Abstract: An automatic namespace deletion system includes an automatic namespace deletion subsystem that is coupled to a storage system. The automatic namespace deletion subsystem receives a namespace creation instruction and, in response, creates a namespace in the storage system and sets a namespace deletion flag for the namespace. The automatic namespace deletion subsystem then stores data in the namespace in the storage system. Subsequent to storing the data in the namespace of the storage system, the automatic namespace deletion subsystem performs an initialization process and, during the initialization process, identifies the namespace deletion flag and, in response, deletes the namespace from the storage system.

Abstract: Disclosed are a low-noise electromagnetic valve assembly, an air bag massage device, and a Control Method. The low-noise electromagnetic valve assembly includes an electromagnetic valve body, a flow guide piece, and a silencer; and the flow guide piece includes an air intake interface, an air release interface, an air bag interface, and a reserved interface The electromagnetic valve body enables the air bag interface to be in communication with the air intake interface or the air release interface, and the reserved interface is in communication with the air bag interface. The air release interface is in communication with the silencer, and the silencer is provided with a silencing air outlet. The low-noise electromagnetic valve assembly, the air bag massage device, and the control method can solve the problems of high production cost and poor usage experience of an electromagnetic valve.

Abstract: This application provides a data processing method and a related apparatus. The method includes: obtaining K-dimensional data, and inputting the K-dimensional data into a first machine learning model, to obtain a solution to a to-be-solved problem. The first machine learning model includes a first processing module and a second processing module. The second processing module is determined based on a constraint condition of the to-be-solved problem. The second processing module is configured to perform dimensional generalization on the K-dimensional data. The first processing module is obtained through training based on m-dimensional data. A value of m is irrelevant to a value of K, and K and m are positive integers.

Abstract: Disclosed herein are a virtual object control method and apparatus, a device, a medium, and a product, which relate to the field of virtual environments. This method includes: displaying a master virtual object and an interactive element in a virtual scene; controlling, in response to an attack operation on the interactive element, the master virtual object to attack the interactive element using a virtual prop; controlling, in response to an accessory switching operation, the master virtual object to switch a first prop accessory of the virtual prop to a second prop accessory; and detaching, after the first prop accessory is switched, the first prop accessory from the virtual prop, and transforming the first prop accessory into a functional prop.

Abstract: A fluid flow system for a rotatable shaft assembly includes a first fluid flow device installed in a rotatable shaft, and a second fluid flow device installed in the rotatable shaft, spaced axially apart from the first fluid flow device. The first fluid flow device includes a wall portion having a radial dimension that retains oil in the rotatable shaft. The second fluid flow device includes a wall portion having a radial dimension that facilitates discharge of oil from the radial shaft. The first and second fluid flow devices each include a plurality of baffles on the respective wall portions thereof. The plurality of baffles drive the flow of fluid in an axial direction, from the first fluid flow device toward the second fluid flow device, as the first and second fluid flow devices rotate together with the rotatable shaft.

Abstract: In a method for controlling a companion object, a virtual scene is displayed. The virtual scene includes a first virtual object and a companion object of the first virtual object. The companion object is configured to switch between a first state and a second state. The companion object is controlled to switch between the first state and the second state. When the companion object is in the first state, the companion object is in a first form that is attached to the first virtual object. When the companion object is in the second state, the companion object is (i) in a second form that is not attached to the first virtual object and (ii) configured to move separately from the first virtual object, the first form of the companion object being different from the second form of the companion object.

Abstract: An axle decoupler system comprises: an axle decoupler configured to selectively couple an axle of a vehicle with a wheel hub of the vehicle, the axle decoupler comprising: a sliding ring having first splines coupled to second splines on the axle, the sliding ring having a first position where the first splines are not also coupled to third splines on the wheel hub, and a second position where the first splines are also coupled to the third splines; and an electric motor for moving the sliding ring into the first or second position; and a one-way clutch coupling the axle and the wheel hub to each other.

Abstract: The present disclosure relates to neural network construction methods. One example method includes generating parameters of a target neural network based on a parameter generation network, where input of the parameter generation network includes information about a relative number of a neuron in the target neural network, the relative number of the neuron represents a relative location of the neuron at a first neural network layer, and the first neural network layer is a layer at which the neuron in the target neural network is located. The target neural network is constructed based on the parameters of the target neural network, where the parameters of the target neural network are generated by inputting the information about the relative number of the neuron into the target neural network.

Abstract: A method for dynamic modeling and manipulation of multi-object scenes is described. The method includes using object-centric neural implicit scattering functions (OSFs) as object representations in a model-predictive control (MPC) framework for the multi-object scenes. The method also includes modeling a per-object light transport to enable compositional scene re-rendering under object rearrangement and varying lighting conditions. The method further includes applying inverse parameter estimation and graph neural network (GNN) dynamics models to estimate initial object poses and a light position in the multi-object scene. The method also includes manipulating an object perceived in the multi-object scene according to the applying of the inverse parameter estimation and the GNN dynamics models.

