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: 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: The disclosed computer-implemented method for artificial-intelligence-based automated surface inspection can include receiving customer data, a request for a targeted model, and compensation for the requested targeted model. The compensation can include an agreement to contribute the customer data and/or targeted model to be available for other third-party entities. The method can also include retrieving the pre-trained model from a pre-trained model pool. The pre-trained model can be related to objects in a second industry. The method can include generating the targeted model from the pre-trained model and the customer data. The targeted model can be related to mapping sensor data to surface anomalies. The method can also include providing the targeted model to the third-party entity. The method can further include updating a distributed blockchain structure to include the at least one of the customer data and the targeted model.

Abstract: A laminated light valve film comprising: (a) a film having first and second opposed outer surfaces; (b) a first layer of a polymeric interlayer material upon at least a portion of each opposed outer surface; (c) a first pair of substrates, one of which is adhered to the interlayer material upon the first outer opposed surface of the light valve film and the second is adhered to the interlayer material upon the second outer opposed surface of the light valve film, these substrates being formed from plastic or glass; (d) a second layer of polymeric interlayer material applied to at least a portion of an outer surface of each one of the first pair of substrates; and (e) a second pair of substrates, one being adhered to the interlayer upon the outer surface of one of the first pair of substrates and a second one adhered to the interlayer material on the outer surface of a second one of the first pair of substrates, the second pair of substrates being formed from plastic or glass, with the proviso that when the fi

Abstract: The present disclosure relates to the technical field of assembled concrete frame structures, and discloses a prestressed assembled concrete frame-joint connecting structure and constructing method thereof. The present disclosure includes a prefabricated concrete column, a prefabricated concrete superposed beam, a composite slab, a post-tensioned prestressing tendon that connects the prefabricated concrete column and the prefabricated concrete superposed beam, a bending-resistant energy consuming steel bar and a shearing-resistant high-strength steel bar.

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: A laminated light valve film comprising: (a) a film having first and second opposed outer surfaces; (b) a first layer of a polymeric interlayer material upon at least a portion of each opposed outer surface; (c) a first pair of substrates, one of which is adhered to the interlayer material upon the first outer opposed surface of the light valve film and the second is adhered to the interlayer material upon the second outer opposed surface of the light valve film, these substrates being formed from plastic or glass; (d) a second layer of polymeric interlayer material applied to at least a portion of an outer surface of each one of the first pair of substrates; and (e) a second pair of substrates, one being adhered to the interlayer upon the outer surface of one of the first pair of substrates and a second one adhered to the interlayer material on the outer surface of a second one of the first pair of substrates, the second pair of substrates being formed from plastic or glass, with the proviso that when the fi

Abstract: A method includes: deploying a frontend system (FIES); registering a current deployment location of the FIES; detecting a close-proximity interaction between a user and the FIES that specifies a first category; generating a product recommendation that includes a first product of the first category; detecting a respective prior purchase record of the user for a second product in a second category associated with the first category; if the prior purchase record indicates a purchase or delivery location outside of a geographic region of the registered current deployment location, automatically augmenting the product recommendation to include a third product from the second category selected based on characteristics of the second product; and otherwise, automatically refining the first product recommendation to further define characteristics of the first product based on the characteristics of the second product; and providing the product recommendation to the first user after the automatic augmenting or refining

Abstract: A method and system of controlling a digital assistant with dynamically switchable endpoint devices, comprising: dynamically selecting a respective input endpoint device and a respective controlled device for each of a plurality of voice-based requests from a user to the computing system, including: at a first point in time, acquiring respective instances of a first voice input from a first set of two or more input endpoint devices; obtaining a representative copy of the first voice input based on the respective instances of the first voice input that have been acquired from the first set of two or more input endpoint devices; determining a first actionable intent based on the representative copy of the first voice input; and dispatching a first encoded instruction to a first controlled endpoint device selected from the plurality of controlled endpoint devices in accordance with the first actionable intent.

