420results about How to "Anti-interference" patented technology

The invention relates to a surface defect detection method based on positive case training. The method comprises two steps of image reconstruction and defect detection, image reconstruction is to reconstruct an inputted original image into an image without defects, reconstruction steps are as follows, artificial defects and noise are added to the positive case image during training, a self-encoderis utilized for reconstruction, the L1 distance between the reconstruction result and the noise-free original image is calculated, the distance is minimized as a reconstruction target, in cooperationwith the generative adversarial network, the reconstruction image effect is optimized; defect detection is performed after image reconstruction, LBP features of the reconstructed image and the original image are calculated, after difference between the two feature images is made, the two images are binarized based on the fixed threshold, so the defects are found. The method is advantaged in thatthe depth learning method is utilized, the method can be sufficiently robust to be less susceptible to environmental changes when positive samples are enough, moreover, based on regular training, themethod does not rely on a large number of negative samples and manual annotation, the method is suitable for being used in real-world scenarios, and the surface defects can be better detected.

The invention discloses a six-freedom-degree locating method and system used in the process of grabbing objects by an industrial robot. According to the scheme, natural features and local feature points on the surfaces of the objects to be grabbed can be extracted from images, and then recognizing and locating can be carried out through the features. According to the method, next appropriate movement of a robot can be calculated according to joint angles of the robot and a kinematic model and can be executed by the robot. Finally, according to the movement process of the robot and the recognition results of two times, 3D coordinates of vertex points on the surfaces of the objects can be calculated, a corresponding coordinate system of the objects can be established, six-freedom-degree poses of the objects can be obtained, and therefore the corresponding objects can be accurately grabbed.

The invention provides an indoor location and navigation method based on LED lighting. Each LED has a programmable ID code, each LED lamp has a different and unique emitting power change mode, a visible data light signal which can be identified by a receiving end is formed, and the programmable ID codes are emitted in the form of time division multiplexing; the receiving end parses the received data light signal, and calculates the received power from different LED lamps; and the initial 3D coordinates of the receiving end are calculated according to a location algorithm, and the initial 3D coordinates are modified through a nonlinear fitting algorithm. The invention correspondingly provides an indoor location and navigation device applied to the method. The brightness change of the LEDs cannot be identified with the naked eye, and thus, an LED lighting system is built. The method can still provide precise location service for users when an individual LED is abnormal. By correcting the coordinates through the nonlinear fitting algorithm, centimeter-level location accuracy is guaranteed.

The invention provides a gear failure keyless phase angle domain average computing order analysis method. The method comprises the steps that low-pass phase-protection filtering is conducted on collected accelerated speed signals, and time-frequency distribution of the signals is calculated through smooth pseudo Wigner-Ville distribution; the instantaneous frequency of a gear case rotary shaft is estimated according to a Viterbi optimal path search algorithm, key phase signals are used for estimating a model to conduct point-by-point integration on the instantaneous frequency, and an estimated key phase signal is obtained, calculation order analysis is conducted on the vibration accelerated speed signals through equal angle resampling and the angular domain average technology, and the order spectrum based on instantaneous frequency estimation is obtained. The order spectrogram can effectively reflect the feature information of gear case failures. The gear failure keyless phase angle domain average computing order analysis method integrates the advantages of the smooth pseudo Wigner-Ville distribution, the Viterbi optimal path search algorithm, the angular domain average technology and the calculation order analysis, and can effectively conduct fault diagnosis on a gear case working on the working station of variable speeds.

The invention relates to a time-frequency synchronization joint estimation method based on a multi-carrier receiver of a digital television media broadcast (DTMB) system. The method is characterized by comprising the following steps: step 1, carrying out frame header mode recognition and frame header position coarse estimation; step 2, generating a pseudorandom noise (PN) sequence A of a zero phase matched with the frame header mode by a local PN generator, and carrying out carrier frequency offset estimation by utilizing a step-variable frequency sweeping method; step 3, correlating received data with the PN sequence A after compensation carrier is subjected to large frequency offset, so as to estimate a serial number of a frame; generating a PN sequence B of a matched phase matched with the frame header mode, and then correlating the PN sequence B with the received data so as to obtain a frame header position fine estimation value; and step 4, carrying out self-correlation on the frame header position according to the frame header position fine estimation value so as to obtain a carrier frequency offset fine estimation value, and summarizing a carrier frequency large offset estimation value and the carrier frequency offset fine estimation value so as to obtain a final carrier frequency offset estimation value. In the invention, the time-frequency synchronization joint estimation method based on the multi-carrier receiver of the DTMB system is used, thereby facilitating the realization of share of operation data and parameters and reducing the arithmetic labor.

