Abstract: The present disclosure relates to a method and system for reconstructing an image of a midpalatal suture based on a Sobel operator and belongs to the technical field of image processing. Firstly, data preprocessing is performed on a cone beam computed tomography (CBCT) file of a midpalatal suture of a maxilla to obtain a plurality of local images of the midpalatal suture. Merging fusion is then performed on the plurality of local images of the midpalatal suture to obtain a reconstructed image of the midpalatal suture, and a Sobel operator is utilized for optimization during the merging fusion. Thus, an overall profile of a region shape of the midpalatal suture can be reconstructed in a same image from midpalatal suture regions distributed in multiple layers of CBCT images, facilitating intuitive and accurate judgment on the midpalatal suture region by a doctor.

Abstract: Computer technology for use in a computer system including a database system including a database management sub-system, a primary database and a secondary database, with the secondary database being maintained at least approximately in synchronization with the primary database over time as changes are made to data of the primary database (for example, a database system that includes disaster recovery (DR) features). A statistics update is performed first on a standby database to determine whether query efficiency and/or query optimization really will be substantially improved by performance of the statistics update. If not, then statistics update on the primary database is postponed until a future time.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: A contact structure, contact pad layout and structure, mask combination and manufacturing method thereof is provided in the present invention. Through the connection of tops of at least two contact plugs in the boundary of core region, an integrated contact with larger cross-sectional area is formed in the boundary of core region. Accordingly, the process of forming electronic components on the contact structure in the boundary of core region may be provided with sufficient process window to increase the size of electronic components in the boundary, lower contact resistance, and the electronic component with increased size in the boundary buffer the density difference of circuit patterns between the core region and the peripheral region, thereby improving optical proximity effect and ensuring the uniformity of electronic components on the contact plugs inside the boundary of core region, and avoiding the collapse of electronic components on the contact plug in the boundary.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: This application relates to the field of image processing technologies, and provides a photographing method and apparatus for intelligent framing recommendation, to automatically match an appropriate framing recommendation solution for a user according to an algorithm, so that imaging quality is improved. The method includes: An electronic device obtains at least one framing recommendation result based on images captured by at least two cameras with different focal lengths, where the framing recommendation result includes a framing recommendation frame, and the framing recommendation frame indicates a framing recommendation effect of image photographing; and displays a target image based on a framing recommendation result selected by a user, where the target image is an image obtained through cropping, based on the framing recommendation result, the images captured by the at least two cameras.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: Computer technology for use in a computer system including a database system including a database management sub-system, a primary database and a secondary database, with the secondary database being maintained at least approximately in synchronization with the primary database over time as changes are made to data of the primary database (for example, a database system that includes disaster recovery (DR) features). A statistics update is performed first on a standby database to determine whether query efficiency and/or query optimization really will be substantially improved by performance of the statistics update. If not, then statistics update on the primary database is postponed until a future time.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: Disclosed are the SGL processing acceleration method and the storage device. The disclosed SGL processing acceleration method includes: obtaining the SGL associated with the IO command; generating the host space descriptor list and the DTU descriptor list according to the SGL; obtaining one or more host space descriptors of the host space descriptor list according to the DTU descriptor of the DTU descriptor list; and initiating the data transmission according to the obtained one or more host space descriptors.

Abstract: Disclosed are the SGL processing acceleration method and the storage device. The disclosed SGL processing acceleration method includes: obtaining the SGL associated with the IO command; generating the host space descriptor list and the DTU descriptor list according to the SGL; obtaining one or more host space descriptors of the host space descriptor list according to the DTU descriptor of the DTU descriptor list; and initiating the data transmission according to the obtained one or more host space descriptors.

Abstract: An image processing method includes obtaining a plurality of frames of raw images. After preprocessing such as image alignment, channel splitting or pixel rearrangement is performed on the obtained plurality of frames of raw images, detail restoration is performed on an image based on a deep learning network, and luminance enhancement and color enhancement are performed on an image output by the deep learning network. A plurality of types of processing related to detail restoration are integrated into a same deep learning network.

Abstract: Type completeness detection methods and systems are provided to determine a browse node completeness score for browse nodes in an electronic catalog. For example, the type completeness detection system may select a browse node, identify a plurality of search queries previously submitted by users of the electronic catalog, determine a plurality of items that are frequently selected after submitting the search queries, calculate a query completeness score for each search query, determine a browse node completeness score for the browse node, and initiate an action in response to determining that the browse node completeness score falls below a threshold value.

