186results about How to "Effective detection" patented technology

The invention relates to an automatic sound feedback detection and elimination method of a real-time communication system. The method is characterized by comprising steps that the audio data is acquired, and the historical squeaking estimation information is initiated; overlapping, windowing and FFT transformation of each frame of audio data are carried out to acquire the transformation data from a time domain to a frequency domain; a peak value power of the frequency domain data and a peak value interval are calculated; traversal of all the peak value information is carried out to acquire the present frame suspected squeaking frequency point information; the historical squeaking estimation information is updated through utilizing the peak value information and the present frame suspected squeaking frequency point information; the updated historical squeaking estimation information is analyzed, and present frame squeaking point determination is accomplished; a corresponding trap filter is generated according to a present frame squeaking point determination result. Through the method, sound feedback can be rapidly, accurately and effectively detected and eliminated, conversation quality is obviously improved, and the method has quite important application values in voice conferences and loudspeaker voice communication.

The invention discloses an industrial control abnormal behavior detection method based on multiple machine learning algorithms. The method comprises the following steps of firstly, collecting and establishing flow data of a power generation distributed control system; respectively constructing a training sample set and a test sample set by adopting the calibrated flow data; carrying out multi-dimensional feature extraction and vectorization processing on the sample; then establishing a classification model based on multiple machine classification learning methods, finally collecting real-timeflow data of the power generation distributed control system and inputting the real-time flow data into the classification model, if an output classification result is malicious flow, judging that anindustrial control abnormal behavior occurs, and otherwise, judging that the industrial control abnormal behavior does not occur. According to the method, samples can be effectively classified and detected, the abnormal behavior problem existing in the industrial control system can be rapidly detected, and potential malicious and abnormal behaviors can be accurately identified.

The embodiment of the invention provides a distributed data transmission method and system based on load balancing. The method mainly comprises the steps that: transmission nodes in the distributed data transmission system are divided into a plurality of levels, each level comprises a plurality of transmission modes, a load balancing management node is set in the distributed data transmission system, and the load balancing management node controls data transmission flow among all the transmission nodes according to received node state information of each transmission node and a set load balancing strategy. According to the invention, effective detection and management over the whole data transmission process are realized, the data transmission flow among all the transmission nodes can be controlled according to the received node state information of each transmission node and the set load balancing strategy, and the network architecture of the distributed data transmission system is adjusted in real time, so that the data transmission efficiency of the distributed data transmission system is improved.

The invention provides a video steganalysis method based on partial cost non-optimal statistics. A fundamental principle of producing a motion vector is deeply excavated in the steganalysis method. The video steganalysis method based on the partial cost non-optimal statistics starts from the local optimum characteristics which should be kept and produced by the motion vector, and thereby the steganalysis method is enabled not to be limited to a particular video coding standard and a coding tool, is applicable to video encoding formats adopting interframe prediction technology such as moving picture expert group (MPEG)-2, MPEG-4 and H.264 and has good and wide generality and a high detection accurate rate. The video steganalysis method based on the partial cost non-optimal statistics can be applied to national security, army, government and enterprise sectors, achieves effective detection and monitoring of video content security, prevents illegal personnel from transferring intelligence information with a large data amount through video data and has important research significance and application values for ensuring the national intelligence safety, preventing enterprise confidential information from being revealed and the like.

The invention discloses a method for dynamically compensating a blind pixel. The method comprises the following steps of: arranging pixel gray values of a 3*3 window matrix dot picture element from small to large according to the remarkable abnormity of the blind pixel in a local window; if the absolute value of the difference value between a medium value and other picture element gray value is greater than a preset threshold value, determining the picture element as the blind pixel; detecting all picture elements of an M*N array by using a medium gray value instead of a blind pixel gray value; and compensating all blind pixels. Therefore, a high-quality image is obtained in a display device.

