20results about How to "Efficient decoding" patented technology

The invention belongs to the technical field of learner cognitive state interpretation, and particularly discloses a brain-language-vision large model-based cognitive state interpretable method, which comprises the following steps of performing multi-modal data collection for the cognitive state of a learner; performing learner cognitive state characterization based on a multi-scale map convolutional network; brain-vision-language mixed multi-modal time sequence feature fusion based on hierarchical mutual information maximization is carried out; embedding knowledge graph nodes for enhancing the complex task understanding ability of the multi-modal large model; training a brain-vision-language multi-modal large model guided by knowledge; recognizing a learner cognitive state based on a multi-modal large model; the cognitive state of the learner can be explained and analyzed under the support of multi-mode owned reasoning. According to the cognitive state interpretable method based on the brain-language-vision large model, the input multi-modal fusion features are converted into high-quality prompts so as to guide the large language model to extract implicit knowledge, and important support is provided for reasoning generation.

The embodiment of the invention discloses an SPDIF data stream decoding method and device, a storage medium and decoding equipment, and relates to the field of audio processing. According to the method and the device, the received SPDIF data stream can be directly decoded, and complicated data stream synchronization operation does not need to be executed in advance. According to a traditional decoding method, when digital signals are processed, it is usually needed to firstly ensure that all parts in data streams are strictly aligned in time, that is, data stream synchronization is achieved, the process may involve a complex algorithm and long processing time, the complexity and delay of a system are increased, and decoding failure may be caused by synchronization failure. By directly analyzing the waveform proportion characteristics of the data stream and utilizing a sliding window and waveform proportion matching method, the rapid identification and decoding of the frame header and the frame body are realized. The method does not depend on the absolute time position of each part in the data stream, but decodes based on the physical characteristics of the waveform signal, so that explicit data stream synchronization does not need to be carried out.

The application discloses a cross-limb migration exoskeleton control method, device, equipment, medium and product, relates to the exoskeleton control field, and the method comprises the following steps: acquiring donor limb training data and target limb data, inputting the donor input sample and the target input sample obtained after pretreatment into a cross-limb migration decoding model; the cross-limb migration decoding model carries out channel alignment on the donor input sample and the target input sample on a common lead set, constructs the latent space features of the two samples, and predicts the donor motion intention prediction result according to the donor latent space feature; the cross-limb migration decoding model is trained by using a total loss function; the real-time bioelectric signal data stream of the target limb is input into the trained cross-limb migration decoding model, the motion intention category, the corresponding confidence and the timing consistency index are obtained; an exoskeleton control instruction is output based on the confidence and the timing consistency index, and the motion intention prediction accuracy is improved.

This invention discloses a differential VGA signal decoding and display device, relating to the display field. It includes a signal input module, an ESD protection module, a differential receiving module, a synchronization separation module, an image decoding driver module, a display module, an audio processing module, and a control module. These modules are interconnected and work together to decode, process, and display differential VGA signals. This differential VGA signal decoding and display device solves the problems of short transmission distance, weak anti-interference capability, limited resolution, and high power consumption associated with traditional VGA interfaces. It also achieves full compatibility with traditional VGA devices, integrating audio processing, local playback, intelligent signal enhancement, and remote monitoring and management functions. It achieves reliable conversion from analog to differential signals, supports high-definition display, and has a transmission distance of up to 50 meters, while maintaining full compatibility with traditional VGA devices. This technology is particularly suitable for professional fields such as industrial automation and medical imaging, meeting the diverse display and intelligent operation and maintenance needs of professional scenarios.

The invention provides a wireless communication method and wireless communication equipment for spatial multiplexing. According to the wireless communication method for spatial multiplexing, a piece of title information of a currently received data packet is decoded by a spatial multiplexing (SR) initiating device. Based on the decoding result, the SR initiating device determines to initiate the SR. And the SR initiating device discards the currently received data packet. The SR initiating device sends a virtual preamble signal to the SR response device. And the SR initiating device sends a spatial multiplexing data packet to the SR response device.

