Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: A sample processing apparatus (100) and a use method therefor. The sample processing apparatus (100) comprises a uniform mixing mechanism (130) and a magnetic attraction mechanism (140). The sample processing apparatus (100) further comprises at least one of a sample tube (110) and a reaction tube (120). The uniform mixing mechanism (130) is configured to perform uniform mixing processing on a biological sample in the sample tube (110) and/or a biological sample in the reaction tube (120). The magnetic attraction mechanism (140) comprises a magnet (141). The magnet (141) can move relative to the sample tube (110) and/or the reaction tube (120), so as to perform magnetic attraction processing on the biological sample in the sample tube (110) and/or the biological sample in the reaction tube (120).

Abstract: An automatic extraction device and a use method therefor. The automatic extraction device comprises a sample processing apparatus (100), a portal frame (200), a consumable assembly (300), and a pipetting apparatus (400). The sample processing apparatus (100) comprises a uniform mixing mechanism (130) and a magnetic attraction mechanism (140), which are respectively used for performing uniform mixing processing and magnetic attraction processing on a biological sample. The portal frame (200) comprises a base (201) and a moving beam (202) capable of moving relative to the base (201). The sample processing apparatus (100) and the consumable assembly (300) are provided on the base (201). The pipetting apparatus (400) is provided on the moving beam (202) for implementing a pipetting operation between the consumable assembly (300) and the sample processing apparatus (100).

Abstract: The present disclosure provides example satellite communication method, terminal device, and computer-readable storage medium. One example method includes receiving a first system message sent by a first satellite, where the first system message indicates a mean anomaly of the first satellite at an ephemeris reference time. A topology of a satellite network to which the first satellite belongs is determined based on the first system message.

Abstract: This application provides an image processing method and an electronic device. The image processing method includes: acquiring a plurality of frames of original images; adding a reference coordinate image layer to a second field-of-view image; obtaining an image layer set according to a first field-of-view image, the second field-of-view image, and the reference coordinate image layer; processing, by using a deep learning network model, the image layer set to obtain a first enhanced image; and obtaining a second enhanced image according to the first enhanced image. In the method, since the added reference coordinate image layer reflects a mapping relationship between a field of view corresponding to the first field-of-view image and a field of view corresponding to the second field-of-view image, through the addition of the reference coordinate image layer, priori information can be added, so that different adjustments can be made subsequently according to different field-of-view relationships.

Abstract: A self-calibration detection device and a temperature demodulation method oriented to a fiber Raman temperature sensing system. The self-calibration detection device comprises a fiber Raman thermodetector, thermostatic baths, a multi-mode sensing fiber, and a multi-mode reflector. The fiber Raman thermodetector comprises a pulsed laser whose output end is connected to the input end of a WDM. Two output ends of the WDM are respectively connected to input ends of a first and second APDs. Output ends of the first and second APDs are respectively connected to input ends of a first and second LNAs. Output ends of the first and second LNAs are connected to the input end of a data acquisition card whose output end is connected with the input end of a computer. The temperature demodulation method can solve the problems of low temperature measuring accuracy, lower temperature measurement stability and low temperature measurement efficiency.

Abstract: In a cell handover method and apparatus, first network device of a first cell obtains user information of a terminal device, and then the first network device may determine handover information based on the user information and running information of the first network device, so that after the first network device sends an RRC message including the handover information to the terminal device, the terminal device may perform N consecutive cell handovers based on the handover information. In the N cell handovers, the first network device only needs to obtain the user information once, to configure handover conditions for the N subsequent handovers in advance at a time. This simplifies a network signaling procedure, reduces network overheads, and reduces handover response time. The embodiments of this disclosure are applicable to a network handover in a satellite scenario.

Abstract: A method for film coating by pulsed laser deposition with a plasma grating includes: in step 1, providing a substrate and a target material; in step 2, generating a femtosecond pulsed laser beam which is split by a beam splitting module so as to form a plurality of femtosecond pulsed laser sub-beams; in step 3, performing a first excitation on the target material by one of the split femtosecond pulsed laser sub-beams as a pre-pulse after focus, to generate a first plasma; in step 4, synchronizing the rest of the split femtosecond pulsed laser sub-beams as post-pulses to form, after focus, filaments arriving at a surface of the target material simultaneously, to generate the plasma grating; and in step 5, performing a secondary excitation on the target material by the generated plasma grating to generate a second plasma depositing on the substrate to form the film.

Abstract: A processing method and apparatus for ultrafast laser deposition of a multilayer film including a diamond-like carbon film, an anti-reflection film and an anti-fingerprint film includes: generating primary plasma by first excitement on a target material with a femtosecond or picosecond pulsed laser beam as a pre-pulse; and generating secondary plasma by second excitement on the target material under plasma grating, formed by allowing two femtosecond pulsed laser beams to intersect at a small include angle for interaction in the primary plasma, for deposition to coat a film.

