25 results about "Systematic search" patented technology

The invention discloses a unified search and page configuration rendering method and system based on a data model. The method comprises the following steps: S1, data acquisition and model mapping; s2, indexing and synchronizing data; s3, unified search request processing; s4, processing and returning a result set; and S5, dynamically rendering the page. The system comprises a data source layer, a data unification layer, an index layer, an application service layer and a display layer. The invention provides a set of end-to-end integrated solution for solving the problems that multi-source heterogeneous data is difficult to integrate, the cross-system search efficiency is low, page rendering lacks flexibility and the like. According to the scheme, by constructing a standardized data model, a unified search engine index system and a dynamic page rendering mechanism driven by configuration, a complete technical link from data source access to front-end display is achieved, and the efficiency and expansibility of the system in the aspects of data management, information retrieval and page display are remarkably improved.

Systems and methods for hybrid coding are provided. Various embodiments of the present technology provide systems and methods that are designed to simplify software development by combining a code snippet database, a chatbot interface, and a large language model (LLM). In some embodiments, a chatbot interface is provided where users describe their requirements, preferences, and project details via a conversation with the chatbot. Using the LLM, the system searches the code snippet database to select relevant code snippets tailored to the user's needs. The selected code snippet is returned to the user, along with any desired supporting documentation or information.

This invention reduces communication costs and investigation costs in regulatory compliance investigations or the like for chemical products and materials, and also protects the confidentiality of features such as component information on an information provision side. A search condition receiving unit 52 of a searcher device 1 receives input of one or more search conditions from a searcher for regulatory compliance investigations or the like with respect to a chemical product or material. A search condition confidentiality unit 53 of the searcher device 1 conceals, as confidential, at least some of the one or more search conditions that were received. A confidential search condition transmission control unit 54 of the searcher device 1 executes a control to transmit, to a search system 2, the one or more search conditions in a state of being at least partially concealed as confidential. A confidential state-maintaining search unit 61 of the search system 2 uses the one or more search conditions in a state of being at least partially concealed as confidential to search for information of a prescribed retrieval target for a regulatory compliance investigation or the like, and outputs the information as search result information.

A user interface is displayed to enable a user to initiate a search based on a selected reference document. The UI displays options that enable the user to narrow the search, and the UI receives from the user a selection of portions of the reference document to search against and any annotations. A query is submitted to find a set of patents that are similar to the reference document, and a set of matching patents is received. Text of the reference document and the annotations are input to into a ML model to determine the meanings of words in the reference document. Text of the matching patents are input to the ML model to determine meanings of words in the matching patents. The reference document is searched to find matches between the claims from the matching patents and the reference document. A ranked set of the patents is then displayed.

The invention discloses an automatic searching method for a static envelope boundary condition of a docking mechanism, and the method comprises the steps: carrying out the simplification of a three-dimensional model of the docking mechanism, and obtaining a simplified three-dimensional model of the docking mechanism; establishing a virtual prototype simulation model of the docking mechanism based on the simplified three-dimensional model of the docking mechanism; designing a docking mechanism static envelope boundary condition search algorithm; and based on the virtual prototype simulation model of the docking mechanism, automatically searching and determining the static envelope boundary condition of the docking mechanism by adopting the designed docking mechanism static envelope boundary condition search algorithm. According to the method disclosed by the invention, the problems of system searching and automatic detection of the boundary condition of the static envelope space of the docking mechanism are solved; compared with a conventional method for describing static envelope through limited trial and error approximation, the method has better accuracy, universality and engineering applicability, and is easy to implement and remarkable in effect.

According to the present invention, the effectiveness of search missions and other tasks when searching for an object using multiple systems can be improved. [Solution] The present invention is a control system that searches for an object in a predetermined first area using a plurality of moving bodies, and comprises: an object information interpretation unit that interprets object information relating to an object present in the second area based on acquired information obtained from a cooperative system capable of measuring a second area which includes at least a part of an area outside the first area; an object motion prediction unit that generates entry prediction information relating to the predicted content of an object entering the first area from an area outside the first area based on the object information; and an information output unit that displays or transmits to the outside information relating to the entry prediction information generated by the object motion prediction unit, or information relating to a portion or all of the plurality of moving bodies generated by the moving body motion determination unit based on the entry prediction information.

The invention discloses a task chain construction method and a related device, and relates to the technical field of process automation, and the task chain construction method comprises the following steps: when a task chain construction demand described by a natural language is obtained, firstly screening components related to the task chain construction demand from a component library to obtain a candidate component set, and then, the capability of the large language model is deeply combined with a systematic search optimization framework, and a task chain is automatically constructed according to task chain construction requirements and a candidate component set. According to the task chain construction method disclosed by the invention, full-process automation from demand understanding to task chain generation is realized, so that the construction efficiency of the task chain is remarkably improved, the time and labor cost is reduced, subjective prejudice and uncertainty caused by artificial experience, preference or fatigue are avoided, and the task chain construction efficiency is improved. And meanwhile, the user only needs to describe task chain construction requirements through a natural language, and does not need to have considerable domain knowledge, so that the technical threshold is relatively low.

