cloud local mapping base on that multi-frame point cloud data; converting the format of the local map into an image format; detecting the lanelines in the local map of the image format, and obtaining the lane line data. The laser measuring principle is adopted to obtain the multi-frame point cloud data for realizing the detection of the lane line, the blind area of the field of vision when the lane line is detected by the single frame image or the single frame point cloud can be avoided, the lane line data in a larger range can be detected, and the algorithm is relatively simple.

A method, computer program and system for performing a find and replace editing operation of a text starting from a couple of initial find and replace expressions provided by the user, applying each rule defining admissible inflected forms of the initial find expression and the initial replace expression, to the initial find and replace expression to identify all the derived couples of find expression and the replace expression which are valid for the rules. The find expression and the replace expression of the derived couples correspond to inflected forms of the initial find and replace expressions. Then, for each match in the text of the find expression of the derived couples, proposing to the user the derived couples for replacement in the text.

The user interface is done through the usual graphical user interface of a text editor or through a text based terminal user interface. The find and replace operation may be passive through the execution of a program including find and replace commands or interactive by asking the user to give his choices during the execution of the program.

A method for dispelling interlace and dispelling speed match, first according to the matching mode for speed of transmission channel, judges that whether or not actualize the stiletto transmission channel, if yes, the symbol serial of present frame of transmission channel is operated the first dispelling interlace; if no, the symbol serial of present frame of transmission channel is operated the first dispelling interlace, and at the same time the symbol serial of present frame of transmission channel is operated the repeating procession of dispelling byte; and then the processed symbol serial is written in the random memory of first interlace; at last if said first interlace random memory has the symbol serial of transmission channel and transmission time interval, and the dispelling stiletto process is done according to the interval symbol of transmission time. Using the invention, it can reduce the RAM capacity of first interlace, adopt the gate-control clock to process, and save the power consumption.

The invention discloses a Doppler distorted acoustic signal correction method based on a microphone array. The Doppler distorted acoustic signal correction method can correct Doppler distortion in the acoustic signal detected by a rail edge acoustic diagnosis system, and accurate diagnosis of train bearing faults can be achieved. The Doppler distorted acoustic signal correction method comprises carrying out Hilbert transformation to a detection signal, obtaining a complex signal, windowing the complex signal, obtaining a signal segment, calculating the acceptance angle corresponding to each signal segment, constructing a resampling time sequence in dependence on the relationship between the emission time and the reception time, carrying out cubic spline difference value resampling to a signal acquired a microphone in the center of the array, carrying out Hibert transformation and fast Fourier transform to a correction signal, and carrying out diagnosis. Compared with a conventional method based on a single microphone, the Doppler distorted acoustic signal correction method based on the microphone array is advantaged in that the algorithm is simple, the calculated amount is low, prior knowledge is not needed, noise robustness is good and the like, and the Doppler distorted acoustic signal correction method has obvious advantages in practical application.

The invention discloses an image brightness compensation method for image coding, belongs to the field of image processing, and solves the problems of complexity, low speed and low compression efficiency of the conventional algorithm for performing brightness compensation for multi-viewpoint video coded images. The image brightness compensation method comprises the following steps: determining brightness difference between a current block P0 and a reference block PS by comparing the brightness difference between a current block template X0 and a reference block template XS, thereby realizing the brightness compensation for the current block; and utilizing a series of solved candidate weight matrixes B alpha, solving the optimal Bj and assigning the optimal Bj to weight matrixes B of the reference block PS, thereby solving the brightness difference between the current block template X0 and the reference block template XS according to B(X0T-XST), which serves as the brightness difference between the current block P0 and the reference block PS for brightness compensation.

The invention relates to a working harmonic displacement judging method of a space-borne synthetic aperture radar. The judging method comprises the following steps: calculating the leading-edge and trailing-edge echo time of a transmitting signal and a sub stellar point interference fringe through parameters input and further calculating the slant range between a corresponding radar and an interference area according to results obtained and an visual angle of the interference area relative to the corresponding radar; and determining the congregation of pulse recurrence frequency and further judging the working harmonic displacement of a radar antenna and verifying judging results. The invention can complete the tasks by using a receiver without the arrangement mode of a plurality of traditional receivers, thereby saving labors and materials and providing essential information for identifying the reconnaissance intention of a synthetic aperture radar satellite of adverse party and organizing the effective deceiving interference of the synthetic aperture radar satellite of own party.

The invention relates to a road mark line damage detection method based on unmanned aerial vehicle shot road images. The method comprises the steps of: for a preprocessed image, detecting white mark lines on two sides of a road by adopting a Hough transformation method for detecting straight lines, then positioning the road, calculating a threshold to binarize the image, removing a repeat area ofadjacent images using an image matching method, finally, extracting the mark lines of the road, and performing damage detection on the mark lines. The road mark line damage detection method based on unmanned aerial vehicle shot road images effectively solves the problems of low efficiency, resource waste and the like of the traditional manual view method, solves the influence of road color changesunder different light on mark line extraction and the problems that the damaged mark lines are difficult to analyze and the like, is free from the limitations of time and space, and has good applicability and reliability.

The invention provides an LED lighting-based color measurement multispectral imaging system. The system comprises a main control computer and a closed light box; the top of the light box is provided with a digital camera; the bottom of the light box is provided with an LED light group control device, a drawer type bearing stage and an LED light group; a measured object is arranged on the drawer type bearing stage; and the main control computer controls the spectral power distribution of the LED light group to be in a reciprocal relation with the spectral sensitivity curve of the digital camera, drives the LED lamp group control device to turn on a corresponding LED lights and control the lighting degrees of the LED lights, and controls the digital camera to shoot the image of the measured object when the LED lights are turned on and extracts camera response to perform calculation so as to obtain the spectral reflectance of each pixel of the measured object. With the LED lighting-based color measurement multispectral imaging system of the present invention adopted, conventional limitations can be broken. The LED lighting-based color measurement multispectral imaging system is applied to fields where a conventional color measurement instrument cannot be used.

The invention relates to a machine vision-based glass bottle liquid level detection method which comprises the following steps: placing a certain qualified glass bottle at a station to be detected, and collecting a template for subsequent matching treatment; after the glass bottle to be detected arrives at a shooting station through a conveying belt, shooting a liquid level image of the glass bottle; binarizing the preprocessed image; matching a bottle cover through a geometric matching method to detect the position of the bottle cover; establishing a coordinate system; setting a region of interest (ROI) of a liquid level-qualified region; matching a liquid level line through the geometric matching method. An algorithm used in the machine vision-based glass bottle liquid level detection method is simple, and the number of steps is small; quick detection based on the image is realized, and the detection efficiency is high; the influence caused by the environment is less, and the accuracy is high.