46 results about "Field element" patented technology

The invention relates to the technical field of big data analysis, and discloses a prospecting target area positioning method and system based on big data, and the method comprises the steps: collecting multi-source exploration data in real time through distributed nodes, completing coordinate normalization, semantic alignment and time synchronization through a spatial heterogeneous data flow engine, and generating a standardized incremental data block; performing local feature sensitivity analysis based on the historical model library, identifying a newly added feature dimension, and performing parameter increment updating by adopting a sliding window gradient descent method; inputting the updated model into a target evolution model driven by a Bayesian space-time probability field, and dynamically calculating the metallogenic probability of each space grid in combination with a stress field, an element migration path and historical verification data; and generating high, medium and low three-level target area maps according to probability sorting, and pushing the high, medium and low three-level target area maps to a three-dimensional visual decision terminal. According to the method, minute-level dynamic response of the target region under triggering of newly-added data is realized, computing resource consumption is reduced to be less than 5% of that of an original system, and prospecting efficiency and abnormal region identification timeliness are improved.

The present invention discloses an error correction method and system for FPGA, which relates to the technical field of data encoding and decoding, and includes: generating Galois field elements based on the received symbol vector and the primitive polynomial, and calculating the syndrome polynomial through 8-symbol parallel processing; calculating the coefficients of the error location polynomial through the BM iterative algorithm based on the syndrome polynomial; calculating the error location by parallel substituting 10 Galois field elements through the Chien search method based on the error location polynomial; establishing the evaluation polynomial and the error pattern calculation formula, and performing polynomial division calculation through the derivative of the error location polynomial to obtain the error pattern; performing error code judgment based on the error location and the error pattern, and correcting the error symbol through the XOR operation in the Galois field to obtain the updated symbol vector. The present application adopts a parallel pipeline design structure, which enables the FPGA to automatically and real-time correct the received error module data without retransmission, effectively improving the real-time performance and reliability of error correction.

The invention relates to the technical field of big data analysis, in particular to a multi-element standardization corresponding method and system based on field association. According to the method, a complex problem is simplified through row-by-row screening and column-by-column summarizing dimension reduction processing, and a three-dimensional model among main field elements, an auxiliary field containing multiple elements and elements contained in the auxiliary field is converted into a two-dimensional plane model between screening elements and elements contained in the fields; the application coverage is wide, the data reliability is high, and the operation convenience is good; the excel screening function is reduced and optimized, the minimum number of cells participate in calculation to achieve maximized function realization, the operation speed is high, occupied resources are few, and robustness is good. According to the method, the associated correspondence between multiple fields containing multiple elements and the elements is realized by combining python, an accurate, rapid and convenient method and means are provided for solving the problem of standardized correspondence of multiple elements based on field association, and the blank in the field is filled.

The invention provides a form page construction management method and system based on AI large model dialogue generation, and relates to the technical field of man-machine interaction, the method comprises the following steps: step 1, performing intention analysis on user intention description through a pre-trained neural network model, identifying a user intention type, extracting form field elements, and establishing a form page; the form field elements comprise field names, data types and verification rules; 2, constructing a form layout virtual plane based on the form field elements, and establishing a basic layout framework on the form layout virtual plane; arranging layout coordinate points in the basic layout framework; dividing the basic layout framework into a plurality of field distribution areas according to the data characteristics of the form field elements; by intelligently analyzing the user intention, optimizing the form layout, matching the components and automatically processing the business process, form page construction and automatic execution of the business process based on dialogue interaction are realized, and the form construction efficiency and the business processing normalization are improved.

Embodiments of the present disclosure disclose a method, apparatus, system, device and medium for analyzing a state of an element (300) wherein the method comprises: receiving (S110) image data captured by at least one image capture device (10), wherein the image data comprises image and / or video data of at least one indicator (230) having at least one field element controller (200); generating (S120) filtered data using timestamped data based on the image data, wherein the filtered data comprises a change in state of the at least one indicator (230); the filtered data is transmitted (S131) in a memory storage device (50) for storage, or the filtered data is transmitted (S132) to one or more interfaces (61-67).

