Abstract: A method includes calculating an initial phase ?gv of each air gap working magnetic field Bgv required to generate positive back EMF based on certain parameters of each armature harmonic vth; generating Bgv and maximizing a sum of equivalent air gap flux density amplitude Beqv of each of the air gap working magnetic fields Bgv while calculating a phase ?mv and a pole arc coefficient ?v corresponding to each permeance harmonic; designing a number, a position(s) and a length(s) along a circumference of modulation teeth corresponding to each of the permeance harmonics based on the phase ?mv and the pole arc coefficient ?v, such that a generated permeance model is consistent with the phase ?mv of each of the permeance harmonics; and optimizing radial dimensions of modulation teeth corresponding to each of the permeance harmonics to maximize the sum of equivalent air gap flux density amplitude Beqv.

Abstract: Examples of techniques for interactive generation of labeled data and training instances are provided. According to one or more embodiments of the present invention, a computer-implemented method for interactive generation of labeled data and training instances includes presenting, by the processing device, control labeling options to a user. The method further includes selecting, by a user, one or more of the presented control labeling options. The method further includes selecting, by a processing device, a representative set of unlabeled data samples based at least in part on the control labeling options selected by the user. The method further includes generating, by a processing device, a set of suggested labels for each of the unlabeled data samples.

Abstract: An ophthalmic apparatus includes an illumination optical system, an imaging optical system, and a controller. The illumination optical system is configured to generate illumination light using light from a light source, and to illuminate a changeable illumination region on a predetermined site of a subject's eye with the illumination light having a light intensity corresponding to a size of the illumination region. The imaging optical system is configured to guide returning light of the illumination light from the subject's eye to a light receiving surface of an image sensor. The controller is configured to control the image sensor to set an opening range so as to overlap an illumination range of the returning light on the light receiving surface corresponding to the illumination region and to capture a light receiving result obtained by a light receiving element in the set opening range.

Abstract: An inspection device for subway tunnel based on three-dimensional laser scanning includes a three-dimensional laser scanner, an adaptive structure of a track trolley, a power control module for the track trolley, a photoelectric sensor and a body of the track trolley. The power control module is arranged on the body. A support rod is vertically arranged on the power control module, and the three-dimensional laser scanner is mounted at a top of the support rod. The adaptive structure is symmetrically arranged at two sides of the body of the track trolley, and the photoelectric sensor is arranged in the body of the track trolley. The inspection device is designed to be modular, which is convenient to carry and repair, and easy to mount. In addition, the inspection device has low labor cost due to less manual intervention, and the inspection efficiency can be improved.

Abstract: The present invention discloses a stator, a rotor and a multi-working-harmonic permanent magnet motor using the above rotor and the stator, wherein the N poles and the S poles are alternately distributed in a circumference direction of the rotor core or the stator core; any N pole comprises at least one N-pole permanent magnet; any S pole comprises at least one S-pole permanent magnet; and at least two adjacent N pole and S pole has different widths. According to the invention, through the arrangement of magnetic poles with different widths on a rotor or a stator, it is possible to generate magnetic fields containing a plurality of harmonic magnetic fields with high amplitudes so that the harmonic magnetic fields can interact with the magnetic fields generated by the armature windings of the permanent motor to realize the superposition of multi-part torques, thereby further enhancing the outputted torque of the motor.

Abstract: An example method for managing datasets produced by alert-triggering search queries may include producing a dataset by executing a search query on a portion of data associated with a time window defined relative to a current time. The method may further include responsive to determining that a portion of the dataset satisfies a condition defining an alert, generating an instance of the alert. The method may further include associating, by a memory data structure, the instance of the alert with an identifier of the query and a parameter specifying a time of execution of the query that has triggered the instance. The method may further include receiving a request for the dataset portion. The method may further include substituting, in a definition of the time window, the current time with the time parameter. The method may further include reproducing the dataset portion by re-executing the query using the time window.

Abstract: The present invention provides a method for constructing a next-generation sequencing library for detecting low-frequency mutations, and a kit thereof. The constructing method comprises steps of obtaining blunt-end DNA fragments, obtaining DNA fragments with A-tail at the 3? end, obtaining adapter-added DNA fragments using a specific nucleotide sequence and obtaining amplification products using a specific nucleotide sequence.

Abstract: A construction method for a shallow-buried multi-arch tunnel under water-rich geological conditions includes the following steps: cleaning a grouting ground surface; marking a grouting reinforcement scope; performing survey setting-out; drawing a cross-section diagram to scale; calculating out coordinates and angles of anchor points that need to be set; marking drilling positions; nailing small wooden piles at the drilling positions for identifying; determining a setting depth of the anchor rods according to ground elevation; drilling holes, cleaning bottom of hole, grouting, performing construction preparation, performing long pipe shed construction at the entrance after an earth-rock of a tunnel entrance and an open cut tunnel is excavated to flush with a springing line of the tunnel. A down-the-hole drill is used for drilling in construction. Long pipe shed grouting is designed based on solidifying a soil mass in limited scope around a consolidation pipe shed.

Abstract: An example method for managing datasets produced by alert-triggering search queries may include producing a dataset by executing a search query on a portion of data associated with a time window defined relative to a current time. The method may further include responsive to determining that a portion of the dataset satisfies a condition defining an alert, generating an instance of the alert. The method may further include associating, by a memory data structure, the instance of the alert with an identifier of the query and a parameter specifying a time of execution of the query that has triggered the instance. The method may further include receiving a request for the dataset portion. The method may further include substituting, in a definition of the time window, the current time with the time parameter. The method may further include reproducing the dataset portion by re-executing the query using the time window.

