48 results about "Time multiplexing" patented technology

The invention discloses a national cryptographic algorithm acceleration system supporting SM4-ZUC dual-core dynamic collaboration, and belongs to the technical field of information security and hardware acceleration. The system comprises an AXI read-write module, a configuration register module, an SM4 algorithm module and a ZUC algorithm module. The configuration register receives and distributes information such as a secret key, an initial vector and a mode through an APB interface; the AXI read-write module supports burst transmission and dynamic scheduling data read-write; the SM4 algorithm module supports three modes of GCM, CTR and ECB; and the ZUC algorithm module is compatible with ZUC-128 / 256. And the corresponding ZUC-128 / 256 and SM4 algorithms can be dynamically selected for operation by judging an encryption mode in the ZUC and SM4 algorithms. The system adopts a three-level assembly line architecture, space-time multiplexing of read-write data and encryption is realized, and throughput rate is improved.

The invention provides a brain electrical stimulation control method and device, a medium and computer equipment, and the method comprises the steps: setting an electrical stimulation period time signal through a local control module, and dividing the electrical stimulation period time signal into a stimulation stage, a window stage and a recovery stage with continuous time periods; in the stimulation stage, an electrical stimulation signal with preset parameters is output through the time-multiplexed electrode slice; in the empty window stage, disconnection or hardware protection is carried out on the electrode slices to shield crosstalk of stimulation signals to an electroencephalogram acquisition channel; in the recovery stage, electroencephalogram signals are collected and subjected to suppression algorithm processing to eliminate residual artifacts, and in the recovery stage, the collected electroencephalogram signals are subjected to suppression algorithm processing to eliminate residual low-frequency artifacts of electrode capacitance. The problems of hardware redundancy and artifact interference of an existing electrical stimulation system are effectively solved, and accuracy and safety are improved.

The present disclosure relates to a system and a method of performing Gaussian boson sampling via time multiplexing correlation of squeezed vacuum states for quantum information experiments. One embodiment relates to a method for performing Gaussian boson sampling comprising the steps of—generating a set of pulsed pairs of squeezed vacuum states,—performing time 2024 / 038212 multiplexed correlation of multiple of such pairs of squeezed vacuum states,—measuring, via a homodyne detection, a state from the pairs of generated squeezed vacuum states,—feed-forwarding the homodyne result of the measured states to a displacement unit,—performing displacement operations on the remaining state from the pairs of generated squeezed vacuum states, and—counting the states output from the displacement unit.

The embodiment of the invention provides a magnetic resonance imaging method and related equipment. The magnetic resonance imaging method comprises the following steps: applying a multi-spin echo sequence in each magnetization reset period, and collecting a group of multi-spin echo data sets until M groups of multi-spin echo data sets are obtained; after each magnetization reset period, a T1rho preparation pulse with spin locking duration is applied, then a multi-gradient echo sequence is applied, a group of multi-gradient echo data sets are collected until M groups of multi-gradient echo data sets are obtained, and the M groups of multi-spin echo data sets and the M groups of multi-gradient echo data sets correspond to M different spin locking durations respectively; and performing fitting operation on the M groups of multi-spin echo data sets and the M groups of multi-gradient echo data sets to generate a quantitative atlas. According to the technical scheme, the problems that a traditional T1rho sequence is long in scanning time, low in signal-to-noise ratio and single in contrast ratio are effectively solved, and the technical effects of time multiplexing and multi-contrast imaging are achieved.

The invention relates to a frame extraction method and system for a streaming media monitoring video, and the method comprises the steps: a streaming media server receives a frame extraction request sent by a third-party platform, obtains and analyzes a monitoring video stream according to the frame extraction request, carries out the frame extraction of the monitoring video stream according to the frame extraction parameter of the frame extraction request, and carries out the frame extraction of the monitoring video stream; and storing the obtained target binary video frame data to a data cache queue so as to consume and obtain the target binary video frame data from the data cache queue, and performing compression decoding on the target binary video frame data according to an output format of a third-party platform, and returning the compressed and decoded target binary video frame data to the third-party platform. Therefore, the frame extraction logic is embedded in the streaming media server, one-time analysis and multi-time multiplexing are achieved, resource loss is reduced, the resource utilization rate is increased, the response time is shortened by using the data cache queue, and the stability and expandability of the system are maintained.

