Abstract: LiDAR system and methods discussed herein use a dispersion element or optic that has a refraction gradient that causes a light pulse to be redirected to a particular angle based on its wavelength. The dispersion element can be used to control a scanning path for light pulses being projected as part of the LiDAR's field of view. The dispersion element enables redirection of light pulses without requiring the physical movement of a medium such as mirror or other reflective surface, and in effect further enables at least portion of the LiDAR's field of view to be managed through solid state control. The solid state control can be performed by selectively adjusting the wavelength of the light pulses to control their projection along the scanning path.

Abstract: An example apparatus for generating synthesized images includes a receiver to receive a frame, a mask and external images. The apparatus also includes a foreground augmenter to generate augmented foregrounds in the frame based on the mask. The apparatus includes a background augmenter to generate augmented backgrounds based on the frame, the mask, and the external images. The apparatus also further includes an image synthesizer to generate a synthesized image based on the generated augmented foregrounds and the augmented backgrounds.

Abstract: Generally this disclosure describes a video communication system that replaces actual live images of the participating users with animated avatars. A method may include selecting an avatar; initiating communication; detecting a user input; identifying the user input; identifying an animation command based on the user input; generating avatar parameters; and transmitting at least one of the animation command and the avatar parameters.

Abstract: Performing online learning for a model to detect unseen actions in an action recognition system is disclosed. The method includes extracting semantic features in a semantic domain from semantic action labels, transforming the semantic features from the semantic domain into mixed features in a mixed domain, and storing the mixed features in a feature database. The method further includes extracting visual features in a visual domain from a video stream and determining if the visual features indicate an unseen action in the video stream. If no unseen action is determined, applying an offline classification model to the visual features to identify seen actions, assigning identifiers to the identified seen actions, transforming the visual features from the visual domain into mixed features in the mixed domain, and storing the mixed features and seen action identifiers in the feature database.

Abstract: Disclosed is a rotating cored-type biological treatment device for wastewater with low carbon content and use thereof. The device includes a composite frame (1), several biological packing columns (2), a rotating tray (3), a rotating shaft, and a base (4), wherein the biological packing columns (2) are detachably mounted inside the composite frame (1); the rotating shaft is vertically arranged on the base (4) and can rotate; the rotating tray (3) is fixedly sheathed on the rotating shaft, and the composite frame (1) is disposed on the rotating tray (3); and the rotating tray rotates with the rotating shaft, which driving the composite frame (1) and the biological packing columns (2) therein to rotate. The rotating cored-type biological treatment device has the advantages of high efficiency and being renewable and environment-friendly, etc.

Abstract: Disclosed is a fast chilling method for improving beef tenderness, including the following steps: step 1, sample pretreatment: taking beef longissimus dorsi muscle after slaughter, removing surface fat and connective tissue, and vacuum packaging; step 2, rapid chilling: rapidly transferring the pre-treated sample completed in step 1 to a chilling equipment for chilling to a sample temperature of ?3 degrees Celsius (° C.), where the chilling is completed within 5 hours (h) after slaughter; step 3, chilling and aging at super-chilled temperature: transferring the samples rapidly chilled in step 2 to a chilled warehouse, and continuing to chilling and aging until 24 h after slaughter; and step 4, chilling storage and aging: cutting the sample equally into 2.5 centimeters (cm) thickness 24 h after slaughter, and then completing a vacuum skin packaging and refrigerating for aging.

Abstract: A leadframe includes a peripheral frame, a plurality of lead pads, and a die attach pad (DAP). Each lead pad is physically connected to the peripheral frame by a respective connecting portion. The DAP is surrounded by the plurality of lead pads. The DAP includes a first protruding portion coupled to a first lead pad on a first side of the DAP and a second protruding portion coupled to a second lead pad on a second side of the DAP opposite the first side. The DAP does not comprise direct connections to the peripheral frame. The leadframe further includes two or more of the lead pads disposed on either side of the first lead pad on the first side of the DAP; and two or more of the lead pads disposed on either side of the second lead pad on the second side of the DAP.

Abstract: Disclosed is a fast chilling method for improving beef tenderness, including the following steps: step 1, sample pretreatment: taking beef longissimus dorsi muscle after slaughter, removing surface fat and connective tissue, and vacuum packaging; step 2, rapid chilling: rapidly transferring the pre-treated sample completed in step 1 to a chilling equipment for chilling to a sample temperature of ?3 degrees Celsius (° C.), where the chilling is completed within 5 hours (h) after slaughter; step 3, chilling and aging at super-chilled temperature: transferring the samples rapidly chilled in step 2 to a chilled warehouse, and continuing to chilling and aging until 24 h after slaughter; and step 4, chilling storage and aging: cutting the sample equally into 2.5 centimeters (cm) thickness 24 h after slaughter, and then completing a vacuum skin packaging and refrigerating for aging.

Abstract: Generally this disclosure describes a video communication system that replaces actual live images of the participating users with animated avatars. A method may include selecting an avatar; initiating communication; detecting a user input; identifying the user input; identifying an animation command based on the user input; generating avatar parameters; and transmitting at least one of the animation command and the avatar parameters.

Abstract: Disclosed herein are systems, methods, and devices for using adaptive learning to identify objects. An object-identifying device performs a first object identification based on one or more features of a first modality of an object retrieved from an image frame including the object and a first database including first modality identification features. A second object identification is performed based on one or more features of a second modality of the object retrieved from the image frame and a second database including second modality identification features. The second database is updated by adaptively learning a new second modality identification feature according to a first identification result of the first object identification. The second object identification is trained with the updated second database and determines a final identification result by integrating a first identification result of the first object identification and a second identification result of the second object identification.

Abstract: Generally this disclosure describes a video communication system that replaces actual live images of the participating users with animated avatars. A method may include selecting an avatar; initiating communication; detecting a user input; identifying the user input; identifying an animation command based on the user input; generating avatar parameters; and transmitting at least one of the animation command and the avatar parameters.

Abstract: A Fresnel lens mold is disclosed, comprising stacked bendable strips. An optical structure is provided on one edge of each strip, which is the same as a lens structure on a corresponding endless strip of a Fresnel lens. A manufacturing method for the Fresnel lens mold comprises: designing a Fresnel lens according to an optical characteristic requirement, selecting bendable strips, processing, on one edge of each strip, an optical structure that is the same as a lens structure on a corresponding endless strip of the Fresnel lens, and according to the position of the endless strip of the Fresnel lens and the orientation of the lens structure on the endless strip, stacking the strip on which the optical structure is processed, so as to obtain the Fresnel lens model. Further provided is a method for manufacturing a Fresnel lens by using the foregoing Fresnel lens mold.

Abstract: A system, article, and method of neural network object recognition for image processing includes customizing a training database and adapting an instance segmentation neural network used to perform the customization.

Abstract: A system and method of teaching a neural network through reinforcement learning methodology. The system includes a machine-readable medium having one or more processors that perform a motion task to produce a first result corresponding to navigating a device during a first episode and performing an interaction task during that same episode. After completion of the first episode a processor calculates a Q value change based on the first task result and the second task result. The processor then modifies parameters based on the Q value change such that during subsequent episode iterations the motion task and interactive task are improved and a smooth and continuous transition occurs between these two tasks.