756 results about "Multiple applications" patented technology

Described herein are methods and systems for a conversational assistant that may be configured for use with one or more applications. The disclosed systems and methods may be configured as an outer loop / inner loop architecture incorporating one or more large language models (LLMs) and / or RAG functionality to support dialog-based interactions.

The invention discloses a solution for intelligent low-code construction and automatic deployment of a multi-terminal application full stack, belongs to the technical field of software development, and solves the problems that an existing low-code development platform is high in use threshold, does not support customized development and is disjunction in application construction and application use. The invention provides an intelligent low-code construction platform. The intelligent low-code construction platform comprises a low-code construction platform, an application rendering unit, an application deployment unit and a display interaction unit, the low-code construction platform is used for constructing a plurality of application pages according to the developer personalized configuration information, and associating the plurality of application pages according to set association logic information among the plurality of application pages to obtain an application program; generating application data according to the application program, and storing the application data; the page cross-end rendering unit is used for performing Web end and App end rendering on the application program according to a defined page rendering protocol to obtain a Web end application and an App end application; and the display interaction unit is used for displaying the interaction function and the application logic of the Web end application and the App end application.

The invention discloses a high-resolution peak value positioning method based on multi-pulse superposition and offset clock cooperation, and belongs to the technical field of laser radar ranging. Aiming at the problems that a traditional laser radar depends on a high-sampling-rate ADC, so that hardware cost is high, power consumption is large, and sampling errors are likely to be caused by echo jitter, the method does not need to replace an existing ADC, and the technical breakthrough is achieved through the following core steps that firstly, the basic sampling rate X Hz and the target equivalent sampling rate improvement multiple N of the ADC are determined; laser pulses are emitted to a target object for N times, during Kth emission, ADC sampling is started by delaying (K-1) / (X * N) seconds, and N groups of echo data with time sequence offset are obtained; performing cross combination on the N groups of data, and constructing an N-time equivalent high-sampling-rate data sequence; repeating the sampling and combining process for S times, and performing alignment superposition and averaging on S groups of data to suppress echo jitter and noise; and estimating initial parameters (amplitude, mean value and standard deviation) of a Gaussian model based on the superposed data, optimizing the parameters through an LM nonlinear optimization algorithm, and finally taking the optimized mean value as a high-precision peak position of an echo signal to realize accurate measurement of the laser flight time. Under the condition of low-sampling-rate hardware, through the collaborative design of clock skew and multi-pulse superposition, the physical limitation of the sampling rate is broken through, low cost, low power consumption and high ranging precision are taken into account, and the method is adaptive to multi-scene application of automatic driving, industrial ranging and the like.

The invention discloses a machine tool running state collection and evaluation method and system, and relates to the field of intelligent machine tools, and the method comprises the steps: collecting machine tool multi-dimensional data through a multi-channel collection device; performing time alignment on different sampling frequency signals by adopting a dynamic synchronization algorithm of clock drift compensation; executing noise suppression, feature extraction and compressed encoding at the edge computing node to generate local state abstract data; sending the abstract data to a central server through a distributed message queue, and realizing multi-application concurrent access based on load dynamic scheduling; and the central server performs fusion analysis on the abstract data by using a multi-modal fusion deep network model, and outputs a health degree index and an overall operation score of the key parts of the machine tool, thereby realizing intelligent evaluation and health prediction of the operation state of the machine tool. The method realizes global perception and intelligent evaluation of the machine tool operation state, and can be widely applied to operation monitoring and health management of high-end numerical control machine tools, complex machining centers and unmanned production lines.

The invention provides a method for automatically deploying artificial intelligence models, which simplifies a model building process through systematic data preprocessing, model selection, parameter optimization and performance monitoring mechanisms, and dynamically updates or switches models in an application environment to maintain overall prediction performance at the best state while improving the performance of the model in multiple application environments.

A method is performed at a computer system that is in communication with a display generation component and one or more input devices. A first window and a second window are concurrently displayed. An input that changes a spatial arrangement of the first window is received at the computer system. In response, in accordance with a determination that the change in the spatial arrangement of the first window would cause the first window to occlude the second window such that less than a predetermined amount of the second window would be visible, moving the second window so that, after the second window is moved, at least the predetermined amount of the second window is visible.

The invention relates to the technical field of comprehensive energy management, and discloses an energy storage coordinated regulation and control method and device, and the method comprises the steps: determining an operation mode of an energy storage station, and packaging the operation mode of the energy storage station as an option; on the basis of the options and the semi-Markov model, constructing a semi-Markov model integrated with the options; and constructing a layered option evaluation model based on the semi-Markov model of the fused options, and solving an optimal energy storage coordinated regulation and control scheme corresponding to the operation mode of the energy storage station in the multivariate application scene based on the layered option evaluation model. According to the method, the station operation mode is packaged in the options, the algorithm solving efficiency is improved, in addition, the parameter quantity and the calculation cost are reduced by adopting the model of the layered structure, and coordinated regulation and control of energy storage under multiple application scenes are achieved in a short time.

