984 results about "Time-division multiplexing" patented technology

The invention relates to the technical field of unmanned aerial vehicle communication, and discloses a dynamic spectrum frequency hopping communication method and device for a target aircraft and a ground station, and the method comprises the steps: collecting state information; evaluating a signal quality indicator based on the power data; based on the total spectral range and the signal quality index, segmenting the total spectral range into N sub-bands to obtain a spectrum allocation result; based on the task priority and the communication quality index, carrying out main target machine election; each target machine sends an orthogonal detection sequence in a corresponding time slot to obtain channel state information; converting the channel state information into a frequency hopping key; generating a frequency hopping sequence based on the frequency hopping key; according to the invention, an adaptive frequency hopping technology based on a channel state is adopted, the channel quality is monitored in real time, and a dynamic frequency hopping sequence is generated, so that an interference frequency band is effectively avoided; through a time division multiplexing channel detection mechanism, signal overlapping is fundamentally avoided, and continuous and stable operation in a complex dynamic environment is ensured.

Methods and systems are disclosed for resource management on Sidelink for vehicle to everything (V2X) scenarios. Example methods and systems for a Resource Structure on Sidelink are disclosed. Control and data channels may be Frequency Division Multiplexed (FDMed) or Time Division Multiplexed (TDMed) with an Orthogonal Frequency Division Multiplexing (OFDM) waveform. Example methods and systems for a Resource Configuration on Sidelink are disclosed. The resource configuration may be statically configured or may be locally configured. Example methods and systems for Assisted Resource Allocation are disclosed. Assisted Sensing may be performed by a group lead or RSU and local scheduling may be performed by a group lead or RSU.

The invention provides a high and low temperature alternating environment temperature and pressure mixed signal decoupling method and system based on a multi-core optical fiber. According to the method, temperature and pressure mixed signals are synchronously acquired through phase difference data of a plurality of fiber cores, and multi-channel mixed sensing signals are generated; performing mechanical stress suppression on the multi-core optical fiber by using a thermal expansion adaptive packaging structure to form an anti-deformation optical fiber assembly; carrying out adaptive time slot distribution on the mixed sensing signal based on a time division multiplexing time sequence to generate a synchronous calibration signal; spectral features of the synchronous calibration signals are separated through the spectral analysis technology, scanning parameters are dynamically adjusted in combination with the temperature change rate and the deformation quantity, and temperature and pressure feature data are extracted; and performing decoupling operation on the feature data through the coupling model, and dynamically correcting the model parameter weight based on the deformation quantity feedback data to obtain a temperature parameter and a pressure parameter. According to the invention, the accuracy of synchronous decoupling measurement of temperature and pressure in a high-low temperature alternating environment is realized.

A mixed-signal in-memory computing sub-cell requires only 9 transistors for 1-bit multiplication. In one aspect, a computing cell is constructed from a plurality of such sub-cells that share a common computing capacitor and common transistors. As a result, the average number of transistors in each sub-cell is close to 6. Also proposed is a MAC array for performing MAC operations, which includes a plurality of the computing cells each activating the sub-cells therein in a time-multiplexed manner. Also proposed is an in-memory mixed-signal computing module for digitalizing parallel analog outputs of the MAC array and for performing other tasks in the digital domain.

The invention discloses a medical logistics robot task allocation system based on time division multiplexing and dynamic scheduling, which comprises a cloud platform, a plurality of robots and a cabin body replacement station, and is characterized in that the cloud platform adopts a conflict resolution strategy based on priority and time windows on the basis of task time division and class division allocation logic of a mixed AI scheduling algorithm; tasks are dynamically and intelligently distributed according to hospital business laws and real-time states of the robots; the robot communicates with the cloud platform through the communication equipment, various tasks issued by the cloud platform are executed by carrying various cabins, and the tasks comprise material distribution, cleaning, disinfection and polling; and the cabin body replacement station is used for providing cabin body replacement equipment and assisting the robot in replacing the cabin body. According to the invention, tasks can be dynamically and intelligently allocated according to hospital business rules and real-time states of the robots, so that the task processing efficiency and the resource utilization rate are remarkably improved, and the hospital logistics operation cost is reduced.

