599 results about "Selection system" patented technology

The invention provides a shield intelligent auxiliary type selection system and method based on a large language model. The model selection system comprises a data input module, a rule knowledge base module, a large model reasoning module and a result generation module. The integrated decision-making system integrating a rule knowledge base, a deep learning model and expert system logic is constructed for the practical problems of complicated geological conditions, multiple rule constraints, high expert dependency and the like in shield construction, and the system combines a structured model selection rule and historical case data, and has the advantages of intelligence, standardization, self-learning, high efficiency and the like. The problems of low efficiency, high subjectivity, insufficient intelligent degree and the like of the existing shield tunneling machine model selection depending on artificial experience and partial standardized guide are solved, and the transformation of shield construction management from artificial experience to intelligent decision can be promoted.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for maintaining and restoring context for artificial intelligence chatbots. In some implementations, a system receives a user prompt from a user through a chatbot interface, and the system provides a chatbot response to the user prompt through the chatbot interface. The system provides a control that is associated with the chatbot response on the chatbot interface and is selectable by the user to cause the chatbot response to be saved. In response to user selection with the control, the system saves the chatbot response and corresponding metadata that includes context information used by the one or more AI / ML models to generate the chatbot response. The chatbot interface is configured to display the saved chatbot response a and answer a subsequent user prompt using the context information in the metadata corresponding to the saved chatbot response.

Provided are a method, a system, a storage medium, and an electronic device for selecting a combination of equipment in an elementary energy full chain that realizes the conversion and interaction of various types of energy and improves the flexibility of the energy system. [Solution] The method obtains basic technical and economic index parameters of equipment in the hydrogen energy full chain, classifies the basic technical and economic index parameters based on the performance differences of different types of equipment in the hydrogen energy full chain, performs a comparative analysis of each type of equipment in the hydrogen energy full chain according to the classification, and based on the results of the comparative analysis, comprehensively considers the performance difference indexes and operating characteristics of the equipment, establishes constraints for the classification indexes corresponding to each equipment, determines one of the classification indexes as part of the target function, finds the optimal results under different renewable energy penetration rates, and obtains a rule for selecting equipment combinations in the hydrogen energy full chain in a high-proportion renewable energy system.

The invention provides an adaptive path selection system based on GNN and multi-agent DRL, which is based on a layered multi-domain SDN architecture and comprises a root server layer, a domain controller layer and a data layer. The root server layer comprises a root server and a root agent, and the root agent is used for calculating a global routing path strategy and optimizing and adjusting a routing path according to feedback of a local network domain. And the root server distributes the routing path to a domain controller layer according to a routing path strategy to carry out routing path forwarding and adjustment of a local network domain. The domain controller layer comprises a plurality of domain controllers and domain intelligent agents, the domain controllers construct a topological structure composed of boundary switches, and a routing decision is made in a local domain according to an optimal global routing path strategy. And the domain intelligent agent performs modeling analysis on the topological structure by using a deep reinforcement learning algorithm in combination with a graph neural network to realize intra-domain path selection. And the data plane layer feeds back the network topology information to the domain controller, and receives and executes a routing decision sent by the domain controller at the same time.

Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

An automated packing system is disclosed for placing a plurality of objects into a shipping container. The system includes a supply bin receiving conveyor for receiving a supply bin at a supply station, a destination container location assessment system for positioning a destination container, a detection system for detecting a plurality of objects within the supply bin responsive to the position of the supply bin on the receiving conveyor as aligned by the alignment system, an object selection system for selecting a selected object from the plurality of objects to be placed into the shipping container, and a programmable motion device for grasping and acquiring the selected object from the plurality of objects at the supply station, and for placing the selected object into the shipping container in a selected orientation.

Systems and methods for generating user-specific textual and image-based outputs, in response to a user query, for provision of a matching item are disclosed herein. For example, the system may receive a query that includes a textual description. The system may retrieve a user profile for a user associated with the query. Based on the query and the user profile, the system may generate outputs and images using a machine learning model. Based on the outputs, the system may generate graphical representations. The system may receive a selection of a graphical representation. Based on the selection of the graphical representation, the system may enable access to an item that corresponds to the graphical representation.

