Abstract: Techniques are disclosed relating to providing data views from a time-series data lake to a data warehousing system. In various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains a time-series data lake storing a time-series representation of data from a plurality of data sources associated with a first organization. In some embodiments, the cloud-based service may receive additional backup data, including a first backup image of a first data source, associated with the first organization as part of a backup operation. The cloud-based service may then store a logical backup of the first data source in the data lake and, in response to a query from a data warehousing system, the cloud-based service may retrieve a particular view of the backup data from the data lake and provide it to the data warehousing system.

Abstract: Techniques are disclosed relating to providing object-level incremental backups and data restoration management techniques in a cloud-based backup storage context. In various embodiments, the disclosed techniques include generating, by a computing system, object-level differentials that maintain differences between successive inventories (e.g., added, deleted, and amended objects) and are used to perform incremental backups. Disclosed techniques also include restoration management methods that leverage parallelization, via chunks of data that may be processed in parallel by cloud worker modules, and protection group mechanisms to restore single buckets, multiple buckets, single objects, multiple objects, objects and buckets that match specific search criteria, etc. Disclosed techniques may advantageously improve performance of data backup and restoration operations, relative to traditional techniques.

Abstract: Techniques are disclosed relating to providing protection groups and rapid determination of expired objects and associated storage resources in a cloud-based backup storage context. In various embodiments, the disclosed techniques include generating, by a computing system, incremental backup data for a backup based on protection group information, including a set of cloud-based key-value data store buckets, filter information, and policy information. Disclosed techniques also include rapid determination of expired objects and associated storage resources. Disclosed techniques may advantageously provide a centralized view across buckets, accounts, and regions and allow users to target specific subsets of their data stores for backup, which may improve performance and reduce backup storage costs, relative to traditional techniques.

Abstract: A method for removing periodic noise from a reconstructed light field image includes the steps of: acquiring a light field image of a sample; acquiring an optical center position map without the sample; calibrating the imaging centers of the microlenses and performing reconstruction on the light field image; transforming a reconstructed light field image to the frequency domain and generating an image frequency spectrum; preprocessing the image frequency spectrum; generating a low-pass filter; multiplying the low-pass filter with the preprocessed image frequency spectrum, and then setting the frequency spectrum value of the low-frequency component to zero; performing binarization on the reconstructed light field image frequency spectrum to obtain an image mask; removing the high-frequency periodic noise component from the original frequency spectrum of the reconstructed light field image; and transforming the filtered reconstructed light field image frequency spectrum back to the spatial domain to obtain the

Abstract: Techniques herein use in-memory column vectors to process data that is external to a database management system (DBMS) and logically join the external data with data that is native to the DBMS. In an embodiment, a computer maintains a data dictionary for native data that is durably stored in an DBMS and external data that is not durably stored in the DBMS. From a client through a connection to the DBMS, the computer receives a query. The computer loads the external data into an in-memory column vector that resides in random access memory of the DBMS. Based on the query and the data dictionary, the DBMS executes a data join of the in-memory column vector with the native data. To the client through said connection, the computer returns results of the query based on the data join.

Abstract: Techniques are disclosed relating to the storage of backup data using a time-series data lake. For example, in various embodiments, the disclosed techniques include providing a cloud-based data lake service that maintains data for a plurality of organizations and where, for a first organization, the cloud-based data lake service maintains a time-series data lake that stores a time-series representation of data associated with the first organization. In various embodiments, the data lake service may receive backup data from a plurality of data sources associated with the first organization, generate metadata associated with the backup data, and store the backup data, along with the corresponding metadata, in the time-series data lake.

Abstract: Techniques herein use in-memory column vectors to process data that is external to a database management system (DBMS) and logically join the external data with data that is native to the DBMS. In an embodiment, a computer maintains a data dictionary for native data that is durably stored in an DBMS and external data that is not durably stored in the DBMS. From a client through a connection to the DBMS, the computer receives a query. The computer loads the external data into an in-memory column vector that resides in random access memory of the DBMS. Based on the query and the data dictionary, the DBMS executes a data join of the in-memory column vector with the native data. To the client through said connection, the computer returns results of the query based on the data join.

