140 results about "Smart applications" patented technology

The invention discloses a hand-eye coordination and attention evaluation method based on a mobile phone, and relates to the technical field of man-machine interaction and user behavior evaluation, and the method comprises the following steps: S1, in the process that a user executes a symbol matching test task of a mobile phone terminal, obtaining a heart rate variability sequence and an operation sequence interruption frequency, filtering and segmenting the pupil diameter change and the brain wave rhythm to obtain an original feature set; according to the hand-eye coordination and attention evaluation method based on the mobile phone, the continuity, reliability and objectivity of an evaluation conclusion are improved, the method is suitable for cognitive evaluation, man-machine interaction analysis and related intelligent application scenes, and the scientificity and practical value of hand-eye coordination and attention evaluation based on the mobile phone are improved.

The invention discloses a detachable glasses leg interface assembly, a connector assembly, a detachable glasses leg and an earphone, the interface assembly comprises an interface assembly body and an interface arranged on the interface assembly body, the interface comprises a magnetic attraction seat and a base, and the magnetic attraction seat is arranged on the base. The detachable structure capable of realizing quick insertion and extraction between the front frame and the glasses legs of common glasses can be realized, so that the front frame and the glasses legs can be produced in a labor division manner, the common glasses and the intelligent glasses legs are promoted to be subjected to batch and systematic production according to a detachable standard, the production efficiency and large-scale application of the intelligent glasses are effectively improved, and the production cost is reduced. The front frames and the glasses legs of various types, which are produced according to detachable standards, can be freely adapted, so that high interchangeability is achieved, social resources are saved, and the economic burden of consumers is reduced; particularly, a more convenient scheme is provided for people with glasses wearing requirements such as myopia, hyperopia and the like to upgrade common glasses into intelligent glasses, and intelligent application upgrade of the common glasses can be expanded.

The invention relates to the technical field of internet data services, and particularly discloses a multi-graph hidden danger prediction method based on retrieval enhancement and full-graph sub-graphs. The method constructs a complete technical closed loop from data preparation, model training to intelligent application by combining external knowledge retrieval, multi-granularity visual perception and hierarchical reasoning, and specifically comprises three core stages: firstly, automatically constructing a high-quality field specific training data set by using a pre-training large model; secondly, specialized cultivation of a lightweight target multi-modal large model is carried out through supervised fine tuning and reinforcement learning alignment; and finally, introducing'full graph-sub graph 'multi-vision input and regulation knowledge retrieval enhancement in a prediction stage, performing hierarchical reasoning, and outputting a structured hidden danger report.

The invention discloses a fire-fighting spatial-temporal trajectory data processing and off-line data warehouse construction method based on a stream batch fusion architecture, and relates to the field of digital fire fighting, and the core steps of the method are as follows: after multi-source data are collected by an edge gateway, high throughput distribution and storage are realized by Kafka; real-time optimization such as track cross repair and offset correction is completed through Flink streaming calculation; performing offline batch processing on the historical data by the Spark to generate an analysis result; generating an optimal rescue path through a distributed Dijkstra algorithm in combination with road topology, real-time traffic and fire fighting truck parameters; the method comprises the following steps: realizing mixed storage by adopting ElasticSearch secondary index and HBase total storage; based on hot and cold data hierarchical management, intelligent applications such as fire-fighting commanding and dispatching, battle comment and review and the like are supported. Practice verifies that the method can shorten the fire control time of the main urban area by 60%, significantly improves the fire emergency response capability, and is suitable for large-scale fire track data scenes.

The invention discloses an enterprise-level agent system and a data processing method. The system mainly comprises a sensing module, a memory module, a planning module, a Routine agent planning engine, an arrangement engine and an execution module. According to the enterprise-level agent system provided by the embodiment of the invention, short-term memory, long-term memory and enterprise-level memory are combined through a complete closed-loop architecture of the sensing module, the memory module, the planning module and the execution module, and precipitation of personalized and organization-level knowledge is supported; and meanwhile, in combination with a standard business process template provided for an enterprise by a Routine agent planning engine and splitting of a task process by an orchestration engine, role agents are allocated for each sub-task, so that coordination and cross-system orchestration of complex tasks are realized, the construction threshold of intelligent applications is reduced, and the business efficiency is improved.

