Abstract: Systems and techniques for location management are described herein. In an example, a system may include at least one processor and at least one memory with instructions stored thereon that when executed by the processor, cause the processor to obtain data originating from one or more sensors proximate to the location. A trained activity-based detection model may identify an activity at the location and perform a determination of a service to be offered at the location based on the detected activity. The system may then send a message to a user offering the service to the user, and in response to receiving an authorization accepting the service from the user, cause the service to be implemented at the location, which may include classifying the service as a service type, matching the service type to a service provider, and sending a notification to the service provider.

Abstract: Systems and techniques for mobility-as-a-service for user experience are described herein. An orchestration log may be maintained that includes current orchestration data. An orchestration backup record may be generated that includes alternate MaaS nodes on the MaaS network. It may be determined that connectivity is lost to a first orchestration container hosted by a first MaaS node. An orchestration container is generated using the orchestration log to maintain orchestration functionality. An available second MaaS node is identified from the alternate MaaS nodes. The orchestration container may be transferred to the second MaaS node.

Abstract: Techniques for UNDO and REDO operations in a computer-user interface are disclosed. The techniques enables users to configure entities for UNDO and REDO operations. The techniques also enable users to roll back individual entity to an immediate previous state in one UNDO operation and subsequently to the other previous states. Other entities are not affected by the UNDO operations to the entity.

Abstract: Disclosed herein are systems and methods for vehicle-occupancy-based and user-preference-based smart routing, and autonomous volumetric-occupancy measurement. In an embodiment, a system is configured to receive from a user device associated with a user, a routing-options request for routing options between two locations, and to responsively identify one or more routing options between the two locations based at least in part on occupancy data for a vehicle that would be utilized for at least a portion of at least one of the identified routing options. The occupancy data is based on an output of an automated occupancy-measurement system onboard the vehicle. The system is also configured to provide the one or more identified routing options to the user device. In some embodiments, the occupancy data is obtained using volumetric-occupancy measurement. Some embodiments relate to volumetric-occupancy measurement conducted by autonomous mesh nodes.

Abstract: Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

Abstract: Aspects of the subject disclosure may include, for example, monitoring first data to identify a first plurality of test points, analyzing the first plurality of test points to identify the first data as being associated with a first time domain included in a plurality of time domains, wherein respective portions of a device under test (DUT) are operative in accordance with a given time domain included in the plurality of time domains, and based on the analyzing of the first plurality of test points, generating first control signals to cause a first clock signal to be adapted to generate a second clock signal that is different from the first clock signal.

Abstract: Systems, methods, and other embodiments associated with a configurable identification mechanism of debug parameters are described. In one embodiment, a method includes generating a graphical user interface (GUI) for a debugging program, where the GUI is configured to provide options to configure naming rules for threads during debugging of a computer process that includes multiple threads. The options to configure the naming rules may include configuring a naming rule that adds one or more context identifiers to a thread name. The thread name may be generated by automatically populating one or more of the context identifiers with a variable value that occurs during execution of the thread that corresponds to the one or more context identifiers. A conditional breakpoint may be controlled during debugging that is thread-specific based on a condition including at least one context identifier that matches a portion of the thread name.

Abstract: A classification system is provided that separates unclassified pages into unclassified, separated documents and classifies the separated documents. The classification system applies a page-level recognition model to the unclassified pages to recognize the logical boundaries between documents and, based on the logical boundaries, separates the pages into unclassified, separated documents. The classification system further applies a document-level recognition model to classify the separated documents.

Abstract: Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

Abstract: Exemplary embodiments of the present disclosure are directed towards an automated system for detecting real-time space occupancy of inventory within a warehouse, comprising cameras configured to capture predetermined area within warehouse to obtain image data, cameras configured to deliver image data to first computing device and second computing device over network; and space occupancy detection module configured to analyse image data received to first computing device and second computing device from cameras, space occupancy detection module configured to read and to store image data received from cameras at regular intervals, space occupancy detection module configured to crop Region of Interest of image data and categorizes each pixel of image data to derive plurality of segmentation classes, space occupancy detection module configured to predict amount of space utilized from plurality of segmentation classes; and predictions are mapped to a warehouse layout, space occupancy detection module configured to

Abstract: According to certain aspects, a system may include a data agent configured to: process a database file residing on a primary storage device(s) to identify a subset of data in the database file for archiving, the database file generated by a database application; and extract the subset of the data from the database file and store the subset of the data in an archive file on the primary storage device(s) as a plurality of blocks having a common size; and at least one secondary storage controller computer configured to, as part of a secondary copy operation in which the archive file is copied to a secondary storage device(s): copy the plurality of blocks to the secondary storage devices to create a secondary copy of the archive file; and create a table that provides a mapping between the copied plurality of blocks and corresponding locations in the secondary storage device(s).

