104 results about "Open data" patented technology

An AI-powered augmented reality (AR) system for optimizing product placement and customer loyalty. The system includes: • a user interaction data collection unit configured to monitor consumer behavior in real time in any retail scenario (point-of-sale POS, online e-commerce and shopping areas within a public virtual technology space), with the unit analyzing consumer movement patterns, engagement metrics, eye-tracking and purchase intent; • an intelligent spatial mapping module to build a contextual understanding of high-traffic zones, underutilized areas and high-quality product placements using heatmap analysis, other spatial computer algorithms and the live movement of consumers; • A model-based product placement recommender based on machine learning, which uses one or more DL-based predictive models trained by importing current sales data, historical text interaction data, and consumer preference data to suggest optimal product placement so that customers see the advertisement and are likely to click through it to ensure a conversion. • a customer-centric, real-time AR visualization interface configured to allow customers to experience digitally enhanced product presentations directly via mobile AR applications, smart glasses, or in-store digital kiosks, enabling customers to preview product placements, rotate and resize objects, and visualize interactive advertising content before purchasing; • a customized advertising and sales promotion engine configured to generate augmented reality-based marketing content and provide users with tailored promotions and interactive ads based at least in part on an analysis of consumer sentiment by the system, as well as information on location data or consumer interaction history, wherein the customized advertising and sales promotion engine personalizes the configuration instructions for advertising and sales promotion to encourage consumer interaction and achieve higher sales revenues; • A secure, cloud-based data processing and analytics unit that uses an automated engagement model to link online and in-store sales information with established activity models for product placement decisions. The unit leverages AI-powered consumer insights to continuously recommend product placement changes based on a variety of programmatic retail trends; • a privacy-friendly AI module based on federated learning and on-device AI processing, providing consumer behavior analytics while complying with global data protection regulations and preventing the use of open data; • a processing framework characterized by a low-power mode suitable for AR rendering and AI calculations, and implemented via dynamic voltage scaling and energy management techniques for seamless and sustainable operation; The system according to claim 1, wherein the user interaction data capture unit further comprises an eye-tracking and sentiment analysis sub-module, wherein the sub-module detects facial expressions, emotional reactions, and attention levels of consumers in real time to determine the effectiveness of product placements and advertising strategies.

The invention provides a city industry interaction influence prediction method and system based on cross-domain knowledge fusion, and belongs to the field of data analysis and knowledge management, and the method comprises the steps: S1, collecting industrial Internet of Things data, industry data, open data and related academic literature data, carrying out the extraction of entities and relationships of the data, and carrying out the extraction of the entities and relationships of the data; constructing a multi-source knowledge graph and constructing an industrial fusion knowledge graph; s2, based on the industrial fusion knowledge graph, constructing an industrial dynamic interaction graph to perform modeling on industrial interaction; complementing and dynamically embedding the industrial dynamic interaction graph by using a graph neural network; s3, for the industrial dynamic interaction diagram, identifying an industrial cluster through a clustering and path analysis method, and mining an interaction mode of the industrial cluster; and based on historical industry data and dynamic embedding, predicting by using a residual MLP to obtain an interactive influence prediction result among different industries in a future time period. The method provided by the invention provides a scientific basis for industrial policy making, resource allocation and cross-industry collaboration.

The invention discloses an automobile and accessory price risk management system based on an open data container. The system comprises the following steps: S1, collecting data in real time to generate a multi-dimensional data set; s2, preprocessing and storing the multi-dimensional data set; s3, constructing a dynamic multi-dimensional data model based on the multi-dimensional data set; s4, according to the multi-dimensional data set, automatically adjusting the weight and parameters of the dynamic multi-dimensional data model by adopting a long short-term memory network algorithm, and generating risk prediction information; s5, analyzing and identifying potential price risks based on the real-time multi-dimensional data set and the risk prediction information, and generating early warning information; and S6, risk level evaluation is performed on price fluctuation based on the early warning information, and a risk level report is generated. The method has the advantages of being high in dynamic adaptability, high in data processing capacity, high in prediction accuracy and high in response speed.

