767 results about "Multi input" patented technology

The invention relates to the technical field of power system stability control, in particular to a broadband oscillation suppression method and system for an offshore wind power flexible direct current grid-connected system and a medium, and the method comprises the steps: sequentially injecting positive and negative sequence perturbation sine harmonic signals at a grid-connected point of a wind turbine generator, constructing a multi-input multi-output impedance matrix, reducing the order of the multi-input and multi-output impedance matrix into single-input and single-output equivalent positive sequence impedance; the stability margin of the offshore wind power flexible direct current grid-connected system is obtained based on equivalent positive sequence impedance quantification; when the stability margin is lower than a preset margin threshold value, reconstructing the fan grid-side converter into a matrix control structure by cascading a weighting coefficient matrix between the inner and outer ring control loops of the fan grid-side converter; and iteratively optimizing the matrix type control structure based on impedance sensitivity, and synchronously connecting a low-pass filter in series in a voltage and current feedback channel to carry out impedance remodeling so as to finish broadband oscillation risk suppression. According to the invention, broadband oscillation suppression of the offshore wind power flexible direct current grid-connected system is realized through impedance modeling and a matrix type control strategy.

The invention discloses an air federated learning realization method for collaborative optimization of client scheduling and model compression. The invention realizes the air federated learning realization method for collaborative optimization of client scheduling and model compression. Along with rapid development of federated learning in a wireless network, air computing based on a multiple-input-multiple-output technology is widely concerned due to high communication efficiency of the air computing. However, in a resource-limited large-scale device scene, channel interference, device heterogeneity and limited spectrum resources significantly restrict the convergence rate and model performance of federated learning. In order to deal with the challenges, the invention provides an air federated learning framework combining compressed sensing and client scheduling, and by collaborative design of model parameter compression, multi-antenna beam forming and dynamic equipment selection strategies, the total communication overhead of each round of training is minimized, and meanwhile, the convergence of a global model is guaranteed. In order to balance training cost and model quality, a joint optimization problem based on calculation-communication cost and model precision loss is provided. In order to solve the non-convex optimization problem, an original problem is decoupled into two sub-problems. Firstly, an optimization problem of a pre-coding and post-processing matrix is designed for a given user scheduling result to minimize a gradient aggregation error. Then, a novel user scheduling algorithm based on channels and data is provided to obtain an air aggregation result.

A multiple input converter for outputting power from AC power or a battery to positive and negative direct current (DC) buses is provided. The multiple input converter includes at least one bridge arm unit and a bidirectional DC-DC conversion unit. The bridge arm unit corresponds to one phase of the alternating current (AC) power and includes an upper and lower bridge arms that can independently form a two-level converter. In a battery mode, the upper and lower bridge arms discharge power from the rechargeable battery to the positive and negative DC buses, and the bidirectional DC-DC conversion unit discharges power from the rechargeable battery to the positive and negative DC buses or balances voltages of the positive and negative DC buses. In a mains mode, the bridge arm units are connected to the AC power. The bidirectional DC-DC conversion unit determine whether to charge or discharge according to load conditions.

The noise-shaping successive-approximation-register analog-to-digital converter includes a capacitive digital-to-analog-converter, a loop filter including a plurality of integration capacitors, and a multi-input comparator. During an integration phase, the capacitive digital-to-analog converter couples to the plurality of integration capacitors to develop an integration voltage. The integration capacitors are then arranged to passively apply a first gain to the integration voltage. The multi-input comparator also provides a second gain to the integration voltage.

A method for generating a résumé may receive at least an experience parameter and a job title parameter. Related job titles in a historical résumé dataset may be selected that are semantically related to the job title parameter by using a semantically similar job title selector. The historical résumé dataset may be filtered based on at least the experience parameter and the related job titles to obtain a filtered résumé dataset. A list of user skills may be obtained by selecting skills from the filtered résumé dataset. A list of curated skills may be obtained by selecting curated skills from a curated skills dataset based on at least the experience parameter and the one or more related job titles. A list of candidate skills may be obtained by mapping skills from the list of user skills to corresponding curated skills. Selected candidate skills may be incorporated into a résumé.

