Samsung Electronics Co., Ltd.

Chinese Academy of Agricultural Sciences

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Bo Zhu

Xue Feng Gao

Yan Chen

Yingying Jiang

Yunfeng Liu

Xiaobing Wang

Xiaoyan Lou

Sunan Deng

Yuanqing Wang

Hanchao Jia

Haixiao Liu

Junya Li

Luman Ma

Lupei Zhang

Lingyang Xu

Zezhao Wang

Wentao Cai

Huijiang Gao

Disclosed are a genomic mating method for Huaxi cattle based on whole genome single nucleotide polymorphism (SNP) information and an application thereof. The method includes the following specific steps: step 1, extracting deoxyribonucleic acid (DNA) from to-be-hybridized Huaxi cattle individuals for genotyping; step 2, performing genotype data imputation to obtain high-density chip data; step 3, calculating an additive genetic relationship matrix, utilizing genomic best linear unbiased prediction (GBLUP) to obtain genomic estimated breeding values of five important economic traits of a to-be-hybridized Huaxi cattle population, and calculating a comprehensive selection index of the individuals; and step 4, using a genetic algorithm to construct a population optimal mating combination list. In the present invention, the breeding cost is greatly saved and an inbreeding level of offspring populations is reduced.

Genomic mating method for Huaxi cattle based on whole genome single nucleotide polymorphism information and application thereof

Embodiments of the present disclosure provides a device control method, an apparatus, an electronic device, and a computer readable storage medium, the method including: acquiring a device control instruction input by a user, acquiring at least one of user information, environment information, and device information, and controlling at least one target device to perform a corresponding operation based on the acquired information and the device control instruction. The embodiments of the present disclosure implement the safe and convenient control of a smart device to perform corresponding operations.

Method and apparatus for controlling smart device to perform corresponding operations

A video generation method includes obtaining action clips into which source videos are split, through action recognition with respect to the source videos, selecting target clips from among the action clips, based on correlation between clip features of at least some of the action clips and an intention feature extracted from a video generation request, and generating a target video by combining at least some of the target clips.

Video generation apparatus and video generation method performed by the video generation apparatus

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Beijing, China

Bo Zhu