The invention discloses a graft modified polymer material, a polymer material adsorbing mercury ions prepared from the same and a preparation method thereof. The graft modified polymer material is prepared by grafting a polymer substrate P to a monomer A or monomer B, wherein the molecular structure of the monomer A comprises at least one C=C double bond and at least one epoxy group; and the molecular structure of the monomer B comprises at least one C=C double bond and at least one anhydride group. The epoxy group or anhydride group on the surface of the graft modified polymer material reacts with the terminal amino of a DNA (Deoxyribonucleic Acid) single strand with an amino-modified terminal to obtain the polymer material adsorbing mercury ions. The preparation process of the invention is simple; the prepared material can adsorb mercury ions with high selectivity; the lower limit on concentration for removing mercury ions is extremely low; and the invention has good application prospects in terms of drinking water treatment, industrial wastewater advanced treatment, recycling of mercury ions, and the like.

The invention provides a spam detection device and a method based on user relationship mining and credit evaluation. The detection device comprises a user relationship modeling device, a fingerprint collecting device, a path mining device, an email evaluating device, an email outputting device, a user evaluating device and a credit updating device. The method comprises the following steps: establishing a user relationship model according to the user communication relationship in a controlled network, then mining a specific path set according to the user relationship model, and finally establishing email determination records through the historical evaluation of the user on the path set and identifying email attributes. The device has the advantages that the device has good identification ability and can well identify malicious users and resist the interferences of the malicious users, can be deployed at entrances and exits of an email server, a gateway and a backbone network and be widely applied in the email filtering technology and other application fields.

The invention discloses a bandgap reference voltage source which comprises a starting circuit, a core bandgap reference circuit and a high-order compensation circuit. The core bandgap reference circuit comprises PMOS tubes M1, M2 and M3, NPN triodes Q1 and Q2 and resistance units R1, RB1, RB2 and RA; and the high-order compensation circuit comprises PMOS tubes M4, M5, M6, M7, M8, M9, M10 and M11, NPN triodes Q3, Q4, Q5, Q6, Q7 and Q8 and resistance units R2 and R3. The bandgap reference voltage source disclosed by the invention adopts the high-order compensation circuit, thereby the temperature coefficient is reduced greatly; the circuits adopt the resistance ratio, thus the circuits can not be affected by the absolute value of the resistance, and the influence of the temperature coefficient of the resistance to the output quantity can be reduced. The bandgap reference voltage source has high power supply rejection ratio and can ensure that the circuits can resist the interference of a power supply.

The invention provides a hydrogen sulfide electrochemical transducer, which includes a working electrode, a reference electrode and a counter electrode that form ion conduction through electrolyte solution, wherein the working electrode is an Au-containing electrode; the electric potential of the working electrode relative to the reference electrode is within minus 40mV and plus 40mV; the electrolyte solution is H2SO4 solution or H3PO4 solution; and the reference electrode is an electrode that does not absorb alcohols in the system thereof. The transducer provided by the invention can be free from interferences from alcohols and carbon monoxide.

The invention provides a self-balancing two-wheel robot comprising a support body, a front wheel, a rear wheel, a steering drive element, a first advancing drive element, a gyro unit and a deflection drive element. The front wheel and the rear wheel are connected to the support body. The steering drive element is arranged on the support body and connected to the front wheel. The first advancing drive element is arranged on the support body and connected to the rear wheel for driving the rear wheel to rotate. The gyro unit comprises a fly wheel, a frame, a rotation drive element, a deflection shaft, a bearing base and an angle sensor, wherein the bearing base is arranged on the support body and the deflection shaft is connected to the bearing base. The deflection drive element is arranged on the bearing base and connected to the deflection shaft. The angle sensor is arranged on the bearing base and connected to the deflection shaft. The frame is connected to the bearing base through the deflection shaft. The fly wheel is connected to the frame. The rotation drive element is arranged on the frame and connected to the fly wheel for driving the fly wheel to rotate. The self-balancing two-wheel robot is characterized by high response speed and large corrective torque.

