112 results about "Pulse processing" patented technology

The invention provides a pulse passing rate improving method based on accumulation signal demodulation, and belongs to the technical field of nuclear electronics digital pulse processing. Comprising the following steps: performing baseline deduction and monopulse screening on a radiation field pulse signal; constructing a nuclear pulse signal model, fitting to obtain model parameters, and constructing a system response matrix; modeling a nuclear detection physical process into a mathematical model; solving a constraint optimization problem by using a non-negative least square method; and demodulating and calculating all the pulse signals including the stacked pulses which are discarded by stacking, so as to obtain delta pulses containing energy information. According to the invention, the accumulation signal which is abandoned by a traditional accumulation abandoning algorithm is demodulated, so that the technical problem of increasing the pulse passing rate is solved, and meanwhile, heavy peaks and high-energy trailing in an energy spectrum are inhibited. Compared with an existing accumulation discarding method, the pulse passing rate effect is remarkably improved on the premise that the energy spectrum accuracy is guaranteed.

The invention discloses a brain inspiration-based multi-modal data-driven driver emotion recognition method and system. Feature extraction is performed on the face video data and the multi-source heterogeneous driving behavior data after pulse processing through a constructed pulse neural network brain-like model of a driver face video feature extraction network, a multi-source heterogeneous driving behavior feature extraction network and a multi-modal feature fusion network; and outputting a cross-modal pulse attention feature fusion result, and identifying the emotion of the driver. Experiments show that the method is remarkably superior to an existing method in the aspects of accuracy, real-time performance and robustness, and the problems that single-modal recognition accuracy is insufficient, facial video and multi-source heterogeneous driving behavior modal feature extraction is insufficient, and a modal fusion strategy is low in efficiency are effectively solved. In addition, the pulse neural network brain-like method significantly accelerates the calculation speed, enhances the anti-interference capability of the model, and provides an efficient emotion recognition solution for an intelligent driving system.

The invention provides a multi-modal pulse fusion network prediction framework for aero-engine gas path performance parameters, and belongs to the technical field of aero-engine gas path performance parameter prediction and fault diagnosis. The method comprises the following steps: firstly, acquiring flight data of an aero-engine, and preprocessing data of each sensor; secondly, constructing a multi-modal pulse fusion neural network model comprising a time sequence data pulse processing module, an image data pulse processing module, a multi-modal feature fusion module and a prediction output module; and finally, training the multi-modal pulse fusion neural network model, and predicting gas path performance parameters by using the trained model. According to the method, the leakage integration distribution spiking neuron and the attention mechanism are introduced, the depth feature extraction and fusion of the time sequence data set and the image data set are realized, the complex nonlinear correlation between the data is effectively captured, the accuracy of the prediction result is remarkably improved, and the real-time prediction requirement in the operation process of the aero-engine can be met.

The embodiment of the invention is suitable for the technical field of detection, and provides a pulse processing circuit and method, a sensor and electronic equipment, the pulse processing circuit is configured to be connected with a photoelectric detector, the photoelectric detector comprises at least one photoelectric detection unit, and the photoelectric detection unit is used for outputting a digital pulse signal for a detected single photon; the pulse processing circuit comprises a pulse response module which is connected with at least one photoelectric detection unit and is configured to output a neural network input pulse signal corresponding to the photoelectric detection unit under the condition that a digital pulse signal is received; the neural network module is connected with the pulse response module and is configured to respond to neural network input pulse signals at different moments, generate feature data and output the feature data; the feature data is used for generating a detection result. According to the embodiment of the invention, the feature data can be extracted on the premise that the digital pulse signal does not need to be stored, and the data output quantity is effectively reduced.

The present invention relates to the technical field of functional property modification of high-temperature shape memory alloys, and in particular to a method for improving the superelasticity of NiTiHf high-temperature shape memory alloys. The method specifically comprises the following steps: sequentially subjecting NiTiHf high-temperature shape memory alloy ingots to homogenization treatment, rolling treatment, and electric pulse treatment. The present invention couples rolling with electric pulses and precisely controls parameters such as temperature, time, and frequency, thereby successfully achieving a NiTiHf high-temperature shape memory alloy with significantly improved superelastic properties without the need for severe plastic deformation treatment and long-term medium and high temperature heat treatment. Compared with the cast NiTiHf high-temperature shape memory alloy, in addition to significantly improving the superelastic properties, the elongation and tensile strength of the alloy are also greatly improved, wherein the recoverable strain increase is more than 200%, the elongation is increased by nearly 3 times, and the tensile strength is increased by more than 10%.

