316 results about "Network component" patented technology

A machine learning model may be configured for training using an associated learning technique. A model configured for end-to-end backpropagation may adapted for associated learning by introducing functions for projecting hidden vectors and labels to a shared representation space and for reconstructing labels from representation vectors. An associated learning loss may be calculated at each layer, with the resulting gradients backpropagated locally through that layer rather than all layers. A reconstruction loss may be calculated using each layer's output including the predicted label. Training by associated learning may be parallelized (e.g., layer by layer) to yield efficiency gains. In addition, associated learning training may be more robust to training label errors. The resulting model may be used to, for example, predict data sequences in an autoregressive manner in which subsequent portions of the output data sequence are predicted in part based on previous predicted portions of the output data sequence.

Embodiments manage data in a file system over a network. A plurality of file system operations in the file system may be executed based on a file system client action or a file system administrative action such that the file system may be integrated with a network. Characteristics of the plurality network components in the network infrastructure that may be associated with the file system may be determined. Tests may be generated based on the characteristics of the network components such that the tests may be executed to evaluate the network components. Results of the tests may be employed to perform further actions, including determining non-compliant network components based on the results; modifying the network infrastructure based on the non-compliant network components such that one or more of file system operations are modified based on the non-compliant network devices; executing the modified file system operations on the modified network infrastructure.

Various methods and processing systems for the effective management of network traffic and facilitating data forwarding within distributed computing environments. Network components may be configured to amalgamate the Border Gateway Protocol (BGP) with Source Network Address Translation (SNAT) or network address port translation (NAPT) technologies to facilitate dynamic notification of network address accessibility and use port index identifiers to augment the precision and resilience of routing. A distributed SNAT / NAPT virtual network function (VNF) or cloud-native network function (CNF) may collaborate with LEAF switches or server aggregation devices to refine data transmission via adaptable address mapping and forwarding and enhance network scalability and resilience.

The invention provides a network security assessment method and system based on threat intelligence, and the method comprises the steps: obtaining a threat intelligence data set and a to-be-assessed network data set, and carrying out the feature association extraction processing, thereby obtaining a target security feature set; the target security feature set covers threat and component association matching, threat and behavior influence conduction and network component protection capability features, calling a pre-training security assessment model to carry out risk situation analysis on the target security feature set, and generating a network security assessment result including a potential threat triggering probability and a threat influence propagation path, and determining a to-be-evaluated network risk level and key risk point distribution information according to the network security evaluation result, generating a network security evaluation report containing a risk positioning identifier, and outputting the network security evaluation report to the network management terminal to support security policy adjustment operation, so that the network security condition can be comprehensively and accurately evaluated, and the user experience is improved. And the pertinence and effectiveness of safety protection are improved.

Apparatuses, systems, and techniques including APIs to enable one or more fifth generation new radio (5G-NR) network components to write, read, send, transmit, load, or otherwise obtain packaging, synchronization, and / or management information. For example, a processor comprising one or more circuits to perform an application programming interface (API) to cause fifth generation new radio (5G-NR) packaging, synchronization, or management information to be indicated to one or more accelerators.

A system and method for the dynamic authentication revocation using privilege assurance of enterprise computer network environments using lateral movement detection and prevention. The system uses local session monitors to monitor logon sessions within a network, generating and verifying event logs and authentication records to ensure the legitimacy of authenticated user sessions and to revoke credentials when an illicit session is detected and further removing potentially compromised network components from the network, halting lateral movement in real-time.

Aspects of the disclosure are directed to ray-tracing (RT) configurations (e.g., RT parameters such as the number of reflections, refractions (transmissions through walls), diffractions, scattering type / modeling, etc., and so on) for a RT procedure associated with modeling one or more wireless channels in an environment. In an aspect, a user equipment (UE) performs the RT procedure based on a model of the environment and a respective RT configuration. The UE transmits a RT report based on the RT procedure to a network component (e.g., a digital twin (DT) entity, location management function (LMF), or sensing management function (SnMF)), which may then utilize the RT report to update a digital twin (DT) of the environment. Such aspects may provide various technical advantages, such as more efficient RT procedures, higher quality RT procedures, more accurate DT modeling, etc.

