145results about How to "Fast detection time" patented technology

The invention discloses a file data replication method for quick deduplication. The method comprises the following steps of: before a first target file in a storage medium is wholly replicated to a target file directory for the first time, performing fingerprint calculation on metadata information of the first target file to form identity (ID1) by a processor, extracting contents of a plurality of file data segments from the first target file according to an interval with preset size and performing the fingerprint calculation to form ID2, performing the fingerprint calculation on the metadata information of a second target file to form ID3, and extracting contents of a plurality of file data segments from the second target file according to an interval with preset size and performing the fingerprint calculation to form ID4; comparing the ID1 with the ID3; if the ID1 is the same as the ID3, saving replication; if the ID1 is different from the ID3 and the ID2 is the same as the ID4, updating metadata of the first target file; and if the ID2 is different from the ID4, wholly replicating the second target file.

A circuit assembly detects a touch point within a display area. A plurality of light emitters are disposed around a periphery of the display area. A plurality of detectors are disposed around the periphery, each detector being opposed to a respective light emitter. Switching circuitry for connecting the light emitters and detectors in a switching matrix has a plurality of matrix rows and matrix columns. The switching circuitry includes a plurality of row lines, each row line corresponding to a respective matrix row and a plurality of column lines, each column line corresponding to a respective matrix column. Low-side switching transistors selectably couple the light emitters and detectors to the row and column lines, respectively. A common modulated signal is coupled to the anodes of all the light emitters. A detection signal is provided by connecting the collector terminals for the detector phototransistors in common. Consequently, high-side multiplexing circuits are avoided.

The invention provides a traffic monitoring image-based automatic detection system for a safety belt non-fastening behavior of a driver. The system comprises a module for extracting a to-be-detected region of the safety belt and a module for judging whether the driver fastens the safety belt or not; the module for extracting the to-be-detected region of the safety belt comprises a license plate detection sub-module, a driver region extraction sub-module, an image enhancement sub-module, a human face detection sub-module and a safety belt detection region extraction sub-module; the module for judging whether the driver fastens the safety belt or not adopts a straight line detection-based safety belt judgment method; and the straight line detection-based safety belt judgment method is used for detecting an edge straight line section of the safety belt by using a Canny edge detection algorithm and a progressive probabilistic Hough transform straight line detection algorithm. The safety belt non-fastening behavior of the driver can be accurately and quickly detected and recorded, so that the disadvantages of high labor cost of manual identification, easy fatigue, easy negligence and the like are effectively overcome, and the safety belt non-fastening driving behavior of the driver is effectively inhibited.

An efficiency detecting system for the efficient and super-efficient air filter is disclosed. The primary filter, intermediate filter and blower are sequentially arranged in the air inlet pipeline in the blower room and connected to the blowing room containing efficient filter in it. Said blowing room is respectively connected to the first and the second upstream test channels, in which the dust tube, mixer, sealing valve, upstream sampling tube and static pressure ring, and the first and the second downstream test channels consisting of slide channel, perforated-plate flowmeter, downstream-sampling tube and air valve. Said both sampling tubes are respectively connected to upstream or downstream laser ion counter.

The invention discloses a fluorescent reagent for detecting specificity of aluminium ions based on an aggregation-induced emission principle. The fluorescent reagent is represented as sodium4-(2, 5-diphenyl-1H-pyrrole-1-yl)benzoate (TriPP-COONa). The fluorescent reagent has fluorescence enhancement specific response to the aluminium ions, has the detection limit of 1 mu M (27 mu g/ L) which is lower than the aluminium ion concentration (no higher than 200 mu g/ L) in drinking water stipulated by the World Health Organization, is free of the interference of other ions, such as K+, Mg2+, Ca2+, Ba2+, Ni2+, and has short response time. The fluorescence intensity of the fluorescent reagent has good linear relationship within the aluminium ion concentration range of 1 mu M to 11 mu M. According to the linear equation in the invention, the quantitive detection of the concentration of aluminium ions in the water sample can be realized conveniently and rapidly.

The invention discloses a network intrusion detection method on the basis of combining PCA and Bayesian. The invention is capable of realizing fast and effective detection of common and conventional types of attacks and new types of attacks, and the detection time is short and the correct rate is high. The invention firstly applies PCA to the training data set and the test data set to obtain the dimension-reduced training data and test data so as to reduce the model training time and detection time of the Bayesian classifier, and then adopts the Bayesian classifier with the fastest detection time for intrusion detection to achieve rapid detection. At the same time, the invention also improves the PCA, and improves the correct rate of detection, so that the method provided by the inventionis efficient in both detection time and detection accuracy.

