Abstract: Provided is a method for blockchain-based recordkeeping and implementable by a terminal device. The method comprises: obtaining target data; computing a data digest of the target data, and extracting a key segment from the target data; signing, in a secure operation environment included in the terminal device, the data digest and/or the key segment based on a private key associated with the terminal device to generate a signature; and submitting to a blockchain the data digest, the key segment, and the signature, for one or more nodes in the blockchain to verify the signature based on a public key corresponding to the private key, and to record the data digest and the key segment in the blockchain in response to the signature being verified to be valid.

Abstract: A computer-implemented method comprises: obtaining, by the settlement device, a biometric feature of the user; determining, by the settlement device, that the obtained biometric feature matches a stored biometric feature, wherein the stored biometric feature corresponds to an account identifier; and in response to determining that the obtained biometric feature matches the stored biometric feature, performing, by the settlement device, a settlement of an account associated with the account identifier that corresponds to the stored biometric feature.

Abstract: Interaction characteristics of a user interacting with a virtual reality (VR) terminal are obtained through preset sensing hardware in response to a request for execution of a target task requiring user identity verification. The obtained interaction characteristics of the user are compared with preset interaction characteristics of an authorized user of the VR terminal to verify identity of the user. The target task is executed and the user is authenticated as an identity-verified user of the VR terminal based on a successful user identity verification.

Abstract: A method includes: receiving, at a server and from an augmented reality device, user information of a user using the augmented reality device; generating, by the server, a picture feature sample sub-library corresponding to the user information, including screening out, from a preset picture feature sample library, picture feature samples associated with the user information; and providing, to the augmented reality device, the picture feature sample sub-library, wherein the picture feature sample sub-library can be configured to be used by the augmented reality device to perform, during image scanning of an offline environment of the user, image recognition of images scanned from the offline environment by comparing the scanned images to picture features in the picture feature sample sub-library.

Abstract: At least one associated image uploaded by a client is received, where the at least one associated image is obtained in response to detecting, by the client based on an image recognition method, an occurrence of a change of goods in a storage container. Based on the at least one image, difference information pertaining to a difference in the goods in the storage container is identified. Corresponding goods order change information is generated using the difference information. User order information corresponding to the client based on the goods order change information is updated. Updated user order information is sent to the client.

Abstract: Embodiments of the specification disclose a transaction execution method, apparatus, and device applicable in a client terminal and a server. The transaction execution method includes: scanning an offline object and a corresponding identification code thereof, the identification code comprising positioning assistance information of the offline object; triggering a recognition process for the offline object and the identification code; and executing a transaction with respect to the offline object based on a result of the recognition process.

Abstract: An augmented reality (AR) client terminal identifies initial location information for a location of a user. A scene picture associated with the location of the user is captured. Image matching is performed between the captured scene picture and scene pictures in a scene picture set. The scene picture set is generated based on the initial location information. Each scene picture in the scene picture set is associated with detailed location information. In response to the captured scene picture matching a particular scene picture in the scene picture set, refined location information for the location of the user is determined based on the detailed location information of the particular scene picture.

Abstract: Embodiments of the application provide information processing systems, methods and devices based on Internet of Things. An information processing system comprises a server device, a first device and a second device. The first device and second device are both an Internet of Things device. The first device is configured to: in response to detecting that a first acquisition instruction is triggered, acquire biometric feature information, and send the acquired biometric feature information to the server device. The server device is configured to identify a user corresponding to the biometric feature information. The second device is configured to: in response to detecting that a second acquisition instruction is triggered, acquire body movement information associated with the user, and send the acquired body movement information to the server device. The server device is further configured to perform an operation for the user according to the body movement information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a virtual reality head-mounted apparatus are provided. One of the apparatus includes: an apparatus body being provided with a convex lens and a camera, the camera being located on a user side of the convex lens, and a lens of the camera facing an eye of the user to acquire eye pattern features of the user. The virtual reality head-mounted apparatus may acquire eye pattern features of the user without interrupting the displaying of virtual reality contents, and quickly and accurately perform identity verification on the user based on the eye pattern features.

Abstract: A method for user identity authentication using virtual reality includes presenting one or more virtual elements on a virtual reality (VR) scenario of a VR application for initiating a service, identifying, using one or more sensors communicably coupled to the VR device, one or more interactive operations of a user of the VR device with the one or more virtual elements, determining whether the one or more interactive operations match one or more predetermined operations for selecting the one or more virtual elements to initiate the service and trigger biometric authentication for user identity authentication, invoking biometric authentication if the one or more interactive operations match one or more predetermined operations, presenting a virtual guidance in the VR scenario for guiding the user to perform the biometric authentication, and presenting a service interface to the user if the biometric authentication is successful.

