1427 results about "Data bits" patented technology

The invention relates to the technical field of industrial robots, in particular to an industrial robot disordered grabbing system and method based on multi-modal sensing, and the system comprises a multi-modal sensing module, a pose estimation and correction module, a grabbing task planning module and a mechanical arm execution module. The multi-modal sensing module is used for acquiring RGB image data, depth image data, point cloud data and force / torque data in a working environment, and the pose estimation and correction module performs feature extraction and fusion on multi-modal data based on topology invariant mapping and performs adaptive pose estimation on a target object. The grabbing task planning module generates an optimal grabbing strategy based on deep reinforcement learning and outputs a grabbing control instruction, and the mechanical arm execution module receives the grabbing control instruction, controls a mechanical arm to execute a grabbing action and monitors a grabbing state through force / torque feedback. And the environmental adaptability and the perception robustness are improved.

The invention discloses a data processing system and method, electronic equipment and a storage medium, and relates to the technical field of computers.Original input data are preprocessed into multiple sets of target input data through a data input module, and the multiple sets of target input data are input into multiple iterative calculation units to obtain data to be calculated and code identifiers; when the code identifier represents that the to-be-calculated data needs to be overturned in advance, the to-be-calculated data is overturned in advance to obtain the to-be-calculated inverted data, and a subsequent iterative calculation unit only needs to perform target calculation on the to-be-calculated inverted data to obtain a data processing result; that is, the iterative calculation unit can obtain the data processing result only by performing a small amount of data bit flipping on the to-be-calculated inverted data through the target calculation, the number of data bit flipping in the target calculation is reduced, the dynamic flipping power consumption is reduced, and compared with a power consumption reduction mode in the related technology, the efficiency is improved. High-difficulty chip rear end layout wiring is not needed, and the performance and the power consumption reduction effect of the chip can be ensured.

The invention relates to the technical field of slope disaster monitoring, particularly provides a slope landslide geological disaster monitoring method and system based on image intelligent identification, and solves the problems that image identification and hyperspectral analysis are depended, multi-modal data fusion is lacked, and the monitoring accuracy is high. The method comprises the following steps: acquiring multi-modal data through an unmanned aerial vehicle hyperspectral camera, a ground image sensor, a vibration sensor, a displacement sensor and a meteorological sensor; carrying out denoising, calibration and formatting processing on the acquired multi-modal data; extracting landslide related features from the image data, the hyperspectral data, the vibration data, the displacement data and the meteorological data; fusing the multi-modal data through an intelligent fusion algorithm to generate a landslide risk assessment result; and early warning information is generated according to a landslide risk assessment result, and an emergency response mechanism is triggered, so that the precision and efficiency of image recognition and hyperspectral data analysis are improved, and the real-time performance and response speed of the system are improved.

The embodiment of the invention provides a data tracking circuit, a data tracking processing method, a chip and electronic equipment, the data tracking circuit comprises a selection module and a packaging engine module, tracking source data is received and selected to be output as tracking data through the selection module, the packaging engine module packages the tracking data to generate corresponding data frames, and the corresponding data frames are stored in the storage module. The data frames comprise the identifiers used for identifying the types of the data frames, the larger the number of the data frames of the same type is, the shorter the data bit width of the identifiers of the data frames of the type is, compared with identifiers of fixed lengths, the lengths of most identifiers can be shortened, the data size of the data frames is reduced on the whole, and the data transmission efficiency is improved. And thus, the bandwidth required by the packaged data frame is also reduced.

A method and apparatus are provided for processing a GNSS signal received at a receiver. The method comprises mixing a local carrier signal with samples of the GNSS signal to generate carrier-free signal samples. It further comprises: correlating the carrier-free signal samples with a local spreading code to generate a complex-valued correlation result; and wiping off at least one of the data bits from the complex-valued correlation result, to produce a data-free complex-valued correlation result. A carrier phase of the local carrier signal is controlled based on a Doppler estimate for the GNSS signal, wherein the Doppler estimate is based at least in part on inertial measurements made at the receiver.