The invention provides a tailing pond abnormal data monitoring method based on an improved Transform, and belongs to the technical field of tailing pond safety monitoring. Adding a time convolutional network before the self-attention mechanism, performing fine modeling on different time sequence associations by adopting a branch structure to obtain an optimized attention mechanism, and constructing a detection model based on the optimized attention mechanism and the time convolutional network; and training the constructed detection model based on the reconstruction loss function and in combination with a maximum and minimum value strategy, calculating an abnormal score based on the trained detection model, and identifying an abnormal point in the abnormal score. By introducing a time convolutional network component to replace an absolute position coding mechanism in a traditional Transform model, complex long-term dependency in time sequence data is successfully captured, effective fusion of global time sequence information is realized, and the accuracy of anomaly detection is improved. And secondly, a self-attention mechanism module is optimized, the recognition capability of the model on an abnormal mode is enhanced, and the detection performance is further improved.

An apparatus is configured to communicate with multiple network components in a service-based architecture and comprises a memory and a processor. The memory stores multiple configuration commands. The processor is configured to generate a request to establish a communication session between a first network component, a second network component, and a third network component. The first network component exchanges connectivity signals with the second network component and the third network component. The second network component performs first plurality of session operations in response to the connectivity signals exchanged with the first network component. The second network component reports to the third network component that the first session operations are performed. The processor is further configured to, in response to determining that the communication session between the first network component and the second network component is lost, maintain the communication session between the first network component and the third network component.

A method for enhancing security of data, code, and / or network components by introducing a layer of integrity management that adapts to changing conditions within a network. The method may include use of a processor to perform intrusion analysis using an intrusion detection system and / or prevention system, behavioral analysis by accessing user logs to see if behavior is within a normal range, and / or geolocation analysis to see if the piece of data, section of code, and / or network component are within their usual surroundings. When there is a concern of a data breach, leak, and / or hack, the processor may initiate a response that detects other pieces of data, sections of code, and / or network components in proximity, initiates a self-destruct mechanism, triggers hardware to perform outside of operational specifications, and contains the spread of the data breach, leak, and / or hack through shutdown procedures, isolating affected systems, and / or alerting security personnel.

A reduced capability (redcap) user equipment (UE) is configured to receive a positioning reference signal (PRS) configuration from a network component and perform one or more positioning operations based at least in part on the PRS configuration. A base station is configured to receive, from a location management function (LMF) of a network, a positioning reference signal (PRS) configuration for a reduced capability user equipment (redcap UE) and transmit PRS to the redcap UE based on the PRS configuration.

Systems and methods are provided for increasing space for external connectors on network components mounted on a rack or cabinet. According to one implementation, a Network Element (NE) assembly includes a blade module having a relatively flat form factor. The blade module, for instance, includes at least a front section, a rear section, a left-side section, and a right-side section. When the blade module is mounted in a rack, the front section thereof is arranged at or near a front portion of the rack and the rear section thereof is arranged at or near a back portion of the rack. Furthermore, the NE assembly further includes a first side-plane connector module configured to be coupled with the left-side section or right-side section of the blade module.

System and methods for performing emergency communications availability determinations are disclosed. Network components may be configured to determine the activity status of public safety access points (PSAPs) in a network, the areas the PSAPs are associated with, and their particular function relative to those areas. This information may be provided to user equipment (UEs) that may use this information along with signal data to determine a particular graphical element to present on an interface that indicates the level of emergency communications services available to the UE at the present time.

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) or network component may select a measurement window type corresponding to the positioning reference signal (PRS) processing window (PPW) or a measurement gap (MG) for measurement processing of each instance of a positioning frequency layer (PFL) for a positioning session of the UE based on one or more selection criteria.

