Abstract: Examples are disclosed for upgrading services of a software-based service according to a predefined sequence to account for dependencies between services. An upgrade package that includes a manifest defining an order for upgrading services of the software-based system is retrieved. Each service is upgraded according to the sequence and a status log is modified following each upgrade to include a unified status summary associated with all services being upgraded.

Abstract: Embodiments disclosed herein relate to user-centric security classifications of cryptographic token sets that represent a prediction of whether a token set is malicious. A user-centric security classification of a token set is generated according to user behaviors that characterize users involved with the token set, including users holding tokens of the token set and users creating tokens of the token set. A model is trained to recognize user behaviors of certain users whose involvement with the token set increase the likelihood that the token set is non-malicious and secure. Such user behaviors that the model is trained to recognize include high time-rank behaviors, or holding onto cryptographic tokens for extended lengths of time. Upon generation of a user-centric security classification for a token set, graphical displays of tokens or of the token set are updated to reflect the user-centric security classification.

Abstract: A transaction card comprises a piezoelectric chip configured to detect an impact applied to at least a portion of the transaction card, and generate an electrical pulse signal based on the detected impact. A processing circuitry of the transaction card is coupled to the piezoelectric chip. The processing circuitry, upon powering on, is configured to enable data exchange between the transaction card and a terminal device for executing a card-based transaction at the terminal device. The data exchange is enabled only when a magnitude of the electrical pulse signal exceeds a threshold value, thereby preventing unwanted data transfer from the transaction card.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure, via a multi-modal encoder of an image processing apparatus, encodes a text prompt to obtain a text embedding. A color encoder of the image processing apparatus encodes a color prompt to obtain a color embedding. A diffusion prior model of the image processing apparatus generates an image embedding based on the text embedding and the color embedding. A latent diffusion model of the image processing apparatus generates an image based on the image embedding, where the image includes an element from the text prompt and a color from the color prompt.

Abstract: System and method are disclosed for multi-phase process of automated data capture for photogrammetry and 3D model building of an unknown object (311) in an unknown environment. Planner module (152) generates a flight plan (413) for a camera drone (110) to fly autonomously on a flight path along a virtual polygon grid (302) defined above the target object (311) during a survey phase. Model builder computer (153) receives a point cloud dataset (321) captured by LiDAR sensor on camera drone (301) during survey flight and constructs low resolution 3D mesh (331) of the target object (311). Planner module (152) generates a flight path (413) for camera drone inspection phase with virtual waypoints surrounding the target object (311) at a marginal distance from the surface defined by the low resolution 3D mesh (331).

Abstract: Disclosed herein is a social media platform profile identification and social discovery feature. Disclosed social media networks enable introduction of users that may not otherwise know one another based on commonality between those users. Social media profiles are identified by digital objects instead of or in addition to more traditional indexing methods such as real names or screen names. Social discovery on a social network is performed via matching to similar behavior profiles in activity monitored by a block explorer. Machine learning models categorize behavior patterns observed by the block explorer into a machine recognized glossary. Social networks further recommend actions by users based on the monitored online behaviors of social connections.

Abstract: The present disclosure relates to a composition for use in a gas storage vessel, said composition comprising at least two MOF monolithic bodies, including at least about 50 wt % of a first MOF monolithic body, and a second MOF monolithic body. The MOF monolithic bodies contain MOF and binder. The first MOF monolithic body has a volume of macropores of about 15% or less of the envelope volume of the first MOF monolithic body, a particle aspect ratio of about 2 or greater and a smallest particle diameter of greater than or equal to about 1 mm. The second MOF monolithic body has a largest particle diameter about equal to or less than the smallest particle diameter of the first MOF monolithic body.

Abstract: A glitch filtering circuit has a counting circuit configured to provide one or more counter output signals indicating whether an input signal has remained in a first signaling state or in a second signaling state for a preconfigured duration of time; a flipflop clocked by a clock signal and configured to provide an output of the glitch filtering circuit; a threshold detect circuit configured to generate a select signal based on the one or more counter output signals; and a multiplexer configured to provide a multiplexed signal to an input of the flipflop, the multiplexed signal having a signaling state that is selected in accordance with the select signal from an input fixed at the first signaling state, an input fixed at the second signaling state and an input that is coupled to the output of the glitch filtering circuit.

Abstract: A battery management system (BMS) is presented herein. The BMS has a master node. The master node includes a master transceiver and a controller communicably coupled to the master transceiver. The BMS has a plurality (n) of slave nodes. Each slave node of the n slave nodes includes a slave transceiver for communicably coupling to at least one battery monitor. The controller of the BMS is configured to direct the master transceiver to establish a communications network with the n slave nodes. To establish the communications network, the controller is also configured to respectively assign each of the n slave nodes to non-overlapping time slots of a superframe. The controller is further configured to direct the master transceiver to consecutively receive uplink (UL) transmissions from the n slave nodes in the non-overlapping time slots of the superframe.

