40results about How to "Low hardware resource requirements" patented technology

The invention provides a debugging verification platform and a testing method for a RISC-V processor system, including a processor soft core, which communicates with a RAM storage control module and a UART data control module respectively through a bus module; the The platform also includes a mode control module, which is respectively connected with the RAM storage control module and the UART data control module; the RAM storage control module is connected with a RAM memory; used for code instruction storage and program running; the mode control module A GPIO interface is connected to generate a control signal to the processor soft core to perform system mode transformation according to the input signal of the GPIO interface; the UART data control module is connected with a UART interface; it is used to control switching according to the transformation of the system mode The mode of the UART interface.

A method and system for managing user ports in aggregation links are provided in the present invention. With the method and system, the system management ability for service connection is improved, the capability for service connection is ensured, and the network maintenance is easy to be implemented. The method includes: a transmission device of a sending end informs a transmission device of a receiving end about the status information of a failed user port in a virtual concatenation port group of the sending end; the transmission device of the receiving end shuts down the user port in the transmission device of the receiving end which has a service connection with the failed user port, when learning the failed user port in the virtual concatenation port group at the sending end.

The invention discloses a face image problem skin enhancement method, which uses polarized light technology to take pictures, and calculates skin problems through an image processing method, thereby avoiding skin damage caused by taking pictures with ultraviolet light. At the same time, the method has a small amount of calculation and has low requirements on hardware resources, and can be applied to low-end products (such as embedded devices, tablet computers, etc.). The method can particularly well identify acne, chloasma, sunburn, freckles and age spots.

The present disclosure relates to an object recommendation system, method, device, electronic equipment, and storage medium, and belongs to the field of Internet technology. In the system, multiple storage devices are used to store the sparse features of each account and the embedding data corresponding to the sparse features of each account. parameters, where the sparse features of each account are generated based on the account’s operational behavior data, and the embedding parameters are pre-learned by the prediction model; the reasoning server is used to determine when the conditions for recommending objects to any target account are satisfied, Obtain the sparse features of the target account from the storage device corresponding to the target account, determine the storage device corresponding to the sparse feature according to the preset storage method of the embedded parameters, read the embedded parameters corresponding to the sparse feature from the determined storage device, and then use each sparse The embedding parameters corresponding to the features and the stored network parameters of the prediction model are used to determine the recommendation object of the target account, wherein the network parameters are parameters learned by the prediction model other than the embedding parameters.

The invention provides a bus type network load self-adaptive communication method for realizing load self-adaptive scheduling. The mode switching and the bus polling are realized through a mode flag bit A and a token flag bit B in a MAC frame produced through a network node, a corresponding counter and a related register. By use of the method, a network terminal can be located in a CSMA / CD mode under the high network load, and is located in a virtual token mode under the low network load, so that the network can maintain high throughput under the high network load and maintain the high use rate under the low network load. The mode information and the token information in the method are hidden in the flag bits, and a dedicated information frame is unnecessary to transmit in the bus. The system adopting the method provided by the invention is free from deadlock after the key MAC frame is lost, and problems of high conflict rate under the high load and the low use rate under the low load in the current single bus type scheduling algorithm are overcome at the same time; the data scheduling method under the virtual token model solves the network error problem that the token frame is lost in the existing token ring technology.

The invention discloses a rotating machinery fault diagnosis method based on an optimized structure convolutional neural network. Firstly, the working signal is collected in the normal state and the fault state of the rotating machinery, and then converted into a grayscale image, and the grayscale image and the corresponding fault Labels are used as training samples to train the constructed convolutional neural network; during the working process of the rotating machinery, the working signal is collected and converted into a grayscale image, and input to the trained convolutional neural network for fault diagnosis. The invention converts the acquired working signal of the rotating machinery into a grayscale image, and completes the multi-classification task of the rotating machinery failure through a convolutional neural network.

The invention discloses a non-orthogonal multiple access network security transmission method based on the ARQ protocol. The wireless network includes: a sending node S, N users i, i∈{1,2,...,N}, and An eavesdropping node e, the sending node selects user m and user n to send signal x according to channel conditions, and user m and n demodulate their respective destination signals from signal x, wherein the user m and user n respectively use automatic re- The transmission request technology communicates with the sending node, and the signal power decreases successively for each retransmission. The beneficial effect of implementing the method of the present invention is to enhance communication reliability and reduce information leakage, especially in the case of low power; and it has low requirements on hardware resources, simple operation, easy engineering application, and can be applied to large-scale Internet of Things scenarios.

The present invention discloses a carrier frequency acquisition method and apparatus in which the structure of a transmission frame includes a short training sequence, the method including: delaying a received short training sequence by L sampling points and multiplying the delayed short training sequence with the original short training sequence to obtain a new sequence; delaying the new sequence by D sampling points and conjugate multiplying the delayed new sequence with the original new sequence; accumulating the results of the conjugate multiplication; and evaluating a phase from the result of the accumulation to estimate carrier frequency offset. With the above method, the present invention is capable of greatly improving the acquisition range of carrier frequency offset while requiring a simple set of hardware.