Montage Lz Technologies (chengdu) Co., Ltd.

Huawei Technologies Co., Limited

Southwest Petroleum University

Gang Hu

Taibo Dong

Xuepeng Wang

Fan Zhang

Gong Zhang

Qingyou Liu

Guorong Wang

Lin Zhong

Zhuo Cheng

Chuan Wang

Yingying Cheng

Zheng Zhang

Gang Wei

Linyan Chen

Xia He

Zhichao Li

Xiaolong Wu

Zixuan Wang

A textured surface of oil and gas equipment includes a first substrate, an antiwear coating, and a second substrate, and further includes a texture, where the texture includes a first texture and/or a second texture; the first substrate and the second substrate are capable of moving relative to each other when operating, the first texture is arranged on a surface of the first substrate that is in contact with the antiwear coating, the second texture is arranged on a surface of the antiwear coating that is in contact with the second substrate. A method for machining the textured surface of oil and gas equipment is provided, which improves various performances of the oil and gas equipment such as antifriction, wear resistance, and corrosion resistance by combining a coating with a texture, so as to prolong the service life of the oil and gas equipment, increase oil and gas production efficiency.

Textured surface of oil and gas equipment and machining method thereof

This application discloses a data processing method. A first apparatus obtains a first feature of a first data block in storage space. The first feature includes a read/write feature related to the first data block and a read feature of a second data block adjacent to the first data block. The first apparatus inputs the first feature into an access frequency prediction model, to obtain access frequency of the first data block. The access frequency of the first data block is used to determine a type of the first data block. To be specific, in embodiments of this application, future access frequency of the first data block is predicted by using a multidimensional feature of the first data block (the read/write feature of the first data block and a read feature of an adjacent data block).

Data processing method, apparatus, and system of access frequency prediction based on first block and block adjacent to the first block

This application relates to a method for training a speech recognition model comprising: providing a speech training data set comprising a plurality of speech data items and corresponding speech tags; providing a speech recognition model to be trained comprising a convolution neural network, a first fully connected network, a recurrent neural network and a second fully connected network which are cascade coupled together, wherein each of the networks comprises one or more network layers each having a parameter matrix; and the speech recognition model processing speech data items to generate corresponding speech recognition results; and using the speech training data set to train the speech recognition model such that the parameter matrices of at least two adjacent network layers satisfies a predetermined constraint condition; and the speech recognition model trained using at least one loss function can generate speech recognition results at an accuracy satisfying a predetermined recognition target.

Method for training a speech recognition model and method for speech recognition

A beam generator, a beam generating method, and a chip are provided. The beam generator comprises a first channel, a second channel, and a signal merging module; the first channel comprises a first-channel filter, the first-channel filter is used to filter an input signal to obtain a first filtered signal; the first filtered signal comprises a desired signal; the second channel comprises: a second-channel blocking module, used to block the desired signal in the input signal to obtain a blocked signal; a compensation filter, connected to the second-channel blocking module for compensating for the blocked signal to obtain a second filtered signal; and an adaptive filter connected to the compensation filter for adaptively filtering the second filtered signal to obtain a third filtered signal; the signal merging module is for merging the first filtered signal and the third filtered signal to obtain an output signal.

Beam generator, beam generating method, and chip

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Chengdu, China

Gang Hu