Abstract: A snapshot hyperspectral imaging method includes the steps of: S1, selecting a set of reference wavelengths for calibration, rectifying the shifted positions due to dispersion at each reference wavelength, and selecting a center wavelength; S2, estimating relative dispersion at each reconstructed wavelength with respect to the center wavelength; S3, generating a dispersion matrix describing the direction of dispersion, and generating a spectral response matrix using a spectral response curve of a sensor; S4, capturing images blurred with dispersion; S5, deblurring the dispersed images captured in S4 using the dispersion matrix and the spectral response matrix generated in S3 to obtain spectral data spatially aligned in all spectrums; and S6, projecting the aligned spectral data obtained in S5 into color space, extracting a foreground image by a threshold method, sampling the dispersed images obtained in S4 as strong prior constraints for the foreground image, and reconstructing accurate spatial hyperspectral

Abstract: Techniques are disclosed relating to the modification of data in a time-series data lake. For example, in various embodiments, the disclosed techniques include a cloud-based service that maintains a time-series data lake that includes, for an organization, a time-series representation of data from one or more of the organization's data sources. The cloud-based service may receive a request to modify data associated with a particular user of the organization. As a non-limiting example, this request may correspond to a “Right to Be Forgotten” request from the particular user. This request may include one or more search parameters and an indication of one or more modifications to be performed. Based on the request, the cloud-based service may parse the time-series data lake to identify a subset of data that matches the one or more search parameters and perform the requested modifications on the subset of data in the time-series data lake.

Abstract: Disclosed techniques relate to security of backup data. In some embodiments, a method includes receiving, by data protection service running on a cloud computing system, a first encrypted copy of a backup of a first data store that is associated with a first account of an organization, where the first encrypted copy is encrypted using a first custodian cryptographic key that is shared between the organization and the data protection service that is different than a first production cryptographic key that is private and used by the organization to encrypt a non-backup version of the first data store. The method may include generating a second encrypted copy of the backup, including by encrypting the backup using a storage cryptographic key. The method may include storing the second encrypted copy of the backup in a second data store that is associated with the data protection service.

Abstract: Embodiments of the present application provide an electrode assembly, a battery cell, a battery, and a method and a device for manufacturing an electrode assembly, which belong to the technical field of batteries. Where, the electrode assembly includes a first electrode plate, a second electrode plate, and a support member. The first electrode plate and the second electrode plate are wound in a winding direction to form a winding structure, and the winding structure includes a bending area. At least a part of the support member is bent and arranged in the bending area, and the support member is configured to provide a support force to a part of the first electrode plate and/or the second electrode plate located at an outer side of the support member.

Abstract: A lightning prewarning-based method for active protection against a lightning strike on an important transmission channel includes collecting meteorological element data, and establishing a transmission line-specific lightning strike probability prewarning model; using a maximum probability of a lightning strike prewarning level as a lightning strike prewarning level; performing equivalence calculation on a large-scale regional power system, using a minimum sum of a power loss risk cost and a regulation cost as an optimized objective function, and establishing a power flow transfer optimization model; and comparing a sum of a regulation cost and load power loss risk cost caused after the tie line is disconnected if regulation is performed before a lightning strike, and a load power loss risk cost caused if regulation is not performed, and when the regulation cost is not greater than the load power loss risk cost, performing regulation before the lightning strike.

Abstract: Techniques are disclosed relating to providing data views from a time-series data lake to a data warehousing system. In various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains a time-series data lake storing a time-series representation of data from a plurality of data sources associated with a first organization. In some embodiments, the cloud-based service may receive additional backup data, including a first backup image of a first data source, associated with the first organization as part of a backup operation. The cloud-based service may then store a logical backup of the first data source in the data lake and, in response to a query from a data warehousing system, the cloud-based service may retrieve a particular view of the backup data from the data lake and provide it to the data warehousing system.

