Abstract: The application relates to a method and a system for accelerating a recurrent neural network based on a Cortex-M processor, and a medium. The method comprises: setting MCR instructions and a CDP instruction according to common basic operators of the recurrent neural network, the common basic operators comprising a matrix multiplication operator, a vector arithmetic operator, a sigmoid activation operator, a tanh activation operator and a quantization operator; configuring an internal register of a recurrent neural network coprocessor through the MCR instructions; and enabling the common basic operators of the recurrent neural network through the CDP instruction on the basis of the configured internal register.

Abstract: The application relates to a method and a system for accelerating a recurrent neural network based on a Cortex-M processor, and a medium. The method includes: setting a MCR instruction and a CDP instruction according to common basic operators of the recurrent neural network, the common basic operators including a matrix multiplication operator, a vector arithmetic operator, a Sigmoid activation operator, a Tan h activation operator and a quantization operator; configuring an internal register of a recurrent neural network coprocessor through the MCR instruction; and enabling the common basic operators of the recurrent neural network through the CDP instruction on the basis of the configured internal register.

Abstract: The application relates to a convolutional neural network acceleration method and system based on a Cortex-M processor, and a medium. The method comprises: setting a MCR instruction and a CDP instruction according to common basic operators of a convolutional neural network, the common basic operators comprising a convolution operator, a Relu activation operator, a pooling operator, a table look-up operator and a quantization operator; and configuring an internal register of a convolutional neural network coprocessor through the MCR instruction, and then enabling the common basic operators of the convolutional neural network through the CDP instruction. Through the application, problems of inefficiency, high cost and inflexibility of a cyclic neural network algorithm in the execution of a processor are solved, and the basic operators needed for the cyclic neural network to be executed through a coprocessor instruction set are realized.

Abstract: A method, an apparatus, and a device for detecting abnormality of an electric signal. The method includes: sampling the electric signal at each of sampling points in unit sampling intervals, to obtain a sampling value; counting abnormal sampling points within each of the unit sampling intervals to acquire a quantity of abnormal points, where each of the abnormal sampling points is one of the sampling points at which the sampling value is out of a threshold range of the electric signal; determining each of the unit sampling intervals, within which the quantity of abnormal points is larger than a quantity-of-abnormal-point threshold, to be an abnormal unit sampling interval; counting the abnormal unit sampling intervals that are consecutive, to acquire a quantity of consecutive abnormal intervals; and determining that the electric signal is abnormal, in response to the quantity of consecutive abnormal intervals being greater than a quantity-of-abnormal-interval threshold.

Abstract: A phase correction circuit, a phase correction method and an electric energy metering device are provided. The phase correction circuit includes a reference voltage circuit and a current correction circuit. The reference voltage circuit includes a first predetermined number of first delay D flip-flops and a first synchronization D flip-flop. The current correction circuit includes a second predetermined number of second delay D flip-flops, a second synchronization D flip-flop and a data selector. The data selector outputs a current signal of one of the second delay D flip-flops to the second synchronization D flip-flop. The second predetermined number is greater than or equal to the first predetermined number. In a case that the second predetermined number is equal to the first predetermined number, each of the second predetermined number and the first predetermined number is greater than 1.

Abstract: An Internet of Things (IOT), a communication method, a bridge device and an access device for the IOT are disclosed. The method is applied to the bridge device for the IOT, and includes: receiving, by the bridge device, data information carrying a specified identification sent from an IOT access device; searching for, by the bridge device, a power consumption device in the IOT corresponding to the specified identification; determining, by the bridge device, whether the power consumption device and the IOT access device support the same communication mode and communication protocol; converting, by the bridge device, the data information into data information which is identifiable to the power consumption device, in the case that it is determined that the power consumption device and the IOT access device support different communication modes and communication protocols; and sending, by the bridge device, the converted data information to the power consumption device.

Abstract: An Internet of Things (IOT), a communication method, a bridge device and an access device for the IOT are disclosed. The method is applied to the bridge device for the IOT, and includes: receiving, by the bridge device, data information carrying a specified identification sent from an IOT access device; searching for, by the bridge device, a power consumption device in the IOT corresponding to the specified identification; determining, by the bridge device, whether the power consumption device and the IOT access device support the same communication mode and communication protocol; converting, by the bridge device, the data information into data information which is identifiable to the power consumption device, in the case that it is determined that the power consumption device and the IOT access device support different communication modes and communication protocols; and sending, by the bridge device, the converted data information to the power consumption device.