261 results about "Data Applied" patented technology

The present application is applicable to the field of communication technology, a method of communication between applications, a terminal device and a computer readable storage media are provided. The method comprises: the first application establishes a connection with the server based on an interface provided by the first client, the second application establishes a connection with the serverbased on an interface provided by the second client, As such, a communication connection is established between that first application and the second application, the first application then sends a first communication message to the second application through the communication connection, the second application may return a second communication message to the first application through the communication connection, after the communication connection between the first application and the second application is completed, the communication connection between the first application and the second application is disconnected by the release request, and since the interface provided by the client has information for converting the data of the application to conform to the communication protocol. The communication method development period between the applications is short and the stability is good.

The invention discloses a battery cell simulation type state sensing and feedback method and system, and the method comprises the steps: providing a simulation battery cell detection device which flows on a production line along with an actual battery cell; the device is provided with a shell matched with an actual battery cell in boundary dimension, a film pressure sensor covering the surface of the shell, and a built-in collector, in the circulation process, the sensor collects pressure data applied by the production line equipment in real time; the built-in collector stores data and sends the data to the upper computer processing system in a wireless mode; and the upper computer processing system receives and analyzes the pressure data, judges abnormity according to a preset pressure threshold value and generates a report. By simulating the real stress condition of the battery cell, comprehensive, real-time and automatic monitoring of the pressure state in the production process is realized, the abnormal reason can be accurately positioned, the problems of lack of monitoring means and difficulty in problem tracing in the prior art are solved, the product quality and the production efficiency are effectively improved, and the potential quality hazard is reduced.

In various examples, a technique for generating simulation data includes generating, via one or more simulations, simulation data associated with operation of a first machine in an environment. The technique also includes determining a command to the first machine based at least on the simulation data and a goal associated with the first machine and updating the simulation data based at least on the command. The technique further includes storing the simulation data, the command, and the updated simulation data in one or more data records, and causing a second machine to perform one or more actions based at least on the one or more data records.

The invention relates to the technical field of message recovery, and discloses an AI-based iOS device message recovery method and system, and the method comprises the steps: connecting an iOS device, positioning a database file of a message application, and obtaining a database file path list; reading an equipment storage sector, creating a physical mirror image, and analyzing a free block position mark in an APFS container super block; binary classification identification is carried out through an AI data block classification model, an SQLite page type label and a page mapping relation are obtained, deleted messages of a recombined database and a device end are determined, differential comparison is carried out on all historical backup snapshot records of an iCloud account, and cloud end deleted messages are obtained; according to the method and the system, the reorganization success rate of the database and the extraction integrity of the deleted messages are improved, and a technical solution is provided for comprehensive, accurate and efficient recovery of the iOS device messages.

The invention discloses a multi-modal data feature representation optimization method based on comparative learning and two-stage masks. The method comprises the following steps of: firstly, aiming at an input single image-text pair, generating two groups of heterogeneous image-text data with mode missing as two inputs of a model by applying two random mask strategies with different mask areas and proportions; wherein the first group of data applies a high-proportion mask to the image and applies a low-proportion mask to the text; the second group applies a low-scale mask to the image and a high-scale mask to the text. Then, the two groups of data respectively pass through an image encoder and a text encoder which share parameters, and two different multi-modal fusion feature vectors are generated through a cross-modal fusion encoder; according to the method, masked modal information is recovered through a decoder, and the reconstruction loss of the difference between a recovery result and original data is calculated. Meanwhile, two multi-modal fusion feature vectors generated twice are subjected to comparative learning, and the comparative loss of feature representation distances under different enhanced views for approaching the same image-text pair is calculated. And finally, performing weighted summation on the reconstruction loss and the comparison loss to form an overall loss function, and optimizing model parameters through back propagation. When the trained encoder is used for a downstream multi-modal classification task, the classification precision and generalization ability of the model can be effectively improved.

Quantum-based dispatch of workgroups is described. An example of an apparatus includes a computer memory to store data for processing, including data for an application; and one or more processors including a graphical processing unit (GPU), the GPU including multiple chiplets, each of the multiple chiplets including compute containers and a cache, each compute container including a plurality of processing resources, and a dispatcher for dispatching workgroups to the processing resources of the GPU, wherein dispatching workgroups includes dispatching workgroups for the application according to a selected workgroup quantum, the selected workgroup quantum having a certain size and shape.