The invention provides a low orbit constellation autonomous time synchronization method based on a Ka inter-satellite link, and relates to the field of satellite navigation and time frequency transmission, and the method comprises the steps: obtaining a Ka wave band standard timestamp signal of a ground station, and carrying out the taming of a satellite clock, and obtaining a constellation initial anchor node; carrying out distance measurement in two directions by using time division multiplexing, and correcting motion time delay to obtain corrected inter-satellite clock difference data; carrying out clock error data fusion, inhibiting long-term drift, and generating a constellation unified time scale; based on the constellation unified time scale, topology dynamic optimization is carried out, and an optimized network topology is obtained; kalman filtering and polynomial prediction are utilized to maintain a time reference, and an LSTM neural network is combined to predict frequency drift change, so that an autonomous time keeping result is obtained; and verifying an abnormal clock error through majority voting of adjacent nodes, and if the voting fails, isolating a fault and reversely calculating a recovery value. The method is used for overcoming the defect that fiber time frequency transmission in the prior art is limited by ground fixed facilities and cannot be applied to inter-satellite scenes.

The invention discloses a novel pulse reinforcement learning driven unmanned system brain-like intelligent multivariate decision-making method. The method comprises the following steps: respectively establishing a state space, an action space and a reward function of detection identification, material delivery and flight maneuvering tasks; designing a pulse event triggering mechanism according to task characteristics, establishing a pulse frequency adjustment model of various tasks, and constructing a scheduling strategy of time division multiplexing and elastic borrowing; establishing a detection identification model, a material delivery model and a flight maneuvering model; a multi-modal variance index is introduced to dynamically adjust a control signal source by fusing a data strategy and a decision-making mechanism of a prior model; a sliding window state matrix is constructed, task priorities are dynamically calculated, and a unified control instruction is generated in a weighted fusion mode. According to the method, the response capability of the system to the multi-source task is improved, the time sequence independence and the scheduling efficiency of the task are guaranteed, and the stability and the controllability of the unmanned system in a complex environment are enhanced.

Various optical systems for use in a light pulse atomic interferometer (LPAI)-based one-, two-, or three-axis accelerometer or gyroscope are disclosed. As an LPAI accelerometer or gyroscope may employ many different laser beams to implement the LPAI functionality, ways of combining these different laser beams to thereby simplify the optical systems are desired. The cooling laser beam portion of the optical system may be simplified using one or more reflective grating chips. The Raman laser beam optics may be simplified using combiners and separators. For LPAI systems sensing along three axes, various optical switching schemes may be employed, including ones that generate variable data-rates with a primary sensing axis having a higher data-rate than the secondary sensing axes. Further, by combining various laser beams in a time-multiplexed manner, the number of optical fiber tethers to a sensor head may be reduced.

The invention relates to the technical field of integrated circuits, in particular to a multi-FPGA (field programmable gate array) interconnection method based on a data hub, electronic equipment and a medium. Then, obtaining a time division multiplexing proportional gain for adding a direct connection virtual cable to the group hypothesis of the FPGA with the communication requirement and each virtual path set is not empty, updating the virtual path combination set and the virtual path sets of the groups of all the FPGAs until all the virtual path sets are empty, determining a target path combination, and sending the target path combination to the FPGA; and establishing interconnection between the corresponding FPGAs on the basis of the initial topological structure through the data hub based on the target path combination. According to the method, the system frequency of communication between the multiple FPGAs is improved, and the system performance of communication between the multiple FPGAs is optimized.

The invention discloses a high-resolution and low-delay audio and video transmission method and system, which realize high-quality and low-delay remote audio and video transmission by dynamically negotiating transmission resolution and self-adaptive compression coding. The method comprises the following steps: constructing a resolution negotiation matrix through extended display identification data based on receiving end equipment, and determining an optimal transmission resolution parameter; the compression ratio is dynamically adjusted in combination with network bandwidth fluctuation, a compressed data stream is generated by adopting inter-frame prediction coding, and the anti-interference capability is enhanced through forward error correction and time division multiplexing packaging; and finally, the differential signal pair is transmitted to a receiving end to be decoded and restored into a standard audio and video signal. According to the method, the transmission delay is remarkably reduced while the high-resolution image quality is ensured, the method effectively adapts to a complex network environment, the transmission distance and stability are considered, and the method is suitable for application scenes such as remote conferences and real-time monitoring which have high real-time requirements.

