59 results about "Virtual cell" patented technology

The invention discloses a coal mine intelligent coal face control system based on digital twinning. The system comprises an underground entity unit, a ground virtual unit and an interaction unit connecting the underground entity unit and the ground virtual unit. The physical unit acquires data through the sensing network module and uploads the data through the communication module; the virtual unit builds a three-dimensional dynamic model through a twinborn body building module, virtual and real consistency is guaranteed through a model dynamic correction module, then an optimal control strategy is generated through simulation optimization of a twinborn data analysis and decision-making module, and finally an instruction is issued to an execution mechanism module through a control module to form closed-loop control; according to the method, the digital twinborn body completely corresponding to the physical working face is constructed, simulation operation and verification can be carried out on the whole process of the coal mining technology and equipment linkage logic in a virtual space in advance, and therefore potential action interference and logic conflicts are recognized and eliminated before an actual control instruction is issued, the effect of pre-judgment in advance is achieved, and the real-time performance of the coal mining technology is improved. And the look-ahead decision-making capability of the system is greatly improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network entity can transmit, to a second network entity, a communication indicating information about a reference signal configuration of a virtual cell that the second network entity is configured to support. The first network entity can receive, from the second network entity and based on the communication, the reference signal configuration of the virtual cell, where the reference signal configuration configures a reference signal in a frequency band that is outside of an anchor frequency band of the virtual cell. Numerous other aspects are described.

A computer implemented method for generating a problem specific representation of a process network to enable controlling or monitoring a process network with at least two interconnected chemical plants, the method comprising the steps of providing a first digital representation of the process network comprising a digital process representation of each plant, its connections to other plants and sensor elements placed in the process network, generating based on the first digital representation a graph structure including vertices representing unit operations, edges linking unit operations representing at least physico-chemical quantities, wherein the edges include edge meta data representing at least physico-chemical quantities, and a measurable tag, generating based on the graph structure a collapsed graph structure including, vertices representing virtual unit operations, edges linking virtual unit operations representing at least physico-chemical quantities, wherein the edges include edge meta data representing observable physico chemical quantities, and their relation to vertices, deriving a set of balance equations from the collapsed graph structure, providing the set of balance equations, and physico- chemical quantities for monitoring and / or controlling operation of a process network is proposed.

A memory device includes a memory block including strings, each including first memory cells coupled between a first dummy cell and a second dummy cell and second memory cells coupled between third dummy cell and fourth dummy cell, and a peripheral circuit performing a normal program operation on first and second memory cells, or a soft program operation on first to fourth dummy cells, wherein the peripheral circuit is configured to, perform a soft program operation on the fourth dummy cell which is farthest from an area to which the precharge voltage is applied and perform a normal program operation on second memory cells, wherein the precharge voltage is applied to the area during the normal program operation, and wherein the area is adjacent to the first dummy cells.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a first indication of a reference signal configuration for a virtual cell that includes a set of multiple sub-bands. The reference signal configuration may indicate whether a reference signal associated with a transmission configuration indicator (TCI) state is included in one sub-band of the set of sub-bands or in two or more sub-bands of the set of sub-bands. The UE may receive a second indication of one or more parameters for the TCI state, and the parameters may be applicable to one or more sub-bands of the set of sub-bands. The UE may communicate one or more messages via a first sub-band of the plurality of sub-bands of the virtual cell based on receiving the reference signal and in accordance with the one or more parameters.

The present application relates to the technical field of bioinformatics and artificial intelligence, in particular to a virtual cell construction method and system, the method comprising: taking single cell gene expression matrix and perturbation condition data as input data; constructing an encoding network based on a structural causal model to obtain latent representation, and constructing a perturbation variable according to the perturbation condition data, modeling the latent representation and the perturbation variable to obtain decoupled latent representation; constructing a continuous time evolution path from an initial distribution to a target distribution based on a flow matching model, and determining state changes according to the decoupled latent representation; numerically solving the continuous time evolution path to output virtual cell expression data. The present application is used to solve the problems of causal aliasing, insufficient distribution out-of-distribution generalization ability, unstable generation process and difficulty in counterfactual reasoning in the existing single cell perturbation prediction method.