The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output,? AI model(s) generating the expected output from the input, and / or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output, AI model(s) generating the expected output from the input, and / or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

Embodiments of a content recommendation or selection system are described. The system uses a pipeline of machine learning models to select content for a user. In embodiments, a first user model generates a first score of content categories for the user based on short-term user data. A second user model generates a second score of the categories for the user based on long-term user data. The two scores are combined to select the categories to include on the content user interface. In embodiments, new categories are added to the recommendations based on an exploration-exploitation algorithm. In embodiments, content categories are organized on the user interface in a manner to promote neighborhood diversity. Advantageously, the machine learning pipeline enables independent configurability of various objectives of the content recommendation or selection system and reduces the amount of machine learning resources needed to implement the system.

The invention discloses a compact multipurpose proton beam system, belongs to the field of radiotherapy, and solves the problem that a treatment terminal of an existing proton beam system is single in type and not compact enough. The superconducting isochronous cyclotron system is connected to the two-way selection system through the beam adjusting system, the two-way selection system comprises a two-way dipole magnet and two branch selection systems, and the two branch selection systems are connected to the rear end of the two-way dipole magnet in parallel. The system also comprises a beam transport system, and the beam transport system is composed of a first treatment terminal section, a second treatment terminal section and a third treatment terminal section. One branch selection system is connected to the fixed experiment beam transport system through the first treatment terminal section, the other branch selection system is connected to the fixed pen-shaped beam transport system through the second treatment terminal section, the third treatment terminal section is a branch of the second treatment terminal section, and the third treatment terminal section is connected to the rotary beam transport system. According to the invention, the beam irradiation of the multi-type and multi-purpose treatment terminal is realized by utilizing the design of a bidirectional selection system.

The invention provides a DMP-based crowd selection method and apparatus, and an electronic device, a data management platform pre-processes multi-source user data, generates user features corresponding to the pre-processed data based on a preset rule, converts the obtained user features into user tags based on a pre-constructed tag system, and sends the user tags to the user management platform; the method comprises the following steps: acquiring a user tag, storing the acquired user tag in a distributed storage mode, displaying the stored user tag through an operation interface, converting a circling operation for a target user tag displayed on the operation interface into a rule tree, and circling a target user corresponding to the target user tag based on the rule tree. And associating the circling result with the identification information of the target user corresponding to the circling result to generate a crowd packet, and expanding the obtained crowd packet by adopting a similar crowd expansion algorithm. According to the invention, the problems of complex rule configuration, insufficient real-time performance, limited expansibility and the like of a DMP-based crowd selection system in the prior art can be solved.

The invention relates to the technical field of water affair management, and discloses a modularization-based intelligent water affair light application rapid building system, which comprises a template library management module, which is used for storing and managing a plurality of preset function templates, and each function template is used for executing a specific function in water affair management; the parameter configuration module communicates with the template library management module and is used for performing parameterization configuration on the selected function template according to user requirements, and the parameterization configuration comprises data source configuration, operation parameter setting and output option selection; and the system combination and deployment module is used for combining the function templates subjected to parameterization configuration into a complete application system, and deploying the application system into a running environment through a containerization technology and a Kubernetes arrangement tool. Through modular design and template library management, the system can be rapidly configured and deployed according to different water affair management requirements, the construction time of the system is greatly shortened, and the system adapts to rapidly changing business requirements.

Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support intelligent model selection for style-specific digital content generation. For example, a system that provides a digital content generation service may include a trained style detection model may receive reference digital content items from a user and extract a user style embedding that represents a style preference of the user. In some implementations, the reference digital content items may include text documents or images provided or selected by the user. The system may compare the user style embedding to a plurality of model style embeddings that each correspond to a respective generative artificial intelligence (AI) model to generate a ranked list of generative AI models. The system may access one or more highest ranked generative AI models from the ranked list to generate novel digital content based on a prompt from the user.

Systems, computer program products, and methods are described herein for implementing parametric optimization analysis for resource selection. The present invention is configured to determine a first set of requirements associated with a resource exchange agreement; identify one or more non-fungible tokens (NFTs) for one or more categories of past resource exchange agreements based on at least the first set of requirements; extract, from the one or more NFTs, one or more resource descriptors associated with one or more past resource exchange agreements in the one or more categories; predict, using a machine learning subsystem, an optimal resource valuation model for one or more resources that meet the first set of requirements using the one or more resource descriptors and the first set of requirements; and transmit control signals configured to cause a first end-point device to display the optimal resource valuation model.