The invention provides a communication method and a communication device, which can realize that a communication network provides an open data storage service for a user and third-party equipment, so that a terminal or the third-party equipment can store / publish equipment identity information in the communication network, and can be applied to a communication system. The method comprises: a first device obtaining a first request message; the first request message is used for storing equipment identity information. And the first device sends a first request message to the first shared device. The first shared device is a network element in a communication network.

The invention relates to the technical field of solid state disks, and discloses an optimization method and device for SSD open data block timeout check, computer equipment and a storage medium. The method comprises the following steps: traversing all open blocks one by one to obtain a next open block; obtaining the temperature of the current SSD, and querying a corresponding data retention coefficient; calculating according to the data retention coefficient to obtain a timeout accumulated record value of the open block; judging whether the overtime accumulated record value of the open block exceeds a processing threshold value or not; and if the overtime accumulated record value of the open block exceeds a processing threshold, triggering open block processing to obtain a processing result. According to the method, the SSD temperature is introduced to correct the timeout time of the open block, the time accuracy of timeout processing can be improved, and write amplification caused by open block processing is reduced as much as possible on the premise of avoiding the data retention problem.

The invention discloses an intersection element security calculation method and system oriented to data opening and sharing, and the method comprises the steps: enabling a participant to generate a Bloom filter through employing a privacy data set when the participant operates the intersection element security calculation for the first time, and generating a public key encrypted Bloom filter through employing a public key of a threshold public key encryption system meeting the homomorphism of addition. Secondly, based on the similarity between the Bloom filter and the counting Bloom filter, when the data set of the participant is updated, the counting Bloom filter of the local cache can be efficiently updated firstly, then the Bloom filter encrypted by the public key is updated by using a more efficient homomorphic addition, and the participant not updating the data set does not need to re-encrypt the data set any more. The multi-party security comparison protocol only needs to be operated in cooperation with the participant playing the server, so that multiplexing of the data set encrypted by the public key is realized on the premise of not influencing the protocol security. The system comprises a parameter confirmation module, a random selection module, a public key encryption module, a judgment module, a client updating module and a server updating module.

The invention discloses a rapid identification and grading early warning method for sensitive files of customs field mobile equipment, and relates to the technical field of electronic data forensics, and the method comprises the following specific steps: constructing a sensitive key feature library, collecting and analyzing mirror image data, fusing and judging sensitive information, and automatically generating a sensitive grading early warning and risk report. According to the method, sensitive information samples of customs law enforcement cases, supervision notification cases and compliance public data sources are collected, and accurate extraction of four modal features of images, texts, audios and videos is ensured by using a multi-modal sensitive feature extraction formula; in the preliminary screening stage, file feature vectors are compared in batches through a preliminary screening similarity calculation formula, and suspicious files are quickly marked; in the recognition stage, multi-dimensional matching is adopted for files of different formats, and recognition confidence coefficients of all modes are generated; finally, whether the to-be-detected file is a sensitive file or not is judged through a comprehensive confidence coefficient calculation formula, and the omission ratio is reduced.

The invention provides a garbage collection method and system for a solid state disk to quickly enter a steady state, and the method comprises the steps: in a process of writing data into an nand flash memory block, an open data block which is being written exists at the same time; after the solid state disk starts garbage collection, taking the open data block as a write-in target block for garbage collection; obtaining user data and effective data of garbage collection, and calculating a write-in proportion; alternately writing the user data and the effective data of garbage collection into a write-in target block of garbage collection according to a write-in proportion; the stability of the solid state disk performance is improved, the garbage collection efficiency is improved, the service life of the solid state disk is prolonged, and the user experience is improved.

