14 results about "Pulse propagation" patented technology

The invention belongs to the technical field of semiconductor testing, and discloses a novel automatic detection system and method for the electrostatic protection performance of a power device. A distributed parasitic parameter network model is constructed by acquiring packaging structure parameters of a to-be-tested power device and physical layout data of a test fixture, key parasitic parameter distribution is identified in combination with a time domain reflection measurement technology, a waveform distortion coefficient is calculated, and a spatio-temporal evolution model of electrostatic pulse propagation is constructed. Based on the model, a compensatory predistortion waveform is generated to counteract the parasitic effect of a transmission path, a device port response signal is collected in real time, an energy dissipation characteristic spectrum is extracted through wavelet packet decomposition, and quantitative evaluation of the electrostatic protection performance is achieved. According to the invention, the test precision and repeatability are improved, and the method is suitable for electrostatic protection tests of various novel power devices, especially high-frequency wide-band gap devices.

The invention discloses a BOPP (Biaxially-oriented Polypropylene) rolling driving safety linkage control method, which relates to the technical field of industrial automation control and comprises the following steps: establishing an electromagnetic disturbance distribution diagram of a driving and rolling signal transmission path, extracting electromagnetic coupling strength distribution on the basis of a current pulse space diffusion track generated by a driving device and a rolling device in a start-stop stage, and calculating a driving speed of the driving and rolling signal transmission path; and dividing a strong coupling region and a weak coupling region according to the coupling strength to form a continuous electromagnetic characteristic band. The delay absorption layer and the reverse phase shift guide chain are arranged in a signal path, so that layered energy absorption and reverse phase counteracting are realized, electromagnetic pulse propagation is weakened, and false triggering is prevented; and meanwhile, a low-amplitude periodic slip signal is injected into the signal input end, so that the channel frequency generates micro-amplitude wandering, a dynamic self-adaptive anti-interference mechanism is formed, and stable and reliable signal transmission is ensured.

One example includes a superconducting analog-to-digital converter (ADC) system. The system includes a control line configured to propagate an interrogation pulse and a superconducting quantum interference device (SQUID) comprising a first Josephson junction and a second Josephson junction. The SQUID can be configured to receive an input current. The first Josephson junction can be configured to trigger to provide a first pulse in response to the interrogation pulse and a first polarity of the input current and the second Josephson junction can be configured to trigger to generate a second pulse in response to the interrogation pulse and a second polarity of the input current. The system further includes an output stage configured to propagate the first pulse to an output to indicate the first polarity of the input current.

A debouncing logic circuit for processing an asynchronous input signal (din) and provide a debounced signal (dout), including a clock edge (ck), a first stage of flip-flops (q0; q1) driven by the clock edge, a multiplexer (MUX1) and coupled to the first stage of flip-flops, a second stage of flip-flops (q2; q3), a counter logic module (cnt) driven by the clock edge, a comparator module, a second multiplexer (MUX2) operable to select between the processed output signal and the debounced signal based on the control signal from the comparator, the internal state being the selected signal and an output stage (q4) driven by the clock edge and configured to provide the debounced signal (dout).

The embodiment of the application discloses a kind of bridge artificial neuron unit composition's bionic hearing positioning system based on memristor circuit, it is related to neural morphic computing and artificial intelligence hardware field.In the present application: bridge artificial neuron unit includes the first memristor analog circuit connected with first capacitor and first load resistance, and the second memristor analog circuit connected with second capacitor and second load resistance, which are connected by first bridge capacitor, and coupled with external circuit by second bridge capacitor.The unit can simulate the pulse emission and refractory behavior of biological neuron.A plurality of the unit can be connected in series to build a one-way pulse propagation chain, forming a pulse propagation network.Based on the network, a coincidence detector can detect the small time difference of multiple input signals and be applied to a bionic hearing system to achieve sound source positioning.The present application has simple structure, high degree of modularity, and can realize high-reliability analog pulse propagation and high-precision coincidence detection.

The invention relates to a high-frequency RFID system decoding method based on synchronous index dynamic adjustment, and belongs to the field of radio frequency identification. The method comprises the following steps of: calibrating a starting point of a starting frame (SOF) pulse propagation time delay; the invention discloses a high-frequency RFID system decoding method based on synchronous index dynamic adjustment under the condition that SOF delay is accurate. The invention discloses a high-frequency RFID system decoding method based on synchronous index dynamic adjustment under the condition of SOF delay deviation. According to the method provided by the invention, the decoding of a high-frequency RFID system is realized, and the stable extraction and analysis of label data under non-ideal conditions such as noise, multi-label conflict and signal distortion can be realized through 8-time oversampling of bits and introduction of a synchronous index dynamic adjustment and dynamic window judgment mechanism; the problem of reliability of label information decoding of a reader-writer in a complex environment is effectively solved, and the reading accuracy and the anti-interference capability of a system are remarkably improved.

This invention discloses a detection system and method for cable fault location, relating to the field of cable fault location technology. It acquires nanosecond-level pulse propagation front-end change trajectory data and echo peak width change data to establish a high-frequency attenuation continuous-time distribution map; extracts pulse broadening growth segments and performs front-end compression control to form a compressed pulse front-end shape; rearranges the peak time position to separate low-amplitude reflection signals; tracks its amplitude trajectory and identifies local insulation anomaly segments by comparing with the peak width evolution trajectory; establishes a distance-back mapping and corrects the echo time coordinates to obtain the fault location interval. This invention improves the ability to identify early insulation defects by constructing a continuous-time distribution map and compressing pulse broadening segments, shortening the peak diffusion time, and separating low-amplitude reflection signals within the peak; simultaneously, it improves fault location accuracy and stability by establishing a distance-back mapping relationship and dynamically correcting the echo time coordinates.