Certain aspects of the present disclosure generally relate to techniques for selecting a base graph to be used for wireless communications. Selection can be based on a variety of factors. A base graph can be used to derive a low-density parity-check (LDPC) code used for encoding a retransmission of an original transmission. An exemplary method generally includes selecting, based on a modulation and coding scheme (MCS) and a resource allocation (RA) for transmitting a codeword, a base graph (BG), from which to derive a low density parity check (LDPC) code for use in encoding data bits in the codeword (e.g., encoding data bits of a bitstream such that some redundant bits are included in the codeword), encoding the data bits to generate the codeword using the LDPC code derived from the selected BG, and transmitting the codeword using the MCS via resources of the RA.

The present invention discloses a method and device for transmitting network time synchronization messages applicable to any channel environment, including: classifying the data bits of the time synchronization messages to be transmitted to obtain public information bits and secret information bits, and performing Polar coding on the data of the time synchronization messages to obtain a first coding sequence; dividing all data subcarriers within the transmission bandwidth into sub-blocks according to the number of legitimate receivers, and dividing each sub-block to obtain clusters, performing IM modulation on each cluster to determine the active subcarrier indices of each cluster; interleaving the symbol vector obtained by modulating the first coding sequence based on the total frequency-domain channel matrix characteristics of a preset channel simulation system; modulating the interleaved symbol vector onto the active subcarriers selected for each sub-block to complete OFDM-IM modulation, and sending the modulated OFDM-IM signal to each legitimate receiver. The present invention solves the problems of poor security and limited application scenarios in the transmission of network time synchronization messages.

The invention relates to the technical field of computer hardware and network communication, in particular to a high-speed I / O (input / output) virtualization server based on an FPGA (field programmable gate array) and a remote forwarding method.The high-speed I / O virtualization server comprises an FPGA chip, a network processing unit, an I / O protocol processing unit, a protocol conversion and scheduling unit, a time sequence and transaction management unit and a data buffering and flow control unit are integrated in the FPGA chip; the optical fiber Ethernet interface module comprises a physical layer interface and an MAC layer processing and network configuration interface; the local I / O interface module comprises a USB interface circuit, a serial port interface circuit, a PCIe interface circuit and an interface expansion connector; the power supply and monitoring module comprises a multi-path power supply management system, a state monitoring and diagnosis system and an LED indication system; according to the self-adaptive Baud rate detection circuit, the Baud rate can be accurately locked under the condition that data with less than two characters is received, the number of data bits, the type of a check bit and the length of a stop bit are automatically identified, and compared with a traditional microcontroller scheme, the self-adaptive Baud rate detection circuit has higher precision and higher detection speed.

The invention provides a downlink data transmission method, device and system for laser fiber power supply application, and the method comprises the steps: carrying out the differential coding of downlink data to be transmitted through a transmitting end, and obtaining a data bit sequence; mapping the data bit sequence into a modulation symbol sequence by adopting a single-carrier phase modulation mode; performing digital-to-analog conversion on the modulation symbol sequence to obtain an analog signal; and outputting downlink energy and downlink data through an energy optical fiber according to the analog signal. According to the invention, the signal frequency spectrum is moved to be far away from the direct current frequency through differential coding and single carrier phase modulation, so that the interference of direct current laser energy on signal detection is minimized, the signal-to-noise ratio is improved, the inter-symbol interference is reduced, and a receiving end is ensured to have enough signal-to-noise ratio to reliably detect data.

The invention discloses a robot track online compensation and precision control method and system based on multiple sensors, and belongs to the technical field of robot track control. The method comprises the following steps: acquiring target trajectory data and original data of each sensor, and performing time alignment on the original data of each sensor to generate a fusion data set comprising vibration acceleration data and pose data; performing time-frequency feature extraction based on the vibration acceleration data to obtain a dominant vibration frequency spectrum; constructing a mechanical transfer function model of the joint driving torque and the tail end vibration displacement; based on the mechanical transfer function model, constructing an adaptive notch filter to generate a feed-forward compensation sequence; according to the target trajectory data, the pose data and weight parameters, updated in real time, of the sensors, a trajectory fusion deviation value is obtained through calculation; and after the feedforward compensation sequence and the trajectory fusion deviation value are integrated, a joint driving current instruction is generated based on a fuzzy PID control algorithm. The robot trajectory control precision can be improved.

