Abstract: A method, an apparatus, a system, an electronic device, a computer program product, and a computer-readable storage medium for home care are disclosed. The method includes (i) generating, by a first intelligent agent, a strategy for home care for a user in a current care cycle, based on first historical data and second historical data associated with the home care, the first historical data being generated prior to a current moment in the current care cycle, and the second historical data being generated in a plurality of historical care cycles, (ii) generating, by a second intelligent agent of a plurality of second intelligent agents, a task that may be performed by a tool of home care based on the strategy and the first historical data, and (iii) performing the task through the tool by a third intelligent agent of a plurality of third intelligent agents, which is associated with the second intelligent agent.

Abstract: A target identification method includes: obtaining an image containing a target to be identified, performing feature extraction on the image to obtain image features in the image; and inputting the image features into a target identification network model to obtain an identification result that determines a class to which the target to be identified belongs. The target identification network model includes a loss function that is based on intra-class constraints and inter-class constraints. The intra-class constraints are to constrain an intra-class distance between sample image features of a sample target and a class center of a class to which the sample target belongs, and the inter-class constraints are to constrain inter-class distances between class centers of different classes, and/or inter-class angles between the class centers of different classes.

Abstract: A person re-identification method, a storage medium, and a terminal device are provided. In the method, a preset ratio-based triplet loss function is used as a loss function during training. The ratio-based triplet loss function limits a ratio of a positive sample feature distance to a negative sample feature distance to be less than a preset ratio threshold. The positive sample feature distance is a distance between a reference image feature and a positive sample image feature, and the negative sample feature distance is a distance between the reference image feature and a negative sample image feature. Compared with the existing absolute distance-based triplet loss function, in the case of small inter-class differences and large intra-class differences, the ratio-based triplet loss function can effectively improve the stability of model training, the features extracted by the trained model are more discriminative and robust, thereby improving the accuracy of person re-identification results.

Abstract: A method for pedestrian body part feature extraction is provided, including: performing global feature extraction on a target pedestrian image to obtain a global feature map; learning each of body parts in the global feature map using a self-produced supervision signals-based self-regulated channel attention model to output first channel attention vectors each describing a respective one of the body parts; weighting the first channel attention vectors with the global feature map to obtain a weighted feature map describing the body parts; and extracting body part features of the target pedestrian image from the weighted feature map.

Abstract: Aspects described herein relate to executing address sanitization of instructions for accessing memory. A translation lookaside buffer (TLB) entry indicating a virtual memory page and an address sanitization mode for the virtual memory page can be obtained for a virtual memory address specified in an instruction for accessing memory. It can be determined, based on the address sanitization mode, whether to enable address sanitization for the instruction for accessing memory. A physical memory address corresponding to the virtual memory address indicated in the TLB entry can be accessed based on the instruction for accessing memory.

Abstract: Methods, devices, systems, and techniques for managing conductive structure in semiconductor devices are provided. In one aspect, a semiconductor device includes a memory cell. The memory cell includes a first transistor and a second transistor. The first transistor includes a first semiconductor body extending along a first direction, a first conductive structure that is connected to the first semiconductor body, and a first gate structure that extends along the first direction, where the first semiconductor body is between the first conductive structure and the first gate structure along a second direction perpendicular to the first direction. The second transistor includes a second semiconductor body extending along a first direction, and a second conductive structure, where the second conductive structure is connected to the first conductive structure.

Abstract: The technology described herein is directed towards using a wearable passive metasurface (e.g., configured as a ring) to reflect signals representative of user interaction with computer peripheral devices (e.g., a mouse and keyboard) coupled to a computing device. The reflected signals indicate current user interaction with the device obtained over a timeframe. A short term classifier model set processes features of the user interaction patterns, extracted from time and frequency domain analyses, to recognize activity from the interaction pattern data of a user, as well as detect any deviations from the user's ordinary interaction behavior, possibly indicating a different user. A long term classification model inputs the user interaction pattern data and the recognized activity, to output authentication response data, such as confidence level data, for comparison with a confidence level threshold, to determine via the interaction pattern data whether the user is an authorized user of the computing device.