The invention discloses a seismic first arrival wave pickup method and device based on a multi-input attention mechanism network, multi-domain data and multiple network advantages are fused to realize first arrival automatic pickup, and compared with manual pickup, the efficiency is greatly improved, and the result is more objective; compared with a traditional automatic pickup method, the method is higher in precision and stability under different signal-to-noise ratios. Meanwhile, through hyper-parameter optimization, the generalization ability is high, reliable data can be provided for subsequent seismic processing, the advantages are outstanding under complex geological conditions, and the method is of great significance to geological analysis and resource exploration.

The invention discloses a composite joint control method based on a frequency conversion air source heat pump system, and relates to the technical field of air source heat pump systems, and the method comprises the steps: building an HPF control framework, building a multi-input and single-output control model through machine learning, and coupling a PID feedback signal to generate a composite control basic signal; building load single-step forward prediction is carried out by adopting an LSTM neural network, and a building load prediction value is output through training and calculation of the neural network; the heat pump compressor is subjected to staged joint control; forward control is carried out on the load side circulating water pump; a differential switching mechanism is arranged, and water supply temperature deviation is monitored in real time. According to the variable-frequency air source heat pump composite joint control strategy, an HPF control framework, a compressor staged joint control and differential switching mechanism, load side water pump forward control and equipment cooperative linkage are integrated, model dynamic updating and switching parameter optimization are introduced, and the limitation of a traditional single control mode is broken through.

The invention discloses an optimal beam forming design method under semantic communication service quality constraint, and belongs to the technical field of wireless communication. An optimal beam forming design method is provided for a multi-input single-output digital semantic communication system; an end-to-end semantic performance and compression ratio model is utilized to establish a relational expression of end-to-end semantic performance and a signal-to-noise ratio, and an optimal beam is constructed with the purposes of meeting semantic communication service quality and minimizing transmitting power; dual constraints of transmission time delay and semantic communication service quality are met, and meanwhile, an optimal beam is constructed by minimizing a semantic energy consumption target; through a Dinkelbach method and a matched filtering strategy, the optimal wave beam meeting the requirements of transmission delay and semantic communication service quality at the same time is designed under the target of minimum semantic energy consumption, and the robustness and the resource utilization rate of a semantic communication system under the conditions of high bandwidth, high reliability and limited resources can be remarkably improved.

Certain aspects of the present disclosure provide techniques for wireless communication by a user equipment (UE). For example, the UE may transmit, to a plurality of transmission and reception points (TRPs), a layer parameter based on a maximum number of multiple input multiple output (MIMO) uplink layers that are supported by the UE for uplink communication to the plurality of TRPs. The UE may receive, from at least one TRP of the plurality of TRPs, uplink scheduling information responsive to transmitting the layer parameter. The UE may further transmit, to each of the plurality of TRPs, a physical uplink shared channel (PUSCH) communication according to the uplink scheduling information.

The invention discloses a reconfigurable intelligent surface (RIS)-assisted multiple-input-multiple-output (MIMO) implicit channel estimation method based on a graph attention network, which is used for efficient downlink transmission in a multi-user scene. Firstly, a graph attention network is designed, user nodes and RIS nodes are modeled in a unified mode, received pilot signals serve as initial features, spatial feature expression is enhanced in combination with user three-dimensional position information, and therefore interference between users and a spatial correlation structure are accurately represented; secondly, end-to-end feature aggregation is achieved based on a message passing mechanism, a base station beam forming matrix and an RIS reflection coefficient are directly predicted under the condition that explicit channel estimation is not needed, and the total transmitting power constraint and the unit mode constraint are met through normalization processing so as to complete joint optimization; according to the method, the users and the speed of the system can be remarkably improved under limited pilot frequency overhead, and the method has excellent generalization performance and robustness in a multi-user complex propagation environment.

Various aspects of the present disclosure relate to orthogonal time domain reference signal transmission. A user equipment (UE) may receive signaling configuring a set of parameters corresponding to one or more orthogonal time domain reference signals (e.g., unique words (UWs) in a time domain). The UE supports multiple input multiple output (MIMO) transmission and reception using an orthogonal frequency division multiplexing (OFDM) waveform. The UE transmits or receives symbols in a time domain including the one or more orthogonal time domain reference signals based on the set of parameters and the OFDM waveform.

