60 results about "Time discrimination" patented technology

A method and apparatus for enhancing the optical detection of target portions of an object particularly useful in the optical examination of biological tissue to distinguish cancerous tissue from non-cancerous tissue. This is accomplished by exposing the object, e.g., biological tissue, to first and second light sources of different spectral contents for short, alternating, first and second time periods; detecting the light received from the object during each of the first and second time periods; and utilizing the light detected in the first and second time periods for producing and displaying a composite image including the image of the object and an enhanced image of the target portions, e.g., the cancerous tissue, overlayed on the image of the object.

The invention relates to a method and a device, which conducts super-fast time identification and measurement to seed optical signal. The method essentially includes the following steps: (1) super short laser pulse produced by a laser pulse light source is split into two paths by an optical beam splitting system after energy regulation, collimated beam narrowing and spatial filtering system optimization and selection, among which one path passes a time delay control system and a parameter pump pulse optical path, and the other path passes a seed exciting pulse optical path; (2) the collected seed optical signal and the pump pulse incident into a parameter amplifying system, so that the parameter amplifying system conducts ultra fast amplification to the sample seed optical signal under a linear amplifying state; (3) a parameter amplifying signal detecting system is used to detect, record, refer to and revise the signal, and give corresponding detecting result to ultra fast spectra analysis and time identification and measurement of amplifying the seed optical signal. The invention can amplify the weak seed optical signal and realize detection of ultra fast time identification, and is a novel detecting method in the field of ultra fast spectroscopy.

The invention relates to a novel measurement method and the device thereof, which combines the time-resolved self-fluorescence lifetime imaging technology and a laser scanning confocal ophthalmoscopeand realizes the early diagnosis of the ocular fundus diseases by obtaining and analyzing the self-fluorescence intensity and the service life information of the ocular fundus. The light which is emitted by a pulse laser is sent to the scanning head of the laser scanning confocal ophthalmoscope to excite the ocular fundus inner-source flgorgen, and the fluorescence which is emitted from the ocularfundus is collected by a time-correlated single photon counter or a high-repetition-rate synchronous scanning camera, so as to realize the service life measurement and the imaging of the self-fluorescence. As the service life of the self-fluorescence of the ocular fundus is very sensitive to the micro-environment and the cell metabolism state of flgorgen molecule and is not affected by the difference of the intensity of the flgorgen of the ocular fundus, the measurement of the fluorescence service life provides a brand new route for the detection of ocular fundus diseases and the obtainment of the function information of ocular fundus. The invention can become the solution and the basis of the early diagnosis of various ocular fundus diseases, which plays an important role in pathogeny research, clinical diagnosis, staging and typing, prognosis judgement, real-time observation and the analysis of the development of ocular fundus diseases, therefore the invention can be widely appliedin the field of medical research and clinical medical diagnosis.

The invention provides a triggering vibration real-time correction circuit and method in a random sampling process. A triggering signal and sampling clocks are set to be connected with a triggering control unit in a programmable logic unit, and then set to be connected with a precise inserted-in unit in the programmable logic unit after four ways of sequence signals are generated, the time interval t1 between the rising edge of the triggering signal and the rising edge of the next first sampling clock or the time interval t2 of one sampling clock or the time interval t3 between two sampling cycles is set to a widening circuit or a comparator, and then set to be connected with a precise inserted-in counter in the programmable logic unit, and generated counting values are input to a digital signal processor, the t1 is a precise inserted-in time interval needing to be measured, and the t2 and the t3 are used for correcting the inserted-in time. Through the technical scheme, a digital precise inserted-in time discrimination circuit is achieved inside an FPGA, and triggering vibration is eliminated through the optimization design of a double-slope expander circuit and the correction technology of the inserted-in time.

The invention discloses a high-resolution X-ray energy spectrometer based on an Si-PIN detector array. Detectors of the energy spectrometer employ an m row*n column Si-PIN detector array, each row of the detectors share one charge sensitive amplifier, there are n columns all together, X rays detected by the detectors are respectively sent to a time discrimination unit and a signal filtering weighting unit through amplification of the amplifiers, and n time signals and single-path energy signals are formed. Inside a digital multichannel pulse-amplitude analyzer, accurate pulse amplitude is extracted after the time signals and the energy signals are processed by an offline correction module and a trapezoid shaping module, and an energy spectrum of the X rays is finally output. The high-resolution X-ray energy spectrometer has the following advantages: the detection efficiency of the detectors in detecting the X rays especially high-energy X rays is improved, the problem of introduction of quite large noise during application of the detector array under common conditions is solved, the signal-to-noise ratio is improved, and the energy resolution of the X-ray energy spectrometer is effectively improved.

