Abstract: A mixing device includes a conveying part, a discharging pipe and a detecting part. The conveying part is internally provided with a plurality of conveying channels, and the plurality of conveying channels are used for correspondingly conveying various materials. The discharging pipe is internally provided with a mixing channel and connected to the conveying part, and each of the conveying channels communicates with the mixing channel. The detecting part is used for detecting a color of the mixed material obtained after the various materials are mixed in the mixing channel.

Abstract: Embodiments described herein provide systems and methods for multimodal layout generations for digital publications. The system may receive as inputs, a background image, one or more foreground texts, and one or more foreground images. Feature representations of the background image may be generated. The foreground inputs may be input to a layout generator which has cross attention to the background image feature representations in order to generate a layout comprising of bounding box parameters for each input item. A composite layout may be generated based on the inputs and generated bounding boxes. The resulting composite layout may then be displayed on a user interface.

Abstract: The present disclosure provides a battery electrode sheet, a battery and a method for manufacturing the battery electrode sheet. The battery electrode sheet includes an electrode sheet body and a tab, the electrode sheet body is provided with a tab installation groove and a first groove, the tab installation groove being communicated with a first edge of the electrode sheet body, and the first groove being connected to a second edge of the electrode sheet body. The first edge and the second edge are two opposite edges of the electrode sheet body, and the tab is connected in the tab installation groove. The battery electrode sheet of the present disclosure is less prone to fracture and the battery is more reliable.

Abstract: A method for measuring drop time of a control rod cluster integrated with a rod position measurement device is provided, wherein the method is used to measure the drop time of each control rod cluster, and includes: Si, monitoring a voltage Ua of coils in Group A to capture a rod cluster drop signal; S2, searching a point (tmax, Vmax) with a maximum drop speed or with a local maximum drop speed; S3, retroactively calculating, from tmax, an end of a time period T4 when the control rod cluster starts to drop; S4, retroactively searching, from a minimum value point of a drop reference signal DROPref, a start of the time period T4 when the drop reference signal DROPref drops from a maximum value to 33% thereof; and S5, determining, from tmax forward, a time point t6 when a drop speed of the control rod cluster is lower than 0.

Abstract: This application provides a battery and an electric device. The battery provided in this application is provided with a blocking member between two adjacent rows of battery cells along the length direction of the battery cell. In the process of assembling the battery cells in the box, the adhesive at the bottom of the battery cell, when spreading under compressing from the gap created by the housing chamfers to the end cover, will be blocked by the blocking member, thus preventing the adhesive from overflowing to the end cover, improving the safety performance of the battery.

Abstract: The present application provides a battery and an electronic device. The battery includes an electrode assembly, a lower casing, a first conductive part, and a second conductive part. An opening is provided at a top of the lower casing; the second conductive part covers the opening of the lower casing; the second conductive part and the lower casing define an accommodating cavity; the electrode assembly is located in the accommodating cavity; the first conductive part is connected to a side of the second conductive part facing the accommodating cavity; a sealing layer is provided between the first conductive part and the second conductive part to insulate the two conductive parts; a through hole is formed on the second conductive part; and at least part of a structure of the first conductive part is exposed out of the accommodating cavity via the through hole.

Abstract: An iron-based metal powder for ultra-high-speed laser cladding comprising chemical composition and mass percentage of the metal powder of: C 0.6˜1.0%, Cr 17.0˜20.0%, Ni 5.0˜6.5%, Mn 2.0˜4.0%, Mo 1.0˜1.5%, Ti 4.0˜6.0%, B 1.0˜1.5%, N 0.08˜0.15%, Si?0.5%, P?0.030%, S?0.030%, balance of Fe and unavoidable impurities, wherein the particle size of the metal powder is 15˜65 ?m, the fluidity is 16˜20 s/50 g.

Abstract: A hybrid mount for an optical instrument and an associated method employs a worm gear for angular positioning about a declination axis and a harmonic gear for angular positioning about a right-ascension axis. An optical encoder measures right-ascension angles and provides a basis for correcting periodic errors introduced by the harmonic gear.

Abstract: A dual performance pillow performs similar to a pillow having a memory foam fill and also performs similar to a pillow having a non-memory foam fill, such as a fiber fill. The pillow includes top and bottoms panels each having a plurality of sides and at least one gusset panel extending between and connected to the top panel and the bottom panel at at least one top and bottom panel side. A closure is positioned on the at least one top and bottom panel side to close and open the pillow at the gusset. The others of the top and bottom panel sides are joined to one another. The pillow includes a fill. The gusset panel is formed from a material having less resistance to air flow than the top and bottom panel material. When the closure is closed and the gusset panel is concealed, air flow into and out of the pillow is restricted and when the closure is open and the gusset panel is exposed, air flow into and out of the pillow is unrestricted.