The application discloses a single-beam imaging device and method, and belongs to the technical field of microscopic imaging. The application adopts a single beam, utilizes the principle of time multiplexing continuous wave beam wavefront and fluorophore time suppression process, carries out time modulation between short time and long time, carries out wavefront modulation between excitation and suppression to realize imaging, simplifies the structure of the imaging device, and improves imaging super-resolution.

The invention discloses a unilateral matrix converter system for PMSM (permanent magnet synchronous motor) driving application. The unilateral matrix converter system comprises a three-phase input end, a unilateral matrix conversion module, a control module and an output end, the matrix transformation module is composed of a plurality of one-way IGBT power switches, switching is carried out between input phases through a time multiplexing strategy, and direct alternating current to alternating current energy transmission without an intermediate direct current link is achieved. The system adopts a most positive and negative phase selection algorithm and a V / f control strategy, and the output voltage and frequency are adjustable. Compared with a traditional AC-DC-AC system, the AC-DC-AC system does not need a high-capacity capacitor, is simple in structure and low in control complexity, has the energy conversion efficiency as high as 85-90%, has high reliability, light weight and modular expansion capability, and is suitable for aerospace and high-performance motor driving application.

A kind of multi-path serial exchange FFT IP core based on time multiplexing constant multiplier belongs to digital signal processing technical field, solve existing time multiplexing constant multiplier when adapting MSC architecture FFT, there is the problem of collaborative conflict with serial exchange data scheduling, hardware resource redundancy, poor point number expansibility, timing and signal quality imbalance and lack of supporting efficient data permutation scheme, including multi-path serial exchange FFT architecture, the architecture includes: memory-based permutation module, a plurality of general rotator and at least two base modules, wherein k is positive integer;The rotator in the base module is optimized using time multiplexing constant multiplier, and the time multiplexing constant multiplier is used to implement the multiplication operation of fixed constant and variable input;The IP core supports the FFT calculation of point number 2 power exponent.This application is suitable for digital signal processing scene.

Transmitters, receivers, systems and methods for compensating for polarization drift caused by a communications channel are provided. One or more polarization reference signal(s) or sets of polarization reference signals may be transmitted in combination with a polarized communications signal. The combination may be via wavelength or time multiplexing. Polarization measurements of the one or more polarization reference signals or sets of polarization reference signals and subsequent heterodyne detections thereof may be used for compensation of the polarization drift of the combined signals which are received. The polarization compensation may be for a State of Polarization (SOP) of a polarized communications signal such as any one polarization basis. The polarization compensation may be for complete polarization channel compensation such as for three different polarization basis which are mutually unbiased.

The application provides an optical quantum computing system, an optical quantum chip and an optical quantum computer, and relates to the technical field of quantum computing. The system comprises a plurality of optical waveguides, a plurality of spatial processing modules and a plurality of temporal processing modules are arranged on the plurality of optical waveguides, wherein: the spatial processing module is used for performing quantum state transformation on input optical quantum information to realize spatial parallel processing; the temporal processing module is used for performing time adjustment processing on the input optical quantum information to realize time multiplexing; the spatial processing modules and the temporal processing modules are alternately arranged between the spatial processing modules and the temporal processing modules, and the adjacent spatial processing modules and the temporal processing modules are connected through the plurality of optical waveguides. The embodiment of the application can realize the dual effective expansion of the scale and the depth of quantum computing.

The invention discloses an intelligent material transportation control system of a smart factory, and relates to the technical field of factory material transportation, the intelligent material transportation control system comprises an acquisition assembly, a processing assembly, an analysis assembly and a control assembly, the analysis assembly comprises a priority unit, a path adjustment unit and a comprehensive adjustment unit, and the control component performs task scheduling execution, path tracking and dynamic adjustment and speed real-time adjustment based on the data input by the analysis component. The priority unit evaluates the task priority in combination with dominant indexes and implicit quality influences, the path adjustment unit introduces a path space-time multiplexing coefficient to optimize multi-task path resource multiplexing, the speed adjustment unit is associated with a component fatigue accumulation dynamic adjustment speed, the three units cooperate to form a closed loop, intelligent decision making of the material transportation system is achieved, and the efficiency of the system is improved. Efficiency, production quality and equipment health are guaranteed, and requirements of smart factories are met.