A method for determining a state of charge (SOC) of a battery may include determining a measured physical battery current flowing through the battery. The method further may include determining an estimated physical battery current using a physical battery cell model. The physical battery cell model is an equivalent circuit model of a first battery cell. The method further may include determining an estimated SOC of the battery based at least in part on the measured physical battery current and the estimated physical battery current using a virtual battery cell model. The virtual battery cell model is an equivalent circuit model of a second battery cell. The second battery cell is a computer-simulated electrochemical battery cell modeled in series with the physical battery cell model. The method further may include determining the SOC of the battery based at least in part on the estimated SOC of the battery.

The invention discloses an FCA-UKF lithium battery pack SOC estimation method comprising the following steps: providing a dynamic weighted voltage characterization method to construct a virtual unit model of a lithium battery pack, and through the virtual unit model, significantly reducing the calculated amount, adapting to battery inconsistency, and ensuring efficient and accurate SOC estimation; selecting an equivalent circuit model, and establishing a system state space equation; on the basis of HPPC working condition test data, model parameters are identified in combination with a least square method with a forgetting factor; and estimating the SOC of the whole battery pack in combination with a virtual unit model. According to the method, a fuzzy covariance adaptive unscented Kalman filter (FCA-UKF) algorithm is provided, the process noise covariance is adaptively adjusted on the basis of the unscented Kalman filter algorithm, the difference value between the actual variance and the theoretical variance of the measured noise is monitored in real time in combination with a fuzzy controller, real-time online adjustment of a measured noise covariance matrix is achieved, and the real-time online adjustment of the measured noise covariance matrix is achieved. The accuracy and stability of state estimation can be improved while the filtering precision is ensured.

Access, mobility management and regulatory services are supported for satellite access to a Fifth Generation (5G) core network. A coverage area, e.g., country, region, multiple countries, and international areas, are divided into fixed virtual cells having well defined geographic boundaries and fixed tracking areas. Information for the virtual cells and / or tracking areas and associated with one or more public land mobile networks (PLMNs) may be provided to a user equipment (UE). The UE may obtain its position, e.g., using a satellite positioning system, and determine the serving virtual cell or tracking area in which it is located. The UE may perform registration with a serving core network in a serving PLMN associated with the serving virtual cell or tracking area. Regulatory services, such as emergency (EM) calls, lawful interception (LI), wireless emergency alerts (WEA) may be provided based on the serving virtual cell or tracking area.

A microwell array chip, a method of using the same and a detection device. The microwell array chip comprises a microwell array substrate, the microwell array substrate comprising a first major surface and a second major surface arranged oppositely, n reaction chambers and a spare area; the n reaction chambers are arranged in the microwell array substrate in an array, and the spare area is arranged around the n reaction chambers; the reaction chambers are configured to accommodate a sample to be tested, and the shape of the orthographic projection of the reaction chambers on a first reference plane in which the first major surface is located is a regular N-polygon; the area of the spare area is divided into n' virtual units, and the shape of the orthographic projection of the virtual units on the first reference plane is the same as the shape of the orthographic projection of the reaction chambers on the first reference plane. The microwell array chip efficiently utilizes the area of the microwell array substrate, thereby increasing the volume of a single reaction chamber, and thus the sensitivity of the microwell array chip can be improved, and the detection limit of the microwell array chip can be reduced.

This invention discloses a virtual unit scheduling method and system based on grouping technology and an improved CS algorithm, belonging to the field of virtual unit scheduling. It includes: receiving the division of workpiece groups, machine groups, and manufacturing units, where all components in the workpiece groups have similar processes, all machines in the machine groups process the same workpiece groups, and the manufacturing units correspond one-to-one with the machine groups; constructing the objective function of virtual unit scheduling as minimizing the maximum completion time of all workpiece processing steps; encoding the workpiece processing sequence, AGV allocation, and machine configuration within the unit on different machines; solving the encoded virtual unit scheduling problem using an improved CS algorithm, which introduces Levy flight with adaptive flight step size and variable neighborhood search with adaptive bird's nest discovery probability; decoding the optimal solution and outputting the virtual unit scheduling result. This invention can effectively solve the virtual unit scheduling problem and obtain a production plan with the shortest completion time as the objective.

The apparatus may be a wireless device configured to receive an indication of a single TB scheduled across a plurality of slots and across one of a plurality of sub-bands within a virtual cell or a plurality of component carriers associated with a carrier aggregation, and receive or transmit the TB via the plurality of slots and one of the plurality of sub-bands or the plurality of component carriers. In certain aspects, the apparatus may be a network device configured to transmit an indication of a TB scheduled across a plurality of slots and across one of a plurality of sub-bands within a virtual cell or a plurality of component carriers associated with a carrier aggregation and to transmit or receive the TB via the plurality of slots and one of the plurality of sub-bands or the plurality of component carriers.

