Abstract: A method, apparatus, and system for a time-based checkpoint target is provided for standby databases. Change records received from a primary database are applied for a standby database, creating dirty buffer queues. As the change records are applied, a mapping is maintained, which maps timestamps to logical times of change records that were most recently applied at the timestamp for the standby database. On a periodic dirty buffer queue processing interval, the mapping is used to determine a target logical time that is mapped to a target timestamp that is prior to a present timestamp by at least a checkpoint delay. The dirty buffer queues are then processed up to the target logical time, creating an incremental checkpoint. On a periodic header update interval, file headers reflecting a consistent logical time for the checkpoint are also updated. The intervals and the checkpoint delay are adjustable by user or application.

Abstract: Methods, systems, and techniques for generating two-dimensional (2D) and three-dimensional (3D) images and image streams. The images and image streams may be generated using active stereo cameras projecting at least one illumination pattern, or by using a structured light camera and a pair of different illumination patterns of which at least one is a structured light illumination pattern. When using an active stereo camera, a 3D image may be generated by performing a stereoscopic combination of a first set of images (depicting a first illumination pattern) and a 2D image may be generated using a second set of images (optionally depicting a second illumination pattern). When using a structured light camera, a 3D image may be generated based on a first image that depicts a structured light illumination pattern, and a 2D image may be generated from the first image and a second image that depicts a different illumination pattern.

Abstract: A delivery system generates a pick sheet containing a plurality of SKUs based upon an order. A loaded pallet is imaged to identify the SKUs on the loaded pallet, which are compared to the order prior to the loaded pallet leaving the distribution center. The loaded pallet may be imaged while being wrapped with stretch wrap. At the point of delivery, the loaded pallet may be imaged again and analyzed to compare with the pick sheet.

Abstract: A method and apparatus for determining and/or monitoring a thermal state of charge or melt fraction of phase change material in a battery system. The battery system includes a plurality of electrochemical cell elements, a supply of a phase change material in thermal contact with the plurality of electrochemical cell elements, and a battery management system that monitors a thermal storage capacity of the phase change material and automatically controls a power of the plurality of electrochemical cell elements as a function of the thermal storage capacity of the phase change material. The battery management system automatically adjusts a power output of the plurality of electrochemical cell elements as a function of the thermal storage capacity of the phase change material to provide a heat output within a predetermined safe temperature limit.

Abstract: This document describes modeling and simulation techniques to select a cloud architecture profile based on correlations between application workloads and resource utilization. In some aspects, a method includes obtaining infrastructure data specifying utilization of computing resources of an existing computing system. Application workload data specifying tasks performed by one or more applications running on the existing computing system is obtained. One or more models are generated based on the infrastructure data and the application workload data. The model(s) define an impact on utilization of each computing resource in response to changes in workloads of the application(s). A workload is simulated, using the model(s), on a candidate cloud architecture profile that specifies a set of computing resources. A simulated utilization of each computing resource of the candidate cloud architecture profile is determined based on the simulation.

Abstract: Systems, methods and devices are provided to improve management and accuracy of timestamps associated with sensor-based data. An indication is received of a sensor event associated with data samples provided from a sensor having an output data rate. A respective timestamp is assigned to each of the data samples. Assigning the respective timestamp may include, responsive to a determination that the indicated event is an interrupt event, calculating an actual data sampling interval based at least in part on time intervals between previous sensor events and a on a quantity of the one or more data samples.

Abstract: A method for determining a state of a tailgate (9) of a pickup vehicle (1) by a camera system (2), includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (8) captured by a camera (3), determining a first region of interest (ROI1) in the captured image (8) by an electronic computing device (4) of the camera system (2), wherein the first region of interest (ROI1) includes the potential tailgate (9) at least partially, determining a parameter optically characterizing the tailgate (9) depending on the captured image (8), analyzing the first region of interest (ROI1) with regard to the characterizing parameter, and determining a closed state of the tailgate (9) as state or determining an opened state of the tailgate (9) as state depending on the analysis of the first region of interest (ROI1). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: A fast Mux-D scan flip-flop is provided, which bypasses a scan multiplexer to a master keeper side path, removing delay overhead of a traditional Mux-D scan topology. The design is compatible with simple scan methodology of Mux-D scan, while preserving smaller area and small number of inputs/outputs. Since scan Mux is not in the forward critical path, circuit topology has similar high performance as level-sensitive scan flip-flop and can be easily converted into bare pass-gate version. The new fast Mux-D scan flip-flop combines the advantages of the conventional LSSD and Mux-D scan flip-flop, without the disadvantages of each.

Abstract: Disclosed are methods and apparatus for determining analyte concentration in a sample such as bodily fluid. Systems and methods disclosed herein can also include a treatment dosing system to infuse or inject a treatment drug (e.g., insulin or glucose) and provide glycemic control. The dose of the treatment drug may be based on the concentration of th4e analyte or the average value for the concentration of the analyte and/or the rate of change of the value of the concentration of the analyte.

