Abstract: Disclosed is a display device, a source driving circuit and a display system, the source driving circuit (2200) comprises a plurality of source driving units (2210); a power supply line used for supplying a power supply voltage (VSP), and a plurality of power supply nodes are distributed on the power supply line, each source driving unit is connected to a corresponding power supply node so as to receive the power supply voltage. The source driving circuit further comprises an equalization line, having a receiver end for receiving an equalizing voltage, when a first enable signal is active, the equalization line provides the equalizing voltage to each source driving unit, and when the first enable signal is not active, the equalization line stop receiving the equalizing voltage, and at least a portion of the equalization line can be connected in parallel to at least a portion of the power supply line.

Abstract: Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.

Abstract: The disclosure discloses a high-efficiency short training field sequence generation method, a signal sending method, a signal receiving method, and related apparatuses, where the high-efficiency short training sequence generation method includes: increasing frequency domain density of a frequency domain sequence corresponding to a first high-efficiency short training field sequence to generate a frequency domain sequence with increased frequency domain density; generating a second high-efficiency short training field sequence according to the frequency domain sequence with increased frequency domain density; and using the second high-efficiency short training field sequence as a high-efficiency short training field sequence in a preamble sequence of a data transmission frame in a wireless local area network WLAN.

Abstract: The present invention discloses a virtual community system for an elderly health service based on a big data technology, including an information obtaining module for obtaining personal information of elderly people, a management platform for processing user information, a recommendation module for sending recommended information to a user, and a backend terminal for providing a manual service. The information obtaining module includes a locator, configured to obtain the elderly people's position information to prevent the elderly people from getting lost; and a health bracelet, configured to detect the elderly people's heart rate and blood pressure which directly reflect the elderly people's physical condition. The present invention is designed to meet an existing need. One-time treatment for a lifetime medical service is implemented based on existing medical data and personal data acquired by health equipment.

Abstract: Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.

Abstract: A freeform surface imaging spectrometer system including a primary mirror, a secondary mirror, a tertiary mirror, and a detector is provided. The secondary mirror is a grating having a freeform surface shape, and the grating having the freeform surface shape is obtained by intersecting a set of equally spaced parallel planes with a freeform surface. A plurality of feature rays exiting from a light source is successively reflected by the primary mirror, the secondary mirror and the tertiary mirror to form an image on an image sensor. A reflective surface of each of the primary mirror, the tertiary mirror surface and the tertiary mirror is an xy polynomial freeform surface.

Abstract: The present invention relates to non-naturally occurring polypeptides useful for preparing armodafinil, polynucleotides encoding the polypeptides, and methods of using the polypeptides. The non-naturally occurring polypeptides of the present invention are effective in carrying out biocatalytic conversion of the (i) 2-(benzhydrylsulfinyl)acetamide to (?)-2-[(R)-(diphenylmethyl)sulfinyl]acetamide (armodafinil), or (ii) benzhydryl-thioacetic acid to (R)-2-(benzhydrylsulfinyl)acetic acid, which is a pivotal intermediate in the synthesis of armodafinil, in enantiomeric excess.

Abstract: This application provides a data transmission method, a terminal device, and a network device. The method includes: sending, by a terminal device, first information to a network device, where the first information is used to indicate a first channel quality indicator (CQI) corresponding to a first block error rate; and sending, by the terminal device, second information to the network device by using radio resource control (RRC) signaling or media access control (MAC) signaling, where the second information is used to indicate a difference between the first CQI and a second CQI, the second CQI is a CQI corresponding to a second block error rate, and the first block error rate is greater than the second block error rate.

Abstract: A computer-implemented method is provided for image-based, self-guided object detection. The method includes receiving, by a processor device, a set of images. Each of the images has a respective grid thereon that is labeled regarding a respective object to be detected using grid level label data. The method further includes training, by the processor device, a grid-based object detector using the grid level label data. The method also includes determining, by the processor device, a respective bounding box for the respective object in each of the images, by applying local segmentation to each of the images. The method additionally includes training, by the processor device, a Region-based Convolutional Neural Network (RCNN) for joint object localization and object classification using the respective bounding box for the respective object in each of the images as an input to the RCNN.

Abstract: Scheduling automated visual inspection tasks includes capturing an image of a component to be inspected. A visual inspection model is formed with a model engine as a composite model of utility modules and functional modules to perform visual inspection of the image of the component. An abstract processing workflow of the visual inspection model is derived with a scheduler including dependencies between the utility modules and the functional modules. Performance of each of the functional modules is profiled with the scheduler by testing performance with available hardware resources to produce a performance profile. Parallel instances of each of the functional modules in a branch of the abstract processing workflow are scheduled with the scheduler according to the dependencies and the performance profiles. An indication of defects in the component is produced by processing the visual inspection model according to the scheduled functional modules.

Abstract: Techniques for generating machine learning architectures are provided. A data set is received for training one or more machine learning (ML) models, where the data set comprises labeled exemplars for a plurality of classes. The data set is partitioned into a training set and a testing set. A first ML model is trained using the training set, and a quality of the first ML model with respect to each class of the plurality of classes is evaluated using the testing set. Upon determining that the quality of the first ML model is below a predefined threshold with respect to a first class and a second class of the plurality of classes, a subset of the training set is identified, where each exemplar in the subset corresponds to either the first class or the second class. A second ML model is trained using the subset of the training set.