Disclosed are a 64-bit LDPC decoding method and device for BeiDou-3 satellite signals. The implementation of each stage's operations is more rigorous and detailed, providing confidence vectors for check node updates and variable node updates, and the required finite field elements for final verification, making the decoding process easier to understand and implement. A permutation process is added before check node updates, a depermutation process is added before variable node updates, and a posteriori confidence calculation is performed before final verification. The posteriori LLR is calculated by adding the LLRs of two non-zero confidence vectors in the same column to the original LLRs and sorting them. The corresponding finite field element of the minimum LLR is the calculation result. The finite field element obtained from the posterior confidence calculation is finite field multiplied with the check matrix for verification.

A rotating electric machine (10) includes a field element (20) including a magnet portion (22), and an armature (60) having a multiphase armature winding (61). The armature winding of each phase is formed by winding a conductor wire (CR), and has conductor wire portions (81) disposed at a prescribed interval in the circumferential direction at a position opposite the magnet portion. Each of the conductor wire portions is formed by arranging the conductor wire in one or more rows in the circumferential direction and in one or more rows in the radial direction. Each of the conductor wires is covered by an insulating film (602) in a state in which a plurality of wire members (601) are stacked in the circumferential direction. Each of the conductor wires is formed by connecting each of the wire members that constitute the conductor wire in parallel, and a cross section of each of the wire members is in a flat shape that is longer in the radial direction.

The present invention discloses a system and method for identifying a content of interest in a document. The method includes receiving a plurality of training documents that comprise a plurality of field elements, estimating for each data element present within the training document, a weighted distance of the each data element from a field element that corresponds to the content of interest. A feature vector is created based on the weighted distance and a position of the each data element with respect to the field element. A set of feature vectors are developed for the plurality of field elements and is used for training a field identification model. The field identification model is applied on the document to identify a beginning position of the content of interest.

Systems and methods for establishing data augmentation and enrichment within a data repository are disclosed, including a plug-in including an information relation charting engine, an analytical metric study engine, a derived record construction engine, and a configurational layer. The information relation charting engine receives raw data metrics from a production environment, determines a correspondence between field elements associated with each of the source and target schema, and correspondingly generates a mapping. The analytical metric study engine performs analytical analysis on the field elements present in the generated mapping and uses machine learning and previous data log to generate recommendations for the database. The derived record construction engine involves a deep learning model to generate relevant and usable data metrics based on the generated recommendations, which is then mapped to the relational database to generate augmented and enriched database.

A computer-implemented method is disclosed. The method includes: receiving a search query for a first application programming interface (API); generating an embedding of the search query; performing a search of the first API by using the search query embedding to search a set of first vector embeddings generated by: obtaining API schema of the first API; determining a set of all API paths associated with the first API based on the API schema, each API path defining a root API object and a sequence of one or more field elements of the API ending in a terminal field element; obtaining, using a large language model (LLM), natural language descriptions of each API path associated with the first API; and generating the first vector embeddings based on the obtained descriptions, and providing results of the search, the results identifying one or more API paths similar to the search query.

The technology described herein involves encoding data representing an array of finite field elements for performing calculations when creating RAID storage systems, characterized in that the bits encoding each element of the Galois field are not arranged sequentially, one after the other, but in increments of n bits, where n>1.

An elliptic curve random number generator avoids escrow keys by choosing a point Q on the elliptic curve as verifiably random. An arbitrary string is chosen and a hash of that string computed. The hash is then converted to a field element of the desired field, the field element regarded as the x-coordinate of a point Q on the elliptic curve and the x-coordinate is tested for validity on the desired elliptic curve. If valid, the x-coordinate is decompressed to the point Q, wherein the choice of which is the two points is also derived from the hash value. Intentional use of escrow keys can provide for back up functionality. The relationship between P and Q is used as an escrow key and stored by for a security domain. The administrator logs the output of the generator to reconstruct the random number with the escrow key.

