Abstract: The present disclosure provides eyeglasses including: an eyeglass rim; an eyeglass temple, the eyeglass temple comprising a control circuit or a battery; a rotating shaft, the rotating shaft being configured to connect the eyeglass rim and the eyeglass temple, so that the eyeglass rim and the eyeglass temple are relatively rotated around the rotating shaft, and the rotating shaft being disposed with a rotating shaft wiring channel along an axial direction; a connection wire, the connection wire passing through the rotating shaft wiring channel and extending to the eyeglass rim and the eyeglass temple, respectively; and a loud speaking component, the loud speaking component comprising an earphone core, the loud speaking component being connected to the eyeglass temple, the control circuit or battery in the eyeglass temple driving the earphone core to vibrate to generate a sound through the connection wire, and the sound comprising at least two formants.

Abstract: A method suitable for driver takeover training of man-machine shared driving vehicle relates to the field of man-machine shared driving technology. The method includes: establishing database, situation-creation, establish a teaching model, take over training, evaluation and analysis of takeover ability. The method divides the driver's takeover behavior into a small operation action through the driver takeover training of the man-machine shared driving vehicle, defines where the driver's eyes need to observe when the takeover reminder appears, how the hands and feet need to be operated, and the sequence of these operations, solves the problems of the driver's tension and being in a flurry in the current sudden takeover reminder. In addition, through the evaluation and analysis of the takeover capability, the method can solve the problem that the existing technology cannot objectively evaluate the driver's takeover capability level.

Abstract: The present disclosure provides an under-screen fingerprint recognition module, a display assembly and a display device. The under-screen fingerprint recognition module includes a base substrate and a plurality of fingerprint recognition units arranged on the base substrate. Each fingerprint recognition unit includes a photosensitive unit and an optical structure arranged on a photosensitive surface of the photosensitive unit. The optical structure includes a light-transmitting ring and a light-transmitting hole sequentially arranged in a direction away from the photosensitive unit. An orthogonal projection of the light-transmitting ring onto the photosensitive unit is completely located on the photosensitive surface of the photosensitive unit, and an orthogonal projection of the light-transmitting hole onto the light-transmitting ring is located within an opaque region surrounded by the light-transmitting ring.

Abstract: The present disclosure describes techniques of providing data consistency for hybrid transactional and analytical processing. Logical logs and log serial numbers (LSNs) associated with the logical logs may be generated based on data captured by a first processing engine. The logical logs and the LSNs may be propagated to a storage subsystem configured to be in communication with the first processing engine and a second processing engine. The LSNs and information indicative of LSN schema versions may be stored and distributed by a metadata service. The first processing engine, the second processing engine, the storage subsystem and the metadata service are modularized, and support a LSN mechanism for maintaining data consistency.

Abstract: The disclosure provides a method and a system for muck truck management in a smart city based on Internet of Things. The method is performed by a management platform, including: obtaining construction site information, determining a target monitoring device of a target site based on the construction site information, obtaining muck truck monitoring data of the target site through the target monitoring device, and performing muck processing information analysis based on the muck truck monitoring data to generate muck truck management information.

Abstract: The present application discloses a method, device, and system for processing a medical image. The method includes obtaining a source spinal image, identifying one or more vertebral bodies and one or more intervertebral discs comprised in the source spinal image, determining the vertebral body recognition results corresponding to the one or more vertebral bodies and the intervertebral disc recognition results corresponding to the one or more intervertebral discs, and determining target recognition results corresponding to the source spinal image based at least in part one on one or more of the vertebral body recognition results and the intervertebral disc recognition results.

Abstract: A signal transmission method, signal reception method and apparatuses thereof. A signal transmission apparatus. The apparatus includes a transmitter configured to, after a period of time of receiving a downlink signal related to beam failure recovery and before receiving or applying activation signaling or reconfiguration signaling, transmit an uplink signal in a first cell by using a spatial domain transmission filter identical to a spatial domain transmission filter transmitting an uplink signal related to beam failure recovery or receiving a downlink reference signal.

Abstract: Systems and methods for detection and classification of malware using an AI-based approach are provided. In one embodiment, a T-node maintains a sample library including benign and malware samples. A classification model is generated by training a classifier based on features extracted from the samples. The classification model is distributed to D-nodes for use as a local malware detection model. Responsive to detection of malware in a sample processed by a D-node, the T-node receives the sample from the D-node. When the sample is not in the sample library, it is incorporated into the sample library. A feature depository is created/updated by the T-node by extracting features from the samples. Responsive to a retraining event: (i) an improved classification model is created by retraining the classifier based on the feature depository; and (ii) the D-nodes are upgraded by replacing their local malware detection models with the improved classification model.

Abstract: The present disclosure relates to a magnetic circuit assembly of a bone conduction speaker. The magnetic circuit assembly may generate a first magnetic field. The magnetic circuit assembly may include a first magnetic element, and the first magnetic element may generate a second magnetic field. The magnetic circuit may further include a first magnetic guide element and at least one second magnetic element. The at least one second magnetic element may be configured to surround the first magnetic element and a magnetic gap may be configured between the second magnetic element and the first magnetic element. A magnetic field strength of the first magnetic field within the magnetic gap may exceed a magnetic field strength of the second magnetic field within the magnetic gap.