The invention provides a multi-source open data-based urban carbon emission hectometer spatial distribution gridding method. The method comprises the steps of obtaining multi-source open big data of a target city, constructing a hectometer grid multi-dimensional information index and calculating the total amount of urban carbon emission; initial hectometer grid carbon emission is obtained according to the hectometer grid multi-dimensional information index and the total urban carbon emission, and initial district-level total carbon emission and initial town scale total carbon emission are obtained according to the initial hectometer grid carbon emission; obtaining a district-level reference total carbon emission amount and a town scale reference total carbon emission amount, constructing a fitness function according to the district-level reference total carbon emission amount, the town scale reference total carbon emission amount, the initial district-level total carbon emission amount and the initial town scale total carbon emission amount, and carrying out iterative solution on the fitness function by using a multi-agent genetic algorithm, and obtaining the final urban hectometer grid carbon emission corresponding to the minimum fitness function. According to the method, urban information can be comprehensively integrated to calculate the carbon emission spatial distribution pattern, and the grid precision of the carbon emission spatial distribution pattern is effectively improved.

The provided is a method for intelligent design and application of offshore wind turbine structures based on sequential knowledge distillation and transfer learning. The method includes the following steps: S1, obtaining the open data set of the offshore wind turbine structures; S2, more than three random initialization lightweight network models are obtained, under the supervision of the intelligently designed artificial intelligence regression model of the offshore wind turbine structure as the teacher model, the knowledge distillation of the lightweight network model is performed to obtain the student model; S3, transfer learning is used for the student model, and the undeclared environmental parameters, wind turbine parameters and structural design parameters of the offshore wind power commercial wind turbine of the enterprise are accessed to obtain a lightweight model for the megawatt commercial wind turbine, and the regression model with the highest accuracy is screened.

The invention provides a public data dominated urban data space system. The public data dominated urban data space system comprises a data aggregation and exchange facility and a data processing and opening facility, the data aggregation and exchange facility comprises longitudinal data application, transverse data application and government affair data application, and longitudinal, transverse and internal sharing exchange is realized through a data link center; the data processing and opening facility comprises a data resource pool, a data opening facility, a data resource registration facility, a data asset management facility and a data delivery and safety supervision facility; the data resource pool comprises a data governance and modeling tool oriented to converged longitudinal data and transverse data; the data opening facility is directly opened through a data set / API (Application Program Interface), and is used for realizing fusion, modeling and opening of government and enterprise data in a data sandbox opening mode; the data resource registration facility is used for supporting a data resource application permission issuing demand; the data asset management facility is used for solving the problem of identification and analysis of data assets and providing support of compliance analysis, cost collection and economic benefit analysis for data capitalization actions such as subsequent data asset transactions and data value-added services; and the data delivery and safety supervision facility is used for delivery application and supervision of data assets.

A method for processing abnormal data in a flash memory, an electronic device and a storage medium, relating to the field of data storage, the method comprising: when the flash memory is abnormally powered off and then powered on again, obtaining abnormal power-off information of an open data block in the flash memory, the abnormal power-off information comprising a position range where a page in the open data block has an abnormality and a block number of the open data block; writing the abnormal power-off information into a first log block and a second log block in the flash memory; wherein the first log block and the second log block are two different log blocks in the flash memory, and the first log block and the second log block are backups of each other; obtaining the abnormal power-off information when a target condition is met; the abnormal power-off information is obtained based on a target log block, the target log block being at least one of the first log block and the second log block; and performing a target operation on the open data block in a manner of avoiding the position range contained in the abnormal power-off information.

The invention discloses a data offline protection method and system. The method comprises the steps that a first server backs up target data from a data source end according to a preset first network isolation strategy, and the target data serve as first backup data; at least one second server backs up the first backup data from the first server according to a preset second network isolation strategy to serve as second backup data, and the second server is in a physical isolation state after backup; wherein the first network is configured in a way that the first server only opens the data transmission with the data source end in a first set time period, and closes the data transmission with the data source end after the first backup data is backed up; the second network isolation strategy is configured to enable the second server to only open the data transmission with the first server in a second set time period, and close the data transmission with the first server after the second backup data is backed up. Unified management, calling of services among systems and function integration can be achieved, and the equipment cost is greatly reduced.

Provided herein is a system, components, and methods for a user equipment therein operating on a first base node of a cellular network, the first base node communicatively coupled to two core networks of said cellular network, the user equipment operating in an open data exchange session by means of a data exchange context terminating in selected one of the two core networks, the user equipment further maintaining a first device identity received from said selected core network. Other embodiments are disclosed.