The invention discloses an interaction processing method, electronic equipment and a readable storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving interaction data of a user; performing feature extraction on the interaction data through a preset small model to obtain interaction features, and performing domain element integrity analysis on the interaction data to generate a domain element missing list; performing semantic definition and integrity evaluation based on the interaction features through a preset large model, and generating a semantic evaluation result; and if the domain element missing list is empty and the semantic assessment node indication semantics is clear and complete, generating a reply for the interaction data through a preset large model. According to the invention, the natural and smooth experience of AI interaction is improved.

A service management system may include an intake interface builder interface, which allows administrators to create and edit intake interfaces for use in a help desk. Through that interface, the administrator may also create and edit field elements to be displayed and used as input items in an issue tracking platform. The intake interface builder may include a field region, which displays retrieved fields selected and sorted in accordance to a criteria. For example, the criteria may be based on user logs, semantic similarity, relatedness to other selected fields, and the like. This selection and sorting of fields allows administrators to quickly find and create intake interfaces.

A Halbach motor includes a coupling structure to transmit rotational torque of a field element to a shaft. The field element includes a first group and a second group each of which includes a plurality of unit permanent magnets arranged adjacent to one another, first magnets constituting the first group are formed of unit permanent magnets repelling each other, second magnets constituting the second group are formed of unit permanent magnets attracting each other, and a recessed step portion is formed on an end surface of the first group and the second group by the first group and the second group being displaced forward and backward in the axial direction with respect to each other. The coupling structure includes a plurality of recessed step portions of the field element and teeth forming a plurality of protruding portions arranged opposite to the recessed step portions in the axial direction.

Provided is a manufacturing method of a magnetizing element capable of producing a bonded magnet in which a magnet is press-fitted into an outer shell with a low cost and with an inner peripheral surface of the magnet satisfying a desired accuracy. The present invention is a manufacturing method of a magnetizing element (F) in which a cylindrical bonded magnet (2) in which magnet particles are bonded using a thermosetting resin is fixed into a substantially bottomed cylindrical outer shell (1), and includes a softening step of reheating the bonded magnet after a thermosetting treatment to soften the bonded magnet, and a press-fitting step of press-fitting the bonded magnet after softening into the outer shell from an opening on one side of the outer shell. The outer shell has a cylindrical portion (11) in which at least a fixing portion (113) of the bonded magnet is made of a magnetic material, and a lid portion (12) coupled to the other side of the cylindrical portion. In the press-fitting step, the bonded magnet is relatively fed into the cylindrical portion while allowing a variation in the relative posture of the bonded magnet and the outer shell. Thus, the bonded magnet after softening can be stably fed into the outer shell, and the inner peripheral surface of the bonded magnet becomes the same degree of accuracy as the inner peripheral surface of the outer shell.

An imaging system usable with an agricultural operations vehicle as the agricultural operations vehicle moves through a field includes a stereoscopic multispectral imaging sensor configured to capture images of the field in real time; a processor; and a memory. The memory includes instructions, stored thereon, which when executed by the processor cause the imaging system to: capture a real-time image by the stereoscopic multispectral imaging sensor; determine characteristics of field elements within the field based on the real-time image, wherein one of the determined characteristics of the field elements is a vegetation index; determine a morphology of the field in which the agricultural operations vehicle is moving based on the captured real-time image; combine as data the real-time image, the determined characteristics of the detected field elements, and the determined field morphology; and determine a location of the detected field elements based on the combined data.

