Abstract: Provided are a method, system, and computer-readable recording medium for controlling zero trust remote access to a target node in a network system. The method includes: receiving a request of a user to access the target node in the network system; generating, based on parameters of the user and the target node, an access policy segmentation for the user to access the target node; providing, based on the generated access policy segmentation, the user with access to the target node; and terminating, based on the generated access policy segmentation, access of the user to the target node.

Abstract: A memory device includes an array of memory cells and a controller configured to access the array of memory cells. The controller is further configured to program a first number of bits to a first memory cell of the array of memory cells and program a second number of bits to a second memory cell of the array of memory cells. The controller is further configured to following a period after programming the second number of bits to the second memory cell, merge at least a subset of the first number of bits stored in the first memory cell to the second number of bits stored in the second memory cell without erasing the second memory cell such that the second number of bits plus at least the subset of the first number of bits are stored in the second memory cell.

Abstract: An executable configuration is provided to an agent executing on a client device, wherein the agent is configured to execute the executable configuration and to collect metrics associated with the client device. User interface metadata is provided for an operating system tray application executing on the client device, wherein the user interface metadata indicates a plurality of different component functions. The plurality of different component functions includes a first component function to obtain, from the agent, at least a portion of the collected metrics, and to provide a first behavior on the operating system tray application. The plurality of different component functions also includes a second component function to obtain service data from a cloud service, and to provide a second behavior on the operating system tray application.

Abstract: Systems and methods for providing ticket support using a machine learning model trained using clusters of support tickets that are clustered based on similarity of resolution commands are provided. The system extracts commands used to resolve prior tickets and creates clusters of resolved tickets based on similarity of the commands. For each cluster, problem statements are extracted from the resolved tickets. The system trains a machine learning model with the extracted problem statements to identify a cluster number for each cluster. With a new support ticket, the system extracts a problem statement from the new ticket and identifies a predicted cluster number by applying the trained machine learning mode! to the problem statement from the new ticket. Based on the predicted cluster number, one or more commands used to resolve the prior tickets in the cluster corresponding to the predicted cluster number are accessed and provided to a requesting user.

Abstract: A communications circuit with an input port, a switching circuit coupled to the input port, and a first and second memory coupled to the switching circuit. The communications circuit also includes controlling circuitry adapted to operate the switching circuit to couple data received at the input port to the first memory while the second memory is disabled from power and to couple data received at the input port to the second memory once the first memory is filled with valid data.

Abstract: Embodiments of the present disclosure relate to a method and system to selecting a waveform in a communication network. The method comprises selecting at least one sequence from a plurality of sequences for transmitting, said plurality of sequences comprises a plurality of sub-set of sequences such that a sequence in a sub-set of sequences is a cyclic shifted version another sequence in said sub-set of sequences. Also, the method comprises rotating at least one sequence from a plurality of sequences by 90 degrees to produce at least one rotated sequence. Further, the method comprises transforming the at least one rotated sequence into frequency domain using a Discrete Fourier Transform (DFT) to generate a transformed sequence and mapping the transformed sequence using a plurality of subcarriers to generate a mapped sequence. Thereafter, the method comprises processing the mapped sequence to generate a waveform having an optimized PAPR, optimized auto and cross-correlation.

Abstract: Methods and systems for power supply unit (PSU) control. A method includes measuring one or more properties of the PSU to obtain property measurements, and initiating transmission of the property measurements to a machine learning (ML) agent hosting a trained ML model. The method further includes receiving the property measurements at the ML agent, and processing the received property measurements using the trained ML model to generate suggested actions to be taken by the PSU. The method further includes predicting the effect of each of the suggested actions on the measured PSU properties, and selecting a subset of the suggested actions predicted to have a significant impact on the measured PSU properties. The method further includes initiating transmission of the selected subset of suggested actions to the PSU, and performing, at the PSU, the selected subset of suggested actions.

Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

Abstract: Systems, methods, and non-transitory computer readable media are provided for determining whether to decommission a particular cell site. Data is received corresponding to a plurality of user devices that have registered with the particular cell site and a determination is reached that a first set of user devices of the plurality of user devices utilizes the particular cell site as a home site. For each user device of the first set of user devices, a customer profile is determined. Based on the customer profile, radio access technology capabilities are determined for each user device of the first set of user devices, and based on the customer profile and the radio access technology capabilities of each user device of the first set of user devices, the particular cell site is ranked as a candidate to be decommissioned.

Abstract: Provided herein are systems and methods for detecting and sanitizing sensitive data using domain-enhanced attention neural networks. In some embodiments, a processor of a client retrieves training data comprising tuples. Each tuple comprises a first parameter and a second parameter. For each tuple the processor matches a substring in a first parameter of the respective tuple to a keyword of a plurality of keywords, identifies a security category corresponding to the at least one keyword, and expands the first parameter of the respective tuple to comprise a respective string associated with the application event and the security category. The processor trains a model to detect and sanitize the sensitive data from the application events using the tuples, including an expanded first parameter for each tuple. The processor sanitizes the sensitive data using the trained model.