Apparatuses, systems, and techniques to perform a digital simulation of a wireless network. In at least one embodiment, a processor generates a virtual network simulation and combine user equipment of said virtual network simulation into virtual cells in order to cause at least one of two or more mobile device emulation programs to be selected based, at least in part, on two or more distinct physical resource block parameters corresponding to said two or more mobile devices.

Embodiments of this disclosure relate to methods, apparatus, devices, storage media, and program products for storage management. The method includes: in response to triggering the preset condition, determining a plurality of memory pages associated with a virtual unit of the system, the plurality of memory pages indicating a plurality of regions partitioned in the logical address space of the system; in response to determining that at least one memory page among the plurality of memory pages has been released by the virtual unit, determining corresponding marking information for the at least one memory page; and based on the corresponding marking information, performing a zeroing operation on the memory pages among the at least one memory page that have not been zeroed. This can improve the startup speed when starting a virtual machine.

Described are examples for repurposing mobility management with virtual radio in software radio access networks. A virtual mobile network includes a first server configured to host a first mobile network distributed unit (DU) for providing a first virtual cell to a plurality of user devices via a radio unit. The virtual mobile network also includes a second server configured to host a second mobile network distributed unit providing a second virtual cell via the same radio unit. A radio access network (RAN) intelligent controller (RIC) is configured to control the first DU and the second DU to hand over the plurality of user devices from the first virtual cell to the second virtual cell. The first server may then be shut down for maintenance or updates without dropping service to the user devices.

The application discloses a virtual cell analysis platform based on cell disturbance data. The platform comprises three parts: a large language model data preprocessing system, a database and an online analysis platform, and a direction matching algorithm. The large language model data preprocessing system comprises an automatic data information extraction and retrieval tool, an automatic data file download tool, a large language model analysis engine and a gene expression data acquisition and feature extraction tool. The application can automatically preprocess the original data by applying the large language model data preprocessing system to the target scientific problem, and then store the data in the database. The characteristic direction matching algorithm is combined to output the drugs and key targets related to the target data set. The efficiency of target point and drug screening is improved. The application is suitable for large-scale omics data mining and disturbance analysis, accelerates the drug research and development, disease mechanism and translational medicine research process, and reduces the research and development cost.

Various integrated circuit transistor device structures that implement nanosheet fin transistors are disclosed. Layouts for the transistor device structures include active cells with dummy cells positioned between active cells. The active cells and dummy cells may include nanosheet fin regions that have different widths. In certain instances, the transitions between different nanosheet fin regions widths (e.g., jogs in the widths) are positioned inside the dummy cells rather than at interfaces between the dummy cells and the active cells. Placing the jogs in widths inside the dummy cells reduces mechanical stresses between active cells and dummy cells and allows for design changes in the size of active transistors during a manufacturing process.

The application discloses a virtual cell analysis platform based on cell disturbance data. The platform comprises three parts: a large language model data preprocessing system, a database and an online analysis platform, and a direction matching algorithm. The large language model data preprocessing system comprises an automatic data information extraction and retrieval tool, an automatic data file download tool, a large language model analysis engine and a gene expression data acquisition and feature extraction tool. The application can automatically preprocess the original data by applying the large language model data preprocessing system to the target scientific problem, and then store the data in the database. The characteristic direction matching algorithm is combined to output the drugs and key targets related to the target data set. The efficiency of target point and drug screening is improved. The application is suitable for large-scale omics data mining and disturbance analysis, accelerates the drug research and development, disease mechanism and translational medicine research process, and reduces the research and development cost.

The application discloses a kind of based on spatiotemporal prediction's elastic virtual cell multi-base station cooperative communication system and implementation method.The system uses the five-layer closed-loop architecture of global data perception and graph construction layer, spatiotemporal graph prediction layer, elastic virtual cell networking layer, prediction enhancement cooperative communication layer and closed-loop feedback optimization layer is constituted.In virtual cell, system utilizes prediction result to guide the cooperative scheduling of multi-base station resource, reduces scheduling decision range, improves scheduling efficiency and real-time nature.Meanwhile, system continuously monitors network actual operating state, and according to operation feedback, prediction model and scheduling strategy are adjusted, to maintain system stable operation.The application realizes the prospective scheduling and fine utilization of network resource, improves system capacity and resource utilization efficiency, reduces network energy consumption, improves communication service quality, is applicable to high-density user aggregation and burst traffic variation scene, and has good engineering realizable and network evolution adaptation ability.

