8results about How to "Improve computing speed" patented technology

The present disclosure provides a multi-unmanned vehicle target encirclement method based on MPC-APF control, which comprises the following steps: step 1: taking a rear axle-centered single vehicle model as a kinematics model, and constructing a vehicle motion state equation; step 2: establishing an artificial potential field APF in an environment, including a road boundary line APF and an obstacle APF; the obstacle APF is constructed by fusing the artificial potential field effects of the same direction and reverse motion obstacle vehicles on the unmanned vehicle; step 3: converting the target encirclement problem into a dynamic trajectory tracking problem, adding an APF penalty term designed based on an artificial potential field in an optimization objective function, and tracking and controlling a dynamic target trajectory by using model predictive control MPC according to the vehicle motion state equation. The present application can realize the encirclement of a dynamic target in a road environment with dynamic obstacles and avoid collisions with other social vehicles.

This application provides an image filtering method, apparatus, device, storage medium, and program product, relating to the field of image processing technology. The method includes: shifting data in a filtering data buffer unit according to the filtering sliding direction of an image filtering unit, wherein the filtering data buffer unit and the image filtering unit are of the same size; updating the data in the filtering data buffer unit based on current pixel data and historical pixel data in the acquired image data stream; acquiring the updated data in the filtering data buffer unit; filtering the updated data in the filtering data buffer unit using the image filtering unit; and outputting the filtered image data. This application provides a technical solution that reads each pixel data in an image only once and can continuously perform image filtering processing.

The application discloses a prime number field elliptic curve password co-processor, which comprises a register module, a NAF encoding module, an operation module and a controller module; wherein the operation module comprises a modular multiplier unit, a modular squarer unit, a first modular adder unit and a second modular adder unit; the modular multiplier unit is connected with the first modular adder unit and the second modular adder unit and constitutes a three-stage pipeline structure to perform modular multiplication operation; the modular squarer unit is connected with the first modular adder unit and the second modular adder unit and constitutes a three-stage pipeline structure to perform modular squaring operation; the modular multiplier unit and the modular squarer unit operate in parallel, which can accelerate the operation rate, realize higher performance, and achieve the best trade-off between area and performance, and is very suitable for high-speed encryption and decryption application. The application can be widely applied to the technical field of information security.

The invention relates to a data transmission protection method and device for a hardware state cryptographic algorithm based on an SRTP protocol, belongs to the technical field of communication, and solves the problems that an open source soft algorithm used by the SRTP protocol in the prior art is relatively low in security, consumes too much CPU and is low in cryptographic operation efficiency. The method comprises the following specific steps: a video conference terminal A processes an input image by using a media processing module to obtain a plurality of original RTP data packets, and sends the original RTP data packets to an SRTP processing module of the video conference terminal A through asynchronous communication; the SRTP processing module encapsulates each original RTP data packet into an RTP data packet with a customized data structure, and sends the RTP data packet to the cryptographic device Ta; the cryptographic device Ta performs encryption authentication calculation based on an SM4 cryptographic algorithm and an SM3 authentication algorithm, and transmits an encrypted RTP data packet back to the SRTP processing module; and the SRTP processing module encapsulates the returned data into an SRTP data packet, returns the SRTP data packet to the media processing module again through asynchronous communication, and then transmits the SRTP data packet to the video conference terminal B, so that the security and integrity of video data transmission are realized.

The application relates to a speaker recognition method based on a reparameterization cross-parallel convolutional neural network, and belongs to the field of speech recognition, and comprises the following steps: S1, constructing a structure reparameterization convolutional network RepCNN; S2, building a cross-parallel convolutional neural network based on the RepCNN; S3, extracting two features with different frequency domain resolutions from speech frames of a speaker by adopting two mel filter banks with different numbers of triangular filters; S4, taking the two features as inputs of the cross-parallel convolutional neural network, outputting enhanced features and S5, performing feature fusion on the two features, and outputting a speaker deep feature vector. The application reduces the dependence of the model on computing resources, improves the operation rate and accuracy of the model, and realizes the lightweight of the network model.

This application provides a training method, processing method, apparatus, and device based on an image processing model, comprising: acquiring a training image; inputting the training image into a preset initial model; performing convolution processing on the training image based on a first convolution kernel of a convolutional layer in the initial model to obtain a first output vector; and performing convolution processing on the training image based on a second convolution kernel of a convolutional layer in the initial model to obtain a second output vector; and determining a third convolution kernel based on the first and second output vectors to obtain an image processing model with a third convolution kernel. This application achieves improved expressive power of the convolutional layer with a third convolution kernel while maintaining the same computational speed and resource consumption, enabling the convolutional layer to analyze target data from multiple perspectives and obtain more accurate analysis results.

The present application belongs to the technical field of computer vision, and discloses a mine car safety detection method based on multi-camera linkage, and the specific technical scheme is: six modules including a video data acquisition module, a data preprocessing module, a mine car safety behavior detection module, a multi-camera linkage module, an audible and visual voice alarm module and a data transmission module, and the six modules work cooperatively to realize efficient tracking of the mine car, the present application realizes mine car safety detection based on multi-camera linkage tracking, through installation of multiple cameras and realization of linkage, the mine car and the surrounding environment can be monitored in real time, the running state of the mine car and the surrounding situation are monitored, abnormal conditions are found in time, and thus the risk of accidents is greatly reduced; through real-time monitoring and analysis of the behavior mode of the mine car, potential safety hazards can be quickly identified, once an emergency occurs, the system immediately notifies relevant personnel, emergency measures are taken in time, and the safety of mine operation is improved.

The application provides a switch frequency determination method and device for an LCC resonant converter, the method comprising: obtaining an input voltage and an output voltage of the LCC resonant converter; determining a starting mode in which the LCC resonant converter is currently located by using the output voltage; determining a calculation program corresponding to the starting mode by using the starting mode in which the LCC resonant converter is currently located, wherein the calculation program is an operation logic program designed for the starting mode by using a field programmable logic gate array; inputting the input voltage and the output voltage into the field programmable logic gate array, and calculating the switch frequency of the LCC resonant converter by using the calculation program, so that the switch frequency determination method improves the adjustment rate of the switch frequency of the LCC resonant converter, the rising speed of the output voltage, and further improves the dynamic response speed of an existing power supply.