Abstract: An axle decoupler system comprises: an axle decoupler configured to selectively couple an axle of a vehicle with a wheel hub of the vehicle, the axle decoupler comprising: a sliding ring having first splines coupled to second splines on the axle, the sliding ring having a first position where the first splines are not also coupled to third splines on the wheel hub, and a second position where the first splines are also coupled to the third splines; and an electric motor for moving the sliding ring into the first or second position; and a one-way clutch coupling the axle and the wheel hub to each other.

Abstract: A method for scene synthesis from human motion is described. The method includes computing three-dimensional (3D) human pose trajectories of human motion in a scene. The method also includes generating contact labels of unseen objects in the scene based on the computing of the 3D human pose trajectories. The method further includes estimating contact points between human body vertices of the 3D human pose trajectories and the contact labels of the unseen objects that are in contact with the human body vertices. The method also includes predicting object placements of the unseen objects in the scene based on the estimated contact points.

Abstract: Systems and methods described herein relate to reconstructing a scene in three dimensions from a two-dimensional image. One embodiment processes an image using a detection transformer to detect an object in the scene and to generate a NOCS map of the object and a background depth map; uses MLPs to relate the object to a differentiable database of object priors (PriorDB); recovers, from the NOCS map, a partial 3D object shape; estimates an initial object pose; fits a PriorDB object prior to align in geometry and appearance with the partial 3D shape to produce a complete shape and refines the initial pose estimate; generates an editable and re-renderable 3D scene reconstruction based, at least in part, on the complete shape, the refined pose estimate, and the depth map; and controls the operation of a robot based, at least in part, on the editable and re-renderable 3D scene reconstruction.

Abstract: Systems and methods described herein relate to reconstructing a scene in three dimensions from a two-dimensional image. One embodiment processes an image using a detection transformer to detect an object in the scene and to generate a NOCS map of the object and a background depth map; uses MLPs to relate the object to a differentiable database of object priors (PriorDB); recovers, from the NOCS map, a partial 3D object shape; estimates an initial object pose; fits a PriorDB object prior to align in geometry and appearance with the partial 3D shape to produce a complete shape and refines the initial pose estimate; generates an editable and re-renderable 3D scene reconstruction based, at least in part, on the complete shape, the refined pose estimate, and the depth map; and controls the operation of a robot based, at least in part, on the editable and re-renderable 3D scene reconstruction.

Abstract: An autonomous robot that collects tennis balls on a tennis court surface and transfers them into a tennis ball shooter.

Abstract: The present disclosure relates to decorative lamps, and in particular to a three-line four-way light string and control system thereof. The three-line four-way light string and control system thereof comprises signal lines L1, L0, L2, a plurality of LED lamps are connected between the signal line L1 and the signal line L0 in parallel, and a plurality of LED lamps are connected between the signal line L2 and the signal line L0 in parallel. The three-line four-way light string and control system thereof provided by the present disclosure can be produced by utilizing a full mechanization manner so as to have high yield and accuracy, save raw material and energy consumption, have a little pollution and be applicable to mass production.

Abstract: An autonomous robot that collects tennis balls on a tennis court surface and transfers them into a tennis ball shooter.

Abstract: The present disclosure relates to a dust cup assembly and a handheld cleaner having the same, the dust cup assembly includes a casing having a central chamber, a dedusting chamber and a dust collecting chamber, wherein the central chamber is configured to have an upright columnar shape and comprises an air exhaust chamber and a mounting chamber in communication with each other in an up-and-down direction, the dedusting chamber is configured to have a closed annular cross section and surrounds the air exhaust chamber by one circle, the dust collecting chamber is located below the dedusting chamber, has a non-closed annular cross section and surrounds the mounting chamber by less than a circle; a negative pressure device, in which wherein at least a majority of the negative pressure device is provided in the mounting chamber and used to suck airflow from the environment into the casing; and a dedusting device provided in the dedusting chamber to remove dust from the sucked airflow.

Abstract: A handheld cleaner is provided and includes a dust cup assembly, including: a casing, a negative pressure device disposed in the casing and configured to suck an airflow from an environment into the casing, and a dedusting device disposed in the casing and configured to remove dust from the sucked airflow; and a handle assembly, including: a handle casing disposed to the casing and having a holding portion for user handholding, and a power supply device disposed at a top of the holding portion, and/or in the holding portion, and/or at a position in the handle casing opposite to the holding portion and electrically connected to the negative pressure device.

Abstract: The present disclosure relates to a dust cup assembly and a handheld cleaner having the same, the dust cup assembly includes a casing including a cup body with an open top, and a cleaner cover disposed at a top of the cup body and capable of being opened and closed; a negative pressure device provided in the cup body and used to suck airflow from an environment into the casing; and a dedusting device provided in the cup body, located above the negative pressure device and withdrawable from the top of the cup body when the cleaner cover is opened.

Abstract: A dust cup, a dust cup assemble and a handheld cleaner are provided and the dust cup for the cleaner having the negative pressure device comprises a base and a cup casing, wherein the cup casing has a non-closed annular cross section with an opening so as to define a dust collecting chamber having a non-closed annular cross section in the cup casing, the cup casing is disposed at a top of the base, a mounting space located outside the dust collecting chamber is defined between an inner-ring wall face of the cup casing and a top wall of the base, a top of the mounting space is directly opened, and a side of the mounting space is opened by an opening, and the negative pressure device is mounted to the mounting space via an opened portion of the mounting space.