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: 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 involve receiving, via a first module of a plurality of modules in a control system, an indication that an error between a measurement associated with a target variable that corresponds with at least a portion of the industrial automation system and a modeled value for the target variable. The method may then involve determining, via the first module, whether the error is within a first range of values and retraining a model used to generate the modeled value for the target variable based on a portion of a plurality of sets of data points acquired via a plurality of sensors disposed in the industrial automation system in response to the error being within the first range of values.

Abstract: An industrial automation system may include an automation device and a control system. The control system may be communicatively coupled to the automation device and may include a first module that may receive a request for information regarding the automation device. The first module may then determine information related to the request for information based on one or more datasets locally available to the first module, alter the information based on a signal configured to obscure the information, and send encrypted information to a second module of the plurality of modules.

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: 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.

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: The present disclosure provides a high-voltage interlock system and a detection method thereof. The high-voltage interlock system includes a target control device and at least one non-target control device connected in sequence. The target control device includes a detection unit, a current generation controller, a current generator, and a second high-voltage component. A controller in the target control device generates a pulse drive signal for driving the current generation controller, receives a detection result signal output from a current detector, and determines a fault of a high-voltage interlock circuit according to the detection result signal; the current generation controller generates an alternating voltage signal according to the pulse drive signal; the current generator outputs an alternating current signal according to the alternating voltage signal; the current detector acquires a voltage signal across a detection resistor set and outputs the detection result signal.

Abstract: Conventional television audience measurements are made with diaries or by imaging the area in front of a television and trying to identify the people in the images watching television. Unfortunately, diaries are only accurate if the audience members record entries in them, and image-based techniques are intrusive. The present techniques address these problems by using a viewer's wearable device to measure a viewer's proximity to a television. The wearable device emits or receives low-power beacon signals; measurements of the signal strength are used to calculate the viewer's distance to the television. If the viewer is close enough to the television and the television is on, the viewer may be engaged with the content on the television. This system is simple, non-intrusive, and can used to measure engagement with each television in a multi-television household.

Abstract: A signal compensator includes an abnormality identification unit and a signal compensation unit. The abnormality identification unit is configured to determine whether or not a waveform of a signal generated by a signal generator is abnormal, when the waveform of the signal is normal, output the signal to a display panel, and when the waveform of the signal is abnormal, stop outputting the signal to the display panel and send an instruction to the signal compensation unit. The signal compensation unit is configured to perform signal compensation on the display panel in accordance with the instruction received from the abnormality identification unit.

Abstract: A method for decoding a compressed video stream is disclosed. The method includes decoding, by a processor from the compressed video stream, a first picture and a second picture, each including multiple slices in the same pattern, in which the first picture includes a first I-slice decoded using intra-prediction, the second picture includes a second I-slice decoded using intra-prediction, and the first I-slice and the second I-slice are not co-located with each other; and decoding, using inter-prediction, a first P-slice of the current picture referencing the first I-slice, and a second P-slice of the current picture referencing the second I-slice, in which the first P-slice of the current picture is co-located with the first I-slice, and the second P-slice of the current picture is co-located with the second I-slice.

Abstract: A method for encoding a video stream, including encoding, by a processor, a first slice of a first picture of the video stream; receiving, from a decoder, a feedback message indicative of having received the first slice of the first picture; and in response to receiving the feedback message indicative of having received the first slice of the first picture, setting the first slice of the first picture as a reference slice for encoding a second picture of the video stream, wherein the second picture is encoded after receiving the feedback message.

Abstract: Video quality analysis may be used in many multimedia transmission and communication applications, such as encoder optimization, stream selection, and/or video reconstruction. An objective VQA metric that accurately reflects the quality of processed video relative to a source unprocessed video may take into account both spatial measures and temporal, motion-based measures when evaluating the processed video. Temporal measures may include differential motion metrics indicating a difference between a frame difference of a plurality of frames of the processed video relative to that of a corresponding plurality of frames of the source video. In addition, neural networks and deep learning techniques can be used to develop additional improved VQA metrics that take into account both spatial and temporal aspects of the processed and unprocessed videos.