The invention belongs to the related technical field of laser micro-nano machining, and particularly relates to a 2.5 D micro-pattern laser machining method based on an acousto-optic deflector and a galvanometer, which is realized by adopting a laser device based on combination of an acousto-optic deflection module and the galvanometer, and comprises the following steps: in single track scanning of the galvanometer, according to a preset pulse machining sequence corresponding to a machined pattern, carrying out laser processing on the machined pattern according to a preset pulse processing sequence corresponding to the machined pattern; frequency control signals corresponding to the pulses are input into the two acousto-optic deflectors respectively, so that laser pulse distribution formed on the machined part after single-time track scanning of the galvanometer is shown as the pulse superposition number in the depth direction and the lap joint rate between adjacent pulses in the normal direction of the advancing direction of the galvanometer; the pulse superposition number of each pulse position in the depth direction reflects the processing depth of the pulse position, and the pulse number and the pulse overlap rate of each positioning position in the normal direction of the moving direction of the galvanometer are determined according to the section width and the contour radian in the width direction of a processing graph. According to the invention, the processing of any 2.5 D micro-pattern can be realized.

The invention relates to a narrow-band interference filtering method and device based on an HPLC (High Performance Liquid Chromatography) chip, and belongs to the technical field of power line carrier communication. When pulse processing is carried out on a signal, AGC / DAGC processing is paused if a narrowband interference detection starting signal is detected, a narrowband interference detection module calculates a narrowband interference frequency point by using the signal of which the AGC / DAGC processing is paused, and a filter coefficient used by a narrowband interference elimination module is determined based on the narrowband interference frequency point; and the narrowband interference elimination module carries out narrowband interference elimination processing according to the determined filter coefficient. Wherein the AGC / DAGC processed signal is paused when the signal participating in the calculation of the narrowband interference frequency point is subjected to pulse processing, so that signal fluctuation caused by AGC / DAGC processing is avoided, the calculation accuracy of the narrowband interference frequency point is improved, and the narrowband interference filtering effect is ensured.

The invention discloses a scintillator gamma spectrometer LED spectrum stabilization system and method based on a current type spectrometer, and relates to the field of spectrometer equipment, the system comprises a scintillator detector, a light guide, an LED, an optical attenuator, an electronics system and an upper computer; the electronic system comprises a photoelectric converter, a current type pre-amplifier and a current type digital pulse processor, and the system is not provided with a temperature acquisition system, and can more accurately reflect the characteristics of a scintillator detector of spectral line drifting, thereby achieving a more accurate spectrum stabilization effect, and reducing the complexity of the system. Only the change of the base line is considered, and the original signal pulse can be correctly extracted after the base line is recovered by the spectrometer through the base line deduction algorithm, so that the dead time is close to zero, the counting rate loss in the spectrum stabilization process can be effectively reduced, and the measurement precision is improved.

The invention discloses a recommendation system based on user behavior analysis, and relates to the technical field of artificial intelligence and information recommendation, and the system comprises a front-end signal acquisition module, a layered pulse processing module, a differential signal amplification module and a recommendation strategy generation module. User behaviors are divided into three levels of millisecond-level instantaneous pulse, minute-level behavior wave and hour-level trend flow, and the relevance of behavior mutation of each level is extracted through a differential signal amplifier, so that the system can sensitively capture behavior changes of a user under different time scales, accurately insight into instant interests and long-term demands of the user, and improve the user experience. The system can quickly find the attention of a user to specific contents through millisecond-level instantaneous pulse analysis, and further understand the behavior preference and potential requirements of the user by combining the analysis of minute-level behavior waves and hour-level trend flow.