Some embodiments are directed towards a multiple-input multiple-output (MIMO) receiver system for use with N antennas. The receiver system includes: an analog combiner assembly comprising a matrix of vector modulators applying gain and phase shift to each of N signals being received from the respective antenna and combine said N signals into P corresponding signals, P<N; an array of ADC units, each performing quantization of a respective one of said P corresponding signals with a predetermined bit constrain; and a signal recovery system. The signal recovery system can include a digital signal processor performing task-specific recovery of selected K signals, arriving on the antennas in predetermined input directions, from quantized and filtered digital representation of the N signals being received by the analog combiner assembly; and a control unit. The control unit is adapted to utilize optimized operational data to operate the analog combiner and the digital signal processor.

A system and method for enabling downlink signal transmission in a Multiple-Input Multiple-Output (MU-MIMO) system is provided. The method comprises of creating a scheduling information based on MU-MIMO Scheduling of a plurality of User equipments (UES), multiplexing the plurality of UES paired based on the scheduling decisions across time, frequency and code, inputting transport blocks of each UE pushed on to a Downlink shared channel (DLSCH), performing bit processing of each of the CRC encoded UEs, inputting Code-rate (MCS) for data modulation mapping on a post bit processed data, assigning DM-RS ports to the UE based on allocated MCS and number of antenna ports from a scheduling information structure, adding, a Partial Port Occupancy information (P-Poi) for each UE along with the scheduler information structure required for demodulation at UE and enabling optimal channel estimation at UE by adding new DM-RS port combinations using reserved fields in the DCI messaging.

For example, a millimeterWave (mmWave) wireless communication station (STA) may be configured to transmit a preamble of a packet via a plurality of antennas of the mmWave STA over a mmWave wireless communication channel; and to transmit a Multiple-Input-Multiple-Output (MIMO) Training (TRN) field of the packet over the mmWave wireless communication channel, the MIMO TRN field is after the preamble, the MIMO TRN field including a sequence of a plurality of MIMO TRN subfields transmitted via the plurality of antennas of the mmWave STA. For example, a MIMO TRN subfield of the plurality of MIMO TRN subfields may include a plurality of TRN sequences simultaneously transmitted via the plurality of antennas, respectively.

For example, an apparatus may include a baseband controller configured to control a plurality of dual-polarization Radio Heads (RHs) to communicate a Multiple-Input-Multiple-Output (MIMO) transmission, the baseband controller configured to control a first dual-polarization RH of the plurality of dual-polarization RHs to communicate a first spatial stream of the MIMO transmission with a horizontal-polarization via one or more first dual-polarization antenna elements of the first dual-polarization RH, and to control a second dual-polarization RH of the plurality of dual-polarization RHs to communicate a second spatial stream of the MIMO transmission with a vertical-polarization via one or more second dual-polarization antenna elements of the second dual-polarization RH.

The invention relates to a method for designing an ISAC system beam forming precoder based on RSMA assistance under an imperfect channel, and belongs to the technical field of communication perception integration. The method comprises the following steps: establishing an RSMA-assisted multi-user large-scale multiple-input single-output (MU-MISO)-based ISAC system model under ICSI, establishing an optimization problem model of beamforming precoder design and communication sensing resource allocation under the constraint of limited resources, channel uncertainty and satisfaction of communication rate and radar sensing estimation CRB, solving an optimization problem in a joint optimization model, and establishing a beamforming precoder design and communication sensing resource allocation optimization problem model under the constraint of limited resources, channel uncertainty and satisfaction of communication rate and radar sensing estimation CRB. The optimal system utility under the worst condition is obtained, the optimization problem in the joint optimization model is solved, and the optimal system utility under the general condition is obtained. The method has the advantages that the maximum improvement of the system utility under the general condition is realized, the target detection capability is remarkably enhanced while the fair rate of the user is improved, and a new solution is provided for the performance optimization and robustness transmission of the ISAC system.

The subject technology receives a set of inputs from multiple input sources. The subject technology determines a set of input features based on the set of inputs from the multiple input sources. The subject technology performs a time window-based aggregation on the set of input features to generate a set of aggregated features. The subject technology performs feature extraction, using a set of modular components of a modular classifier network, on the set of aggregated features to generate a set of extracted features. The subject technology generates, using a pinch detection head, a probability score indicating the likelihood of an occurrence of a pinch gesture based on the set of extracted features. The subject technology determines, using triggering logic, whether a pinch gesture has occurred based at least in part on the probability score. The subject technology provides a pinch detection output based at least in part on the determining.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit an indication of a capability of the UE to communicate in accordance with a polar multi-layer coding (MLC) multiple input multiple output (MIMO) communication scheme. The UE may receive a configuration for communication in accordance with the polar MLC MIMO communication scheme, wherein the configuration indicates a sub-block size threshold. The UE may communicate a message in accordance with the polar MLC MIMO communication scheme based at least in part on a determination that a sub-block size for the message satisfies the sub-block size threshold.