The invention discloses a radio frequency channel parallel detecting device and method for an unmanned aerial vehicle. The device comprises a number of radio frequency modules, a number of radio frequency microcomputer modules, a general control microcomputer module and a real time clock module. The device divides the common 2.4GHz communication band of the unmanned aerial vehicle into 42 channels, and then measures the RSSI and time of each channel in parallel. According to the measurement result, the difference between an unmanned aerial vehicle signal and the RSSI of the background noise and the bandwidth characteristic of the unmanned aerial vehicle signal are used to detect the unmanned aerial vehicle, wherein the unmanned aerial vehicle signal mainly comprises an image transmission signal and a remote control signal. In addition, the device can detect the frequency hopping sequence of the remote control signal of the unmanned aerial vehicle, and further identifies the unmanned aerial vehicle model according to the frequency hopping sequence. The radio frequency channel parallel detecting device and method for the unmanned aerial vehicle have the advantages of low cost, high detection precision, simple and convenient deployment of the device structure and the like, can effectively detect and identify the unmanned aerial vehicle, and can be widely used and deployed in various areas where unmanned aerial vehicle detection is needed.

The present invention relates to a double ring detecting mechanism for robot joint speed reducer flexibility comprising angle detecting system, signal processing system and mechanism structure. Rotation angle detecting sensors are installed separately to the output end of the motor shaft and the output end of the reducer to measure the rotation angle of the motor shaft and the rotation angle of the joint; and the measured information is fed to the signal processing system to constitute the double ring detecting system capable of detecting the flexible rotation error of the joint reducer effectively and accurately.

The invention provides an efficient mimicry defense system and method, and the system comprises an input agent, a heterogeneous execution body pool, a decision device, a fault detector, a fault collector, and a fault recovery module. The method comprises the following steps that 1, a fault detector detects the software and hardware running state of a heterogeneous execution body in real time and sends detected fault information to a fault collector, and then the fault collector transmits the fault information to a judgment device, an input agent device and a fault recovery module; step 2, theadjustor removes adjustments to the fault heterogeneous executor message; 3, the input agent removes the distribution of the input messages of the fault heterogeneous executor; and 4, the fault recovery module sends a setting command to the faulted heterogeneous execution body or resets the heterogeneous execution body in a hardware mode.

The invention relates to a battery power supply device, which comprises a left shell and a right shell. At least one battery pack is arranged on the internal side of the left shell. The battery pack consists of at least two monomer batteries which are serially connected. At least one battery pack is also correspondingly arranged on the internal side of the right shell. An air guide pipe is arranged on one side of the battery pack. A front finished circuit board and a rear finished circuit board are respectively arranged at the two ends of the battery pack. A front baffle is arranged on the external side of the front finished circuit board. A rear baffle is arranged on the external side of the rear finished circuit board. A negative terminal and a positive terminal penetrate through the front baffle or the rear baffle and then stretch out of the baffles. The battery power supply device has the advantages of compact structure, convenience in maintenance, good ventilation and heat dissipation performance and wide application scope.

The invention relates to the technical field of an elevator and discloses a detection and alarming device of abnormal opening of a hoistway door, comprising a power supply, a control unit, first switches, second switches, and alarms, wherein the first switches and the second switches are arranged on all floors and the alarms are arranged on all the floors; after the first switches and the second switches of all the floors are connected in parallel, n parallel circuits are formed; a serial circuit is formed by the n parallel circuits; the control unit comprises a potential detection circuit and a high potential output circuit; and when the potential detection circuit detects that when an nth input end is a low potential, a high-potential output circuit inputs a high potential to an nth parallel circuit and supplies power to the alarm of the nth floor to enable the alarm to give an alarm. The invention further discloses a realization method of the detection and alarming device, which can effectively detect all the abnormally-opened hoistway doors and sends out an effective alarming measure, so as to effectively detect and alarm the abnormal movement hoistway door when an elevator main control board has a floor identification error.