The invention discloses a logistics block chain data storage method and system, and belongs to the technical field of block chains, and the method specifically comprises the steps: obtaining logistics data table structure information, including exporting an SQL file, analyzing and extracting a field element set, detecting field association to generate a topological graph, converting the topological graph into a directed acyclic graph, and storing the directed acyclic graph as a JSON metadata file; determining a hierarchical scene through field element and logistics ontology library concept mapping matching, and dividing a global access area and a fine-grained control area according to the hierarchical scene and an access specification; according to the method, hierarchical security prevention and control and storage are carried out on a global access area and a fine-grained control area, encrypted storage is carried out on the global access area, an exclusive key is generated for the fine-grained control area according to user role permission for encryption, and an access log is recorded, so that the security and management efficiency of cross-organization logistics data are improved.

The application discloses a multi-element LDPC decoding method based on a dynamic threshold cutting strategy, and is used for solving the problem of high complexity of a multi-element LDPC decoding algorithm. The method provided by the application introduces a dynamic threshold cutting strategy based on the reliability distribution characteristics of an information vector. The strategy dynamically selects a cutting threshold value by using the difference between the maximum value and the second maximum value of the reliability. If the difference reaches a preset difference parameter, the larger threshold value is selected, thereby reducing the finite field elements participating in the operation. If the difference does not reach the preset difference parameter, the smaller threshold value is selected, thereby relatively conservatively increasing more components. In the iteration process, information screening is carried out according to the threshold value, so that the number of states and the number of edges participating in the operation on a trellis diagram are less. The application can obtain lower average decoding complexity without performance loss.

The application provides a form page construction management method and system based on AI large model dialogue generation, relating to the technical field of human-computer interaction, the method comprising: step 1, performing intent analysis on user intent description through a pre-trained neural network model, identifying the user intent type, and extracting form field elements, the form field elements including field name, data type and verification rule; step 2, constructing a form layout virtual plane based on the form field elements, and establishing a basic layout framework on the form layout virtual plane; setting layout coordinate points in the basic layout framework; according to the data characteristics of the form field elements, the basic layout framework is divided into multiple field distribution areas. The application realizes form page construction and business process automatic execution based on dialogue interaction by intelligently analyzing user intent, optimizing form layout, matching components and automatically processing business processes, improving form construction efficiency and business processing standardization.

The embodiments of the present disclosure provide a station field simulation method, apparatus, device, and storage medium. The method includes: loading a station field map configuration file, displaying a station field interface and a station field status simulation operation interface; receiving a status adjustment instruction for a station field element input by a user in the station field status simulation operation interface; in response to the status adjustment instruction, calling the injection interface of the station field element, injecting the status corresponding to the status adjustment instruction into the station field element; and adjusting the display of the station field interface according to the injected status. In this way, the status of the station field element can be quickly injected by calling the injection interface of the station field element, thereby quickly performing a station field simulation without the need for a simulation environment.

In an 802.11az wireless system, a first station device transmits an NDP PPDU data unit in accordance with a range measurement packet exchange by constructing the NDP PPDU data unit to include an uplink (UL) length field element or a legacy signal length (LLEN) field element derived from a specified number of symbols (NHE-LTF) and number of repetitions (NLTF-REP) for the NDP PPDU data unit, and then sending the NDP PPDU data unit to a second STA device, where the values of the UL-length and LLEN field elements are computed as UL-Length=LLEN=10+y+6*Σi=1NUM_USERS((NLTF-REP(i)+1)*NHE-LTF(i)), where y=0 for NTB I2R / R2I NDP and TB R2I NDP PPDUs, and where y=3 for TB-I2R NDP PPDUs.