The invention belongs to the technical field of data processing, and discloses a power distribution energy consumption data preprocessing method based on edge calculation, which comprises the following steps: collecting real-time current waveform data, and extracting a time sequence label and an amplitude peak value to obtain an original waveform attribute set; executing dynamic window sliding segmentation to obtain a transient sensitive paragraph sequence; for each paragraph in the transient sensitive paragraph sequence, tracking continuity deviation of an internal pulse propagation path of the paragraph, and isolating discontinuous pulse subsets to obtain an interference trace isolation set; on the basis of the interference trace isolation set and the remaining part of the transient sensitive paragraph sequence, synchronous offset verification between adjacent paragraphs is carried out, and a real load pulse subsequence is discriminated and marked; separating and recombining a real load pulse subsequence and the interference trace isolation set, constructing an edge purification waveform flow, and recording a purity mark of each subsequence to obtain a preprocessed data flow set; and the accuracy of energy efficiency evaluation is greatly improved.

The invention relates to an inventory difference checking method and system based on an inventory dynamic propagation network, and belongs to the field of inventory management. The method comprises the following steps: acquiring a pulse conduction coefficient, and constructing an inventory dynamic propagation network based on the pulse conduction coefficient; acquiring an operation pulse, and injecting the operation pulse into the inventory dynamic propagation network; performing pulse propagation simulation based on the inventory dynamic propagation network, and outputting coherent pulse intensity and dissipated energy of each node; establishing an early warning mechanism based on the dissipated energy hot spots based on the dissipated energy; and after an early warning mechanism is triggered, tracing of a dissipation source is carried out. According to the invention, by constructing the inventory dynamic propagation network and introducing the pulse conduction and energy dissipation model, the interference effect between operations can be effectively captured, the conversion from passive response to active prediction is realized, and the accuracy and robustness of inventory management are significantly improved.

This invention discloses a health assessment method for DC-DC converters based on spiking neural networks, belonging to the field of fault diagnosis technology. The health assessment method includes: Step S1, acquiring voltage ripple signals of the DC-DC converter circuit under normal conditions and different health conditions to obtain an original sample dataset; Step S2, using wavelet transform to preprocess the acquired original sample dataset to generate a processed image dataset, which is then divided into a training dataset and a test dataset; Step S3, combining a Ghost convolution module with a spiking neural network model to establish a lightweight spiking neural network model, fusing the lightweight spiking neural network model with phantom convolution and pulse propagation models, and adding a compressed axial attention mechanism; Step S4, training the lightweight spiking neural network model from Step S3 and verifying the model's detection effect.

This invention belongs to the field of data processing technology. It discloses a preprocessing method for power distribution energy consumption data based on edge computing, comprising: acquiring real-time current waveform data, extracting time-series labels and amplitude peak values ​​to obtain an original waveform attribute set; performing dynamic window sliding segmentation to obtain a transient sensitive segment sequence; for each segment in the transient sensitive segment sequence, tracking the continuity deviation of its internal pulse propagation path and isolating discontinuous pulse subsets to obtain an interference trace isolation set; based on the interference trace isolation set and the remaining part of the transient sensitive segment sequence, performing synchronization offset verification between adjacent segments, identifying and marking the real load pulsation subsequence; separating and recombining the real load pulsation subsequence and the interference trace isolation set to construct an edge-cleaned waveform stream, and recording the purity imprint of each subsequence to obtain a preprocessed data stream set; greatly improving the accuracy of energy efficiency assessment.

A system for measuring the propagation time of optical pulses between at least two units. The presented system further enables the calculation of the distance between at least two units (101a, 101b), and the successive derivatives of said distance with respect to time, in various configurations. The bidirectional optical time transfer between two units is used for the calculation of the propagation time of optical pulses, which are generated by the optical source of each unit.

The embodiment of the invention discloses a bridging artificial neuron unit based on a memristor circuit and a bionic auditory positioning system, and relates to the field of neuromorphic calculation and artificial intelligence hardware. A bridging artificial neuron unit comprises a first memristor analog circuit connected with a first capacitor and a first load resistor and a second memristor analog circuit connected with a second capacitor and a second load resistor, and the first memristor analog circuit and the second memristor analog circuit are connected through a first bridging capacitor and are coupled with an external circuit through a second bridging capacitor. The unit can simulate pulse distribution and non-stress behaviors of biological neurons. A plurality of units are connected in series to construct a one-way pulse propagation chain to form a pulse propagation network. The coincidence detector constructed based on the network can detect the tiny time difference of multiple paths of input signals, and is applied to a bionic auditory system to realize sound source positioning. The device is simple in structure, high in modularization degree and capable of achieving high-reliability analog pulse propagation and high-time-precision coincidence detection.

This invention discloses a method for monitoring catering fume emissions based on edge computing, comprising the following steps: collecting catering kitchen fume sensor data, operational behavior data, and environmental parameter data; generating fume emission pulse sequences and operational stimulus pulse sequences; establishing propagation correlations to form a fume emission synaptic network; generating emission behavior neural coding sequences based on the relationship between the operational stimulus pulse sequences and the fume emission pulse sequences; marking synaptic connections as synaptic locked states when stability criteria are met; performing propagation calculations to obtain counterfactual pulse propagation paths and identifying key pollution triggering behaviors; updating synaptic connection weights to obtain a dynamic synaptic structure; and combining key pollution triggering behaviors with the dynamic synaptic structure to generate abnormal fume emission warning information. This invention utilizes counterfactual propagation and dynamic synaptic control methods to achieve causal identification of fume emissions, possessing advantages of high accuracy and robustness.