The invention discloses a water supply and drainage pipe leakage detecting system and method. The detecting system comprises a composite pipe and a leakage detecting device. The leakage detecting device is provided with a detecting circuit. The composite pipe comprises an inner insulation layer, an outer insulation layer and a conductive layer arranged between the inner insulation layer and the outer insulation layer. Two poles of the leakage detection device are connected with the conductive layer, the leakage detection device is further provided with a grounded pole, and the grounded pole is arranged in a medium outside the composite pipe. When the whole pipe wall of the composite pipe or the outer insulation layer is broken, the ground insulation resistance of the leakage detection device changes. According to the water supply and drainage pipe leakage detecting system and method, the effects of carrying out earlier prediction and precisely locating the broken position when a water supply and drainage pipeline is broken are achieved, and the prevention capacity and first-aid repairing efficiency are greatly improved.

The invention relates to an unmanned ship obstacle avoiding device and method based on image vision. When an unmanned ship autonomously sails towards a target point, a camera will acquires image dataof a river face in real time. An image processor not only carries out real-time processing on the acquired image data and stores the shot image into a memory card. After the processor determines the position of an obstacle, the processor will carries out calculation of an obstacle avoiding algorithm. The calculation result is an angle for which the rudder of the unmanned ship should rotates. The processor will send the information to a ship body controller. After the controller receives the information, the rudder will timely rotate to avoid the obstacle. According to the invention, obstacleson a target water surface can be effectively and rapidly detected; the rudder of the unmanned ship is informed to steer or rotates for a certain angle; and the unmanned ship is effectively avoided from colliding the obstacles in the navigation process.

The invention applies a vacuum ultraviolet ionized gasoloid mass spectrograph which can analyze and detect the organic gasoloid in atmosphere continuously. The spectrograph can sample the gasoloid in natural environment by using the microhole directly; the gasoloid particle is focused to the particle beam by the air-actuated focusing lens group; the particle size can be measured by the rotating particle size measurer in measuring room; the organic gasoloid is gasified by the temperature control gasifier; the gasifying gas is ionized by the vacuum ultraviolet light and the ion is detected by the reflected spectrograph device to get the gasoloid spectrograph. So it can get the concentration, particle distribution and chemical component information of the gasoloid.

The invention provides a cognition radar waveform design method for resisting instantaneous transmitting slice reconstruction interference. The cognition radar waveform design method for resisting instantaneous transmitting slice reconstruction interference is characterized by utilizing the prior information obtained by a cognition radar to extract the parameters related with slice reconstruction interference among from the prior information; and according to the minimum cross correlation integral sidelobe level criterion between the weighted waveform autocorrelation integral sidelobe level and the weighted waveform and slice reconstruction interference, designing a phase coding transmitted waveform which can satisfy the anti-interference performance index. In the instantaneous transmitting slice reconstruction interference scene, the cognition radar waveform design method can improve the signal to interference ration nearby the real target to achieve the aim of correctly detecting the real target, has the advantages of being high in the real-time property and extensive in applicability, and can be applied to a radar electronic countermeasure system to significantly improve the operational capability of the radar in a new interference environment.

The invention provides a method for detecting related substances of ibuprofen or its sodium salt and preparation. The related substances comprise impurities A, B, C, D, E and F. The method comprises (1) preparation of a test sample solution: taking an appropriate amount of ibuprofen or ibuprofen sodium raw materials, putting the materials into a certain volume of a container, dissolving the materials, diluting the solution until a desired volume marked by a scale, shaking the solution, and filtering the solution to obtain a certain concentration of the test sample solution, and (2) sample detection: pouring the test sample solution into a chromatographic instrument, and acquiring a chromatogram map of the related substances separated effectively under chromatographic conditions of use of a chromatographic column containing octadecyl silane chemically bonded silica as a filler having size of 250*4.6mm and pore sizes of 5 micrometers and having a column temperature of 20 to 40 DEG C, use of a mobile phase having a volume ratio of organic phase acetonitrile to a water phase phosphoric acid aqueous solution of 32% to 48% and phosphoric acid content of 0.01 to 0.1% in the phosphoric acid aqueous solution, a flowing rate of 1.0 to 2.3 ml / min, and a detection wavelength of 205 to 225nm. The method can realize effective separation of a variety of impurities.