The invention discloses an on-line detection system for glucose content and conductivity, comprising: a two-parameter synchronous detection module integrated in a to-be-detected liquid loop and used for synchronously detecting the glucose content and conductivity at the stages of concentrated solution preparation, inlet filling, cleaning and to-be-detected liquid testing; the real-time detection device comprises a cooperative control module for controlling the signal acquisition time sequence of the glucose content detection and the conductivity detection through time division multiplexing or an independent channel; the compensation calibration module is used for dynamically calibrating sensor parameters based on the concentration data of the real-time standard liquid and compensating a detection result in combination with temperature monitoring data; the data processing module is fused with multi-dimensional data prediction, counteracts cross interference, carries out feedforward compensation on sensitivity attenuation of the sensor in combination with historical data, and outputs a glucose content and conductivity detection result; the multi-dimensional data comprises glucose content, conductivity and temperature. According to the invention, the stability, precision and long-term reliability of online detection are significantly improved.

The invention discloses an FPGA efficient accelerator design method and system based on a sparse convolution kernel, and relates to the technical field of accelerator design. Comprising the steps of optimizing sparse weight storage and management, designing a sparse convolution kernel storage structure and adopting a data organization scheme oriented to output channel optimization; designing a sparse convolution kernel index and scheduling mode, including dynamic row coordinate index storage and an intelligent dynamic scheduling mechanism; and constructing a sparse convolutional layer, wherein the sparse convolutional layer comprises an output channel serial computing architecture and an optimized MAC module. Through collaborative optimization of weight pruning and convolution kernel pruning, an efficient storage mechanism based on a non-zero weight and coordinates thereof is established, the storage requirement is remarkably reduced, and the calculation efficiency is improved; a serial / parallel configurable calculation mode of an output channel is designed, and the time division multiplexing technology of a single MAC module is combined, so that efficient utilization of FPGA logic resources is realized.

A sensor including at least one sensor element configured for measuring an external parameter and outputting one or more results representative for the external parameter, an output buffer configured for receiving the one or more results or a processed version thereof and for applying an analog signal representative for the result or a time multiplexed sequence of analog signals representative for the results on a sensor terminal, and a control circuit configured for obtaining an ID of the sensor, and for receiving a trigger signal, and for determining whether the trigger signal matches the ID of the sensor, and for enabling the output buffer during a predefined period when the trigger signal matches the ID of the sensor.

Embodiments of the present disclosure relate methods and systems for transmitting downlink Orthogonal time frequency-division multiplexing (OTFDM) symbol. The method comprising time-multiplexing, by the transmitter, at least one of a primary synchronization signal (PSS) sequence, a secondary synchronization signal (SSS) sequence and a physical broadcast channel (PBCH) sequence to generate a multiplexed sequence. Also the method comprises processing, by the transmitter, the multiplexed sequence to generate a SS Block OTFDM symbol.

The invention discloses an efficient acquisition and processing system for safety production monitoring data of an electric power steel structure, and the system comprises a space-time sparse sampling module which analyzes the spatial distribution density of monitoring points of the electric power steel structure and the time domain characteristics of vibration signals, generates a dynamic sampling strategy, and carries out the acquisition operation through distributed sensing nodes; and the data transmission scheduling module encapsulates data according to a Predict Steel Core pre-research platform protocol, and performs directional transmission by adopting a time division multiplexing mechanism. The physical information prediction module imports an explicit time-domain physical information dynamic response prediction model and generates state prediction data in combination with the structure parameters; and the threshold early-warning analysis module loads an online incremental learning dynamic threshold early-warning algorithm to carry out real-time comparison. The platform interaction storage module stores data in a classified mode and provides a calling interface, the control coordination module dynamically adjusts operation parameters and data circulation time sequences of all the modules, efficient operation of the whole link is guaranteed, and the processing efficiency and accuracy of the safety production monitoring data of the electric power steel structure are improved.