Abstract: A classification system is provided that separates unclassified pages into unclassified, separated documents and classifies the separated documents. The classification system applies a page-level recognition model to the unclassified pages to recognize the logical boundaries between documents and, based on the logical boundaries, separates the pages into unclassified, separated documents. The classification system further applies a document-level recognition model to classify the separated documents.

Abstract: A system for detecting and analyzing consumer transactions to provide selected list of objects, comprising first camera and second camera configured to monitor and to capture first camera feed and second camera feed, first camera feed and second camera feed comprising consumer transaction images of consumer transactions performed by consumers in front of display shelf, consumer transaction identifying module configured to receive first camera feed and second camera feed, pre-processor module configured to compare consumer transaction images and sends consumer transaction images to location finder module, location finder module configured to detect hand positions and computes physical location information of hand within display shelf using triangulation technique; direction detection module configured to identify direction of motion of hand with physical location information, direction detection module configured to enabling visual object detection module on consumer transaction images to detect objects in the

Abstract: Exemplary embodiments of present disclosure directed towards motion detection module configured to receive third camera feed to detect motion of vehicle. Motion detection module configured to compare selected region of interest from consecutive frames of third camera to detect motion using frame difference. Pre-processing module configured to save consecutive frames from first and second camera when vehicle starts crossing third camera. Lock detection module configured to receive saved frames and detects locks present in saved frames of first and second camera.

Abstract: Exemplary embodiments of the present disclosure are directed towards system for encoding and decoding color-coded fiducial markers, comprising fiducial marker-encoding module configured to encode digits using color-coded fiducial markers and generates color-coded fiducial markers. Color-coded fiducial markers embedded on imaging subject, camera configured to identify motion of imaging subject and captures imaging subject. Camera configured to transmit image frames to first computing device and second computing device over network. Fiducial marker-decoding module configured to receive image frames from camera. Fiducial marker detection module configured to detect presence and location information along with color-coded fiducial markers information from image frames of color-coded fiducial markers using visual object detection technique and machine vision technique.

Abstract: Systems, apparatus, articles of manufacture (e.g., computer readable media), and methods are disclosed to implement task-oriented communications for networked control systems. Examples disclosed herein are to determine a criticality of a data packet of a data flow, different packets of the data flow having different respective criticalities, the data flow associated with an application. Disclosed examples are also to perform a quality of service (QoS) operation associated with the data packet based on the criticality of the data packet. For example, the QoS operation is to be performed after generation of the data packet and before reception of the data packet by a device that is to implement the application.

Abstract: Various systems and methods for improving connectivity of a Mobility-as-a-Service (MaaS) node are described herein, including categorizing MaaS communication traffic of a MaaS node into different levels of priority and controlling duplication or repetition of the MaaS communication traffic using the categorized level of priority of the MaaS communication traffic.

Abstract: A 3GPP LTE protocol enhancement realizes the full benefit of discontinuous reception (DRX) in Long Term Evolution networks by coordinating and aligning DRX operations for conserving power and timing overhead. A dual connectivity enabled User Equipment (UE) comprising a processor and transceiver is configured to align DRX configuration between counterpart Evolved Node Bs (eNB)s, wherein counterpart eNBs are a Master eNB (MeNB) and a Secondary eNB (SeNB) simultaneously connected to the UE, communicate system frame timing and system frame number (SFN) information between the counterpart eNBs, align DRX start offset (drxStartOffset) values for the counterpart eNBs according to the communicated system frame timing and SFN information to compensate for offsets in system frame timing, and allow the start of a DRX ON duration at specific frame or sub-frame times determined by the drxStartOffset values, after the expiration of a DRX inactivity timer.

Abstract: A resource management framework may be used to improve performance of dominant and non-dominant resources for edge multi-tenant applications. The resource management framework may include an admission control mechanism, which may be used to balance disproportionate resource allocations by controlling allocation of unconstrained resources proportional to the requested dominant resources based on resource availability. The admission control mechanism may provide ongoing monitoring of dominant and non-dominant resource utilization, such as using a hybrid centralized-distributed telemetry collection approach. The resource management framework may also include a lightweight resource monitoring and policy enforcement mechanism on distributed networking elements to reduce or eliminate the exploitations of non-dominant resources.

Abstract: Techniques for UNDO and REDO operations in a computer-user interface are disclosed. The techniques enables users to configure entities for UNDO and REDO operations. The techniques also enable users to roll back individual entity to an immediate previous state in one UNDO operation and subsequently to the other previous states. Other entities are not affected by the UNDO operations to the entity.