The invention provides an anti-interference serial port communication method and system for an industrial-grade wireless module, and the method comprises the steps: collecting interference data in the serial port communication of the industrial-grade wireless module in real time based on a multi-dimensional interference feature collection module, and forming a multi-scale interference feature vector; inputting the multi-scale interference feature vector into a Mamba communication state space model fused with a CRC (Cyclic Redundancy Check) mechanism, and predicting a potential interference mode through linear complexity time sequence modeling; based on an adaptive weight transmission optimization function, carrying out dynamic weighting adjustment on the transmission parameters in the potential interference mode; wherein the transmission parameters comprise a baud rate, a data bit length, a verification mode and a retransmission strategy. According to the invention, hardware cost does not need to be increased, and the cost of anti-interference serial port communication is reduced; meanwhile, based on an adaptive weight transmission optimization function, dynamic weighting adjustment is carried out on transmission parameters in a potential interference mode, and interference dynamic changes are tracked in real time to carry out anti-interference communication.

A method and apparatus are provided for processing a GNSS signal received at a receiver. The method comprises mixing a local carrier signal with samples of the GNSS signal to generate carrier-free signal samples. It further comprises: correlating the carrier-free signal samples with a local spreading code to generate a complex-valued correlation result; and wiping off at least one of the data bits from the complex-valued correlation result, to produce a data-free complex-valued correlation result. A carrier phase of the local carrier signal is controlled based on a Doppler estimate for the GNSS signal, wherein the Doppler estimate is based at least in part on inertial measurements made at the receiver.

The invention discloses a serial port communication transmission method and system with high baud rate tolerance. The method comprises the following steps: S1, monitoring a serial port communication line until a level change from logic '1' to logic '0' is detected, and detecting a start bit of a data frame through a triple acknowledgement mechanism; s2, after the transmission of the data bits and the optional parity check bits is completed, continuously monitoring the serial port communication line until the level change from the logic '0' to the logic '1' is detected, and confirming a stop bit for detecting a data frame through triple sampling; and S3, after the stop bit of the data frame is ended, returning to the step S1 to detect the start bit of the next frame of data. According to the invention, by adopting a triple acknowledgement mechanism and a triple sampling acknowledgement method, the start bit and the stop bit of the data frame can be accurately detected, accurate receiving of data can be kept even under the conditions of Baud rate change and noise interference, and an efficient and reliable serial port communication solution is provided for users.

The invention provides a model training method and device, equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of neural network models and model training. The specific implementation scheme is as follows: a calculation unit executes quantization matrix multiplication based on Hadamard pre-transformation on an activation tensor and a weight tensor of a target model stored in a memory so as to generate an output tensor of a linear layer based on a low-precision tensor with smaller data bit width; using the output tensor and a subsequent network layer of the target model to complete forward propagation so as to obtain a loss value; and according to the loss value, updating model parameters of the target model stored in a memory through a back propagation algorithm. By means of the technical scheme, on the premise that the model training precision is guaranteed, memory resource occupation and the calculation amount in the calculation process can be remarkably reduced, and the training cost is reduced.

Provided herein may be a storage device and a method of operating the same. The storage device may include a memory device including a plurality of memory blocks, each including a plurality of memory cells configured to store data, and a memory controller in communication with the memory device and configured to 1) determine a write mode of a memory block of the memory device to be either a first write mode in which one data bit is stored in a memory cell of a memory block or a second write mode in which a plurality of data bits is stored in a memory cell based on a temperature of the storage device and a number of read reclaim operations that have been performed in the memory block and 2) control the memory device to perform a write operation in the determined write mode.