The invention provides a method for achieving data transmission through voice. The method comprises that a data sending end uploads data to a transit server; the transit server packs the data to generate a secret key and a dynamic coding schedule and send the secret key and the dynamic coding schedule to the data sending end; the data sending end codes a key to convert the secret key into acoustical signals and play; the dynamic coding schedule is obtained from the transit server after a data receiving end receives the acoustical signals, the acoustical signals are decoded according to the dynamic coding schedule, and the secret key is obtained; and the data receiving end uses the secret key to obtain the data uploaded by the data sending end from the transit server and download. By means of the method, the data with big information content can be transmitted between the data sending end and the data receiving end, and transmission efficiency is improved. The secret key is transcribed in a transmission process and cannot be cracked and simulated, and reliability and confidentiality of data transmission are improved.

The invention relates to a multi-element anti-interference antenna system for Beidou / GPS satellite navigation equipment. A multi-element anti-interference antenna internally comprises four independent Beidou B3 antennas which are arranged in a 2*2 matrix mode to form an antenna array, one Beidou B1 / GPSL1 antenna is put in the middle of the Beidou B3 antenna array, signals received by the Beidou B3 antennas are converted into medium frequency signals after low noise amplification and down-conversion processing, the medium frequency signals are inputted to an anti-interference digital processing unit, the space-time joint dimension reduction multi-stage nested Wiener filtering technology is employed by the anti-interference digital processing unit to carry out anti-interference processing on the signals; up-conversion processing on the signals after anti-interference processing is carried out, the signals after up-conversion processing and the Beidou B1 / GPRL1 signals after low noise amplification are combined into one path of radio frequency simulation signals which are taken as output. The system can be applied to time-change interference scenes and can prevent various types of narrow band and wide band oppressive interference in Beidou B3 frequency band. A Beidou / GPS multi-mode way is further employed, and operation reliability of the satellite navigation equipment is guaranteed.

The invention relates to a farmland pollution area following system by a wireless sensor network, comprising an intelligent sensor node which collects farmland parameter indexes, a gateway node which receives the collected farmland parameter index data and ID number of the intelligent sensor node and a remote data center which receives and processes the collected farmland parameter index data, ID number of the intelligent sensor node and IP address of the gateway node; wherein, the remote data center conducts space-time analysis on the information of the intelligent sensor node through a user interface and displays the information. The system is accurate in positioning, can realize self-adjusting positioning algorithm in the mobile network environment and can resist all kinds of disturbances of the external environment. The invention also discloses a farmland pollution area following method by the wireless sensor network.

The invention discloses an intelligent laying and recovery device for an unmanned ship. The intelligent laying and recovery device for the unmanned ship comprises a hoisting and tracing mechanism and a clamping device for a center lifting point of the unmanned ship. The hoisting and tracing device comprises four vector frequency conversion fans, a rapid ejection telescopic rod assembly, a laser indicator lamp, a camera, a laser rangefinder, a spotlight indicator lamp, and a butt-joint locking and unlocking sensing head; a lifting hook connected with a mother ship is arranged on the upper portion of the rapid ejection telescopic rod assembly, and a cross-shaped fixing frame is mounted on the lower portion of the rapid ejection telescopic rod assembly; the four vector frequency conversion fans are fixed to the cross-shaped fixing frame on the lower portion of the rapid ejection telescopic rod assembly, two vector frequency conversion fans for providing horizontal tracing power are arranged at the X-axis and the Y-axis; the laser indicator lamp, the camera, the laser rangefinder and the spotlight indicator lamp are correspondingly fixed through a mounting frame at the tail of the rapid ejection telescopic rod assembly; the camera is provided with X-axis and Y-axis scales, and the vector frequency conversion fans correspond to the directions of the X-axis and Y-axis scales in the camera separately; and the butt-joint locking and unlocking sensing head is mounted in a groove at the rear end of the rapid ejection telescopic rod assembly.

