362 results about "Input field" patented technology

Implementations relate to processing an image of a machine-read-able identifier (e.g., a QR code or other 2D barcode) to extract information that is encoded in the machine-readable identifier, and using the extracted information in automatically populating input fields of a fillable form that is being rendered at an application (e.g., a web browser application) of a computing device. Some implementations convert certain information, extracted from a machine-readable identifier, to a converted format and cause the converted format information to be populated in a corresponding input field in lieu of the certain information in its raw format that is extracted from the machine-readable identifier.

The invention belongs to the technical field of data processing, and particularly relates to a potential safety hazard real-time identification method and system based on a multi-modal large model, the system comprises the multi-modal large model, a field knowledge base and a multi-modal inference engine, the multi-modal large model is responsible for visual feature extraction and scene semantic understanding of an input field image, and the field knowledge base is responsible for field knowledge base analysis; processing a natural language query provided by a user; the domain knowledge base stores construction safety related laws and regulations, guidelines and historical cases, and factual basis is provided for the system through a structured storage and efficient retrieval mechanism; the multi-modal reasoning engine coordinates the whole process of visual understanding, task decomposition, knowledge retrieval and report generation, and is a core control module for realizing multi-modal reasoning and decision making. And refined understanding of entities and hidden dangers in a construction scene is realized. According to the system and the method thereof, the image content and the text specification can be dynamically fused, and missing detection or misjudgment caused by modal splitting in a traditional method is avoided.

The invention relates to the technical field of image enhancement, in particular to a field-level crop image enhancement system based on multi-source remote sensing data, and the system comprises an artifact joint detection module which analyzes the mutation or periodicity of a statistical mean value and a variance value in the row and column directions of an input field-level remote sensing image, and recognizes an artifact stripe region. According to the invention, the method achieves the high-precision removal of thin clouds and stripe artifacts through carrying out the mutability analysis of the local mean and variance of the input remote sensing image in the row and column directions, positioning a stripe artifact region, and building an attenuation numerical relationship in combination with the spectral information of an adjacent clear sky reference region, and reduces the ground feature information loss in the image. Multi-scale coefficient decomposition is further performed on the image after artifact removal, texture features are extracted from homogeneous crop canopies in adjacent undamaged areas, and high-frequency coefficients of damaged areas are dynamically replaced and reconstructed, so that the texture structures of the damaged areas are highly consistent with those of the adjacent areas, and the regional texture continuity and authenticity are improved.

The invention discloses an oil reservoir production dynamic prediction method fusing discrete gradient information, and belongs to the technical field of oil reservoir development and artificial intelligence crossing, and the method comprises the steps: building a heterogeneous oil reservoir oil-water two-phase flow numerical simulation data set based on a numerical simulation method; designing a double-branch network structure and extracting spatial and physical characteristics of input field data in parallel, wherein the spatial and physical characteristics comprise a main characteristic coding branch and a differential operator branch; designing a backbone network to carry out deep nonlinear modeling; an efficient pressure and saturation field prediction neural network model is constructed based on a double-branch network structure and a backbone network, in a model training stage, spatial region observation points of part of time steps are used to participate in data item loss calculation, and meanwhile, physical control equation residuals are introduced into all time steps and a whole space to serve as physical loss items; a trained efficient pressure and saturation field prediction neural network model is obtained, and high-precision prediction of a full-time-sequence pressure field and a saturation field is achieved.