The invention discloses a method for detecting abnormality of a high-speed incremental aircraft engine. The method comprises the following steps: selecting parameters of original data; smoothly treating the parameter data; representing data properties in a self-adapting fragmenting manner on basis of variance; performing similarity measurement on the data on the basis of dynamic time warping algoirhtm of the self-adapating line framgnets; building a mode excavation model to form a performance parameter mode library; then matching incremental data with each mode in the mode library to obtain the abnormality detection result. The method has the advantage of being fast to detect abnormality of incremental data on the basis of the properties of large performance parameter data quantity, high dimension, different data length and extremely few abnormality data of the aircraft engine.

The embodiment of the invention discloses a pirate application detection method, device and system. The method comprises the following steps: inquiring a relevant application of a current application from a white list database, wherein the relevant application comprises any one same or similar application and an application which is the same with a developer in application characteristic information, and the application characteristic information comprises the name, the package name and the function of the application; storing more than one piece of legal copy application information in the white list database, wherein each piece of legal copy application information comprises the name, the package name, the signature, the version number and the developer information of at least one legal copy application; independently comparing the current application with each relevant application to obtain a similarity between the current application and each relevant application to obtain more than one similarity value; comparing whether a maximum similarity value in the more than one similarity value is greater than a preset minimum similarity threshold value or not; and if the maximum similarity value is greater than the preset minimum similarity threshold value, judging the current application is the legal copy application. The embodiment of the invention can detect the private application.

The invention discloses a fish meal freshness degree detection device based on an electronic tongue, and aims at solving the problems that procedures of sample detection reagent preparation, sample treatment and the like are complex, the detection time is long, a reagent is not easy to preserve, the judgment on titration end points is easy to affect by subjective factors of operators, and the like in the conventional method. The detection device comprises an electronic tongue motivation acquisition module, an electronic tongue analysis and recognition module and a display module, wherein the electronic tongue motivation acquisition module is used for acquiring a fish meal solution current response signal; the electronic tongue analysis and recognition module is used for recognizing fish meal with different freshness degrees and used for detecting the fish meal freshness degree evaluation index contents; the display module is used for displaying the analysis result. The fish meal freshness degree detection device is capable of effectively carrying out the freshness degree identification and quantitative detection on the fish meal, and has the characteristics that a sensor array is flexibly selected, motivation signals are intelligently adjusted, the detection is convenient and rapid, and the like.

The invention discloses a method for monitoring the integrity of a navigation system based on a distributed sensor network and belongs to the technical field of navigation positioning. According to the method disclosed by the invention, the integrity of the navigation system based on the distributed sensor network is monitored by utilizing a staged treatment mode of sensor-stage integrity monitoring treatment and system-stage integrity monitoring treatment. During the sensor-stage integrity monitoring stage, the integrity of a GNSS (Global Navigation Satellite System) receiver is monitored by utilizing an RAIM (Receiver Automatic Integrity Monitoring) method, the integrity of k SRIMU network nodes is monitored by utilizing a comprehensive method based on a moving window-parity vector method and a discrete wavelet transform method; and during the system-stage integrity monitoring stage, the integrity is monitored by adopting an innovation-based processing method and a moving window information processing method. According to the method disclosed by the invention, in terms of a distributed sensor network node to a whole distributed navigation system, both phase step fault and slope fault can be effectively monitored, and the integrity performance of the navigation system based on the distributed sensor network can be comprehensively enhanced.

The present invention discloses a regular matching-based network attack detection method and apparatus, relating to the technical field of network security, and solving the problem that Web attack data cannot be effectively detected and blocked. The main technical solution of the present invention includes steps of receiving a network access request sent by a user; determining whether the network access request includes attack data according to a regular expression in a preset rule repository, wherein the regular expression includes a preset attack character string; and if the network access request includes the attack data, determining that the network access request sent by the user is a network attack behavior. The method is mainly applied to detecting the network attack behavior.