Abstract: Examples of techniques for adaptive model training are provided. According to one or more embodiments of the present invention, a computer-implemented method for adaptive model training includes generating, by a processing system, a training instance based at least in part on a plurality of images that match a contextual specification of a target visual domain. The method further includes extracting, by the processing system, objects from one of the plurality of images. The method further includes for each extracted object, generating, by the processing system, a plurality of machine learning model features and label recommendations for a user.

Abstract: An information displaying method for a terminal device, and a terminal device, where the method includes displaying, by the terminal device, prompt information on a screen of the terminal device when the terminal device is in a screen-locked state, collecting, by the terminal device, a user face image using a camera of the terminal device, and displaying, by the terminal device on the screen of the terminal device, content information corresponding to the prompt information when the user face image matches an image template stored in the terminal device. According to the information displaying method, related information is displayed through facial recognition without releasing the screen-locked state of a mobile phone such that convenience of information displaying is improved while information security is ensured.

Abstract: The present invention provides a method for constructing a next-generation sequencing library for detecting low-frequency mutations, and a kit thereof. The constructing method comprises steps of obtaining blunt-end DNA fragments, obtaining DNA fragments with A-tail at the 3? end, obtaining adapter-added DNA fragments using a specific nucleotide sequence and obtaining amplification products using a specific nucleotide sequence.

Abstract: A method includes training, using at least one processor, a specialized teacher model to perform visual object instance segmentation in order to segment and classify objects in first training images. The first training images contain foreground objects without backgrounds. The method also includes training, using the at least one processor, a student model to perform visual object instance segmentation in order to segment and classify objects in second training images. The second training images contain the foreground objects and the backgrounds. Training the student model includes using selected outputs of the specialized teacher model. The method further includes deploying the trained student model to perform visual object instance segmentation in an external device.

Abstract: A telemedicine data transfer system receives telemedicine data from a data source and decides whether to transmit the telemedicine data to a remote end circuit or prevent transmission of the telemedicine data to the remote end circuit based on a result of an evaluation. A telemedicine data transfer system includes image compression and decompression circuits. The decompression circuit may produce decompressed and enhanced telemedicine data. The image compression and decompression circuits include neural networks trained using an objective function to evaluate a difference between a training input data provided to the image compression circuit and a training output data that is output from the image decompression circuit. The training output data is made different from the training input data by a data enhancement operation performed on the training output data prior to the evaluation.

Abstract: An electronic device displays an interface of a first application that includes a first input box, and receives a first operation of selecting the first input box by a user. The electronic device displays, in response to the first operation, an interface of an input method application, where the interface of the input method application includes a first candidate content. The electronic device displays an interface including a second input box, and receives a second operation of selecting the second input box by the user. The electronic device displays, in response to the second operation, another interface including second candidate content, and the second candidate content is different from the first candidate content.

Abstract: Disclosed are a centrifugal fan blade assembly and a centrifugal fan, comprising a plurality of blades, a blade leading edge of at least some of the blades being provided with an interference groove, the interference groove extending in a width direction of the blade. By providing the interference groove extending in the width direction of the blade on the blade leading edge, when the fan blade assembly is running, the interference groove changes noise frequency, thereby preventing the blade leading edge from producing a relatively large broadband noise after being impacted by a high speed air flow, thus effectively reducing noise.

Abstract: Examples of techniques for adaptive model training are provided. According to one or more embodiments of the present invention, a computer-implemented method for adaptive model training includes generating, by a processing system, a training instance based at least in part on a plurality of images that match a contextual specification of a target visual domain. The method further includes extracting, by the processing system, objects from one of the plurality of images. The method further includes for each extracted object, generating, by the processing system, a plurality of machine learning model features and label recommendations for a user.

Abstract: Optical coherence tomography (OCT) angiography (OCTA) data is generated by one or more machine learning systems to which OCT data is input. The OCTA data is capable of visualization in three dimensions (3D) and can be generated from a single OCT scan. Further, motion artifact can be removed or attenuated in the OCTA data by performing the OCT scans according to special scan patterns and/or capturing redundant data, and by the one or more machine learning systems.

Abstract: Examples of techniques for adaptive object recognition for a target visual domain given a generic machine learning model are provided. According to one or more embodiments of the present invention, a computer-implemented method for adaptive object recognition for a target visual domain given a generic machine learning model includes creating, by a processing device, an adapted model and identifying classes of the target visual domain using the generic machine learning model. The method further includes creating, by the processing device, a domain-constrained machine learning model based at least in part on the generic machine learning model such that the domain-constrained machine learning model is restricted to recognize only the identified classes of the target visual domain. The method further includes computing, by the processing device, a recognition result based at least in part on combining predictions of the domain-constrained machine learning model and the adapted model.

Abstract: A Barley stripe mosaic virus-based gene editing vector system, comprising artificial plasmids separately containing Barley stripe mosaic virus RNA?, RNA?, and RNA?. The required sgRNA sequence is integrated in RNA? or RNA?. The Barley stripe mosaic virus-based gene editing vector system can perform efficient gene editing on genomes of dicotyledons such as Nicotiana benthamiana and monocotyledons such as wheat and maize.