The embodiment of the invention provides a CXL host controller, a data transmission method and a computer. The CXL host controller comprises a CXL host bridging module and a CXL multi-port controller, the CXL multi-port controller is connected with a physical link of the CXL equipment and is shared by a plurality of root ports managed by the CXL multi-port controller, and each root port is used for being connected with the corresponding CXL equipment; the plurality of root ports are activated by turns according to a time division multiplexing mechanism, and data transmission is carried out by using a physical link; the CXL host bridging module is used for receiving a processor message in a sending direction, converting the processor message into a CXL message and transmitting the CXL message to the CXL multi-port controller; and the CXL multi-port controller receives the CXL message of the CXL host bridging module in the sending direction, indicates the activated target root port based on the current clock period time division multiplexing signal, transmits a data packet corresponding to the CXL message to the target root port, and transmits the data packet to the CXL equipment through the target root port. According to the CXL host controller, multi-port expansion is realized, and higher compatibility and flexibility are provided for expansion of a CXL network and memory equipment.

The invention provides an LED instrument navigation information synchronization and display method and system based on Bluetooth interconnection and a medium, and belongs to the technical field of intelligent vehicle-mounted electronics. The method comprises the following steps: generating a structured navigation data set through a navigation application, establishing multi-channel connection based on a Bluetooth 5.0 protocol, and transmitting data by adopting a time division multiplexing mechanism; after the vehicle-mounted terminal receives the data, integrity verification is carried out, a vector graph is restored according to a geographic information frame, and display content is dynamically screened in combination with vehicle real-time state parameters; and fusing the navigation information and the road feature layer by using a hardware acceleration rendering engine to generate a signal for driving the LED array display device. According to the invention, through the technologies of dynamic traffic data access, adaptive frequency modulation, priority data scheduling and the like, efficient synchronization and accurate display of navigation information are realized, and the real-time performance, the reliability and the user experience of the vehicle-mounted navigation system are improved.

The embodiment of the invention provides a resource scheduling method and device, a cloud platform resource scheduling method and device, a storage medium and a program product. In the embodiment of the invention, the resource scheduling method is provided, aiming at a first customer who prepays a specified resource in a target time period, under the condition that the target time period is not exceeded, the first customer is allowed to share the resource which is prepaid by the first customer with a second customer which is suitable for resource sharing with the first customer; and when the resource sharing and recycling conditions are met, the shared resources are recycled in time, so that the second customer can perform time division multiplexing on the prepayment resources of the first customer, and the resource utilization rate of the first prepayment customer for the specified resources is improved.

The invention provides an optimization method, device and equipment for a quantum key distribution handshake protocol, and the method comprises the steps: preparing a standard quantum state and building a spinning peak shifting time sequence, and achieving the time division multiplexing and parallel processing of a plurality of quantum channels; constructing a handshake mode with successful pre-matched codebook storage history, and supporting rapid mode matching; the authentication sub-process and the negotiation sub-process are decoupled through a parallel verification architecture and are executed in parallel on different time phases; the quantum signature token and the key negotiation parameters are fused to generate a handshake state matrix, and global representation of the handshake process is achieved; performing success probability pre-judgment based on quantum entanglement association strength analysis, and triggering a pre-generation mechanism of a candidate key pool; performing quantum state weaving and fusion on the key by using local, non-local and mixed entanglement distribution adjustment to generate an enhanced key; and finally, optimal distribution is completed in combination with a spinning peak shifting time sequence, so that parallelization of authentication and negotiation, intellectualization of resource distribution and real-time state monitoring are realized.