The invention discloses a logging underground battery selection device, which belongs to the technical field of petroleum underground operation, and comprises a main framework, a battery selection module is arranged outside the main framework, and a rib frame is arranged on one side, far away from the battery selection module, of the outer part of the main framework. According to the invention, the dual-battery selection system, real-time monitoring, intelligent switching and balanced maintenance are adopted, so that the batteries can continuously and stably supply power in a complex and changeable underground environment, and the problems of unstable energy supply and limited cruising ability of a traditional single-battery power supply system are solved; according to the double-battery selection system, by optimizing battery combination and selection strategies, efficient utilization and backup of energy are achieved, the energy requirement of underground equipment under long-time and high-load operation is met, the operation efficiency is improved, the operation safety is enhanced, simultaneous selection and optimization of two sets of batteries are achieved, and the energy utilization rate of the underground equipment is increased. Therefore, the stability and reliability of underground operation are improved.

The invention relates to the technical field of enterprise risk prediction, and discloses a transnational enterprise habitat selection system based on an ESG perspective, and the system comprises a habitat factor collection module which obtains and collects habitat factor data of three dimensions of climate, soil and biology through the Internet; the enterprise habitat prediction module collects habitat factors of three dimensions to perform index weight calculation, predicts to obtain habitat suitability values and sorts the habitat suitability values; the database is used for storing various data and enterprise habitat selection results. The invention also provides a habitat selection method, and habitat factors and secondary indexes are constructed from three dimensions of climate, soil and organisms; constructing a multi-attribute decision model for transnational enterprise habitat selection; and based on an OPA-F algorithm, determining the weight of the second-level index so as to obtain a habitat evaluation result of the transnational enterprise. Decision basis and reference are provided for an enterprise to select a target country, and a quantitative evaluation model is provided for market layout and competitive situation of transnational enterprises from a macroscopic perspective.

The invention discloses a control method and system for a nonlinear discrete generalized switching system with edge-dependent average residence time, and a storage medium, relates to the technical field of switching system control, and aims to solve the problems that according to an existing method, a switching signal is modeled to have average residence time or modal-dependent average residence time, the edge-dependent characteristic of the switching signal is ignored, and the reliability of the switching signal is poor. Therefore, the problems of conservative controller design, stability of the system and performance reduction of a closed-loop system in the face of a switching system with directed residence time characteristics are solved. Comprising the following steps: step 1, constructing a discrete nonlinear generalized switching system state space expression with edge-dependent average dwell time; 2, giving a condition that an open-loop system of the discrete nonlinear generalized switching system has a unique solution; 3, providing a residence time condition that an open-loop system of the discrete nonlinear generalized switching system meets exponential stability; and 4, selecting a system performance index, and designing a controller of the closed-loop system.

The invention provides an air filter type selection system and method based on carbon footprint management, and the air filter type selection system based on carbon footprint management comprises a product database module and a data simulation module. The data simulation module is connected with and calls the product database module; the invention discloses an air filter type selection method based on carbon footprint management. The method comprises the following steps: S1, establishing a product database; s2, inputting demand side information; s3, newly establishing a filter scheme; s4, selecting an energy-saving scheme; the method is suitable for a single-stage or multi-stage air filter scheme, the actual use condition of the air filter is simulated by inputting demand side information, calculation is carried out by adopting a step-by-step calculation principle, the use scheme is calculated step by step, it is ensured that final simulation data is calculated according to parameters of each stage of filter, and the calculation efficiency is improved. Total carbon footprint accounting is completed in the air filter type selection stage through data simulation, an energy-saving scheme can be derived, the application range is wide, and adaptability is high.