The present invention relates to the field of automatic control technology, and in particular, to an automatic tracking and alignment system based on mobile AGV laser communication. It comprises: a laser emitting unit uses pulse position modulation to encode laser signals, and transmits the encoded laser signals to a laser receiving unit; the laser receiving unit receives and decodes the laser signals; an alignment detection unit uses a sensor to monitor the alignment state between the laser transmitter and the receiver in real time, and obtains an alignment error vector; a control unit uses a fuzzy adaptive PID control algorithm based on the alignment error vector to calculate the alignment deviation, and generates an alignment deviation instruction; a mechanical adjustment device automatically adjusts the transmitter position and the receiver position according to the alignment deviation instruction. The automatic tracking and alignment system based on mobile AGV laser communication realizes efficient laser communication by adopting pulse position modulation and time interval measurement technology, and automatically adjusts the alignment angle between the transmitter and the receiver in combination with the fuzzy adaptive PID control algorithm.

The present application relates to the field of computer vision, in particular to the subject matter of video processing and video encoding, and more particularly to a method, decoder, encoder and computer readable medium for video encoding using a machine learning model. According to a first aspect, a method of processing image and / or video data by a decoder is provided. The method includes continuously decoding a plurality of segments of an image or video. For one or more of the plurality of segments, the decoding comprises: decoding a corresponding encoded residual segment to obtain a decoded residual segment; generating predicted segments from respective reference segments using a machine learning model, wherein the respective reference segments are selected from one or more reference segments stored in a set of reference segments; generating a reconstructed fragment based on the prediction fragment and the decoded residual fragment; storing the reconstructed fragment in the reference fragment set; and updating parameters of the machine learning model based on the corresponding reference segments and the reconstructed segments.

The invention discloses a security steganography scheme based on image disturbance adversarial training, which comprises the following steps: determining a secret message, and encrypting the secret message to obtain an encrypted message; constructing an improved distortion function generation framework and performing training to obtain a pre-training model; obtaining a carrier image, and calculating a distortion probability matrix of the carrier image based on the pre-training model; and coding the encrypted message into a carrier image based on the distortion probability matrix and adversarial disturbance to obtain a secret-containing image, and completing safe steganography. According to the method, encryption measures are taken for the secret message, so that the security in the information transmission and storage process is further enhanced; the distortion cost of each image pixel is estimated based on the training model, and is incorporated into the loss function so as to be adaptively superposed on the carrier image, so that the visual quality and the undetectability of the steganographic image can be remarkably improved, improvement is performed from the aspects of safety and the visual quality, and enlightenment and reference are provided for subsequent related research.

The invention discloses a Beidou short message AIS information compression transmission method based on grid coding. The problem of character capacity limitation of AIS information in Beidou short message transmission at present is mainly solved. The method is characterized in that a sea area of a current position of a ship is divided into a plurality of grids, traditional longitude and latitude representation is replaced by grid numbers, and compression of position information is achieved. The invention provides an effective AIS information compression scheme, simple and convenient coding and efficient transmission of ship information are realized, and an innovative solution is provided for application of Beidou short messages in marine multi-ship information transmission.

The invention discloses a two-dimensional layered heterojunction MXene / Bi-based FSTI device and application thereof in man-machine intelligent interaction, the FSTI device comprises a drain electrode, a source electrode, an electrolyte and an isolation layer, the drain electrode material is an MXene / Bi material with a two-dimensional layered heterojunction structure, the source electrode material is an MXene (at) Zn material, the electrolyte is a PVDF-HFP-GO solid electrolyte, and the isolation layer is a CNF isolation layer. The invention provides a mechanically gated and self-powered FSTI device for the first time, and the FSTI device can be used for man-machine intelligent interaction. The FSTI device obtains linearity (99.5%), portability, self-energization, long service life (as high as 50,000 cycles) and millisecond-level response time (66.59 ms) in the aspect of static / dynamic response. By introducing the tactile feedback technology into the man-machine intelligent interaction application facing the manipulator, the manipulator can execute flexible and meticulous operation tasks, so that the method is particularly suitable for man-machine intelligent interaction scenes, and a new solution is provided for popularization and application of artificial intelligence.

