13results about How to "Improve computing speed" patented technology

The invention relates to the technical field of electric power fault detection, and discloses a fault monitoring system and method based on an electric power acquisition terminal, and the method comprises the steps: constructing a non-linear relation between the power consumption and the temperature through analyzing the historical power consumption data of a user and the weather temperature; the method comprises the following steps: dividing a user electricity consumption day into a plurality of time periods, and setting a time interval threshold value; and in each time period, data are acquired through the electric power and temperature acquisition devices, an electric quantity and temperature scatter diagram is constructed, and nonlinear data fitting is carried out. Thirdly, the similarity between the temperature nonlinear relational expressions of different time periods is calculated, the time periods are divided into sets, and a temperature retrieval set is established; and searching a corresponding electric quantity relation set by matching the temperature nonlinear relational expression of the user in the current time period, and judging whether electric power fluctuation and fault exist or not according to the priority ranking and the relation similarity.

The invention belongs to the technical field of video monitoring, and particularly relates to a video monitoring platform software and hardware encryption and decryption method based on a dynamic strategy. The platform comprises multiple modules such as an equipment access module, an AS superior module and a streaming media module. And after the front-end equipment initiates the connection, the platform dynamically selects hardware or software for encryption and decryption according to the access quantity, the server performance and the like. For hardware encryption and decryption, signature verification and data processing are carried out through a cipher machine, and a key is managed; and software encryption and decryption call library function operation. After the equipment is registered and online, all the modules cooperate, the platform continuously monitors the equipment state, and the system and the encryption and decryption mode can be re-evaluated in case of abnormity. The method solves multiple problems in the prior art, has the advantages of flexible configuration, excellent performance, good certificate management, fast operation, high security and the like, and is of great significance in the field of video monitoring security.

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 invention discloses a secondary radar direction finding method and system based on spatial spectrum estimation, a terminal and a medium, and relates to the technical field of radar detection, and the technical scheme is characterized in that an information source transmitting signal received by a receiving antenna array is preprocessed to obtain a baseband I / Q signal; correcting and compensating the baseband I / Q signal according to the amplitude and phase difference of the receiving channel corresponding to the transmitting signal of the receiving signal source to obtain a corrected signal; carrying out initial direction finding on the correction signal by adopting a DBF to obtain an initial direction range of the correction signal; determining an information source number according to the correction signal; and carrying out direction finding operation on the signal source number and the initial direction range of the correction signal by adopting a MUSIC algorithm to obtain a secondary radar direction finding result. According to the method, the precision of secondary radar direction finding can be effectively improved, the calculated amount is low, and the operation rate is high.

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.

The invention relates to the technical field of metal laser 3D printing manufacturing, in particular to a rapid printing method based on self-adaptive honeycomb zoning, which comprises the following steps: analyzing a printed part finished product through stress simulation software to obtain a stress distribution diagram of a to-be-printed area; honeycomb partitions with the same honeycomb unit size are constructed in the same printing coordinate system to cover the to-be-printed area; based on the stress distribution diagram of the to-be-printed area, honeycomb unit size self-adaptive adjustment is carried out on honeycomb subareas with the same honeycomb unit size of the printing area; and obtaining a printed piece based on the self-adaptive honeycomb partition as a printing track. According to the method, the sizes of the honeycomb units of the honeycomb subareas are adaptively adjusted, so that the stress of a large stress area is reduced, and the stress of each area of a workpiece is relatively average; meanwhile, the number of honeycomb partitions in a low-stress area is reduced, and the defect that the printing speed is low in traditional chessboard scanning or honeycomb scanning is overcome.

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.

The present application relates to the field of SAR image restoration, and specifically discloses a method, device and medium for repairing holes in SAR images, wherein the method comprises: directly orthorectifying the target data after preprocessing to obtain an initial SAR orthophoto; performing image segmentation and filtering on the initial SAR orthophoto to segment and repair the first hole in the initial SAR orthophoto to obtain an intermediate orthophoto; performing image segmentation and image restoration algorithms on the intermediate orthophoto to segment and repair the second hole in the intermediate orthophoto, thereby obtaining a target SAR orthophoto after hole restoration. First, small holes are repaired to ensure the original information of the SAR image data and to improve the computing speed. Then, large holes are repaired, the image background value is automatically excluded, and the large hole mask is extracted for repair, thereby avoiding manual participation in drawing the mask.