50 results about "Signaling network" patented technology

The invention discloses a parallel current sharing precision improvement method and system under multiphase heterogenous input. The method comprises the following steps: constructing a current sharing bus signal network; a PI controller is adopted to output a current-sharing adjustment amount VCS to carry out current-sharing loop control, the output amplitude limiting range of the current-sharing loop is set to be 0-+ VCSMAX, and VCSMAX = 2.5% * rated output voltage VOUTNOM; a digital delay compensation technology is added to ensure synchronization of a current-sharing bus network sampling signal and an output current sampling signal; performing moving average filtering on the current-sharing bus network sampling signal and the output current sampling signal after delay compensation by adopting a short-time domain fixed window filtering parameter; a bias error symmetric amplitude limiting mechanism is introduced, a set bias value delta Ihys is subtracted from the original current sharing error, delta Ierrbias = delta Ierr-delta Ihys is used as an effective adjusting signal, and + / -delta Ihys amplitude limiting is applied to delta Ierrbias; an asymmetric integral coefficient adjustment strategy is implemented, when the VCS needs to be increased, a low-speed adjustment coefficient Kup is adopted, when the VCS needs to be reduced, a rapid adjustment coefficient Kdown is adopted, and Kdown is larger than or equal to 2Kup; the steady-state high current sharing precision and the parallel current sharing capability can be realized.

The invention relates to a wiring method and device of a high-speed bus and computer equipment. The method is applied to an automatic design process of the PCB, and comprises the following steps: determining a wiring layer structure matrix, a via hole matrix and a rule matrix of each signal network of the PCB to be designed; determining wiring layer constraint information based on the wiring layer structure matrix; based on the via hole matrix, determining via hole constraint information; determining dynamic rule information based on the rule matrix; determining a cost function based on the wiring layer constraint information, the via hole constraint information and the dynamic rule information; performing path optimization on the cost function by using an A star algorithm to obtain the optimized cost function of each signal network of the PCB to be designed; and based on the optimized cost function of each signal network of the to-be-designed PCB, automatically designing the to-be-designed PCB. By adopting the method, the automatic design of the high-speed bus of the PCB can be realized.

The embodiment of the invention relates to an environment data monitoring processing method and system, electronic equipment and a storage medium, and belongs to the technical field of electric digital data processing.The method comprises the steps that a target monitoring area is obtained, a corresponding code is generated, adjacent topological graph node areas are connected to form a closed loop link, and the closed loop link is connected with a corresponding code; and sending a supplementary collection instruction to the monitoring sensor, detecting whether sensing information loss exists or not, establishing a corresponding detection path, generating an inspection topology route, and outputting early warning information. According to the embodiment of the invention, the closed-loop link of the environment data monitoring sensing signal network is constructed, the intelligent routing inspection topology route planning and redundancy check functions are provided, the communication cost is reduced through directional color complementation, the routing inspection route is automatically generated, the fault nodes are intelligently repaired, the manual routing inspection cost is reduced, and the routing inspection efficiency is improved. And the reliability, the real-time performance and the operation and maintenance efficiency of a large-scale distributed monitoring network are remarkably improved.

The invention provides a circuit board high-frequency characteristic detection analysis method and system based on a stub test platform, and the method comprises the steps: obtaining an S parameter of a PCB signal network based on a vector network analyzer (VNA), judging whether the signal transmission loss caused by a stub meets a detection requirement or not, and outputting the length of the stub and carrying out the TDR detection when a VNA detection result is unqualified; the size of a reflected signal of the PCB signal network is obtained based on a time domain reflectometer TDR, whether impedance change caused by a stub in a TDR curve is qualified or not is judged, and when a TDR detection result is not qualified, the specific position of the stub is output, and backdrill capacitance characteristic detection is carried out; capacitance characteristic parameters of the abnormal back drilling via hole are obtained based on back drilling capacitance characteristic detection, and the specific form of the stub is determined. The method and the system are specially used for detecting the stubs in the PCB high-density multilayer board, not only have the remarkable advantages of high precision, high speed and high reliability, but also provide solid technical support for accurate evaluation and strict quality control of product performance.

