Abstract: A cooling plate assembly, an assembly method applied to the cooling plate assembly, a battery module and a battery pack are provided. The cooling plate assembly includes a cooling plate configured to control a temperature of the battery module; and at least one current collector connected to an end portion of the cooling plate through bonding. The cooling plate assembly is conducive to improving the connection stability between the cooling plate and the current collector and the assembly efficiency.

Abstract: In a method for training an entity recognition model, sample text data including entity text content is acquired. Entity recognition is performed on the sample text data using a candidate entity recognition model to obtain an entity recognition result corresponding to the sample text data. A recognition loss value is determined based on a difference between the entity division label and the entity recognition result. A sample quality score corresponding to the sample text data is acquired. Loss adjustment is performed on the recognition loss value based on the sample quality score to obtain a predicted loss value. The candidate entity recognition model is trained based on the predicted loss value to obtain a trained entity recognition model that is configured to perform entity recognition on inputted text data. Apparatus and non-transitory computer-readable storage medium counterparts are also contemplated.

Abstract: An antenna assembly includes N elements, a feeding network, and a printed circuit board (PCB). N is an integer greater than or equal to 3. The N elements and the feeding network are located on the PCB. The N elements are all connected to the feeding network, each element has a radial part, the radial part of each element points to an antenna phase center, and a length of the radial part of each element is greater than a sum of lengths of other non-radial parts.

Abstract: A pipe connection structure includes a first pipe joint, a second pipe joint and a limiting structure; the second pipe joint and the first pipe joint are connected through insertion, an outer surface of the second pipe joint is provided with a first fitting structure, an end of the limiting structure is connected to the first pipe joint, and another end is provided with a second fitting structure; in a direction of the insertion, the second fitting structure and the first fitting structure are fitted to block each other, and the second fitting structure and the first fitting structure are fitted with a clearance.

Abstract: Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.

Abstract: An embodiment of this application discloses an artificial intelligence-based image generation method performed by a computer device. The method includes: acquiring a source image including a target object whose pose is to be transformed, and a target image including a reference object presenting a target pose; determining a pose transition matrix according to a model pose corresponding to the pose of the target object and a model pose corresponding to the target pose of the reference object; extracting a basic appearance feature of the target object from the source image; processing the basic appearance feature based on the pose transition matrix, to obtain a target appearance feature of the target object in the target pose; and generating a target synthetic image of the target object in the target pose based on the target appearance feature.

Abstract: A liquid cooling assembly and a battery pack are provided in the application. The liquid cooling assembly includes liquid cooling plates and a liquid inlet main pipe. The liquid cooling plates are arranged in sequence at intervals. An installation space for installing a heating element is formed between adjacent liquid cooling plates. The liquid cooling plates include circulation channels, and liquid inlets each communicating with a corresponding circulation channel. The liquid inlet main pipe includes first mating ports. The first mating ports and the liquid inlets are arranged by one-to-one correspondence. First mating tubes are connected between the first mating ports and the liquid inlets, and each first mating tube is at least partially flexible.

Abstract: An automated checkout system modifies received images of machine-readable labels to improve the performance of a label detection model that the system uses to decode item identifiers encoded in the machine-readable labels. For example, the automated checkout system may transform subregions of an image of a machine-readable label to adjust for distortions in the image's depiction of the machine-readable label. Similarly, the automated checkout system may identify readable regions within received images of machine-readable labels and apply a label detection model to those readable regions. By modifying received images of machine-readable labels, these techniques improve on existing computer-vision technologies by allowing for the effective decoding of machine-readable labels based on real-world images using relatively clean training data.

Abstract: A powered surgical device (10) includes a safety trigger assembly (62) that is movable from a safe position to an intermediate position, and subsequently to a fire-ready position. The safety trigger assembly (62) prevents firing of the surgical device (10) unless the safety trigger assembly (62) is in the fire-ready position and includes at least one safety button (120, 134) that extends through an outer housing (18) of the surgical device (10) and is accessible to a clinician to move the safety trigger assembly (62) to the fire-ready position. The surgical device (10) includes the outer housing (18) that shields the at least one safety button (120, 134) when the safety trigger assembly (62) is in the safe position to prevent inadvertent movement of the safety trigger assembly (62) from the safe position to the fire-ready position.

Abstract: A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.

Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.

Abstract: A first housing and a second housing of a foldable device are rotatably connected through a rotating shaft mechanism. A first chamber is provided between a flexible display of the device and the first housing, a second chamber is provided between the flexible display of the device and the second housing, and a third chamber is provided between the flexible display of the device and the rotating shaft mechanism. A flexible thermal sheet is disposed in space formed by the first chamber, the second chamber, and the third chamber. The flexible thermal sheet is fastened to the first housing, passes through the third chamber along the flexible display, and extends to the second chamber. The flexible thermal sheet slidably cooperates with the rotating shaft mechanism, the second housing, and parts that correspond to the rotating shaft mechanism and the second housing and that are of the flexible display.

Abstract: This application provides an antenna module and a communication device. The antenna module includes a radiating element, a ground element, and a feed element. The feed element is a transmission line structure formed on an insulation support. The feed element includes a feed transmission part and a ground part. The feed transmission part and the ground part are not equal in width, and are configured to implement current balance of the antenna module.

Abstract: This disclosure provides an antenna module and a communication device. The antenna module includes a ground plane, a first antenna, a second antenna, and a first decoupling structure. A cross-sectional height of the first decoupling structure, a distance between the first decoupling structure and the first antenna, and a distance between the first decoupling structure and the second antenna are set to reduce an amount of coupling between the first antenna and the second antenna. This facilitates a miniaturized design of the antenna module, and improves isolation on a premise thereby ensuring antenna efficiency.

Abstract: Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.

Abstract: An antenna for a wireless communication device, such as a Wi-Fi access point is provided. The antenna includes an electrically conductive radiation structure including a plurality of radially extending radiation slots, each of which has an open outer end at a perimeter of the electrically conductive radiation structure and defines a respective radiation portion of the electrically conductive radiation structure. The antenna includes a feeding network configured to feed an RF signal to the electrically conductive radiation structure, the feeding network includes a plurality of feeding arms configured to feed the RF signal into each radiation portion of the electrically conductive radiation structure for exciting each radiation portion to emit electromagnetic waves.

Abstract: The embodiments of the present disclosure provide a method and an apparatus for acquiring a RAW image, and an electronic device, the method including: obtaining an sRGB image; inputting the sRGB image into a preset image restoration model to obtain an initial RAW image corresponding to the sRGB image, wherein the preset image restoration model is a model obtained by training a preset neural network based on a first preset training set; adding a first preset noise to the initial RAW image to obtain a first noise RAW image; adding a second preset noise to the initial RAW image to obtain a second noise RAW image; inputting the first noise RAW image and the second noise RAW image into a preset noise addition model to obtain a target RAW image, wherein the preset noise addition model is a model obtained by training a preset neural network based on a second preset training set.

Abstract: A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.

Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.

Abstract: A fan includes a first blower and a second blower each having an impeller. The first blower includes a first motor and a first motor drive controller to control driving of the first motor and communicate with the second blower. The second blower includes a second motor and a second motor drive controller to control driving of the second motor and communicate with the first blower. The first motor drive controller controls the driving of the first motor based on a result of communication with the second blower.