The invention discloses a control device and computer equipment for a brain health therapeutic apparatus, and relates to the technical field of brain stimulation control, and the method comprises the steps: synchronously collecting an fMRI activity map, sMRI data and whole-brain voxel-level DTI data of a subject, extracting a cortex target region to be stimulated, and reconstructing and generating a triangular mesh model; non-linear registration is carried out on whole-brain voxel-level DTI data and the sMRI space, and a target region vertex direction field is generated; calculating a direction field average direction and a direction field covariance of the direction field at the vertex of the target region; if the covariance of the direction field does not exceed a preset covariance threshold value, controlling the brain health therapeutic apparatus to perform magnetic stimulation operation on the cortex target region according to the average direction of the direction field; and if the direction field covariance exceeds a covariance threshold, screening a first target region vertex sector and a second target region vertex sector, and controlling the brain health therapeutic apparatus to perform time division multiplexing vector scanning between sectors. Therefore, the accuracy of targeted stimulation and the individual suitability are greatly improved.

The invention belongs to the technical field of satellite communication and antenna arrays, and relates to a low-orbit satellite ultra-large folded array antenna beam and polarization adaptive calibration system. According to the system, through a feed network of an antenna and a coupler of a satellite-borne detection path, a Jones matrix of each array element is obtained by adopting time division multiplexing excitation, and amplitude and phase calibration in a substrate is realized by utilizing least square pseudo-inverse compensation. Self-adaptive fusion is carried out according to the energy of the left-hand and right-hand circular polarization channels, the residual error of a fusion signal and an ideal signal is calculated, and abnormal array elements are removed in combination with amplitude outlier and phase jump detection. Performing low-rank denoising and sparse correction processing on the phase residual error, calculating the plane coefficient of each substrate through weighted least square plane fitting, and realizing smoothing and compensation iteration by using Kalman filtering and phase updating constraint. And finally, correcting each array element by the spaceborne digital beam forming unit according to the calibration coefficient, thereby realizing accurate calibration of the antenna beam and polarization.

Methods, systems, and devices for wireless communications are described. In some examples, a transmitting device associated with one or more non-coherent demodulation reference signal ports may transmit data including a phase change estimation reference signal with multiple reference signal groups. In some examples, multiple different phase change estimation reference signal ports may be code-division multiplexed to transmit the phase change estimation reference signal in the same set of reference signal groups using a different orthogonal cover code for each phase change estimation reference signal port. In some other examples, the different phase change estimation reference signal ports may be used for transmitting the phase change estimation reference signal in the different time-division multiplexed sets of reference signal groups. In such cases, by assigning two phase change estimation reference signal ports to two TDM sets, the two phase change estimation reference signal ports may be time-division multiplexed.

The invention relates to the technical field of bridge load tests, and provides a bridge load test crack increment change observation method and system, and the method comprises the steps: collecting prestressing tendon circumferential strain distribution data and dual-wavelength strain response data; calculating an interface bonding stiffness change parameter; pre-stress modulation effect compensation and polar coordinate system conversion are carried out on the strain response data and the rigidity change parameters, and micro-crack characteristic signals are obtained; load data and beam group arrangement parameters are collected, and a micro-crack propagation prediction model is established in combination with the interface bonding stiffness change parameters; inputting the micro-crack characteristic signal into a micro-crack propagation prediction model, and outputting a micro-crack development trend prediction result; and adjusting sampling parameters of a dual-wavelength time division multiplexing algorithm and characteristic extraction parameters of prestress modulation effect compensation according to a micro-crack development trend prediction result. According to the invention, the precision of observing the increment change of the micro-crack in the bridge load test is improved, and the automatic monitoring and prediction of the micro-crack of the prestressed concrete bridge are realized.

A memory output circuit for selectively propagating proximate memory output data in a memory array of superconducting memory cells includes multiple datum inputs adapted to operably receive corresponding memory state signals from physically adjacent bit lines in the memory array, and at least one logic gate configured to implement logical OR functionality. The logic gate includes multiple inputs, for receiving at least a subset of the datum inputs operatively coupled thereto, and an output for propagating at least one datum output signal. The memory output circuit further includes at least one delay element operatively coupled to a corresponding one of the datum inputs. The delay element is configured to generate an output signal operably connected to a corresponding one of the inputs of the logic gate, the output signal generated by the delay element being a temporal sequence of at least a subset of the memory state signals supplied thereto delayed by a prescribed delay value.