There is provided a method and system for collecting optical data for use in time resolved optical imaging wherein pulsed light is directionally propagated through free-space optics (24, 26, 28, 29) to impinge on a plurality of illumination at the surface of a biological tissue (14) such as that comprised in small animals. Light re-emitted from the tissue is collected and directionally propagated through free space optics (34, 36, 38) towards a detector (18) to produce time resolved optical signals useful for optical image reconstructions.

The invention discloses an identification method based on a queuing detector information bottleneck state. The identification method provided by the invention comprises the following steps of: adopting the detection information of a queuing detector as a foundation; and carrying out real-time discrimination on a road section transportation state by taking the continuously occurring number of occupancies of rolling time exceeding a threshold as a discrimination index, and distinguishing the position of a detector as a bottleneck state when a queue length is greater than or equal to the distance of the queuing detector and the stop line. The identification method provided by the invention adopts the rolling time occupancy as the discrimination index of the bottleneck state, and improves the discrimination real-time property of the bottleneck state.

The invention discloses a visible and near infrared spectrum bee pollen variety discriminating method. The method comprises the following steps of: by arranging a bee pollen variety discriminating device, using a visible and near infrared spectrometer to acquire spectrum information of bee pollen samples, applying a spectrum-correcting model of bee pollen variety, completing spectrum analysis by spectrum analysis processing software and carrying out variety discrimination. The bee pollen variety discriminating method applies a chemometric method to establish a bee pollen variety spectrum model and completes real-time discrimination to the variety of bee pollen. The method can realize fast, stable and real-time discrimination of various bee pollens, do not use a chemical agent, reduce detection cost, reduce labor intensity, can be applied to online production detection well, can carry out non-destructive discrimination to the variety of bee pollen, do not have influence to physical and chemical properties of the bee pollens, carry out classification to bee pollens with discriminated varieties, improve the purity of bee pollen product and guarantee the benefits of consumers.

The invention provides a frequency diversity array radar-communication integration method. Digital baseband signals are combined with frequency diversity Chirps array signals to act as an integrated transmitting signal through a binary phase shift keying modulation mode by using the radar pulse transmitting mode. A radar-communication integration application scene judgment model is established, the target existence situation is judged through the correlation of the transmitting signal and the received echo signal, and then whether target positioning processing or communication processing is performed is determined. The radar-communication integration application scene judgment model and a radar function and communication function application time discrimination mechanism are established. The integrated transmitting signal forms beams, the distance dependence can suppress clutter interference, and the azimuth dependence enables the beams to perform automatic scanning in the space. Baseband beam formation is performed on each path of baseband signal in communication signal receiving processing to enhance the space gain, and distance angle decoupling is completed through a set of modulated transmitting pulses so as to realize positioning of a single target.

The invention relates to a digital neutron spectrometer, which comprises a detector unit, a mechanical control unit, a digital acquisition unit and a discrimination unit, wherein the detector unit is used for detecting neutron information of a radiation field to be detected; the mechanical control unit is used for controlling rotation and lifting of the detector unit; the digital acquisition unit is used for converting analog signals generated by the detector unit into digital signals; and the discrimination unit is used for analyzing the shape of pulses of the detector unit, and judging whether the pulses belong to neutron pulse signals or Gamma-ray pulse signals in real time. The neutron spectrometer provided by the invention is wide in neutron energy measurement range, can effectively determine an effective central position of detector measurement, reduce mutual scattering influences of detectors, has a good neutron and photon real-time discrimination ability, and respectively gives neutron and Gamma energy spectrum information in a neutron-Gamma mixed filed in real time.

The invention provides a high sensitivity receiving circuit applied to a pulse laser radar system. The circuit herein includes a photodiode, a data selector and also a first channel and a second channel which are disposed between the photodiode and the data selector. The photodiode serves as signal sampling input of the receiving circuit. The data selector serves as signal output of the receivingcircuit. The first channel includes a channel selection switch S1, a trans-impedance amplifier, a first-order RC differentiating circuit, a voltage amplifier 1, a zero-crossing comparator 1 and a threshold comparator 1. The second channel includes a channel selection switch S2, a charge sense amplifier, a main second-order RC differentiating circuit, a voltage amplifier 2, a zero-crossing comparator 2, a threshold comparator 1 and a threshold comparator 2. According to the invention, the trans-impedance amplifier and the charge sense amplifier serve as pre-positioned amplifiers, so that low noise and ultra-wide dynamic range can be realized, the time discrimination circuit can be realized with the first-order and second-order differentiating circuits, the voltage amplifiers and zero-crossing comparators. The receiving circuit herein also reduces cost and ensures high precision.

