232 results about "Information mapping" patented technology

The invention discloses a policy recommendation method and system based on a heterogeneous knowledge graph, and relates to the field of policy recommendation, and the method comprises the steps: obtaining an original policy text from a plurality of heterogeneous policy data sources, and extracting policy-related information; mapping the policy-related information into policy entity nodes; mapping the enterprise portrait data into enterprise entity nodes; defining and generating multiple types of edges between the policy entity nodes and the enterprise entity nodes based on a preset semantic relationship so as to construct a heterogeneous knowledge graph, constructing a graph neural network model, and executing embedding calculation on various nodes in the graph so as to obtain node representation vectors; and obtaining a matching degree, and outputting a recommended policy entry set according to the matching degree as policy recommendation information of the target enterprise. The method not only breaks through the problems of format dependence, rule stiffness and semantic shallow hierarchy of a traditional policy recommendation system, but also has relatively high universality, interpretability and actual deployment value.

The invention provides a transformer substation operation and maintenance-based lock control terminal work log query method and system, and the method comprises the steps: collecting an original operation log stream generated by a transformer substation lock control terminal in a preset time period, serializing the original operation log stream to obtain a log data sequence, and then carrying out the context correlation analysis and recognition of an entity interaction relationship and behavior attribute description in a log text; a structured log metadata set is obtained after standardized integration; constructing a spatial topological index based on the physical layout and the electrical connection relationship of the substation equipment, mapping the equipment associated information in the spatial topological index to a corresponding node position of the spatial topological index, and generating a spatial enhanced log data set; receiving a natural language query request, generating a structured query expression, performing multi-dimensional retrieval matching on the spatial enhancement log data set, and outputting a preliminary query result set; and carrying out time sequence correlation analysis and operation influence evaluation on the log records to generate a query report. According to the invention, efficient and accurate query of the work log of the transformer substation lock control terminal can be realized.

The invention relates to a component memory leak detection method and device, computer equipment and a storage medium. The method comprises the following steps: when a component creation event of a to-be-detected component is detected, generating a first heap snapshot corresponding to the component creation event of the to-be-detected component, and when a component destruction event of the to-be-detected component is detected, generating a second heap snapshot corresponding to the component destruction event of the to-be-detected component; analyzing the first heap snapshot and the second heap snapshot, and determining target structured data; component instance nodes are determined, and an information mapping table between node unique identifiers and node information of the component instance nodes is constructed; determining candidate memory leak components according to the information mapping table; and determining a target memory leak component from the candidate memory leak components according to the component-created document object model and the component-destroyed document object model of the candidate memory leak components. And the identification precision of the component memory leak scene is improved.

The invention relates to the technical field of path planning, in particular to a pesticide spraying robot positioning method and system based on graph neural network multi-source fusion. Performing data preprocessing based on the acquired multi-source sensor information; graph node multi-modal data embedding is carried out on the preprocessed information based on perception information mapping; a multi-modal space-time diagram structure is built based on graph node multi-modal data embedding; performing graph feature propagation and fusion based on space-time attention weighting; and carrying out positioning calculation and path decision on the fused features based on spatial-temporal feature constraints. According to the method, a sensor observation graph structure is constructed, multi-source information such as GPS, IMU, vision, radar and the like is modeled in a node form, and nonlinear feature fusion is realized through graph convolution and an attention mechanism.

The invention relates to the technical field of electromagnetic metasurfaces and bionic computing, and discloses a bionic information processing method and system based on an electromagnetic metasurface. The method comprises the following steps: S1, mapping DNA sequence information into a multi-dimensional coding state of the bionic metasurface information processing unit in an electromagnetic adjustable parameter space; s2, realizing co-evolution of the multi-dimensional coding state in space, frequency, phase and amplitude dimensions by dynamically regulating and controlling electromagnetic response parameters of the bionic metasurface information processing unit; and S3, using propagation and interference of electromagnetic waves in the diffraction neural network and a near-field coupling effect between the bionic metasurface information processing units to complete copying, logical operation and information read-write operation of the DNA sequence information. The functions of DNA coding, copying, logic calculation, information reading and writing and the like are uniformly mapped into the programmable electromagnetic metasurface platform, and cooperative processing of information in the aspects of space, electromagnetism and algorithm is achieved.