The invention belongs to the technical field of ancient book digital processing, and discloses a training knowledge-fused ancient book word sense disambiguation deep learning method, which comprises the following steps of: constructing a training knowledge graph; preprocessing ancient book image texts; constructing a deep semantic disambiguation model fusing training knowledge; word sense disambiguation reasoning and result output; and system integration and intelligent application interface design. The high-precision word sense disambiguation method oriented to ancient books and texts is constructed by fusing training knowledge and a deep learning technology, so that the recognition capability of complex semantic phenomena such as polysemy words, ancient and modern heterosemy and common and false characters is remarkably improved, the interpretability and field adaptability of the model are enhanced, the dependence on manual training is reduced, and the training efficiency is improved. The method realizes efficient understanding and intelligent processing of the semantics of the ancient books under the condition of low resources, and has good popularization and application prospects and culture inheritance value.

The invention provides an intelligent port and navigation AI application system under digital twin enabling, and belongs to the technical field of artificial intelligence application systems. The system comprises an inland river exclusive AI model module, a strong noise voice interaction module, an instruction-scene mapping interaction module and a digital twinborn fusion module. And the inland river exclusive AI model module is used for realizing real-time sensing and accurate decision-making of the navigation channel situation. According to the system, an inland river exclusive AI model module, a strong noise voice interaction module, an instruction-scene mapping interaction module and a digital twinborn fusion module cooperate with each other; real-time sensing and accurate decision making of channel situations, effective voice interaction in a strong noise environment, accurate mapping of voice instructions and virtual scenes and fusion of a high-precision channel model, meteorology and monitoring are achieved, and the problems that traditional inland river shipping management is low in efficiency, inconvenient to interact and poor in scene restoration degree are effectively solved through the design. And the inland river shipping efficiency is improved, the navigation safety is guaranteed, and the operation cost is reduced.

The present invention relates to an artificial intelligence application development system for enabling easy development of an artificial intelligence application on the basis of graphics. The artificial intelligence application development system according to the present invention comprises: an IDE providing device (1) for providing an IDE through which a developer can develop an application in a graphic base; and a storage device having a node library and a project library. The IDE providing device (1) includes a user interface (20) which enables a developer to generate a flow graph by using nodes and edges, wherein the user interface (20) includes a node calling means for enabling the developer to call the nodes to a workspace and an edge connection means for connecting the edges for setting a process flow or a data flow between the nodes. In addition, the IDE providing device (1) comprises a hyperparameter engine (13) for setting hyperparameters for the nodes and a flow-graph engine (12) for interpreting and executing the flow graph.

This utility model provides an industrial internet network operation and maintenance training platform, including a training platform, a network module, an intelligent application module, and a network management terminal. The training platform includes an open vertical platform and a horizontal platform. The network module is located on the vertical platform and is used to realize network data communication between the intelligent sensing module and the network management terminal. It includes a security network, a backbone network, and a production network arranged sequentially from top to bottom. The intelligent application module is located on the horizontal platform and is used to build various industrial internet application scenarios and collect data. The network management terminal is located on one side of the training platform and is used for network debugging and network management. The network module, intelligent application module, and network management terminal are interconnected to realize practical training in various industrial internet application scenarios. This utility model adopts an open structure with a clear network structure hierarchy, which facilitates practical training; it can also build various industrial internet application scenarios, providing rich teaching application scenarios.

The application discloses a kind of organic silicon composite functional materials and its wireless monitoring system and method for intelligent application, the interface film includes by outer to inner sequentially stacked anti-fouling and wetting-resistant surface layer, hydrogen bond enhanced dynamic adaptive layer and inorganic filler modulus enhanced protective layer.Anti-fouling and wetting-resistant surface layer is composed of organic silicon elastomer composite material, hydrogen bond enhanced dynamic adaptive layer is introduced by blending in organic silicon matrix into the modified component containing urea group and the like can form hydrogen bond functional group, and inorganic filler modulus enhanced protective layer is introduced by inorganic filler such as barium titanate to improve modulus and compression resistance.The interface film is integrated with pressure sensor module, wireless communication module and host computer system, to form a complete wireless pressure monitoring system, realize real-time transmission of pressure signal, visual display, threshold alarm and data management.The application is suitable for wearable health monitoring, medical care, child companion guardianship and robot touch and the like fields.

The application provides a digital twin architecture of a network, a network session processing method and device, the method comprising: a data acquisition and control entity configured to acquire characteristic data of a physical network corresponding to a virtual network; a core entity connected to the data acquisition and control entity, configured to construct a network-related model corresponding to the physical network according to the characteristic data acquired by the data acquisition and control entity, the network-related model being configured to perform convergent processing on a network session event; and a user entity connected to the core entity, configured to visually display the network based on the network-related model. In the embodiment of the application, the digital twin architecture comprehensively uses perception, calculation, modeling, simulation and other technologies, realizes virtual-real mapping and interaction, can fully train and efficiently simulate more intelligent applications with high error cost, reduces the risk generated when a new technology is verified in a physical space, and reduces the possibility of errors occurring when the new technology is deployed in a real environment.