A method performed by a user equipment (UE) for dynamically allocating data transmission resources in a massive multiple input multiple output (MEMO) system is disclosed. The UE receives from a network node at least one initial channel state information reference signal (CSI-RS) resource set comprising at least an initial number of ports. A sounding reference signal (SRS) is transmitted to the network node. The network node transmits to the UE a dynamically allocated number of CSI-RS ports, or alternatively, a trigger state for a predefined CSI-RS resource set and a beamformed CSI-RS. The UE computes one or more parameters corresponding to channel state information (CSI) from the beamformed CSI-RS. A CSI report comprising the one or more parameters is transmitted to the network node. The UE then receives user data over a data traffic channel using the dynamically allocated number of CSI-RS ports, or alternatively the pre-defined CSI-RS resource set.

The invention relates to the technical field of radars, and provides a frequency diversity array multi-input multi-output radar target detection system. The system comprises a detection statistic construction module, a detection optimization module, a detection threshold determination module and a target judgment module. Wherein the detection statistic construction module is used for constructing a detection statistic; according to the detection statistics, constructing a semi-definite programming optimization model; the detection optimization module is used for constructing a semi-definite programming optimization model according to the detection statistics; the detection optimization module is also used for solving the optimization model to obtain an optimal value of the detection statistics; and the target judgment module is used for comparing the detection statistic optimal value with a detection threshold so as to detect whether a target exists or not, so that the target detection probability and the anti-interference capability of the frequency diversity array multi-input multi-output radar in a complex environment are improved.

The invention provides a multiple-input-multiple-output soft measurement method and device and a medium. The method comprises the steps that historical multi-sampling-rate process variable data and historical multi-quality variable data are acquired; obtaining a plurality of historical task specific features from the historical multi-sampling-rate process variable data; inputting the plurality of historical task specific features to obtain historical cross-task sharing interaction features; training according to the historical cross-task sharing interaction features, the plurality of historical task specific features and historical multi-quality variable data to obtain a trained feature interaction hybrid expert network model; and obtaining a plurality of online prediction results according to the trained feature interaction hybrid expert network model. According to the method, the device and the medium, the problems that information loss, time alignment errors and task negative migration are easily caused when different variable sampling frequencies are inconsistent in an existing multi-input multi-output soft measurement method, an irregular sampling phenomenon exists, and the prediction precision of multiple quality indexes is not high can be solved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station may transmit, and a user equipment (UE) may receive, downlink control information (DCI) scheduling an uplink multiple input multiple output (MIMO) communication. The UE may transmit, and the base station may receive, the uplink MIMO communication using a default sounding reference signal (SRS) resource configuration based at least in part on the UE receiving the DCI prior to a medium access control (MAC) control element (MAC-CE) selecting a subset of uplink transmission configuration indication (TCI) states included in an uplink TCI state pool configured for the UE. Numerous other aspects are provided.

Aspects of the subject disclosure may include, for example, polarization adaptation in panel MIMO antennas to improve isolation between downlink beams so as to reduce or minimize beam interference, which improves antenna performance and / or reduces antenna size requirements. Other embodiments are disclosed.

The invention discloses a face wrinkle detection method and system based on dual-branch feature fusion and a multi-input attention mechanism. The method comprises the following steps: dual-branch feature extraction: extracting local texture features through a ResNet branch, and modeling global context dependence through a Swin Transform branch; the feature fusion module adopts 1 * 1 convolution to align channel dimensions (ResNet branch compression ratio is 4: 1, and Swin branch compression ratio is 1.5: 1) output by double branches, and feature fusion is realized through splicing or adding; a multi-input channel attention mechanism: performing multi-scale convolution on the fusion features to generate three paths of inputs, adding the three paths of inputs, performing compression-excitation operation to generate three groups of independent channel weights, and performing weighted fusion to output enhanced features; and the classification module is used for outputting the fine-grained wrinkle category probability. The system comprises a processor and a memory and is used for implementing the method. According to the method, the wrinkle detection precision is remarkably improved, and the method is superior to a mainstream model in fine-grained classification tasks such as nasolabial folds and crow's feet, and is suitable for the fields of medical beauty evaluation and skin analysis.