The embodiment of the invention provides a data recovery method and device, a storage medium and an electronic device.The method comprises the steps that abnormal second data in first data is determined according to a data rule engine, and a data rule applied in the data rule engine is configured according to a data service scene corresponding to the first data; the second data is restored through a preset processing mode, the preset processing mode comprises a data prediction generation algorithm, and the data rule engine and the data prediction generation algorithm are updated in real time through a preset monitoring mode. By the adoption of the technical scheme, the problem that the data restoration effect is poor due to the fact that a data restoration method in the related technology cannot be updated in real time along with changes of the restored data is solved.

The embodiment of the invention provides a data processing method and device based on a graphics processor, equipment and a storage medium, and the method comprises the steps: responding to a data processing request of a large model application, accessing a target file system in a user mode, and obtaining an access position of target data corresponding to the data processing request in the target file system, the target file system is used for managing the storage unit, and the target data is persistent data stored in the storage unit; creating a data transmission path between the storage unit and the graphics processor based on the access position; and based on the data transmission path, calling a graphics processor to process the target data, and generating a request result corresponding to the data processing request. By accessing the target file system for uniformly managing the storage unit, the graphics processor can directly read and write data for the storage unit, and the efficiency of processing the target data corresponding to the data processing request by the graphics processor is improved.

A data compression method, system, and device for a vibration application can involve applying a Fast Fourier Transform (FFT) to raw vibration data to obtain FFT coefficients, classifying the FFT coefficients as high energy coefficients or low energy coefficients based on predetermined thresholds, quantizing the high energy coefficients using a first quantization and the low energy coefficients using a second quantization as quantized coefficients, and generating an indicator array to identify positions of the high energy coefficients and the low energy coefficients for use in packetizing the positions and the quantized coefficients and recovering lossy raw data from the quantized coefficients for data compression of the raw vibration data. The vibration application can include one or more battery-based internet-of-things (IOT) devices that can generate the raw vibration data. The raw vibration data is transferrable over a wireless communications protocol.

The invention discloses a business integrated service platform and a data processing method applied by the business integrated service platform, and relates to the technical field of informatization services, and the business integrated service platform comprises a data fusion module which is used for converging cross-department business data of a full life cycle of an industrial project and constructing a unified full-chain electronic archive library; the supervision model module is used for establishing an industrial project digital monitoring model based on a full-chain archive library, monitoring key links of the project and generating a digital intelligent early warning signal; the service cooperation processing module triggers a flattening cooperation service instruction based on the digital intelligent early warning signal, generates a project blocking point problem and dispatches the project blocking point problem to a responsible department terminal; and the visual decision-making module is used for integrating the acquired investment attraction data, project progress data and approval efficiency data to obtain and display industrial layout, project performance and business environment trend analysis results. The invention discloses a high-efficiency industrial project supervision system capable of cracking data fragmentation dilemma and realizing full-period dynamic monitoring.

The invention provides a building point cloud high-precision automatic registration method based on multi-source sensor fusion, and relates to the field of data processing. According to the method, building point clouds are obtained through multi-source sensor fusion, a time sequence and coordinates are unified, noise and transient targets are removed through density distribution and an occlusion relation, a three-state point cloud label is generated, rough registration and global and local joint optimization are carried out in combination with semantic classification and a cross-scale semantic association graph, and a high-precision registration result is obtained. And on this basis, dynamic difference labeling is executed to generate a component life cycle map, a result is mapped to a building information model, reverse modeling data with life cycle attributes and an engineering application data set are output, and high-precision modeling and application of the whole construction process are achieved. By implementing the technical scheme provided by the invention, high-precision automatic registration of the multi-source point cloud data is facilitated, so that the data set which can directly serve building information modeling and engineering application is mapped.

