Abstract: A common beam scanning retinal imaging system comprises: a light source module (1), an adaptive optics module (2), a beam scanning module (3), a small field-of-view relay module (5), a large field-of-view relay module (6), a sight beacon module (9), a pupil monitoring module (7), a detection module (8), a control module (10) and an output module (11). The system can perform real-time correction of human eye aberration by adaptive optics technology, and realize the confocal scanning imaging function in a large field of view and the adaptive optics high-resolution imaging function in a small field of view simultaneously by the common beam synchronous scanning configuration combined with the two relay optical path structures for both the small field of view and the large field of view. The system can not only observe disease lesions in a wide range on the retina by the large field-of-view imaging, but also observe fine structures of the lesions by the small field-of-view high-resolution imaging.

Abstract: Embodiments of the present disclosure disclose an audio content recognition method and apparatus, an electronic device and a non-transitory computer-readable medium. A specific implementation of the method includes: obtaining a voice fragment collection and a non-voice fragment collection by segmenting audio; determining a type and language information of each voice fragment in the voice fragment collection; obtaining, for each voice fragment in the voice fragment collection, a first recognition result by performing voice recognition on the voice fragment based on the type and the language information of the voice fragment. In the implementation, speaking and music fragments in the audio are recognized by different models, so that two audio contents may both have better recognition effects. Moreover, audio of different language contents is recognized by using different models, thereby further improving a voice recognition effect.

Abstract: The disclosure is related to a method and device for comparing media features, the method comprising: obtaining first media feature sequences of a first media object and second media feature sequences of a second media object, the first media feature sequence comprises a plurality of first media feature units arranged in sequence, and the second media feature sequence comprises a plurality of second media feature units arranged in sequence; determining unit similarities between the first media feature units and the second media feature units; determining a similarity matrix between the first media feature sequences and the second media feature sequences according to the unit similarities; determining a similarity of the first media object and the second media object according to the similarity matrix.

Abstract: Techniques are described for passive three-dimensional (3D) image sensing based on chromatic differentiation. For example, an object can be imaged by using a photodetector array to detect light reflected off of the object and focused through a lens onto the array. Light components of different wavelengths tends to be focused through the lens to different focal lengths, which can tend to impact the brightness of each wavelength as detected. For example, if the detector array is closer to a shorter-wavelength focal plane, a white spot will tend to be detected with a higher magnitude of blue light components than of red light components. Ratios of brightness magnitudes for different wavelengths vary in a manner that strongly correlates to object distance from the lens. Embodiments exploit this correlation to passively detect object distance. Some embodiments further provide various types of distance and/or chromatic calibration to further facilitate such detection.

Abstract: This application discloses a storage system, a data processing method, an apparatus, a node, and a storage medium, and pertains to the field of data storage technologies. In the method, a client determines an address that is in a storage unit and that is used to store to-be-written data, and sends the to-be-written data to a first storage device that is in a storage node and that is corresponding to the storage unit, so that the first storage device stores the to-be-written data while a CPU of the storage node does not need to determine a hard disk LBA corresponding to virtual address space, and a hard disk does not need to determine a corresponding physical address based on the hard disk LBA.

Abstract: A cell reselection method, performed by an electronic device, includes: in a case of detecting that the electronic device performs ping-pong reselection in multiple cells, obtaining a number of reselections; in a case that the number of reselections reaches a preset number of times. The cell reselection method further includes determining a target cell among the multiple cells. Reference Signal Received Power (RSRP) fluctuation of the target cell is less than a preset fluctuation threshold. Reference Signal Received Quality (RSRQ) within a camping period is greater than a first threshold. The cell reselection method also includes setting an offset value and accessing the target cell according to the offset value.

Abstract: Embodiments of this application disclose a data processing method, which is used in a storage system. The method in embodiments of this application includes: A network interface card device receives a first access request of a first client, where the first access request carries an access address; the network interface card device detects whether the first access request has a conflict; and when the network interface card device detects that the first access request has a conflict, the network interface card device processes the conflict according to a processing policy. In embodiments of this application, when a conflict occurs, the network interface card device processes the conflict according to the processing policy. This avoids conflict management performed by a processor of a storage node, and saves a resource of the processor of the storage node.

