Abstract: A display system and an operation method for the display system are provided. The display system includes a first display and a second display. The first display includes a first input port and a first output port. The second display includes a second output port, a detection circuit, a processor, and a connection prompt circuit. The detection circuit drives the second output port in response to the driving signal. The processor receives the detection signal on the second output port, and determines a connection state of the second output port according to a level of the detection signal. The connection prompt circuit controls the second display to output a connection prompt image according to the connection state.

Abstract: A shower includes an inlet tank, a first electromagnetic valve, a mixing tank, and a second electromagnetic valve. One end of the inlet tank is provided with an inlet pipe used for communicating with an external water source, the inlet tank, the first electromagnetic valve, the mixing tank, are communicated with the second electromagnetic valve in sequence, the second electromagnetic valve is provided with an outlet pipe; an air pump, one end of which is communicated with the mixing tank, and another end is communicated with the exterior; a liquid pump and a storage tank, the first electromagnetic valve can communicate with or close the inlet tank and the mixing tank, and the second electromagnetic valve can open or close the outlet pipe. The shower gel or the shampoo enter into the mixing tank through two separate pipelines to avoid the mixing of scents.

Abstract: Disclosed is an image processing method including steps of obtaining a plurality of sets of training data, each set of training data containing data of first and second images, image quality of the second image being higher than that of the first image, shooting contents of the first image being the same model, letting the data of the first image be an input of the model, and utilizing the plurality of sets of training data to train the model until a difference feature value between an output of the model and the data of the second image is minimum; and inputting data of a third image to be processed into the model so as to output data of a fourth image after image enhancement, image quality of the fourth image being higher than that of the third image.

Abstract: New and efficient protocols are provided for privacy-preserving machine learning training (e.g., for linear regression, logistic regression and neural network using the stochastic gradient descent method). A protocols can use the two-server model, where data owners distribute their private data among two non-colluding servers, which train various models on the joint data using secure two-party computation (2PC). New techniques support secure arithmetic operations on shared decimal numbers, and propose MPC-friendly alternatives to non-linear functions, such as sigmoid and softmax.

Abstract: A system for load identification in collaboration with a cloud end includes: a smart Internet of Things electricity meter module, used for matching extracted feature quantity data with a first load feature library of the smart Internet of Things electricity meter module, and determining load feature data corresponding to unmatched feature quantity data in the feature quantity data as target load feature data; a use information front-end/acquisition module, used for calling the target load feature data and transmitting the target load feature data to a main station load identification module; and a main station load identification module, used for receiving the target load feature data, performing data direction processing on the target load feature data, determining an optimal matching strategy matching the feature data to be identified, and identifying an optimal matching solution corresponding to the feature quantity data to be identified in a second load feature library.

Abstract: New and efficient protocols are provided for privacy-preserving machine learning training (e.g., for linear regression, logistic regression and neural network using the stochastic gradient descent method). A protocols can use the two-server model, where data owners distribute their private data among two non-colluding servers, which train various models on the joint data using secure two-party computation (2PC). New techniques support secure arithmetic operations on shared decimal numbers, and propose MPC-friendly alternatives to non-linear functions, such as sigmoid and softmax.

Abstract: A system for load identification in collaboration with a cloud end includes: a smart Internet of Things electricity meter module, used for matching extracted feature quantity data with a first load feature library of the smart Internet of Things electricity meter module, and determining load feature data corresponding to unmatched feature quantity data in the feature quantity data as target load feature data; a use information front-end/acquisition module, used for calling the target load feature data and transmitting the target load feature data to a main station load identification module; and a main station load identification module, used for receiving the target load feature data, performing data direction processing on the target load feature data, determining an optimal matching strategy matching the feature data to be identified, and identifying an optimal matching solution corresponding to the feature quantity data to be identified in a second load feature library.

Abstract: New and efficient protocols are provided for privacy-preserving machine learning training (e.g., for linear regression, logistic regression and neural network using the stochastic gradient descent method). A protocols can use the two-server model, where data owners distribute their private data among two non-colluding servers, which train various models on the joint data using secure two-party computation (2PC). New techniques support secure arithmetic operations on shared decimal numbers, and propose MPC-friendly alternatives to non-linear functions, such as sigmoid and softmax.

Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

Abstract: The present application discloses a method for early warning brandish of a transmission wire based on an improved Bayes-Adaboost algorithm, including: forming a classifier by training a historical brandish fault training set, and by using an Adaboost ensemble learning method, and obtaining an early warning result of the brandish of the transmission wire via the classifier according to real-time forecast meteorological information and information of different parameters of the transmission wire. The present invention can realize calculation and processing of forecast information of meteorological characteristic factors of the brandish of the transmission wire, structural parameters of the transmission wire and other related data, and obtain an early warning analysis result of a brandish disaster of the transmission wire in a region.

Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

Abstract: Techniques for managing customer license agreements are described. In one embodiment, a user-specified resource metric of a license model and a user-specified limit of the user-specified resource metric are obtained. A request for permission to launch a new compute resource at a computing device of the provider network is obtained from a service within a provider network. The new compute resource having a property that is an amount of the user-specified metric. A determination is made that a launch of the new compute resource would cause the user-specified limit to be exceeded, and the request the request to launch the new compute resource is denied.

Abstract: Disclosed is an image processing method including steps of obtaining a plurality of sets of training data, each set of training data containing data of first and second images, image quality of the second image being higher than that of the first image, shooting contents of the first image being the same model, letting the data of the first image be an input of the model, and utilizing the plurality of sets of training data to train the model until a difference feature value between an output of the model and the data of the second image is minimum; and inputting data of a third image to be processed into the model so as to output data of a fourth image after image enhancement, image quality of the fourth image being higher than that of the third image.

Abstract: Disclosed is a method for controlling a mopping robot including a mopping member for mopping and cleaning a floor. The method includes: if the mopping robot has mopped a first area in a first state with the mopping member at a target degree of cleanliness, performing a mopping member cleaning operation; if the mopping robot has mopped a second area in a second state with the mopping member at the target degree of cleanliness, and if the mopping member satisfies the cleaning condition, performing the mopping member cleaning operation. An apparatus for controlling a mopping robot and a non-transitory computer-readable storage medium are also provided.

Abstract: Disclosed are a method and an apparatus for controlling a mopping robot, and a storage medium. The mopping robot is provided with a mopping member configured to mop a floor. The method for controlling the mopping robot includes: when a mopping robot mops the floor with the mopping member, adjusting a mopping value of the mopping member, where the mopping value is configured to indicate a degree of dirtiness of the mopping member; and if the mopping value meets a cleaning condition, performing a cleaning operation on the mopping member.

Abstract: Methods and apparatus are provided for secret sharing with a verifiable reconstruction type. An exemplary method comprises receiving a plurality of shares of a secret generated using a secret splitting scheme; reconstructing the secret if the plurality of shares satisfies a predefined reconstruction threshold; and generating a proof identifying at least one of the plurality of shares used in the reconstruction. The proof is optionally verified by a verifier and the verification is optionally based on auxiliary information derived by the secret splitting scheme used to share the secret. The verifier optionally implements layered access control, for example, based on a rank of the shares used for reconstruction. The reconstructed secret is optionally provided to the verifier. A user can be granted a level of access to a protected resource based on the proof, the reconstructed secret and one or more predefined policies. One or more steps can be proactivized to maintain share freshness.

Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

Abstract: New and efficient protocols are provided for privacy-preserving machine learning training (e.g., for linear regression, logistic regression and neural network using the stochastic gradient descent method). A protocols can use the two-server model, where data owners distribute their private data among two non-colluding servers, which train various models on the joint data using secure two-party computation (2PC). New techniques support secure arithmetic operations on shared decimal numbers, and propose MPC-friendly alternatives to non-linear functions, such as sigmoid and softmax.

Abstract: Techniques for graph-based generation of dependency-adherent execution plans for data center migration are described. One or more agents and/or connectors can be deployed to a first network to collect data that can be used, by a server migration service, to identify resources operating in the first network and dependencies between the resources. A graph of the resources can be constructed and processed to remove any bi-dependencies and cycles from the graph that may exist. The resulting graph can be topologically sorted and used to automatically generate a migration plan for the resources that preserves dependencies between resources so that upon each resource being migrated, its inter-resource dependencies are satisfied.