The invention provides a method for jointly deducing dynamic cell communication and a cell state transition rate. Relates to the technical field of biological information. The method comprises the following steps: extracting candidate ligands, candidate receptors and characteristic genes from space transcriptome data to be processed; the method comprises the following steps: screening nodes which have an interaction relationship with candidate ligands, candidate receptors and characteristic genes from a pre-constructed prior database, and constructing a multi-layer signal network of which the structure is ligand-receptor-transcription factor-target genes; establishing a gene regulation kinetic model according to a ligand-receptor action relationship, a receptor-transcription factor action relationship and a transcription factor-target gene action relationship in the multilayer signal network; iteratively optimizing parameters to be estimated in the gene regulation and control kinetic model; and obtaining the change rate of the expression quantity of the target gene in the receiving cell based on the potential time after iterative optimization and the parameters to be estimated after iterative optimization. And combined analysis of dynamic cell communication and cell differentiation tracks can be realized.

Various aspects of the present disclosure relate to PDU set-aware multimedia applications and associated signaling. An NE includes at least one memory and at least one processor configured to cause the NE to encode media of an application into a plurality of application data units (ADUs) as logically independent units of information, group, by an application real-time transport protocol (RTP) sender routine, each ADU into one or more protocol data unit (PDU) sets, determine, for each of the PDU sets, PDU set information, encapsulate the PDU set information for each of the PDUs in the PDU set in an extension header element packetized within an RTP extension header of an RTP PDU corresponding to the RTP PDU payload of each of the one or more PDUs of the PDU set, and transmit the RTP PDUs comprising the PDU set information.

The invention relates to an apparatus (Rx) for increasing an integrity of signals (S) in a signaling network, each signal comprising a sequence of one or more signal elements. The apparatus comprises an identification unit configured to identify any injection (I) of signal elements into a received signal based on at least one of a) a signal element magnitude variation, b) an inversion of a permutation operation applied to the received signal upon transmission, c) a signal fingerprint, d) a location of the transmitter, and e) an AI / ML, Artificial Intelligence / Machine Learning, model. This allows for a reliable identification of injections of signal elements that are due to the capture effect. In particular, not only overshadow attacks, but also undershadow attacks or other injection attacks can be identified. By processing the received signals based on any identified injections of signal elements, the integrity of signals in the network can be increased.

The invention belongs to the technical field of biological medicines, and particularly relates to application of meconopsis extracts to preparation of a medicine for regulating an ATM / ATR-p53-NF-kappa B signal channel. The meconopsis meconopsis extract can regulate and control an ATM / ATR-p53-NF-kappa B signal network through multiple targets to recover the pathway homeostasis, so that the meconopsis meconopsis extract is used for preparing drugs for treating and / or preventing pathway dysfunction related diseases (such as liver injury, inflammatory diseases, cancers and the like), and a new direction is provided for deep development and clinical application of meconopsis meconopsis.

The invention discloses an on-line deep learning micrometeorological data generation method based on space-time embedding, and the method employs an on-line updating and incremental training mode to fuse a WRF model, a PALM model and a deep learning model into a frame, enables a space-time downscale deep learning model to participate in the operation process of WRF and PALM control programs, and achieves the real-time processing of the WRF and PALM control programs. And learning the change characteristics of the required meteorological elements in the downscaling process, and realizing linkage operation and data cooperative processing of the three models. 3DEST is introduced, so that the model can sense the influence of different geographic positions and height differences on meteorological elements, and the space generalization ability of the model under the conditions of different areas and different heights is remarkably improved. By establishing a unified signal network and data transmission mechanism, continuous generation and automatic acceleration of high-resolution micrometeorological data are realized. According to the method, the problem that in an existing downscaling method based on WRF and PALM, data generation and model training are separated, and the model input size is not uniform, so that the downscaling mode is not universal is solved.

The application discloses a power distribution network fault positioning method based on inter-harmonic injection, and relates to the technical field of power system distribution network relay protection. When an asymmetric grounding fault occurs in a power distribution network, signal injection devices arranged on each feeder inject inter-harmonic signals with different harmonic frequencies into the power distribution network at the same time, a multi-source detection signal network with spatial distribution and different frequencies is formed, a significant energy gathering effect is formed at a fault point, the excellent time-frequency analysis capability of S transform on non-stationary signals is utilized, S transform energy of three-phase first ends of each feeder under each inter-harmonic signal is directly extracted for fault positioning. The method enhances fault characteristics through multi-source and multi-frequency inter-harmonic injection, and in combination with the time-frequency resolution and characteristic extraction capability of S transform, the method can realize grounding fault detection in different penetration rate scenes in an active power distribution network, realize fast fault positioning, and improve the protection sensitivity and fault positioning efficiency of the active power distribution network.