A method for determining an uplink multiple input multiple output (MIMO) transmission codeword, includes: determining at least one of a candidate codeword of 4 transmit antenna ports (Tx) for uplink MIMO transmission or a candidate codeword of 2 Tx for uplink MIMO transmission; dividing 8 Tx into K antenna port groups, wherein K is a positive integer less than 8; determining a third codeword from the candidate codeword, and determining a fourth codeword corresponding to the third codeword; and obtaining a first codeword for the antenna partial coherence transmission of 8 Tx L-layer for the uplink MIMO transmission by splicing, based on the antenna port groups and a co-phasing coefficient, the third codeword and the fourth codeword, wherein L is less than or equal to 8.

A system can facilitate broadband cellular communications with user equipment via a group of antennas of the system, wherein the group of antennas comprises multiple-input multiple-output antennas. The system can determine channel state information of user equipment for which broadband cellular communications are enabled via the group of antennas. The system can purpose an antenna element of the group of antennas for energy harvesting based on the channel state information failing to satisfy an information exchange criterion. The system can harvest, via the antenna element, non-contributory interference plus noise signals as electrical energy. The system can direct the electrical energy to a processing circuit involved in an information transmission task.

The utility model discloses a multi-input power supply switching circuit and electronic equipment, and relates to the technical field of electronic circuits, the circuit comprises K power supply circuits, the power supply priorities of the first power supply circuit to the Kth power supply circuit are sequentially decreased, and each power supply circuit comprises a power supply, a switching circuit and a control circuit; in one power supply circuit, a power supply supplies power to an electric load through a switching circuit, and a control circuit is used for controlling on-off of the switching circuit and comprises a first resistor and a second resistor; the control circuit of the Lth power supply circuit is also used for controlling the Lth power supply circuit to supply power when the Lth power supply circuit is in a power supply available state and the Lth power supply circuit meets the highest priority condition. The switching circuits from the (L + 1) th power supply circuit to the Kth power supply circuit are controlled to be in an off state through a voltage signal which is transmitted by a signal input end led out between the first resistor and the second resistor and serves as a control signal.

Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for multiple-input multiple-output (MIMO) communications One aspect provides a method for wireless communication. The method includes receiving a signal using a multiple-input multiple-output (MIMO) receiver, wherein the signal includes at least a first code block (CB) including a first part received via a first layer of the MIMO receiver and a second part received via a second layer of the MIMO receiver, wherein the second part of the first CB is shifted within a spectrum by at least two resource positions with respect to the first part of the first CB; performing interference cancellation for the first CB; and decoding the first CB after performing the interference cancellation.

Systems, methods, apparatuses, and computer program products for enabling efficient cell-free MIMO transmissions. One method may include receiving a downlink reference signal, determining at least one cell-free multiple input multiple output transmission strategy associated with at least one access point based upon at least the downlink reference signal, and transmitting to a network entity at least one of the at least one cell-free multiple input multiple output transmission strategy and enabling information.

The invention relates to the technical field of hydrogen energy storage, in particular to an underground hydrogen storage system, which is characterized in that a hydrogen storage sensing module and a processing module are integrated in the system, a multi-input multi-output monitoring channel is constructed by using array type electrode nodes, and the processing module constructs a dual-drive prediction model through superposition of a physical state space and a neural network to obtain reference hybrid prediction output; generating a virtual sample set by using random sampling to construct a dynamic random tolerance envelope band; and finally, leakage is judged according to the permeability of the envelope band according to the actually measured signal. According to the invention, the problem of high false alarm rate of the system due to the fact that in-pipe nonlinear background triboelectric charge noise covers tiny leakage characteristics under a fluctuating power supply charging working condition is effectively solved; millisecond-level self-adaptive accurate diagnosis of the air tightness of the pipeline in a complex dynamic environment is realized, and the detection capability of weak leakage signals is remarkably improved while electromagnetic interference is filtered out.