The method for fine-grained computing task division and scheduling of multi-intelligent application of the application divides the interrupted intelligent application into five types of subtasks, including data preparation, model preparation, hardware resource preparation, inference and result post-processing. According to the subtask attribute inheritance principle, the attribute five-tuple of each subtask is determined. All the interrupted intelligent application subtasks are input into the subtask scheduling sequence generation algorithm, the subtask application scheduling sequence is calculated, and the subtask scheduling sequence is added to the application scheduling sequence. Through the task division and subtask scheduling method, the problems of low resource utilization and high multi-task execution delay in the airborne environment are optimized. The multi-intelligent application collaborative operation process is optimized based on the intelligent application scheduling algorithm and the subtask scheduling algorithm.

Techniques are described to providing security of artificial intelligence of things (AIoT) device (s). An example wireless communication method comprises receiving, by a unified data management (UDM), one or more device identifiers of one or more first type of wireless devices and one or more identifiers of one or more second type of wireless devices, where each device from the first type of wireless devices and the second type of wireless devices has a single identifier; and storing, by the UDM, a mapping of the one or more device identifiers and the one or more identifiers.

The invention discloses a test data analysis AI large model agent construction method, system, device and medium, and belongs to the technical field of artificial intelligence application. The method comprises the following steps: constructing a basic support library comprising a tool library, a knowledge library and a case library; constructing a multi-agent collaborative system consisting of a case matching agent, a code generation and execution agent and a visual drawing agent; and integrating and constructing test data analysis agents, and configuring the agents to cooperatively work to execute tasks. According to the method, a case matching agent is configured to execute gradient case reuse based on semantic similarity, a code generation and execution agent is configured to realize automatic capture and closed loop repair of code execution errors, and an iterative optimization closed loop based on user feedback opinions is configured. According to the method, autonomous planning and efficient execution of complex test data analysis tasks can be effectively achieved, the code generation quality and success rate are remarkably improved, and end-to-end intelligent data analysis and visualization services are provided for users.

The invention provides a control method, system and device of intelligent equipment, equipment and a storage medium, and the method comprises the steps that a first control chip responds to a first control instruction, generates a second control instruction for the intelligent equipment, and controls the intelligent equipment according to the second control instruction; when the intelligent device is controlled according to the second control instruction, if a wake-up event for the second control chip is triggered, a control optimization request is sent to the second control chip; the second control chip is used for generating a third control instruction in response to the control optimization request; and receiving the third control instruction, and controlling the intelligent equipment in response to the third control instruction. Compared with a method of directly replacing an MCU chip or relying on a cloud to improve the stability of the system, the method can improve the local computing power to support intelligent application on the basis of reserving the single master control reliability of the system, and meanwhile, ensures that the basic control function is never interrupted.

The application discloses a sewage treatment plant artificial intelligence application management and control method and system based on a multi-modal model, and relates to the technical field of sewage treatment automation control.The application collects water quality, a process, water quality and energy consumption data of a sewage treatment plant systematically, and combines a dynamic relationship of mechanism variables in an ASM model to construct a cross-modal graph and perform feature fusion, so that operation parameters and mechanism variables can be accurately aligned and nonlinear dependence relationships can be described, thereby enabling high-precision prediction of key operation parameters and water quality indexes in a future period on the basis of a fusion graph, and providing an optimization calculation basis for control strategies such as an aeration amount, a reflux ratio, a reagent dosage and a residual sludge discharge amount, so that a sewage treatment plant can realize multi-objective collaborative optimization, stable water quality, intelligent process control and effective energy consumption reduction, and overall operation efficiency and environmental governance level are significantly improved.

Disclosed are a resource scheduling method, an electronic device and a storage medium. The resource scheduling method may include: acquiring an intelligent application processing request acquiring current resource usage information; matching an intelligent application instance according to the intelligent application processing request and creating a task according to the resource usage information and the intelligent application instance, to process the intelligent application processing request.

Systems, apparatuses, methods, and computer program products are disclosed for intelligent in-application calling. An example method includes receiving, from a user device, a user authentication request comprising authentication data associated with a user and determining, based on the authentication data, a user authentication result. The example method further includes establishing an authenticated session with the user and generating a user activity log. The example method further includes receiving a voice over internet protocol (VoIP) request during the authenticated session and determining an agent device to connect with the user. The example method further includes establishing a VoIP call between the user device and the agent device.