The application discloses a kind of laser additive manufacturing in-situ solution and grading aging method, belong to metal additive manufacturing and heat treatment technical field.The application constructs main and vice laser time multiplexing dual optical path processing system, and three core procedures of laser additive manufacturing formation, in-situ solution, grading aging are integrated in the same equipment cavity and are continuously completed;Through the scanning of vice laser after layer forming, infrared temperature measurement, PID temperature control, the solution treatment of the formed region is completed synchronously, and then the two-stage in-situ heat treatment of homogenization spot pre-aging and Gaussian spot high-peak aging is completed in sequence.The application relieves the pain points of long offline heat treatment process flow, easy deformation of component, grain easy coarsening and significant performance anisotropy of traditional additive manufacturing, realizes the precise control of microstructure of metal component throughout the process and the synergistic improvement of high plasticity, greatly shortens the production cycle and reduces the manufacturing cost, and can be widely applied to the preparation of metal components in the fields of aerospace, automobile and rail transit.

The application discloses a kind of real-time systems of cross water surface multi-channel visible light communication based on FPGA, using FPGA as real-time signal processing unit, while processing signal transmission and reception.Integrating low-density parity-check (LDPC) codes from 5G new radio, the system significantly improves its detection capability for dynamic W2A-OWC scenarios.The system also optimizes the use of FPGA resources through time multiplexing of the IP core of the LDPC decoder.The system not only supports single-color light transmission, but also supports multi-color light transmission, covering LEDs of different wavelengths to meet various service needs and adapt to complex environments.Using a light source array as the transmitting end and a detector array as the receiving end, a multi-channel transmission and reception module is realized, which can improve the rate of the communication system, promote the simultaneous transmission of multiple data streams and improve the overall throughput.

Disclosed herein a method for transforming a single processor system into an effective multicore system with few modifications to the existing processor. The transformation is achieved by wrapping the processor with a CPU Manager module, which intercepts all CPU transactions, remaps addresses, manages interrupt lines, and controls the CPU clock using clock gating. The transformation to n effective multicore system brings about reduced area and power impacts compared to a full duplication of the whole system, while still reusing the existing program in a multicore environment.

The invention provides a reservoir calculation method based on rare earth doped nanocrystals. The reservoir calculation method comprises the following steps: acquiring an original digital image and converting the original digital image into a binary vector set; modulating the binary vector set into a pulse sequence set through time multiplexing coding; inputting the pulse sequence into a reservoir formed by three layers of core-shell-shell structure rare earth doped nanocrystals, and generating a corresponding luminescence response curve set through nonlinear dynamic interaction of the three layers of core-shell-shell structure rare earth doped nanocrystals; extracting features based on the curve set to form a reservoir state vector set; and finally, training and classifying the state vector set through a linear layer to obtain an image classification result. According to the reservoir calculation method based on the rare earth doped nanocrystals, through the synergistic effect of the physical characteristics of the rare earth doped nanocrystals and time multiplexing coding, a single reservoir replaces a traditional complex electronic network, coding, calculation and feature extraction are completed in an optical domain, the algorithm complexity and the training cost are remarkably reduced, and the calculation efficiency is improved. And efficient image classification is realized.

A system having a platform upon which several phased antenna arrays are mounted and which can communicate with satellites. The system includes a switch that can connect any of the phased array antennas to any of available modems. The system further includes a router that can connect any of the modems to any available computing devices. Based on parameters such as data rates, signal strength, and account information, one or more communication paths are selected for a computing device requesting to communicate with a satellite. Each communication path is established by operating the switch to connect a selected antenna to a selected modem, and operating the router to transfer data between the computing device and the selected modem.

The utility model discloses an isolation type high-frequency DC / DC converter, which comprises an upper half-bridge resonant converter, a lower half-bridge resonant converter, a first isolation transformer T1, a second isolation transformer T2 and a rectifying circuit, and is characterized in that the upper half-bridge resonant converter and the lower half-bridge resonant converter adopt a heterogeneous design; and only one of the first thyristor K1 and the second thyristor K2 is switched on at any moment t, so that the time division multiplexing control of the upper half-bridge resonant converter and the lower half-bridge resonant converter is realized, and the voltage gain range and the operation efficiency of the converter are improved.

The application discloses a real-time multi-target detection system and method based on deep learning, and relates to the technical field of deep learning.The application utilizes interframe correlation multiplexing of overlapping area features through a space-time multiplexing module, thereby reducing redundant calculation; a feature enhancement module differentiates processing of dynamic and overlapping stable area features, strengthens basic dynamic features of a motion area, simplifies basic static features of an overlapping stable area, and performs weighted fusion on transition area features; and a window generation module dynamically adjusts detection window parameters based on target density.The application solves the problem that real-time performance and detection accuracy are difficult to be considered in the prior art, and improves processing efficiency and detection accuracy.