A multi-channel ticket creation and service management system that includes: a graphical interface controller configured to provide a graphical user interface (GUI) accessible through a plurality of predefined Uniform Resource Locators (URLs), the GUI including interactive service request forms associated with a plurality of hierarchical service and subservice classifications; a form processing circuit operatively coupled to the graphical interface controller and configured to receive a selected service-subservice combination from a user and dynamically populate subsequent input fields based on a predefined service taxonomy, the input fields including contact information, email address, subject, location identifier, area of ​​responsibility field, and a description field; a rule execution logical processing unit coupled to the form processing circuitry, the rule execution logical processing unit configured to enable or disable one or more context-sensitive fields based on logical rules stored in a service-subservice dependency tree, the logical rules governing the enablement of date and time fields exclusively when the selected service is journalism and the selected subservice is newspaper reporting; an authentication mapping processor comprising a session parser and a user-to-department resolver, wherein the session parser is configured to extract user credentials and associated metadata from session cookies or authentication tokens, and the user-to-department resolver is configured to auto-populate an activity-driven scope field based on the extracted metadata and an organizational mapping scheme; and a validation and transmission control unit configured to check the completeness and data type conformity of all enabled fields, generate a structured ticket record, and transmit it to a central ticket management platform.

Systems and methods for custom filtering of large language model content are provided. A request associated with a user device may be received at a platform associated with a secure network environment. The request may concern usage of an online service associated with a large language model (LLM). A user interface may be generated that includes an input field. Prompt data may be provided by the user device via the input field of the user interface. The prompt data may be determined to include sensitive data in accordance with a data model trained to recognize patterns associated with sensitive data. The received prompt data may be modified to remove the sensitive data. The modified prompt data may be routed over a communication network to the online service associated with the LLM.

One or more data objects from at least one of HR data system may each contain data fields storing HR information. A graphical user interface (GUI) may present primitive coding blocks representing standard graphic programming functions and custom business blocks representing high-level operations customly directed to the one or more data objects. A visual workflow may be constructed using at least one block selected, by a user of the GUI, wherein the at least one block represents operations linking the data fields of the one or more data objects to corresponding input fields of the at least one block. The at least one block of the visual workflow may be translated into a custom data connector comprising executable instructions for obtaining values for the corresponding input fields from the linked data fields and generating, based on the values, at least one corresponding data object storing the HR information.

An autonomous fraud / AML reporting system and methods are provided that are configured to automate SAR narrative generations using prompts to a generative AI service by an automated SAR narrative system. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform narrative generation operations which include receiving a SAR, loading a prompt template that is associated with generating a SAR narrative by the generative AI service, extracting SAR data corresponding to one or more of prompt input fields for the prompt template, creating an updated prompt based on the extracted SAR data and the prompt template, calling the generative AI service using the updated prompt, receiving a response to the updated prompt, combining the responses and generating and storing the SAR narrative.

Some embodiments automatically identify a target of a robotic process automation (RPA) activity (e.g., a button to click, an input field to fill out) according to a semantic similarity between a design-time label of the target and a label of a target candidate selected from a runtime instance of the target UI. Semantic similarity herein denotes likeness of meaning, as opposed to wording. Some embodiments employ a language model (LM) to quantify semantic similarity.

Methods, storage systems and computer program products implement embodiments of the present invention method for protecting a client computer, which includes a processor and a display. The method includes analyzing a web page that was downloaded to the client computer, and identifying, by the processor, a password input field in the web page. After rendering the password input field to the display, an input to the password input field is captured, and the captured input is evaluated against a specified password policy. Finally, an alert is generated upon detecting a violation of the specified password policy.

A copy-or-generate model architecture is provided that a generates generation distribution obtained from the outputs of the last decoder layer and a copy distribution built from the cross-attention scores of the last decoder layer. The model applies copy weights to the generation distribution and copy distribution to determine whether to generate a next token or to copy a token from the prompt. The model provides better security by ensuring that the input values from the prompt are directly copied to the output when appropriate, such that the model is blind to the original values to copy. In a semi-sandboxed configuration, additional information may be input to the model to help the model adapt the output based on the context of those input fields.

The invention provides an asynchronous picture generation and analysis method and device. The problems that in the prior art, a picture generation and analysis method is low in efficiency and poor in real-time performance are solved. The method specifically comprises the following steps of S1, obtaining input field data; s2, if the field data does not comprise any one of the analysis data, the analysis data and the task-id, executing a step S3, otherwise, executing a step S4; s3, assembling picture features and request parameters according to the input field, and calling a picture generation interface to generate a picture according to the request parameters to form the picture; and S4, inputting the input field into the LLM, and performing query analysis through the LLM to form a query analysis result.