This invention relates to the field of computing resource allocation technology, specifically disclosing a dynamic adaptive replanning method, system, and product for intelligent applications. The method includes: continuously monitoring at least one state dimension of a running intelligent application to obtain real-time runtime state data; based on the runtime state data, predicting the cumulative deviation cost that will result from maintaining the current execution plan within a preset time window, and estimating the one-time overhead required to perform a replanning operation; when the predicted cumulative deviation cost exceeds the one-time overhead, triggering a replanning operation on the current execution plan to invoke the global planner, and providing the real-time runtime state data as new constraint information to the global planner, thereby generating a new execution plan adapted to the current state; smoothly migrating the intelligent application from the current execution plan to the new execution plan; and improving the performance stability and resource utilization efficiency of the intelligent application.

The application provides a method and device for creating an intelligent application, electronic equipment and a medium, which can be widely applied in the field of computer technology. The method for creating an intelligent application comprises: obtaining a target requirement of a target object, and collecting training data from a target data source based on the target requirement; processing the training data through a model training scaffold of a machine learning platform to obtain preprocessed data; establishing a pre-training model through the model training scaffold of the machine learning platform, and training the pre-training model according to the preprocessed data to obtain a target pre-training model; storing the target pre-training model in a product library; and creating an intelligent application based on the target pre-training model in the product library through an agent application scaffold or an inference service scaffold of a technical platform. The application integrates a machine learning platform and a technical platform to realize the whole-process deployment of an intelligent application, which is conducive to improving the efficiency of intelligent application development.

An example near-field communication (NFC) tag device, NFC card emulation device, and a method for initializing an NFC application protocol at an NFC communication listener are provided. The example NFC tag device includes one or more applications and an NFC transceiver. The one or more applications, each include a unique application identifier. The NFC transceiver is configured to receive an application identifier polling command from an NFC reader, wherein the application identifier polling command comprises a first application identifier and transmit a second application identifier corresponding to a supported application of the one or more applications.

The invention belongs to the technical field of edge computing and cloud computing, and relates to a cross-time-scale cloud edge collaborative resource management and task scheduling optimization method. Through hierarchical reinforcement learning and a bidirectional feedback mechanism, long-term optimization of service deployment and resource allocation under a large time scale and real-time response of task scheduling under a small time scale are realized, long-term planning and short-term load fluctuation are effectively balanced, and frequent reconfiguration overhead and scheduling delay are reduced; through explicit modeling budget and physical resource constraint, it is ensured that performance and cost are considered in resource configuration, and overload is avoided; the adaptability of the system to sudden tasks and server state changes is enhanced, the resource utilization rate and the task processing efficiency are improved, and efficient and stable support is provided for edge intelligent application.

Apparatus and methods for an opt-in distributed ledger consortium to detect and prevent fraudulent transactions are provided. Two or more entities may opt into a private distributed ledger. A program may receive financial transaction information. The program may record the transaction on the distributed ledger. The program may activate a smart application on the ledger. The smart application may analyze each transaction for indicators of illegal activity. When indicators of illegal activity are found within a transaction, the program may generate a report. The program may transmit the report to each entity that has opted into the private distributed ledger. The program may also record the report on the private distributed ledger.

The present application belongs to the technical field of smart power plants. Disclosed is a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method. The system comprises a power plant cloud platform, a 6+N smart application system and a group cloud platform, wherein the 6+N smart application system acquires power plant data of the power plant cloud platform, generates management information on the basis of the power plant data, and sends the management information to the power plant cloud platform and the group cloud platform; the power plant cloud platform is connected to a power plant control system, and the power plant cloud platform performs unified processing on data in several different systems and devices in the power plant control system to form the power plant data; and the 6+N smart application system comprises a first module and a management module, the management module sending the power plant data to the first module, the first module analyzing the power plant data and feeding back an analysis result to the management module, and the management module performing predictive management on the operation of the production of a power plant on the basis of the analysis result to generate the management information. The operational efficiency, energy efficiency ratio, device effectiveness and service life of a thermal power plant are improved.

The application relates to the technical field of page interaction, and discloses a guide page display method and device, equipment and a medium, the method is applied to a device carrier carrying an intelligent application, and the method comprises the following steps: acquiring attribute parameters of the device carrier, and uploading the attribute parameters to a server; acquiring a guide page picture corresponding to the attribute parameters from the server; and determining guide page content displayed by the intelligent application based on the guide page picture. The guide page content is displayed by loading the guide page picture on the server, the work burden of developers on the adaptation of the guide page picture is reduced, the memory problem caused by multiple sets of adapted pictures is solved, the lag phenomenon in the guide page loading process is reduced, and the stability of the system is enhanced.