The invention discloses a document revision method, a document revision device and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: firstly, acquiring a reference document and a to-be-revised document in a revision mode; and analyzing the reference document, and extracting structured revision information corresponding to the reference revision operation trace. And analyzing the to-be-revised document to generate structured document information containing target content and target format information. And then, generating a cue word based on the semantic intention of the structured revision information, and inputting the cue word and the structured document information into the target model to obtain target revision information. And finally, mapping the target revision information to the to-be-revised document, and generating a target document with a target revision operation trace. According to the document revision method, the normalization and accuracy of the revision result can be ensured, the manual intervention cost is reduced, and format errors and semantic errors are reduced.

The invention discloses a scene intelligent extraction method based on L4-level automatic driving minibus road test data, and the method comprises the steps: collecting environment data and vehicle dynamic data, and carrying out the preprocessing, and obtaining time series data; constructing a DSFEM network, inputting time sequence data for training, and constructing a self-supervised loss function to update parameters of the DSFEM network to obtain time sequence features; clustering the time sequence features through a K-means clustering algorithm to obtain clustered scene features; constructing a manual annotation scene library, and calculating the similarity between the scene features to be stored and the behavior features of the existing scenes in the manual annotation scene library; an existing scene with the highest similarity is matched for the scene features, and manual annotation information corresponding to the existing scene is mapped into the scene features, so that scene automatic extraction and manual annotation scene library updating are realized; according to the method, the efficiency is remarkably improved in the aspect of scene generation, the reasonability and the coverage range of a scene library are ensured, and reliable support is provided for testing and evaluation of an automatic driving minibus.

The application relates to a dexterous hand self-adaptive grasping method, a dexterous hand control system and a storage medium, the dexterous hand self-adaptive grasping method comprising the following steps: acquiring multi-modal perception data; after processing point cloud data to generate a point cloud global feature vector corresponding to a grasping target, mapping tactile patch information to a dexterous hand workspace to generate a simulated tactile signal; processing the point cloud global feature vector and the simulated tactile signal by using a Glow-CVAE conditional generation model to generate a candidate grasping gesture set comprising joint posture and pose parameters; determining the stability corresponding to each candidate grasping gesture, selecting a target grasping gesture from the candidate grasping gesture set according to the stability, and grasping the grasping target by using the target grasping gesture. Through the application, the problem that the adaptability to special-shaped parts and flexible objects is limited and the grasping stability is not high in the related art is solved, and the beneficial effects of high adaptability and stability of grasping diversified articles in a complex scene are achieved.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a wireless communication system and, more particularly, to a method and a device capable of performing same, in which a terminal: transmits, to a base station, first capability information including a first indicator indicating that the terminal is capable of receiving and applying radio resource control (RRC) signaling in which multiple pieces of reporting configuration information may be mapped to a single measurement ID; receives, from the base station, a first RRC message including first configuration information in which multiple pieces of reporting configuration information are mapped to a single measurement ID; determines whether multiple reporting conditions corresponding to the multiple pieces of reporting configuration information are satisfied; and transmits a measurement report message to the base station if it is determined that the multiple reporting conditions are satisfied.

The invention provides a ship plate part contour visual detection and polishing trajectory planning method, which comprises the following steps: obtaining a depth map of a ship part, the depth map comprising the overall contour and spatial height information of the part; extracting an actual contour of the ship part based on the depth map to obtain an actual contour point set of the part; matching the actual contour point set of the part with parts in a template library to complete part identification and pose registration; and according to the recognition result, the polishing edge information of the corresponding part template is called from a template library, the polishing edge information is mapped to the actual part contour point set, an actual polishing edge point set is determined, and a polishing track is planned. The grinding quality problem caused by errors of a model and a real object can be eliminated, the stability of the grinding quality is remarkably improved, the dependence on accurate positioning and a clamp is reduced, the robustness of the system under different working conditions is enhanced, the tool cost is reduced, and the intelligence of the system is improved.

The invention relates to a display screen testing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: receiving a test instruction for a touch channel of a display screen; determining a test channel of at least one test board card corresponding to the touch channel of the display screen; wherein an information mapping relationship exists between a touch channel of the display screen and a test channel of at least one test board card, the information mapping relationship is determined based on board card combination information, and the board card combination information comprises information of at least one test board card corresponding to the display screen; and based on the test channel of the at least one test board card, converting the test instruction into a test signal, and sending the test signal to a corresponding touch channel. The expansion capability of the test board card can be improved.