The invention provides a zero-code report management method and system. The method comprises the following steps: 1) identifying a shot paper table picture to obtain a table title and table items; processing the spreadsheet to obtain a sheet title and a sheet item; 2) processing the obtained table titles and table items to obtain database names and field names, and establishing a database table and in-table fields; outputting the processed database name and field name; 3) dynamically generating report management data according to the input database name and field name so as to realize the functions including adding, deleting, modifying and querying of the report data; 4, the needed UI template is selected according to the input database name and the input field name, and a report management interface and an editing interface are dynamically generated according to the input item and the selected UI template style.The requirement for zero-code report management is met by photographing and recognizing a traditional paper report, importing an electronic report and generating the needed report through one key.

A method for writing data sets (DS) into a relational database (13), wherein each data set (DS) comprises at least two attributes (A), includes the steps of: determining at least one value for at least one of the attributes (A1) as criterion for filtering the data sets (DS) by the attribute value; computer implemented outputting data sets (DS) filtered by the attribute value in an output view (AS) and providing an input field (EF) in the output view (AS) for entering a value for another one of the attributes (A4); in response to entering a value in the input field (EF) of the output view (AS) computer implemented generating a complete data set (DS4) including the value set as filter criterion for the corresponding attribute (A1) and the entered value for the other attribute (A4); and storing the generated dataset (DS4) in the relational database (13).

The application discloses a large-scale PDE neural operator pre-training method based on a high-frequency enhancement module, a partial differential equation (PDE) data set is composed into a mixed data set, a large-scale PDE neural operator is constructed, preprocessed PDE data is mapped to a latent representation space through a space-time encoder, a frequency decomposition module is used for frequency space mapping, the frequency decomposition module includes parallel high-frequency branches and low-frequency branches, and high-frequency features and low-frequency features are obtained respectively; a multi-frequency fusion module (GFM) adaptively fuses the high-frequency features and the low-frequency features through a gating mechanism; finally, a prediction head is used for processing the fused features, and final output features, i.e., predicted physical features of a next time step, are obtained. The application firstly introduces an explicit frequency division and a high-frequency enhancement mechanism, the input field is divided into low-frequency and high-frequency parts, the low-frequency branches / high-frequency branches are used for processing respectively, and thus the model can simultaneously consider global trend modeling and local gradient detail reconstruction.

The invention provides a chart generation method and device, electronic equipment and a storage medium, and relates to the technical field of data analys.The chart generation method comprises the steps that in response to a data analysis instruction for a target data source, at least one initial analysis intention is displayed; in response to the intention selection instruction, determining a target analysis intention from the at least one initial analysis intention based on the intention selection instruction; displaying a question template corresponding to the target analysis intention; receiving an input field aiming at each first slot position in the question template, and combining the input field with a first fixed statement in the question template to generate a question sentence pattern; and performing chart generation processing on the target data source based on the question sentence pattern to obtain a target chart. By introducing the structured input mode, the user is restrained from asking questions too divergently, the quality of the question sentence pattern is improved, the efficiency and accuracy of chart generation are improved, the generated chart better conforms to the expectation of the user, and the satisfaction degree of the user is improved.

A method, computer program product, and computer system for automatic compliant password generation. The method includes activating password generation for a given input field and gathering information from one or more sources associated with the input field. The method includes determining password criteria from the gathered information and generating bound requirements based on the determined password criteria. The method further includes generating a randomized password meeting the bound requirements.

