Abstract: A first node may transmit a set of sensing signals. The first node may transmit a phase coherence indication based on a set of phase coherence discontinuities associated with the set of sensing signals to a second node. The second node may receive the set of sensing signals. The set of sensing signals received by the second node may be reflected off of a target object. The second node may receive the phase coherence indication based on the set of phase coherence discontinuities associated with the set of sensing signals. The second node may measure the set of sensing signals based on the phase coherence indication. The first node may be a transmitter node. The second node may be a receiver node. The first or second node may be one of a transmission reception point (TRP), a user equipment (UE), a sensing reference unit, or a positioning reference unit.

Abstract: Methods, systems, and devices for wireless communications are described. In an example, a method includes a first node receiving a precision time protocol (PTP) message, identifying one or more timing domains to be supported by the first node based at least in part on the PTP message, and sending, to a second node of the wireless communication network, an indicator of the one or more timing domains to be supported by the first node. Another example at a node includes receiving, from additional nodes of the wireless communication network, indicators of one or more timing domains supported by the additional nodes, receiving a PTP message associated with a timing domain, and sending the PTP message to a subset of the additional nodes based at least in a part on the indicators of one or more timing domains supported by the additional nodes.

Abstract: An apparatus and method for efficiently creating less computationally intensive nodes for a neural network. In various implementations, a computing system includes a memory that stores multiple input data values for training a neural network, and a processor. Rather than determine a bit width P of an integer accumulator of a node of the neural network based on bit widths of the input data values and corresponding weight values, the processor selects the bit width P during training. The processor adjusts the magnitudes of the weight values during iterative stages of training the node such that an L1 norm value of the weight values of the node does not exceed a corresponding weight magnitude limit.

Abstract: The disclosure relates to a method for receiving labelled data from data sources; generating a plurality of segments from the labelled data using tokenizers, wherein each of the segments is associated with one or more classes, and wherein the plurality of segments comprises a sub-plurality of unique segments; calculating an entropy value for each of the sub-plurality of unique segments; for each class, generating one or more rules based on each of the segments associated with the class and the entropy value of each such segment; and combining the generated one or more rules with a model to improve prediction performance of the model. The labelled data is input data for a classifier model to form predictions and false positives are extracted from the predictions. The model explainability techniques and the false positives are used to create additional rule.

Abstract: Simulation data associated with a simulation test performed with respect to a first set of training data is obtained. Responsive to a determination that the obtained simulation data satisfies one or more criteria, a second set of training data is obtained, where a size of the second set of training data meets or exceeds a size of the first set of training data. A machine learning model is trained using the second set of training data.

Abstract: The present teaching relates to extracting insightful phrases from an input text. Independent contexts are first identified from the input text. With respect to each independent context, initial candidate phrases are generated with respect to linguistic features and are then filtered. Various features are then computed for each filtered candidate phrase and used to select top k candidate phrases for each independent context. A most insightful phrase is then selected from the k top candidate phrases using deep learned models. Such selected most insightful phrases for the independent contexts are then used for facilitating an understanding the input text.

Abstract: Secure sharing of data subsets within a cloud environment, including: receiving, from a requestor, a request to access a dataset that is stored within a cloud-based storage system; identifying one or more characteristics associated with the requestor, identifying one or more characteristics associated with the dataset; and providing the requestor with at least a portion of the dataset, wherein the portion of the dataset that is provided to the requestor is selected in dependence upon the one or more characteristics associated with the requestor and the one or more characteristics associated with the dataset.

Abstract: Structures for an edge coupler and methods of forming a structure for an edge coupler. The structure comprises a substrate, a dielectric layer over the substrate, and a waveguide core over the substrate. The structure further comprises an airgap that extends at least partially through the dielectric layer and that surrounds a plurality of sides of a portion of the waveguide core.

Abstract: A network function selectively supports a mobile device with network settings appropriate for the device context of the mobile device. The network function obtains a device profile for the mobile device, which identifies multiple device groups, with each device group being associated with a corresponding set of network settings. The network function selects a device group among the device groups in the device profile based on a device context of the mobile device. Responsive to a notification of the mobile device in a different device context, the network function supports the mobile device with a different set of network settings that cause a Session Management Function (SMF) to reconfigure the user plane for the mobile device.

Abstract: A network device may obtain information concerning a virtual chassis that indicates that the network device and an additional network device are to be included in the virtual chassis. The network device may determine, based on the information concerning the virtual chassis, that the network device is connected to the additional network device, wherein the network device is connected to the additional network device via a link between a network interface of the network device and a network interface of the additional network device. The network device may cause the network interface of the network device to be converted to a virtual chassis interface and the network interface of the additional network device to be converted to a virtual chassis interface to enable the network device and the additional network device to be included in the virtual chassis to allow bootstrapping of the virtual chassis as a single logical device.

