603 results about "Signal correlation" patented technology

Embodiments of the described technologies determine input signals, where the input signals are specific to a user of the user network. The input signals are input to a set of artificial intelligence (AI) models. In response to the input signals, the first set of AI models output a first set of AI-derived signals relating to the input signals. At least one prompt template is applied to the first set of AI-derived signals to create at least one prompt. The at least one prompt is input to at least one generative AI model. In response to the at least one prompt, the at least one generative AI model outputs at least one thought starter machine-generated by the at least one generative AI model. The at least one thought starter includes digital content configured to be distributed via the user network.

Methods and apparatuses for user equipment (UE) initiated early sounding reference signal (SRS) triggering. A method of operating a UE includes receiving a configuration related to a SRS. The configuration indicates a list of downlink (DL) signals associated with one or more cells, SRS resources, and an association between the DL signals and the SRS resources The method further includes measuring and determining a DL signal from the DL signals and determining, from the SRS resources, an SRS resource associated with the DL signal. The method further includes transmitting an uplink (UL) signal associated with the determined SRS resource and transmitting the SRS resource based on the UL signal.

The invention belongs to the technical field of compressor maintenance, and discloses a compressor predictive maintenance system and method based on multi-source data fusion, and the method comprises the steps: carrying out the heterogeneous data time-frequency feature analysis of compressor signal data, and generating a multi-dimensional feature spectrum; carrying out load-dependent fault signal separation to generate load decoupling fault feature data; performing environment interference factor elimination analysis to generate a pure fault feature matrix; performing cross-domain signal correlation mapping to generate a multi-source data fusion mode map; constructing a fault feature propagation link, and generating fault evolution path data; carrying out degradation trend prediction under a variable load condition, and generating fault development situation data; constructing a dynamic threshold self-adaptive early warning model, and generating fault early warning critical value data; health state comprehensive evaluation is carried out, a compressor state report is generated, and predictive maintenance implementation is executed; according to the invention, accurate recognition and prediction of the compressor fault are realized, and the equipment reliability and maintenance efficiency are improved.

The invention provides a TLF-GV signal correlation earthquake magnitude prediction method and system, and a medium, belongs to the technical field of earthquake prediction, and aims at solving the problems that a traditional magnitude prediction model lacks physical constraints, TLF-GV features are not fully utilized, the interpretability is poor, and cooperation with a preorder technology is lacked. Comprising the following steps: extracting a multi-source feature vector of a TLF-GV signal containing a gravity component absolute amplitude, a vibration component relative amplitude and a signal phase; based on the G-R law, constructing the positive correlation physical characteristics log10 (GVCIpeak) and BF * Tanomal of the abnormal intensity and the magnitude of the TLF-GV signal; weighting the features according to a Bayesian factor BF value; fitting according to historical samples to obtain a physical empirical formula of positive correlation of GVCI peak logarithm and magnitude as a physical constraint, and constructing a loss function by taking the physical constraint as a regularization item and combining with a mean square error of a magnitude prediction task; and constructing an XGBoost model, and training according to the training set to obtain a prediction model for earthquake magnitude prediction. According to the method, quantitative prediction of earthquake magnitude is realized based on multi-source features of TLF-GV signals in combination with a physically constrained XGBoost regression model.

Methods, systems, and devices for wireless communications are described. A remote unit (RU) may transmit, to a distributed unit (DU), an indication of a skew time parameter associated with providing compensated samples for a plurality of symbols associated with a slot. The RU may store a set of samples associated with a first subset of the plurality of symbols associated with the slot, the storing based on a processing delay associated with receiving demodulation reference signals during a portion of the first subset of the plurality of symbols associated with the slot. The RU may transmit, to the DU, a burst of compensated samples for the plurality of symbols in a transmission window that is offset in time from a beginning symbol of the slot according to the skew time parameter.

