Abstract: A synchronous modulation method based on an embedded player. The method comprises the steps of: Step S1, acquiring a current timestamp adopted by a current synchronous audio signal and a current synchronous video signal; Step S2, acquiring a jump difference value of the current timestamp; Step S3, determining whether the jump difference value is less than a first preset time, if yes, synchronously playing, by the player, the audio signal and the video signal through a first timestamp, and exiting; and Step S4, determining whether the jump difference value is greater than a second preset time, if yes, synchronously playing, by the player, the audio signal and the video signal through a second timestamp, and exiting.

Abstract: The present disclosure provides a lifting device comprising: a telescopic boom, comprising a basic section, at least one primary telescopic section and at least one secondary telescopic section; a telescopic control mechanism, comprising a primary telescopic drive mechanism that controls synchronous telescoping of the at least one primary telescopic section and a secondary telescopic drive mechanism that controls synchronous telescoping of the at least one secondary telescopic section; a torque limiter, comprising a first length sensor and a second length sensor, wherein a first sensor body and a telescopic end of a first length measuring cable of the first length sensor are respectively connected to tails of adjacent two section in the basic section and the at least one primary telescopic section; and a second sensor body and a telescopic end of a second length measuring cable of the second length sensor are respectively connected to tails of adjacent two section in the primary telescopic section adjacent to

Abstract: A method for user mining is provided. The method may include obtaining a plurality of first feature vectors of a plurality of positive samples and a plurality of second feature vectors of a plurality of negative samples, and generating a plurality of expanded first feature vectors based on the plurality of first feature vectors and second feature vectors and expanded second feature vectors. Each first feature vector may include first feature information that describes a plurality of features of a corresponding positive sample. Each second feature vector may include second feature information that describes a plurality of features of a corresponding negative sample. The method may further include determining one or more core features related to the plurality of positive samples among the plurality of features corresponding to the plurality of first feature vectors based on a trained binary model.

Abstract: A method for querying data is provided. The method may include determining a characteristic value of a selected feature dimension among feature values of the selected feature dimension of plurality of entities and establishing a corresponding relationship between the characteristic value and the selected feature dimension. The method may also include caching the corresponding feature value into a cache memory for each entity having a feature value of the selected feature dimension being unequal to the characteristic value, and leaving the corresponding feature value without caching for each entity having a feature value of the selected feature dimension being equal to the characteristic value. The method may further include performing a first search in the cache memory to produce a first search result in response to a query request related to the plurality of entities, and generating a query result based on the corresponding relationship and the first search result.

Abstract: A method for user mining is provided. The method may include obtaining a plurality of first feature vectors of a plurality of positive samples and a plurality of second feature vectors of a plurality of negative samples, and generating a plurality of expanded first feature vectors based on the plurality of first feature vectors and second feature vectors and expanded second feature vectors. Each first feature vector may include first feature information that describes a plurality of features of a corresponding positive sample. Each second feature vector may include second feature information that describes a plurality of features of a corresponding negative sample. The method may further include determining one or more core features related to the plurality of positive samples among the plurality of features corresponding to the plurality of first feature vectors based on a trained binary model.

Abstract: A method for querying data is provided. The method may include determining a characteristic value of a selected feature dimension among feature values of the selected feature dimension of plurality of entities and establishing a corresponding relationship between the characteristic value and the selected feature dimension. The method may also include caching the corresponding feature value into a cache memory for each entity having a feature value of the selected feature dimension being unequal to the characteristic value, and leaving the corresponding feature value without caching for each entity having a feature value of the selected feature dimension being equal to the characteristic value. The method may further include performing a first search in the cache memory to produce a first search result in response to a query request related to the plurality of entities, and generating a query result based on the corresponding relationship and the first search result.

Abstract: A synchronous modulation method based on an embedded player. The method comprises the steps of: Step S1, acquiring a current timestamp adopted by a current synchronous audio signal and a current synchronous video signal; Step S2, acquiring a jump difference value of the current timestamp; Step S3, determining whether the jump difference value is less than a first preset time, if yes, synchronously playing, by the player, the audio signal and the video signal through a first timestamp, and exiting; and Step S4, determining whether the jump difference value is greater than a second preset time, if yes, synchronously playing, by the player, the audio signal and the video signal through a second timestamp, and exiting.

Abstract: The present disclosure provides a lifting device comprising: a telescopic boom, comprising a basic section, at least one primary telescopic section and at least one secondary telescopic section; a telescopic control mechanism, comprising a primary telescopic drive mechanism that controls synchronous telescoping of the at least one primary telescopic section and a secondary telescopic drive mechanism that controls synchronous telescoping of the at least one secondary telescopic section; a torque limiter, comprising a first length sensor and a second length sensor, wherein a first sensor body and a telescopic end of a first length measuring cable of the first length sensor are respectively connected to tails of adjacent two section in the basic section and the at least one primary telescopic section; and a second sensor body and a telescopic end of a second length measuring cable of the second length sensor are respectively connected to tails of adjacent two section in the primary telescopic section adjacent to

Abstract: A method for querying data is provided. The method may include determining a characteristic value of a selected feature dimension among feature values of the selected feature dimension of plurality of entities and establishing a corresponding relationship between the characteristic value and the selected feature dimension. The method may also include caching the corresponding feature value into a cache memory for each entity having a feature value of the selected feature dimension being unequal to the characteristic value, and leaving the corresponding feature value without caching for each entity having a feature value of the selected feature dimension being equal to the characteristic value. The method may further include performing a first search in the cache memory to produce a first search result in response to a query request related to the plurality of entities, and generating a query result based on the corresponding relationship and the first search result.

Abstract: Systems and methods are provided for group tagging. Such system may comprise processors accessible to platform data that comprises a plurality of users and a plurality of associated data fields, and a memory storing instructions that, when executed by the processors, cause the system to perform a method. The method may comprise obtaining a first subset users and associated first tags; determining, respectively for the associated data fields, at least a difference between the first subset users and at least some of the plurality of users; responsive to determining the difference exceeding a first threshold, determining the data field as a key data field; determining data of the corresponding key data fields associated with the first subset users as positive samples; obtaining, based on the key data fields, a second subset users and associated data as negative samples; and training a rule model with the positive and negative samples.