The invention relates to the technical field of computer vision control, in particular to a human-computer interaction system and method of an intelligent wheelchair. In the invention, a lip window is obtained through a lip classifier, then the detected lip window is compared with a rectangular window on a fixed position to obtain the head posture, and the moving state of the intelligent wheelchair is determined through the head posture; and a Kalman filter predicts the possible appearing positions of the next lip detection window according to the specific position of the previous-frame lip window, and feeds the predicted search window as an initial search position back to the lip classifier, and carries out detection on the next frame image. According to the invention, the lip detection time is greatly shortened, the lip detection precision is improved, the problem of delay in the moving process of the intelligent wheelchair caused by excessively long lip detection time in the control process using head posture control of the intelligent wheelchair is solved, and the aim of realizing continuous movement of the intelligent wheelchair in the head posture control process is achieved.

The present invention belongs to the field of network detection, and specifically to a micro-blog online emergency detection method based on emotion analysis and tagging. The method comprises: by using an emotion classification model emotion wheel, constructing an emotion analysis model - emotion co-occurrence map; by using the emotion analysis model constructed in step (1), performing emotion classification on micro-blogs in a micro blog flow, and detecting an emergency period of the micro-blog flow by using a kleinberg algorithm; extracting micro-blog tags during the emergency period, filtering out a junk tag, and performing word segmentation on remaining tags; forming an initial keyword of an event; and by using the keyword generated in step (3), extracting a word related to the keyword in a micro-blog, to form a final description of the event. According to the method provided by the present invention, the emotion co-occurrence map based on the emotion wheel is constructed, so that the emotion classification is more detailed, emotion is easier to understand and explain, and compared with events based on emotion symbols, detection accuracy is higher.

A detection system and method for real-time online monitoring of various heavy metal ions are provided. Heavy metal ion standard liquids with different concentrations are injected into the detection system by means of mobile sampling; standard curves of the different heavy metal ions are measured through differential pulse voltammetry; an actual water sample is subjected to online real-time detection; the actual water sample and a carrier liquid are mixed, the mixture is charged into the detection system, a detection curve of the actual water sample is acquired through differential pulse voltammetry, and the detection curve of the actual sample is compared with the standard curves to measure the types and concentrations of the heavy metals in the actual water sample. The heavy metal sensor technique based on differential pulse voltammetry according to the invention allows various heavy metal ions to be detected at the same time, has high detection sensitivity and accuracy, takes several minutes for detection, and may meet the common requirements for online and quick response.

The invention discloses a chip level PCR-LVCE integrated system which comprises a chip level PCR-LVCE micro fluidic chip, a chip level PCR-LVCE detection and a control interface circuit as well as a chip level PCR-LVCE detection and control system based on an SOPC (system on programmable chip) technique; the integrated system achieves ionophortic separation and electrochemical detection of different components of to-be-measured test samples in NIOSII soft core processor control, to-be-analyzed test sample micro mixing of relevant interface circuit control, micro fluid liquid direction judgment in an LVCE chip and variation field intensity forming movements on an LVCE separation micro channel. The chip level PCR-LVCE integrated system provided by the invention has the advantages of rapidity, simplicity, convenience, high integrated degree and the like, can effectively improve the detection efficiency, are higher in expansibility, real-time property and safety compared with the prior art, and can be widely applied to the fields of biochemistry, medicine, environment, criminal investigation and the like.

The invention provides a portable real-time opto-acoustic imaging system for integrating a two-dimensional laser galvanometer and a laser diode, which is formed by a central processor, a driving circuit, a data collecting circuit, a signal amplifying circuit, a signal preprocessing circuit, an ultrasonic sensor, a circuit external port, a laser diode, a collimating lens group, an X-axis reflecting galvanometer, a Y-axis reflecting galvanometer, a focusing lens group, a protective lens, an X-axis motor, a Y-axis motor and a casing. The portable real-time opto-acoustic imaging system applies fast and efficient two-dimensional laser galvanometer scanning technology to the field of multi-dimensional opto-acoustic imaging, is integrally designed with a small-volume laser diode in portable mode, achieves large-area opto-acoustic imaging and can be widely applied to the field of detection of square, tubular or film-shaped materials with complex structures, industrial fault detection, medical imaging and the like.