The invention discloses a six-axis industrial robot fault diagnosis method and a system based on an AR model. A vibration acceleration sensor is arranged at a specific position on a moving part of each axis, the acquired vibration acceleration signals are used for building an autoregressive model AR, the autoregressive model AR is used for acquiring the fault feature vector of the industrial robot, the fault feature vector is imported to an expert system for fault diagnosis. The sensitivity of autoregressive parameters of the autoregressive model AR towards the state change law and the high resolution of the AR power spectrum are used for fault feature extraction, and sensitive and effective fault diagnosis and detection on the industrial robot are carried out; the problems that the six-axis industrial robot is difficult in fault diagnosis, long in diagnosis period and inaccurate in diagnosis can be effectively solved; and the fault judgment range is greatly reduced, and the fault diagnosis time is saved.

The embodiment of the invention provides a target detection method based on improved Radon transformation and multi-frame jointed processing to suppress clutters and eliminate false tracks so as to further realize effective detection of low speed weak targets. The method comprises the following steps: clutter suppression is carried out on radar echoes through a filter to form data corresponding to a first time-distance image; the data corresponding to the first time-distance image is combined to form data corresponding to a second time-distance image; the data corresponding to the second time-distance image is processed to obtain data corresponding to a joint time-distance image; N times of double sampling is carried out on the obtained joint time-distance image; smooth processing is carried out on the data corresponding to N sub-images to obtain S <->; the S <-> is subjected to Randon transformation; an amplitude threshold is set; an angle offset amount threshold is set; a peak point corresponding to a target movement track is detected in a transformation domain matrix; and then a movement track is determined according a theta coordinate corresponding to the peak point of the target movement track.

The invention discloses a new method for onsite rapid, sensitive and accurate detection of a trace quantity of explosive peroxide. The analysis method for ion mobility spectrometry analysis of a trace quantity of a novel explosive peroxide TATP is established in a thermal desorption sample introduction mode by adopting a positive ion manner with ion mobility spectrometry as a basic detection technology. The method improves the detection resolution and sensitivity by adjusting the temperature of a mobility tube and the temperature of a sample introduction port, realizes high sensitivity detection of the explosive TATP, and allows the detection limit to reach ng magnitude.

The present invention discloses a method for processing abnormity about access of a mobile phone to a network, comprising the following steps: (1) reconnecting the mobile phone to the network when network abnormity is detected; (2) after automatic reconnection fails for many times, disconnecting the mobile phone from the network, and rebooting, by a network processor, the network; (3) reconnecting the mobile phone to the network after rebooting, if the network is normal, ending processing, and if the network is still abnormal, executing the step (4); (4) closing, by the network processor, a network protocol currently used by a modem, and selecting another network protocol from a plurality of protocols supported by the modem; and (5) executing a networking operation on the mobile phone after automatically switching to a new network protocol, if the network is normal, ending processing, and if the network is still abnormal, returning to re-execute the step (1). Automatic attempt recovery is performed in a network protocol switching mode, so the present invention can avoid the problem of excessive time consumption caused by forced manual reboot of the mobile phone or positional update, thereby shortening the time of network failure recovery, and improving the network experience and the satisfaction of a mobile phone user.

The invention provides an automatic detecting and recognizing method of scroll captions in videos and belongs to the field of video retrieval. The automatic detecting and recognizing method includes steps of (1) detecting a scroll caption area; (2) filtering the detected vertical scroll caption area by a self-adaption detecting window so as to reduce repetition rate of caption recognition; (3) stitching multiframe images comprising horizontal captions into a frame of images comprising a complete scroll caption, inputting the frame of images as OCR (optical character recognition) software after binaryzation and recognizing the captions. Kinetic characteristics of the scroll captions in videos are sufficiently taken into consideration, fixed captions and scroll captions in the videos can be differentiated, the horizontal scroll captions are stitched, and the vertical scroll captions are filtered by the caption selection area algorithm. Accordingly, better recognition performances including higher recall ratio, precision ratio and lower repetition rate are obtained, and action of the scroll caption information of the videos in video retrieval is sufficiently given into play.

