Abstract: The disclosure relates to a method and system for adaptive antenna configuration in a user equipment comprising one or more antenna modules, each of the one or more antenna modules comprising a plurality of patch elements. The method comprises: determining whether a signal strength of the UE is above a signal threshold, determining whether a mobility of the UE is below a mobility threshold based on determining that the signal strength is above the signal threshold, determining at least one active antenna module based on determining that the mobility of the UE is below the mobility threshold, and deactivating at least one patch element in the at least one antenna module.

Abstract: Embodiments herein provide a method for channel state information (CSI) prediction by a user equipment (UE) in a wireless network. The method comprises determining a CSI; inputting the determined CSI to at least one machine learning (ML) based CSI prediction model to obtain at least one predicted precoder; encoding the at least one predicted precoder into at least one bit stream using at least one ML based CSI encoding model or at least one non-ML based CSI encoding model; and transmitting the at least one encoded bit stream to a network apparatus in the wireless network for the ML based CSI prediction at the network apparatus.

Abstract: An energy absorbing bushing may have a base portion and a tubular portion attached to the base portion, and a split extending through the base portion and the tubular portion. The split may have three portions each at a different angle with respect to one another.

Abstract: Certain embodiments described herein relate to an improved disk usage growth prediction system. In some embodiments, one or more components in an information management system can determine usage status data of a given storage device, perform a validation check on the usage status data using multiple prediction models, compare validation results of the multiple prediction models to identify the best performing prediction model, generate a disk usage growth prediction using the identified prediction model, and adjust the available space of the storage device according to the disk usage growth prediction.

Abstract: A computer-implemented method can comprise establishing programmatic connections to a digitally stored first database comprising over one million records, each of the records comprising columns; reading a configuration file that specifies tables in the database; for each particular table, forming and submitting a plurality of queries to the database, each of the queries specifying data aggregation operations, and in response thereto, receiving result sets of records of the database; calculating metadata metrics that characterize columns of the records in the result sets and storing the metadata metrics in tables for string column statistics, numeric column statistics, date column statistics, based upon a particular data type among different data types of the columns; generating presentation instructions which when rendered cause displaying one or more graphical visualizations in a graphical user interface.

Abstract: A system may be used to determined object characteristics and/or generate bounding boxes for objects in a vehicle scene by enriching later-in-time feature maps using earlier-in-time feature maps. The system may generate a feature map from a received. Using an earlier-in-time feature map, the system may enrich semantic data of the generated feature map to form an enriched feature map. The system may use the enriched feature map to generate one or more object characteristics of an object in the scene.

Abstract: An apparatus comprises a processing device configured to obtain monitoring data for devices comprising a plurality of features, determining two or more rankings of the features using two or more filter-based feature selection algorithms, and selecting a subset of the features based at least in part on the two or more rankings. The processing device is also configured to generate a failure prediction for a given one of the devices using at least one classifier that takes as input the selected subset of features, and applying a conformal prediction framework to the generated failure prediction to obtain a confidence measure indicating a quality of the generated failure prediction and a credibility measure indicating a quality of the monitoring data. The processing device is further configured to initiate one or more remedial actions based at least in part on the generated failure prediction, the confidence measure, and the credibility measure.

Abstract: A method of beam failure recovery managed by a transmitter of a communication system, includes: detecting a first occurrence of a beam failure between the transmitter and a receiver; based on the detection of the first occurrence of the beam failure, identifying at least one first reconfigurable intelligent surface (RIS) for transmitting at least one reference signal; transmitting the at least one reference signal to the at least one first RIS; receiving, from the at least one first RIS, a receiver feedback for the at least one of reference signal; generating an RIS candidate beam list based on the receiver feedback; and transmitting, to the receiver via the at least one first RIS, a radio resource control (RRC) message including the RIS candidate beam list as a beam failure recovery configuration.

Abstract: Apparatus and methods for deploying a web application including a plurality of binary objects. The methods may include isolating from the plurality of class files a class file in which a run-time behavior occurs. The methods may include updating the class file to produce a modified class file that does not have the behavior. The methods may include testing performance of the modified class file. The methods may include storing the class file in a dynamic configuration database. The methods may include recognizing the modified class file as being modified. The methods may include, using a cron job processor, reading the metadata. The methods may include compiling the modified class file into binary code. The methods may include executing the binary code instead of a different binary code that corresponds to the class file in which the run-time behavior occurs.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and generate feature maps corresponding to the received images. The perception system may generate object queries based on the feature maps and enrich the object queries. The perception system may use the enriched object queries to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate multiple pluralities of windows and use the multiple pluralities of windows to enrich semantic data of the feature maps. The perception system may use the enriched semantic to generate one or more bounding boxes for objects in the vehicle scene.