Space-based infrared detection of aerospace high-speed target pulse vision payload processing system and method. The payload processing system includes a temperature control component, a cryogenic lens component, a short-wave pulse vision detector component, a focal plane cooler component, a pulse processing circuit component, and a light shield component. By enabling each pixel in the collected salient data to independently record the light change on its own instead of imaging together at a specific moment, all pixels are arranged in a spatial layout to form a signal flow array, accurately depicting the physical process of light change over a period of time collected. This breaks through the limitations of the traditional detector signal acquisition method, A / D conversion, readout method, etc., can greatly improve the time sensitivity of detecting targets and events, has a higher frame rate, and has the ability to generate intelligent information.

The invention relates to a high-precision sensing device capable of being used for GIS accidental partial discharge positioning and type diagnosis. The high-precision sensing device comprises an ultrahigh frequency sensor and a data acquisition system. The ultrahigh frequency sensor is responsible for capturing weak accidental partial discharge signals generated in the GIS equipment; the captured original signal is then sent to a filtering and amplifying module and a synchronization module for hardware preprocessing, and is digitalized through a high-speed sampling assembly; the digitized mass data are transmitted to the high-performance GPU parallel computing unit, and the data are efficiently analyzed by utilizing the strong parallel processing capability of the high-performance GPU parallel computing unit. According to the invention, the equipment sampling rate is improved to a high sampling rate of 5GHz, so that the partial discharge pulse sampling interval of the GIS partial discharge monitoring equipment reaches 0.2 ns, and the sampling points and the data volume are greatly increased; gPU parallel computing is combined and utilized to greatly improve the pulse processing capacity, so that the system can effectively find and capture intermittent and accidental partial discharge signals, and the detection rate of the intermittent and accidental signals is remarkably improved.

The present invention provides a high-voltage pulse generating circuit and a high-voltage pulse generator, comprising: a pulse processing circuit connected to a first-stage push-pull circuit for generating complementary square wave pulses; a floating voltage boosting circuit connected to the first-stage push-pull circuit and the second-stage push-pull circuit, respectively, for powering the second-stage push-pull circuit; the first-stage push-pull circuit and the second-stage push-pull circuit, respectively, for generating a high-voltage drive pulse driven by the square wave pulse; and the second-stage push-pull circuit, driven by the high-voltage drive pulse and powered by the floating voltage boosting circuit, for generating a target high-voltage pulse to control the switching state of a high-voltage control device. In the present invention, a floating voltage boosting circuit is used to continuously power the second-stage push-pull circuit, i.e., the drive voltage of the second-stage push-pull circuit can be suspended, thereby achieving a continuous high-voltage output with a 100% duty cycle.

The present invention discloses a narrow pulse processing structure and a processing method thereof. The structure includes: a current signal conversion unit for converting the current detected in the device into a voltage signal; a comparator module connected to the current signal conversion unit, the comparator module compares the voltage value of the voltage signal with a voltage reference value and outputs a corresponding digital signal according to the comparison result; and a logic processing module connected to the comparator module, the logic processing module obtains the current range corresponding to the current according to the digital signal and determines whether the current range is less than the safe turn-off current. The present invention enables the floor board to not need to perform any processing on narrow pulses, reduces the software overhead of the control board, and improves the applicable range of the drive board.

The application discloses a cam control method and device, equipment and medium, and relates to the field of mechanical automation control. The method is applied to an FPGA, and comprises the following steps: extracting a target parameter for representing the length of a target segment sub-path from a cam table, and updating a first counter for counting the displacement of a main shaft and a second counter for counting the displacement of a slave shaft; determining the target pulse number required to be output by the slave shaft by using the counting ratio relationship between the current two counters; if the main shaft has pulse input, updating the first counter, controlling the slave shaft to output the target pulse number of pulses, and updating the second counter; judging whether the pulse processing for the target parameter is completed based on the current counting of the two counters; if not, jumping to the step of determining the target pulse number required to be output by the slave shaft by using the counting ratio relationship between the current first counter and the current second counter. The application can reduce the resource consumption of the FPGA, and enable the slave shaft to quickly respond to the input of the main shaft.