The application discloses a target detection method based on adaptive feature enhancement and dynamic balance learning, and belongs to the technical field of computer vision and pattern recognition. The method comprises the following steps: constructing an adaptive double-path backbone network, which comprises a main path and an enhancement path, wherein an adaptive expansion-collaborative attention module is arranged in the enhancement path and is used for dynamically enhancing features; constructing a feature pyramid network based on visual complexity; generating spatially-varying fusion weights according to local image content to adaptively fuse multi-scale features; and constructing a scene-aware dynamic balance detection head, and adopting an EIG-Focal loss function to jointly optimize long-tail distribution and difficult-easy sample imbalance problems. Under the condition that the model parameter quantity is controlled below 1M, the application achieves performance significantly superior to that of the prior art in key indicators such as small target detection and long-tail category recognition, and is particularly suitable for edge intelligent application scenarios such as unmanned aerial vehicles and mobile terminals in which resources are limited.

The invention discloses an enterprise scene-oriented intelligent application visualization construction method and system. The method comprises the following steps: creating an application instance through a system interface, selecting a corresponding type template, generating a basic configuration structural body, initializing an application workspace, and loading a default component and a configuration item; configuring the model, the cue word, human settings, knowledge, tools and dialogues, and generating a component configuration package; node parameter configuration is carried out through the visual canvas, a flow topological graph is generated according to the node parameter configuration, legality verification is carried out, and a legal flow topology is obtained; after a deployment instruction is triggered, converting the configuration information into an executable code and testing; if the test is passed, deploying the executable code to a set application environment; and if the test is not passed, optimization adjustment is carried out until the test is passed, and deployment is completed. According to the invention, the problems of high development threshold, large demand conversion loss, poor visualization tool adaptability, low integration efficiency and the like in the prior art can be solved.

The invention discloses an intelligent application recommendation and aggregation method and device based on scene perception, and relates to the technical field of mobile computing and human-computer interaction. The method comprises the steps of inputting multi-dimensional data of a current user scene into a pre-trained intention recognition model, and outputting a current task type of a user and an associated application function demand; screening application components meeting all application function requirements; constructing a cross-application API bus, and generating a data flow diagram; generating a dynamic aggregation interface through an adaptive layout engine; in the interaction process, data field change is monitored in real time, and preloading and data updating of downstream application components are triggered through an API bus; if the user leaves the current task scene, unused application components are automatically unloaded. By adopting the technical scheme provided by the invention, the task completion steps can be reduced by more than half; the cross-application data synchronization delay is maintained at a hundred millisecond level; and a multi-mode input triggering aggregation service is supported.

The invention discloses a network layer security guarantee method and system for remotely accessing an intelligent device with a body, belongs to the technical field of network security and mobile communication networks, and aims to solve the technical problem of how to prevent security threats of port scanning and brute force cracking and guarantee the security of intelligent applications with the body exposed at a public network end. According to the technical scheme, an SDK plug-in is installed on a user side in advance, the SDK plug-in of the user side is authorized, the authorization content comprises the steps that an application list is accessed, corresponding message identification information is carried when a user accesses a corresponding application on the application list, and a public network server side verifies the message identification information; if yes, allowing the user side to access the corresponding application by the public network server side; and if the verification of the message identification information fails, the public network server rejects the user side to access the corresponding application, and silently discards the application to block the unauthorized access.

This invention discloses a hybrid cloud database integration and AI enterprise agent method for SMEs, including unified storage and event collection, cross-system data exchange and standardization, version and conflict handling, lifecycle and compliance archiving, industry-specific RAG and report generation, model training and validation deployment, and providing industry-specific intelligent applications in the engineering / manufacturing field such as semantic retrieval, intelligent question answering, and business prediction based on a finely tuned AIGC large model. This invention also discloses a hybrid cloud database integration and AI enterprise agent system for SMEs, including a foundation layer, a data flow layer, and an intelligence layer. This invention adopts a hybrid cloud architecture, combining local NAS and external MaaS platforms to achieve secure local storage of core data and elastic computing power support, solving the problems faced by SMEs in the informatization construction of engineering / manufacturing scenarios, such as chaotic data management, difficult system integration, high compliance risks, difficulty in implementing AI applications, and high cloud dependency costs.