The embodiment of the invention relates to a database access method based on a middleware system and the middleware system. Initialization is firstly executed through data middleware, a database connection request of a service application is analyzed, a target database instance is determined, and an associated application end token is obtained. And the middleware requests a target database connection credential from the configuration center, and the configuration center sends an encryption credential after verifying the token. The middleware decrypts the credential, initiates connection establishment of the target database, encapsulates the target database into a data source after successful connection, and returns the data source to the business application; and the business application indirectly accesses the target database through an interface or an identifier provided by the datastore middleware. On the premise that database connection credentials are not directly exposed, the connection between the service application and the database is safely established.

A collective data leakage attacks on a Retrieval-Augmented Generation (RAG) application for a generative artificial intelligence (GenAI) application is detected and prevented based on an analysis of incoming queries to distinguish normal and potentially malicious querying behavior. Similarity distances associated with each query are determined, such as the distances between the query vector embeddings and the nearest neighbors in the vector embedding space, distances between each query vector embedding and other query vector embeddings for other queries from the same user, or distances between each query vector embedding and the nearest neighbor cluster of vector embeddings in the vector space. A data leakage attack on the RAG application may be determined based on the similarity distances associated with each query. In response to the identification of a potential data leakage attack, the release of data from the RAG application may be halted.

A computer-implemented method, according to one approach, includes: receiving information from an edge node, where the information outlines specific retrieval-augmented generation (RAG) data applied at the edge node, as well as a condition of the edge node, in real-time. A knowledge database which maps embeddings of RAG data to various edge node conditions is further updated with the received information. Moreover, one or more trained artificial intelligence based models are used to dynamically evaluate the received information and the knowledge database. The artificial intelligence based models are also used to output a relevant subset of RAG data. The relevant subset of RAG data is further sent to the edge node.

The application provides a webpage application data processing method and device, equipment and readable storage medium; the method comprises the following steps: sending the path of a dynamic link library to a browser process in a browser embedded framework through a host process, so as to trigger the browser process to create a webpage application; creating a rendering process through the browser process, wherein the rendering process is used for rendering a data item in the webpage application; calling an extension plug-in in the browser embedded framework through the rendering process to perform the following processing: loading the dynamic link library according to the path, and starting a calculation thread; sending the data item to the calculation thread through the browser process, so as to trigger the calculation thread to obtain the calculation result of the data item through a calculation function in the dynamic link library; sending the calculation result to the rendering process through the browser process, so as to trigger the rendering process to display the calculation result in the webpage application. Through the application, the data processing efficiency of the webpage application can be improved and the memory occupation can be reduced.

This disclosure describes techniques for continuous improvement of machine learning models (also called data models) in a Content Management System (CMS). In one example, a CMS may store a set of data models for each application such as plate number recognition, facial recognition, a determination of likelihood of assault to a law enforcement officer in a traffic violation or robbery scenario, and car identification. In an example embodiment, a predictive model may be used to select a data model from the plurality of data models. The selected data model may be further improved or trained to a new sample of data features to generate an output pattern (e.g., likelihood of assault to a law enforcement officer).

Techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based, desktop application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The desktop application may collect data associated with use of the container application image and transmit the collected data to a contact center server. The contact center server may process the data, in some instances along with data from additional desktop applications on additional client devices, to implement one or more integrated models across the contact center environment.

The embodiment of the invention discloses a data stream transfer method, electronic equipment, a storage medium and a chip system. The electronic equipment at least supports a first wifi link and a second wifi link. The method comprises the following steps: when the electronic equipment is in a wifi connection state and a data stream of a foreground application and a data stream of a background application exist on a first wifi link, the electronic equipment can select a third data stream from the data stream of the background application based on attribute information of the data stream of the background application; and transferring the third data stream from the first wifi link to the second wifi link. After transfer, the third data stream does not occupy the transmission resource of the first wifi link, so that the data stream of the foreground application can use more transmission resources of the first wifi link, which is beneficial to avoiding the phenomena of jamming and high time delay of the foreground application, thereby being beneficial to improving the user experience.