Systems, methods, and storage media for manifesting a virtual object in a virtual environment are disclosed. Exemplary embodiments may: receive, at a first physical object detector, a first signal, from a first physical object-associated element in a first physical environment; identify, at a first value identification module, based on the first signal, a first value associated with the first signal; identify, at a first virtual object identification module, based on the first value, a first virtual object; and manifest, at a first virtual environment output device, a first manifestation of the first virtual object in a first manifestation of the first virtual environment.

An electronic device is provided. The electronic device includes a plurality of antennas configured to transmit and / or receive an RF signal related to non-terrestrial network communication, memory, comprising one or more storage media, storing instructions and a plurality of tune codes, and at least one processor communicatively coupled to the plurality of antennas and the memory, wherein the instructions, when executed by the at least one processor individually or collectively, cause the electronic device to set an operation mode of at least one antenna among the plurality of antennas to be a reception mode based on of a first tune code among the plurality of tune codes, receive, through the plurality of antennas, an RF signal associated with the non-terrestrial network communication in the reception mode, identify a first parameter associated with the received RF signal, identify whether the value of the first parameter exceeds a first value, and based on identifying that the value of the first parameter exceeds the first value, change the operation mode of the at least one antenna to a transmission mode based on a second tune code different from the first tune code among the plurality of tune codes.

Various aspects of the present disclosure relate to performing radio sensing operations using a reconfigurable intelligent surface (RIS). For example, a sensing controller device, which can be part of a network device (e.g., a network entity or UE) sends encoding information associated with sensing signals transmitted to a target area by a transmitting node. A controller associated with the RIS (e.g., a RIS controller) receives the encoding information and modifies or adjusts reflection characteristics for waves or signals incident on the RIS and reflected by the RIS to one or more sensing nodes. Thus, the RIS controller receives the encoding information for waves or signals that reflect off objects within the target area to the RIS, and utilizes the encoding information (e.g., incident angle or time information) to adjust the reflection characteristics and provide the information to the sensing node, which performs measurements based on the sensing signals.

Systems, methods, and instrumentalities are described for handling positioning reference signals in a wireless communication system. The positioning reference signals may be assigned priorities that may be used to facilitate various operations of a wireless transmit / receive unit (WTRU) such as positioning related services, collision avoidance, measurement and reporting, etc. The WTRU may be configured with multiple muting patterns associated with the positioning reference signals and may switch between different muting patterns based on the priorities of the positioning reference signals and / or other downlink (DL) or uplink (UL) transmissions that may overlap or collide with the positioning reference signals.

The invention belongs to the technical field of simulation, and particularly relates to a simulation result display method and device, a storage medium and equipment, and the display method comprises the steps: obtaining a global program counting address and instruction information according to a firmware logic file, and constructing a reference address mapping table based on the global program counting address and the instruction information; wherein the firmware logic file is a file for storing firmware execution logic related information; obtaining a firmware program counting address according to the firmware signal file; wherein the global program counting address comprises the firmware program counting address, and the firmware signal file is a file for storing response signal related information generated when the firmware executes the instruction information; in the execution process of playing back the instruction information, displaying the firmware program counting address based on the firmware program counting address and the reference address mapping table; according to the method, the debugging efficiency between the software and the firmware is improved.

A method, system and apparatus are disclosed. A wireless device is provided. Wireless device is configured to perform measurements on at least one first reference signal resource and at least one second reference signal of a plurality of reference signal resources indicated by a reference signal configuration, the measurements being performed based on a measurement report configuration associated with the plurality of reference signal resources. The wireless device is configured to store the measurements for at least one of training and monitoring a machine learning, ML, model configured to predict at least one of at least one best beam and at least one K-best beam associated with at least one downlink, DL, reference signal transmitted by the network node.

A method and an apparatus for measurements reporting based on interference information in a wireless communication system is provided. The method comprises: deriving measurement results for a certain measurement object related to a certain measurement ID; and based on (i) comparison between a number of triggering elements based on the measurement results and the threshold number and (ii) interference of a specific cell or a specific reference signal included in the certain measurement object being equal to or greater than the strong interference threshold based on the measurement results, transmitting a measurement report including (i) information related to the triggering elements and / or (ii) information related to the specific cell or the specific reference signal.