The invention provides an encrypted traffic management and control method, system and terminal based on eBPF and HTTPS, belongs to the technical field of data encryption, and constructs a one-to-many management and control and one-to-one execution architecture. During starting, the eBPF module is initialized, handshake messages are captured through multiple probes and a flow filter, and data are obtained and blocked. A strategy synchronization and instruction transmission channel is established, and an Agent terminal obtains a domain name strategy, sensitive word data and the like from a server and synchronizes the domain name strategy, the sensitive word data and the like to an eBPF module. And the eBPF module collects a connection information mapping relation according to a strategy and cleans the connection information mapping relation when the connection information is disconnected. And the HTTPS connection is audited or blocked in combination with the strategy and the collected information. The audit result is a log and reported to the server for storage. And through a one-to-many management and control and one-to-one execution architecture, the expansibility and the execution efficiency of the system are improved. And comprehensive data capture and accurate blocking are realized by multiple probes and a flow filter. A strategy synchronization mechanism ensures timely updating of the strategy, auditing and blocking functions guarantee network security, and log reporting facilitates subsequent auditing analysis.

The invention provides a digital factory equipment anomaly detection method and system based on voiceprint recognition, and the method comprises the steps: obtaining a voiceprint signal flow of digital factory equipment, carrying out the time-frequency domain conjoint analysis processing, generating a time-frequency mixed feature set, carrying out the feature mapping processing, generating a voiceprint embedded vector, and carrying out the feature mapping processing. Equipment working condition information corresponding to the voiceprint signal flow is called, association mapping is carried out on the voiceprint embedding vector and the equipment working condition information, a feature extension matrix is constructed, key abnormal feature extraction processing is executed by adopting a hierarchical attention mechanism, a first key abnormal feature subset and a second key abnormal feature subset are obtained through screening, and the first key abnormal feature subset and the second key abnormal feature subset are extracted; and carrying out dynamic weighted fusion processing on the two features to generate a fusion feature vector, and carrying out comparative analysis according to the energy distribution condition of the abnormal features and a preset abnormal threshold to judge whether the equipment is in an abnormal operation state or not. According to the method, the problem of information breakage or redundancy in the large-scale voiceprint data processing process can be avoided, and the detection stability and continuity are guaranteed.

The invention relates to the technical field of AR remote operation and maintenance, and provides an operation and maintenance system, an operation and maintenance terminal, an expert terminal, a server and a control method thereof, and the operation and maintenance system comprises an operation and maintenance unit which is used for collecting video information and depth data of a physical environment in real time; establishing a mapping relation between the physical environment and the virtual coordinate system according to the video information and the depth data of the physical environment to obtain a physical environment grid and a camera projection matrix; the expert unit is used for intercepting a static frame picture and generating marking information after selecting a marking type; the operation and maintenance unit is used for receiving the marking information and the marking type in real time; converting the labeling information into a camera space ray through the camera projection matrix; calculating a collision point of a camera space ray and the physical environment grid, and determining a three-dimensional space coordinate; and rendering the corresponding three-dimensional marking model in the display field of view of the operation and maintenance unit. The method is used for realizing remote maintenance of IT equipment, mapping expert guidance information to a physical environment and carrying out augmented reality visual display.

The invention provides an electric power project progress identification method based on integration of a live-action three-dimensional GIS (Geographic Information System) and a BIM (Building Information Modeling), which comprises the following steps of: acquiring a multi-view image of a construction site by utilizing oblique photography of an unmanned aerial vehicle, and constructing a live-action three-dimensional GIS model based on the image; mapping an electric power engineering BIM design model of a construction site to a geographic coordinate system which is the same as the real scene three-dimensional GIS model to obtain a fusion model; based on an artificial intelligence image recognition algorithm, engineering components are detected for the images, and detection results are mapped to the fusion model according to image positioning information; correspondingly comparing the actual installation state with a component in a BIM design model, and generating construction progress information of a component level; and displaying the fusion model in a three-dimensional visual platform, and comparing the construction progress information with a preset planned progress. The real-time performance and accuracy of progress monitoring are remarkably improved, personal errors are reduced, and the project management efficiency is improved.