A static random access memory (SRAM) (300) and an electronic device, which solve the problem of how to balance the power consumption and area of a SRAM. The SRAM (300) comprises a global bit line, a local bit line, a gating unit (500), and a first memory region (310) and a second memory region (320) which are arranged in a first direction, wherein the gating unit (500) is arranged between the first memory region (310) and the second memory region (320); the first memory region (310) comprises a plurality of first memory cells (400a) and a first dummy cell (311) which is arranged adjacent to the gating unit (500), the second memory region (320) comprises a plurality of second memory cells (400b) and a second dummy cell (312) which is arranged adjacent to the gating unit (500), and the local bit line is connected to the plurality of first memory cells (400a) or the plurality of second memory cells (400b); and the gating unit (500) is connected to the global bit line and the local bit line. The SRAM (300) can be used as a cache in a circuit system.

System in a vehicle (100), wherein the system comprises: a memory that stores computer-readable instructions; and one or more processors configured to execute the computer-readable instructions, wherein the computer-readable instructions control the one or more processors to execute processes that include: virtual division of a loading area (120) of the vehicle (100) into several virtual cells (130); Determine whether the loading area (120) includes one or more weight sensors (150); Generating by implementing machine learning of a load profile for the loading platform (120) by obtaining weight values ​​from each of the one or more weight sensors (150) based on determining that the loading platform (120) includes the one or more weight sensors (150), and obtaining weight values ​​from sensor measurements from at least one of one or more tire pressure sensors and one or more suspension sensors (190), wherein the load profile provides a weight estimate in each of the multiple virtual cells (130) based on a load on the loading platform (120); Determining a first total weight estimate as the sum of the weight estimates of the virtual cells (1-16, 130) of the left loading area half and a second total weight estimate as the sum of the weight estimates of the virtual cells (17-32, 130) of the right loading area half; Determining a sigmoid function of a difference between the first and second total weight estimates, where the sigmoid function is defined as sig ( Δ ll − r ) − 1 1 + e − Δ ll − r and represents a sigmoid curve, where Δl l-r expresses the difference in the total weight estimates; and If the left side of the sigmoid curve is heavier than the right side of the sigmoid curve by more than a predetermined or learned threshold, provide a recommendation to move part of the load within the loading area (120) to the right in order to balance the load on the loading area (120).

The application discloses a multi-path adjustable bias current source layout layout array under a deep submicron process, and relates to the field of analog integrated circuits. The array is composed of n rows and m columns of basic units, and contains bias units and virtual units; the edge columns are all virtual units, the non-central columns are bias units, and the central columns are locally provided with virtual units. The bias unit contains PMOS tubes M1-M4 and a unit metal layer M5; M1 and M3 form a main current path, M2 and M4 are switch tubes, and are connected with a digital module through M5 and M6. The gate electrode adopts multi-layer metal low-resistance interconnection, and the active region is continuous; the bias unit layout is arranged in an inclined gradient mode, and six paths of currents are formed. The application has the effects of inhibiting the secondary effect of the layout, reducing current mismatch, realizing high-precision matching, and cooperating with digital adjustable calibration.

The application provides a microwave density detection edge effect compensation method and system based on mobile convolution, and relates to the technical field of nondestructive testing. A scanning model is established by scanning a standard rod; a simulation model of the axial theoretical density distribution of a column body (such as a cigarette) to be detected is constructed according to the design parameters of the column body; virtual units with background density are virtually extended at both ends of the column body to be detected represented by the simulation model, so that a detection virtual model is formed; forward convolution operation is performed based on the scanning model and the detection virtual model, so that a predicted density distribution containing edge effect interference is obtained; the microwave actually measured display density of the column body to be detected is acquired, regularization deconvolution operation is performed by using the scanning model, so that the column body inversion density distribution compensated for the edge effect is reconstructed; the inversion weight of the column body is calculated based on the inversion density distribution, and is compared with the theoretical weight of the column body to be detected, so that the final column body real density distribution is obtained, and the accuracy and reliability of the detection data are improved.