Abstract: A hard-decision (HD) forward error correcting (FEC) coded signal is decoded by a decoder to produce decoded bits using marked reliable bits of the HD-FEC coded signal and marked unreliable bits of the HD-FEC coded signal. The marked reliable and unreliable bits are computed by calculation and marking blocks based on an absolute value of log-likelihood ratios of the HD-FEC coded signal. The HD-FEC coded signal may be, for example, a staircase code coded signal or a product code coded signal.

Abstract: A contact structure, contact pad layout and structure, mask combination and manufacturing method thereof is provided in the present invention. Through the connection of tops of at least two contact plugs in the boundary of core region, an integrated contact with larger cross-sectional area is formed in the boundary of core region. Accordingly, the process of forming electronic components on the contact structure in the boundary of core region may be provided with sufficient process window to increase the size of electronic components in the boundary, lower contact resistance, and the electronic component with increased size in the boundary buffer the density difference of circuit patterns between the core region and the peripheral region, thereby improving optical proximity effect and ensuring the uniformity of electronic components on the contact plugs inside the boundary of core region, and avoiding the collapse of electronic components on the contact plug in the boundary.

Abstract: A hard-decision (HD) forward error correcting (FEC) coded signal is decoded by a soft-aided decoder (112) to produce decoded bits (118) using marked reliable bits of the HD-FEC coded signal and marked unreliable bits of the HD-FEC coded signal (soft-aided bit marking) that are computed by calculation (114) and marking blocks (116) based on an absolute value of log-likelihood ratios (LLRs) of the HD-FEC coded signal. The hard-decision (HD) forward error correcting (FEC) coded signal may be, for example, a staircase code (SCC) coded signal or a product code (PC) coded signal.

Abstract: A ranging system including a first aperture stop, a second aperture stop, an image sensor and a processing unit is provided. The first aperture stop includes a sheet of IR-cut filter material. The second aperture stop includes a sheet of opaque material. The image sensor receives light passing through the first and second aperture stops to output an image frame. The processing unit respectively calculates a convolution between a first color subframe of the image frame and a plurality of first blur kernels to generate a plurality of blurred first frames, respectively calculates a convolution between a second color subframe of the image frame and a plurality of second blur kernels to generate a plurality of blurred second frames, and performs a best matching between the blurred first frames and the blurred second frames.

Abstract: Systems, methods, and software for telemetry event correlation is provided herein. An exemplary method includes obtaining an indication of a data selection defining at least one data entry of interest among datasets that comprise data entries determined by one or more associated telemetry elements, establishing a joined dataset based at least on contextually corresponding characteristics derived from the datasets, and processing the joined dataset with a plurality of adaptive functions to correlate data entries of the joined dataset to the data selection, with each of the plurality of adaptive functions configured to produce an associated correlation dataset comprising data entries potentially related to the data selection. The method also includes evaluating each associated correlation dataset to select an output dataset comprising contextual data entries related to the data selection.

Abstract: A ranging system including a first aperture stop, a second aperture stop, an image sensor and a processing unit is provided. The first aperture stop includes a sheet of IR-cut filter material. The second aperture stop includes a sheet of opaque material. The image sensor receives light passing through the first and second aperture stops to output an image frame. The processing unit respectively calculates a convolution between a first color subframe of the image frame and a plurality of first blur kernels to generate a plurality of blurred first frames, respectively calculates a convolution between a second color subframe of the image frame and a plurality of second blur kernels to generate a plurality of blurred second frames, and performs a best matching between the blurred first frames and the blurred second frames.

Abstract: A ranging system including a first aperture stop, a second aperture stop, an image sensor and a processing unit is provided. The first aperture stop includes a sheet of IR-cut filter material. The second aperture stop includes a sheet of opaque material. The image sensor receives light passing through the first and second aperture stops to output an image frame. The processing unit respectively calculates a convolution between a first color subframe of the image frame and a plurality of first blur kernels to generate a plurality of blurred first frames, respectively calculates a convolution between a second color subframe of the image frame and a plurality of second blur kernels to generate a plurality of blurred second frames, and performs a best matching between the blurred first frames and the blurred second frames.