The invention discloses a method and a device for measuring up-conversion time resolved spectrum. A high power continuous photosemiconductor laser is driven by a high pulse pumping source to generate laser and to excite a sample to carry out up-conversion luminescence. An optical signal is split by a monochrometer, then received by a photomuitplier and converted to an electrical signal. While the monochrometer scans the wave length, a lock-in amplifier locks and amplifies the signal. The up-conversion resolved static-state spectrum is recorded and obtained. The monochrometer fixes the waver length; a digital oscilloscope monitors the pumping source and the luminescent signal to obtain the up-conversion time resolved dynamic-state spectrum. The method and the device are characterized in that the time resolved static-state spectrum and the dynamic-state spectrum in different states are measured through adjusting the pulse width, the frequency and the amplitude of the pulse pumping source; the dynamic mechanical characteristics of material up-conversion luminescence are learned; and the level structure information inside the material is analyzed.

The invention particularly discloses a transaction safety control method and a system based on a subject portrait. The method comprises the following steps: determining subject portrait data accordingto historical transaction data; Reading the subject portrait data corresponding to the real-time transaction data when the transaction occurs; Make the real-time transaction data and the main body portrait data carry on the difference comparison, in order to obtain the difference comparison result; Making the difference comparison result match the anti-fraud model similarly to get the similar matching result; Determining a transaction risk level according to the similarity matching result and the obtained real-time transaction data, so as to send out corresponding control instructions; The system includes data mart construction module, main body portrait generation module, in-memory database, matching result calculation module and transaction risk decision module. The invention can efficiently and accurately identify high-risk transactions, and can carry out real-time discrimination and control when high-risk transactions occur, so as to achieve the purpose of reducing or even avoiding fraudulent transactions in real-time, and protect the transaction safety of users.

The invention discloses a distribution network cable fault discrimination method and system using a grounding current signal. The distribution network cable fault discrimination method using the grounding current signal comprises the following steps: 1) selecting a typical distribution network cable line needing to be monitored in an emphasis manner, monitoring the grounding current of the typicaldistribution network cable line for a long time, and obtaining original data; 2) utilizing t-SNE to perform data mining and visualization processing on the monitored data to extract the characteristics of the original data, performs clustering analysis on the original data by using the DBSCAN, compares the classified non-periodic change rule abnormal cluster with the actual situation of the site,and establishes a knowledge base based on the characteristics of the grounding current; and 3) comparing the grounding current signals monitored in real time by using a knowledge base based on the grounding current characteristics, and updating the knowledge base according to on-site conditions to realize real-time discrimination of the state characteristics of the cable. The judgment of the distribution network cable is hardly influenced by the electromagnetic environment of the cable, and the result credibility is more accurate than the judgment result based on the threshold value.

The invention belongs to the large power grid stabilization and control field and mainly relates to a power grid fault critical clearing time discrimination method based on improved Softmax regression. The method is characterized by modifying a cost function of standard Softmax regression; using normal distribution taking correct classification as a center to be target probability distribution; taking a KL divergence between probability distribution acquired through model calculating and the target probability distribution as the cost function; and through reducing a normal distribution variance and carrying out continuous iteration, acquiring an optimal model.

The invention relates to a vehicle driving track display method, device and system, computer equipment and a storage medium. The method comprises: acquiring a vehicle driving track display request; Creating a driving track task according to the vehicle driving track display request; Searching vehicle driving track data of a vehicle corresponding to the license plate number in the driving track task in a database; Performing duplicate removal processing on the vehicle driving track data of the corresponding vehicle to obtain effective driving track data sorted according to time; And according to the effective driving track data, drawing and displaying the vehicle driving track on a map. According to the invention, accurate and real-time discrimination and display of vehicle driving track point locations are realized.

The invention relates to a road network traffic operation analysis method based on Spark, is based on real-time traffic flow data and constructs a road network traffic operation situation discrimination model in combination with the k-means and random forest algorithm. Distributed file system storage and an elastic distributed data set are selected to process traffic data in parallel, and real-time discrimination of the road network traffic operation status is realized. The method is advantaged in that a Spark big data machine learning platform is utilized, in combination with the distributedk-means algorithm for cluster analysis, a timeliness problem of the traditional k-means algorithm in the case of big data is improved, discrimination of the road network traffic operation status is realized, the analysis result can provide real-time and reliable road network operation status analysis services for highway management departments, moreover, the theoretical basis is provided for establishing an intelligent highway control platform.

The invention provides a multilayer sensor used for detecting tea polyphenol, a production method of the multilayer sensor, and a method for detecting the tea polyphenol in tea leaves by using the sensor. The sensor used for rapidly detecting the tea polyphenol in the tea leaves has the advantages of low cost, realization of visual detection due to difference of the color change with different detected tea polyphenol concentrations, low detection limit, no need of a large device, no pretreatment of a sample, simplicity in operation, and good stability, and can be used a cheap, convenient, simple and effective electron tongue for real time discrimination of plant-derived beverages with different brands or qualities. The sensor allows the tea polyphenol to be directly rapidly detected without pre-treating the detected sample.

