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371results about How to "Reduce data storage" patented technology

Block chain-based information-authenticating and source-tracing method and system

The invention discloses a block chain-based information-authenticating and source-tracing method. The method comprises the steps of (1) acquiring the copy of the original information to be issued by an original information publishing end; (2) generating the hash value of the copy and picking the content information of the copy at the same time; (3) creating the first transaction information based on the content information of the copy and the hash value of the copy; (4) writing the first transaction information into a center database and a block chain, or writing the first transaction information into the block chain; (5) acquiring the transshipment information released by a information transshipment end, and generating the hash value of the transshipment information; (6) comparing the hash value of the transshipment information with the hash value of the copy; if the two hash values are the same, returning a first voucher for representing the information to be true or non-tampered; if the two hash values are not the same, not returning the first voucher or returning a second voucher for representing the information to be not true or tampered. The invention further discloses a corresponding system. According to the invention, the information authentication and the source tracing can be reliably realized.
Owner:ZHONGAN INFORMATION TECH SERVICES CO LTD

Full-face vehicular detection method for railway tunnel lining and device

A full-face vehicular detection method for a railway tunnel lining and a device aim to avoid collision of ground penetrating radar antennas with an overhead line system and a support of the overhead line system, the detection speed is a normal running speed of a train, the antennas in full-face detection are not interfered with each other, automatic positioning is realized during detection, only ground penetrating radar signals in a tunnel need to be acquired, and a penetrating radar signal processing and analyzing method in tunnel detection is modified. The vehicular device comprises a six-channel high-speed scanning penetrating radar, a positioning portion, a laser ranging portion and data acquisition and processing software. The pulse repetition frequency of the ground penetrating radar is 3MHz, the pulse repetition frequency of each channel is 500kHz, and the scanning rate is 976scan/s. The ground penetrating radar is provided with TEM (transverse electric and magnetic field) short-horn air coupled antennas, each group of antennas realizes a double-transmission and single-receiving function, and the center frequency of the antennas is 300MHz. The ground penetrating radar antennas are mounted outside passenger train connectors, radiation surfaces of the antennas respectively face to an arch crown, arch springing and side walls, and the full-face vehicular detection method and the device are used for automatically detecting to exam the railway tunnel lining.
Owner:SOUTHWEST JIAOTONG UNIV

Single-channel real-time noise reduction method based on convolutional recurrent neural network

The invention discloses a single-channel real-time noise reduction method based on the convolutional recurrent neural network, a single-channel real-time noise reduction device based on the convolutional recurrent neural network, an electronic device and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: extracting acoustic features from received single-channel voice signals, carrying out iterative operation on the acoustic features in a pretrained convolutional recurrent neural network model, thus the specific value film of the acoustic features is calculated, carrying out masking on the acoustic features by adopting the specific value film, and synthesizing the acoustic features after masking and the phase positions of the single-channel voice signals, thus obtaining voice signals. For the single-channel real-time noise reduction method based on the convolutional recurrent neural network and the single-channel real-time noisereduction device based on the convolutional recurrent neural network, the parameter number of the neural network can be reduced, the data storage amount and the demand for the system data bandwidth can be reduced, and the real-time property of the single-channel noise reduction is greatly improved while the good noise reduction property is realized.
Owner:ELEVOC TECH CO LTD
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