The invention discloses a multi-model compression deployment method and system based on pruning, a medium and equipment, and belongs to the technical field of artificial intelligence model compression and edge computation.The method comprises the steps that the network layer topological relation of each model to be deployed is extracted, and an internal dependency graph is constructed; iteratively calculating node importance scores, cutting off nodes and edges which have the lowest importance and are not on a critical path in each round, synchronously deleting a network layer and reconstructing a computational graph until the model volume reaches a target threshold value, and obtaining each first model; constructing a cross-model dependency graph of which the edge weight is determined by the data sharing rate and the interaction frequency by taking each first model as a node and the data flow direction between the models as an edge; and screening candidate edges with weights higher than a threshold value, and if the function overlapping degree of the corresponding model pair exceeds a preset threshold value, merging overlapped network components to complete model compression and deployment. By implementing the method, the problem that a plurality of models cannot be efficiently deployed at the edge end of the transformer substation due to limitation of computing power and memory in the prior art can be solved.

A system comprises one or more devices that implement network functions (NFs). The NFs comprise a network data analytics function (NWDAF) configured to provide first analytics to a policy control function (PCF). In addition, the NFs also comprise the PCF configured to: receive the first analytics from the NWDAF; generate a first policy rule based on the first analytics; and forward the generated first policy rule to a network component to process the first policy rule at the network component.

In an aspect, a network component (e.g., BS, LMF, etc.) determines a configuration of a first search window associated with a downlink positioning reference signal (DL-PRS) resource from a transmission reception point (TRP) to a user equipment (UE) and a second search window associated with the DL-PRS resource from the TRP to the UE. The network component transmits the configuration to the UE. The UE performs one or more positioning measurements of the DL-PRS resources based on the first and second search windows.

A communication network configured to support time-sensitive interconnection communication is disclosed. In one example, the communication network comprises: communication network components, each configured to provide a functionality for data communication from a source device across the communication network to a destination device and a processor arranged to configure at least one component of the communication network components based on a time sensitive communication schedule of a flow which passes through the at least one component, wherein the at least one component is configured to act as at least one waypoint to provide the time sensitive interconnection communication such that the at least one waypoint communicates with at least one of other waypoints in a neighbor communication network to connect the time sensitive communication schedule with another time sensitive communication schedule of another flow passing through a plurality of other communication network components in the neighbor communication network.

The application discloses a kind of information physical fusion method and system of mechanical equipment health prediction, wherein the method comprises: collecting the working state data of mechanical equipment;Working state data is input to pre-trained information physical fusion system CPS hybrid model, and the health prediction result of mechanical equipment is obtained, wherein CPS hybrid model is obtained according to the fusion of signal processing physical modeling and deep learning data modeling;The health prediction result is mined, and the real-time state of mechanical equipment is evaluated according to the mining result, and the state evaluation result of machine equipment is obtained.The application aims to use the optimized physical modeling method to extract more rich prior knowledge, and then realize the improvement of hybrid modeling accuracy through the optimized data modeling method, which is beneficial to support predictive maintenance activities, so as to realize the monitoring and control of CPS from physical components to network components to physical components of mechanical equipment in network collaborative manufacturing and intelligent factory.

Systems, methods and devices are provided for subscriber prioritization upon initial attachment. Methods include receiving notification of an initial attach request from a wireless device at a subscriber locator function (SLF) and performing a database lookup at the SLF. Methods further include obtaining a subscriber priority from the database lookup and transmitting the subscriber priority from the SLF to a network component responding to the initial attach request from the wireless device.

A device may determine that a network function of a network has been instantiated to facilitate communication via the network. The device may request a certificate authority to provide a certificate for the network function. The device may receive, from the certificate authority, the certificate. The device may generate a certificate profile to enable other network functions of the network to authenticate communications with the network function, wherein the certificate profile identifies: the certificate and a certification protocol. The device may provide, to the network function, the certificate profile to cause the network function to use the certificate to communicate with the other network functions.

Techniques for wireless signaling are disclosed. In an aspect, a wireless sensing node receives a radio frequency (RF-S) configuration for sensing, performs one or more RF-S programs based on the RF-S configuration, acquires sea condition information based on the one or more RF-S programs, and sends the sea condition information to a network component.