Abstract: Techniques are described for passive three-dimensional (3D) face imaging based on macro-structure and micro-structure image sizing, such as for biometric facial recognition. A set of images of a user's face is processed to extract authentication deterministic macro-structure (DMAS) measurements. A database includes profile DMAS measurements, profile location definitions for deterministic micro-structure (DMIS) feature regions, and profile DMIS signatures computed for the DMIS feature regions. A first-level authentication determination can be based on comparing the authentication DMAS measurements with the profile DMAS measurements. Authentication DMIS signatures can be computed from sub-images obtained for the DMIS feature regions at the profile location definitions. A second-level authentication determination can be based on comparing the authentication DMIS signatures with the profile DMIS signatures.

Abstract: Techniques are described for time-of-fly sensors with hybrid refractive gradient-index optics. Some embodiments are for integration into portable electronic devices with cameras, such as smart phones. For example, a time-of-fly (TOF) imaging subsystem can receive optical information along an optical path at an imaging plane. A hybrid lens can be coupled with the TOF imaging subsystem and disposed in the optical path so that the imaging plane is substantially at a focal plane of the hybrid lens. The hybrid lens can include a less-than-quarter-pitch gradient index (GRIN) lens portion, and a refractive lens portion with a convex optical interface. The portions of the hybrid lens, together, produce a combined focal length that defines the focal plane. The hybrid lens is designed so that the combined focal length is less than a quarter-pitch focal length of the GRIN lens portion and has less spherical aberration than either lens portion.

Abstract: Techniques are described for passive three-dimensional (3D) object authentication based on image sizing, such as for biometric facial recognition. For example, during a registration routine, an imaging system captures images of a registering user's face at multiple distances. The images can be processed to extract registration dimensions, including individual deterministic structural dimensions, dimensional relationships that are static over changes in imaging distance, and dimensional relationships that changes predictably over changes in imaging distance. During an authentication routine, the imaging system again captures authentication images of an authenticating user's face (purportedly the previously registered user) at some authentication imaging distance and processes the images to extract authentication dimensions.

Abstract: Systems, methods, and devices dynamically configure non-volatile memories. Devices include non-volatile memories comprising a plurality of memory regions, each of the plurality of memory regions having a configurable bit density. Devices also include control circuitry configured to retrieve user partition configuration data identifying a plurality of bit densities for the plurality of memory regions, convert a received user address to a plurality of physical addresses based, at least in part, on the plurality of bit densities, compare the user address with the user partition configuration data, and select one of the plurality of physical addresses based, at least in part, on the comparison.

Abstract: Techniques are described for integrating blood pressure measurement (BPM) into a portable electronic device. For example, an input interface of the device includes an integrated force sensor. Human-discernable feedback is output to the user, while using the force sensor to monitor fingertip pressure being applied by the user on the input interface, to guide the user into a first condition in which capillary fingertip blood flow (CFBF) is occluded. The human-discernable feedback is then output to the user, while continuing to use the force sensor to monitor the fingertip pressure, to guide the user into one or more subsequent conditions that allow non-occluded CFBF signals to be sensed by one or more sensors (e.g., the force sensor, an optical fingerprint sensor, etc.). The sensed non-occluded CFBF signals can be used to generate one or more CFBF-based BPM readings for the user (e.g., which can be calibrated to arterial BPM).

Abstract: An antibody specifically reactive with an epitope of collagen type X alpha 1 comprised in the NC1 domain C-terminal amino acid sequence SFSGFLVAPM-COOH (SEQ ID NO: 1), and a method of immunoassay for detecting in a biological sample an epitope in the NC1 domain C-terminal amino acid sequence SFSGFLVAPM-COOH (SEQ ID NO: 1) of collagen type X alpha 1, by contacting the biological sample with the antibody, and determining the amount of binding of the antibody.

