86 results about "Channel gating" patented technology

The invention relates to the technical field of exercise rehabilitation, and discloses a percutaneous spinal nerve electrical stimulation system and method, and the system comprises a power module which is used for converting an external alternating current into a stabilized power supply; the MCU module controls the pulse signal generation module; the pulse signal generation module is used for generating an electrical stimulation waveform; the DAC module receives the digital signal; the modulation module is used for receiving analog signals; the amplification module is used for receiving modulation waveforms; the multi-channel gating module is used for distributing stimulation current to a plurality of channels; the current detection module monitors the magnitude of current output by each channel in real time; and the ADC module performs digital conversion on the current analog signal output by the electrical stimulator. According to the invention, multi-channel and real-time modulation electrical stimulation signals can be output through modulation of two paths of stimulation signals, spinal cord sensory nerves are activated through the non-invasive epidermal electrode, amputation hand feeling is induced, the defect that electromyographic signals are interfered by the tail end of a stump in the prior art is improved, and the accuracy of an electromyographic signal decoding algorithm is also improved.

The invention relates to the technical field of communication, in particular to a USB-A interface and serial port dynamic switching and protection system based on an analog switch. Comprising a main control unit, the main control unit is used for planning dynamic switching and conflict coordination of a USB-A interface and a serial port as a whole, generating a conflict-free channel switching control instruction by integrating a dynamic priority scheduling algorithm and combining a USB data transmission real-time load, a serial port communication request emergency degree and a device historical interaction record fed back by a state detection unit, and sending the conflict-free channel switching control instruction to the state detection unit; the analog switch unit is driven to complete channel gating; an analog switch unit; a grading protection unit; a protocol adaptation unit; and a state detection unit. Priority scheduling is carried out by means of the main control unit in combination with multi-dimensional parameters such as the transmission load of the USB-A interface and the communication emergency degree of the serial port UART, communication channels of the USB-A interface and the serial port can be flexibly switched, the flexibility and adaptability of interface switching are enhanced, and the problem of switching limitation caused by a single triggering condition is solved.

The invention relates to an improved YOLOv8 small target detection method based on SENet, and the method comprises the steps: introducing semantic dilution loss, and measuring the dilution degree of small target features in a channel; a suppression reverse weight is generated through an SENet structure, and background redundancy is suppressed while a high response area is reserved; a C2f structure of YOLOv8 is fused, and decoupling characteristics are transmitted in cross-layer connection; in the Neck feature pyramid, a SENet response migration relation is constructed; calculating a weight deviation value, and judging whether the small target response has spatial deviation or not; position balance loss is introduced, and feature repositioning is carried out on a small target area with overlarge center-of-gravity drift; designing a channel response consistency measurement index, and measuring the SE response consistency of the small target between different epochs; sENet channel output is extracted from the image, and the variance of target area channel response distribution is counted; a channel with high variability is weakened or suppressed from a current image detection path, a detection head is introduced into a channel gating mechanism, a stable channel is adaptively selected to participate in prediction, and the small target feature representation capability is significantly enhanced.

The invention discloses a wearable optical sensor glove, a system, a gesture recognition method and an article recognition method. Comprising a customized flexible glove body, a flexible circuit board, a photoelectric detector, a flexible force-induced luminescence optical fiber, a multipath gating device and a single-chip microcomputer control module. Wherein the customized flexible glove body is made of a flexible material; the flexible circuit boards are arranged on finger parts and a hand back part of the glove; the photoelectric detector is mounted in the finger region and is electrically connected with the multi-path gating device; the flexible force-induced luminescence optical fiber is fixed on the photoelectric detector in each finger region; the multi-channel gating device and the single-chip microcomputer control module are also integrated on the flexible circuit board on the back of the hand and are electrically communicated with each other. The system has good anti-interference performance, and can realize the functions of high-speed dynamic detection, article identification and the like.