This invention discloses a GIS-based method for calculating the optimal selection of reservoir dam sites and storage capacity. The method includes: acquiring and preprocessing DEM data and river vector data of the target area; setting an initial dam site and adjusting its axis to be perpendicular to the river channel using a directional model; calculating the storage capacity and inundation range of the dam site at different water levels; constructing and applying a dam site translation function to automatically and systematically generate a series of candidate dam site sequences along the upstream direction of the river; batch calculating the storage capacity and inundation range of all candidate dam sites at various water levels to form a quantitative decision matrix; finally, based on the calculated data, with "maximum storage capacity and minimum inundation" and "maximum storage capacity-to-inundation ratio" as optimization objectives, automatically selecting the storage capacity priority scheme and the comprehensive optimal scheme. This invention achieves objective and systematic search and multi-objective quantitative optimization of dam site selection, effectively overcoming the subjectivity and limitations of traditional empirical methods, and significantly improving the scientific nature and decision-making quality of reservoir planning.

The invention pertains to the field of computer implemented or computer aided methods for systematic search (contrary to trial and error) for materials (material science, material informatics) in relation to structural / mechanical properties and preferably both radiation shielding and structural / mechanical properties.

The invention discloses a complex environment sound law analysis system based on multi-modal AI fusion, and the system comprises the following modules: a sound processing module which is used for extracting a feature vector of a sound event and a corresponding timestamp from an audio stream; and the visual processing module is used for extracting the feature vector of the visual event and the corresponding timestamp from the video stream. The method has the advantages that for each detected sound event, the system searches visual events in a nearby time window, all possible pairing scores are calculated, and the highest score is selected for association. By setting a threshold value, the system can accurately deduce an event relationship, so that a sound rule is analyzed. Meanwhile, feature similarity and time proximity are considered, and the association rule of real-world events is better met. The exponential decay item automatically adjusts the influence of the time difference, and a fixed time window does not need to be manually set. Compared with a single mode or a simple fusion method, the accuracy of the formula is effectively improved in a complex environment.

The disclosed techniques provide improved methods of operating system (OS) search. Users are enabled to search for documents, emails, presentations, content they entered into a web form, meetings they participated in, and other interactions they had with their computing device. To accomplish this, screenshots are periodically captured and indexed. Machine learning models are used to infer embeddings for visual elements of the screenshots and / or text extracted from the screenshots. A full text index of a relational database may also be populated with text extracted from the screenshots. The embeddings and full text index may then be used to retrieve screenshots in response to a user history query. For example, screenshots of embeddings within a defined distance of an embedding of the user history query may be selected. Query results from different embedding indices and relational databases may be ordered by applying different weights to different kinds of search scores.

The invention discloses a Gis-based reservoir dam site and reservoir capacity optimal selection calculation method. The method comprises the steps of obtaining and preprocessing DEM data and river vector data of a target area; setting an initial dam site, and adjusting the axis of the initial dam site to be perpendicular to the river channel by using the trend model; calculating reservoir capacities and submerging ranges of the dam site at different water levels; constructing and applying a dam site translation function, and automatically and systematically generating a series of candidate dam site sequences along the upstream direction of a river; the storage capacity and submerging range of all the candidate dam sites under all the water levels are calculated in batches, and a quantitative decision matrix is formed; and finally, based on the calculation data, by taking the maximum storage capacity and minimum submerging and the maximum storage capacity submerging ratio as optimization objectives, automatically and optimally selecting a storage capacity priority scheme and a comprehensive optimal scheme. Objective and systematic search and multi-target quantitative optimization of dam site selection are achieved, subjectivity and limitation of a traditional method depending on experience are effectively overcome, and scientificity and decision-making quality of reservoir planning are remarkably improved.

This relates generally to providing search results using a digital assistant based on a displayed application. This application includes methods directed towards accessing application searches if a search user interface is displayed and using a system search if on another user interface of the application. The application further includes methods for performing a search using an application based on keywords exclusive to an application. The application further includes methods for performing a detailed search using a specific application when selecting an affordance in a first set of search results.

Without making any changes to existing servers, we eliminate duplicate past cases during the search phase while finding past failure cases related to the diverse failure patterns that may occur with the new features. [Solution] The support device, which connects to a system that stores past system development cases to assist in system development, includes a current node identification unit that identifies the current node to be searched based on a basic design input from an external source, a specific condition creation unit that creates conditions for determining modifications related to the identified current node, a query creation unit that creates a search query to query the system, a search unit that passes the search query to the system and receives the search results, an exclusion condition creation unit that identifies modification patterns based on the search results and creates exclusion conditions to avoid duplication in subsequent searches using the modification patterns, a next node selection unit that selects the next node to be searched after the current node, and a current node switching unit that sets the next node as the next current node.

