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.

Abstract: Embodiments of the invention receive videos and feedback data associated with the videos from a client device and adaptively encode the videos based on the feedback data. The encoded videos are suitable to be transmitted over a network and displayed on the client device. Embodiments of an encoding server adaptively changes resolution of a video on the fly or scale the video quality up or down based on the factors described by the feedback data, including network condition for transmitting the encoded video, network delay, encoder and decoder processing capacity and feedback from viewers of the decoded video. Furthermore, the encoding server adaptively encodes the video based on a combination of various factors described by the feedback data.

Abstract: A personal vaporizer having a pressure-induced liquid supply that allows a user to draw liquid from a liquid reservoir through applying a suction force on the mouthpiece. The amount of liquid drawn is proportional to the pressure induced, and proportional to the amount of vaporization a user may desire.

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: Embodiments of the invention recognize human visual gestures, as captured by image and video sensors, to develop a visual language for a variety of human computer interfaces. One embodiment of the invention provides a computer-implement method for recognizing a visual gesture portrayed by a part of human body such as a human hand, face or body. The method includes steps of receiving the visual signature captured in a video having multiple video frames, determining a gesture recognition type from multiple gesture recognition types including shaped-based gesture, position-based gesture, motion-assisted and mixed gesture that combining two different gesture types. The method further includes steps of selecting a visual gesture recognition process based on the determined gesture type and applying the selected visual gesture recognition process to the multiple video frames capturing the visual gesture to recognize the visual gesture.

Abstract: The present disclosure discloses an alcohol dehydrogenase mutant and application thereof in synthesis of diaryl chiral alcohols, and belongs to the technical field of bioengineering. The alcohol dehydrogenase mutant of the present disclosure has excellent catalytic activity and stereoselectivity, and may efficiently catalyze the preparation of a series of chiral diaryl alcohols in R- and S-configurations. By coupling alcohol dehydrogenase of the present disclosure to glucose dehydrogenase or formate dehydrogenase, the synthesis of chiral diaryl alcohol intermediates of various antihistamines may be achieved. Compared with the prior art, a method for preparing diaryl chiral alcohols through asymmetric catalytic reduction using the alcohol dehydrogenase of the present disclosure has the advantages of simple and convenient operation, high substrate concentration, complete reaction and high product purity, and has great industrial application prospects.

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 computer in a distributed computing system is disclosed. The computer includes: a graphics processing unit (GPU) memory; a central processing unit (CPU) memory comprising a Key-Value Store (KVS) module; an execution engine module configured to run a deep learning (DL) program to create a plurality of operator graph layers in the graphics processing unit memory; a client library module configured to create a GPU-CPU synchronization (GCS) module for each of the plurality of operator graph layers; a coordination service module configured to compute network cost of a first and a second communication scheme and select, based on the network cost, one of the first and second communication scheme for transmitting data associated with one of the plurality of operator graph layers from a corresponding GCS module.

Abstract: Embodiments of the invention recognize human visual gestures, as captured by image and video sensors, to develop a visual language for a variety of human computer interfaces. One embodiment provides a method for recognizing a hand gesture positioned by a user hand. The method includes steps of capturing a digital color image of a user hand against a background, applying a general parametric model to the digital color image of the user hand to generate a specific parametric template of the user hand, receiving a second digital image of the user hand positioned to represent a hand gesture, detecting a hand contour of the hand gesture based at least in part on the specific parametric template of the user hand, and recognizing the hand gesture based at least in part on the detected hand contour. Other embodiments include recognizing hand gestures, facial gestures or body gestures captured in a video.

Abstract: Embodiments of the invention receive videos and feedback data associated with the videos from a client device and adaptively encode the videos based on the feedback data. The encoded videos are suitable to be transmitted over a network and displayed on the client device. Embodiments of an encoding server adaptively changes resolution of a video on the fly or scale the video quality up or down based on the factors described by the feedback data, including network condition for transmitting the encoded video, network delay, encoder and decoder processing capacity and feedback from viewers of the decoded video. Furthermore, the encoding server adaptively encodes the video based on a combination of various factors described by the feedback data.