The invention relates to a silicon substrate interposer metal wiring overhead calculation method and device. The method comprises the following steps: determining the number of first metal layers required for wiring of a power ground network according to the number of first convex points corresponding to the power ground network of a silicon interposer and the convex point bearing capacity value of a single metal layer; determining the number of second metal layers required by signal network wiring according to the size parameter of the chip to which the silicon interposer belongs and the wiring mode of the signal network of the silicon interposer; and according to the first metal layer number and the second metal layer number, obtaining the total metal layer number required by wiring of the silicon interposer. By adopting the method, the metal layer overhead of the silicon interposer wiring can be accurately calculated.

Aspects of the subject disclosure may include, for example, receiving artificial intelligence (AI) analytics from a generative AI system, and based on the AI analytics, causing a software defined network (SDN) controller to identify a signaling path over a quantum signaling network, thereby enabling selection of a determined suitable path for quantum entanglement distribution. Other embodiments are disclosed.

Presented herein are synthetic protein phosphorylation signaling networks.

The invention discloses an evaluation result determination method and device, a storage medium and electronic equipment, and relates to the technical field of servers, and the method comprises the steps: segmenting a signal network needing to be analyzed from a target design file imported into preset modeling software; establishing a three-dimensional electromagnetic model of the signal network through preset modeling software, and obtaining a parameter document of the signal network output by the preset modeling software based on the three-dimensional electromagnetic model; building a simulation circuit project of the signal network based on the parameter document through active time domain analysis software, so as to obtain an eye diagram evaluation waveform of the signal network through the simulation circuit project; and determining an evaluation result of the signal quality of the signal network through the eye pattern evaluation waveform. According to the method and the device, the problem that in the design of a high-speed server mainboard, link risk estimation can only be carried out on a signal network in a single transmission direction, and the coupling crosstalk influence in the opposite transmission direction cannot be considered is solved.

A method for predicting drug pathways that modulate cellular phenotypes is provided. The method includes obtaining a logic-based differential equation model of a signaling network relating to a cellular phenotype, comprising nodes representing proteins or mRNAs and edges representing interactions. The method further includes identifying candidate compounds affecting the cellular phenotype, determining protein targets using a drug-target database, and mapping pathways from protein targets to network nodes by searching a protein interaction database and computing ranked pathways by minimizing a cost function based on edge weights. The method includes expanding the model by incorporating mapped pathways, simulating expanded model variants to predict compound effects on the cellular phenotype, and outputting predictions of how candidate compounds modulate the cellular phenotype through identified pathways.

The present disclosure relates to low-power wake-up signalling for wireless communications. A network device is configured to generate and send a low-power wake-up signal (LP-WUS) to one or more user devices. The LP-WUS comprises activation and / or deactivation information for activating or deactivating one or more resource allocations. In response to receiving the LP-WUS, a user device in a power-saving mode (or sleeping mode) is configured to wake up, and activate or deactivate one or more resource allocations for communication. The resource allocations may be semi-persistently configured through semi-persistent scheduling (SPS). In this way, the coexistence of LP-WUS monitoring and pre-configured resource allocations (e.g., SPS assignments) are harmonized. The power consumption of the user device can be reduced, and traffic latency can be improved.

The invention relates to a PCB wiring method and device of a power circuit and computer equipment, and the method comprises the steps: obtaining a plurality of basic characteristic parameters of each power signal network in the power circuit; each basic characteristic parameter comprises a network topology parameter and an electrical constraint parameter; generating a corresponding minimum spanning tree based on the network topology parameter of each power supply signal network; based on the electrical constraint parameter of each power supply signal network, determining a dynamic current value of each node in the corresponding minimum spanning tree; and based on the dynamic current value of each node in each minimum spanning tree, performing wiring planning on the connection path between the nodes in each minimum spanning tree to obtain a wiring scheme of the power supply circuit, thereby solving the problem of low wiring quality caused by incapability of realizing global collaborative planning of all power supply networks in the board without considering the actual demand of power supply wiring, and improving the wiring quality of the power supply circuit. All power supply networks in the board are globally and cooperatively planned based on the actual characteristics of power supply wiring, and the wiring quality is remarkably improved.