Abstract: This application provides a positioning method, apparatus, and device. The method includes: receiving a first positioning reference signal PRS on a first frequency domain resource, where the first frequency domain resource is a frequency domain resource in an unlicensed spectrum; receiving a second PRS on a second frequency domain resource, where the second frequency domain resource is a frequency domain resource in a licensed spectrum; determining, based on the first PRS and the second PRS, a first positioning measurement result corresponding to the first PRS and a second positioning measurement result corresponding to the second PRS; and determining a location of a terminal based on the first positioning measurement result and the second positioning measurement result. The method may be applicable to quickly and accurately determining the location of the terminal without occupying a large quantity of frequency domain resources in the licensed spectrum.

Abstract: A method for sending a wireless local area network packet structure is provided, and the method comprises: determining a packet structure, where the packet structure comprises an HE-SIGA and an HE-SIGB, the HE-SIGA comprises an indication information, and if a current transmission mode is a full bandwidth MU-MIMO transmission, the indication information is used to indicate a number of scheduled users, or if the current transmission mode is other transmission mode, the indication information is used to indicate a number of symbols in the HE-SIGB; and sending the packet structure.

Abstract: This application provides a channel sensing method, a related device, and a system. The method includes: performing, by a sending device, LBT; and sending, by the sending device, a first channel occupancy signal after the LBT succeeds, where the first channel occupancy signal is used to indicate, to a first receiving device that receives the first channel occupancy signal, a to-be-protected channel occupancy time on a channel occupied by the sending device after the LBT succeeds. According to the foregoing solution, a collision between devices that need to perform transmission can be avoided, thereby improving communication efficiency.

Abstract: A method for synchronizing list-mode data of single events in a PET imaging includes: acquiring list-mode data of single events of each independent detector module, calculating a probability density of time intervals between occurrences of single events in detector module and setting initial parameters, determining detection starting time difference of each detector module with iterative peak searching and graded time window, and performing synchronization correction and coincidence discrimination on the single event data in each detector module based on the detection starting time difference. A system for synchronizing list-mode data of single events in a PET imaging includes: a data acquisition and frequency difference compensation module, an initial parameter setting module, a coarse time scale coincidence module, a fine time scale coincidence module and a data synchronization correction and coincidence discrimination module.

Abstract: The present disclosure provides an auxiliary communication method and system, a device having base station function and a terminal. The auxiliary communication method includes: determining whether it is needed to provide auxiliary communication for any terminal according to channel quality of communication channels with the any terminal and data transmission requirement of the any terminal; selecting a specified terminal which is connected to the device having the base station function as an auxiliary terminal for assisting communication of the any terminal, when it is determined that it is needed to provide auxiliary communication for the any terminal; communicating with the any terminal through the auxiliary terminal. The present disclosure enables accurately to determine the terminal assisted in communication. Wasting communication sources and blind assistance are avoided. Higher channel quality of the terminal between the terminal and the base station and higher data transmission rate can be ensured.

Abstract: The present invention relates to a method for designing a freeform surface reflective imaging system, comprising: selecting an initial system, wherein an FOV of the initial system is X0×Y0; selecting an FOV sequence as [X0, Y0], [X1, Y1], [X2, Y2], . . . , [Xn, Yn], while the FOV of the system to be designed is Xn×Yn, and X0<X1<X2< . . . <Xn, Y0<Y1<Y2< . . . <Yn; using point-by-point methods to construct all freeform surfaces of the initial system in the FOV of X1×Y1; setting the system obtained in the last step as a second initial system for system construction in the FOV of X2×Y2; repeating the last step to execute system construction in the order of the FOV sequence until the final FOV Xn×Yn is obtained.

Abstract: The present invention relates to a freeform surface reflective infrared imaging system comprising a primary mirror, a secondary mirror, a tertiary mirror, and an infrared light detector. Each reflective surface of the primary mirror, the secondary mirror, and the tertiary mirror is an xy polynomial freeform surface. A field of view of the freeform surface reflective infrared imaging system is larger than or equal to 40°×30°. An F-number of the freeform surface reflective infrared imaging system is less than or equal to 1.39.

Abstract: A semiconductor device and its manufacturing method are presented. The manufacturing method includes: providing a semiconductor structure comprising: an interlayer dielectric layer, a first metal layer surrounded by the interlayer dielectric layer, and a semiconductor layer on the interlayer dielectric layer; etching the semiconductor layer to form an opening exposing the interlayer dielectric layer, wherein the opening comprises a first opening and a second opening on the first opening; forming an insulation layer on the semiconductor structure; etching the insulation layer and the interlayer dielectric layer at the bottom of the first opening to form a groove exposing a portion of the first metal layer; forming a second metal layer on the insulation layer and on the bottom and a side surface of the groove; and patterning the second metal layer. The second metal layer in this inventive concept can be removed more completely than conventional methods.

Abstract: A computer implemented method for surface defect inspection that includes recording an optical image of a surface including a defect; converting the optical image including the defect into a heat map; extracting a region of interest including the defect from the heat map; and comparing the region of interest including the defect from the heat map to a binary classification model using a sliding window based voting mechanism to determine if the defect is greater than or less than a threshold failure value.