The invention discloses an improved Canny image edge detection method with noise immunity. On the basis of a Canny algorithm, the improved algorithm combines adaptive median filter to replace Gaussianfilter to denoise the image, so as to filter salt and pepper noise interference better. Then combined with the maximum inter-class variance method and the maximum entropy method, the double thresholdselection method is improved to get the high and low thresholds, so as to achieve the edge detection of the image, so that the target image retains the edge information as much as possible, while filtering out the unnecessary interference edges. The invention realizes the edge detection of an image under the condition of salt and pepper noise pollution and a double threshold selection method withstrong adaptability, and has high application reference value.

The invention provides a spread spectrum-OFDM mixed system, comprising: OFDM and spread spectrum mixed transmitter comprising spread spectrum communication channel unit and OFDM communication channel unit, processing signaling signal through the former and communication data through the latter, respectively, and sending out the processed signaling signal and communication data; OFDM and spread spectrum mixed receiver comprising spread spectrum communication channel unit and OFDM communication channel unit, obtaining the signaling signal from the received signal by processing of the former and the communication data by processing of the latter, respectively. And the invention can make signaling signal and communication data concurrently transmitted, avoiding the signaling signal singly occupying the rare wireless communication resources of the base station system.

The method includes: 1) storing the known synchronous train sequence IFFI changing result into buffer storage in advance, 2) carrying on correlation for received synchronous train sequence with synchronous time slot and train sequence in buffer storage and within search window, carrying on correlation operation to obtain a serial correlation output result, 3) derivating out energy of correlation output result, 4) utilizing a filter set to carry on filter processing for a serial obtained energy, 5) arranging filtered correlation output energy in sequence from big to small and starting cancellation sidelobe for correlation peak value from the maximum value, 6) searching out frame head position by searching forward and 7) adjusting framke boundary as per framke head position and removing cyclic prefix of OFDM data symbol to restore initial position for it.

The invention relates to a method for controlling a dynamic matrix of a non-self-balance object. A traditional matrix control algorithm cannot directly be used on the non-self-balance object. On the base of the traditional matrix control algorithm, the method combines a method for changing and transferring a matrix for the non-self-balance object and a novel error rectification method, guarantees that control is highly precise and highly stable, and at the same time guarantees simple forms, and meets demands in actual industrial process. The method is adopted to firstly establish a matrix model for the non-self-balance object based on step response data of the object and excavate out a basic object character; and then combines the novel method for transferring the matrix and the method for compensating error to calculate out a parameter of a dynamic matrix controller; and at last complements dynamic matrix control for the non-self-balance object. Means like data collection, model establishment, and mechanism forecasting are adopted in the method for controlling the dynamic matrix of the non-self-balance object, and the method is adopted to effectively improve precision and stability of the control.

A double-antenna multi-carrier wave MIMO (multi-input and multi-output) communication method based on mutual complementing codes relates to a double-antenna multi-carrier wave communication method based on mutual complementing codes and solves the problems that the existing encoded MIMO system is poor in multi-user interference resisting performance, poor in multi-path interference resisting performance, and poor in Doppler effect capacity. The system adopts the mutual complementing codes to carry out spread spectrum, and adopts a multi-carrier wave system framework in signal emitting process; and the system adopts the mutual complementing codes to carry out demodulation spread in signal receiving process. The system adopts the mutual complementing codes to be used as spread spectrum codes of system carrier waves and adopts the multi-carrier wave system framework, so that the multi-user interference resisting performance of the MIMO system is greatly improved, under an AWGN (additive white Gaussian noise) channel, the complete multi-user interference resisting performance can be realized, under time selective fading brought by Doppler frequency shift, the system can resist multi-user interference with 75 percent rate, and under frequency selective fading caused by multi-path interference, the system can resist the multi-user interference with 50 percent rate.