This application discloses a wearable EEG signal processing method and device based on feature fusion. The method includes: synchronously latching the main channel EEG signal from bioelectric electrodes and multimodal auxiliary signals from various auxiliary sensor interfaces within a preset period; inputting the multimodal auxiliary signals into a pre-trained interference identification model, outputting a structured interference quantization vector, which includes the confidence and intensity of different interference sources; processing the main channel EEG signal according to the confidence and intensity of different interference sources and a preset parameterized anti-interference algorithm library to obtain the final EEG data; quantifying the quality confidence of the final EEG data, storing the ternary mapping relationship between the current period, quality confidence, and the final EEG data, and sending it to a downstream application. Using this application, adaptive matching of the processing strategy with the real-time interference scenario is achieved, effectively avoiding overprocessing or underprocessing, and greatly improving the data robustness and accuracy of downstream applications.

The invention relates to a front-end framework updating method and device, equipment and a storage medium. The method is applied to a Vue framework. Comprising the following steps: determining an ecological dependency packet from dependency data packets according to a preset recursive relationship among the dependency data packets in a Vue framework; the dependency data packet represents a data packet of a project application in the Vue framework, and the ecological dependency packet represents a dependency data packet belonging to the Vue framework; if the ecological dependency package meets a preset condition, generating a first AST of the ecological dependency package according to a source code file of the first framework; the first framework represents a Vue framework before updating, the first AST represents an abstract syntax tree of the ecological dependency packet in the first framework, and the source code file comprises code information corresponding to each dependency data packet; according to the first AST of the ecological dependency package, obtaining code information of the ecological dependency package in a second framework; the second framework represents the updated Vue framework; and determining a source code file of the second framework according to the code information of each ecological dependency package in the second framework.

The present invention discloses a real-time analysis method and system for lower limb motion data applied to rehabilitation guidance. The method calls a personalized model based on user information, converts real-time motion data into historical motion feature vectors, inputs them into a real-time prediction module, and generates multiple frames of future motion feature vectors through encoding and decoding. The deviation value of each future motion feature vector from a preset threshold range is calculated to obtain a motion deviation value, and the motion risk ratio of each future motion feature vector is calculated. The motion risk probability is obtained through weighted fusion, and the device parameter adjustment value and posture adjustment information are generated through reverse mapping. Finally, the training stage is advanced based on the risk probability assessment, and correction information is synchronously displayed and the device operating parameters are adjusted. This method constructs a dynamic model through pre-training and combines it with a lightweight LSTM to achieve real-time prediction of future motion features, thereby improving the predictability and personalized adaptation capabilities of rehabilitation guidance.

A server application side operating in a cloud or the like cannot control the data transmission load from a plurality of on-site terminals arranged in a plurality of buildings, and it is difficult to flexibly cope with changes such as increase and decrease in the number of terminals and service. A data transmission control system according to the present invention includes a plurality of data transmission devices and a data processing device that receives data transmitted from the plurality of data transmission devices, the data processing device including a data transmission timing management unit. And a data transmission timing management unit that sets a data transmission timing in the data transmission device on the basis of data transmission load information of an application for transmitting data from the data transmission device to the data processing device, the data transmission device comprising a data transmission timing control unit, and a data transmission timing control unit that controls the timing at which data transmission is performed by means of the timing set by the data transmission timing management unit.

The embodiment of the application provides a data processing method and system, the system comprises a first hardware engine and a second hardware engine, and an AO storage unit hard-wired connected with each hardware engine, the first hardware engine can encrypt key plaintext in TEE or SEE by using a root key read from the AO storage unit; the second hardware engine can decrypt key ciphertext in REE by using the root key, and use the decrypted key plaintext to perform encryption and decryption operation on data of an application. The system can make the key plaintext of the application not out of the hardware all the way, achieve hardware level security, and the AO storage unit is unreadable for software, and is written with the first root key only once when the data processing system is initialized, which can improve the cracking difficulty of the key ciphertext, in addition, the decrypted key plaintext can be used in REE to perform encryption and decryption on data of an application, without switching the running environment, which can improve the encryption and decryption performance of data.