Abstract: The present disclosure relates to communication technology, and provides a configuration method, an allocation method, an apparatus, a device, and a storage medium. The method includes: a network device transmitting configuration information to a terminal device. The configuration information includes: an identifier of a first AI service, and first domain information corresponding to the first AI service. The first domain information corresponding to the first AI service refers to information related to a first domain for executing the first AI service. With the embodiments of the present disclosure, the network device configures information related to a first domain for a specific service for the terminal device, such that the terminal device can subsequently initiate a process for joining the first domain for the specific service, which provides basis for the terminal device to participate in data analysis corresponding to the specific service.

Abstract: Embodiments described herein provide an open-vocabulary instance segmentation framework that adopts a pre-trained vision-language model to develop a pipeline in detecting novel categories of instances.

Abstract: A full-face shaft tunnel boring machine system includes a tunnel boring machine cutterhead device for tunneling downwards in a shaft; a full-hydraulic formwork device for supporting and walling in a wellbore; and an upper muck-discharge system for vertically conveying rock mucks generated by tunneling. The tunnel boring machine cutterhead device comprises a vertical guide frame, a cutter-expanded boring head and an advanced cutterhead that are fixedly connected in a vertical order from top to bottom so as to form an integrated structure. The vertical guide frame is a hollow cylindrical structure and driven to rotate around an axis of the vertical guide frame by a power mechanism, and an outer wall of the vertical guide frame is provided with multiple sets of first guide rollers.

Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.

Abstract: Systems and methods are provided for generating a user click history table and a random bucket training table, generating training data for training a user-type-affinity machine learning model by combining the user click history table and the random bucket training table, and training the user-type-affinity machine learning model with the generated training data. The systems and methods further provide for generating a user click prediction table and generating user-type-affinity prediction values for each of the plurality of users by inputting the user click prediction table into the user-type-affinity machine learning model.

Abstract: A computer-implement method comprises: training a classifier with labeled data from a dataset; classifying, by the trained classifier, unlabeled data from the dataset; providing, by the classifier to a policy gradient, a reward signal for each data/query pair; transferring, by the classifier to a ranker, learning; training, by the policy gradient, the ranker; ranking data from the dataset based on a query; and retrieving data from the ranked data in response to the query.

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata. Each content communication is processed to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content. A first content collection is automatically generated based on context values, and a set of user accounts are associated with the collection. An identifier associated with the first content collection is published to user devices associated with user accounts. In various additional embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

Abstract: An Internet-of-Things management and control system for an intelligent orchard includes a server, agricultural machinery equipment, an image acquisition apparatus disposed on the site, and various sensors. The agricultural machinery equipment, the image acquisition apparatus and the various sensors are in communication connection with the server. The server includes an orchard management subsystem and an information monitoring subsystem. The orchard management subsystem includes a fruit tree planting planning module, a task management module and various information management modules, and the information monitoring subsystem includes a meteorological environment monitoring module, a soil moisture monitoring module and a disease and pest monitoring module. According to the Internet-of-Things management and control system, all-round management for an orchard from planning to picking can be achieved.

Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.

Abstract: Disclosed herein are arrangements that facilitate the transfer of knowledge from models for a source data-processing domain to models for a target data-processing domain. A convolutional neural network space for a source domain is factored into a first classification space and a first reconstruction space. The first classification space stores class information and the first reconstruction space stores domain-specific information. A convolutional neural network space for a target domain is factored into a second classification space and a second reconstruction space. The second classification space stores class information and the second reconstruction space stores domain-specific information. Distribution of the first classification space and the second classification space is aligned.

Abstract: Techniques are disclosed for deep neural network (DNN) based interactive image matting. A methodology implementing the techniques according to an embodiment includes generating, by the DNN, an alpha matte associated with an image, based on user-specified foreground region locations in the image. The method further includes applying a first DNN subnetwork to the image, the first subnetwork trained to generate a binary mask based on the user input, the binary mask designating pixels of the image as background or foreground. The method further includes applying a second DNN subnetwork to the generated binary mask, the second subnetwork trained to generate a trimap based on the user input, the trimap designating pixels of the image as background, foreground, or uncertain status. The method further includes applying a third DNN subnetwork to the generated trimap, the third subnetwork trained to generate the alpha matte based on the user input.