The invention relates to a method for monitoring prefabrication and assembly errors of a steel box laminated continuous box girder bridge, and belongs to the technical field of data processing. The method comprises the following steps: collecting prefabrication and assembly error monitoring data of the steel box superposed continuous box girder bridge, and marking the data; an error prediction model is constructed, wherein the error prediction model comprises a physical constraint feature fusion layer, a causal convolution layer, a Bayesian uncertainty propagation layer, a residual attention mechanism module and a dual-channel gating fusion module; training the model by adopting the marked data; in the training process, optimizing the model by constructing mixed loss to obtain a trained model; and aligning timestamps of the collected structure parameters, construction processes, environment parameters and measurement and state parameters of the new prefabricated segment, integrating the parameters into an input sample isomorphic with the training set, and inputting the input sample into the trained model to obtain a prediction result. According to the invention, systematic deviation can be effectively eliminated, and high-robustness and high-precision error prediction is realized.

The present disclosure provides a power supply voltage drop detection device and system. The device comprises a gating unit, a first detection channel, and a second detection channel. In a first duration of a control cycle, the gating unit outputs a power supply voltage to the first detection channel, and outputs a threshold voltage to the second detection channel; and in a second duration, the gating unit outputs a threshold voltage to the first detection channel, and outputs a power supply voltage to the second detection channel. The first detection channel detects a first voltage characterization value of the first duration and a second voltage characterization value of the second duration, and outputs a first alarm signal when the first voltage characterization value is smaller than the second voltage characterization value. The second detection channel detects a third voltage characterization value of the first duration and a fourth voltage characterization value of the second duration, and outputs a second alarm signal when the fourth voltage characterization value is smaller than the third voltage characterization value.

The utility model provides an energy spectrum data reading circuit and an X-ray detector. The energy spectrum data reading circuit comprises an acquisition circuit, the acquisition circuit comprises a plurality of sub-channels, and each sub-channel is used for receiving a current pulse signal generated based on X-rays and generating a detection signal based on the current pulse signal; the trigger circuit is connected with the plurality of sub-channels and is used for responding to an over-threshold channel in the plurality of sub-channels, generating a global trigger signal and a channel gating signal and outputting the address of the over-threshold channel, and the over-threshold channel is the sub-channel of which the amplitude of the generated detection signal exceeds a preset threshold value; the multiplexer is connected with the plurality of sub-channels and the trigger circuit, and is used for selecting an over-threshold channel from the plurality of sub-channels according to a channel gating signal provided by the trigger circuit to output a detection signal; and the control circuit is connected with the trigger circuit of the acquisition circuit and the multiplexer, and is used for reading the detection signal output by the multiplexer and the address output by the trigger circuit in response to the global trigger signal from the trigger circuit.

A chess-like piece positioning and recognition system, including: an MCU, an RFID module, multi-channel analog switches, an electromagnet and communication signal switch unit, an electromagnetic drive unit, antennas, silicon steel blocks, and pieces. The MCU is used for communication with the RFID module, selecting channels of the multi-channel analog switches, and electromagnet and communication signal switch selection. The RFID module is used for reading information from the pieces. The multi-channel analog switches are used for group gating and intra-group channel gating of the RF channels. The electromagnet and communication signal switch unit is used for switching between the electromagnetic drive unit and the RF channels. The electromagnetic drive unit is used for driving an electromagnet. The antenna is used for sending and receiving signals from the pieces and also serves as the coil for the electromagnet. The silicon steel block is used as the core of the electromagnet, which generates a magnetic attraction to the pieces after being magnetized.

The invention belongs to the technical field of anesthesia depth regulation and control, and particularly relates to an anesthesia depth self-adaptive regulation and control method and system based on a dynamic time sequence model, and the system comprises a portable computer which is used for operating a program, receiving electroencephalogram time sequence data output by a signal collection device, receiving a pressing event of a handle, and obtaining efficacy information of an effect part; a channel gating result is generated based on the information and used for conducting category division on a drug administration adjustment request, gating is conducted through a shared code LSTM and a two-channel LSTM head and an effect room concentration vector and a hysteresis band, the problem of rhythm dislocation caused by exponential smoothing lag and induction-waking asymmetry is solved, mistaken up-regulation or mistaken down-regulation and overshoot are reduced, and the accuracy of drug administration adjustment is improved. And the adjustment convergence time is shortened, so that the anesthesia depth is more stably maintained in a target interval.