The present invention belongs to the field of Manchester decoding, and discloses a Manchester decoding system and a decoding method, wherein the decoding system comprises a system clock, a synchronization unit, a low-level counting unit, a high-level counting unit, a counting storage unit, a counting comparison unit, a maximum value storage unit, a low-level comparison unit, a high-level comparison unit, and a data parsing unit. The decoding system and the decoding method disclosed by the present invention utilize the low-level counting unit, the high-level technical unit, and the counting comparison unit to construct a Manchester decoding system according to the Manchester decoding rule. The system can use a simple and effective digital circuit to parse the communication data, quickly and stably parse the communication data, and output effective decoding data, which can improve the efficiency of the processor chip and increase the use range of peripherals using Manchester coding communication.

This invention relates to the field of well logging technology, specifically to a demodulation device and control method for a traction device's communication signal. It includes a decoding circuit, an amplifier circuit, a demodulator, a second detection circuit, a second microprocessor, and a second controller. The input terminal of the decoding circuit is connected to the FSK signal output terminal of the surface control system; the output terminal of the decoding circuit is connected to the signal input terminal of the amplifier circuit; the signal output terminal of the amplifier circuit is connected to the signal input terminal of the demodulator; the digital signal output terminal of the demodulator is connected to the traction device's central processing unit; the status feedback signal output terminal of the demodulator is connected to the input terminal of the second detection circuit; the output terminal of the second detection circuit is connected to the input terminal of the second microprocessor; the output terminal of the second microprocessor is connected to the input terminal of the second controller; and the control signal output terminal of the second controller is connected to the control signal input terminal of the amplifier circuit. It can automatically adjust the amplification factor according to the signal strength, ensuring communication stability.

The invention relates to the field of communication detection, in particular to a channel detection method for power line carrier communication, which comprises the following steps: setting a plurality of receivers in a communication channel according to random integer multiples of a preset interval by taking a communication source as a reference so as to form a receiver cluster, and transmitting carrier information to a communication master station by the communication source through the communication channel, performing communication test on the receivers, responding to the communication test by each receiver, sending the received test information to the communication master station, determining the receiving characteristics of each receiver, drawing a decoding test chart, fitting the decoding test chart, and comparing the decoding test chart with the carrier information; the setting sequence of the receivers is adjusted according to a comparison result, the setting sequence of the receivers is adjusted according to feedback information of the receivers by comparing a decoding test chart and carrier information, a communication channel is analyzed and adjusted more meticulously, the state of the channel is evaluated accurately, the communication performance is improved, and the user experience is improved. Therefore, the efficiency and reliability of power line carrier communication are improved.

The application provides a high-efficiency covert channel attack and information leakage method based on multiple interrupt driving, which is called Compound-INT. Four stable and controllable interrupt types (rtc0, PMI (Performance Monitor Interrupts), MCP (Machine Check Polls), IWI (IRQ Work Interrupts), and TLB (TLB shootdowns)) are screened out by analyzing the / proc / interrupts interface in an operating system to construct an efficient covert channel. The method supports two transmission modes, single bit and multi-bit. Single bit realizes data coding by controlling the interrupt triggering frequency, and multi-bit combines synchronous and asynchronous transmission modes to improve bandwidth and anti-interference, and adapt to the complex conditions of a multi-core environment. In addition, the application realizes the leakage of the existence state of a target file in a restricted directory by using the PMI interrupt, and speculates the structure information of a deep neural network (DNN) model by using the TLB shootdowns interrupt mode, thereby expanding the application scenarios of the covert channel. Experimental results show that the method has high transmission rate, low error rate and strong robustness, and provides a new idea for the security research of the interrupt mechanism of an operating system.

The application discloses a behavior analysis method, system, device and medium based on multi-modal data. The method comprises the following steps: extracting a behavior label corresponding to each frame of image in animal behavior video data, and constructing a behavior label sequence; aligning a neuron calcium activity time sequence in a standardized neuron calcium activity time sequence dataset with the behavior label sequence, and obtaining an aligned structured data table; taking the aligned neuron calcium activity time sequence as a feature of a node, and constructing a weighted graph structure; training a cascaded graph convolution network, a graph sampling aggregation network and a graph attention network according to the weighted graph structure and the aligned behavior label, and obtaining a trained graph convolution network, a trained graph sampling aggregation network and a trained graph attention network, so as to perform behavior prediction on a neuron calcium ion fluorescence signal value to be predicted, and obtain a behavior prediction result. The application can improve the behavior analysis accuracy.