The embodiment of the invention provides a flight environment field data binding and dynamic updating method based on a low-altitude holographic grid, and is applied to the technical field of low-altitude airspace management and geographic information data processing. The method comprises the steps of analyzing input flight environment field grey-scale map data, and obtaining space information, time information and environment field element types corresponding to pixel points in a grey-scale map; grouping is carried out based on the space information and the time information, and environment field airspace elements including the space information, the time information and unique identifiers are generated; performing spatial filtering on the environmental field airspace elements, and screening out effective environmental field airspace elements of which the spatial range completely falls into a predefined scene boundary range; and updating the environmental field data based on the effective environmental field airspace elements. In this way, the problems of low grid construction efficiency, insufficient real-time performance and complex data association and updating process in the flight environment field data processing and updating process in the existing low-altitude holographic grid scene can be solved.

In some aspects, a method for generating encoded plaintext data in a plaintext vector space includes obtaining a plurality of vectors of plaintext elements, where each plaintext element is an element of a first finite field. The method further includes encoding the plurality of vectors of plaintext elements to a vector of field elements, where each vector of plaintext elements is encoded to a respective field element of the vector of field elements, each of the field elements is an element of a second finite field, and the second finite field is a finite extension field of the first finite field. The method additionally includes encoding the vector of field elements into an element of the plaintext vector space to produce the encoded plaintext data for homomorphic encryption and computation.

A computer-implemented method is disclosed. The method includes: receiving a search query for a first application programming interface (API); generating an embedding of the search query; performing a search of the first API by using the search query embedding to search a set of first vector embeddings generated by: obtaining API schema of the first API; determining a set of all API paths associated with the first API based on the API schema, each API path defining a root API object and a sequence of one or more field elements of the API ending in a terminal field element; obtaining, using a large language model (LLM), natural language descriptions of each API path associated with the first API; and generating the first vector embeddings based on the obtained descriptions, and providing results of the search, the results identifying one or more API paths similar to the search query.

The invention relates to a single-cycle binary Galois field element sequence arithmetic unit, a GHASH signature device and a chip. Wherein the single-cycle binary Galois field element sequence arithmetic unit calculates partial values in Galois field elements V1-V127 in advance and pre-stores the partial values in the first register, multipath outputs of the first register are in one-to-one correspondence with the plurality of Galois field updaters, each path of Galois field updaters correspondingly receives one of the partial values, and each path of Galois field updaters receives one of the partial values. Vi + 1 is iteratively generated based on the received Vi, the series of the element updating circuit is equal to the interval step length of Galois field elements corresponding to the two adjacent output ends of the first register, the multiple paths of Galois field updaters carry out operation of the element Vi in a multi-core parallel mode, the link of a single Galois field updater is controllable, and the Vi + 1 is generated based on iteration of the single Galois field updater. According to the method, the logic operation amount of a single link can be greatly reduced compared with the logic operation amount directly iterated from V0 to V127 in a serial mode, the GHASH operation effect can be achieved in a short time, the GHASH operation effect is matched with the throughput rate of a GCTR part, and the GCM encryption efficiency during high-speed pipeline encryption is improved.

A field element includes magnetic poles having polarities alternate in a circumferential direction. A multi-phase armature winding includes a phase winding including winding segments for each phase. An armature is tooth-less and includes a cylindrical armature core. The winding segment includes a pair of intermediate conductor portions at a predetermined interval in the circumferential direction and link portions connecting the intermediate conductor portions in an annular shape. The intermediate conductor portions and the link portion include multi-wound conductive wire members. The intermediate conductor portions are disposed side by side along a curved surface on a peripheral surface of the armature core. The intermediate conductor portion has a rectangular transverse section. A dimension between the end surface of the intermediate conductor portion on the armature core side and the armature core in the radial direction differ in the circumferential direction.

In the present invention, a magnet (100) is provided to either a stator (500) or a rotor (400) which are arranged in the radial direction (RD). The magnet has a plurality of orientations (OR). The types of structural components of the plurality of orientations include: a radial orientation component (ORr) along the radial direction; a circumferential orientation component (ORc) along the circumferential direction (CD) in which the rotor moves; and an axial orientation component (ORa) along the axial direction (AD) intersecting the radial direction in the circumferential direction. The plurality of orientations include the axial orientation component.