The invention relates to a super-resolution processing method of a face image integrating a global feature with local information, in particular to a method for processing a low-resolution face image by an image pyramid to obtain a high-resolution face image. The method comprises the following steps: (1) establishing a controllable pyramid database of high-resolution face images; (2) solving a global high-resolution image of a low-resolution face image; (3) establishing a high-resolution residual face image database; (4) calculating and inputting global high-resolution images of the low-resolution face image; (5) calculating and inputting high-resolution residual face images of the low-resolution face image; and (6) calculating and inputting the final high-resolution image of the low-resolution face image. The method has the advantages of easy realization, strong robustness, high precision, etc., and can provide real-time reliable feature information for face identification.

The invention discloses a high-precision frequency and phase discrimination signal processing method and device in laser offset frequency locking. The method comprises the steps: enabling tunable laser and a femtosecond optical frequency comb to pass through a beat frequency signal detection unit to obtain a beat frequency signal, performing analog-digital sampling on the beat frequency signal andthen enabling the signal to enter an FPGA development board for frequency and phase discrimination processing; multiplying the beat frequency signal by a reference signal and carrying out low-pass filtering; acquiring a corresponding phase through a coordinate rotation arithmetic unit; performing scaling processing on a phase after phase unwrapping, outputting an error voltage signal to an analogPID controller through a digital-to-analog converter, enabling the analog PID controller to generate a control signal to the tunable laser for closed-loop control, locking the frequency of a beat frequency signal to a reference signal, and calculating the signal-to-noise ratio, the frequency and the amplitude of the beat frequency signal. The invention solves the problems of difficulty in improving the frequency and phase discrimination precision of the beat frequency signal and small capture range in the offset frequency locking technology of locking the laser to the optical frequency comb,and can be widely applied to the field of laser precision measurement.

The invention discloses a measuring device and method for sag frequency of a dispersion optical fiber and belongs to the technical field of photoelectrons, aiming to solve the technical problem that a traditional method can not accurately measure the sag frequency in the prior art. The advantages of strong external interference resistance, high measuring accuracy, and convenience in operation are provided. The device comprises a wave-length tunable laser, a polarization controller, a photoelectric modulator, a microwave signal source, a first optical fiber connector, a to-be-detected dispersion optical fiber, a second optical fiber connector, a photoelectric detector, a microwave power-factor meter and a data acquisition and processing system.

The invention discloses a method for obtaining a dynamic shape of a foot model, which realizes to obtain the three-dimensional shape of foot models at any time during the moving and changing process of human foot, which includes the steps of: wearing socks with marking points on the foot models; using a plurality of cameras to track the positions of the marking points on the socks at any time at aplurality of visual angles in full orientation; implementing binocular camera matching on the visible two-dimensional image marking points tracked in subsequent frames based on the three-dimensionalfoot model of the first frame and then reconstructing a three-dimensional coordinate, thereby obtaining the time of each frame and the three-dimensional positions of the visible marking points; and finally, starting from the three-dimensional foot model of the first frame and obtaining the three-dimensional foot model of the latter frame by iteratively implementing deformation on the three-dimensional foot model of the front frame under the restriction of the position of the visible marking points during the period of the latter frame. The method for obtaining the dynamic shape of the foot model avoids the work of configuration and elimination of the optical marking points in the traditional three-dimensional vision method, and saves the cost caused by using the optical marking point; andmeanwhile, the method for obtaining the dynamic shape of the foot model has less interaction in the whole process, and is convenient and reliable to be used.

The invention belongs to the technical field of high voltage transmission, and particularly relates to a method and a device for automatically identifying defects of an insulator of a high voltage transmission tower, aiming at solving the problem that the prior art cannot automatically identify defects of an insulator. The invention provides a method for automatically identifying defects of an insulator of a high voltage transmission tower, comprising: based on the acquired image data of the insulator of the high voltage transmission tower, locating the region position of the insulator in theimage data by using a pre-built positioning network model; cutting the region position by the pre-built region cutting network model to obtain the optimized region position; using the pre-built depthresidual network to identify the insulators in the optimized region position, using the deep residual network again to identify the defects in the insulator, and marking the position information of the defects of the insulator. The invention is capable of automatically identifying the position of the insulator from the image, and identifying the defects of the insulator on the basis, thereby improving the precision and accuracy of the recognition.