The invention discloses a bar code decoding chip and method for parallel decoding, electronic equipment and a storage medium. The chip comprises an MCU control unit, an XIP FLASH, a program RAM, a DVP / MIPI interface controller, a core decoding unit and a UART / USB communication interface. The MCU control unit carries out unified scheduling work; the XIP FLASH is used for storing a program operated by the MCU control unit; the program RAM is used for storing a program variable in a running process; the DVP / MIPI interface controller is used for receiving image data transmitted by the CMOS image sensor and transferring the image data to the core decoding unit; the core decoding unit is used for decoding parallel bar codes; and the UART / USB communication interface is used for communication between the bar code decoding chip and an upper computer. According to the invention, the problems that the decoding speed is reduced and a high-mobility adaptive scene cannot be competent due to a serial decoding mode are solved.

The invention discloses an MEI-TID framework under a manifold-Euclidean cross space, which is used for accurately decoding topology-implicit EEG representation of an EEG signal, and comprises the following steps: S1, aggregating sub-topology features by constructing a self-adaptive cluster center strategy on the manifold space; s2, the topology-implicit representation of the EEG signal is decoded in the manifold-Euclidean cross space; and S3, establishing an adaptive calibration mechanism, and decoding. According to the MEI-TID framework provided by the invention, high-precision decoding of the topology-implicit representation of the EEG is realized in a manifold-Euclidean cross space. The framework captures an agnostic implicit topological relation and characterization of EEG signals through a dynamic cluster center strategy on a manifold space, a manifold-Euclidean cross space structure and an adaptive calibration mechanism.

The invention relates to the technical field of traffic, in particular to a locomotive information display method, device and equipment, a storage medium and a computer program.The method comprises the steps that a locomotive state information display page is displayed, and the locomotive state information display page comprises a locomotive video display area and a locomotive state information display area; acquiring locomotive state information of the target locomotive; calling a video receiving and processing module, indicating the video receiving and processing module to pull video stream data of the target locomotive, and generating a video playing window according to the video stream data; displaying the locomotive state information to a locomotive state information display area; and embedding the video playing window into the locomotive video display area. According to the technical scheme, the locomotive state information display page can display the locomotive monitoring video and the locomotive state information at the same time, and the monitoring efficiency is improved.

This invention provides a method and system for receiving SSI protocol data based on SPI, belonging to the field of data transmission. The method includes: configuring a microcontroller to enable its serial peripheral interface to perform data transmission using direct memory access; determining the target number of bytes based on the data acknowledgment response time length of the synchronous serial interface, the total number of effective bytes, and the baud rate of the serial peripheral interface, and determining a synchronization clock signal and data to be transmitted based on the target number of bytes; sending the synchronization clock signal and data to be transmitted to the synchronous serial interface through the serial peripheral interface, while simultaneously receiving data to be decoded sent by the synchronous serial interface, and storing the data to be decoded in a receive buffer; decoding the data to be decoded in the receive buffer when the number of bytes of data to be decoded in the receive buffer equals the target number of bytes. This invention allows the microcontroller to directly receive SSI protocol data, reducing hardware complexity and cost.

The invention discloses a design method based on configurable dual-bus message parallel decoding of a carrier rocket, and the method comprises the steps: firstly, generating bus message decoding configuration files of all levels of the carrier rocket according to a bus communication protocol of the carrier rocket; secondly, creating a plurality of bus message decoding units, binding corresponding rocket stages and bus CPU (Central Processing Unit) numbers, and reading bus message decoding configuration files of the corresponding stages; and finally, creating a bus message receiving unit, associating the bus message receiving unit with the bus message decoding unit with the same series, and establishing a one-to-many data distribution relationship. According to the invention, synchronous decoding of bus messages of all levels on the rocket is realized, and decoding requirements of rockets of different models can be flexibly met.