Abstract: A method for measuring surface temperature of a turbine blade includes following steps: step 1: cleaning a turbine blade and blowing dry; step 2: firstly, preparing a NiCrAlY (nickel-chromium-aluminum-yttrium) buffer layer and then preparing an YSZ (yttria-stabilized zirconia) insulating layer; step 3, preparing alumina sol; step 4, preparing an alumina insulating layer; step 5, preparing a strip-shaped platinum electrode layer; step 6, preparing a platinum-filled lead wire; step 7: firstly, connecting a platinum wire to a surface of a tail end of the strip-shaped platinum electrode layer, and then connecting a nickel-chromium alloy wire to a tenon end of the turbine blade; step 8, preparing alumina protective layers; and step 9, connecting two cold junctions of a thermocouple with a data collector.

Abstract: The present disclosure relates to multi-core processors. One example multi-core processor includes a job manager and multiple processing cores coupled to the job manager. The job manager stores multiple job chains and dependency relationships between the multiple job chains. The job manager determines a first job chain and a second job chain in the multiple job chains based on the dependency relationships between the multiple job chains, where a dependency relationship between the first job chain and the second job chain is non-dependency. The job manager schedules a part or all of the multiple processing cores to execute one or more first tasks, and schedules at least one second task in the second job chain to at least one first processing core for execution when the at least one first processing core in the multiple processing cores is in an idle state.

Abstract: Some embodiments of the present disclosure provide a method, an Internet of Things system, and a storage medium for street cleaning in a smart city. The method may include obtaining street monitoring information of a target area; determining distribution of fallen leaves on the street; determining at least one particle according to at least one fallen leaf pile; determining a central position of the at least one particle, and designating the central position as a center of mass of the at least one particle; determining a dispersion degree of fallen leaves; determining cleaning difficulty of each street in the target area according to the dispersion degree of fallen leaves or wind strength; determining at least one street to be cleaned from the target area; and determining, based on the at least one street to be cleaned, a fallen leaf cleaning route of the target area.

Abstract: The present disclosure provides methods and systems for assessing a pipeline failure based on a smart gas Internet of Things (IoT). The method is implemented by a smart gas safety management platform of an IoT system for smart gas pipeline network safety management, and the method includes obtaining at least one first failure risk in a gas pipeline and a downstream user feature, generating a plurality of candidate gas processing schemes based on the at least one first failure risk, and determining at least one second failure risk based on the at least one first failure risk and at least one of the candidate gas processing schemes.

Abstract: The present disclosure relates to an acoustic output apparatus. The acoustic output apparatus may include an earphone core including at least one acoustic driver for outputting sound though one or more sound guiding holes set on the acoustic output apparatus, a controller configured to cause the at least one acoustic driver to output sound, a power source assembly configured to provide electrical power to the earphone core, the one or more sensors, and the controller, and an interactive control component configured to allow an interaction between a user and the acoustic output apparatus.

Abstract: Provided are an obstacle detection method and apparatus, a self-walking robot, and a storage medium. The obstacle detection method includes: upon reception of a triggered feedback instruction, providing an interactive interface to allow a user to submit feedback information, the feedback information including a related picture and type information of an obstacle contained in the picture; and after learning that submission by the user is completed, sending the feedback information to a server or notifying a bond self-walking robot to send the feedback information to the server.

Abstract: One or more embodiments of the present disclosure relate to a vibration component, including: a mass element and an elastic element. The elastic element may include an enhanced region and a first preprocessing region. The enhanced region may be configured to support the mass element, and the first preprocessing region may provide a first displacement along a vibration direction of the mass element for the mass element.

Abstract: Some embodiments of the present disclosure provide a method, an Internet of Things system, and a storage medium for determining a street cleaning route in a smart city. The method may include obtaining street monitoring information of a target area; determining distribution of fallen leaves on the street; determining cleaning difficulty of each street in the target area; determining, based on the total amount of fallen leaves and the cleaning difficulty, at least one street to be cleaned from the target area; determining the continuous action sequence including cleaning actions for each of the streets to be cleaned; for any continuous action sequence of the at least one continuous action sequence, determining a reward value of each cleaning action of the continuous action sequence, and determining the return value of each continuous action sequence; and determining the fallen leaf cleaning route of the target area.

Abstract: The present disclosure relates to a pair of glasses. The pair of glasses may include a frame, one or more lenses, and one or more temples. The pair of glasses may further include at least one low-frequency acoustic driver, at least one high-frequency acoustic driver, and a controller. The at least one low-frequency acoustic driver may be configured to output sounds from at least two first guiding holes. The at least one high-frequency acoustic driver may be configured to output sounds from at least two second guiding holes. The controller may be configured to direct the low-frequency acoustic driver to output the sounds in a first frequency range and direct the high-frequency acoustic driver to output the sounds in a second frequency range. The second frequency range may include one or more frequencies higher than one or more frequencies in the first frequency range.

Abstract: The present disclosure relates to a pair of glasses. The pair of glasses may include a frame, one or more lenses, and one or more temples. The pair of glasses may further include at least one low-frequency acoustic driver, at least one high-frequency acoustic driver, and a controller. The at least one low-frequency acoustic driver may be configured to output sounds from at least two first guiding holes. The at least one high-frequency acoustic driver may be configured to output sounds from at least two second guiding holes. The controller may be configured to direct the low-frequency acoustic driver to output the sounds in a first frequency range and direct the high-frequency acoustic driver to output the sounds in a second frequency range. The second frequency range may include one or more frequencies higher than one or more frequencies in the first frequency range.

Abstract: Apparatuses and methods for drying objects are provided. The apparatus can comprise a housing configured to provide an airflow channel having an airflow inlet and an airflow outlet, an airflow generating element configured to effect an airflow through the airflow channel, and one or more radiation energy sources configured to generate infrared radiation and direct the infrared radiation toward an exterior of the housing. At least a portion of at least one of the one or more radiation energy sources does not contact the airflow channel or the airflow, thereby maintaining an operating temperature of the radiation energy source within a predetermined range.