The invention belongs to the field of discrete device testing, and particularly discloses a discrete device testing system resource self-adaptive extension device and method. According to the application, the number of channel gating is set according to the tested device, so that the test system resource is matched with the circuit of the tested device; the gating state of the test channel and the resource switching sequence are judged by controlling the switching unit, and the switching unit is linked with the test system to automatically switch the channel, so that the time division multiplexing of the resources of the discrete device test system is realized; and then the test system resources are connected to the pins of the tested device in a customized manner through the resource expansion interface, so that the resource expansion of the discrete device test system can be realized. The method has a good application prospect under the problems of insufficient discrete device test system resources and low test efficiency. Experiments do not need to frequently replace testing system programs and clamps, and testing system resources are effectively expanded.

The invention discloses a voltage inspection system of a fuel cell or an electrolytic tank and a method thereof. The voltage inspection system comprises a plurality of acquisition modules, a high common mode differential operational amplifier module, a signal conditioning module, an MCU module and an isolation power supply module, each acquisition module comprises a module selection circuit and a multi-path check circuit and is used for acquiring data after channel gating; the input end of the high common mode differential operational amplifier module is electrically connected with the module output end of each acquisition module, and the high common mode differential operational amplifier module is used for subtracting the potentials on the gating lines at the two ends of the acquired channel to obtain a gating potential difference value; the input end of the signal conditioning module is electrically connected with the output end of the high common-mode differential operational amplifier module, and the signal conditioning module is used for conditioning the gating potential difference value transmitted by the high common-mode differential operational amplifier module to obtain conditioning data; the input end of the MCU module is electrically connected with the output end of the signal conditioning module, and the MCU module is used for collecting conditioning data of the signal conditioning module and transmitting the conditioning data to an upper computer through an isolated CAN communication network.

The invention provides a satellite integrated electronic differential analog signal acquisition system and method. The system comprises a differential input switch circuit, a differential signal analog-to-digital conversion circuit and a central processing unit. The differential input switch circuit is used for processing an analog signal output by satellite single-machine equipment under target channel gating and outputting the analog signal to the differential signal analog-to-digital conversion circuit; and the differential signal analog-to-digital conversion circuit is used for converting the analog signal into a corresponding digital signal and transmitting the digital signal to the central processing unit. According to the application, the single-ended analog signal and the differential analog signal can be acquired, the requirement of acquiring the high-precision analog signal is met, and the universality of the satellite integrated electronic analog quantity acquisition system is improved.

The invention discloses a double-flow fault diagnosis method based on state space modeling and dynamic edge context awareness, the method constructs a time domain state flow and a time frequency edge flow, and the specific implementation process is as follows: the time domain state flow is subjected to state space modeling under a Transform framework to form a MambaT encoder, long and short term dependence is efficiently captured with linear complexity, and the time domain state flow is subjected to dynamic edge context awareness; time domain sensitive features are accurately represented; the time-frequency edge stream converts vibration data into a two-dimensional time-frequency image through wavelet transformation, a differentiable edge sensitive mask is designed to adaptively separate time-frequency image impact characteristics and background noise, boundary content perception adaptive filling is designed to maintain image boundary topology integrity, and the two parts cooperate to form dynamic edge context perception convolution, so that the image boundary topology integrity is improved. Time-frequency edge features are effectively extracted; and a channel enhancement and channel gating module is designed to establish a dynamic channel interaction gating mechanism, so that time domain-time frequency domain double-current cascade characterization is realized, and the fault discrimination capability is remarkably improved. Experiments prove that the method has higher fault diagnosis performance.