The invention belongs to the technical field of nuclear radiation measurement and particle measurement, and particularly relates to a method for discriminating alpha/gamma mixed radiation field particles in real time based on digital waveform. The real-time discrimination method comprises the following steps: anode signals of a CsI (Tl) detector are acquired, and are converted by a 100MSPS ADC into digital signals; the thresholds of the digital signals are judged, the signals meeting the threshold condition are processed in two data flows, one data flow is used for counting, and the other data flow is used for discrimination; waveform discrimination parameters are extracted, sent to a serial transmission module, and sent to an upper computer; and upper computer software receives the discrimination parameters and displays the two-dimensional distribution of the discrimination parameters and the alpha/gamma discrimination spectrum. The problems such as huge system and poor stability of a traditional discrimination method and low efficiency of a digital off-line discrimination method are solved. The method of the invention has the advantages of accurate and reliable algorithm, simple and portable system, real-time discrimination capability, and the like.

The invention discloses a digital n-gamma real-time discrimination system. The system comprises a detector, a data acquisition card, an FPGA hardware platform and an upper computer. The detector is used for converting an n ray and a gamma ray into current signals. The data acquisition card is used for collecting the current signals and converting the current signals into digital pulse signals. TheFPGA hardware platform is used for calculating the centroid analysis providing parameters of the digital pulse signals through using an improved centroid algorithm according to the acquired digital pulse signals and is also used for determining a digital pulse signal amplitude and digital pulse signal time information according to the acquired digital pulse signals. The upper computer is used forstoring the centroid analysis providing parameters, the digital pulse signal amplitude and the digital pulse signal time information and drawing a n-gamma discrimination spectrogram according to storage information. By using the system of the invention, the improved centroid algorithm can be well realized, the n ray and the gamma ray can be distinguished, calculating complexity is low, a discrimination capability is high and a real-time discrimination requirement can be satisfied.

The invention provides a laser signal processing chip and a laser radar system. The chip includes: a band-pass filter, a transimpedance amplifier, a signal sampling circuit, and a time discrimination circuit. The received echo current signal is filtered to obtain the filtered current signal, and the filtered current signal is transmitted to the transimpedance amplifier; wherein, the echo current signal is reflected by the photoelectric converter in the laser radar system on the received object to be detected The laser signal is converted and generated; the transimpedance amplifier is used to convert the received filtered current signal into an echo voltage signal, and transmits the echo voltage signal to the signal sampling circuit and the time identification circuit respectively; the signal sampling circuit is used for The received echo voltage signal is sampled to obtain grayscale information; the time discrimination circuit is used to respectively process the received echo voltage signal to obtain the receiving time of the laser signal.

The invention provides a readout circuit. The readout circuit is configured to read out a current signal outputted by an avalanche diode operating in a linear mode according to a certain frame rate toprovide a stopping criterion for a follow-up timing circuit; and thus flight time and an echo light intensity of the pulse are obtained to complete the function of laser detection. According to the readout circuit, a stopping time of a timer is obtained based on a signal received by an APD, so that a time discrimination error is reduced as much as possible and thus accurate flight time TOF is calculated and precise distance information is obtained.

The invention discloses a homology cluster identification method based on wavelet transformation and an apparatus thereof. The method comprises the following steps of acquiring a power angle curve of each generator in an electric power system; carrying out wavelet transformation analysis on the power angle curve of each generator respectively; carrying out feature extraction on the power angle curve of each generator after the wavelet transformation analysis respectively to acquire a homology identification key characteristic of each generator; according to the homology identification key characteristic of each generator, carrying out cluster analysis based on a density so as to acquire a plurality of homology clusters. By using the method, the homology clusters during a transient process in the electric power system can be rapidly and accurately identified and real-time discrimination of the homology clusters is realized so that an important reference is provided for scheduling personnel to adopt corresponding emergency control measures and a stable control level of the electric power system is increased.

The invention relates to a rapid specific ship target identification method based on satellite-ground integration in the technical field of satellite identification, and the method comprises the following steps: A, a ground system using AIS information accumulated for a long time to establish a checking condition importance degree sequence for demands; B, inputting the AIS information, and generating a black list and a white list according to black list and white list generation processes; C, sending the updated ship target black and white list to a satellite through a remote control channel,carrying out real-time discrimination on AIS information received in real time by the satellite, and distributing a result to a user side in real time; and D, sending the uncertain AIS information received by the satellite to a ground system, and supplementing a black list and a white list by using a black list and white list generation process. According to the method, the problem that the satellite selects the specific ship target is effectively solved, and the discovery rate and accuracy of the satellite on various specific ship targets are improved.