A terminal is disclosed that includes a receiver that receives beamforming information relating to one or more beamformed Channel State Information—Reference Signals (CSI-RSs), the CSI-RSs corresponding to one or more Spatial Domains (SDs) or Frequency Domains (FDs). The terminal also includes a processor that determines a type of the one or more CSI-RSs, and when the type of the one or more CSI-RS is a Type II, performs a Type II port selection codebook with a beamformed CSI-RS of the one or more CSI-RSs in the SD and FD domains.

The invention relates to the technical field of kiln combustion control, and discloses a dynamic tar blending combustion proportion optimization control method and system. Comprising the following steps: collecting kiln system data to obtain a standardized working condition data set; inputting the multi-layer perceptron model to obtain a combustion stability score; when the score is lower than a stable threshold value, triggering risk assessment: extracting kiln load micro fluctuation characteristics from the data set, classifying shutdown risk levels by using a support vector machine algorithm model, and determining a high-risk early warning signal; based on the signal correlation current working condition, a historical optimal blending combustion proportion in a corresponding historical adjustment record is called, a deviation value is calculated in combination with the current blending combustion proportion, and a preliminary proportion adjustment suggestion value is obtained; and iterative correction is started, real-time fuel characteristic change and a combustion state prediction result are fused for step-by-step adjustment, a correction proportion is input into a multi-layer sensor to calculate a stability score, and an optimization control scheme is output after the stability score reaches the standard. According to the method, the tar blending combustion proportion is dynamically optimized, the combustion stability of the kiln is effectively improved, and the shutdown risk is reduced.

A wireless device receives one or more radio resource control (RRC) messages indicating an uplink configured grant configuration for a random access channel (RACH)-less layer-1 / layer-2 triggered mobility (LTM) cell switch. The uplink configured grant configuration associates synchronization signal blocks (SSBs) to physical uplink shared channel (PUSCH) occasions. The wireless device triggers a conditional LTM cell switch to a candidate cell based on a reference signal, of the candidate cell, fulfilling a condition. The wireless device transmits, on the candidate cell and via a PUSCH occasion of the PUSCH occasions, a PUSCH transmission. The PUSCH occasion is associated with an SSB that is the same as, or associated with, the reference signal.

Apparatuses, methods, and systems are disclosed for a configuration based on a reference signal received power measurement. One method includes receiving, a first configuration including a number of repetitions for a random access response (RAR) physical downlink control channel (PDCCH) and quasi-co-location (QCL) assumption associated with a demodulation reference signal (DMRS) of each repetition of the number of repetitions for the RAR PDCCH. The method includes performing reference signal received power (RSRP) measurements on the DMRS associated with each repetition of the number of repetitions for the RAR PDCCH. The method includes transmitting a message 3 to the network. The message 3 includes a RSRP measurement for at least one of the DMRS associated with each repetition of the number of repetitions for the RAR PDCCH and the corresponding QCL assumption.

Systems and methods are provided for improved TCP congestion control designed to address “mixed coarse-grained-fine-grained signal” scenarios. A TCP sender of the present technology achieves this improvement by leveraging two TCP congestion windows for a TCP connection: (1) a “fine-grained TCP signal-dependent congestion window” which is adjusted in response to “fine-grained” TCP congestion signals (as intelligently classified / defined by the present technology); and (2) a “coarse-grained TCP signal-dependent congestion window” which is adjusted in response to “coarse-grained” TCP congestion signals (as intelligently classified / defined by the present technology). With these two novel / unique congestion windows at disposal, the TCP sender can then dynamically (and intelligently) select an appropriate congestion window for dictating packet transmission for a TCP connection (e.g., the contemporaneously smaller congestion window). The TCP sender can also dynamically (and intelligently) synchronize the two congestion windows in order to ensure smoother transitions between utilized congestion windows.