The invention discloses a board card test system and a board card test method, and relates to the technical field of power electronics. In the board card test system, an upper computer is used for sending a corresponding target excitation signal to a to-be-tested signal board card based on an HIL equipment signal list document; sending a channel gating instruction to the fault injection board card based on the current test channel information of the to-be-tested signal board card; sending a test switching instruction to a signal test module based on a target to-be-tested signal type corresponding to the target excitation signal; the to-be-tested signal board card is used for outputting a corresponding target response signal in response to the target excitation signal; the fault injection board card is used for conducting a target channel in response to the channel gating instruction; the signal test module is used for accessing a target test instrument corresponding to the target to-be-tested signal type in response to the test switching instruction; and transmitting a test result of the target response signal to the upper computer. According to the embodiment of the invention, the automatic excitation test of the HIL board card can be more efficiently and accurately realized.

The application relates to the technical field of communication, in particular to a USB-A interface and serial port dynamic switching and protection system based on an analog switch. The system comprises a master control unit, an analog switch unit, a hierarchical protection unit, a protocol adaptation unit and a state detection unit. The master control unit is used for overall planning of dynamic switching and conflict coordination of the USB-A interface and the serial port, generates conflict-free channel switching control instructions by integrating a dynamic priority scheduling algorithm, combining USB data transmission real-time load, serial communication request urgency and device historical interaction records fed back by the state detection unit, and drives the analog switch unit to complete channel gating. The application relies on the master control unit, carries out priority scheduling in combination with multi-dimensional parameters such as transmission load of the USB-A interface and communication urgency of the serial port UART, can flexibly switch the communication channels of the USB-A interface and the serial port, enhances the flexibility and adaptability of interface switching, and solves the switching limitation problem caused by a single triggering condition.

The invention belongs to the technical field of equipment control, and relates to a wormwood essential oil extraction equipment control method and system. According to the method, the distillation state is comprehensively sensed by collecting the temperatures of multiple positions in a kettle, the heating steam pressure, the liquid phase temperature of an outlet of a condenser and an acoustic emission signal in the distillation process in real time; then inputting the signal into a two-channel gating circulation network model which is dynamically modulated by track entropy and can be fused with a physical model to carry out Bayesian correction under a stable working condition, so as to accurately measure and obtain a soft measurement value of the oil yield of the wormwood essential oil; then, based on the oil yield deviation, a multi-objective optimization function containing the square of the deviation, the control quantity change rate, the thermal shock gradient and the boiling instability risk at the same time is solved, and a control sequence is obtained; and finally, decoupling the control sequence, and determining and executing an accurate distribution strategy for the pressure and flow of the heating steam. On the premise of ensuring stability and safety, the extraction efficiency of the wormwood essential oil is maximized.

The invention belongs to the technical field of biological feature recognition, and discloses an automatic recognition and automatic switching system based on a multifunctional USB peripheral interface, which comprises a function module, a state detection module, a USB signal switching module and a main control module, the function module is used for accessing an external device and feeding back a voltage signal to the main control module and the state detection module; the state detection module is used for judging whether external equipment is accessed or not and judging the type of the accessed external equipment; the USB signal switching module is used for opening an internet access channel or a PC / OTG channel; the beneficial effects of the invention are as follows: 1, hardware-level channel gating is realized, software intervention is not needed, and rapid switching is realized; 2, a special detection chip is not needed, and the cost is reduced; and 3, the interface resource utilization rate is improved, and the system redundancy is reduced. And 4, three scenes of the internet access, the PC and the OTG are automatically identified, user configuration is not needed, and the compatibility is good.