Embodiments of the present disclosure provide a method, a system, an electronic device, and a computer-readable medium for open data transmission of network information. The method includes: sending open service application information of network information to the network platform side, where the open service application information of network information includes service requirement information and a first target transmission mode; receiving first network information opening-related information returned by the network platform side according to the open service application information of network information; receiving the first network information opening-related information returned by the network platform side according to the first target transmission mode; where the first network information opening-related information carries first target network information opening-related information that meets the service requirement information. The technical solution provided by the embodiments of the present disclosure can implement the open technology of network information between the service platform side and the network platform side, and improve the network interaction efficiency and interaction quality.

The application discloses a kind of data service open ability intelligent management methods, belong to data management technical field;Through the monitoring record and screening analysis and effective utilization analysis of the consultation data of first user and the feedback data of second user, and according to the analysis result, the content of the corresponding position in source data is actively supplemented and updated, the exchange data utilization ability and the independent updating perfecting ability of shared open data are improved, so that subsequent users can more efficiently and conveniently understand the difficult or obscure explanation content in source data;Through the expansion statistics and analysis of the source data of the independent content update of different data fields, the requirements of subsequent different data field source data uploading can be dynamically managed;The application is used to solve the technical problems that the exchange data between users cannot be analyzed and utilized in the existing scheme, and the content of open shared source data cannot be dynamically updated and controlled.

The present application relates to a wide range of silt dam extraction method, device and storage medium based on data engineering, applied to the technical field of soil and water conservation, including: through the acquisition of open data resources including GoogleMap, 12m DEM, the cost of obtaining high-precision DEM is saved, the visible light remote sensing image is divided into a plurality of specific resolution images with geographic coordinate information, a plurality of specific resolution images with geographic coordinate information are respectively input into the pre-built silt dam detection model, the geographic coordinate information of the preselected silt dam distribution is obtained, the pre-built silt dam detection model can update the image regularly, and the silt dam extraction is automatically carried out by replacing the region, the manpower and material resources cost of field investigation and remote sensing interpretation is saved, the present application detects all suspected silt dam distribution points through the image with higher resolution first, then removes the false detection point information by using hydrological analysis and deep learning algorithm, the detection range is complete, and it is suitable for various silt dams, and the detection precision is high.

To provide a system allowing a user to easily prepare a proposal material of high quality reflecting a market trend in real time.SOLUTION: The system includes: means for a user to input information on requirements for creating a proposal material; means for transmitting the input information to a server; means for the server to analyze the input information received from the user and generate an initial proposal material using a generated AI model; means for the server to collect market information in real time from an open data source on the Internet and analyze the market information using a natural language processing technology; means for the server to update the content of the proposal material based on the extracted market information; means for the user to confirm the proposal material generated and transmit a correction instruction to the server; means for the server to update the proposal material based on a correction request from the user and generate a final version of the proposal material; and means for the terminal to provide the final proposal material to the user and the user to confirm and download the proposal material.SELECTED DRAWING: Figure 1

The invention discloses a service request processing method, device, system and equipment, a storage medium and a product, which are applied to the field of data processing, and the method comprises the following steps: receiving a service application request initiated by a first object, and obtaining a resource value of a target resource of a supervision mechanism in real time from an external preset system in response to the service application request; determining a resource value proportion corresponding to the first object, first business data of the first object, and second business data of at least one second object associated with the first object; determining a resource value threshold value of the first object based on the resource value and the resource value proportion; determining risk open data of the first object based on the first business data and the second business data; determining total risk open data of the first object according to the risk open data of the first object and the risk open data of the to-be-applied service; comparing the total risk open data with a resource value threshold value to obtain a comparison result; and determining a processing result of the service application request according to a comparison result.