Abstract: Techniques are disclosed relating to the retrieval of data from a time-series data lake. For example, in various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains data for a plurality of organizations and where, for a first organization, the data lake service maintains a time-series data lake that stores a time-series representation of backup data associated with the first organization. The cloud-based service may receive a request, including one or more search criteria, for data associated with the first organization and, based on the search criteria, retrieve a particular view of the backup data that is stored in the data lake. In various embodiments, the particular view may include backup data from various different data sources and from various different points in time. The cloud-based service may then provide the particular view of the backup data to the requesting entity.

Abstract: Techniques are disclosed relating to data preservation using a time-series data lake. For example, in some embodiments, the disclosed techniques include maintaining, by a cloud-based service, a time-series data lake that includes, for an organization, a time-series representation of a plurality of data sources associated with the organization. In various embodiments, the time-series data lake retains data according to a first retention policy. In response to a request for a subset of data that is associated with the organization, the cloud-based service may retrieve the subset of data from the time-series data lake and then store the subset of data in a particular storage location that retains data according to a second, different retention policy.

Abstract: Techniques are disclosed relating to the storage of backup data using a time-series data lake. For example, in various embodiments, the disclosed techniques include providing a cloud-based data lake service that maintains data for a plurality of organizations and where, for a first organization, the cloud-based data lake service maintains a time-series data lake that stores a time-series representation of data associated with the first organization. In various embodiments, the data lake service may receive backup data from a plurality of data sources associated with the first organization, generate metadata associated with the backup data, and store the backup data, along with the corresponding metadata, in the time-series data lake.

Abstract: Techniques are disclosed relating to the modification of data in a time-series data lake. For example, in various embodiments, the disclosed techniques include a cloud-based service that maintains a time-series data lake that includes, for an organization, a time-series representation of data from one or more of the organization's data sources. The cloud-based service may receive a request to modify data associated with a particular user of the organization. As a non-limiting example, this request may correspond to a “Right to Be Forgotten” request from the particular user. This request may include one or more search parameters and an indication of one or more modifications to be performed. Based on the request, the cloud-based service may parse the time-series data lake to identify a subset of data that matches the one or more search parameters and perform the requested modifications on the subset of data in the time-series data lake.

Abstract: Techniques related to prefix compression are disclosed. Each value in a set of values has a prefix component and a suffix component. The set of values is divided into at least a first plurality of values and a second plurality of values. Compression of each plurality of values involves determining a prefix component that is shared by each value of the plurality of values. Compression further involves determining a plurality of suffix components belonging to the plurality of values. The prefix component is stored separately from the plurality of suffix components but contiguously with a suffix component of the plurality of suffix components. This enables the prefix component and the suffix component to be read as a value of the plurality of values.

Abstract: The present disclosure relates to the field of scientific drilling technologies, and provides a deep rock in-situ active thermal-insulation coring device and thermal-insulation coring method thereof. The coring device comprises an in-situ coring system and an in-situ truth-preserving moving system, the in-situ coring system comprises a driving module, a coring module and a thermal insulation module, and the in-situ truth-preserving moving system comprises a truth-preserving chamber storage module and a mechanical arm; the thermal insulation module comprises a coring truth-preserving chamber and a temperature regulation control system, the truth-preserving chamber storage module comprises a storage truth-preserving chamber and a temperature balance control system, the mechanical arm is mounted in the storage truth-preserving chamber, and the coring truth-preserving chamber and the storage truth-preserving chamber are mutually butted.

Abstract: The present invention provides a detection device based on the shadow imaging of platelets and a method thereof. The method comprises following steps: optically projecting and/or photographing a blood sample to be detected directly by an image sensor chip having a submicron pixel size and a megapixel scale, the blood sample being injected into a sample chamber of a microfluidic chip fixed to the surface of the image sensor chip; and then, identifying and counting imaging results by an image processing algorithm when the physical pixel size, in the imaging results, occupied by abnormally-sized platelets in the blood sample is significantly greater than the physical pixel size occupied by normally-sized platelets, so as to obtain the number and proportion of the abnormally-sized platelets.