The invention relates to the technical field of communication, in particular to a communication method and device and a storage medium. The method is applied to the terminal equipment, and comprises the following steps: detecting that a data transmission state of a first application does not meet a transmission condition through the first application; transmission state information is sent to the application server through the network device, the transmission state information is used for instructing the application server to request transmission adjustment information from a core network, and the transmission adjustment information is used for instructing the network device and / or the terminal device to adjust transmission parameters corresponding to the data of the first application. According to the embodiment of the invention, congestion detection is carried out on the application side, and the application server sends the request to the core network, so that the core network confirms that the communication system determines and deploys the transmission adjustment parameters, congestion can be efficiently detected, and a congestion coping strategy can be timely implemented.

A device includes a processor and a memory storing executable instructions which, when executed by the processor, causes the processor, alone or in combination with other processors, to perform the following functions: in a browser environment, initiate a web application on a main thread; while the web application is launching, with a web worker having a separate, worker thread, retrieve data for the application from a server environment; store the retrieved data with the web worker in an indexedDB; and provide the data from the indexedDB to the web application when the web application is ready for the data so as to decrease an amount of time for the web application to launch.

Techniques are disclosed relating to upgrading nodes. A computer system may detect that there is an update to a node image used to deploy a set of nodes managed by the computer system. The computer system may select, for an upgrade process, a first node from the set of nodes that includes a first volume used to store data of applications executing on that first node. The computer system may upgrade the first node by deploying a second node running the updated node image, transition the first node to a read-only mode in which read transactions but not write transactions are routed to the applications, and copy particular data from the first volume of the first node to a second volume of the second node. The computer system may, after completion of the copy operation, evict the applications from the first node and redeploy them on the second node.

The invention relates to a cable dynamic thermal management method and device based on a new energy scene and electronic equipment, and the method comprises the steps: collecting cable load data, cable state data and environment parameter data applied to the new energy scene; layering and discretizing the cable into a heat capacity node and a heat resistance path so as to dynamically process heat resistance and heat capacity parameters, and establishing a correlation equation with load fluctuation; on the basis of the associated equation, a transient differential equation reflecting the dynamic change of the temperature along with time in the new energy scene is obtained, the real-time temperature difference between the conductor and the environment serves as a core variable, a transient heat balance equation is obtained through optimization, and a cable dynamic heat model is constructed to execute a heat management action on the cable. Therefore, the problems that in the related technology, due to the fact that a steady-state model cannot track the temperature transient process under the dynamic load in real time, temperature prediction lags behind, quantitative correlation is not established for special environment parameters of a new energy scene, environment scene adaptability is poor, and calculation deviation is large are solved.

The invention provides a data compliance test method, system and device for a vehicle-mounted application APP, and a medium, and belongs to the technical field of vehicle-mounted application APP testing. The method comprises the following steps: firstly, acquiring a permission calling information list of a vehicle-mounted application APP, and judging whether abnormal permission calling exists or not and recording; closing all permission calling interfaces, triggering each function item in sequence, obtaining calling interface names and popup prompt information, judging whether the calling interface names and the popup prompt information are consistent or not, and recording abnormity. And then opening an interface to collect data, generate test data, store and upload the test data, and integrating and recording related information into a function item execution log. And after the operation aiming at each function item is repeated, opening all the interfaces again to trigger each function item, comparing with the log record to judge whether the compliance abnormity exists, and finally generating a compliance detection report. According to the invention, comprehensive testing of the vehicle-mounted application APP data compliance is realized.

Embodiments of the present application provide an application construction method and device, the method comprising: a server obtaining a construction file, the construction file comprising information of a target operating system on which a target application runs and attribute information of the target application; the server constructing the target application according to the attribute information under a mounting point where the target operating system is located, to obtain a data packet for deploying the target application at an application layer; and the server saving the data packet to a database for calling by a user device. With the embodiments of the present application, the efficiency of application construction can be improved.

A system and method for improved application path selection for cloud-based applications from a client device. In one embodiment, a method includes collecting metrics of a remote user's use of one or more cloud-based applications, categorizing the one or more cloud-based applications based at least in part on the collected metrics, determining one or more secure network paths based at least in part on the categorizing of the one or more cloud-based applications, establishing the one or more secure network paths between the remote user and one or more network points-of-presence, and routing data traffic for the one or more cloud-based applications through the one or more established secure network paths.