A Fusarium graminearum beta 2-microtubulin gene for detecting the resistance of Fusarium graminearum to carbendazim and its ASo-RCR detection method are disclosed. The whole length of said gene contains 997 nucleotides, one intron and the drug-resistant mutation site. It has high detecting speed (4 hr) and correctness (99%).

The invention belongs to the technical field of gas or volatile sample separation and analysis and particularly provides a portable gas chromatography-mass spectrometry linkage device. The device is divided into a gas chromatography module, an ionization source module and a mass spectrometry detector module; the gas chromatography module comprises a gasification chamber, a column oven and a gas chromatographic column; the ionization source module comprises an ion source and an ion lens; the detector module comprises an ion transmission device and a mass analyzer. The centers of the three modules are located on the same axis, the gas chromatography module is connected with the ion source, and the ionization source module is connected with the ion transmission device of the mass spectrometry detector module through the ion lens. According to the portable gas chromatography-mass spectrometry linkage device, mass spectrometry negative pressure is utilized, air serves as carrier gas, the device is simplified, the weight is reduced, and it is more convenient to achieve vehicle mounting or miniaturization for site survey; sample feeding and carrier gas switching processes are achieved through a three-way valve, the structure is simple, and it is convenient to feed samples quantitatively; the device can be effectively used for real-time detection and analysis of gas samples or volatile samples, and industrial utilization value is achieved.

The invention discloses a vehicle violation line pressing detection method based on computer vision, and the method comprises the steps: 1, obtaining an image, carrying out the filtering and equalization processing, weakening the noise influence, and enabling the gray level distribution of the image to be uniform; 2, carrying out edge detection on the image processed in the step 1 by adopting a Canny edge detection algorithm, and carrying out image segmentation by adopting a threshold value; 3, using the Gaussian mixture background model to perform background modeling including background learning, background pixel matching, discontinuous contour processing and foreground cavity filling; 4, using Hough transformation to obtain linear information in the model obtained in the step 3, and performing AND operation on the linear image and a contour image detected by an original image Canny operator; 5, extracting features by using the moments of the image, and screening out a target straight line according to the length and angle of a straight line to be obtained during lane line detection by using the moment characteristics; and 6, judging whether line pressing violates rules or not according to the shielding condition of the lane solid line and the contour characteristics of the line pressing object.

A vehicle instrument board body combination detecting tool comprises a locating face embedding block (1), a locking thread pin (2), a locating column (3), a profile detecting block turning device (4), a base (5), a profile gap go-no go fixed gage (6) and a square support (7). The detecting tool is characterized in that an inner side locating face of the profile detecting block turning device (4) is attached with a workpiece, the locking thread pin (2) is inserted into a thread hole in the locating face embedding block (1) and a thread hole in the locating column (3) and carries out locking, and the face contour tolerance of the workpiece is detected through the profile gap go-no go fixed gage (6). The vehicle instrument board body combination tolerance value of 0 mm-3 mm can be detected accurately, the structure is simple, using is convenient, quick detecting can be carried out a vehicle instrument board body combination mounting hole, meanwhile, effective control and detecting can be carried out on a part detecting face, product quality is guaranteed, and product assembling efficiency is improved.

The invention relates to an optical detection method and a device thereof which are used for detecting the defects of a substrate. The optical detection device comprises an optical unit used for generating a light source to radiate the substrate and a plurality of groups of receiving inductor units of more than one dimension used for receiving an image generated by the radiated substrate, wherein, the light wave of the image contains a specific wavelength section as well as an image capture processing unit for capturing the image.