The embodiment of the invention provides a data processing method and a data processing device, relates to the technical field of chips, and solves the problem of low performance of a processor. According to the specific scheme, a processor core obtains input data of a target function through an input interface; the processor core determines polynomial coefficients corresponding to the input data based on the first index and the second index. And the processor core performs polynomial calculation based on the data bits and the polynomial coefficients to obtain output data of the target function, and outputs the output data of the target function through the output interface. The embodiment of the invention is used for the calculation process of the target function.

The invention provides a weight quantification method and device based on mixed segment coding and a server, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a to-be-processed floating point weight and an activation value; based on the Laplacian distribution of the floating point weights, carrying out hybrid segmented coding processing on the floating point weights to obtain a coding weight set in a quantization weight coding format; and determining a multiplication coefficient and a shift value of the coding weight based on the identification bit, and carrying out multiplication and addition calculation processing on the activation value and the weight information in the data bit based on the multiplication coefficient and the shift value to obtain an output activation value corresponding to the coding weight. According to the method, the quantization precision of the neural network can be remarkably improved, and the quantization error is reduced while the compression ratio is not changed.

The embodiment of the invention provides an embedded AI power grid waveform dynamic bit width adaptive preprocessing method and system and a medium, and the method comprises the steps: obtaining the real-time sampling data of voltage and current, and analyzing the sampling precision of the real-time sampling data; setting a sampling precision threshold, and judging whether the sampling precision is greater than the sampling precision threshold; if the sampling precision is greater than the sampling precision threshold value, performing Q-format fixed-point number conversion on the real-time sampling data, and performing normalization processing on the real-time sampling data after the Q-format fixed-point number conversion; if the real-time sampling data is smaller than or equal to the real-time sampling data, converting the real-time sampling data into normalization by adopting an LUT table look-up method; normalized sampling data is input into a quantitative model, data bit width is output, a bit width adjustment strategy is generated based on a set bit width threshold value, the data bit width is dynamically adjusted, the data preprocessing efficiency is improved through Q format fixed-point and LUT lookup methods, memory occupation is reduced, and self-adaptive preprocessing can be conducted according to collected signals of different bit widths.

The invention relates to a data bit width dynamic compression and decompression method for an edge computing system while drilling, and belongs to the technical field of data compression and storage. The method comprises the following steps: traversing a data set to be compressed, and taking any value smaller than the maximum value in the data set to be compressed as a reference value; calculating a difference value between each piece of data in the to-be-compressed data set and the reference value to obtain a plurality of pieces of differential data, and determining a target storage bit width according to a storage bit width corresponding to a maximum value in the differential data; and by taking the target storage bit width as a reference, encoding each piece of differential data to obtain a plurality of pieces of encoded data, and arranging the plurality of pieces of encoded data into a data stream according to an output sequence. According to the invention, the technical problem of low compression efficiency or key information loss easily caused by a compression method based on fixed reference differential coding in the prior art under the condition of coexistence of data local stability and local abrupt change is solved.

The invention relates to the field of data processing, in particular to a data caching method of an on-chip logic analyzer and a related device. The method comprises the following steps: acquiring to-be-processed input data through a trigger unit; marking corresponding to-be-analyzed data bits in the input data by adopting a significant bit mask; comparing whether the to-be-analyzed data bit is matched with the mode mask to obtain a matching result of the to-be-analyzed data bit; and according to the matching result and / or the data caching mode of the trigger unit, controlling the data storage process of the custom storage array and the ping-pong buffer area, so that target input data meeting the caching requirement in the input data is stored in the ping-pong buffer area. According to the method, the trigger conditions can be flexibly set according to specific analysis requirements, different debugging and analysis scenes are met, data related to the target event are more accurately captured, the adaptability and debugging efficiency of the logic analyzer and the utilization rate of storage resources are improved, and powerful support is provided for deep data analysis.

