Abstract: A system for unsupervised deep representation learning based on image translation is provided. The system includes an image translation transformation module used for performing a random translation transformation on an image and generating an auxiliary label; an image mask module connected with the image translation transformation module and used for applying a mask to the image after translation transformation; a deep neural network connected with the image mask module and used for predicting an actual auxiliary label of the image after the mask is applied and learning the deep representation of the image; a regression loss function module connected with the deep neural network and used for updating parameters of the deep neural network based on a loss function; and a feature extraction module connected with the deep neural network and used for extracting the representation of the image.

Abstract: A multi-modal adaptive fusion deep clustering model based on an auto-encoder includes an encoder structure, a multi-modal adaptive fusion layer, a decoder structure and a deep embedding clustering layer. The encoder is configured to enable a dataset to be respectively subjected to three types of nonlinear mappings of the auto-encoder, a convolutional auto-encoder and a convolutional variational auto-encoder to obtain potential features, respectively. The multi-modal adaptive feature fusion layer is configured to fuse the potential features into a common subspace in an adaptive spatial feature fusion mode to obtain a fused feature. The decoder is configured to decode the fused feature by using a structure symmetrical to the encoder to obtain a decoded reconstructed dataset. The deep embedding clustering layer is configured to cluster the fused feature Z and obtain a final accuracy ACC by comparing a clustering result with a true label.

Abstract: Embodiments of the present disclosure provide a message pushing method for a virtual gift and an electronic device. The method includes: when a virtual gift is received in a live broadcast room, determining a live broadcast room area to which a notification message is pushed, where the notification message is used to inform all live broadcast rooms in the live broadcast room area that the virtual gift is received; and pushing the notification message to the live broadcast room in the live broadcast room area respectively. The embodiments of the present disclosure implement rich methods for posting notification information about the receipt of the virtual gift, thereby improving user experience.

Abstract: A data management system is disclosed for data provenance and data storage that allows multiple independent parties (who may not trust each other) to securely share data, track data provenance, maintain audit logs, keep data synchronized, comply with regulations, and handle permissioning and control who can access the data. The system leverages security guarantees derived from the computer systems already trusted to control billions of dollars of Bitcoin and Ethereum cryptocurrencies to create a secure and completely auditable system of document tracking that can be shared among untrusted parties over a computer network. Certain instances work both with public blockchains like Bitcoin and Ethereum and with private blockchains.

Abstract: A data management system is disclosed for data provenance and data storage that allows multiple independent parties (who may not trust each other) to securely share data, track data provenance, maintain audit logs, keep data synchronized, comply with regulations, and handle permissioning and control who can access the data. The system leverages security guarantees derived from the computer systems already trusted to control billions of dollars of Bitcoin and Ethereum cryptocurrencies to create a secure and completely auditable system of document tracking that can be shared among untrusted parties over a computer network. Certain instances work both with public blockchains like Bitcoin and Ethereum and with private blockchains.

Abstract: A method for processing Ethernet ring messages and a corresponding Ethernet ring protection system are provided. The method comprises distinguishing a message to be processed by processors of transit nodes from that not to be processed by the processors of the transit nodes, and setting a distinguishing identifier when constituting a message; after receiving the message, the transit node forwarding the message not to be processed by the processor thereof to other nodes, or sending the message to be processed by the processor of the transit node to other nodes and meanwhile reporting the message to its processor depending on the distinguishing identifier; the system comprises a master node and transit nodes which generates messages with the distinguishing identifier and performs different process for these messages according to the distinguishing identifier.

Abstract: A method for processing Ethernet ring messages and a corresponding Ethernet ring protection system are provided. The method comprises distinguishing a message to be processed by processors of transit nodes from that not to be processed by the processors of the transit nodes, and setting a distinguishing identifier when constituting a message; after receiving the message, the transit node forwarding the message not to be processed by the processor thereof to other nodes, or sending the message to be processed by the processor of the transit node to other nodes and meanwhile reporting the message to its processor depending on the distinguishing identifier; the system comprises a master node and transit nodes which generates messages with the distinguishing identifier and performs different process for these messages according to the distinguishing identifier.