Abstract: The present application relates to a network, apparatus, and method for allocating clusters of computing nodes for programming jobs. A network includes a plurality of datacenters including computing resources configurable to instantiate nodes for executing programming jobs on a cluster. The computing resources at one of the datacenters are configured to: provision a live pool including a number of clusters, each cluster in the live pool including a plurality of nodes imaged with a configuration for executing the programming jobs in parallel on the cluster; receive a request from a user to execute a programming job; allocate a cluster from the live pool to the user for the programming job when the cluster is available; evict the cluster from the live pool; and provision a new cluster within the live pool to meet the number of clusters. The number of clusters may be optimized based on linear programming and machine-learning.

Abstract: In a general aspect, a half-bridge circuit includes a substrate having first, second and third patterned metal layers disposed on a surface. The circuit also includes first and second high-side transistors disposed on the first patterned metal layer, and first and conductive clips electrically coupling, respectively, the first and second high-side transistors with the second patterned metal layer. The circuit also includes first and second low-side transistors disposed on the second patterned metal layer, and third and fourth conductive clips electrically coupling, respectively, the first and second low-side transistors with the third patterned metal layer. The circuit further includes a DC+ terminal electrically coupled with the first patterned metal layer via a first conductive post disposed between the first and second high-side transistors, and a DC? terminal electrically coupled with the third patterned metal layer via a second conductive post disposed between the third and fourth conductive clips.

Abstract: Techniques described herein relate to a method for performing knowledge extraction and noise removal for prediction models. The method includes obtaining, by a prediction system, live tabular data; in response to obtaining live tabular data: performing data preprocessing on the live tabular data to generate processed live tabular data; generating a knowledge vector based on the processed live tabular data using a dimensionality reduction model and a tabular attention model; generating a prediction using a prediction model and the knowledge vector; and providing the prediction to a client; wherein the client performs prediction processing using the prediction.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: Disclosed are techniques for communication. In an aspect, a network component determines location assistance data comprising information associated with one or more reconfigurable intelligent surfaces (RISs). The network component transmits, to a user equipment (UE), the location assistance data to facilitate one or more location procedures based on the location assistance data. The UE receives the location assistance data and performs the one or more location procedures based on the location assistance data.

Abstract: An image generation system implements a multi-branch GAN to generate images that each express visually similar content in a different modality. A generator portion of the multi-branch GAN includes multiple branches that are each tasked with generating one of the different modalities. A discriminator portion of the multi-branch GAN includes multiple fidelity discriminators, one for each of the generator branches, and a consistency discriminator, which constrains the outputs generated by the different generator branches to appear visually similar to one another. During training, outputs from each of the fidelity discriminators and the consistency discriminator are used to compute a non-saturating GAN loss. The non-saturating GAN loss is used to refine parameters of the multi-branch GAN during training until model convergence. The trained multi-branch GAN generates multiple images from a single input, where each of the multiple images depicts visually similar content expressed in a different modality.

Abstract: Using various embodiments, methods and systems for implementing secure transaction transfers are described. In one embodiment, a system performing the techniques described herein maintains a multi key index associated with a plurality of financial transactions using a self-balanced sorted tree data structure. Thereafter, the system reads/stores the self-balanced sorted tree data structure into memory and applies a filtering algorithm on the self-balanced sorted tree data structure to determine at least one qualifying financial transaction out of the plurality of financial transactions. The system selects the at least one qualifying financial transaction if it does not exceed a predetermined value. In one embodiment, the predetermined value is determined based on an available maximum utilization amount available to a user. Thereafter, the system transfers the selected at least one qualifying financial transaction to a secured credit card.

Abstract: A wireless device (110) obtains a codebook that is based on a first downlink data to uplink feedback timing set (30) for feedback associated with multicast downlink data and a second downlink data to uplink feedback timing set (31) for feedback associated with unicast downlink data. A number of downlink slots associated with the codebook is determined based on a union of the first set and the second set. The wireless device transmits feedback to a network node (160) based on the codebook. A number of feedback bits (32) in the codebook for a downlink slot associated with the codebook is determined based on a union of a first Time Domain Resource Allocation, TDRA, list and a second TDRA list. The first list indicates possible allocations of symbols for a downlink shared channel for multicast. The second list indicates possible allocations of symbols for a downlink shared channel for unicast.

Abstract: The present invention relates to a method and system to produce a concrete material having optimized strength and particle packing properties. The method and system includes a micro characterization step of a plurality of starting cementitious materials and at least one starting pozzolanic material to get respectively at least one cementitious material having uniform strength and at least one pozzolanic material having uniform blain fineness. Then grinding the said at least one cementitious material having uniform strength and the said at least one pozzolanic material having uniform blain fineness to get at least one cementitious material having a required Blaine fineness and at least one pozzolanic material having a required Blaine fineness. Finally preparing the said concrete material by mixing the said micro characterized cementitious materials and/or pozzolanic materials with at least one aggregate material, at least one additive material or a mixture thereof.

Abstract: The present invention provides a novel reference standard, comprising of activated-quenched polysaccharide, for quantifying polysaccharide content in a vaccine composition using nephelometry. The invention also provides a method for preparing the activated-quenched polysaccharide, for use as a reference standard. Further, a nephelometry based method for quantifying the polysaccharides in a multivalent conjugate vaccine is also provided. The reference standard of the present invention, comprising of the activated-quenched polysaccharide, is stable and can be used for accurate quantification of polysaccharides through nephelometry.