The application discloses a kind of encryption control information nonlinear mapping methods based on chip self-heating, it is related to chip circuit's encryption information nonlinear mapping technical field, comprising: chip is divided into several physical area blocks according to two-dimensional matrix form, each physical area block is correspondingly provided with a hotspot unit and a network node, each physical area block corresponds different data representation;Each network node is numbered in disorder;Each array of heat intensity control information obtained according to encryption control information is transmitted to each corresponding network node;For a certain network node, the heat intensity control information received is transmitted to the corresponding hotspot unit, and the hotspot unit generates heat;According to the thermal imaging of chip and the data representation corresponding to each physical area block of chip, the nonlinear mapping result of encryption control information is obtained.The application improves the effectiveness of information mapping, better protects the transmission process of control information, and improves the security of information mapping.

A substation equipment status assessment and early warning system and method based on a digital twin platform includes the following steps: parsing the digital twin model to obtain basic equipment information and creating an equipment information mapping table; matching equipment types to select assessment algorithms and rules, and generating an equipment status assessment model; parsing inspection system data to match equipment information points; forming an equipment inspection information point table; instantiating equipment assessment objects and matching information points, algorithm parameters, and rules; initiating status assessment using a sliding window and event triggering mechanism to generate an assessment result file; analyzing historical data to predict equipment status and issuing alarms when anomalies occur. This method establishes an assessment model for complex primary and secondary equipment in substations, abstracts and concretizes multi-source data such as primary equipment, secondary equipment, monitoring, inspection, and operation and maintenance systems, and adopts flexible combinations of algorithms and evaluation rules to shield the differences between equipment and the diversity of algorithms, thereby improving the accuracy of the assessment and early warning function and the standardization of assessment results.

The invention discloses an information guide identification and form filling system and method, belongs to the technical field of intelligent information interaction and data processing, and aims to solve the problems of fuzzy demand positioning, fragmentation of information acquisition, low form filling efficiency and insufficient data credibility in traditional information interaction. After initial basic information of a user is collected, a question and answer association graph is constructed through a graph neural network, the initial information is mapped to graph generation node association features, and a guide label is generated through clustering analysis; matching a core guiding main line based on guiding labels and node weights, dividing interaction stages, generating a verbal skill construction guiding plan, starting self-adaptive question and answer to construct an original demand pool, and verifying and integrating the original demand pool into an initial demand information set; and matching a multi-modal acquisition target to generate a standardized data set, correcting structured information to position a target demand, matching a scale template, and realizing intelligent form filling through information quantitative conversion and deletion completion. According to the method, the cross-scene information interaction efficiency and the data availability are remarkably improved.

The invention discloses a patch card state adaptive management method, which comprises the following steps of: actively scanning and constructing a detailed card slot information mapping table for persistent storage by pre-configuring an initialization flag bit when equipment is powered on for the first time; in the subsequent starting process, the cache information is directly read to skip a time-consuming physical discovery process, so that the starting efficiency is greatly improved. Meanwhile, a closed-loop self-repairing mechanism is built in the method, and by continuously monitoring the network registration state and verifying the data integrity, physical rescanning can be automatically triggered and the cache can be updated when cache failure or data errors are detected, so that the system can always return to the most reliable state acquisition mode.

The embodiment of the application discloses a communication method and device, electronic equipment and storage medium, relates to the computer technical field, and the communication method is applied to a communication device, the communication device is installed with an operating system, the operating system includes: an application layer and a service layer, and the method comprises the following steps: obtaining interface information of a target interface compiled by using a preset language from the application layer, mapping the interface information into a first protocol packet, and sending the first protocol packet to the service layer; the first protocol packet is identified as a target language corresponding to the service layer, the target interface corresponding to the interface information is called by using the target language, and the communication between the application layer and the service layer in the operating system is realized. The embodiment of the application can realize that the interface information is compiled only once in the application layer, can be deployed and run in different operating systems, and achieves the purpose of cross-operating system running of business application.