The invention discloses a coal mining equipment intelligent type selection system and method based on multi-parameter coupling in the technical field of mining equipment type selection. The method comprises the steps that mine geological parameters, mining technical parameters and equipment correlation parameters are received; calculating support parameters and coal cutter parameters based on mine geological parameters, mining technical parameters and equipment associated parameters; calculating parameters of the scraper conveyor based on the parameters of the coal mining machine; calculating reversed loader parameters based on the scraper conveyor parameters; calculating crusher parameters based on the reversed loader parameters; and matching the support parameters, the coal mining machine parameters, the scraper conveyor parameters, the reversed loader parameters and the crusher parameters with the equipment database, screening equipment models meeting a threshold range, and displaying a model selection result. Through the automatic and intelligent model selection design process, the problems that traditional manual model selection is low in efficiency, large in error and the like are solved, and high efficiency and precision of fully-mechanized coal mining equipment model selection are achieved.

The invention provides an anti-quantum identification signature method based on an on-lattice SIS problem. The method comprises the following steps: selecting system safety parameters and other related system parameters; generating a system public parameter and a master key by using the system security parameter and other related system parameters; generating a corresponding public and private key pair by using the user identity ID; the user generates a signature of the message by using the private key; and the verifier verifies the validity of the signature by using the system parameters and the user public key. According to the method, a lattice-based digital signature scheme is constructed by utilizing an SIS difficulty problem on a middle lattice, and quantum attack resistance security is provided for an information system for deploying the algorithm scheme; personal identity information of the user is used for registering and generating public and private keys, the key escrow problem participated by a third party is relieved, and the privacy security of the user is improved.

The invention relates to video coding, more particularly belongs to the technical field of data coding, and particularly relates to a CIM data coding method and system based on an earth subdivision grid, and the method comprises the steps: dividing a target city into a plurality of grid units through employing a preset earth profile grid, generating CIM elements of the target city, and carrying out the coding of the CIM data according to the geometric complexity of the CIM elements, setting an adaptive grid hierarchy selection system of the CIM elements to construct a mapping relationship between the CIM elements and a plurality of grid units, constructing a two-pole index architecture of the CIM elements in a space-time association storage unit by utilizing space-time composite grid codes of the CIM elements, and creating a hierarchy retrieval mechanism of the CIM elements, and in combination with a self-adaptive grid hierarchy selection system, space-time composite grid coding, a space-time associated storage unit and a hierarchy retrieval mechanism, executing data coding processing of the heterogeneous CIM data. According to the method, the retrieval efficiency and the storage quality of the CIM data can be optimized, and the use efficiency of the CIM data is improved.

The invention relates to the technical field of geothermal exploration, in particular to a deep geothermal target area selection system based on artificial intelligence. Obtaining an actual direction vector according to the first principal component vector of the exploration point in the neighborhood of the exploration point and the unit vector of the exploration point in the neighborhood and the centroid of the neighborhood; obtaining a direction consistency index according to the unit vector and the actual direction vector between the exploration point outside the neighborhood and the centroid; constructing a heat source feature sequence from the centroid along the direction of the actual direction vector, and obtaining a change rate; and obtaining a gradient consistency index according to the change rate, the distance characteristics between the exploration points outside the neighborhood and the centroid, the theoretical heat source characteristics and the heat source characteristics of the neighborhood of the exploration points outside the neighborhood. The method comprises the following steps: correcting a clustering measurement distance according to a direction consistency index and gradient consistency, and clustering exploration points to obtain an exploration point cluster; the integrity of heat source area structure analysis and the accuracy of geothermal target area selection are improved.

The invention relates to the technical field of industrial visual intelligence, in particular to an intelligent image selection and switching system fusing visual features and quality scores, which comprises the following steps: receiving multiple paths of video coding streams, inter-frame motion vectors and camera parameters; generating a macro block activeness distribution map based on the video coding stream and the inter-frame motion vector, and performing local window positioning and feature reconstruction on the video coding stream to generate an enhanced video vector; calculating a confidence coefficient mean value and a consistency score of the video coding stream according to the enhanced video vector, and fusing the confidence coefficient mean value and the consistency score with a channel transmission signal-to-noise ratio and a quantization noise increment to generate a video quality score; constructing a multi-criterion optimization model, and setting a feature representation vector for the multi-criterion optimization model; mapping the viewpoint weight based on the inner product of the feature representation vector, and calculating with the video quality score to generate a video switching score; and performing priority ranking based on the video switching score, and triggering a mapping switching instruction. And realizing video image scheduling by fusing the visual features and the quality score.