The invention discloses a narrow pulse signal processing method of a transistor in a vehicle, a storage medium and the vehicle. The vehicle comprises a permanent magnet synchronous motor, and the method comprises the steps that current information and position information of the permanent magnet synchronous motor are obtained, the current information is used for representing the state of current in the permanent magnet synchronous motor, and the position information is used for representing the state of the position where the permanent magnet synchronous motor is located in the rotating process; on the basis of the current information and the position information, duty ratio information of the transistor is determined, and the duty ratio information is used for representing the ratio of the duration of driving the permanent magnet synchronous motor by the transistor in response to the initial driving signal to the signal period of the initial driving signal; processing a narrow pulse in the initial driving signal based on the duty ratio information; and obtaining a target driving signal after the narrow pulse processing is completed, controlling the transistor to respond to the target driving signal, and re-driving the permanent magnet synchronous motor to operate. The technical problem that narrow pulse signals cannot be effectively processed is solved.

The present invention discloses a digital multi-channel pulse amplitude analysis device, which includes: a signal conditioning module, a digital-to-analog conversion chip, an FPGA digital processing module, a memory, a multi-core DSP chip, a power supply module, a clock module and a display module. The pulse processing function of the analog circuit between the preamplifier and the digital-to-analog conversion chip sampling in the prior art is implemented using the FPGA digital processing module and the multi-core DSP chip, and processed by a first preset algorithm and a second preset algorithm. The specific process of the first preset algorithm and the second preset algorithm is that the signal output by the preamplifier is directly sampled by the digital-to-analog conversion chip after passing through a simple main amplification circuit, and then threshold positioning, pulse counting or accumulation discrimination, peak extraction, and pulse counting are implemented in the multi-core DSP chip, thereby making the digital multi-channel pulse amplitude analysis device in the embodiment of the present invention small in size, simple in structure, and convenient for debugging and modifying parameters.

The invention discloses improved laser-induced graphene and a preparation method thereof.The preparation method comprises the steps that a base material is cleaned and dried, a polyimide film is cut, and the polyimide film is tightly attached to the surface of the base material; performing patterning processing on the surface of the polyimide film by using laser to obtain patterned laser-induced graphene; placing the patterned laser-induced graphene in a vacuum environment; and performing pulse processing on the patterned laser-induced graphene to obtain the improved laser-induced graphene. According to the preparation method of the laser-induced graphene, a pulse current processing mode is adopted, and the laser-induced graphene is adjusted so as to change the number of graphene layers, induction strain in crystal lattices and an electron energy band structure. The pulse current processing in the step S4 is short in time consumption, the crystal structure of the laser-induced graphene can be accurately controlled by adjusting pulse parameters such as voltage and duration, the operation is more convenient, the controllability is higher, and the influence on the environment is extremely small.

A channel between quantum controller modules (e.g., pulse processors) is operable to communicate high speed data required for processing qubit states that may be distributed across a quantum computer. The latency of the communication channel is deterministic and controllable according to a system clock domain.

The application provides a laser pulse processing method for improving corrosion resistance of white copper alloy and the white copper alloy, and relates to the technical field of material engineering. The laser pulse processing method for improving corrosion resistance of white copper alloy comprises the following steps: performing surface cleaning on the white copper alloy, then heating the white copper alloy by using a laser heater, and rapidly cooling the white copper alloy by using a cooling medium. According to the laser pulse processing method, the metal with a thickness of 1-10 microns on the surface of the white copper alloy is rapidly melted under the non-contact heating action of the laser, and then rapidly cooled under the action of low-temperature inert gas, so that an amorphous layer with a thickness of 1-10 microns is formed. The amorphous layer can protect the surface of the alloy and hinder the penetration of ions in the environment on one hand, and the amorphous layer is easy to be passivated to form a dense passivation layer, thereby improving the corrosion resistance of the alloy.

The present invention discloses an integrated single-photon detector assembly, comprising a substrate, a temperature control chip and a multifunctional integrated chip. The temperature control chip comprises a TEC chip. The multifunctional integrated chip integrates a narrow pulse processing module, an avalanche signal discrimination module and an avalanche signal coincidence module. The multifunctional integrated chip is placed above the TEC chip. The narrow pulse processing module is connected to the avalanche signal coincidence module, and the avalanche signal coincidence module is connected to the avalanche signal discrimination module. The present invention has the advantages of small circuit space occupation, low production difficulty and cost savings.