A microelectromechanical gyroscope includes a drive loop having a drive element and a drive loop circuitry. The drive loop circuitry includes a clock generating circuitry for generating from the quadrature-phase detection signal a test clock signal, an angular rate phase demodulation signal and a quadrature phase demodulation signal. A sense loop includes a sense element and sense loop circuitry for detecting angular rate and producing a force-feedback signal. A test signal generator receives a quadrature-phase detection signal to be used as a quadrature-phase carrier signal and the test clock signal A summing element sums a test signal with the force-feedback signal to form a sense feedback signal. A rate phase demodulator produces a rate signal by demodulating a sense signal received from the sense loop with the angular rate phase demodulation signal, and a quadrature-phase demodulator produces a quadrature-phase output signal.

The invention discloses a video definition detection method and device, a computing device and a computer storage medium. The method is executed based on a trained feature extraction network and a trained video definition detection model, and includes: obtaining a to-be-detected video file; inputting the to-be-detected video file into the feature extraction network to obtain a preset dimensional file feature corresponding to the to-be-detected video file. The method and device greatly save time, improve the efficiency and accuracy of feature extraction, can avoid the influence of false video meta information, detect the definition by using the video definition detection model based on the preset dimensional file feature so as to obtain a definition value corresponding to the video file, achieve automatic file detection, save the required detection time, and reduce labor cost. Since the influence of false video meta information can be avoided, the accuracy of video definition detectionis improved.

The invention relates to a method for simultaneously realizing low-voltage ride through and island detection. The method comprises the following steps in order: step one, sampling a network voltage at the outlet of a generation system to acquire an instant amplitude and instant frequency information of the network voltage; step two, determining whether the generation system is in a normal state; step three, judging that the generation system is in an abnormal state in the step two, the generation system emitting a certain amount of reactive current according to the voltage drop range of the network instant voltage so as to realize the low-voltage ride through; step four, disturbing the generation system through the reactive current produced in the step three so as to further determine whether the system is in an island state, if so, halting the system; step five, repeating above steps, guaranteeing the low-voltage ride through and the island detection when the electric network is in fault. Through the adoption of the detection method provided by the invention, the low-voltage ride through and the island detection can be simultaneously finished through a simple efficiency disturbance method, the method is good in real-time, and the structure based on the method is simple to realize.

The invention relates to a polyhedral probe for in situ nondestructive testing of nucleic acid molecules in extracellular vesicles and a preparation method and application thereof. The polyhedral probe comprises a nucleic acid polyhedral skeleton and a probe structure which is used for identifying a target gene and located at a vertex angle of a polyhedron, the probe structure is modified with a quenching group, and the nucleic acid polyhedral skeleton is modified with a luminescent group. The probe can rapidly, sensitively and specifically detect a plurality of nucleic acid molecules in the extracellular vesicles, and can perform design application on the specific target nucleic acid molecules according to the clinical or research detection needs.

The embodiments of the invention disclose a display brightness uniformity detection method and a display brightness uniformity detection device. The method comprises the following steps: displaying at least two frames of test pictures corresponding to at least two target test points in a display under test; acquiring the brightness value corresponding to the target test point contained in each frame of test picture; and calculating the brightness uniformity of the display under test according to the brightness values corresponding to the target test points. Through the technical scheme of the invention, the accuracy of the detection result is improved, the detection time is shortened, and the productivity is increased.

The invention provides an optical cable fiber series connection detection device and method. One end of a fiber to be tested, a jump fiber and other fibers to be tested are connected in a head-to-tail way via a fiber connector. One end of the optical cable fiber is tested by utilizing an optical time domain reflectometer so that an optical path test curve is acquired. Data parameters of the optical cable fiber are acquired according to the optical path test curve so that multiple fibers can be detected simultaneously, a problematic fiber can be rapidly positioned, and thus time consumption is low and efficiency is high. Besides, a tail fiber does not need to be externally connected in detection of each fiber for elimination of influence of a blind area so that detection time is further increased, detection efficiency is enhanced, and thus performance of a bidirectional test on middle connecting points and joints of the two ends of the optical cable fiber is facilitated.

The invention discloses an SQL injection attack detection method based on a dynamic clonal selection algorithm. The method comprises the steps of extracting SQL statements submitted by a client browser and submitting the SQL statements to a rule base detection module for SQLIAs (SQL Injection Attacks) rapid mode matching; submitting the statements with unsuccessful mode matching to a dynamic detection module for deeper detection, introducing a local outlier factor as a fitness function for optimization of the distance between detectors before the dynamic detection module is operated, and constructing efficient detectors to identify normal data and abnormal data; operating the dynamic detection module to carry out detection; calling a clonal selection algorithm to carry out learning and identification; and updating system modules according to a detection result. The problem that the detection performance of an existing WAF (Web Application Firewall) is reduced and unknown features and various deformation attacks cannot be identified is solved.