The invention discloses a hardware acceleration deployment method of an ultrasonic full-focus algorithm on an FPGA (Field Programmable Gate Array) platform, and relates to the technical field of deployment of an acoustic imaging algorithm on the FPGA platform, a master-slave structure taking the FPGA platform as a master controller is adopted, and a plurality of FPGA slaves are controlled to collect and calculate parameters in parallel through channel gating; a full-focus parameter calculation process is modularly divided, the calculation throughput rate is improved through a pipeline method, and calculation results of the multiple FPGA slaves are transmitted to the FPGA host for imaging; furthermore, a mirror image full-focus calculation method is adopted, parameter multiplexing is achieved through a recombination calculation process, and the parameter calculation time is shortened by half. The problems that an ultrasonic full-focusing imaging algorithm is complex in calculation, long in time consumption and difficult to deploy in a lower computer platform can be solved, development of a low-cost and light-weight ultrasonic phased array full-focusing online detection instrument is facilitated, and the method has important significance on maintenance and health monitoring of a pressure container.

The invention relates to a small target detection method and system based on adaptive texture perception and frequency domain-cross-layer collaborative optimization, and the method comprises the steps: providing a cross-scale texture guide module, independently capturing the spatial distribution characteristics of heterogeneous features through a multi-scale texture extraction unit, and constructing scene-level texture prior through an additive fusion mechanism; a frequency domain detail enhancement module is provided, features are mapped to a complex frequency spectrum space through real number fast Fourier transform, dynamic reweighting is carried out on medium-high frequency components by using an adaptive weight vector, and target contour information is explicitly enhanced in combination with inverse transform and a residual connection mechanism; a cross-layer feature stabilization module is designed, context clues of different granularities are captured through lightweight multi-scale receptive field extension, and a dynamic channel gating modulation mechanism is introduced to perform active intervention on a feature evolution path. Compared with the prior art, the method has the advantages of characteristic enhancement, stable positioning, balanced detection precision and operation efficiency and the like.

The application discloses a smart design method of a membrane protein MenA and application thereof, and first, the typical UbiA family topological structure of MenA with nine transmembrane helices is confirmed through DeepTMHMM and TOPCONS cross verification; second, the dual-channel function architecture of the polar catalytic channel and the hydrophobic prenyl substrate channel of MenA is first revealed by CAVER channel analysis; third, the channel gating site that can be transformed is accurately positioned in combination with EVcouplings coevolution analysis and ConSurf conservation evaluation; then, two mutants Y113F and V89I that significantly enhance the thermodynamic stability of the protein are screened out through FoldX stability calculation; finally, GNINA molecular docking verification reveals that the distance between the TYR113 residue in the wild type MenA and the FPP substrate is 7.2 Å, and the distance between DHNA and the catalytic residue ASP78 is 4.4 Å. The application provides a systematic AI-driven methodological framework for membrane protein channel engineering, and provides a molecular engineering strategy with a clear structural basis for the industrial high yield of MK-7.

The invention discloses a dual-band broadband direction finding system and method based on antenna group gating. The dual-band broadband direction finding system comprises an antenna array, a signal conversion unit, a channel gating unit, a digital processing unit and a control and interaction unit, the antenna array is used for integrally covering the first antenna group and the second antenna group based on unified geometric framework arrangement, and realizing unified output of cross-band direction finding results; the signal conversion unit is used for converting a radio frequency signal into a signal which can be processed by the digital processing unit; the channel gating unit is used for realizing configurable connection between the first antenna group or the second antenna group and a receiving channel of the digital processing unit; the digital processing unit is used for completing signal sampling, feature extraction and direction estimation operation and outputting a direction finding result; and the control and interaction unit is used for outputting parameters and results. According to the invention, the high-frequency direction-finding antenna group and the low-frequency direction-finding antenna group are respectively constructed under a unified hexagonal geometric framework, so that the system gives consideration to omnidirectional coverage, direction-finding sensitivity and engineering implementation feasibility under the condition of a wide frequency band.

The embodiment of the application provides a kind of multi-channel data acquisition method and system, comprising: receiving the multi-channel digital signal after analog-digital conversion unit conversion;Wherein, multi-channel digital signal is to the analog signal input according to the preset strobe mode Channel selection, after the analog signal selected is converted into corresponding digital signal by analog-digital conversion unit, it is obtained;Interpolation filter is used to carry out interpolation filter processing to multi-channel digital signal, and the digital signal after multi-channel synchronization is obtained;Wherein, the interpolation filter is constructed according to the number of input channel and the number of channel sampling data points, and the number of channel sampling data points is the number of data points collected by analog-digital conversion unit for each switching of channel.The application can solve the problem of different synchronization of multi-channel data acquisition based on multiplexing structure.