Methods, systems, and non-transitory processor-readable storage media for a test selection system are provided herein. An example method includes selecting a regression test case from a plurality of regression test cases in a software test lifecycle system. A test selection system calculates scores for regression test cases using weights assigned by an Analytical Hierarchical Process (AHP). Using the score, the test selection system visualizes a relationship between the regression test case and a target associated with the regression test job. The test selection system selects regression test cases for use in the regression test work based on the visualized relationship, and executes the regression test cases on the system.

The invention discloses a distributed grounding fault line selection system and method based on an intelligent grounding device, and relates to the field of grounding fault processing. The first current transformer is used for detecting a zero-sequence current value of a corresponding line; the preprocessor is used for acquiring a zero-sequence current value signal of the current transformer I and transmitting an alarm signal to the intelligent grounding device and the monitoring terminal; the intelligent grounding device is used for receiving the alarm signal, transferring the grounding fault current and determining the phase of the grounding fault; the monitoring terminal is used for receiving the alarm signal and controlling the opening of the circuit breaker; the intelligent grounding device comprises a controller, a first switch, a split-phase switch and a current-limiting resistor, the switches in the split-phase switch correspond to three-phase lines respectively, and the first switch is connected to the current-limiting resistor in parallel; the intelligent grounding device further comprises a three-phase switch and a grounding transformer, the input end of the three-phase switch is connected with the three-phase line, and the output end of the grounding transformer is grounded. The application has the effect of reducing the electric energy consumed by the monitoring terminal.

The invention discloses a CMIP6 climate mode comprehensive comparison and selection method and a CMIP6 climate mode comprehensive comparison and selection system, and relates to the technical field of data processing. According to the first index data, respectively calculating a first index score of each climate mode for the simulation capability of one meteorological element and a second index score of each climate mode for the simulation capability of another meteorological element, and averaging the sum of the first index score and the second index score corresponding to each climate mode; obtaining a comprehensive index score corresponding to each climate mode; according to the comprehensive index scores from large to small, a preset number of climate modes are selected from all the climate modes in sequence, and the climate mode selection process comprehensively considers the simulation effect of all the climate elements when the different climate elements are simulated; therefore, a better simulation effect can be achieved when the selected climate mode simulates different meteorological elements.

Systems and methods that communicate, to a streaming device, data that results in a display device of the streaming device displaying first information associated with a first game being approved to be wagered on with fiat currency in a first jurisdiction and a second game not being approved to be wagered on with fiat currency in the first jurisdiction. Responsive to a selection of the first game or the second made via the streaming device, the systems and methods enable / not enable a first client device located in the first jurisdiction to place / not place a fiat currency wager in association with a play of the selected game displayed by the streaming device.

The invention discloses a power transmission and transformation line selection system based on satellite remote sensing and geographic space data, belongs to the field of power grid construction, and is used for solving the problems of how to accurately reflect terrain details by using data acquired by satellite remote sensing and data acquired by geographic space and how to finally ensure data quality. The system comprises a data acquisition module, a data preprocessing module, a line selection model construction module, an intelligent line selection module, a scheme evaluation and optimization module and a result output module. According to the invention, a perfect line selection model, dual-data fusion and a perfect data acquisition module and a line selection model construction module are constructed. More flexible and comprehensive influence factor evaluation is realized, the potential value of data is mined, the intelligence and adaptability of the line selection system are further improved, and the line selection result better meets the actual engineering requirements.

The present invention relates to the technical field of turbine disc processing, and specifically discloses a dual-station interactive platform matching system based on a multi-intelligent system, including a turbine disc specification module, a broach performance module, a broaching process module, a broach management module, a tool magazine module, a data matching module, a cycle module, a dual-station collaboration module, and a step execution module; the present invention records and matches turbine discs, broaches, and broaching processes, and workers only need to input broaching requirements, and the system can automatically plan broaching tasks, and use dual-station collaboration to perform broaching operations, significantly reducing manual intervention and improving the level of automation; it also optimizes the operating steps of the broaching machine and improves the work efficiency of the broaching machine by planning step cycles and limiting the adopted collaboration mode, while using an asynchronous replacement mode to reduce the waiting time for replacing the broach, thereby reducing the impact of replacing the broach on work efficiency, allowing the broaching machine to maintain efficient operation, shortening the production period, and better meeting actual production needs.