Abstract: Built-in-self-test (BIST operations are performed by receiver lanes of a multilane receiver system, wherein at least one receiver lane is configured as a synthesized clock source for other receiver lanes configured to perform BIST operations. The at least one receiver lane configured as the synthesized clock source may generate a clock signal and provide the clock signal to the other receiver lanes performing the BIST operations. In some examples, digital control signals may be used for coordinating the enablement of the at least one receiver lane to function as the synthesized clock source and for coordinating the enablement of the other receiver lanes to perform BIST operations.

Abstract: Certain aspects of the present disclosure provide techniques for dynamically determining an uplink data split threshold for communicating using one or more radio link control (RLC) entities of a split bearer configuration. A method that may be performed by a user equipment (UE) includes inputting a first set of parameters to a machine learning algorithm, obtaining, as an output of the machine learning algorithm based at least in part on the inputted first set of parameters, a value for a data split threshold, and transmitting the data using at least one of a first RLC entity or the second RLC entity based on the value for the data split threshold and the amount of data the apparatus has to transmit.

Abstract: An aspect of the present disclosure provides a relevance ranking system for events identified by performance management systems. In one embodiment, a system receives, from one or more performance management systems, events associated with performance metrics and determines, based on the received events, a corresponding relevance score for each performance metric. The system generates a ranking list of the received events based on the corresponding relevance scores (determined for the performance metrics). The system then provides the ranking list of events to a user (such as an administrator). According to another aspect, the system (noted above) performs the steps of receiving, determining, and generating for each time interval of a set of time intervals.

Abstract: Embodiments of the present disclosure are related a method for wireless communication. The method comprises receiving by a base station (BS), signals from a plurality of user equipment's (UEs) and obtaining channel estimates associated with each UE using the received signals. Next, calculating a first metric for each UE, and each of the plurality of beams associated with the BS using the obtained channel estimates and determining one or more best beams from a plurality of beams associated with the BS, and a second metric for each UE using the first metric. Further, segregating the UEs into groups based on the determined one or more best beams and the second metric. Thereafter, performing beamforming on control channel based on the one or more best beams, and performing allocation of at least one of resources, modulation and coding scheme for a control channel based on the segregated groups.

Abstract: Certain embodiments disclosed herein reduce or eliminate a communication bottleneck at the storage manager by reducing communication with the storage manager while maintaining functionality of an information management system. In some implementations, a client obtains information for enabling a secondary storage job (e.g., a backup or restore) from a storage manager and stores the information (which may be referred to as job metadata) in a local cache. The client may then reuse the job metadata for multiple storage jobs reducing the frequency of communication with the storage manager. When a configuration of the information management system changes, or the availability of resources changes, the storage manager can push updates to the job metadata to the clients. Further, a client can periodically request updated job metadata from the storage manager ensuring that the client does not rely on out-of-date job metadata.

Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.

Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation.

Abstract: In general, techniques are described for deploying virtualized cell site routers (vCSRs) capable of layer 2 (L2) forwarding to cell site servers to support management and orchestration of functional units for mobile networks executing on the cell site servers. In an example, a method comprises receiving, at a forwarding plane of a virtualized cell site router (vCSR) of a first Distributed Unit (DU) of a plurality of DU servers of a cell site for a 5G radio access network, the vCSR having a containerized routing protocol process and a forwarding plane configured to perform Layer 2 (L2) switching, L2 packets on a second interface for a second physical link connecting the first DU server to an L2 switch; and switching, by the forwarding plane of the vCSR of the first DU, the L2 packets on a first interface for a first physical link connecting the first DU server to a second DU server of the plurality of DU servers.

Abstract: A computer-implemented method can comprise establishing programmatic connections to a digitally stored first database comprising over one million records, each of the records comprising columns; reading a configuration file that specifies tables in the database; for each particular table, forming and submitting a plurality of queries to the database, each of the queries specifying data aggregation operations, and in response thereto, receiving result sets of records of the database; calculating metadata metrics that characterize columns of the records in the result sets and storing the metadata metrics in tables for string column statistics, numeric column statistics, date column statistics, based upon a particular data type among different data types of the columns; generating presentation instructions which when rendered cause displaying one or more graphical visualizations in a graphical user interface.