The application discloses an integrated circuit wiring optimization method and device and electronic equipment. The method comprises the following steps: obtaining a target network corresponding to initial wiring data of an integrated circuit; the target network comprises a signal network and a timing network; a transmission matrix corresponding to the signal network is constructed, and the transmission matrix is converted into corresponding scattering parameters; first simulation analysis parameters are determined based on the scattering parameters, wherein the first simulation analysis parameters comprise insertion loss; a buffer spacing is determined based on the insertion loss; and the initial wiring data is optimized based on the buffer spacing to obtain wiring data. The buffer spacing obtained through simulation analysis can be used to more accurately optimize the wiring data.

The application provides a power bump automatic routing method and system for a 2.5D or interposer structure, which comprises the following steps: reading design data files and connection description information to establish a first mapping relationship between micro-bumps and power networks to which the micro-bumps belong, and to establish a second mapping relationship between the power networks and upper power access terminals; identifying multiple discrete micro-bumps belonging to the same power network based on the first mapping relationship and the second mapping relationship, and grouping the discrete micro-bumps into a unified power network object; performing regional grouping according to the spatial distribution of each micro-bump in the power network object to obtain a local region group; generating a corresponding local access point according to each local region group; generating a connection topology based on the local region group and the corresponding local access point; generating an automatic routing constraint according to the connection topology; performing automatic routing on each power network according to the automatic routing constraint, and performing the automatic routing cooperatively with the automatic routing of a signal network in the same design environment.

Provided in the embodiments of the present disclosure are a communication method and apparatus, and a storage medium and a program product. The communication method comprises: sending first information to a second node, wherein the first information includes first capability information and / or first auxiliary information related to support for a low power-wake up signal; and receiving second information from the second node, wherein the second information is used for indicating a low power-wake up signal network group to which a first node belongs.

Methods, systems, and devices for wireless communications are described. The method may include a user equipment (UE) receiving control information indicating an occupancy grid including a set of cells corresponding to a geographical area. Each cell of the set of cells may correspond to a resource element (RE) of a set of REs. The UE may then receive, from one or more sensors, signaling indicating occupancy information for one or more cells of the set of cells and transmitting signaling via an RE of the set of RE that corresponds to a cell that is occupied. The network entity may monitor the set of REs and generate an aggregated occupancy grid based on an energy level of the REs.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node can transmit, to a core network entity, first signaling that identifies a network slice prediction or a quality of experience prediction. The network node can receive, from the core network entity and in response to the first signaling, second signaling that identifies a network slice configuration associated with the network slice prediction or information regarding the quality of experience prediction. The network node can communicate with a user equipment using one or more network slices in accordance with the network slice configuration or using a configuration related to the quality of experience prediction. Numerous other aspects are described.

The invention relates to a single cell signal road reconstruction method, system and device and a medium. The method comprises the following steps: extracting a sub-network from a global signal reference network based on an intersection of a highly expressed gene and a hypervariable gene of each cell, and generating a cell specific signal network; inputting the cell specificity signal network into a Transform model to generate a consensus signal network; defining the consensus signal network corresponding to the source cell as a source cell consensus network, and defining the consensus signal network corresponding to the target cell as a target cell consensus network; and on the basis of a ligand-receptor knowledge base, searching a path between a ligand in the source cell consensus network and a receptor in the target cell consensus network, and generating a cross-cell signal path list. By adopting the method, the intercellular communication mechanism can be accurately captured, and the systematic understanding of intercellular signals is effectively improved.

The invention discloses a communication method and device, a storage medium and a program product. The method comprises: a first network element sends a first request message to a third network element, the first request message being used for requesting a second network element to provide a service, the first request message comprising an identifier of the first network element and an identifier of the second network element; the third network element sends the first request message to the second network element; the second network element sends a first response message to a third network element, the first response message being used for indicating the first service result, and the first response message comprising an identifier of the first network element and an identifier of the second network element; and the third network element sends the first response message to the first network element. By adopting the scheme, an access network signaling network architecture is constructed, and the third network element is responsible for signaling interaction among the network elements, so that the efficiency and robustness of signaling interaction at the access network side can be improved, and the network efficiency and performance are further improved.

Methods, systems, and devices for wireless communications are described. A network entity may indicate a range of values for a cyclic delay diversity (CDD) parameter associated with a channel to a UE. The UE may select a CDD value from the range of values based on one or more measurements, a configuration, or both, associated with the channel. The network entity may apply a cyclic to the channel according to a CDD value from the range of values, and may transmit, according to the applied cyclic delay, signaling to the UE via the channel. In some cases, the UE may receive the second control signaling according to the CDD value selected by the UE. The network entity may indicate the range of values via one or more techniques, and the range of values may be associated with a set of channel conditions, control resources, or both.