An assembly and method are disclosed for generating and detecting a modulated pressure signature in a fluid transported to a subsurface injection zone. The assembly includes a pump, a pulsation dampener, and a pressure modulation device that oscillates pressure to produce a frequency-modulated signature in the fluid, resulting in an alternating current streaming potential (AC-SP) at the injection zone. The method includes recording modulated electromagnetic signals at an array of electromagnetic field receivers on a surface above the subsurface injection zone, processing the data to identify source frequency signals, and correlating these signals to image subsurface fluid or pressure distribution, enabling three-dimensional mapping of subsurface structures.

A wireless device receives one or more configuration parameters indicating one or more time durations for performance monitoring of a prediction model. Each of the one or more time durations is associated with respective downlink reference signals (RSs) for the performance monitoring. The wireless device determines whether to use, for the performance monitoring, a plurality of first downlink RSs associated with a first time duration of the one or more time durations, wherein determining is based on a quantity of one or more first downlink RSs, among the plurality of first downlink RSs, that overlap, in the first time duration, with: one or more downlink or uplink transmissions; or one or more cell inactive time periods of downlink transmissions. The wireless device transmits, based on determining whether to use the plurality of first downlink RSs, a report of the performance monitoring.

Some systems include an acoustic sensor array configured to receive acoustic signals, an electromagnetic imaging tool configured to receive electromagnetic radiation, a user interface, a display, and a processor. The processor can receive electromagnetic data from the electromagnetic imaging tool and acoustic data from the acoustic sensor array. The processor can generate acoustic image data of the scene based on the received acoustic data, generate a display image comprising combined acoustic image data and electromagnetic image data, and present the display image on the display. The processor can receive an annotation input from the user interface and update the display image based on the received annotation input. The processor can be configured to determine one or more acoustic parameters associated with the received acoustic signal and determine a criticality associated with the acoustic signal. A user can annotated the display image with determined criticality information or other determined information.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure discloses a method and a device in a wireless communication system. This document provides a method performed by a first user terminal UE in a wireless communication system, comprising: acquiring by the first UE a configuration related to a Sidelink Positioning Reference Signal (SL PRS); and transmitting by the first UE the SL PRS and Sidelink Control Information (SCI) associated with the SL PRS to a second UE based on the configuration related to the SL PRS; wherein a resource used to transmit the SL PRS is determined based on the configuration related to the SL PRS, and / or a resource correspondence between SL PRS resources and PSCCH, and a determined PSCCH resource; and / or wherein a PSCCH resource used to transmit the SCI is determined based on a related configuration of a PSCCH associated with the SL PRS, and / or the resource correspondence between the SL PRS and the PSCCH, and a determined resource used to transmit the SL PRS.

A terminal for performing an initial cell access, according to an embodiment of the present disclosure, receives a PBCH signal of a first cell via a cell search, receives SIB1-scheduling information on a CSS set related to the PBCH signal, and determines whether to perform a remaining access procedure on the first cell, on the basis of the SIB1-scheduling information, wherein the terminal is a second type terminal in which the capability is reduced to support a bandwidth narrower than that of a first type terminal, and the terminal may determine, as the second type terminal, whether an access to the first cell is allowed, on the basis of the state of a bit reserved so as not to be used by the first type terminal within the SIB1-scheduling information.

Embodiments of the present disclosure relate to a beamforming solution for FDD MIMO communication. A first device receives a reference signal from a second device in a first channel, and determines a covariance matrix associated with the first channel. The first device determines a set of beamforming vectors from the covariance matrix based on the number of dominant angles of arrival associated with the reference signal and the number of beams associated with the set of beamforming vectors, and performs a transmission to the second device based on the set of beamforming vectors in a second channel. In this way, beamforming vectors can be calculated from the transformed channel covariance matrix with the angular spread and imperfect reciprocity considered.

A first wireless device transmits to a base station: a first scheduling request (SR), via a first physical uplink control channel (PUCCH) resource associated with a sidelink SR identifier (ID), based on a buffer status reporting triggered based on a sidelink logical channel; a second SR, via a second PUCCH resource, associated with a sidelink channel state information (CSI) SR ID, based on triggering a sidelink CSI report; and a third SR, via a third PUCCH resource associated with a sidelink reference signal (RS) SR ID, based on triggering at least one aperiodic SL RS.