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 method includes: deploying a frontend system (FIES); activating input streams from on-site cameras located at a current deployment location of the FIES; in accordance with the respective input stream of a first camera, registering an inspection event of a user in association with a first sample product on display; detecting a close-proximity interaction between the user and the FIES; automatically generating a first product recommendation, including: if the inspection event meets enhanced inspection criteria, which are met when a second inspection event of the first user exists in previously stored inspection events associated with the respective first sample product, automatically adding a product-specific description of the first sample product in the first product recommendation; and otherwise, forgoing including the product-specific description of the first sample product in the first product recommendation; and providing, through the frontend information exchange system, the first product recommendatio

Abstract: A face recognition system of a residential environment identifies an individual present in the residential environment. The residential environment include a plurality of home devices and is associated with a group of different persons. The face recognition system identifies which person in the group is the individual and generate an operating instruction for a home device based on identity of the individual. For example, the face recognition system captures an image set of the individual's head and face and applies the image set to a machine learning model that is trained to distinguish between the different persons based on images of their heads and faces. The face recognition system can retrieve a personal profile of the identified individual, which includes settings of the home device for the identified individual. The face recognition system generates the operating instruction based on the personal profile.

Abstract: The present disclosure relates to the technical field of assembled concrete frame structures, and discloses a prestressed assembled concrete frame-joint connecting structure and constructing method thereof. The present disclosure includes a prefabricated concrete column, a prefabricated concrete superposed beam, a composite slab, a post-tensioned prestressing tendon that connects the prefabricated concrete column and the prefabricated concrete superposed beam, a bending-resistant energy consuming steel bar and a shearing-resistant high-strength steel bar.

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 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 method of quality inspection is performed by a robotic arm that includes a plurality of segments, a camera at an end of the robotic arm, and a plurality of joints connecting two segments of the plurality of segments. The method includes (i) inspecting, via the camera, a surface of a product with the camera positioned at a first position, (ii) based on the inspecting, identifying: (a) an area of interest on the surface of the product, and (b) a relative location of the area of interest on the surface, (iii) positioning, based on the relative location of the area of interest on the surface, the camera at a second position, and (iv) inspecting, via the camera, the area of interest on the surface of the product with the camera positioned at the second position. Inspecting the area of interest includes inspecting a subset of the surface of the product.

Abstract: A quality management platform for home devices is implemented on a computer system and comprises a knowledge repository and a query engine. The knowledge repository includes a knowledge graph of nodes connected by edges. The nodes represent concepts relating to home devices and their operation and faults, and the edges represent relations between the concepts. The query engine receives requests relating to home devices, queries the knowledge graph based on the requests, and returns responses based on the query results.

Abstract: The disclosed computer-implemented method for artificial-intelligence-based automated surface inspection can include receiving customer data, a request for a targeted model, and compensation for the requested targeted model. The compensation can include an agreement to contribute the customer data and/or targeted model to be available for other third-party entities. The method can also include retrieving the pre-trained model from a pre-trained model pool. The pre-trained model can be related to objects in a second industry. The method can include generating the targeted model from the pre-trained model and the customer data. The targeted model can be related to mapping sensor data to surface anomalies. The method can also include providing the targeted model to the third-party entity. The method can further include updating a distributed blockchain structure to include the at least one of the customer data and the targeted model.

Abstract: The disclosed computer-implemented system and method for artificial-intelligence-based automated object identification and manipulation can include receiving a subsystem request from a third-party entity, the request being related to a subsystem for an object identification and manipulation system. The system and method also includes creating a developer request for a model suitable for the subsystem, the developer request including at least one approval condition. The system and method further includes evaluating a developer proposal received in response to the developer request, the developer proposal including a trained model, the evaluating including determining an accuracy level of the trained model, and the evaluating includes designating the trained model as an approved model if the developer proposal is approved. Also, the system and method includes providing the approved model to the third-party entity in response to the subsystem request.

Abstract: A quality management platform for home devices is implemented on a computer system and comprises a knowledge repository and a query engine. The knowledge repository includes a knowledge graph of nodes connected by edges. The nodes represent concepts relating to home devices and their operation and faults, and the edges represent relations between the concepts. The query engine receives requests relating to home devices, queries the knowledge graph based on the requests, and returns responses based on the query results.