Abstract: A method for acquiring a canal flow rate, comprising: measuring an actual measure value of an upstream water depth and an actual measure value of a downstream water depth of a target canal; presetting the upstream canal flow rate and surface water infiltration rate of the target canal, and respectively acquiring preset values of each; substituting the actual measured value of the upstream water depth, the preset value of the upstream canal flow rate, and the preset value of the surface water infiltration rate into Saint-Venant equations, so as to solve the equations and obtain a downstream water depth simulation value of the target canal; when the relative error between the downstream water depth simulation value and the actual measured value of the downstream water depth is less than or equal to the preset threshold value, acquiring a viable upstream canal flow rate and a viable surface water infiltration rate; otherwise, optimizing the preset value of the upstream canal flow rate and the preset value of the

Abstract: Modular analytics engines are provided for industrial automation applications. The engines may be instantiated on a data-driven basis, such as by receipt of a data structure comprising annotated data relating to a machine or process to be monitored and/or controlled. The modules may comprise, for example, modules for modeling the machine or process, classification modules, optimization modules, and control modules. Output of the modules may comprise data structures, and these may be used as inputs to the same type or different types of modules. Multiple of the modules may be instantiated at the same level in the machine or process, or at different levels, such as in a department, institution, factory, or enterprise.

Abstract: A modular analysis engine provided classification of variables and data in an industrial automation environment. The module may be instantiated upon receipt of an input data structure, such as containing annotated data for any desired variables related to the machine or process monitored and/or controlled. The data may be provided in a batch or the engine may operate on streaming data. The output of the module may be a data structure that can be used by other modules, such as for modeling, optimization, and control. The classification may allow for insightful analysis, such as for textual classification of alarms provided in the automation setting.

Abstract: A two-sided turbocharger compressor wheel and a housing forming a diffuser for the compressor. A first side and a second side of the compressor wheel are characterized by different values of a trim and of an annulus area. A first side of the diffuser surrounds the first side of the compressor wheel, and a second side of the diffuser surrounds the second side of the compressor wheel. The first and second sides of the diffuser are characterized by different annulus area ratios. The blades of the first and second sides of the compressor wheel are angularly offset from one another. The compressor wheel is configured for greater flow through the side of the compressor wheel that faces away from a related turbine wheel.

Abstract: A plug device for automatically plugging a display panel and a connector comprises a first linkage having a fixed end and a movable end that can approach or get away from the display panel at a plug location. The connector comprises a first connector head, a second connector head and a wire that connects the first and second connector heads, the connector is mounted on the first linkage, the first and second connector heads of the connector are respectively secured on the movable end and the fixed end of the first linkage. The second connector head is connected with a signal generator, and when the movable end approaches the display panel at the plug location, the first connector head is automatically plugged on the display panel. The plug device may be used in a method of automatically plugging a display panel with a connector.

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 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: Embodiments of the invention recognize human visual gestures, as captured by image and video sensors, to develop a visual language for a variety of human computer interfaces. One embodiment of the invention provides a computer-implement method for recognizing a visual gesture portrayed by a part of human body such as a human hand, face or body. The method includes steps of receiving the visual signature captured in a video having multiple video frames, determining a gesture recognition type from multiple gesture recognition types including shaped-based gesture, position-based gesture, motion-assisted and mixed gesture that combining two different gesture types. The method further includes steps of selecting a visual gesture recognition process based on the determined gesture type and applying the selected visual gesture recognition process to the multiple video frames capturing the visual gesture to recognize the visual gesture.

Abstract: A method and device for determining static equivalences of distribution networks is provided. The method comprises: acquiring node admittance matrices related to a border node and a distribution network, power loss and a voltage value and a current value of the border node; constructing static equivalence determination conditions for determining static equivalences of the distribution network, comprising a consistency of sensitivity equation, a consistency of power loss equation, an equivalent network power balance equation and a Kirchhoff's current equation; and calculating static equivalent parameters according to the static equivalence determination conditions. The inventive method and device are simple and effective, where the consistency of sensitivity and power loss before and after equivalence are considered comprehensively, and where the distributed generators' voltage and power support characteristics in an active distribution network are reserved.

Abstract: A conveyor includes a conveyor belt, a sensor and a controller, wherein the sensor includes a light ray generator, a light ray receiver and at least one baffle. The controller is connected with the light ray receiver for controlling the conveyor belt to stop moving in response to a signal fed back by the light ray receiver that the conveyed product has been conveyed to the end of the conveyor belt. The baffle has a light transmission hole to let the light ray emitted from the light ray generator pass through. The gap between a lower edge of the baffle and the conveyor belt is smaller than the thickness of the conveyed product. When the baffle is impinged by the conveyed product, the baffle will move along the conveying direction of the conveyor belt so as to block the light ray emitted from the light ray generator.