Digital certificate generation and secret information verification method for hiding secret information: a digital certificate issuing system maps user secret information A1, …, A m into integers a1, …, a m , m≥1, calculates a modulo p polynomial F(X)=(X-a1)…(X-a m )H(X) mod p, H(X) is a modulo p polynomial of degree n, and the coefficients of F(X) are contained in the digital certificate; when it is necessary to verify whether one or more user secret information is contained in the digital certificate, a program or system for verifying user information in the digital certificate obtains the coefficients of the modulo p polynomial F(X) from the digital certificate, and uses the user secret information A1, A2, …, A m mapped and converted into integers a1, a2, …, a m as the zero points of F(X) to verify whether the user secret information to be verified is contained in the digital certificate.

The application discloses a river and lake water resource joint optimization scheduling system and method, relates to the field of resource scheduling, and comprises the following steps: a data acquisition module is used for setting a water resource management model and a multi-modal monitoring terminal, and water resource data information is acquired; a data visualization module is used for adaptively visualizing the obtained water resource data information in the water resource management model, and generating a river and lake water resource image; a scheduling analysis module is used for analyzing and processing the river and lake water resource image, and acquiring multi-target scheduling demand information; a data analysis module is used for performing multi-dimensional scheduling evaluation on the multi-target scheduling demand information, setting a scheduling priority according to an evaluation result; a joint analysis module is used for performing full-process simulation analysis according to the scheduling priority set according to the multi-dimensional scheduling evaluation result of each position, performing joint processing on the full-process simulation analysis result, and acquiring water resource scheduling information; and the application improves the collaboration of multi-target scheduling.

The invention relates to a robust image watermark embedding method based on fixed neural network steganography, and belongs to the technical field of computers. According to the method, the problems that a traditional image watermarking technology is prone to being damaged by attacks such as compression and cutting and the fine tuning cost is high are solved, robustness is obtained by adopting a HiDDeN framework to pre-train a watermark extractor, a potential diffusion model is constructed, the decoder weight is frozen, binary watermark information is mapped into potential spatial disturbance vectors, and therefore the robustness of the image watermarking technology is improved. A learnable module is utilized to generate disturbance through an L-BFGS optimizer, a visual undifferentiated image is reconstructed through a fixed decoder, and a fixed extractor verifies the watermark. According to the method, steganography is pre-set in a generation stage, post-processing performance loss is avoided, watermark consistency, attack resistance and safety are remarkably improved in combination with a fixed network structure, and the method is suitable for digital copyright protection and content traceability.

The invention relates to a water environment pollution source reasoning and tracing method, system and equipment and a medium. The method comprises the following steps: constructing a pollution source characteristic database containing spectrum fingerprints and spatio-temporal information; performing time sequence enhancement on the mixed spectral signal of the monitoring point to extract stable features; a hydrological model is coupled to dynamically simulate pollutant transport paths and probabilities, and a potential contribution source set with weights is generated; analyzing the mixed signal by adopting a deep unmixing network embedded with space-time constraint, and separating and quantifying known source contribution and unknown pollution components; and finally, generating a visual pollution contribution degree spatial distribution diagram and a quantitative traceability report through geographic information mapping. The method solves the problems that complex mixed signals are difficult to accurately analyze, multi-source contribution is difficult to dynamically quantify and unknown pollution components are difficult to effectively recognize in the prior art, and intelligent and accurate traceability of municipal water environment non-point source pollution is achieved.

This invention discloses a method for collecting geographic information mapping data for real estate based on unmanned aerial vehicles (UAVs), which relates to the field of digital processing technology. This invention generates collection task data by triggering data from events, and uses anchor points to identify the data and segment the collection task data to constrain the collection end, ensuring that the collected image data and boundary collection trajectory data are verifiable. The management end generates quality verification data through anchor point visibility verification, closure verification, and topological constraint verification, generates boundary element data, and then implements supplementary collection, dual-person or joint collection adjudication based on conflict comparison data, forming incremental update data and encapsulating evidence chain data, realizing low-cost, traceable and rapid updates of indoor and common area boundaries, serving real estate, fire protection and rental and sales businesses.