Examples are disclosed that relate to depositing carbon films using a pulsed plasma. One example provides a processing tool, comprising a processing chamber, a substrate holder, a showerhead, flow control hardware configured to connect one or more processing gas sources with the showerhead, a radiofrequency (RF) power supply configured to provide RF power to form a plasma between the substrate holder and the showerhead, and a controller configured to control the flow control hardware to introduce a flow of a carbon-containing precursor and an etchant into the processing chamber through the showerhead during a deposition process, and to control the RF power supply to pulse the plasma during the deposition process.

Systems and methods for monitoring batteries in user devices are disclosed. The user devices include mobile phones and laptops, in examples. The system includes a micro-electro-mechanical system (MEMS) ultrasound source, a MEMS ultrasound sensor, a signal drive and acquisition module (SDM), and a processor. The MEMS source and sensor are included within the user device and are disposed against the battery. The SDM configures the MEMS source to transmit an ultrasound pulse into the battery, and the MEMS sensor detects ultrasound reflected by or transmitted through the battery. The SDM collects the detected pulses, and the processor analyzes the detected pulses to determine states of the battery including a state of health, a state of charge and an instantaneous battery thickness measurement. For example, the SDM and the processor can be included within the user device, and / or the SDM and the signal processor can be incorporated into an integrated circuit.

The invention provides a traditional Chinese medicine robot diagnosis and treatment system based on a multi-modal large model, and the system comprises a pulse condition processing unit which is used for extracting pulse condition time sequence features through a hybrid network; the tongue picture processing unit is used for realizing tongue body region detection, segmentation and tongue picture feature extraction based on a two-way network; the symptom standardization unit is used for screening sound-to-text low-probability words, constructing a dynamic hot word window, performing vector comparison on the hot word window and a pinyin result thereof with a semantic vector library, acquiring candidate words, correcting the candidate words, performing natural language processing on a correction result, and acquiring a standardized symptom set; the large model core comprises a feature fusion unit, an auxiliary diagnosis unit and a treatment suggestion unit; and the user interaction module is used for being connected with the large model core, receiving user input and presenting an auxiliary diagnosis and treatment result. According to the application, quantitative acquisition and cross-modal fusion analysis are realized, a complex reasoning process is automatically completed, a structured diagnosis and treatment scheme is generated, the dialectical accuracy is high, the response speed is high, and the system is suitable for being deployed and applied in basic medical institutions.

An ultrasonic multivariable process transmitter (4) includes an ultrasonic transmitter (68) configured to transmit a pulse of input ultrasonic vibrations into a proximal surface (24) of a wall. The pulse propagates through the wall and reflects from a distal surface (32) to form a reflected pulse of output ultrasonic vibrations. An ultrasonic receiver (70) receives pulses of ultrasonic vibrations at the proximal surface (24). Processing circuitry (62) correlates the received reflected pulse of output ultrasonic vibrations with changes in the surface of the wall. The received pulses are further a function of a process variable of a process related to a process fluid in contact with a. surface of the wall. An output indicative of the process variable of the process is provided.

The invention discloses a nickel-based superalloy texture regulation and control method for metal additive manufacturing, and belongs to the technical field of metal additive manufacturing. Comprising the steps that IN718 nickel-based high-temperature alloy powder is put into a powder feeding system of laser deposition equipment, and a substrate is placed on a workbench; adjusting the distance between the nozzle outlet plane and the substrate plane; a laser is set to be in a pulse machining mode, technological parameters are set, multi-layer scanning is carried out, and a sample is obtained through deposition. By adjusting the distance between the outlet plane of the nozzle and the plane of the substrate and melting and depositing the powder material by using the pulse laser, grain orientation regulation and control are realized, the grain size is reduced, and the texture form on the cross section is changed under the condition that external auxiliary means are not used and material components are not changed.

The invention discloses a heterogeneous computing architecture for a nuclear radiation detection front end, which comprises a data acquisition unit, an FPGA (Field Programmable Gate Array) real-time signal processing unit, an MCU (Microprogrammed Control Unit) cognitive decision unit and a wireless communication and alarm unit which are in signal connection in sequence, a radiation detector of the data acquisition unit acquires a radiation signal; the FPGA real-time signal processing unit is used for preprocessing the radiation signal acquired by the data acquisition unit and adjusting the radiation detector according to the acquired radiation signal; and the MCU cognitive decision unit is used for obtaining an analysis result through a lightweight deep neural network model according to the received radiation signal, and controlling the wireless communication and alarm unit to execute corresponding actions. The micro-amp standby power consumption constraint is met, meanwhile, the contradiction between high-real-time digital pulse processing and high-precision energy spectrum long-term stability is solved, and the technical bottleneck that a complex intelligent algorithm is efficiently deployed on an MCU is solved.

