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183results about How to "Simple instructions" patented technology

Convolutional neural network hardware acceleration device, convolution calculation method, and storage medium

The invention relates to a convolutional neural network hardware acceleration device, a convolution calculation method, and a storage medium. The device comprises an instruction processing unit, a hardware acceleration module and an external data memory unit, wherein the instruction processing unit decodes an instruction set to execute a corresponding operation so as to control the hardware acceleration module; the hardware acceleration module comprises an input caching unit, a data operation unit and an output caching unit, wherein the input caching unit executes the memory access operation of the instruction processing unit, and stores data read from the external data memory unit; the data operation unit executes the operation execution operation of the instruction processing unit, processes the data operation of the convolutional neural network, and controls a data operation process and a data flow direction according to an operation instruction set; the output caching unit executesthe memory access operation of the instruction processing unit, and stores a calculation result which is output by the data operation unit and needs to be written into the external data memory unit;and the external data memory unit stores a calculation result output by the output caching unit and transmits data to the input caching unit according to the reading of the input caching unit.
Owner:NATIONZ TECH INC

Real-time monitoring device for pavement paving thickness and ironing vibration frequency

The invention belongs to the field of road construction quality control, and provides a device which can be used for automatically monitoring the pavement paving thickness and ironing vibration frequency of a highway with high precision in real time. The device can be used for achieving real-time measurement on the pavement paving quality, can also be used for remotely sending measurement information to a database for follow-up quality evaluation application, ensures that the paving quality can meet design requirements, can perform real-time alarm on substandard conditions, and ensures that a statistical diagram is formed to be taken as the basis for relevant departments to carry out the paving quality management. Therefore, the device adopts a technical scheme as follows: a real-time monitoring device of the pavement paving thickness and ironing vibration frequency comprises a paving thickness and ironing vibration measurement device, a GPS real-time positioning device, an integrated controller and a data wireless transmission device (DTU), wherein the paving thickness and ironing vibration measurement device comprises a steel-made bracket, an inclined moving beam, a rubber wheel, an acceleration transducer and two tilt angle sensors. The device provided by the invention can be mainly applied to road construction quality control.
Owner:TIANJIN UNIV

Transformer substation acoustic signal feature extraction method based on MFCC

The invention discloses a transformer substation acoustic signal feature extraction method based on MFCC, and belongs to the field of monitoring. The method comprises the following steps: performing acoustic signal preprocessing, fast Fourier transform, Mel filter bank and logarithm DCT operation on a transformer acoustic signal in sequence, and extracting the characteristic quantity of the transformer acoustic signal; wherein the preprocessing comprises two steps of framing and windowing; converting the time domain signal into a frequency domain through fast Fourier transform, and calculatingan amplitude spectrum and spectral line energy of each frame; enabling the Mel filter bank to calculate energy for each frame of spectral line energy spectrum through the filter bank; carrying out logarithm DCT operation to obtain logarithms of the energy values, calculating an energy matrix and identifying the fault type in a fuzzy clustering or neural network mode. Distinguishing is carried outthrough timbre, extracted feature vectors have obvious difference, the operation speed is high, and the operation cost of a computer can be reduced; and the feature vectors are classified and markedby using a support vector machine algorithm, so that discrimination speed is high, accuracy is high and instruction is simple. The method can be widely applied to the field of operation monitoring andfault judgment of unattended substations.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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