The application discloses a geographic information surveying and mapping device and a surveying and mapping method thereof, and relates to the technical field of geographic surveying and mapping. The geographic information surveying and mapping device comprises a box body, four guide columns are fixedly connected inside the box body, a storage mechanism is arranged inside the box body, a limiting mechanism is arranged on the box body, and a rotating mechanism is arranged inside the box body. When it is needed to store and carry the device, the rotating plate is attached to the top of the box body, and the rotating plate is firmly locked on the top of the box body through the combined action of the insertion block, the connecting frame, the insertion rod, the limiting insertion rod and the limiting plate extruded by the second spring, so that a compact box structure is formed, transportation and carrying on foot are facilitated, when it is needed to expand the device for operation, an operator only needs to manually unlock the limiting mechanism, pull up the rotating plate, and slide the guide shaft along the guide column to a predetermined height and then automatically lock the guide shaft, and then manually turn over the rotating plate and reposition the rotating plate by using the clamping plate, so that the expansion is completed.

The present application relates to a kind of coal mining operation multi-source time series data attention perception and dynamic memory method, belong to coal mine intelligent technology field.It includes: the three-dimensional feature dynamic extraction and scene information attention fusion of the multi-source time series data of coal mining face, generate scene multi-dimensional feature dataset;Multi-agent driven coal mining scene multi-dimensional dynamic information hybrid storage mode is used to store the multi-source time series data of coal mining face and scene multi-dimensional feature dataset, form data base;When obtaining coal mining scene task instruction, based on data base, in combination with equipment, process, environmental information, the related coal mining scene of it is mapped out, and the content indicated by the coal mining scene task instruction is completed by the cooperation of various types of Agent.The present application introduces Agent intelligent agent architecture and attention mechanism, in combination with dynamic memory management strategy, can provide core technical support for coal mining operation state real-time monitoring, fault intelligent diagnosis and production optimization decision.

The application discloses a psychological general measurement paper answer sheet recognition method and system based on visual processing. The method comprises the following steps: acquiring a target image and correcting it; positioning a specific region in the corrected target image; performing first image processing on the positioned identity identification region to extract identity identification information, including region binary processing and grid division, and completing grid and identity identification information mapping; counting the number of non-zero pixels of the grid to extract the identity identification information; performing second image processing on each question region to extract the answers of each question, including dynamically positioning the region of a single question and binary processing; performing morphological operation on the region of a single question, querying the contours of all options and mapping them to corresponding question numbers and options; acquiring the blackening confidence of each option, comparing the blackening confidence with each other and comparing the blackening confidence with a blackening confidence threshold, and determining the answers of the questions. The application can improve the flexibility and accuracy of psychological general measurement paper answer sheet recognition.

The invention provides a multi-party cooperative progress visualization monitoring method for intelligent building facilities, and relates to the technical field of intelligent building construction monitoring, and the method comprises the steps: collecting data, and building a three-dimensional model; establishing a causal relationship identifier based on the time sequence and the associated features to obtain a causal map, calculating an abnormal propagation probability and labeling a risk region; performing information mapping to generate a monitoring data stream and extracting features; calculating feature correlation, and mapping the feature correlation into a scene semantic segmentation map; and rendering in combination with the risk area and the progress information to obtain a visual three-dimensional dynamic construction progress. According to the invention, risk early warning and progress visual monitoring of the construction process are realized.

This invention discloses an integrated information processing method, system, electronic device, and storage medium based on multi-valued states, non-uniform weight mapping, and closed topological constraints. The method maps input information into multi-valued discrete state nodes and constructs a closed topological network including independent closed loops, positional closed constraint spaces, mirror loops, and / or hierarchically nested loops. It generates a background reference state, intrinsic pointing flow, and non-uniform weights based on preset rules and / or residual feedback. Based on the background reference state, the closed topological network, and the dimensional hedging mechanism, it performs polarity cancellation, mirror hedging, cross-dimensional compensation, orthogonal projection residual calculation, sliding offset compensation, and structural fingerprint generation on the state nodes. It performs closure determination based on local residuals, global residuals, cross-loop consistency, cross-dimensional consistency, tolerance thresholds, and stability windows. When the closure condition is met, it triggers deterministic early termination, decision output, reconstruction output, or locked output based on consistency verification and / or closure determination; when the condition is not met, it triggers blocking, correction, path switching, connection rearrangement, parameter refeedback, weight redistribution, or topological reconstruction. This solution can uniformly realize encoding, compression, verification, inference, secure output and reconstruction recovery, and is applicable to processors, programmable logic devices, dedicated logic circuits and in-memory computing arrays.