The invention discloses a DALI (Digital Addressable Lighting Interface) data frame decoding method for Manchester encoding, which solves the problems of poor universality and high bit error rate caused by a fixed clock in the traditional method. The method comprises the following steps: receiving a DALI frame containing a start bit, a data bit and a stop bit; identifying a start bit, measuring the low level length of the start bit for multiple times, taking extreme values Tmax and Tmin, and checking the ratio (1lt; tmax / Tminlt, Tmax / Tminlt; 1 + n) and then T = (Tmax + Tmin) / 2 is calculated; setting two judgment intervals [T-nT, T + nT) and [2T-nT, 2T + nT) (0lt; nlt; 0.5) judging that the duration of the adjacent jump edge is T or 2T; counting edge overturning times in a 2T window from the middle moment of a data bit, keeping a logic value unchanged in two times, and performing negation in one time; and a stop position is detected through 4T in a non-jump manner. Through dynamic time sequence calibration and adaptive decoding, the decoding reliability in a complex environment is improved, the bit error rate is reduced, and the stability and universality of data transmission of the intelligent lighting system are enhanced.

The invention provides an isomorphic sensor dexterous hand-tactile glove system and a data acquisition method, and belongs to the technical field of tactile sensing, the system comprises a tactile data acquisition module which comprises a glove main body and a fixed flange arranged on the glove main body, a tactile sensor array is arranged on the palm side of the fixed flange and used for collecting tactile data of interaction between the glove body and an object; the visual perception module comprises an infrared camera array and an RGB (Red, Green and Blue) camera array, and is used for tracking marking balls arranged on the fixed flanges so as to solve pose data of the fixed flanges and collecting RGB images of interaction between the glove main body and an object; and the multi-modal data processing module is used for receiving the tactile data, the pose data and the RGB image, realizing space-time alignment of the data and generating a standardized data set. The system is simple in structure, rapid in deployment and high in acquisition safety, and can be suitable for tactile big data acquisition under multi-scene and multi-task conditions.

The invention provides a data flow control method for TDD uplink and downlink time slot ratio, and belongs to the field of data flow control, and the method comprises the following steps: a 5G module establishes communication connection with a 5GNR module through a serial port AT instruction, periodically sends a synchronization information request instruction, and receives wireless network synchronization information from the 5GNR module; the synchronization information comprises time synchronization data, frame structure data and frame structure time information data, the time synchronization data is used for calibrating system clock skew, the frame structure data comprises two formats of a single-bit frame and a multi-byte frame, the single-bit frame is defined as a fixed-length frame only containing a single data bit and is used for transmitting a basic synchronization state identifier, and the multi-byte frame is defined as a multi-byte frame. The multi-byte frame is defined as an extended data frame comprising a plurality of independent bytes, and each byte carries a specific parameter value for transmitting a TDD slot configuration parameter.

The invention discloses a lattice cryptographic modular multiplication method and a modular multiplier based on an improved plantard algorithm, which eliminate the post-processing overhead of the traditional modular multiplication method by preprocessing twiddle factors in the level of the modular multiplication method. In hardware implementation, shift-addition is adopted to replace a complex multiplier, a dynamic bit width truncation technology is combined, the bit width of intermediate data is compressed from 39 bits to 21 bits, and logic resource consumption is greatly reduced, so that modular multiplication operation in a lattice password digital signature scheme can be quickly and efficiently completed.

The invention discloses a single-serial-port multi-software sharing system and method. The method comprises the following steps: generating a plurality of virtual serial ports in an operating system; setting serial port parameters, wherein the serial port parameters comprise a baud rate, a data bit and a stop bit; configuring serial port forwarding parameters, namely selecting a physical serial port and setting data transmission parameters; establishing connection between physical serial ports and virtual serial ports and pairwise connection between the virtual serial ports according to the serial port forwarding parameters and the serial port parameters; receiving data from the physical serial port or the virtual serial port, performing analysis and error check, and removing error data to obtain serial port data; converting and formatting the serial port data to obtain processed data; and sending the processed data to the virtual serial port or sending the data from the virtual serial port to the physical serial port.