The invention discloses a zero-dead-time single photon counting system based on time division multiplexing, and belongs to the technical field of laser radars. The system comprises an optical multiplexer, N detection channels, N delay modules, a shift register and a counting circuit, according to a time division multiplexing mechanism, a time axis is divided into a plurality of independent time slots, and in different time slots, incident signal light is input into different detection channels according to a preset sequence, so that zero-dead-time single photon counting is realized. According to the invention, the dead time problem of a traditional single-photon detector is solved, the photon counting pulse and the dark current pulse are effectively distinguished through a multi-parameter pulse discrimination technology, the signal-to-noise ratio of the system is significantly improved, and a reliable solution is provided for application scenes requiring high-sensitivity detection, such as laser radar and quantum communication.

The invention relates to an anti-interference ADC (Analog to Digital Converter) biopotential sampling system, which solves the contradiction that a small-dynamic-range ADC is easy to saturate and a large-dynamic-range ADC is high in cost through time division multiplexing of a high-range ADC and a low-range ADC in combination with a signal compensation technology, and realizes the unification of a wide dynamic range and high-frequency signal fidelity. The first ADC processing branch firstly measures main components of signals and generates compensation signals, the second ADC processing branch carries out fine measurement on residual signals, after the two branches are superposed, the overall dynamic range of the system is expanded, and signal saturation or detail loss caused by range limitation of a single ADC is effectively avoided; on the premise that the real-time performance of signals is guaranteed, high signal-to-noise ratio and wide-range compatible accurate sampling is achieved with low hardware cost, and the invention further provides an anti-interference ADC biopotential sampling method.

The invention discloses a narrowband-broadband intelligent switching method of a radar, and belongs to the field of radar signal processing. Single radar wide-narrow band function integration is achieved through resource multiplexing, self-adaptive triggering and dynamic parameter configuration, detection tracking in a default narrow band mode is achieved, switching is triggered based on manual instructions and double thresholds, hardware such as a common antenna and a T / R assembly is reconstructed through time division multiplexing and software parameters, the signal synchronization time is shortened, and the target tracking response delay time is shortened; double-radar collaborative design is not needed, and the design workload is reduced. According to the invention, double radars are combined into a single radar, the hardware cost is greatly reduced, and the method is suitable for unmanned aerial vehicle-mounted, vehicle-mounted and other space-limited scenes and military reconnaissance, civil security and protection and other tasks.

The invention relates to the technical field of rail transit, and discloses a wire harness detection system for a rail vehicle, which comprises a master control unit, a first detection unit, a second detection unit and a self-adaptive communication module, and is characterized in that the master control unit is used for storing a topological information database of a to-be-detected wire harness; the database comprises wire harness numbers, terminal position codes and rated test parameters; the first detection unit and the second detection unit are respectively provided with an anti-misplug structure, and the anti-misplug structure comprises a magnetic code positioning interface which identifies terminal magnetic pole codes through a Hall sensor; the multi-channel parallel detection circuit realizes parallel testing of multiple wire harnesses by adopting a time division multiplexing technology. According to the invention, the system can effectively prevent the problems of wrong insertion and missing insertion of the terminal, the magnetic coding positioning interface accurately identifies the magnetic pole code of the terminal through the Hall sensor, it is ensured that only the matched terminal is allowed to be inserted, and manual operation errors are fundamentally eradicated.

The utility model discloses a touch sensing and heating multiplex circuit and a nursing instrument. The touch sensing and heating multiplex circuit comprises a switch module; a charging and discharging module; the MCU module comprises a multiplexing control end, a transmitting electrode end and a receiving electrode end; the multiplexing control port is connected with the switch module so as to send a high / low level signal to control the on-off state of the switch module; the sending electrode end is connected with the charging and discharging module so as to send high / low level signals; the receiving electrode end is connected with the charging and discharging module to perform potential detection; the induction coil is connected with the switch module and the charging and discharging module, the charging and discharging module charges a formed induction capacitor when the on-off state of the switch module is a first state and the skin is close to the induction coil, and the induction coil serves as a touch induction assembly; the power supply supplies power to the induction coil when the on-off state of the switch module is the second state, and the induction coil serves as a heating assembly. According to the utility model, time division multiplexing of touch sensing and heating functions can be realized.