Abstract: Disclosed are techniques for wireless communication. In an aspect, a first user equipment (UE) establishes a radio resource control (RRC) connection for a communication session with a second UE, establishes a signaling radio bearer (SRB) for the communication session with the second UE on a first frequency band, sends, to the second UE over the SRB on the first frequency band, a first RRC message to establish a data radio bearer (DRB) for the communication session on a second frequency band, the first RRC message including one or more parameters for establishing the DRB on the second frequency band, and configures the DRB on the second frequency band based on the one or more parameters in the first RRC message and/or a device-to-device discovery procedure performed in the first frequency band.

Abstract: A system and method for controlling a vehicle system may determine one or more of a route parameter of a route on which the vehicle system is moving or a vehicle parameter of the vehicle system. The system and method may also determine whether a ratio of a lateral force exerted by one or more wheels of the vehicle system on the route to a vertical force exerted by the one or more wheels of the vehicle system on the route increases to a value exceeding a designated threshold as a result of the one or more route parameter of vehicle parameter that is determined. The ratio of the lateral force to the vertical force exerted by the one or more wheels of the vehicle system on the route may be reduced to a value less than the designated threshold by changing an operation of the vehicle system.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. In some implementations, a user equipment (UE) and method to manage a rejected network slice selection assistance information (NSSAI) is disclosed. The method may include receiving, from a network, an activate default EPS bearer context request message with a Single-NSSAI (S-NSSAI) and a Public Land Mobile Network (PLMN) identifier (ID). In addition, the method may include removing the S-NSSAI from a rejected NSSAI list for a current PLMN.

Abstract: A method is provided that includes receiving, by a first device from a second device, a freight carrier for shipping a product and an account number for the freight carrier, validating, by the first device, the account number by communicating with a third device, and allowing, by the first device, completion of checkout on the second device in response to successfully validating the account number.

Abstract: A computer-implemented system, platform, computer program product, tool, and/or method for re-running alert reports that includes: identifying an alert report to be rerun; collecting information on the alert report; gathering information on the configuration of a data analytics pipeline that generated the alert report; gathering data used to generate the alert report; recreating a regenerated data analytics pipeline based upon the information gathered on the configuration of the data analytics pipeline that generated the alert report; running the regenerated data analytics pipeline using the gathered data to create a rerun alert report; and optionally comparing the rerun to the original run including optionally generating a visual display of the results including in an aspect creating a side-by-side comparison of the tasks.

Abstract: Described embodiments provide systems, methods, non-transitory computer-readable medium for using a single sign-on (SSO) to access an application. A client application on a client device in communication with an identity provider and an application on a remote computing device. The client application can authenticate a user via an identity provider to establish an authentication session. The client application can identify a request to access a uniform resource locator (URL) of the application hosted on the remote computing device. The client application can determine that a configuration of the client application identifies a remapped URL for the URL is available. The client application can access the remapped URL instead of the URL to cause the user to use the authentication session of the identity provider and be redirected from the identity provider to a link of the application on the remote computing device.

Abstract: Disclosed are various embodiments for improving the resiliency and performance of clustered memory. A computing device can generate at least one parity page from at least a first local page and a second local page. The computing device can then submit a first write request for the first local page to a first one of a plurality of memory hosts. The computing device can also submit a second write request for the second local page to a second one of the plurality of memory hosts. Additionally, the computing device can submit a third write request for the parity page to a third one of the plurality of memory hosts.

Abstract: A monolayer multi-axial integral geogrid suitable for stabilizing aggregate includes a plurality of interconnected oriented strands and partially oriented junctions forming a repeating pattern of outer hexagons having an array of openings therein. Oriented ribs extending inwardly from each of said outer hexagons support and surround a smaller inner hexagon having oriented strands thus forming a plurality of trapezoidal openings and a single hexagonal opening. The oriented strands and partially oriented junctions of the outer hexagons form a plurality of linear strong axis strands that extend continuously throughout the entirety of the geogrid and form additional triangular openings. The geogrid thus includes three different repeating geometric shapes. The inner hexagons preferably also can move up and down, out of the plane of the geogrid. The multi-axial integral geogrid thus provides a geometry that can better engage with, confine and stabilize a greater variety and quality of aggregates.

Abstract: Techniques for executing machine learning (ML) models including receiving an indication to run an ML model on a processing core; receiving a static memory allocation for running the ML model on the processing core; determining that a layer of the ML model uses more memory than the static memory allocated; transmitting, to a shared memory, a memory request for blocks of the shared memory; receiving an allocation of the requested blocks; running the layer of the ML model using the static memory and the range of memory addresses; and outputting results of running the layer of the ML model.

Abstract: An in-memory computation circuit includes a memory array with SRAM cells connected in rows by word lines and in columns by bit lines. Body bias nodes of the transistors in each SRAM cell are biased by a modulated body bias voltage. A row controller circuit simultaneously actuates word lines in parallel for an in-memory compute operation. A column processing circuit processes analog voltages developed on the bit lines in response to the simultaneous actuation to generate a decision output for the in-memory compute operation. A voltage generator circuit switches the modulated body bias voltage from a non-negative voltage level to a negative voltage level during the simultaneous actuation. The negative voltage level is adjusted dependent on integrated circuit process and/or temperature conditions in order to optimize protection against unwanted memory cell data flip.