An apparatus for multiphoton parallel transmission for magnetic resonance imaging (MRI) of a subject, includes a radio frequency (RF) transmit coil, a single-channel universal excitation coil positioned outside of the RF transmit coil, and a processor device coupled to the RF transmit coil and the single-channel universal excitation coil. The RF transmit coil is configured to perform at least one RF excitation pulse of a multiphoton parallel transmit excitation comprising a multiphoton excitation pulse configured to correct spatial inhomogeneities and the single-channel universal excitation coil is configured to perform a low-frequency excitation pulse of the multiphoton excitation pulse. The processor device is configured to control current waveforms provided to the RF transmit coil to perform the at least one RF excitation pulse and to control current waveforms provided to the single-channel universal coil to perform the low frequency excitation pulse of the multiphoton excitation pulse.

This invention proposes a chip architecture supporting the RISC-V instruction set and a dedicated extended instruction set for spiking neural networks (SNNs). The dedicated extended instructions for SNNs undergo a fetching, decoding, and transmission process before entering the SNN computation unit. The SNN initialization instructions enable training or inference and set the initialization voltage. Synaptic and input data are read from memory according to the pulse processing instructions in the dedicated extended instructions and processed in the pulse processing unit to obtain the update voltage required by the neurons. The neuron state is read from memory according to the neuron-related instructions in the dedicated extended instructions and enters the streamlined LIF neuron update unit to update the neurons according to the update voltage. The update result is stored in a dedicated SNN register. Synapses are updated according to the synaptic update instructions in the dedicated extended instructions. The results of the SNN computation unit are written back through a write-back stage.

According to an aspect, there is provided an apparatus for use with a treatment device for providing feedback to a user about a treatment operation performed on a body part of a subject, wherein the treatment device is configured to apply light pulses to skin of the body part to perform the treatment operation, wherein the light pulses applied to the skin treat an area of the skin. The apparatus comprises a processing unit configured to receive a first measurement signal from a first sensor, the first measurement signal comprising information about a position and / or motion of the treatment device over time; process the first measurement signal to estimate a previous treatment position as a position of the treatment device relative to the body part when a light pulse was generated for a light pulse previously applied to the body part by the treatment device during the treatment operation; estimate a previous treatment area for the previously applied light pulse based on the estimated previous treatment position, the previous treatment area corresponding to an area of the skin of the body part to which the light pulse was applied when the treatment device was at the previous treatment position; process the first measurement signal to estimate a current position of the treatment device relative to the body part; estimate a current treatment area based on the estimated current position of the treatment device, the current treatment area corresponding to an area of the skin to which a light pulse will be applied when the treatment device is at the current position; and generate a feedback control signal for a feedback unit, wherein the feedback control signal is configured to cause the feedback unit to generate feedback indicating whether the current treatment area corresponds to or substantially corresponds to the previous treatment area.

The invention discloses a multipath forming nuclear pulse processing method, which comprises the following steps of: performing filtering forming on an original pulse signal according to a trapezoidal forming method, dividing trapezoidal forming into n paths, sequentially increasing the rising time of the first path to the nth path, setting the flattop time of the first path as a minimum unit, and setting the flattop time of other paths as a fixed value L; taking the first path of filtering shaping waveform as a fast channel waveform, and taking the other paths of filtering shaping waveforms as to-be-selected shaping channel waveforms; when the rising edge of the fast channel waveform triggers an amplitude trigger threshold, taking the rising edge as a pulse and recording a trigger moment; calculating the time difference between each pulse and front and back pulses; and taking the time difference as a reference, and taking the to-be-selected forming channel waveform as a final forming channel waveform. According to the invention, a plurality of slow channels with different forming time are arranged, the channel with proper forming time is dynamically selected, and signals do not need to be discarded, so that more useful signals are obtained, and the accuracy of the signals is greatly improved.