Embodiments of the present disclosure provide a train-ground data communication system, method and storage medium, which are applied to the field of rail transit technology. The system comprises a WLAN system, an LTE system and a ground signal network. The WLAN system comprises a first vehicle-mounted subsystem and a first ground subsystem. The first vehicle-mounted subsystem comprises a first communication controller, a vehicle-mounted WLAN device and a first antenna feeder system. The first ground subsystem comprises a ground WLAN device. The LTE system comprises a second vehicle-mounted subsystem and a second ground subsystem. The second vehicle-mounted subsystem comprises a second communication controller, a TAU device and a second antenna feeder system. The second ground subsystem comprises an LTE access network, an LTE core network, an LTE gateway and a ground signal network gateway. The vehicle-mounted controller is connected with the ground signal network through the WLAN system and the LTE system respectively. The ground signal network is connected with a ground signal device. In this way, the existing WLAN mode and the upgraded LTE mode can be compatible with each other.

In accordance with implementations, a network entity transmits, to a user equipment (UE), first signaling with first information indicating a first set of parameters for a first signal or channel. The network entity transmits, to the UE, or receives, from the UE, a first transmission of the first signal or channel in accordance with the first set of parameters on a first bandwidth resource (BWR) configured for the UE. The first BWR includes first frequency-domain resources. The network entity transmits, to the UE, or receives, from the UE, a second transmission of the first signal or channel in accordance with the first set of parameters on a second BWR configured for the UE. The second BWR includes second frequency-domain resources. The first frequency-domain resources are different from the second frequency-domain resources.

This disclosure provides a hardware fault diagnosis method, apparatus, electronic device, and storage medium, relating to the field of computer technology, particularly knowledge graphs and server maintenance, and applicable to scenarios such as hardware system fault diagnosis. The specific solution is as follows: In response to the detection of a signal interruption command in the target hardware system, the current error event and current operating scenario are determined based on the target hardware system's operating log; based on the current operating scenario, the corresponding connection network subgraph and power subtree are extracted from the hardware graph; based on the current error event, the connection network subgraph and power subtree are traversed, and signal quality assessment results and power supply quality assessment results are determined based on connection design data and electrical design data, respectively; based on the signal quality assessment results and power supply quality assessment results, the fault diagnosis result of the target hardware system is determined. This solution can cover both active and passive devices, and consider both signal networks and power networks, improving diagnostic efficiency and accuracy.

The embodiment of the application relates to an environmental data monitoring processing method and system, electronic equipment and a storage medium, and belongs to the technical field of electric digital data processing. The method steps comprise the following: acquiring a target monitoring area and generating corresponding codes, connecting adjacent topological graph node areas and forming a closed loop link, sending a supplementary sampling instruction to a monitoring sensor and detecting whether there is missing transmission information, establishing a corresponding detection path, generating a patrol topological route and outputting early warning information. The embodiment of the application constructs a closed loop link of an environmental data monitoring sensor signal network, provides intelligent planning of a patrol topological route and a redundancy checking function, reduces the communication cost overhead of directional supplementary sampling, automatically generates a patrol route, realizes intelligent repair of a fault node, reduces the cost of manual patrol, and significantly improves the reliability, real-time performance and operation and maintenance efficiency of a large-scale distributed monitoring network.

The invention discloses an endogenous circadian rhythm disorder quantification method and a related gene cluster detection method, and the method comprises the steps: collecting data, carrying out the normalization processing of the data, calculating the average expression of a gene sample, carrying out the statistics of the occurrence frequency of a circadian rhythm related gene, and distributing a weighted sampling probability. And performing centralization processing on the normalized matrix, calculating a random background score, calculating an observation score, and further calculating a rhythm disorder quantitative index score. According to the related gene cluster detection method, a rhythm disorder quantitative index scoring sample is taken as an input object, and a key gene cluster and a signal network occurring in the conversion process of a system from a steady state to a pathological state are analyzed and identified through a network. Rhythm disorder quantitative index scoring and related gene cluster detection methods cooperate with each other, so that quantitative and mechanical analysis of the circadian rhythm disorder state of the colorectal cancer patient can be realized. Scientific basis and clinical application potential are provided for molecular typing, risk assessment and potential target screening of colorectal cancer.