Abstract: A light-emitting diode device includes an epitaxial structure that contains first-type and second-type semiconductor units and an active layer interposed therebetween, a light transmittable dielectric element that is disposed on the first-type semiconductor unit opposite to the active layer and is formed with a first through hole, an adhesive layer that is disposed on the dielectric element and is formed with a second through hole corresponding in position to the first through hole, and a metal contact element that is disposed on the adhesive layer. The adhesive layer has a thickness of at most one fifth of that of the dielectric element. The metal contact element extends into the first and second through holes, and electrically contacts the first-type semiconductor unit. A method for manufacturing the LED device is also disclosed.

Abstract: A data storage method is provided at a computer system, including: obtaining first data and second data of a target object, the first data and the second data being data of different dimensions for measuring any aspect of the target object from generation to existence; storing the first data and the second data of the target object in the first node; receiving audit information of the first node for indicating the first data and the second data stored in the first node; verifying the audit information based on target audit information of at least one target node that transacts with the first node; broadcasting a verification success notification in the data storage system in a case that the verification succeeds; and determining that a consensus on the audit information is reached in a case that the received verification success notification meets a consensus success condition.

Abstract: Systems and methods are disclosed herein for detecting impurities of harvested plants in a receptacle of a harvester. In an embodiment, a harvester controller receives, from a camera facing the contents of the receptacle, an image of the contents. The harvester controller applies the image as input to a machine learning model. The harvester controller receives, as output from the machine learning model, an identification of an impurity of the harvested plants. The harvester controller transmits a control signal based on the impurity.

Abstract: A process and a system for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.

Abstract: This application discloses an audit result data storage method and device, an audit result data query method and device, an audit item storage method and device, an electronic device and a medium. The method includes obtaining a first hash value of audit result data of a first user; signing the first hash value according to a private key of the first user to obtain first signature data; and transmitting the first signature data to an audit result data storage subsystem, the audit result data storage subsystem being configured to store data in the form of a blockchain.

Abstract: A transaction data processing method includes: receiving a first transaction document from a device of a transaction initiator, the first transaction document being associated with identity labels of a plurality of transaction participants; separately performing identity authentication on the plurality of transaction participants according to the identity labels of the plurality of transaction participants, to obtain an identity authentication result.

Abstract: A data verification method and apparatus, a computer device and a computer-readable storage medium are provided, and belong to the technical field of networks. The method includes the following steps: acquiring a data verification request; acquiring at least one set of first data from at least one data source; and verifying target data based on the at least one set of first data. According to the solution, by acquiring data having a production and life relationship with the target data, during data verification, the authenticity of the target data can be verified based on different dimensions and different production and life links.

Abstract: Systems and methods are disclosed herein for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.

Abstract: Systems and methods are disclosed herein for optimizing harvester yield. In an embodiment, a controller receives a pre-harvest image from a front-facing camera of a harvester. The controller inputs the pre-harvest image into a model, and receives as output from the model a predicted harvest yield. The controller receives, from an interior camera of the harvester, a post-harvest image including the plants as harvested. The controller inputs the post-harvest image into a second model and receives, as output, an actual harvest yield of the plants as-harvested. The controller determines that the predicted harvest yield does not match the actual harvest yield, and outputs a control signal.

Abstract: A rice cooker assembly uses machine learning models to identify and classify content in grain mixtures thereby to provide better automation of the cooking process. As one example, a rice cooker has a chamber storing grains. A camera is positioned to view an interior of the chamber. The camera captures images of the contents of the chamber. From the images, the machine learning model determines whether the contents of the chamber includes one type or multiple types of grain or whether the contents of the chamber includes any inedible objects. The machine learning model further classifies the one or more types of grains and inedible objects if any. The cooking process may be controlled accordingly. The machine learning model may be resident in the rice cooker or it may be accessed via a network.

Abstract: This application discloses an audit result data storage method and device, an audit result data query method and device, an audit item storage method and device, an electronic device and a medium. The method includes obtaining a first hash value of audit result data of a first user; signing the first hash value according to a private key of the first user to obtain first signature data; and transmitting the first signature data to an audit result data storage subsystem, the audit result data storage subsystem being configured to store data in the form of a blockchain.