The invention provides a state offset identification method and system based on low-dimensional discrete perception, and the method comprises the steps: employing an MEMS wave band selection unit to switch between preset discrete wave bands, obtaining the near-infrared response features of a target object through multiband time multiplexing sampling, and constructing a low-dimensional discrete feature vector independent of an absolute value. Through individualized baseline modeling, the system learns feature distribution of daily equipment of a user, compares current state features with an individualized baseline model constructed in a normal state, and outputs a hierarchical or stateful health suitability conclusion. The system has a self-adaptive compensation mechanism, and can absorb the influence of device drift and environmental change. According to the invention, the problems of high cost, complex calculation and lack of individualized evaluation ability in the prior art are solved; state deviation recognition detection of daily equipment is achieved, and the method can be widely applied to liquid detection, equipment monitoring, environment evaluation and other scenes.

The application discloses a metasurface holographic optimization method based on a limited super atom response library selection, belongs to the metasurface holographic field, and has the steps that a three-dimensional logarithmic probability matrix P (an element represents the logarithmic probability of a structure in a response library selected by a super atom at a grid position) is randomly initialized; a Gumbel-Softmax sampling strategy is used to generate a discrete selection matrix, an index corresponding complex amplitude response is constructed, and a complex amplitude distribution matrix of the whole metasurface is constructed; then, a differentiable wave front propagation algorithm is used to calculate a target complex amplitude distribution; multi-polarization multiplexing is supported, image superposition is realized through time multiplexing; a structural similarity constraint is introduced; a total loss value gradient relative to the probability matrix is calculated; the probability matrix is updated through a stochastic gradient descent; and finally, iteration is performed until convergence, so that a selection matrix and a directly manufacturable metasurface structure layout are obtained. The application can realize high-precision and high-efficiency polarization multiplexing metasurface holographic design.

The application provides a flyback converter and a control method thereof. The flyback converter is provided with a first sampling unit and a second sampling unit to sample inductance current and resonance current of the flyback converter during the turn-on of a first switch tube and a second switch tube respectively, and a control circuit is arranged to receive sampling signals output by the first sampling unit and the second sampling unit through the same sampling pin, and then realize corresponding current control functions according to the received sampling signals. The different types of current sampling operations are performed by using the same pin time multiplexing mode, which ensures the diversity of the functions of the flyback converter, reduces the required pin number, is beneficial to simplifying the system structure and reducing the system cost.

The invention is suitable for the technical field of network bandwidth, and provides a network bandwidth space-time multiplexing method and system combined with flow prediction, and the method comprises the following steps: collecting historical flow data of a television broadcasting system, including time dimension data, space dimension data and program feature data, and carrying out the cleaning and feature engineering processing of the historical flow data; constructing a traffic prediction model based on the historical traffic data; designing a dynamic bandwidth allocation strategy according to a prediction demand result, wherein the dynamic bandwidth allocation strategy comprises time multiplexing and spatial multiplexing; the time multiplexing realizes dynamic adjustment of bandwidth allocation according to prediction requirements in different time periods, and the spatial multiplexing realizes dynamic allocation of bandwidth resources according to the prediction requirements among different geographic areas; and carrying out real-time monitoring, continuously collecting actual flow data and comparing the actual flow data with a prediction result, and dynamically adjusting a bandwidth allocation strategy based on feedback information. According to the method, traffic prediction and space-time multiplexing are closely combined, the bandwidth is adjusted in advance through prediction, and the bandwidth utilization rate and the user experience are improved.

The invention discloses an electrical stimulation system and a control method. The system comprises an electrode assembly, an impedance detection module, an electroencephalogram acquisition module, a local control module and an electrical stimulation output module. In the electrode assembly, the stimulating electrode and the electroencephalogram collecting electrode share the same electrode plate through time multiplexing; the impedance detection module selects a detection channel to input a test excitation signal, and synchronously acquires a response signal to estimate the electrode contact impedance; the local control module calculates a maximum safety current and a clamping target current based on the impedance parameter to obtain an actual execution current; the electroencephalogram acquisition module acquires electroencephalogram signals, and the local control module extracts electroencephalogram characteristics to adjust stimulation parameters; and the electrical stimulation output module outputs a stimulation signal. The system solves the problem that fixed parameters cannot adapt to individual impedance difference and dynamic fluctuation, avoids potential safety hazards such as overcurrent and overvoltage, ensures that the current density is safe and effective, and remarkably improves repeatability and consistency of the stimulation effect.

