Abstract: A high anti-interference microsystem based on System In Package (SIP) for a power grid is provided. The high anti-interference microsystem comprises a ceramic cavity, a ceramic substrate, a magnetic cover plate, a digital signal processing circuit, an analog signal conditioning circuit and a shield, wherein the ceramic cavity supports the ceramic substrate, the magnetic cover plate is in sealed contact with the ceramic cavity, and the ceramic substrate is arranged in a cavity formed by the ceramic cavity and the magnetic cover plate; a sealed shell of the microsystem based on SIP is composed of the magnetic cover plate and the ceramic cavity; the digital signal processing circuit and the analog signal conditioning circuit are arranged on the ceramic substrate and respectively process received signals to be processed; the shield covers an outer side of the sealed shell and is used for shielding external magnetic field interference.
Type:
Application
Filed:
August 2, 2023
Publication date:
March 28, 2024
Applicant:
Electric Power Research Institute of State Grid Zhejiang Electric Power Co., LTD
Abstract: A spiking neural network acceleration method includes constructing an approximate computation model according to a spiking neuron model and a spiking coding mode. The approximate computation model utilizes the characteristic that spiking frequency domain coding ignores the time semantics of a spiking sequence, compresses the distribution of spiking signals on a time step, and greatly reduces a spiking routing process and a subsequent neural computation process. The time-driven accelerator replans the computation process of the spiking neural network, sets a deduplication queue and a bitmap to solve the problem of spiking jitter, and realizes efficient support on the inhibitory spiking neural network.
Type:
Application
Filed:
August 1, 2022
Publication date:
July 6, 2023
Applicant:
Electric Power Research Institute of State Grid Zhejiang Electric Power Co., LTD
Inventors:
Rui HAN, Donglian QI, Yunfeng YAN, Chi ZHANG, Yiming ZHENG, Wang LUO, Ping QIAN, Yong ZHANG, Zheren DAI, Jun CHEN, Chao WANG, Lei GONG, Huarong XU