The utility model discloses an integrated laser drive circuit for an OTDR optical module and the optical module. The integrated laser drive circuit comprises a laser chip, a laser drive chip, a pulse generation circuit and a microcontroller. The laser driving chip comprises n paths of high-speed communication driving channels and n paths of OTDR driving channels which are correspondingly connected with the n paths of lasers in the laser chip respectively so as to realize time division multiplexing of the n paths of lasers. And the microcontroller controls the laser driving chip to gate and switch between the high-speed communication driving channel and the OTDR driving channel through a register arranged in the laser driving chip, and controls the pulse generation circuit to transmit a pulse signal for OTDR testing to the laser driving chip. According to the optical module, a high-speed switching chip does not need to be used, switching between a high-speed communication function and a network diagnosis function is achieved through cooperation of the microcontroller and the built-in register of the laser driving chip, the circuit integration degree is high, and miniaturization packaging of the optical module is facilitated.

The present invention provides a piece positioning and identification system, comprising: an MCU, an RFID module, a multi-channel analog switch, a magnetic signal switching unit, an electromagnetic driving unit, antennas, silicon steel blocks, and pieces. The MCU is used for communicating with the RFID module, selecting a channel of the multi-channel analog switch, and selecting magnetic signal switching. The RFID module is used for reading piece information. The multi-channel analog switch is used for group gating and intra-group channel gating of radio frequency channels. The magnetic signal switching unit is used for switching between the electromagnetic driving unit and the radio frequency channels. The electromagnetic driving unit is used for driving electromagnets. The antennas are used for sending and receiving signals of the pieces and also used in coils of the electromagnets. The silicon steel blocks are used in magnetic cores of the electromagnets, and generate attraction force on the pieces after magnetization. According to the present invention, positions of the pieces can be effectively positioned and identified, and the pieces can be fixed, so that the pieces cannot drift on a board due to vibration or inclination.

The invention belongs to the technical field of radar radiation source identification. The invention provides a radar radiation source identification method based on relation perception and prototype optimization. According to the embodiment of the invention, through channel gating and a soft attention mechanism, invalid frequency band features are automatically inhibited, and the weight of a bad sample which deviates from the center is reduced. And a GCN is introduced to construct a sparse prototype graph, so that the model can perceive a similarity relationship between categories, and local consistency is enhanced through a graph propagation mechanism. And in cooperation with prototype comparison loss, centers of similar categories are forcibly pushed away, so that a clearer isolation strip is formed at a decision boundary, and the false identification rate is remarkably reduced. A residual mean fusion structure is also designed. When an attention mechanism may fail due to extremely small sample size, a mean value prototype on a residual path can play a role in guaranteeing the bottom, so that the stability of model training is ensured; and when the sample size is slightly large, the attention mechanism can provide finer feature expression, so that the universality of the model under different small sample settings is realized.

The application discloses a crop nitrogen content detector and relates to the technical field of spectrum analysis. A reference signal conditioning circuit in the detector provides a reference signal for a phase-locked demodulation circuit, a multi-channel gating circuit sequentially guides constant-current drive signals to a plurality of LEDs according to interval time set by a microcontroller, and drives the plurality of LEDs to alternately emit AC light signals carrying DC signals to a leaf surface; a photoelectric processing circuit sequentially receives reflected light signals of different wave bands from the leaf surface, filters the DC signals in the reflected light signals, and transmits the retained reflected AC signals to the phase-locked demodulation circuit; the phase-locked demodulation circuit demodulates the retained reflected AC signals of different wave bands according to the reference signal, and outputs DC signals that are linearly proportional to the amplitude of the AC light signals in the active light signals; and the microcontroller obtains the spectral reflectivity of the leaf surface to each wave band according to the DC signals of different wave bands. The application can greatly improve the efficiency of measuring the nitrogen content of crops.

