Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve identifying that a software update is available for a smart infrastructure system. The example method may also involve determining, by a processor of the smart infrastructure system and using a signal strength between a first vehicle and the smart infrastructure system, that the first vehicle is within a threshold range of the smart infrastructure system. The example method may also involve establishing, by the smart infrastructure system, a first ad-hoc peer-to-peer communication link with the first vehicle. The example method may also involve sending, to the vehicle, a request for the software update. The example method may also involve receiving, from the vehicle, at least a first portion of the software update that is transferred using the first ad-hoc peer-to-peer communication link.

Various approaches for deployment and use of configurable edge computing platforms are described. In an edge computing system, an edge computing device includes hardware resources that can be composed from a configuration of chiplets, as the chiplets are disaggregated for selective use and deployment (for compute, acceleration, memory, storage, or other resources). In an example, configuration operations are performed to: identify a condition for use of the hardware resource, based on an edge computing workload received at the edge computing device; obtain, determine, or identify properties of a configuration for the hardware resource that are available to be implemented with the chiplets, with the configuration enabling the hardware resource to satisfy the condition for use of the hardware resource; and compose the chiplets into the configuration, according to the properties of the configuration, to enable the use of the hardware resource for the edge computing workload.

Apparatuses, systems, and methods identify, among a plurality of DSL lines, a subgroup of DSL lines based on one or more common characteristics and use the common characteristic(s) to identify a set of power control parameters that enable an upstream rate for the subgroup of DSL lines that is different than an upstream rate for DSL lines in the plurality of DSL lines that do not include the subgroup of DSL lines before applying the set of power control parameters to the subgroup of DSL lines to achieve the upstream rate.

The mill for spice products, in particular such as cinnamon sticks, houses a reservoir for storing the spice product. The reservoir communicates through a passage, with a grinding mechanism. The reservoir includes a mechanism for fragmenting the spice product. The mechanism for fragmenting are defined by a crusher of the spice product.

A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to determine network slices for a plurality of user equipment (UE) devices associated with a base station wherein a particular network slice identifies a particular service category or a UE device attribute category associated with particular ones of the plurality of UE devices, determine a distribution of network slices for the base station based on the determined network slices for the plurality of UE devices, and determine an adjustment for an optimization parameter based on the distribution of network slices for the base station. The computer device may be further configured to adjust the optimization parameter for the base station based on the determined adjustment, wherein adjusted optimization parameter is used by the base station to manage data traffic associated with the plurality of UE devices.

A method for predicting network-traffic bursts includes identifying, in data received by a networking device, a plurality of network-traffic bursts, each of the plurality of network-traffic bursts occurring at a respective one of plurality of burst-times {t.sub.N, t.sub.N−1, . . . , t.sub.0}. The method includes determining a time-interval τ.sub.n of a next burst occurring at τ.sub.n after burst-time t.sub.1 by determining respective values of τ.sub.n, a parameter ξ, and a parameter η, that minimize, to within a tolerance, a quantity (ƒ.sub.k(ξ,η,k)−(τ.sub.n−t.sub.k)) for at least three values of a integer k. Parameters ξ and η are, respectively, a real and imaginary part of a power-law exponent of a power law relating predicted time-interval τ.sub.n to any of the plurality of burst-times. The method includes determining, from a cumulative distribution function of a normal distribution of previously-identified network-traffic bursts, a time-duration during which the networking device may reallocate bandwidth.

In one embodiment, a method includes transmitting pulse power on two wire pairs, the pulse power comprising a plurality of high voltage pulses with the high voltage pulses on the wire pairs offset between the wire pairs to provide continuous power, performing low voltage fault detection on each of the wire pairs between the high voltage pulses, and transmitting data on at least one of the wire pairs during transmittal of the high voltage pulses. Data transmittal is suspended during the low voltage fault detection.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

A load control system for controlling the amount of power delivered from an AC power source to a plurality of electrical load includes a plurality of energy controllers. Each energy controller is operable to control at least one of the electrical loads. The load control system also includes a first broadcast controller that has a first antenna and a second antenna. The first antenna is arranged in a first position and the second antenna is arranged in a second position that is orthogonal to the first position. The broadcast controller is operable to transmit a first wireless signal via the first antenna and a second wireless signal via the second antenna. Each of the energy controllers is operable to receive at least one of the first and second wireless signals, and to control the respective load in response to the received wireless signal.

A network switch includes a first port configured for communication with a first electric device and a second port configured for communication with a second electric device in a deterministic network. The network switch includes one or more processors configured to receive at the first port a communication packet associated with the first electric device and the second electric device, determine if the communication packet satisfies a plurality of protocol constraints, and in response to the communication packet satisfying the plurality of protocol constraints, input one or more message characteristics from the communication packet into a model associated with a first industrial process. The model is configured to output a process behavioral classification based on the one or more message characteristics. The one or more processors receive a process behavioral classification for the communication packet, and selectively generate a control action for the ICS based on the process behavioral classification.