The invention provides a small integrated two-dimensional opto-acoustic galvanometer excitation source, which is formed by a laser diode, a collimating lens group, an X-axis reflecting galvanometer, a Y-axis reflecting galvanometer, a focusing lens group, a protective lens, an X-axis motor, a Y-axis motor and a casing and can achieve large-area, high-speed and high-stability small opto-acoustic excitation scanning. The small integrated two-dimensional opto-acoustic galvanometer excitation source applies fast and efficient two-dimensional laser galvanometer scanning technology to the field of opto-acoustic excitation, is integrally designed with the small-volume laser diode, and achieves small excitation of large-area opto-acoustic imaging.

The invention provides a PM2.5 concentration detection method and detection device, and belongs to the field of measurement tests. The PM2.5 concentration detection device comprises an upper shell, alower shell, a PCBA board fixed in the lower shell and a data processing module capable of integrating dust data; the device is characterized in that an air flue module capable of sucking dust, a signal conversion module capable of converting the number of dust particles into digital signals, and a micro-processing system module capable of collecting data are arranged on the PCBA board; and the micro-processing system module can transmit the collected data to the data processing module for processing. The device has the advantages that the concentration of PM2.5 in air can be accurately and rapidly detected.

Disclosed is a processing device (102) and method (200) for faster face detection. a method (200) for detecting a presence of at least one face in at least one image is disclosed. The method (200) comprises of creating (202) an image patch map based on a plurality of face patches identified for at least one window in said in at least one image; estimating (204) a bounding box; and searching (206) within said bounding box to detect presence of said at least one face in said at least one image. The present invention discloses use of any classifier which works on top of any feature representation to identify face patches and then using a masking system to identify bounding boxes. The present invention is applicable in the area of but not limited to handheld terminals/devices, HD video Surveillance, and camera auto-focus based on face detection.

The invention relates to the technical field of teaching video image processing and provides a behavior detection method and a behavior detection device based on a teaching video. The method comprises the steps of obtaining the teaching video, preprocessing the obtained teaching video to obtain a moving object image, namely an image comprising a moving object, in the teaching video, and generating the result of detection on an abnormal behavior of the moving object according to a pre-established abnormal behavior detection model and the moving object image, wherein the result of detection on the abnormal behavior comprises the type of the abnormal behavior, and the starting time and ending time of the abnormal behavior. According to the behavior detection method and the behavior detection device based on the teaching video, as the result of detection on the abnormal behavior of the moving object is generated according to the pre-established abnormal behavior detection model and the moving object image, the abnormal behavior of a teacher can be detected quickly, and the starting time of the abnormal behavior and the ending time of the abnormal behavior also can be detected.

The invention relates to a casting defect ray detection system which comprises a PLC, a casting transport vehicle, a detection chamber, an X-ray generator and a detection device, wherein the casting transport vehicle is used for transporting a casting into the detection chamber, the X-ray generator and the detection device are arranged in the detection chamber, the detection device comprises a detection platform body, a detection guide rail, a detection platform, a casting clamp and a casting drive structure, the casting transported by the casting transport vehicle is mounted on the detection platform by virtue of a casting clamp, the casting drive structure is used for driving the casting to transversely move and rotate, the X-ray generator generates X rays to realize detection of the casting, and the PLC is used for controlling the casting transport vehicle, the detection chamber, the X-ray generator and the detection device. According to the casting defect ray detection system, transportation, transmission and rotation of the casting are all controlled by adopting the PLC with PLC bus control as a center, and axial and radial detection of the casting is realized by virtue of the casting drive structure, so that the manual regulation time is saved, and the integral detection time of the casting is greatly increased.

The invention discloses an APP, M.hyo, PCV-2 and PRRSV multiplex PCR detection primer, a kit and a detection method. In the method, 4 pairs of specific PCR primers are designed according to the gene conservative sequences of 4 pathogens in GenBank, an optimized multiplex PCR system is used for simultaneously detecting one or multiple of APP, M.hyo, PCV-2 and PRRSV swine pathogens, performs non-specific amplification on the genomes of other common pathogens, and the lowest concentration of detected pathogen genomes reaches pg grade. The kit comprises an amplification reaction liquid tube, a positive control tube, a negative control tube and sterilized deionized water. By adopting the invention, single or mixed infection of the APP, M.hyo, PCV-2 and PRRSV pathogens in a sample to be detected within 3 hours, the operation is simple, convenient and quick, the result is accurate and the sensitivity is high.