The present application discloses a device for measuring variable temperature long afterglow characteristics, which adopts an electromechanical solution to realize single-path gating of the excitation light path and the detection light path, and solves the problem of signal tailing caused by strong scattered light before power failure and signal fluctuation caused by power failure when the power-on and power-off mode is adopted. The measuring device includes an excitation light source, a variable temperature component, a detection component and an adjustment component; the variable temperature component is located below the adjustment component, and the excitation light source and the detection component are both located above the adjustment component; the adjustment component includes a turntable, a driving source and a plurality of lenses, the turntable is located above the lens, and a plurality of turntable through holes used in conjunction with the lenses are provided on the turntable surface, and the driving source is connected to the turntable; the excitation light source and the detection component are respectively connected to different lens optical paths in the adjustment component; in the adjustment component, the driving source drives the turntable to rotate to adjust the relative position of the turntable through hole and the lens, so that the lens is in a light-transmitting state or a light-blocking state.

The invention discloses an acupoint positioning method and system based on image enhancement, and belongs to the technical field of image processing, and the method comprises the steps of human body acupoint image collection, human body acupoint image enhancement, acupoint recognition model construction and acupoint positioning. According to the scheme, through parameter optimization of the gamma value and the fractional order, according to the difference between the oscillation coefficient and the individual position, random disturbance is introduced for updating, the parameter combination is continuously optimized in combination with the evolution rate, and gamma transformation and fractional order enhancement are performed by using the optimal parameter combination, so that the image quality is improved; the activation and recombination unit performs intelligent screening on features through channel gating activation and then performs splitting and recombination on a feature map to obtain a composite feature map, and the bitype convolution optimization unit obtains a core convolution feature map and a detail convolution feature map by splitting the composite feature map and combining group convolution with point-by-point convolution. And weighting is carried out through global average pooling and a soft attention mechanism, so that the accuracy and the stability of acupoint recognition are remarkably improved.

The invention provides a multi-module radio frequency index test system and method, and relates to the technical field of module testing, and the system comprises an environment test box which is internally provided with a plurality of modules; a module power supply; the multi-channel gating device is connected with each module and is used for controlling the on-off of the radio frequency channel corresponding to each module; the programmable power supply is connected with the multi-channel gating device and provides test power for each radio frequency channel through the multi-channel gating device; the analysis equipment is connected with the multi-channel gating device and is used for analyzing the radio frequency signal output by the module and obtained by the multi-channel gating device; the upper computer is used for controlling and analyzing the working states of the equipment, the multiplexer, the programmable power supply and the module power supply; the upper computer runs upper computer software, the multi-channel gating device receives an upper computer instruction to control the programmable power supply to supply power to the radio frequency channel of the target module and outputs a radio frequency signal to the signal analyzer to generate a test result, and the problems that an existing multi-module test system is disordered in wiring and complex in structure and affects test efficiency and accuracy are solved.

The invention provides a cross-border fund flow risk assessment method which can be applied to the technical field of artificial intelligence. The method comprises the following steps: acquiring a standardized event stream; for the standardized events in the time window, constructing an incremental graph structure used for representing fund link flow characteristics; in the incremental graph structure, node fission strength is calculated for an initial edge in the current time window, a node with the node fission strength exceeding a first preset threshold value serves as a fission starting point to execute three-hop breadth-first search, and a search result is obtained; performing dual-channel gating convolution processing on the transaction sequence and the regional feature sequence represented by the candidate sub-graph determined based on the target path to obtain a sub-graph embedded vector; and splicing the sub-graph embedding vector with the predicted merging residual duration, the node fission strength and the cross-regional hop count into a state vector, inputting the state vector into a game reinforcement learning model to output the freezing probability of a candidate sub-graph, and determining a risk assessment result of the standardized event according to the freezing probability.