In one implementation, a device may detect a drop in an amount of agents reporting network measurements for a network component; identify, based on network measurements from before and at a time of the drop, a network component set associated with the drop; generate, based on the network component set, a pseudo-measurement to represent absent data associated with the drop; and provide the pseudo-measurement as an input for root cause analysis.

Systems and techniques include identifying a network layer for performing a memory operation, identifying a subset of a plurality of configuration bit clusters of a non-volatile distributed memory that are mapped to the identified network layer using a cluster mapping, in response to identifying the subset of the plurality of configuration bit clusters, activating the subset of the plurality of configuration bit clusters, loading network component data from the subset of the plurality of configuration bit clusters into a local buffer, and applying the network component data to the network layer for performing the memory operation.

Disclosed are techniques for wireless communication. In an aspect, a wireless node establishes sidelink connections with a set of UEs. The wireless node transmits, to a network component, a request for sidelink resources for a sidelink position estimation procedure associated with the set of UEs. The network component determines an available sidelink resource pool for the sidelink position estimation procedure in response to the request. The network component transmits, to the wireless node in response to the request, an indication of the available sidelink resource pool for the sidelink position estimation procedure. The wireless node transmits, to each UE in the set of UEs, a sidelink resource configuration that is based on the available sidelink resource pool for the sidelink position estimation procedure.

Systems, computer program products, and methods are described herein for automatic adjustment of network device configurations. The present disclosure is configured to receive a network device comprising a set of adjustable settings configured to adapt to a network assembly, wherein the network assembly comprises a plurality of network devices, wherein the set of adjustable settings within the network device can be adjusted to the network assembly and components within the network assembly; designate a function of the network device with respect to the network assembly; match the function of the network device with a model configuration plan associated with the network assembly via a machine learning model (MLM); configure the set of adjustable settings within the network device using the model configuration plan via the MLM to operably connect with the plurality of network devices within the network assembly.

Systems and methods for network communication degradation are disclosed. The system includes one or more processors configured to monitor network traffic associated with one or more devices to identify communication patterns. Upon detecting a predefined communication pattern in the monitored network traffic, the system generates a blocking event configured to degrade the network traffic associated with a specific application or service. The system implements the blocking event by instructing one or more network components to degrade the network traffic related to the specific application or service. This degradation reduces communication quality over a predefined temporal period.

An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to obtain a first power value associated with a local power source configured to provide power to a network component in a communication site. Further, the processor is configured to obtain a second power value associated with the network component and determine a power loss value associated with one or more connection interfaces based on the first power value and the second power value. The processor is configured to determine whether the power loss value is within a predefined value range, generate one or more possible modifications to one or more of the configuration commands in response to determining that the power loss value is within the predefined value range, generate a report comprising the power loss value and the one or more possible modifications, and associate the report with the communication site.

A method, carried out by a mobile network operator (MNO) core component, is described for supporting connection signaling between a user equipment and core network components of a mobile virtual network operator (MVNO). The method includes receiving an update location answer (ULA) message that specifies a leased IMSI value of the user equipment. The MNO core component determines that the leased IMSI value of the user equipment falls within a range of the IMSI block allocated to the MVNO. The MNO core component generates a modified ULA including a changed access point name (APN). The modified ULA is forwarded to a mobility management entity (MME) component that uses the modified ULA to generate a create session request (CSR) message, and the changed APN of the modified ULA causes the MME component to send the CSR message to a GPRS tunneling protocol (GTP) proxy of the primary MNO.

Disclosed are a network interface card device, a network data transmission method, apparatus, and system, a device, and a medium, which are applied to the field of Internet technologies. The network interface card device includes a programmable device, which constructs a network platform based on a memory expansion method, and the network platform includes a network interface, a target memory, and a network component. The programmable device is connected to a network through the network interface, and exchanges data with a host by the memory expansion method. The host, based on the memory expansion method, configures the target memory of the programmable device as an extended memory of the host, for storing received target network data belonging to a network interface card processed packet type, or to-be-sent network data of the host.