The invention discloses a table instruction conversion system based on an electric energy meter communication protocol, and the system comprises a data collection module which obtains and processes an electric energy meter communication protocol file and a historical manual processing instruction data set; the basic information reading module is used for extracting an input field and a data format and mapping a power grid instruction format to generate a compliance instruction; the instruction missing comparison module is used for comparing the compliance instruction with the historical data set and judging field missing content; the lexicon association and expansion module is used for extracting initial keywords and generating virtual expansion words covering missing scenes; the evaluation storage module is used for verifying the virtual expansion words and storing the virtual expansion words into an expansion associated word bank in a classified manner; the table content information extraction module is used for analyzing the file through an index strategy, automatically extracting content to fill the intelligent table and recording a source; the method has the advantages that electric energy meter communication protocol deep analysis, dynamic lexicon expansion and automatic table instruction generation can be carried out, and electric energy meter data processing refinement and real-time performance are improved.

To provide an information processing system capable of reducing a welfare undertaker's burden of creation of a document.SOLUTION: An information processing system comprises: a record reception section for receiving an interview record recording interview contents between a user who utilizes welfare services and a welfare undertaker who supports the user from a terminal device used by the welfare undertaker; a selection reception section for receiving selection of user information identifying the user when the record reception section receives the interview record; a record acquisition section for acquiring a past interview record recorded in the past relative to the interview record on the basis of user information that the selection reception section receives the selection; a generation instruction section for instructing a text generation AI to generate a text inputted to a document file having predetermined input items on the basis of the interview record and the past interview record; a text acquisition section for acquiring the text generated by the text generation AI; and an output section for outputting a document file in which the text acquired by the text acquisition section is inputted to the input items.SELECTED DRAWING: Figure 1

A method for generating self-serve integrations includes receiving a network address of a configuration file that includes parameters to interface with a server. The method extracts, from the configuration file, endpoints and operation(s) available to manipulate each endpoint. The method displays a first table having a rows displaying (a) a given endpoint and (b) a menu for selecting a given operation to manipulate the given endpoint. The method, upon selection of a given row, displays input field(s) that accept a parameter, authorization, header, body, and / or response data. The method gathers, from the server, a data fields available at the given endpoint. The method displays a second table having rows that have data field(s), and input(s) for a data type, column type, a display name, unit, description, primary key, secondary key, and / or an indexing toggle.

A method for generating self-serve integrations includes receiving a network address of a configuration file that includes parameters to interface with a server. The method extracts, from the configuration file, endpoints and operation(s) available to manipulate each endpoint. The method displays a first table having a rows displaying (a) a given endpoint and (b) a menu for selecting a given operation to manipulate the given endpoint. The method, upon selection of a given row, displays input field(s) that accept a parameter, authorization, header, body, and / or response data. The method gathers, from the server, a data fields available at the given endpoint. The method displays a second table having rows that have data field(s), and input(s) for a data type, column type, a display name, unit, description, primary key, secondary key, and / or an indexing toggle.

In one implementation, a method of visualizing text is performed by a device including a display, one or more processors, and non-transitory memory. The method includes detecting a text input device at a first location within a volumetric environment. The method includes detecting selection of a text input field of a user interface displayed within the volumetric environment. The method includes displaying, on the display, a representation of the text input field at a second location within the volumetric environment associated with the first location of the text input device.

Systems and methods of the present disclosure are directed to a method for machine-learned code segment prediction for optimizing software development. The method includes obtaining an incomplete segment of code. The method includes processing the incomplete segment of code with a machine-learned code prediction model to obtain a sampled set of segment completion predictions that include code that completes the incomplete segment of code. The method includes determining an aggregated segment completion prediction from the sampled set of segment completion predictions. The method includes replacing a portion of the aggregated segment completion prediction with an input field, wherein the portion of the aggregated segment completion prediction is associated with a degree of certainty less than a threshold degree of certainty.

