Abstract: The present disclosure discloses a kart and a frame thereof. The frame includes: a first frame including an outer sleeve and a first fixing piece arranged on the outer sleeve; a second frame including an inner sleeve defined with at least the two first perforations in an axial direction of the inner sleeve, the outer sleeve being fitted over the inner sleeve, one of the first frame and the second frame being a front frame and the other one being a rear frame; a second fixing piece including a rod section and a fitting section, the rod section being connected to a lower portion of the fitting section, the rod section protruding into any one of the first perforations of the inner sleeve from the first fixing piece, and the fitting section being fitted with the first fixing piece.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Provided are a point cloud segmentation method and apparatus, a device, and a storage medium. The point cloud segmentation method includes: acquiring a to-be-processed point cloud; obtaining, in a gridding scenario space to which respective point in the point cloud belongs, a target grid corresponding to the respective point through a pre-trained neural network, wherein the pre-trained neural network is obtained by training a sample point cloud and a sample target grid corresponding to the sample point cloud in a sample gridding scenario space; and outputting a point cloud corresponding to a respective instance according to an instance category corresponding to the target grid, wherein the same target grid has the same instance category.

Abstract: Provided are an image segmentation method and apparatus, a device, and a storage medium. The image segmentation method includes: fusing a visual feature corresponding to an original image with a text feature corresponding to a description language to obtain a multimodal feature, where the description language is used for specifying a target object to be segmented in the original image; determining a visual region of the target object according to an image corresponding to the multimodal feature and recording an image corresponding to the visual region as a response heat map; and determining a segmentation result of the target object according to the image corresponding to the multimodal feature and the response heat map.

Abstract: A food processor combines steaming of food on a support, and blending. The support is rotated about the same shaft as the blender blade, to release the food on the support centrifugally so that it drops to the blender blade. This enables an automated process with optimized steaming and blending.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Disclosed is a method for continuously producing polyaluminum chloride from aluminum slag, comprising: blending the aluminum slag with water into a slurry in a mixing tank; pumping the slurry and a sodium hydroxide solution into a first mixing reactor; introducing the mixture obtained in the first mixing reactor into a second mixing reactor and pumping hydrochloric acid into the second mixing reactor; and filtering the resulting mixture and allowing filtrate for ripening, polymerization and sedimentation to obtain liquid polyaluminum chloride; wherein each of the reactors is pipeline-shaped, arranged horizontally and provided with a spiral conveyor shaft inside which is arranged horizontally and configured to stir and convey the mixture in a pipeline. This method realizes a continuous treatment of aluminum slag together with a continuous recovery of ammonia nitrogen and produces PAC, thereby achieving resourceful utilization and improved operability.

Abstract: Embodiments of the present disclosure provide a method for temperature detection. The method comprises obtaining a sensed temperature from a sensor, the sensor being in a mounted mode where the sensor is thermally radiated by a variable heat source and a fixed heat source; determining a temperature change rate of the sensor and at least one affecting factor that affects temperature sensing of the sensor; and determining a temperature of the variable heat source based on the sensed temperature, the temperature change rate, and the affecting factor. According to the method of the present disclosure, the temperature of the variable heat source such as an ambient temperature can be obtained or determined without a dedicated sensor and cables. With this method, the ambient temperature can be determined by a sensor for sensing a temperature of a heating element such as a battery, a control unit or the like.

Abstract: Method and apparatus for load balancing in a Cloud-radio access network (C-RAN) are disclosed. A method includes receiving control plane (CP) data associated with a user from a core network or a remote access point; and dispatching the CP data to a first user equipment (UE) virtualized network function component (VNFC) based on a first route.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Region proposal is described for image regions that include objects of interest. Feature maps from multiple layers of a convolutional neural network model are used. In one example a digital image is received and buffered. Layers of convolution are performed on the image to generate feature maps. The feature maps are reshaped to a single size. The reshaped feature maps are grouped by sequential concatenation to form a combined feature map. Region proposals are generated using the combined feature map by scoring bounding box regions of the image. Objects are detected and classified objects in the proposed regions using the feature maps.

Abstract: A composition suitable for a negative plate of lead-acid battery includes (a) a lead-based active material; (b) at least one material selected from the group consisting of a lignosulfonate and barium sulfate; and (c1) carbon black particles having a Brunauer-Emmett-Teller (BET) surface area greater than or equal to 90 m2/g and less than or equal to 900 m2/g, and an oil adsorption number (OAN) greater than or equal to 150 mL/100 g and less than or equal to 300 mL/100 g, or (c2) carbon black particles having a BET surface area greater than or equal to 40 m2/g and less than or equal to 500 m2/g, and graphenes particles. The composition has a theoretical negative active mass (NAM) BET surface area greater than or equal to 0.75 m2/g and less than or equal to 2 m2/g. The compositions can be used in electrodes, e.g., those used in lead-acid batteries.

Abstract: A food processor combines steaming of food on a support, and blending. The support is rotated about the same shaft as the blender blade, to release the food on the support centrifugally so that it drops to the blender blade. This enables an automated process with optimized steaming and blending.

Abstract: A convolutional neural network framework is described that uses reverse connection and obviousness priors for object detection. A method includes performing a plurality of layers of convolutions and reverse connections on a received image to generate a plurality of feature maps, determining an objectness confidence for candidate bounding boxes based on outputs of an objectness prior, determining a joint loss function for each candidate bounding box by combining an objectness loss, a bounding box regression loss and a classification loss, calculating network gradients over positive boxes and negative boxes, updating network parameters within candidate bounding boxes using the joint loss function, repeating performing the convolutions through to updating network parameters until the training converges, and outputting network parameters for object detection based on the training images.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Method and apparatus for load balancing in a Cloud-radio access network (C-RAN) are disclosed. A method includes receiving control plane (CP) data associated with a user from a core network or a remote access point; and dispatching the CP data to a first user equipment (UE) virtualized network function component (VNFC) based on a first route.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: A system and method determines allergens which may present a risk of a respiratory attack to a user of the system. Historical data which precedes a respiratory attack is statistically analyzed. The data relates to the locations where the user has been present and includes environmental factors and optionally also human or animal contact factors. A location at which a respiratory attack is most likely to have been triggered is derived as well 5 as a set of most likely plant types (or animal types, mold or dust mites) to have caused the respiratory attack.

Abstract: A system is for estimating a remaining lifetime of an aldehyde filter. The system comprises aa aldehyde filter (14) through which at least a portion of the gas is to be passed for removing aldehyde (10) from the gas (12) and a detecting medium (16) through which at least a portion of the gas is to be passed comprising photoluminescent carbon-based dots (18), a light source for emitting an excitation light (E) through the detecting medium for exciting the carbon-based dots which thereby emit luminescent light (L), a detector (28) for detecting the luminescent light (L), the luminescent light (L) having a luminescence property; and a controller (30) for determining information relating to intensity of a red, a green or a blue component of the luminescence property and estimating a remaining lifetime of the aldehyde filter from the determined information.