Alibaba Group Holding Limited

State Grid Zhejiang Electric Power Company Limited Electric Power Research Institute

Xiang Sun

Chen Li

Ping Qian

Yiming Zheng

Jiangyang Zhan

Wenlin He

Xianjun Shao

Xiaoxin Chen

Haojun Liu

Haibao Mu

Huibin Tao

A transformer bushing partial discharge monitoring chip device and method are provided. An acquisition unit comprises three sensor modules installed at end screens of three-phase bushings of a transformer respectively for acquiring partial discharge signals and power frequency current signals from the transformer bushing end screens; each of the sensor modules is connected to an SIP digitization unit through a wire; the SIP digitization unit is fixedly installed beneath a base of the acquisition unit for digitizing the partial discharge signals and the power frequency current signals; an output end of the SIP digitization unit is connected to an input end of a background processing terminal.

Transformer bushing partial discharge monitoring chip device and method

The present disclosure provides a technique of text categorization to simplify and optimize the classification. In one aspect, a method parses a given text into one or more words; determines a word vector in a spherical space model for one of the one or more words, a number of dimensions of the spherical space being equal to a number of categories, each category corresponding to a spherical space category vector; for each category, determines a distance between a sum of word vectors of the one or more words and the respective category vector; and classifies the text into one or more categories with the shortest distance. The present disclosure also provides an apparatus used to implement the method.

Method and apparatus of text classification

Recognition of numerical characters is disclosed, including: extracting a subimage from a received image comprising information pertaining to a plurality of numerical characters, wherein the extracted subimage is associated with one of the plurality of numerical characters; and performing recognition based at least in part on a set of topological information associated with the subimage, including: processing the subimage to obtain the set of topological information associated with the subimage; comparing the set of topological information associated with the subimage with a preset set of stored topological information; determining that in the event that the set of topological information associated with the subimage matches the preset set of stored topological information, the subimage is associated with a recognized numerical character associated with the preset set of stored topological information.

Recognition of numerical characters in digital images

The present disclosure discloses simplified text classification with improved classification accuracy. The content of receive text is segmented to obtain multiple words. A sum of word vectors of the multiple words at a first level vector space of a vector space group is determined. A vector space in the vector space group is composed of one or more direct child classes that are non-leaf child classes in a tree class structure. The text is classified into a class among various class of the first level vector space that has a shortest distance to the sum of the word vectors.

Method and system for text classification

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Hangzhou, China

Xiang Sun