A method and apparatus for receiving a PPDU in a wireless LAN system are provided. Specifically, a receiving STA receives a PPDU from a transmitting STA via a first frequency band and decodes the PPDU. The PPDU includes a preamble and a data field. The first frequency band includes a first sub-block and a second sub-block. The data field includes first data for the first sub-block and second data for the second sub-block. The first data is generated based on data in which constellation mapping is performed on coded data bits. The second data is generated based on data obtained by replicating the first data and applying phase rotation to the data.

The invention discloses a garbage collection optimization method and device, equipment and a medium. The invention relates to the technical field of solid state disks, which comprises the following steps that: a global invalid data bit chart is established in a host memory, each table item in the global invalid data bit chart corresponds to a physical block, and a bitmap bit in each table item corresponds to a physical page in the physical block; bit values corresponding to the bitmap bits comprise a first bit value and a second bit value; responding to a data updating event through an access acceleration engine so as to dynamically update the bit value of the corresponding physical page in the global invalid data bit graph; and when garbage collection is triggered, screening the physical page of which the bit value is the second bit value in a to-be-collected source physical block according to the global invalid data bit chart and the access acceleration engine to perform validity verification and data migration, and skipping the physical page of which the bit value is the first bit value. According to the invention, the garbage recycling efficiency is improved.

The invention discloses a flash memory-based data processing method, data processing equipment and a storage medium, relates to the technical field of flash memories, and discloses a flash memory-based data processing method, which comprises the following steps of: obtaining an error correction failure page of a flash memory after error detection and correction processing is executed, and obtaining an error correction success page adjacent to the error correction failure page; determining target data corresponding to the corrected data of the error correction success page in the error correction failure page; performing soft decoding processing on the target data according to the corrected data and a preset decoding algorithm so as to identify and correct error data bits of the error correction failure page and reduce the error number of the bits in the error correction failure page; and performing error detection and correction processing on the basis of the error correction failure page after the soft decoding processing to obtain a corrected target error correction success page. After the error correction failure page is obtained, soft decoding processing is carried out on the error correction failure page through the error correction data of the adjacent page, the number of errors is reduced, error correction processing can be carried out on the error correction failure page, and the error correction reliability is improved.

The invention relates to the technical field of communication, and discloses an AI-based adaptive data encryption method and system, and the method comprises the steps: carrying out the frequency domain transformation analysis of an original data flow, and generating a spectrum distribution feature set; the carrier frequencies are screened through a dynamic frequency selection algorithm to obtain an optimal carrier frequency range; performing phase modulation on the data bit stream, and embedding the data bit stream into a subcarrier in an optimal carrier frequency range to generate a first encrypted data stream; when the interference intensity exceeds an interference threshold value, performing directional adjustment on a frequency deviation parameter according to an interference type, and generating a second encrypted data stream; dynamically adjusting the frequency distribution parameters according to the transmission distance data to obtain a frequency distribution parameter set; and performing adaptive modulation and spectrum shaping on the second encrypted data stream based on the frequency distribution parameter set, and outputting a hidden transmission data stream. The method has the following effect that the data hidden transmission capability and the receiving and restoring accuracy in a complex environment can be improved.

The invention relates to the technical field of identity authentication, in particular to a user identity authentication method and system for communication software, which comprises the following steps of: acquiring an identity authentication request data packet in a communication protocol, decoding identity authentication field information, extracting a fixed field, a dynamic field and a variable field, and calculating a data bit offset value; and carrying out structure mapping and obtaining an identity verification field mapping result. According to the invention, through deep analysis of the identity verification request data packet, extraction and mapping of the identity verification field structure, improvement of the analysis accuracy and construction of the matching feature matrix, verification of the data format and content is more targeted, the possibility that abnormal data bypasses verification is reduced, the session continuity is evaluated in combination with historical session data, and the verification efficiency is improved. The adaptability of identity authentication to dynamic behaviors is improved, context consistency is calculated, keyword deviation degree judgment is performed, identity authentication strength is adjusted, identity authentication dynamically adapts to user behavior changes, interaction experience is improved, and safety is enhanced.