Abstract: A user equipment (UE) device may perform random access to a base station in the context where propagation delay between the base station and the UE device is large. The UE device randomly selects a random access preamble from an available set of preambles. The UE device selects a time slot for transmission of the random access preamble based on a configured correspondence between allowable time slots and subsets of the available set. The UE device transmits the random access preamble to a base station in the selected time slot, with timing advance to compensate for a common delay. Thus, the base station, knowing the configured correspondence, is able to determine the time slot in which the random access preamble was transmitted. The UE device receives a random access response that has been addressed with a Random Access Radio Network Temporary Identifier (RA-RNTI).

Abstract: The present application relates to devices and components, including apparatus, systems, and methods for selecting timer values and starting or stopping timers related to configured grant or discontinuous reception.

Abstract: The present application relates to devices and components including apparatus, systems, and methods to configure a UE for dual connectivity. In an example, a network node requests the UE to indicate the capability it supports for the dual connectivity. This request can implicitly or explicitly indicate that the UE should report carrier grouping information. In response, this information is sent by the UE, and the network node can configure an MCG and an SCG for the UE based on the reported carrier grouping information.

Abstract: A method comprises: at user plane functions (UPFs) of a network, creating a multicast group of the UPFs to enable inter-UPF communication between the UPFs in a multicast domain and, by each UPF: exchanging messages with peer UPFs of the UPFs in the multicast domain to learn peer attributes of the peer UPFs; reporting the peer attributes of the peer UPFs to a session management function (SMF) of the network; and at the SMF, selecting, for a data session, particular UPFs of the UPFs to be configured into a UPF chain of a data path for traffic from user equipment to a data network, based on the peer attributes of the peer UPFs as reported by the UPFs.

Abstract: This disclosure relates to techniques for providing broadcast and multicast services to wireless devices while in Idle and Inactive modes a wireless communication system. A wireless device may establish a wireless link with a cellular base station of a cellular network. The wireless device may receive information indicating whether provision of a broadcast or multicast service in one or more of an inactive mode or an idle mode is supported by the cellular network. The wireless device may receive the broadcast or multicast service in one or more of the inactive mode or the idle mode based at least in part on the information indicating whether provision of the broadcast or multicast service in one or more of the inactive mode or the idle mode is supported by the cellular network.

Abstract: A user equipment (UE) is configured to deactivate/activate a point-to-multipoint (PTM) link of a multicast radio bearer (MRB). The UE receives, from a base station of a wireless network, a multicast radio bearer (MRB) configuration, wherein the MRB includes configuration of a split MRB including a point to multipoint (PTM) link and a point to point (PTP) link, deactivates or activates the PTM link based on the MRB configuration, reestablishes a radio link control (RLC) associated with the PTM link and recovers a packet data convergence protocol (PDCP).

Abstract: A UE may coordinate the use of a low Power Wake-Up Radio (LR) and a main radio (MR) to determine a Radio Resource Management (RRM) measurement. The UE may enter a deep sleep state by turning off a MR and turning on a LR. The UE may measure the serving cell quality when in the deep sleep state, and enter a normal state by turning on the MR, when the serving cell quality is less than a threshold. The UE may perform a neighbor cell measurement, when in the normal state when a serving cell measurement meets a criteria.

Abstract: Systems and methods for image tagging are provided. One aspect of the systems and methods includes encoding an image and a tag of the image using a multimodal encoder to obtain an image embedding and a text embedding, respectively. Another aspect of the systems and methods includes generating training data for a machine learning model by filtering a plurality of image-tag pairs based on a similarity between the image embedding and the text embedding. Another aspect of the systems and methods includes training the machine learning model using the training data.

Abstract: The present application relates to devices and components, including apparatus, systems. and methods for buffer status reporting in wireless networks.

Abstract: A user equipment (UE) may camp on a base station of a network. The UE receives, from the base station of a wireless network, a broadcast including access restrictions, wherein the access restrictions include one or more predetermined criteria that must be satisfied to camp on the base station. The UE then determines whether the UE satisfies the one or more predetermined criteria.

Abstract: Disclosed herein is a social media platform profile identification feature. Social media profiles are identified by digital objects instead of or in addition to more traditional indexing methods such as real names or screen names. Associating a digital object as a Social Media avatar, or as a profile detail enables the social media platform to index the digital object and enable users to search for the subject user with the digital object or descriptions thereof. A digital object generator builds unique digital objects based on the user specific input. The unique digital objects are part of a graphic presentation to users.