Abstract: A traditional Chinese medicine composition for treating psoriasis, a preparation method therefor and a use thereof. The traditional Chinese medicine composition comprises: water buffalo horn powder, Japanese honeysuckle flower, gypsum, red peony root, peony bark, charred cape jasmine fruit, baical skullcap root, raw garden burnet root, and liquorice root. The preparation method comprises: proportionally weighing out the baical skullcap root, the Japanese honeysuckle flower, the red peony root, the peony bark, the gypsum, the charred cape jasmine fruit, the garden burnet root and the liquorice root, adding water and decocting 1 to 3 times, each time using 4 to 10 times the amount (weight to volume ratio) of water and decocting for 0.5 to 3 hours; combining decoctions, filtering, vacuum concentrating the filtrate, drying same, adding the water buffalo horn powder and mixing until evenly distributed.

Abstract: An electronic device includes a display screen that includes a cover glass, and a display illumination layer. The display illumination layer includes an array of light-emitting elements that forms an array of pixels of the display screen. The electronic device further includes a light source disposed adjacent the cover glass and configured to emit a light beam to be coupled into the cover glass. A portion of the light beam may be transmitted through the top surface of the cover glass to illuminate a hand of a user. The electronic device further includes an optical ID sensing module that includes an array of photodetectors disposed under the array of light-emitting elements and spatially distributed across the array of pixels of the display screen, and electronic circuitry coupled to the array of photodetectors and configured to capture a fingerprint image or a palmprint image of the hand.

Abstract: A pedestrian adaptive zero-velocity update point selection method based on a neural network, including the following steps: S1, collecting inertial navigation data of different pedestrians in different motion modes; S2, preprocessing the inertial navigation data collected in the step S1, labeling the preprocessed data, and obtaining a training data set, a validation data set, and a test data set according to the preprocessed data and a label corresponding to the preprocessed data; S3, inputting the training data set to a convolutional neural network for training, obtaining a pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and using the validation data set to validate the pedestrian adaptive zero-velocity update point selection model; and S4, inputting the test data set into the pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and obtaining a selection result of pedestrian zero-velocity update poi

Abstract: An embodiment of the disclosure provides a live steam sampling method and device and electronic equipment, which belong to the technical field of image processing. The method comprises: extracting multi-frame sampled images from live stream; screening out forward similar images from all sampled images, wherein the forward similar images are sampled images similar to a sampled image of a previous adjacent frame; and taking the rest of the sampled images, except from the forward similar images, in all sampled images as sampled images of the live stream. According to the solution of the disclosure, a solution of effectively eliminating the forward similar images in sampling operation based on a FPS is realized, thereby avoiding the leakage conditions, reducing total workload of sampling and checking, and improving efficiency of live stream sampling.

Abstract: The present invention discloses an aspheric lens eccentricity detecting device based on wavefront technology and a detecting method thereof. The device comprises: an upper optical fiber light source, an upper collimating objective lens, an upper light source spectroscope, an upper beam-contracting front lens, an upper beam-contracting rear lens, an upper imaging detector, an upper imaging spectroscope, an upper wavefront sensor, a lens-under-detection clamping mechanism, a lower light source spectroscope, a lower beam-contracting front lens, a lower beam-contracting rear lens, a lower imaging spectroscope, a lower wavefront sensor, a lower imaging detector, a lower collimating objective lens and a lower optical fiber light source.

Abstract: Disclosed are a pharmaceutical composition and an application thereof. The pharmaceutical composition of the present invention comprises the following components in parts by weight: 2-20 parts of phenolic acids, 0.5-5 parts of flavonoids, 0.005-0.5 part of tanshinones, 5-20 parts of saponins, and 10-18 parts of volatile oils. The pharmaceutical composition has the functions of protecting against myocardial damage and treating heart failure.

Abstract: A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images; stage-by-stage processing each of the one or more frames of images by multi-typed pooling processes to obtain an image feature of the one or more frames of images; and determining a video feature according to the image feature of the one or more frames of images. The multi-typed pooling processes include a maximum pooling process, a minimum pooling process and an average pooling process.