Abstract: A method for extracting video features may include: obtaining a target video sequence that comprises a number of video frames; performing video frame feature extraction on the target video sequence to obtain video frame features of each of the video frames; performing feature weight calculation on each of the video frame features to obtain the feature weight of each of the video frame features; wherein the feature weight of each of the video frame features is determined by the video frame features of all of the video frames in the target video sequence; and performing feature weighting on each of the video frame features according to the feature weight of each of the video frame features to obtain video features of the target video sequence.

Abstract: The technology described herein is directed towards a passive wearable device with a metasurface, such as in the form of a ring or wristband. The wearable device reflects a transmitted scanning signal to a receiver coupled to a computing device, such as for automatic user proximity detection, user authentication and/or other security purposes. In one implementation, unit cells having resonators in the shape of symmetrical concentric rings around a central disk provide a wide-angle, orientation insensitive ultra-thin and compact wearable device. The symmetry of the unit cells results in the orientation insensitivity, (polarization insensitivity in electromagnetic terms), as well as operating generally independent of the angle of incidence of the transmitted scanning signal. In another implementation, the unit cells for passive wearable devices have resonators in the shape of notched rings, which results in a wide-angle, distance insensitive wearable device that is also significantly orientation insensitive.

Abstract: The technology described herein is directed towards a passive wearable device with a metasurface, such as in the form of a ring or wristband. The wearable device reflects a transmitted scanning signal to a receiver coupled to a computing device, such as for automatic user proximity detection, user authentication and/or other security purposes. In one implementation, unit cells having resonators in the shape of symmetrical concentric rings around a central disk provide a wide-angle, orientation insensitive ultra-thin and compact wearable device. The symmetry of the unit cells results in the orientation insensitivity, (polarization insensitivity in electromagnetic terms), as well as operating generally independent of the angle of incidence of the transmitted scanning signal. In another implementation, the unit cells for passive wearable devices have resonators in the shape of notched rings, which results in a wide-angle, distance insensitive wearable device that is also significantly orientation insensitive.

Abstract: The technology described herein is directed towards using a wearable passive metasurface (e.g., in the form of a ring) to reflect signals representative of user interaction with computer peripheral devices (e.g., a mouse and keyboard) coupled to a computing device. The reflected signals correspond to user interaction pattern data (user activity profile data) during times of user interaction with the computer. In one implementation, a multi-modal machine learning (ML) classifier processes features of the user interaction pattern data, extracted from time and frequency domain analyses, to recognize habitual interaction patterns of a user, as well as detect any deviations from the user's ordinary interaction behavior, possibly indicating a different user. An interaction pattern that is associated with the user can facilitate ongoing authentication.

Abstract: A method for obtaining a feature extraction model, a method for human fall detection and a terminal device are provided. The method for human fall detection includes: inputting a human body image into a feature extraction model for feature extraction to obtain a target image feature; in response to a distance between the target image feature and a pre-stored mean value of standing category image features being greater than or equal to a preset distance threshold, determining that the human body image is a human falling image; and in response to the distance being less than the preset distance threshold, determining that the human body image is a human standing image. The feature extraction model is obtained based on constraint training to aggregate standing category image features and separate falling category image features from the standing category image features.

Abstract: A method to predict and fit an APC of a LEO satellite considering attitude information is provided, which includes: transforming a spacecraft body-fixed coordinate system, obtaining a transformation matrix from orbital coordinate system to transformed spacecraft body-fixed coordinate system, obtaining rotation angles during a rotation process, obtaining rotation angles in orbit determination time period to predict rotation angles in orbit prediction time period, obtaining a transformation matrix from spacecraft body-fixed coordinate system to Earth-fixed coordinate system of each prediction moment, obtaining a correction vector from a CoM to a phase center of a downlink signal antenna in the Earth-fixed coordinate system at each prediction moment, and obtaining an orbit of the phase center of the downlink signal antenna of a LEO satellite, and performing an ephemeris parameter fitting on the orbit of the phase center of the downlink signal antenna of the LEO satellite in a fitting time period.