Embodiments of the present application provide a kind of interactive method in three-dimensional space, device, storage medium and electronic device, wherein the method comprises: display target augmented reality three-dimensional picture on target augmented reality device, and display target virtual interactive object in virtual three-dimensional space in target augmented reality three-dimensional picture, reality three-dimensional space is rasterized, virtual three-dimensional space is rasterized, there is mapping between the two;Obtain the target moving track of target object in reality three-dimensional space;Determine the reality cell set that target moving track passes through;Determine the first virtual cell set that passes through corresponding with the reality cell set that passes through;According to the position relationship between first virtual cell set and second virtual cell set, determine whether target moving track triggers target virtual interactive object target interaction operation. By the present application, the technical problem that the application range of interactive method in related art is narrow is solved.

Various integrated circuit transistor device structures that implement nanosheet fin transistors are disclosed. A layout for a transistor device structure includes active cells, wherein dummy cells are positioned between the active cells. The active cell and the dummy cell may include nanosheet fin regions having different widths. In some examples, transitions (e.g., mutations in width) between different nanosheet fin region widths are positioned inside the dummy cell, rather than at the interface between the dummy cell and the active cell. Placing a mutation in width inside the dummy cell reduces the mechanical stress between the active cell and the dummy cell and allows design variations in the size of the active transistor during the manufacturing process.

This application provides a virtual cell method, device, and medium based on hierarchical controllable reinforcement learning. The method includes: acquiring observation vectors from single-cell multi-omics data and condition vectors for setting experimental conditions; mapping the observation vectors and condition vectors to latent state vectors with biological constraints; determining a reference differentiation stage sequence based on the latent state vectors and the target cell type; generating a corresponding molecular regulatory action sequence for each differentiation stage; predicting the next latent state and state transition probability based on the latent state vectors and molecular regulatory action sequences to obtain multiple candidate differentiation paths; generating a probability distribution of the multiple candidate differentiation paths; and outputting a prediction result containing the multiple candidate differentiation paths and their corresponding probability distributions. The technical solution of this application can effectively maintain the continuous evolutionary characteristics during the differentiation process, avoid non-biologically reasonable state transitions, and improve the consistency and long-term stability of differentiation stage predictions.

A static random access memory (SRAM) (300) and an electronic device, which solve the problem of how to balance the power consumption and area of a SRAM. The SRAM (300) comprises a global bit line, a local bit line, a gating unit (500), and a first memory region (310) and a second memory region (320) which are arranged in a first direction, wherein the gating unit (500) is arranged between the first memory region (310) and the second memory region (320); the first memory region (310) comprises a plurality of first memory cells (400a) and a first dummy cell (311) which is arranged adjacent to the gating unit (500), the second memory region (320) comprises a plurality of second memory cells (400b) and a second dummy cell (312) which is arranged adjacent to the gating unit (500), and the local bit line is connected to the plurality of first memory cells (400a) or the plurality of second memory cells (400b); and the gating unit (500) is connected to the global bit line and the local bit line. The SRAM (300) can be used as a cache in a circuit system.

Certain aspects of the present disclosure provide techniques for configuring and operating virtual cells, including virtual cells that operate in non-contiguous subbands. A method that can be performed by a user equipment (UE) includes receiving signaling indicating a plurality of non-contiguous subbands configured for a virtual cell, and communicating in the virtual cell via the non-contiguous subbands.

The invention relates to a system and a method for providing infrastructure services comprising a mobile infrastructure including mobile infrastructure nodes adapted to provide infrastructure services for application nodes hosted in virtual cells clustering applications with common application requirements geographically and an orchestration system adapted to perform a virtual cell configuration process to assign infrastructure nodes to the virtual cells according to application requirements.

The disclosure provides example methods that include obtaining measurements of multiple optical properties (e.g., fluorescent intensities at multiple emission and / or excitation wavelengths) for a plurality of cells from each of a plurality of different cell samples and then gating them into respective sets of two (or more) populations according to each of the optical properties and / or combinations of the optical properties. Virtual cell classes are then determined for each of the cells, with each Boolean combination of populations across all of the optical properties corresponding to a respective different cell class. Counts are determined for each cell class for each sample and normalized within-sample to arrive at a cell class count-based vector characterization of each sample. These vectors can then be displayed to a user (e.g., after clustering along cell classes and / or cell samples) to facilitate the identification of biomarkers or other analysis within the population of samples.