Abstract: Interaction characteristics of a user interacting with a virtual reality (VR) terminal are obtained through preset sensing hardware in response to a request for execution of a target task requiring user identity verification. The obtained interaction characteristics of the user are compared with preset interaction characteristics of an authorized user of the VR terminal to verify identity of the user. The target task is executed and the user is authenticated as an identity-verified user of the VR terminal based on a successful user identity verification.

Abstract: A method for offline-service multi-user interaction based on augmented reality (AR) includes scanning, by an AR client terminal of a user, an offline service label at an offline service site. Information of the offline service label is transmitted to a server terminal. Based on the information of the offline service label, the server terminal establishes a service group including the user and a second user that scanned the offline service label. In response to transmitting the information of the offline service label, service data is received from the server terminal. The service data includes information related to the user and information related to the second user. Based on the service data, a service interactive interface is outputted. The service interactive interface displays the information related to the user and the information related to the second user at a position corresponding to the offline service label in an AR scene.

Abstract: An audio signal is obtained by a user terminal. The audio signal is divided into a plurality of short-time energy frames based on a frequency of a predetermined voice signal. Energy of each short-time energy frame is determined. Based on the energy of each short-time energy frame, whether the audio signal includes a voice signal is determined.

Abstract: The application discloses a resource distributing method and device used for improving resource distributing efficiency. The method comprises: receiving a resource distributing request and determining one or more pre-selected receiving identifiers; determining a total distributing budget for distributing a resource; determining a distributing result according to the total distributing budget and one or more pre-selected receiving accounts corresponding to the one or more pre-selected receiving identifiers, wherein the distributing result is a resource value based on which the resource is to be distributed from the sending account to a receiving account in the one or more pre-selected receiving accounts; and distributing the resource from the sending account to the receiving account according to the distributing result. The application further discloses a red-envelope distributing method.

Abstract: An augmented reality (AR) client terminal identifies initial location information for a location of a user. A scene picture associated with the location of the user is captured. Image matching is performed between the captured scene picture and scene pictures in a scene picture set. The scene picture set is generated based on the initial location information. Each scene picture in the scene picture set is associated with detailed location information. In response to the captured scene picture matching a particular scene picture in the scene picture set, refined location information for the location of the user is determined based on the detailed location information of the particular scene picture.

Abstract: A statistics-based machine translation method is disclosed. The method generates probabilities of translation from a sentence to be translated to candidate translated texts based on features of the candidate translated texts that affect the probabilities of translation and a pre-generated translation probability prediction model. The features that affect probabilities of translation include at least degrees of semantic similarity between the sentence to be translated and the candidate translated texts. A preset number of candidate translated texts with highly ranked probabilities of translation are selected to serve as translated texts of the sentence to be translated. The method is able to go deep into a semantic level of a natural language when a machine translation model is constructed to avoid a semantic deviation of a translated text from an original text, thereby achieving the effect of improving the quality of translation.

Abstract: Novel and advantageous systems and methods for performing nanometer-scale microscopy using graphene plasmons (GPs) are provided. Sub-diffraction microscopy can be achieved, taking advantage of the extremely small plasmon wavelength and low dissipation of GPs. Nanometer-scale resolution can be obtained under very weak light intensity, which is especially important in the imaging of biological systems.

Abstract: A method for offline-service multi-user interaction based on augmented reality (AR) includes scanning, by an AR client terminal of a user, an offline service label at an offline service site. Information of the offline service label is transmitted to a server terminal. Based on the information of the offline service label, the server terminal establishes a service group including the user and a second user that scanned the offline service label. In response to transmitting the information of the offline service label, service data is received from the server terminal. The service data includes information related to the user and information related to the second user. Based on the service data, a service interactive interface is outputted. The service interactive interface displays the information related to the user and the information related to the second user at a position corresponding to the offline service label in an AR scene.

Abstract: A statistics-based machine translation method is disclosed. The method generates probabilities of translation from a sentence to be translated to candidate translated texts based on features of the candidate translated texts that affect the probabilities of translation and a pre-generated translation probability prediction model. The features that affect probabilities of translation include at least degrees of semantic similarity between the sentence to be translated and the candidate translated texts. A preset number of candidate translated texts with highly ranked probabilities of translation are selected to serve as translated texts of the sentence to be translated. The method is able to go deep into a semantic level of a natural language when a machine translation model is constructed to avoid a semantic deviation of a translated text from an original text, thereby achieving the effect of improving the quality of translation.

Abstract: An augmented reality (AR) client terminal identifies initial location information for a location of a user. A scene picture associated with the location of the user is captured. Image matching is performed between the captured scene picture and scene pictures in a scene picture set. The scene picture set is generated based on the initial location information. Each scene picture in the scene picture set is associated with detailed location information. In response to the captured scene picture matching a particular scene picture in the scene picture set, refined location information for the location of the user is determined based on the detailed location information of the particular scene picture.