The application is suitable for the technical field of network bandwidth, and provides a network bandwidth space-time multiplexing method and system combined with traffic prediction, comprising the following steps: collecting historical traffic data of a television broadcast system, including time dimension data, space dimension data and program feature data, and performing cleaning and feature engineering processing on the historical traffic data; constructing a traffic prediction model based on the historical traffic data; designing a dynamic bandwidth allocation strategy according to a prediction demand result, including time multiplexing and space multiplexing; the time multiplexing is realized by dynamically adjusting bandwidth allocation according to the prediction demand in different time periods, and the space multiplexing is realized by dynamically adjusting bandwidth resources according to the prediction demand between different geographical regions; real-time monitoring is performed, actual traffic data is continuously collected and compared with the prediction result, and the bandwidth allocation strategy is dynamically adjusted based on feedback information. The application closely combines traffic prediction with space-time multiplexing, adjusts bandwidth in advance through prediction, and improves bandwidth utilization and user experience.

The present application relates to a reinforcement learning oriented elastic computing system for orchestrating and executing reinforcement learning workflows on a cluster of heterogeneous computing devices. The system comprises multiple work units, each encapsulating a reinforcement learning component, supporting resource on-demand offloading and providing communication primitive interfaces; a workflow executor receiving a macro logic flow describing data interaction among work units defined in imperative programming; a scheduler converting the macro logic flow into micro execution flow, including dynamic granularity distribution through elastic pipeline mechanism in spatial dimension and resource time multiplexing of work units through a context switching mechanism in temporal dimension; an adaptive communication layer perceiving physical placement information of work units, managing connection life cycle and automatically selecting communication backends. The system realizes efficient orchestration and execution of highly heterogeneous reinforcement learning workflows, significantly improving resource utilization and system execution efficiency.

The invention provides a light quantum computing system, a light quantum chip and a light quantum computer, and relates to the technical field of quantum computing. The system comprises a plurality of optical waveguides, a plurality of space processing modules and a plurality of time processing modules are arranged on the plurality of optical waveguides, and the space processing modules are used for performing quantum state transformation on input light quantum information so as to realize space parallel processing; the time processing module is used for carrying out time adjustment processing on the input light quantum information so as to realize time multiplexing; the space processing modules and the time processing modules are alternately arranged, and the adjacent space processing modules and time processing modules are connected through a plurality of optical waveguides. According to the embodiment of the invention, dual effective expansion of quantum calculation scale and calculation depth can be realized.

An apparatus includes a pixel shifter to receive light representative of pixels and to modify a first angle of the light to one of a plurality of predetermined second angles based on a control signal. The apparatus also includes a controller to provide the control signal to the pixel shifter. The control signal indicates different ones of the plurality of predetermined second angles in different time intervals corresponding to subframes of an image frame produced by the plurality of pixels. In some cases, the apparatus also includes a waveguide to receive the light from the pixel shifter and to convey the light to a diffractive optical structure that renders the light visible to a user. The pixel shifter can modify the first angle to increase a resolution of some or all the image perceived by the user or to mitigate or eliminate local defects in the display.

The application discloses a quality-of-service oriented GPU space-time adaptive resource scheduling method and system, belongs to the field of heterogeneous resource scheduling and management under deep learning inference, and comprises the following steps: determining a minimum SM subset satisfying a quality-of-service constraint and corresponding SM mask configuration in an offline stage; collecting multi-task co-location operation data offline, and constructing an interference-aware delay prediction model by using the multi-task co-location operation data; in an online scheduling stage, when a new task arrives, it is judged whether the GPU is in an idle state according to a current GPU load state; the constructed interference-aware delay prediction model is used for prediction, and it is judged whether the predicted inference delay and the predicted delay both satisfy preset quality-of-service constraints; a time multiplexing strategy is adopted to schedule and execute tasks by intercepting a kernel-level command buffer, and it is ensured that only one task occupies all resources of the GPU at the same time. The application can improve system throughput and guarantee the quality of service of delay-sensitive tasks.

The utility model relates to intelligent lifting table technical field especially based on speech recognition's intelligent lifting table, innovatively with speech recognition, environmental regulation and lifting function through customization hardware architecture and hierarchical control algorithm depth fusion. Its technical core includes: time multiplexing communication bus management multimode instruction, strain gauge type dynamic load monitoring and heat-mechanical-electric integrated structure design, significantly improved the function density and reliability of intelligent furniture, applicable to high -end office, medical treatment and education scene.