The invention relates to the technical field of artificial intelligence and data processing, in particular to a data format conversion and import method and device based on artificial intelligence. The method comprises the following steps: acquiring a source data file containing a plurality of fields, wherein the names, formats or units of the fields are not uniform; analyzing semantics of the source data through a large language model (LLM) or other artificial intelligence models, and determining a mapping relation with a target data structure; deducing or complementing missing or non-direct corresponding fields, including unit or format conversion, character string analysis, numerical calculation, time conversion and deduction based on external knowledge or business rules; and generating target data meeting the requirements of the target system, and importing the target data into a database or outputting the target data as a file in a specified format. The method can be suitable for various scenes, such as reckoning the year of birth according to the age, deriving the city according to the postcode, analyzing the packaging information to calculate the weight of a single piece, converting the exchange rate, reckoning the natural language time and the like. According to the method and the device, the intelligent import of the open data file can be realized without a fixed template, the manual operation cost is remarkably reduced, the data processing efficiency and accuracy are improved, and the method and the device have good universality and expansibility.

The invention provides an integrated data management method. The method comprises the following steps: S1, data access; s2, data organization; s3, data processing; s4, data management; and S5, data service. The integrated data management method provided by the invention is flexible: by providing an open data storage capability and opening and adapting a data storage component, a user can optimize according to the characteristics and requirements of each data warehouse level, so that the performance, expandability and cost effectiveness are improved, and the data management efficiency is improved. The flexible architecture design can meet diversified requirements in a data warehouse environment, by providing two data processing modes of dragging graphical processing and Sql writing, the requirements of a user can be better met, the flexibility and efficiency of data processing are improved, and the user selects a proper mode to carry out data processing according to own requirements and skills.

The invention provides a data processing method and device, equipment and a storage medium, can be applied to the technical fields of instant messaging, applications and the like, and comprises the steps that social operation of a first object on an application interface of a target application is received, the target application comprises an application container and an open data container, and the application container is used for processing front-end data of the target application; the open data container is used for processing social relation chain hosting data of the first object; based on the social operation, calling a social relation chain trusteeship data acquisition interface in the basic library container through the open data container, and sending a first request to the instant messaging server; and receiving social relation chain hosting data of the first object sent by the instant messaging server, storing the social relation chain hosting data in the open data container, and processing the social relation chain hosting data in the open data container through the application container and the basic library container to obtain a data processing result of the target application. And the interestingness of the application is increased on the basis of protecting the privacy of the object from being leaked.

The invention relates to the technical field of water conservancy automation control and edge computing, in particular to a self-adaptive PID control system for a water conservancy reservoir environment, which comprises an edge computing gateway, a water level sensor, a flow sensor and a servo execution mechanism, fluid static geometric parameters are obtained through a topological mapping module, an initial state matrix of a fluid momentum state observer is established, a momentum decoupling module inputs a dam front water level, upstream incoming water flow and opening data to update the state matrix, and transient fluctuation energy characteristics and real reserve residual characteristics are generated through decoupling. The priori fitting module calculates proportion, integral and differential coefficients according to the parameters, and the closed-loop evolution module generates a control instruction and corrects bottom resistance parameters; physical separation of real reservoir capacity change and surface wave disturbance is achieved, invalid oscillation of the gate is reduced, control stability under the flood peak working condition is improved, and the service life of an executing mechanism is prolonged.

The invention provides a data flow private network opening method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining first candidate network segment data uploaded by a first object in response to a data flow task, obtaining second candidate network segment data uploaded by a second object, and obtaining the data flow transmission demands of the first object and the second object; processing the first candidate network segment data and the second candidate network segment data based on a network segment screening rule to determine target network segment data; and sending the data to a network configuration center and a data connector for configuration based on the target network segment data and the data stream transmission demand. Through a technical chain of task driving, candidate network segment acquisition, intelligent screening and cooperative configuration, full-life-cycle automatic construction and resource isolation guarantee of a data circulation private network channel are realized, the problems that traditional manual configuration is low in efficiency, error-prone and difficult to expand are solved, and the security, flexibility and manageability of data transmission are remarkably improved.