Abstract: A method for repairing a memory device with faulty memory cells. The method includes defining a RA environment comprising a location of each of the faulty memory cells and a plurality of SR and a plurality of SC. The method further includes repairing the faulty memory cells based on an RA training process using the defined RA environment and mapping of the location of each faulty memory cell with the plurality of SC or SR. The method further includes training, based on a determination that indicates the at least one faulty memory cell among the faulty memory cells is left unrepaired and the at least one SC or SR is remaining, a first NN to perform an action for repairing of the faulty memory cells such that a maximum number of faulty memory cells are reparable and a minimum number of SC and SR are utilized during the repairing.

Abstract: Training a user-specific perturbation generator for an audio feature detection model includes receiving one or more positive audio samples of a user, each of the one or more positive audio samples including an audio feature; receiving one or more negative audio samples of the user, each of the one or more negative audio samples sharing an acoustic similarity with at least one of the one or more positive audio samples; and adversarially training a user-specific perturbation generator model to generate a user-specific perturbation, the training based on the one or more positive audio samples and the one or more negative audio samples. Perturbing audio samples of the user with the user-specific perturbation can cause an audio feature detection model to recognize the audio feature in audio samples that include the audio feature and/or to refrain from recognizing the audio feature in audio samples that do not include the audio feature.

Abstract: This disclosure relates generally to a method and system for multi-modal image super-resolution. Conventional methods for multi-modal image super-resolution are performed using joint image based filtering, deep learning and dictionary based approaches which require large datasets for training. Embodiments of the present disclosure provide a joint optimization based transform learning framework wherein a high-resolution (HR) image of target modality is reconstructed from a HR image of guidance modality and a low-resolution (LR) image of target modality. A set of parameters, transforms, coefficients and weight matrices are learnt jointly from a training data which includes a HR image of guidance modality, a LR image of target modality and a HR image of target modality. The learnt set of parameters are used for reconstructing a HR image of target modality. The disclosed joint optimization transform learning framework is used in remote sensing, environment monitoring and so on.

Abstract: A method of wireless communication by a user equipment (UE) includes receiving, from a network, a capability request including a frequency band filter. The method further includes retrieving, from a server, a prioritized list of frequency band combinations based on a location of the UE. The method still further includes transmitting, to the network, the prioritized list adjusted based on the frequency band filter, in response to the capability request. A method of wireless communication by a network device includes receiving, from a UE, a request for a list of frequency band combinations based on a location of the UE. The method further includes transmitting, to the UE, a prioritized list of frequency band combinations for the location of the UE. The prioritized list is based on a selected network configured frequency band combination associated with the location of the UE.

Abstract: An organometallic compound, represented by Formula 1: M1(Ln1)n1(Ln2)n2??Formula 1 wherein, in Formula 1, M1 is a transition metal, Ln1 is a ligand represented by Formula 1A, Ln2 is a ligand represented by Formula 1B, n1 is 1 or 2, and n2 is 1 or 2: wherein, in Formulae 1A, 1B, CY1, CY2, CY4, X1, X2, Y1, R1, R2, R10, R20, R40, R31, R32, R33, R34, R40, b10, b20, and b40 are as provided herein, and wherein * and * each indicate a binding site to M1.

Abstract: Methods, apparatuses, and systems for accessing internal network resources using application custom tab are described herein. A first application implemented on a computing device may present a link pointing to a resource of an internal network. After selection of the link, a web browsing tab of a second application may be used to access the link and/or to render a web page corresponding to the link. The web browsing tab may establish a connection with the internal network, and/or may access the resource of the internal network via the connection. The web browsing tab of the second application may be customized by the first application.

Abstract: In one embodiment, a device obtains telemetry data for network paths to a plurality of servers for an online application. The telemetry data includes application experience metrics based on feedback provided by users of the online application. The device decomposes the telemetry data for the network paths from different vantage points. The device also identifies, using the decomposed telemetry data, a particular endpoint of the online application as a cause of application experience degradation for the online application. The device provides an alert indicative of the particular endpoint of the online application being the cause of quality of experience degradation for the online application.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for accounting for long-tail training data.

Abstract: Various embodiments providing for an indicator (termed the “Traffic Category Indicator,” TCI) to be encoded into packets, different values of which can be used, e.g., to distinguish Traffic Engineered (TE) packets and non-TE packets. In an example embodiment, the TCI can be used, e.g., to configure a network node to implement different packet queues, on each link, for TE packets and non-TE packets. In embodiments corresponding to the DiffServ TE paradigm, a node can be configured to implement different queues within each Forwarding Class for each link, said different queues distinguished by different respective TCI values. Example benefits of TCI include, but are not limited to fate separation of TE and non-TE packets in a node. The TCI concept can beneficially be applied to different packet-switching technologies supporting Source Routing, such as the IP, MPLS, Ethernet, etc.

Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.