Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.

Abstract: A check valve cover to prevent backflow of air through a cooling fan. A circumferential base connects to a fan and flaps arranged in an annular pattern, the flaps each have an outer substantially fixed portion and an inner un-fixed portion. The flaps are flexibly fixed at the outer fixed portion to the circumferential base and are freely movable at the inner un-fixed portion. Flaps may have self-closing property and/or may incorporate one or more anti-vibration holes located between adjacent flaps. Check valve can be fitted on outlet side of a fan close to output side of the fan so that opening of the flaps towards fan is prevented to prevent backflow of air when the fan is not operational.

Abstract: The present disclosure relates to a processor for implementing artificial neural networks, for example, convolutional neural networks. The processor includes a memory controller group, an on-chip bus and a processor core, wherein the processor core further includes a register map, a first instruction unit, a second instruction unit, an instruction distributing unit, a data transferring controller, a buffer module and a computation module. The processor of the present disclosure may be used for implementing various neural networks with increased computation efficiency.

Abstract: The present disclosure relates to a processor for implementing artificial neural networks, for example, convolutional neural networks. The processor includes a memory controller group, an on-chip bus and a processor core, wherein the processor core further includes a register map, an instruction module, a data transferring controller, a data writing scheduling unit, a buffer pool, a data reading scheduling unit and a computation module. The processor of the present disclosure may be used for implementing various neural networks with increased computation efficiency.

Abstract: The present disclosure relates to a processor for implementing artificial neural networks, for example, convolutional neural networks. The processor includes a memory controller group, an on-chip bus and a processor core, wherein the processor core further includes a register map, an instruction module, a data transferring controller, a data writing scheduling unit, a buffer module, a convolution operation unit and a hybrid computation unit. The processor of the present disclosure may be used for implementing various neural networks with increased computation efficiency.

Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.

Abstract: Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.

Abstract: The present disclosure is directed towards a system and method for reducing tandeming effects in a communications system. The method may include receiving, at a speech decoder, an input bitstream associated with an incoming initial speech signal from a speech encoder. The method may further include determining whether or not coding is required and if coding is required, modifying an excitation signal associated with the bitstream. The method may also include providing the modified excitation signal to an adaptive encoder.

Abstract: A cooling system for electrical and electronic devices for hot swapping of a fan module without affecting cooling efficiency due to air backflow, preventing stalling of newly installed exhaust device due to reverse rotation. A check valve assembly having an inlet side frame member, an outlet side frame member, and one or more non-symmetrical valve flaps, each flap having a movable part and a fixed part. The outlet side frame allows the flaps to open under suction pressure on side of the outlet side frame, the inlet side frame disallows the flaps to open under suction pressure on side of the inlet side frame, allowing air to flow in one direction from inlet side frame side to outlet side frame side only. The check valve assembly can be independent of the exhaust device. The check valve assembly can prevent backflow of air during hot swapping of the exhaust device.

Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.

Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.

Abstract: The present disclosure is directed towards a system and method for handling rogue data packets. The method may include receiving, using one or more processors, a first data packet having header information associated therewith. The method may further include obtaining, from the header information, sequence number, timestamp and synchronization source identifier information. The method may also include detecting one or more rogue data packets, based upon, at least in part, at least one of the sequence number, timestamp and synchronization source identifier information.

Abstract: Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.

Abstract: A food recognition assistant system includes technologies to recognize foods and combinations of foods depicted in a digital picture of food. Some embodiments include technologies to estimate portion size and calories, and to estimate nutritional value of the foods. In some embodiments, data identifying recognized foods and related information are generated in an automated fashion without relying on human assistance to identify the foods. In some embodiments, the system includes technologies for achieving automatic food detection and recognition in a real-life setting with a cluttered background, without the images being taken in a controlled lab setting, and without requiring additional user input (such as user-defined bounding boxes). Some embodiments of the system include technologies for personalizing the food classification based on user-specific habits, location and/or other criteria.

Abstract: Disclosed is an ultrahigh-pressure homogenizing integrated device and a cell disruptor. The ultrahigh-pressure homogenizing integrated device includes a long oil cylinder, a main connecting sleeve, a high-pressure cylinder homogenizing main body, an auxiliary connecting sleeve and a short oil cylinder, which are sequentially and coaxially arranged. An upper part of the high-pressure cylinder homogenizing main body is provided with a feeding hole communicated with a high-pressure cavity; and the feeding hole is connected with an integrated feeding device. A pressurizing plunger rod in the high-pressure cavity of the high-pressure cylinder homogenizing main body is connected with a piston rod of the long oil cylinder; and a homogenizing valve arranged in the inner cavity, which is communicated with the high-pressure cavity, of the high-pressure cylinder homogenizing main body, is connected with an ejector rod of the short oil cylinder.

Abstract: A homogenized and integrated device with a coaxial line and double-high pressure cylinder, includes a long oil cylinder, two main connecting sleeves, two high pressure cylindrical homogenized main bodies, two auxiliary connecting sleeves and two short oil cylinders. The two main connecting sleeves, two high pressure cylindrical homogenized main bodies, two auxiliary connecting sleeves and two short oil cylinders are respectively and symmetrically arranged at two ends of the long oil cylinder and are assembled with the long oil cylinder along a same axial line. Each high pressure cylindrical homogenized main body is integrally connected with the long oil cylinder by virtue of one of the main connecting sleeves. Each high pressure cylindrical homogenized main body is integrally connected with the corresponding short oil cylinder by virtue of one of the auxiliary connecting sleeves.

Abstract: Computer-implemented methods and systems for automatically classifying businesses from imagery can include providing one or more images of a location entity as input to a statistical model that can be applied to each image. A plurality of classification labels for the location entity in the one or more images can be generated and provided as an output of the statistical model. The plurality of classification labels can be generated by selecting from an ontology that identifies predetermined relationships between location entities and categories associated with corresponding classification labels at multiple levels of granularity. Confidence scores for the plurality of classification labels can be generated to indicate a likelihood level that each generated classification label is accurate for its corresponding location entity. Associations based on the classification labels generated for each image can be stored in a database and used to help retrieve relevant business information requested by a user.

Abstract: A system includes a crest-factor reduction circuit, a signal analyzer, and a pre-distortion circuit. The crest-factor reduction circuit reduces a crest factor of a baseband signal and generates a feedforward signal. The signal analyzer generates parameters based on the feedforward signal and an output signal from a power amplifier. The pre-distortion circuit generates a pre-distorted baseband signal based on the parameters for input to the power amplifier.

Abstract: Aspects of the present disclosure relate to a method includes training a deep neural network using training images and data identifying one or more business storefront locations in the training images. The deep neural network outputs tight bounding boxes on each image. At the deep neural network, a first image may be received. The first image may be evaluated using the deep neural network. Bounding boxes may then be generated identifying business storefront locations in the first image.

Abstract: Embodiments included herein are directed towards a system and method for addressing discontinuous transmission (DTX) in a network device. Embodiments may include receiving, at a computing device, an audio signal and generating at least one silence descriptor (SID) frame associated with the audio signal. Embodiments may also include generating at least one no data frame associated with the audio signal. Embodiments may also include initiating a speech decoder, voice enhancement, and speech encoder operation for the at least one SID frame during a DTX operation and bypassing the speech decoder, voice enhancement, and speech encoder functions for the at least one no data frame.