Abstract: The technology described herein is directed towards designing and implementing multibeam metasurfaces, based on deriving the directions of grating lobes within a general rectangular grid structure. The derivation is used to design and implement multibeam metasurfaces. A multibeam metasurface is designed based on the directions of the grating lobes and desired beam splitting angles, which are used to determine unit cell/element grid characteristics of periodicity data and orientation. When deployed, the multibeam metasurface splits an impinging electromagnetic wave/beam in the desired multiple beam splitting directions. In one implementation, the multibeam metasurface is implemented in a single surface.

Abstract: A target identification method includes: obtaining an image containing a target to be identified; performing feature extraction on the image to obtain image features in the image; and inputting the image features into a target identification network model to obtain an identification result that determines a class to which the target to be identified belongs. The target recognition network model includes a loss function that is to constrain a first distance corresponding to each triplet in a number of triplets and a second distance corresponding to each triplet in the triplets. The first distance represents a distance between anchor image features and positive sample image features in each triplet in the triplets, and the second distance represents a distance between the anchor image features and a class center mean of a number of classes in each triplet in the triplets.

Abstract: A display panel has a display region and a non-display region, and the non-display region includes a second bendable region. The display panel includes a substrate, a first inorganic layer, an organic protection layer, a light-emitting function layer, an encapsulation layer, and a second inorganic layer. The second inorganic layer is disposed on a side of the encapsulation layer away from the substrate and extends from the display region to the non-display region and beyond a boundary of the encapsulation layer. A plurality of openings are provided in an edge part of the second inorganic layer away from the display region.

Abstract: The technology described herein is directed towards a design and implementation of a unit cell for a reconfigurable intelligent surface/reflectarray by incorporating reconfigurability within a phase-delay element of the unit cell. Reconfigurability is directly incorporated into the unit cell via a variable length phase delay line element and PCM-based (e.g., mmWave) phase shifter that determines the unit cell's phase shift by changing the length of the phase delay line element. One implementation is directed to a monolithic integration of the element using chalcogenide materials as switch elements with pulsed actuation to switch among different available lengths that determine the length of the phase delay line element, resulting in a significant reduction in power consumption, area saving, and digital reconfigurability.

Abstract: A human body information extraction method includes: obtaining a target image to be detected; performing shallow feature extraction on the target image by using a first feature extraction network in a preset human body information extraction model to obtain shallow features of the target image; performing deep feature extraction on the shallow features by using a second feature extraction network in the human body information extraction model to obtain deep features of the target image; performing multi-scale feature fusion on the shallow features and the deep features by using a feature fusion network in the human body information extraction model to obtain fused features of the target image; and performing a fully connected operation on the fused features by using a fully connected network in the human body information extraction model to obtain human body information corresponding to the target image.

Abstract: Disclosed herein are impedance-based biosensor systems comprising an impedance-based biosensor having an electrode, a meter in electrical communication with the electrode, a processor in electrical communication with the impedance-based biosensor and the meter, and a memory storing instructions to be executed by the processor. The instructions can cause the impedance-based biosensor system to measure the impedance of the electrode, derive one or more electrical properties of the impedance-based biosensor from the impedance of the electrode, and calculate a viable cell count based on the one or more electrical properties.

Abstract: The technology described herein is directed towards a metasurface arranged with unit cells for narrowband sound absorption, in which the unit cells are based on Helmholtz resonators that can have their resonant frequencies adjusted via actuators, e.g., piezoelectric motors. A sound absorbing unit-cell is designed and constructed based on a general resonance frequency, and includes a neck portion and air chamber dimensioned to resonate close to the desired resonance frequency and thereby inverse phase cancel corresponding narrowband frequencies of incoming sound waves. Moveable partitions in the resonators, controlled by piezoelectric actuators, facilitates changing of the resonators' air cavity dimensions, to adjust the resonant frequencies to cancel acoustic waves of different frequencies corresponding to noise, which can change over time. The unit cells can be distributed as part of a metasurface, which can be positioned proximate to a noise source to phase cancel the noise.