A method for generating self-serve integrations includes receiving a network address of a configuration file that includes parameters to interface with a server. The method extracts, from the configuration file, endpoints and operation(s) available to manipulate each endpoint. The method displays a first table having a rows displaying (a) a given endpoint and (b) a menu for selecting a given operation to manipulate the given endpoint. The method, upon selection of a given row, displays input field(s) that accept a parameter, authorization, header, body, and / or response data. The method gathers, from the server, a data fields available at the given endpoint. The method displays a second table having rows that have data field(s), and input(s) for a data type, column type, a display name, unit, description, primary key, secondary key, and / or an indexing toggle.

The invention provides a sensor deployment optimization method based on a field environment, and the method comprises the steps: a big language model analysis step: carrying out the analysis of an input field environment parameter and an optimization target through a big language model, and generating a first mathematical model for sensor deployment; a multi-agent collaborative optimization step: dynamically adjusting the first mathematical model through a multi-agent collaborative mechanism, and generating an initial deployment scheme of the sensor; and a genetic algorithm optimization step: performing multi-objective optimization on the initial deployment scheme through a genetic algorithm, and outputting the deployment number and deployment positions of the optimized sensors. The invention further provides a sensor deployment optimization device based on the field environment, a storage medium and electronic equipment. Therefore, by combining the large language model, the multi-agent cooperation mechanism and the genetic algorithm, global optimization and dynamic adjustment of the deployment number and the deployment positions of the sensors are realized, so that the deployment efficiency and effect of the sensors in the field environment are greatly improved.

Systems and methods are disclosed for enabling gesture-based controls within a conversational interface. The system interprets swipe gestures and dual-touch interactions to streamline chat-based workflows. A swipe-right gesture across a chat input field triggers predictive message autofill based on conversational history and user-specific context. A swipe-left gesture recalls the user's last-sent message and places the input field into an editable state. Additionally, emotional reactions may be applied to specific chat messages through dual-hand gestures, such as upward swipes or semicircular motions, which map to reactions including thumbs up, love, thumbs down, hate, happy, and sad. In domain-specific implementations, users may swipe across AI-recommended content—such as real estate listings—to indicate preferences, allowing the assistant to adapt future suggestions accordingly. These features enable low-friction, expressive interaction within mobile and web-based messaging environments.

An apparatus for generating a market analysis plan, the apparatus including at least a processor; a memory communicatively connected to the at least a processor, the memory containing instructions configuring the processor to: receive user data; generate an interface query data, wherein the interface query data structure configures a remote display device to: display the input field to the user; receive at least a user-input datum into the input field; retrieve data related to the at least a user-input data from a database communicatively connected to the processor; and refine the interface query data structure; generate multiple data multipliers based on the at least a user-input datum; identify at least an improvement datum as a function of the achievement plan; generate a goal report as a function of the at least an improvement datum.

Disclosed herein are system, method, and computer program product aspects for generating a prompt for an LLM using a prompt template. A system retrieves an external data reference to context data included in a prompt template. The prompt template is selected from a plurality of prompt templates based on the field type of an input field in an interface. The system then generates a prompt based on the prompt template and the retrieved context data. The system then prompts the LLM accordingly, which generates a non-deterministic output for responding to the user request.

The present disclosure relates to a method for establishing an ESG database including: parsing an ESG document subject to structuring; screening whether the parsed ESG document includes items corresponding to at least one of the pre-stored plurality of ESG management items; specifying a selection status for items in the ESG document based on whether an item corresponding to the ESG management item is included in the document; activating or deactivating input fields for final input field values for the pre-stored plurality of ESG management items according to the designation result of the selection status; and generating structured data by obtaining the content of items corresponding to ESG management items determined to be included in the document, and an ESG service providing system performing the same.

Computerized systems and methods facilitate searches by identifying instances where the relative positional relationships of multiple search inputs exist within a corpus of text containing pre-compiled code. The search system identifies a presence or absence of the relative positional patterns by unidirectional sub searches anchored at a location that a primary search input occurs within the code. The directionality of the sub searches may be determined by the system based on the input field in which the search input was provided. The system may provide search results that facilitate review of the code at each location the presence or absence of the relative positional pattern exists within the corpus.