Abstract: The present invention belongs to the technical field of computer vision, and provides a video semantic segmentation method based on active learning, comprising an image semantic segmentation module, a data selection module based on the active learning and a label propagation module. The image semantic segmentation module is responsible for segmenting image results and extracting high-level features required by the data selection module; the data selection module selects a data subset with rich information at an image level, and selects pixel blocks to be labeled at a pixel level; and the label propagation module realizes migration from image to video tasks and completes the segmentation result of a video quickly to obtain weakly-supervised data. The present invention can rapidly generate weakly-supervised data sets, reduce the cost of manufacture of the data and optimize the performance of a semantic segmentation network.

Abstract: Illustrative embodiments provide a method and system for communicating air traffic control information. An audio signal comprising voice activity is received. Air traffic control information in the voice activity is identified using an artificial intelligence algorithm. A text transcript of the air traffic control information is generated and displayed on a confirmation display. Voice activity in the audio signal may be detected by identifying portions of the audio signal that comprise speech based on a comparison between the power spectrum of the audio signal and the power spectrum of noise and forming speech segments comprising the portions of the audio signal that comprise speech.

Abstract: The embodiments of the present application discloses an image processing method, an image processing apparatus, an image processing device and a computer-readable storage medium.

Abstract: The disclosure features systems, devices, and methods of sectioned compaction of composite materials for large parts. An example system includes a mold assembly, including a bottom wall, one or more side walls coupled to the bottom wall, one or more pistons, wherein the bottom wall, the one or more side walls, and the one or more pistons at least partially define a mold cavity, and wherein each of the one or more pistons are independently movable to reduce the volume of the mold cavity; and a plurality of fasteners configured to selectively immobilize the one or more pistons; and a compression actuator configured to sequentially advance the pistons from an initial position to an actuated position to compress a composite material within the mold cavity.

Abstract: A system is described. The system includes a first region and a second region. The first region is configured to retain particles and has a first characteristic dimension. The second region is communicatively coupled with the first region such that the particles can travel between the first region and the second region. The second region has a second characteristic dimension of not larger than twice a characteristic length for the particles. The second region has a barrier that offers resistance to or interruption in particle movement.

Abstract: An action recognition method and apparatus related to artificial intelligence and include extracting a spatial feature of a to-be-processed picture, determining a virtual optical flow feature of the to-be-processed picture based on the spatial feature and X spatial features and X optical flow features in a preset feature library, where the X spatial features and the X optical flow features include a one-to-one correspondence, determining a first type of confidence of the to-be-processed picture in different action categories based on similarities between the virtual optical flow feature and Y optical flow features, where each of the Y optical flow features in the preset feature library corresponds to one action category, X and Y are both integers greater than 1, and determining an action category of the to-be-processed picture based on the first type of confidence.

Abstract: A method of manufacturing a battery includes introducing a first material to the battery, providing an anode, a cathode and a separator of the battery; and assembling the anode, the separator and the cathode. The first material is configured and arranged to increase the internal impedance of the battery upon mechanical or thermal loading.

Abstract: A micro-displacement amplifying apparatus comprises two sets of asymmetrical amplifying structures; each set of asymmetrical amplifying structure comprises a plurality of asymmetrical amplifying units connected in series by flexible hinges; the asymmetrical amplifying unit is used for amplifying a micro-displacement; the two sets of asymmetrical amplifying structures are in opposite positions and overlap with each other; the input end and output end are coupled to the asymmetrical amplifying unit by a flexible hinge, respectively; the input end is used for inputting the micro-displacement to the asymmetrical amplifying unit, and the output end is used for outputting the amplified displacement; the two contacting input ends are fixed and coupled to each other, and the two contacting output ends are fixed and coupled to each other. The present disclosure further discloses an amplification method of the micro-displacement amplifying apparatus.

Abstract: An action recognition method and apparatus related to artificial intelligence and include extracting a spatial feature of a to-be-processed picture, determining a virtual optical flow feature of the to-be-processed picture based on the spatial feature and X spatial features and X optical flow features in a preset feature library, where the X spatial features and the X optical flow features include a one-to-one correspondence, determining a first type of confidence of the to-be-processed picture in different action categories based on similarities between the virtual optical flow feature and Y optical flow features, where each of the Y optical flow features in the preset feature library corresponds to one action category, X and Y are both integers greater than 1, and determining an action category of the to-be-processed picture based on the first type of confidence.

Abstract: Action recognition methods are disclosed.

Abstract: A prediction method for selecting a target object for use in an electronic device is provided. The method includes the steps of: (A) displaying a plurality of objects and a cursor on a display of the electronic device; (B) obtaining moving speed, a moving vector, and a cursor position of the cursor as well as a plurality of object positions of the objects; (C) in response to the cursor position and the object positions satisfying a predetermined condition, determining whether a previously selected object exists; (D) in response to the previously selected object existing and the moving speed of the cursor being greater than a speed threshold, selecting the object with the shortest distance to the cursor as the target object by referencing the previously selected object and referring to the motion vector.