Abstract: A control apparatus comprises a microcontroller, an auxiliary circuit, a delay module and a logical circuit; the microcontroller is connected to a first input end of the logical circuit via the auxiliary circuit and connected to a second input end of the logical circuit via the delay module, and an output end of the logical circuit is connected to a device to be controlled; if the microcontroller is reset in a process of outputting the closing control signal, a delay disabling signal becomes invalid, the delay module is enabled to output the closing control signal within a preset delay time, wherein the delay time is greater than or equal to a reset time. A power supply system is also provided to avoid a risk that an automobile suddenly loses power due to unexpected reset of the microcontroller.

Abstract: An industrial automation system may include an automation device and a control system communicatively coupled to the automation device. The control system may include a first module of a number of modules, such that the first module may receive an indication of a target variable associated with the industrial automation device. The first module may then receive parameters associated with the target variable, identify a portion of data points associated with controlling the target variable with respect to the parameters, generate a model of each data point of the portion over time with respect to the parameters based on the data points, determine functions associated with the model. The functions represent one or more relationships between the each data point of the portion with respect to controlling the target variable. The first module may then adjust one or more operations of the automation device based on the functions.

Abstract: Systems and methods are provided for dynamically adjusting notification frequency for a sporting event. During a sporting event, information related to the sporting event is received. A first level of interest of a user in the sporting event is determined. A performance metric of a competitor in the sporting event is determined. A second level of interest of the user in receiving notifications relating to the sporting event is generated as a function of the first level of interest and the performance metric. In response to determining that the second level of interest exceeds a notification frequency threshold, a notification is presented for the user that includes the information related to the sporting event when the information is received during the sporting event.

Abstract: A system including a master machine and a plurality of worker machines is disclosed. The master machine includes, for example, an API server configured to receive a job description; a resource allocation module configured to determine a number of virtual machines required to perform a job based on the job description; a container scheduling module configured to create a container containing the number of virtual machines required to perform the job, wherein at least two of the virtual machines in the container resides on different worker machines, and wherein each of the virtual machines is configured to run a same application to perform the job.

Abstract: A light emitting assembly, a backlight source and a display panel are provided. The light emitting assembly includes: a circuit board, at least one LED on the circuit board; the at least one LED has a main light emitting face substantially parallel to the circuit board and An oblique side light emitting face, the side light emitting face being located between the main light emitting face and the side light emitting face; a reflective film between the circuit board and the at least one LED; an acute angle is formed between the main light emitting face and the side light emitting face, and the side light emitting face is configured such that light emitted by the side light emitting face is directed away from the LED and is directed toward the circuit board, the reflective film being configured to reflect light emitted by the side light emitting face.

Abstract: A method, an apparatus, and a system for error concealment of video communications include determining, by a processor in an encoding process, a current block of a current slice of a current picture of a video sequence for error concealment, determining recovery data of the current block, wherein the recovery data comprises at least one of a coefficient of a discrete transform performed to the current block and similarity data associated with a first block similar to the current block, and the first block is in a first slice different from the current slice, and transmitting the current block and the recovery data using a network, wherein the current block is transmitted as in-band data and the recovery data is transmitted as out-of-band data.

Abstract: A light emitting assembly, a backlight source and a display panel are provided. The light emitting assembly includes: a circuit board, at least one LED on the circuit board; the at least one LED has a main light emitting face substantially parallel to the circuit board and An oblique side light emitting face, the side light emitting face being located between the main light emitting face and the side light emitting face; a reflective film between the circuit board and the at least one LED; an acute angle is formed between the main light emitting face and the side light emitting face, and the side light emitting face is configured such that light emitted by the side light emitting face is directed away from the LED and is directed toward the circuit board, the reflective film being configured to reflect light emitted by the side light emitting face.

Abstract: Embodiments provide a full-linear model for the optimal power flow of an integrated power and natural-gas system based on a deep learning method, mainly comprising following steps of: 1) establishing an integrated power and natural-gas system and acquiring basic data of the integrated power and natural-gas system; 2) establishing a linear natural-gas model based on deep learning; and 3) based on the linear natural-gas model, establishing a full-linear model for the optimal power flow of the integrated power and natural-gas system. In the full-linear model for the optimal power flow of an integrated power and natural-gas system based on a deep learning method provided by the present invention, one-segment linearization is performed on a natural-gas pipeline model. Compared with the conventional segmented linear model, the method provided by the present invention can greatly improve the calculation efficiency.

Abstract: Described herein are implementations of various technologies for a method for seismic data processing. The method may receive seismic data for a region of interest. The seismic data may be acquired in a seismic survey. The method may determine sparse seismic data by selecting shot points in the acquired seismic data using statistical sampling. The method may determine simulated seismic data based on an earth model for the region of interest, a reflection model for the region of interest, and the selected shot points. The method may determine an objective function that represents a mismatch between the sparse seismic data and the simulated seismic data. The method may update the reflection model using the objective function.

Abstract: Disclosed is a composite catalyst, comprising carbon in a continuous phase and Raney alloy particles in a dispersed phase. The Raney alloy particles are dispersed evenly or unevenly in the carbon in a continuous phase, and the carbon in a continuous phase is obtained by carbonizing at least one carbonizable organic substance. The catalyst has good particle strength, high catalytic activity, and good selectivity.