Abstract: This application discloses an audit result data storage method and device, an audit result data query method and device, an audit item storage method and device, an electronic device and a medium. The method includes obtaining a first hash value of audit result data of a first user; signing the first hash value according to a private key of the first user to obtain first signature data; and transmitting the first signature data to an audit result data storage subsystem, the audit result data storage subsystem being configured to store data in the form of a blockchain.

Abstract: The joint has a prefabricated-reinforced-concrete column, a reinforced-concrete foundation, a column anchoring longitudinal bar, a grouting sleeve and a foundation anchoring steel bar. The foundation anchoring steel bar and the column anchoring longitudinal bar are connected by a seam filling material filling the grouting sleeve. A splicing seam between the reinforced-concrete foundation and the prefabricated-reinforced-concrete column is filled with the seam filling material. The foundation anchoring steel bar includes a vertical portion and a horizontal portion. The vertical portion includes an upper-portion anchoring section protruding out of an upper surface of the reinforced-concrete foundation, a middle-portion non-adhesive section buried within the foundation and a lower-portion anchoring section. An exterior of the middle-portion non-adhesive section is provided with an isolating sheath for isolating the middle-portion non-adhesive section and the concrete adhesion.

Abstract: A data processing method is provided for a processing node. The method includes: transmitting a data acquisition request to a data node to cause the data node performing a preprocessing operation on source data according to the data acquisition request, generating target data, and recording operation information of the preprocessing operation in an operation ledger; receiving the target data and the operation ledger; auditing the target data by using the operation ledger in an audit, to determine whether the preprocessing operation is a valid operation; and adding the target data to an aggregated data set when the target data passes the audit, the aggregated data set comprising a plurality of pieces of data that pass the audit, the plurality of pieces of data that pass the audit being provided to a business node, so that the business node provides a business service to a user.

Abstract: A process and a system for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.

Abstract: This application provides an information processing method in digital asset certificate inheritance transfer, and a related apparatus. The method includes: obtaining a will of a user; and triggering, in response to that a signature made on the will by using a public key of the authoritative entity node is successfully verified by using a private key of the authoritative entity node, transmission of a signature made on at least one digital asset certificate in the will by using a public key of a corresponding inheritor personal security kernel node to the inheritor personal security kernel node corresponding to each inheritor personal security kernel node identifier in the will. In the embodiments of this application, the digital asset certificates of the user are uniformly maintained.

Abstract: The column-base joint includes a prefabricated-reinforced-concrete column and a reinforced-concrete foundation, and further includes a coating-steel-plate sleeve that is integrally prefabricated with the concrete column and encloses an exterior of a column base. A gap is between a bottom end of the coating-steel-plate sleeve and an upper surface of the foundation. An outside of the gap is provided with a plugging material. The joint further includes an annular rib plate all of whose edges are horizontally and seamlessly connected to an inner wall of the coating-steel-plate sleeve and whose middle portion is provided with a rib-plate opening. The annular rib plate is provided with a sleeve opening that matches with the grouting sleeve device.

Abstract: The present disclosure provides an identity authentication method, a personal security kernel node, a device, and a medium. The personal security kernel node is part of an identity authentication system, the identity authentication system further comprising a relying party node and a user identity credential certifier node. The method includes: obtaining an identity authentication assurance level corresponding to a service provided by a relying party; determining, according to the identity authentication assurance level, a user identity credential used by a user for the service; transmitting the user identity credential to a user identity credential certifier node through a relying party node, so that the user identity credential certifier node performs user identity credential authentication; and performing the service with the relying party node. According to the embodiments of the present disclosure, security of user identity assets can be improved during identity authentication.

Abstract: Systems and methods are disclosed herein for detecting impurities of harvested plants in a receptacle of a harvester. In an embodiment, a harvester controller receives, from a camera facing the contents of the receptacle, an image of the contents. The harvester controller applies the image as input to a machine learning model. The harvester controller receives, as output from the machine learning model, an identification of an impurity of the harvested plants. The harvester controller transmits a control signal based on the impurity.

Abstract: Systems and methods are disclosed herein for optimizing harvester yield. In an embodiment, a controller receives a pre-harvest image from a front-facing camera of a harvester. The controller inputs the pre-harvest image into a model, and receives as output from the model a predicted harvest yield. The controller receives, from an interior camera of the harvester, a post-harvest image including the plants as harvested. The controller inputs the post-harvest image into a second model and receives, as output, an actual harvest yield of the plants as-harvested. The controller determines that the predicted harvest yield does not match the actual harvest yield, and outputs a control signal.