The application relates to the technical field of character recognition, and provides a general-scene character recognition data automatic generation method and system, which comprises the following steps: collecting and establishing a part of character recognition data set A; using a deep learning-based image enhancement method to generate printed data set B; using an adversarial generative network (GAN) to migrate the style of the data set A to the data set B, and expanding to obtain data set C; using a CTC-based character accurate positioning image enhancement method to obtain D and E; and proportionally mixing the data sets A, B, C, D and E for training, wherein the mixed training adopts a feature-based data enhancement method to enrich sample diversity. The application can solve the problem that, in handwriting character recognition, due to the continuous writing of handwriting characters, the handwriting characters are more diverse, meanwhile, diverse fonts and open data sets are lacking, and handwriting recognition is difficult to achieve the same amazing effect as that of typewritten characters, and high-quality and evenly-distributed data are generated through image enhancement, semantic understanding, GAN and other technologies.

The invention discloses an airport open data exchange platform, comprising the following modules: a login service module, a data acquisition module, a receipt service module, a publishing service module, and a logout service module; the invention is feasible, the data acquisition module has both high stability and sufficient accuracy, and the facets are merged based on a hierarchical clustering method, which can well solve the problems of poor robustness of some pixels and inaccurate boundaries, the publishing service module consumes less time and has better performance, and the use experience satisfaction index function and utility function actually improve the efficiency of data transmission.

The application discloses a parachute opening data generation method and system, a terminal and a computer readable storage medium. The method comprises the following steps: when a sampling signal is received, a barometric pressure sensor is controlled to enter a full-speed mode to acquire a barometric pressure sensor value in real time, and a first height value is generated according to the barometric pressure sensor value; it is judged whether an IMU enters a measurement mode, if yes, the IMU is calibrated, IMU data is acquired in real time, and first acceleration and attitude data are calculated; according to the first height value, the first acceleration and the attitude data, a fusion algorithm is adopted to obtain parachute opening data. The data acquired by the barometric pressure sensor and the IMU is fused, and accurate parachute opening data for parachute opening judgment can be obtained.

The present invention discloses a management method and system for achievement entry, which relates to the field of data processing technology, including obtaining data quality requirements for scientific and technological achievement projects, and formulating review standards corresponding to the scientific and technological achievement projects according to the data quality requirements; predicting the resources required for review according to the data category of the scientific and technological achievement projects, and entering the data of the scientific and technological achievement projects according to the required resources and review standards; dividing the entered data into open data and private data, and storing the open data and private data in different areas; refining the data storage area, and marking and distinguishing each data storage area, and setting the security protection level of the data storage area according to the data storage area itself and the interaction between the data storage areas. Different review standards are provided for different situations of different scientific and technological projects, which improves the adaptability of the review of scientific and technological achievement entry and ensures the effectiveness and security of entry.

1. Name of this design product: Graphical user interface for data entry of electronic equipment. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Omit the rear view, left view, right view, top view and bottom view. 6. Purpose of graphical user interface: used for interface display of intelligent data filling and human-computer interaction. 7. Description of the changing state of the graphical user interface: Taking the main view as the basis, the main view displays the page with the opened data to be filled in (as shown in the main view, the page can be a table page), click the "Link Identification" button in the "Smart Form Filling" window in the main view to jump to the changing state diagram 1; paste or enter the link in the link input box in the "Smart Form Filling" window in the changing state diagram 1 to jump to the changing state diagram 2; click the "Identify" button in the changing state diagram 2 to jump to the changing state diagram 3, and the system starts to perform data identification and analysis on the URL associated with the pasted or entered link; after the analysis is completed, jump to the changing state diagram 4, and the system automatically writes the identified data to the opened page of data to be filled in; after filling is completed, jump to the changing state diagram 5. The main view reference diagram is the reference diagram of the main view, and the change state reference diagram 1‑5 is the reference diagram of the change state diagram 1‑5. The “XX” in each view represents text and / or numbers.

An apparatus, system and method for a receptacle suitable for control, data collection, and remote management. An exemplary receptacle may include a basin for receiving at least one viscous element; at least one sensor physically associated with the basin; and at least one actuator responsive to the at least one sensor, wherein actuation of the actuator outputs the viscous element to the basin. The receptacle may further include a controller at least partially physically proximate to the basin and capable of controlling the actuation of the at least one actuator; and a control system communicative with the local controller over at least open data path, wherein the control system imposes a plurality of rules to the controller.