The invention relates to the field of financial risk protection, in particular to a financial risk protection method and system based on data mining, and the method comprises the following steps: collecting enterprise multi-dimensional financial logs, carrying out the deep mining of transaction behaviors, and constructing an enterprise financial behavior map; performing multi-signal correlation degree calculation and liability structure change perception based on the enterprise financial behavior map, and marking potential fund chain vulnerabilities; upstream and downstream supply chain information of an enterprise is identified, supply chain ecological topology network analysis and risk effect calculation are carried out, and a key risk critical link is identified; carrying out multi-scene financial risk simulation on the potential fund chain vulnerability points and the critical links of the key risks, and constructing a financial risk simulation sand table; and carrying out impact bearing capability evaluation based on the financial risk simulation sand table. According to the method, the potential financial risk of the enterprise is accurately identified in advance, a protection decision is made in a targeted manner, the risk protection capability of the enterprise is improved, and enterprise assets are effectively protected.

A method and apparatus for estimating signal related delays in a PLD design is disclosed. The PLD design is modeled in relation to one or more stages, each of the stages including a driver and one or more receivers coupled to the driver with a wiring tree. The modeling is based on a selected set of parameters that include: slope related delays associated with the driver; a delay related to a layout of the wiring tree; and a parameter related to a slope transfer from a previous driver input. A predetermined set of values for each of the selected parameters are accessed; the estimated signal related delays are computed for each of the modeled stages; and are written to a computer-readable storage medium.

This application provides a downlink reference signal sending method and apparatus, a terminal, and a network side device. The downlink reference signal sending method includes: the terminal obtains first parameter configuration information associated with a first signal, and when a first condition is met, the terminal sends the first signal to the network side device in a target cell based on the first parameter configuration information. The terminal has camped on or has accessed a first cell of the network side device. The first signal is used to trigger sending of a downlink reference signal of a second cell group of the networking side device. The second cell group includes at least one cell.

The invention discloses a building structure health monitoring method and system based on multi-source data fusion, and the method comprises the steps: obtaining multi-source physical parameters related to a building structure, and carrying out the preprocessing; and carrying out online quality evaluation by using a conditional variation auto-encoder model trained based on health reference data, and calculating the dynamic reliability weight of each sensor according to an error. And constructing a sensor space diagram fusing physical proximity and signal correlation, performing deep feature learning by using a space-time diagram attention network, and outputting a global feature vector and a key node feature vector representing the overall health state of the structure. And constructing a reliability weighting-dynamic Bayesian network model, and outputting the structural health state confidence evolved along with time. And outputting a deterministic health state recognition result and a corresponding confidence coefficient by adopting a dual-threshold decision-making mechanism in combination with state transition verification and persistence analysis. The damage position, the damage degree and uncertainty quantification are output, and the robustness of building structure health monitoring is improved.

Methods and apparatuses for signaling for user equipment (UE) reporting of channel measurements. A method of operating a UE includes receiving a configuration related to a channel state information reference signal (CSI-RS) and a first measurement report and measuring the CSI-RS across N sub-bands, where N is a positive integer. The method further includes identifying one or more layers for communication and determining the first measurement report. The first measurement report includes at least one entry. An entry in the at least one entry includes a layer index corresponding to a first reference signal received power (RSRP), a first set of sub-bands corresponding to the first RSRP, and the first RSRP. The method further includes transmitting the first measurement report.

A method according to one embodiment of the present specification comprises the steps of: receiving configuration information including information related to at least one downlink-reference signal (DL RS); receiving the at least one DL RS; and transmitting information related to a terminal preference (UE preference) determined on the basis of a measurement of the at least one DL RS. The at least one DL RS is based on a plurality of DL RSs related to i) a first set of beams and / or ii) a second set of beams related to the first set. The information related to the UE preference is related to i) a configuration of the second set and / or ii) an attribute related to the second set of beams.