A search system: acquires a query for searching for a desired item; generates an image using the query and a trained machine learning model; and searches for the item based on the image.

An industrial controller supports deterministic execution of control programs (e.g., ladder logic, function block diagrams, structured text, or other such control code) and is also capable of executing non-deterministic execution cycles, including mathematical optimization algorithms—in which a systematic search in a solution space is performed to identify a desired solution—or machine learning algorithms, either of which can be used by the controller to dynamically update the deterministic control program or code based on current or predicted states of the automation system being controlled by the controller.

A method for performing a search using an input device that triggers a search function and automatically connects to a search platform is provided. [Solution] This method is executed on a host computer 100 connected to input devices 101 and 102, in which a search target is selected on the input device, a search description is generated on the host computer, and an identifier corresponding to a search engine is retrieved from the memory of the input device. The search target, search description, and identifier are then packaged to generate a search package, which is then transmitted via the Internet to a search engine corresponding to the identifier, and a search is performed in the search engine based on the search target and search description in the search package to obtain search results.

A retrieval system disclosed herein acquires a search condition related to a candidate downstream substance characteristic that is a characteristic of a candidate downstream substance that is a substance obtained in a downstream process of manufacturing, extracts one or more data records corresponding to the search condition from a database storing a plurality of data records indicating a combination of the candidate downstream substance characteristic and a related physical property that is a physical property related to the candidate downstream substance characteristic, sets a related physical property indicated by one data record selected from the extracted one or more data records as a retrieval target, acquires, for each of two or more candidate upstream substances that are substances used in an upstream process of manufacturing, a candidate upstream substance physical property that is a physical property of the candidate upstream substance, and executes an optimization method using the retrieval target and the candidate upstream substance physical property of each of the two or more candidate upstream substances to determine a blending ratio between the two or more candidate upstream substances.

The invention pertains to the field of computer implemented or computer aided methods for systematic search (contrary to trial and error) for materials (material science, material informatics) in relation to structural / mechanical properties and preferably both radiation shielding and structural / mechanical properties.

A search system: acquires a query for searching for a desired item; generates an image using the query and a trained machine learning model; and searches for the item based on the image.

The application provides a low-voltage power distribution area identification method and system, searches for area concentrators close to each area concentrator, and establishes a close relationship between each other; determines the gray list users of each area concentrator based on the white list users of each area concentrator with a close relationship; determines the area concentrator to which each gray list user belongs according to the number of users communicating with each gray list user, and sets the gray list user as the white list user of the area concentrator to which the gray list user belongs, so that the sending device is not needed to be installed on the user side, the identification cost is greatly reduced, and the security is improved; the corresponding number of users is obtained through the A-area user gray list and the B-area user gray list, so that the identification efficiency and the identification accuracy are greatly improved; each user in the user gray list respectively communicates with all the users in the white list of the current area and the adjacent area users based on the power line carrier in turn, so that the user determination problem in the user gray list is solved, which is simple and easy to implement, and the time cost and the labor cost are saved.

We provide technology that supports product searches in digital catalogs. [Solution] The search system 100 includes a digital catalog system 120 capable of posting catalogs of multiple products, a UI 802 that sets one or more areas in each of the multiple product catalogs and enables specification of one or more pieces of attribute information included in the one or more areas, a data extraction unit 804 that extracts one or more pieces of attribute information from each of the multiple product catalogs as structured data 700, a product DB 850 that stores the structured data 700 for each of the multiple products, and an interaction IF 110 that interacts with a generation AI 130. The interaction IF 110 inputs a question received from a user to the generation AI 130, obtains from the generation AI 130 one or more keywords related to the one or more pieces of attribute information included in the question, searches the product DB 850 using a search key including the one or more keywords, and outputs information on one or more products included in the search results.

An industrial controller supports deterministic execution of control programs (e.g., ladder logic, function block diagrams, structured text, or other such control code) and is also capable of executing non-deterministic execution cycles, including mathematical optimization algorithms—in which a systematic search in a solution space is performed to identify a desired solution—or machine learning algorithms, either of which can be used by the controller to dynamically update the deterministic control program or code based on current or predicted states of the automation system being controlled by the controller.

A system and method permit users to selectively search for, and identify short segments (called snippets) of music. The user may enter one or more search terms for which they are searching within a database of musical selections. Once the search terms have been defined, the user initiates the search by selecting the search button. The system searches for one or more of the musical selections that most closely match the user's search parameters, and returns those musical selections as search results back to the user. The user then selects one of the results of the search that they like best. Once the selection is made, the user may input recipient information for the person to which they would like to send this musical selection. This musical selection may then be sent to the recipient by the system.