Abstract: This disclosure relates generally to system and method for parameter compression of capsule networks using deep features. The conventional capsule networks have distinct capability of retaining spatial correlations between extracted features but that comes at a cost of intensive computational, cost, memory usage and bandwidth requirement. The embodiments herein disclose a system and method for employing a lightweight deep features based capsule network that is capable of compressing the parameters. In an embodiment, the system includes a deep feature based capsule network such that the capsule layer is preceded by feature blocks. Said feature blocks comprises convolutional operation with a kernel size 3, followed by convolutional operation with kernel of size 1, and a Batch Normalization layer, and hence are able to extract deep features.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: coordinating displaying a personalized list of recommended items on a graphical user interface of a user device of a user; determining a personal replenishment cycle for an item of a set of items previously purchased by the user; increasing available storage space in the one or more non-transitory computer-readable media of the system by removing a first item from the set of items to identify that the user has stopped purchasing the first item; and increasing a network bandwidth of the system by reducing a number of database requests for the set of items previously purchased by the user. Other embodiments are disclosed.

Abstract: Devices, computer-readable media, and methods for changing the state of a network-connected device in response to at least one facial gesture of a user are disclosed. For example, a processing system including at least one processor captures images of a face of a user, detects at least one facial gesture of the user from the images, determines an intention to change a state of a network-connected device from the at least one facial gesture, generates a command for the network-connected device in accordance with the intention, and outputs the command to cause the state of the network-connected device to change.

Abstract: An absorbent article comprising a liquid permeable topsheet, a backsheet, an absorbent core comprising an absorbent material and a core wrap is provided. The core comprises at least one channel-forming area that is substantially free of absorbent material. The absorbent article comprises a masking layer between the bottom side of the core wrap and the backsheet. The masking layer and the bottom side of the core wrap are only partially bonded to each other at their interface, the interface thus comprising a bonded portion and an unbonded portion, wherein the channel-forming area at least partially corresponds to the unbonded portion of the interface, so that when the absorbent material swells, the masking layer can decouple from the three-dimensional channels.

Abstract: Described are systems and methods directed to a body change journey that utilizes collected two-dimensional (“2D”) body images of a body of a user, generation and presentation of a personalized three-dimensional (“3D”) body model of the body of the user based on those 2D body images, the generation and presentation of different predicted personalized 3D body models of the body of the user at different body measurements (e.g., different body fat percentages, different muscle mass amounts, different body weights, etc.), and the generation of a body change journey that guides the user from their current body model to a selected target body model that is represented by a target personalized 3D body model of the body of the user.

Abstract: A power-management scheme where when a system-on-chip (SoC) is in an active state, control and monitoring logic or circuitry turns off all wake logic or circuits for various associated intellectual property (IP) blocks. Based on user defined operating system power manager (OSPM) policies, OSPM kicks off an interrupt to the control and monitoring logic or circuitry to turn off or power gate the wake logic for individual IP blocks in the SoC. As such, wake logic that are idle in active state (e.g., S0 state) and would otherwise draw power in the S0 state are now turned off, thus saving power and/or extending battery life for the system. When the SoC is in a low power state, then the control and monitoring logic or circuitry selectively turns on the wake logic for the associated IP blocks based on detected user presence for the computing system having the SoC.

Abstract: State of the art track width adjustment mechanism fail to support track width adjustment while vehicle is in motion. They also require manual intervention, which causes inconvenience. The disclosure herein generally relates to wheel track adjustment, and, more particularly, to a changeable wheel track mechanism for track width adjustment (referred to as TWA mechanism). The TWA mechanism includes a steer and drive unit, a plurality of links, and a sliding unit. The TWA mechanism allows movement of a wheel in inward and outward directions, causing the track width adjustment. The track width is achieved by changing the wheel position to be at a wider position, or a narrower position, or any intermediate position. The TWA mechanism may be associated with any vehicle for which the track width adjustment is to be achieved.

Abstract: The present disclosure is related to a field of payment transactions using a card that discloses a computer-implemented method and a system for restricting a transaction while using a payment card. A card processing server may receive card details, a transaction amount, a flag, and signature data of the payment card from a remote terminal upon initiating a transaction using the payment card. Further, the card processing server validates the payment card based on the card details and the signature data of the payment card and thereafter determines a value associated with the flag upon successful validation. The value associated with the flag indicates one of two conditions, e.g., a true condition and a false condition. Based on the condition indicated by the flag, the card processing server performs one of a first action and a second action related to either processing or declining the transaction.

Abstract: To protect the integrity of data stored in a protected area of memory, data in the protected area of memory is retrieved in data blocks and an authentication code is associated with a memory granule contiguously comprising a first data block and a second data block. Calculation of the authentication code comprises a cryptographic calculation based on a first hash value determined from the first data block and a second hash value determined from the second data block. A hash value cache is provided to store hash values determined from data blocks retrieved from the protected area of the memory. When the first data block and its associated authentication code are retrieved from memory, a lookup for the second hash value in the hash value cache is performed, and a verification authentication code is calculated for the memory granule to which that data block belongs. The integrity of the first data block is contingent on the verification authentication code matching the retrieved authentication code.

Abstract: A method used in forming a memory array comprising strings of memory cells and operative through-array-vias (TAVs) comprises forming a stack comprising vertically-alternating insulative tiers and conductive tiers. The stack comprises a TAV region and an operative memory-cell-string region. Operative channel-material strings are formed in the stack in the operative memory-cell-string region and dummy channel-material strings are formed in the stack in the TAV region. At least a majority of channel material of the dummy channel-material strings is replaced in the TAV region with insulator material and operative TAVs are formed in the TAV region. Other methods and structures independent of method are disclosed.