The invention relates to a method for eliminating environment noise in voice signals, comprising: (1) setting a voice frame in voice signals; (2) detecting the upper limit frequency value F and the signal noise ratio SNR of the voice frame; (3) according to the upper limit frequency value F and the signal noise ratio SNR, determining a first adjustment parameter alpha and a second adjustment parameter beta corresponding to the voice frame; (4) using the first adjustment parameter alpha, the second adjustment parameter beta, and a preset noise strength factor M to generate a corrected noise strength factor M', wherein the noise strength M'=M x alpha x beta; (5) using frequency spectrum subtraction method, the corrected noise strength factor M' and an energy spectrum equation to process calculation, thereby eliminating environment noise from the voice signals. The invention can effectively eliminate noise interference, improve the adaptability of voice recognition system on different environment noises, improve the correctness of signal recognition, and effectively resisting the interference of background environment noise under low signal noise ratio.

The invention discloses an intelligent indication method of a pointer instrument and a device thereof. The method comprises the following steps: obtaining an image to be processed from a video streaming, carrying out image median filtering processing and image enhancement processing on the image to be processed to obtain a primary-processing image; on the basis of an Otsu threshold value segmentation method, carrying out binarization processing on the primary-processing image to obtain a binarization image, carrying out Laplace transform on the binarization image, carrying out xor processing on the binarization image and an image obtained via the Laplace transform, and carrying out the median filtering processing on the image obtained by the xor processing to obtain a secondary processing image; carrying out refining processing on the secondary processing image, carrying out linear detection processing on the image obtained by the refining processing to identify a pointer straight line of the pointer instrument; and according to the parameter information of the pointer instrument and the identified pointer straight line, calculating a scale value where the pointer of the pointer instrument points to at the moment. The pointer identification robustness of the pointer instrument can be improved.

The invention relates to a new image search method based on an important bitplane, which uses an image bit-plane theory, combines a noise attack characteristic (less effect on the bitplane), and searchs similar images by extracting content in the important bit-planes of the images. The invention mainly comprises following characteristics: at first, extracting the important bitplane from an original image; then selecting a color histogram of the important bitplane as a color characteristic, and selecting a color standard offset of the important bitplane as a space characteristic; finally, calculating similarity of contents of images by synthetically using the color and space characteristics, ordering based on the similarity, and outputting a similar image gather. The image search method of the invention not only has a simple calculation, but also has a high precision ratio and recall ratio, especially has a good robustness for noise attrack such as illumination, sharpening, fuzzy and the like.

The invention discloses a SiPM (Silicon Photomultiplier)-based nuclear medical imaging plate flat panel detector, which comprises multiple detection modules and a processing circuit module, wherein each detection module comprises a scintillation crystal array and a SiPM array coupled with the scintillation crystal array, the scintillation crystal array comprises multiple scintillation crystals for detecting gamma rays and generating optical signals, and the SiPM array comprises multiple SiPMs for converting the optical signals generated through the scintillation crystal array into electric signals; and the processing circuit module receives and processes the electric signals from the SiPMs to generate output signals as a detection result, and comprises a passive processing circuit module and an active processing circuit module arranged separately, the active processing circuit module leads out the electric signals generated by the SiPM array, and the active processing circuit module receives and processes the electric signals from the passive processing circuit module and generates the output signals. the flat panel detector of the invention has the advantages of compact structure, good performance and strong stability.

The present invention provides a monocular vision tracking method based on UUV underwater recovery. The present invention relates to a monocular vision tracking method based on UUV underwater recovery. The objective of the invention is to solve the problem that a general vision tracking method is low in tracking accuracy in the condition of UUV underwater recovery in the prior art. The method comprises the following steps: 1, collecting sequence images of a target light source system through a UUV camera; 2, building a target weight model; 3, calculating a candidate object model in the current frame; 4, obtaining a Bhattacharyya similarity coefficient; 5, calculating a weight coefficient; 6, obtaining the new position of a candidate object center according to the weight coefficient; 7, obtaining [Rho](y1); and 8, when ||y1-y0||<[Epsilon], stopping the tracking, or else, allowing y0=y1, returning back to the step 3, and if the current frame is the last one frame, finishing the tracking, or else, going on to read the next frame. The monocular vision tracking method based on UUV underwater recovery is applicable to the field of the monocular vision tracking of UUV underwater recovery.