Abstract: The invention relates to the compounds or its pharmaceutical acceptable polymorphs, solvates, enantiomers, stereoisomers and hydrates thereof. The pharmaceutical compositions comprising an effective amount of compounds of formula I, formula II, formula III, formula IV, formula V and formula VI and the methods for the treatment of eye disorders and skin diseases and may be formulated for the topical eye drop, topical paste, ocular solution, device-drug delivery, oral, buccal, rectal, topical, transdermal, transmucosal, lozenge, spray, intravenous, oral solution, nasal spray, oral solution, cream, dermal ointment, gels, lotions, suspension, oral spray, buccal mucosal layer tablet, parenteral administration, syrup, or injection. Such compositions may be used to treatment of skin diseases such as acne, rosacea and eye disorders such as ocular redness, glaucoma, presbyopia, IOP, cataract, dry eye and oGVHD.

Abstract: Data verification in federate learning is faster and simpler. As artificial intelligence grows in usage, data verification is needed to prove custody and/or control. Electronic data representing an original version of training data may be hashed to generate one or more digital signatures. The digital signatures may then be incorporated into one or more blockchains for historical documentation. Any auditor may then quickly verify and/or reproduce the training data using the digital signatures. For example, a current version of the training data may be hashed and compared to the digital signatures generated from the current version of the training data. If the digital signatures match, then the training data has not changed since its creation. However, if the digital signatures do not match, then the training data has changed since its creation. The auditor may thus flag the training data for additional investigation and scrutiny.

Abstract: A method of associating multiple user endpoints (UEs) with a single IMS session in an IMS network having a serving node for controlling at least one IMS session for a user and at least a first access network for providing access to UEs. The method involves associating a first UE with the user and with an IMS session; discovering a second UE in a proximity of the first UE; discovering information about the second UE; communicating the information about the second UE to the serving node; the serving node utilizing computer-implemented policy logic to determine whether to associate the second UE with the user and the IMS session; and if the policy logic determines that the second UE is to be associated, the serving node associating the second UE with the IMS session while retaining the association with the first UE.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: An example method of encoding a video includes selecting blocks of pixels in a frame of the video, the blocks having luminance (Y) blocks, red color difference (Cr) blocks, and blue color difference (Cb) blocks; performing intra-estimation based on reconstructed pixels of at the blocks of pixels to generate predicted blocks and then subtracting the predicted blocks from the blocks of pixels to generate residual data, the residual data comprising respective residual data for the Y-blocks interleaved with respective residual data for the Cr-blocks and the Cb-blocks; and generating new reconstructed pixels using a pipeline of a video encoder by processing the residual data for the blocks.

Abstract: Authentication of electronic document is based on multiple digital signatures incorporated into a blockchain. Structured data, metadata, and instructions may be hashed to generate the multiple digital signatures for distribution via the blockchain. Any peer receiving the blockchain may then verify an authenticity of an electronic document based on any one or more of the multiple digital signatures incorporated into the blockchain.

Abstract: The present disclosure describes apparatuses and techniques of adaptive PLMN management for varying network conditions. In some aspects, a PLMN manager of a user equipment (UE) searches, as part of a registration procedure, a data repository of PLMN information that includes a PLMN blocked from registration for a duration of time and determines that the PLMN is blocked due to a signal-related condition with a cell of the PLMN (e.g., weak signal). The PLMN manager then determines, during the duration of time, that the signal-related condition between the UE and the cell has improved. In response to the improvement, the PLMN manager unblocks the PLMN before expiration of the duration of time. By so doing, the UE may reattempt registration with the unblocked PLMN at least once before the duration of time expires, which may allow the UE to register more quickly and reestablish network services.

Abstract: A sensor status indicator (SSI) assembly comprises a sensing interface configured to be communicatively coupled to a wiring harness of a sensor and receive a sensor signal therefrom. The sensor signal indicates a sensor status corresponding to a status of an apparatus to which the sensor is coupled. The SSI assembly also includes at least one visual indicator; and a controller communicatively coupled to the sensing interface and the at least one visual indicator. The controller is configured to interpret the sensor signal to determine the sensor status, and activate the at least one visual indicator to generate a visual signal corresponding to the sensor status.

Abstract: A self-managing database system includes a metrics collector to collect metrics data from one or more databases of a computing system and an anomaly detector to analyze the metrics data and detect one or more anomalies. The system includes a causal inference engine to mark one or more nodes in a knowledge representation corresponding to the metrics data for the one or more anomalies and to determine a root cause with a highest probability of causing the one or more anomalies using the knowledge representation. The system includes a self-healing engine, to take at least one remedial action for the one or more databases in response to determination of the root cause.

Abstract: This disclosure relates generally to method and system for extracting contextual information from a knowledge base. The method receives a user query comprising a request to extract contextual information from the user query. Further, the user query is analyzed based on a plurality of predefined parameters to determine sufficiency of information comprised in the user query. The received user query identifies relevant sources of the structured data, the unstructured data or the semi-structured data storage repositories. The user query is processed using a fine grain approach, where a dictionary of one or more keywords with weights are created through the domain ontology builder from the one or more knowledge articles. Furthermore, an appropriate contextual information related to the user query is extracted using the fine grain approach, based on the knowledge articles associated with the trained knowledge base comprising information required by the user query extracted from the knowledge articles.