Abstract: A pixel unit, a display method thereof and a display panel are provided. The pixel unit includes a display region and a non-display region, further includes a first substrate, a second substrate, a fluid layer and a control structure, the fluid layer is disposed between the first substrate and the second substrate, a fluid is disposed in the fluid layer, a flow of the fluid is controllable, and the control structure is disposed between the first substrate and the second substrate and configured to control the flow of the fluid.

Abstract: Organ segmentation in chest X-rays using convolutional neural networks is disclosed. One embodiment provides a method to train a convolutional segmentation network with chest X-ray images to generate pixel-level predictions of target classes. Another embodiment will also train a critic network with an input mask, wherein the input mask is one of a segmentation network mask and a ground truth annotation, and outputting a probability that the input mask is the ground truth annotation instead of the prediction by the segmentation network, and to provide the probability output by the critic network to the segmentation network to guide the segmentation network to generate masks more consistent with learned higher-order structures.

Abstract: Organ segmentation in chest X-rays using convolutional neural networks is disclosed. One embodiment provides a method to train a convolutional segmentation network with chest X-ray images to generate pixel-level predictions of target classes. Another embodiment will also train a critic network with an input mask, wherein the input mask is one of a segmentation network mask and a ground truth annotation, and outputting a probability that the input mask is the ground truth annotation instead of the prediction by the segmentation network, and to provide the probability output by the critic network to the segmentation network to guide the segmentation network to generate masks more consistent with learned higher-order structures.

Abstract: A method, an apparatus, and a system for error concealment of video communications include determining, by a processor in an encoding process, a current block of a current slice of a current picture of a video sequence for error concealment, determining recovery data of the current block, wherein the recovery data comprises at least one of a coefficient of a discrete transform performed to the current block and similarity data associated with a first block similar to the current block, and the first block is in a first slice different from the current slice, and transmitting the current block and the recovery data using a network, wherein the current block is transmitted as in-band data and the recovery data is transmitted as out-of-band data.

Abstract: Disclosed is a composite catalyst, comprising carbon in a continuous phase and Raney alloy particles in a dispersed phase. The Raney alloy particles are dispersed evenly or unevenly in the carbon in a continuous phase, and the carbon in a continuous phase is obtained by carbonizing at least one carbonizable organic substance. The catalyst has good particle strength, high catalytic activity, and good selectivity.

Abstract: Methods and systems use a video sensor grid over an area, and extensive signal processing, to create a model-based view of reality. Grid-based synchronous capture, point cloud generation and refinement, morphology, polygonal tiling and surface representation, texture mapping, data compression, and system-level components for user-directed signal processing, is used to create, at user demand, a virtualized world, viewable from any location in an area, in any direction of gaze, at any time within an interval of capture. This data stream is transmitted for near-term network-based delivery, and 5G. Finally, that virtualized world, because it is inherently model-based, is integrated with augmentations (or deletions), creating a harmonized and photorealistic mix of real, and synthetic, worlds. This provides a fully immersive, mixed reality world, in which full interactivity, using gestures, is supported.

Abstract: System and methods of managing reference frame adaptively for video communication under a network are provided. The system adaptively decides the interval between each I frame, the bitrate of the encoded bit steams, and the resolution of the encoded video to achieve quick connection. The system may set the appropriate reference frame(s) for the current frame, manage the reference frame(s) in the DPB to be long/short term reference frame(s) or mark them as unused for reference; mark the current frame to be a long term reference frame, a short term reference frame, unused for reference or skip encoding the current frame; adaptively change the ratio of long term reference frame(s) with respect to the short term reference frame(s) in the DPB; adaptively change the frequency ratio of marking the current frame as long term reference frame and marking the current frame as short term reference frame.

Abstract: A decoding method includes: decoding from the video bitstream a prediction status parameter indicative of whether SOP is enabled; if the SOP is enabled, determining a SOP type indicative of a specific operation for predicting a current picture of the video bitstream; and determining a predicted picture by applying the specific operation to at least one of a reference picture for the current picture and the current picture, in which the specific operation includes at least one of rotation and zoom. An encoding method includes: if SOP is enabled, determining SOP data indicative of a specific operation for predicting a current picture of a video sequence; determining a predicted picture by applying the specific operation to at least one of a reference picture for the current picture and the current picture, in which the specific operation includes at least one of rotation and zoom; and encoding the SOP data.

Abstract: Artificial intelligence based techniques are used for analysis of 3D objects in conjunction with each other. A 3D model of two or more 3D objects is generated. Features of 3D objects are matched to develop a correspondence between the 3D objects. Two 3D objects are geometrically mapped and an object is overlayed on another 3D object to obtain a superimposed object. Match analysis of 3D objects is performed based on machine learning based models to determine how well the objects are spatially matched. The analysis of the objects is used in augmented reality applications.

Abstract: A method for operating an industrial automation system may include receiving, via a first module of a plurality of modules in a control system, a plurality of datasets via at least a portion of the plurality of modules. The plurality datasets may include raw values without context regarding the plurality datasets. The method may then include identifying a subset of the plurality of datasets that influences a value of a target variable by analyzing the data without regard to the context, modeling a behavior of the target variable over time based on the subset of the plurality of datasets, and adjusting one or more operations of an automation device based on the model.