The invention discloses an energy storage power station capacity measuring and calculating method considering the power grid bearing capacity and multiple application scenes. The method comprises the following steps: firstly, performing fitting correction on a scene by adopting a scene aggregation correction technology based on least square fitting; and constructing an energy storage power station capacity optimal measurement and calculation model considering the power grid bearing capacity and multiple application scenes, finally carrying out linear transformation on the energy storage power station capacity optimal measurement and calculation model, and solving by adopting commercial optimization software. According to the calculation model, multiple application scenes are introduced, and peak regulation, frequency modulation and standby multiple dimensions are considered, so that the operation and income calculation of the energy storage power station are more comprehensive, the behavior of investing the energy storage power station on the user side can be better simulated, and the influence of energy storage access on the power grid can be better evaluated. According to the scene aggregation correction technology, fitting correction is carried out on the scene by introducing the least square method, more efficient and accurate scene expression is achieved, and the problem solving scale and solving difficulty are reduced.

Example embodiments of systems and methods for data transmission between a contactless card, a client device, and one or more servers are provided. One or more applets of the contactless card are configured to dynamically generate an encrypted payload appended to a link, wherein the contactless card is configured to transmit the link with the appended payload to the client device via one or more gestures. The one or more servers are configured to receive the payload from the client device via one or more applications, parse and decrypt the payload after launch of one or more applications, and transmit one or more notifications to the client device based on a status associated with decryption of the payload. The client device is granted access to a plurality of services associated with the one or more servers based on the one or more notifications received from the one or more servers.

The invention discloses a trusted data space-based cross-domain ecological flow self-driven method and a storage medium, right authentication is performed on a user behavior result based on a block chain technology in a trusted data base, and a privacy computing technology is adopted to realize data security sharing; establishing a digital asset incentive mechanism based on a digital asset incentive driving module to carry out value evaluation and capitalization; the user behavior result after right confirmation is converted into digital assets, an income distribution rule is set through an intelligent contract, ecological matrix collaboration is realized based on an ecological matrix and a flow self-circulation module, and cross-scene circulation and appreciation are carried out; data tampering resistance is realized through a block chain technology, and right authentication of user behavior results is realized; secure sharing and cooperative computing of data are realized through a privacy computing technology, and the requirement of privacy protection is met; the contribution value of the user is effectively quantified and realized; by integrating a plurality of application scenes and setting a unified data interface and asset system, autonomous migration and circulation of cross-scene user traffic are realized.

Systems and techniques for isolation-based confidentiality are described. In one example, a processor is communicatively coupled to memory accessible by multiple applications. The processor requests a private memory region in the memory for data of a first application of the multiple applications. The processor causes the data of the first application to be stored in the private memory region without encryption (e.g., in an unencrypted format). The data in the private memory region is not accessible by the other applications of the processor or other processors. In this way, confidentiality is provided for sensitive data without the overhead required of traditional encryption techniques.

A method is performed at a computer system that is in communication with a display generation component and one or more input devices. A first set of one or more windows in an interactive mode, and a representation of a second set of one or more windows in a non-interactive mode are concurrently displayed. While a window is displayed in an interactive mode, the content of the window can be manipulated in response to user inputs. While a representation of a window is displayed in a non-interactive mode, the content of the window is not available to be manipulated in response to user inputs. An input selecting the representation of the second set of one or more windows is detected. In response to detecting the input, the first set of one or more windows in the interactive mode are ceased to be displayed. In response to detecting the input, one or more of the second set of one or more windows are displayed in the interactive mode concurrently with a representation of the first set of one or more windows displayed in a non-interactive mode.

A system and method for automating chat-based interactions utilizing a large language model (LLM) is disclosed. The method involves receiving one or more requests from a user through an apparatus designed to automate various tasks, including data collection from multiple sources. Upon receiving the user's request, a query message is sent to the LLM, which determines whether to collect additional data from one or more Application Programming Interfaces (APIs) or to generate a final response based on the existing message history. If additional data is needed, it is collected from the APIs and incorporated into the LLM's message history. Subsequently, the LLM generates a final response based on either the updated message history or the newly collected data. This final response is then communicated back to the user, ensuring accurate and contextually relevant interactions.

The present disclosure involves systems, software, and computer implemented methods for integrated data privacy services. An example method includes determining to initiate an integrated end of purpose protocol for an object of an object type. Target applications are determined that are allowed to process objects of the object type for at least one purpose, based on identified purpose information. An end-of-purpose query is provided to the target applications and an end-of-purpose status is received from each target application that indicates whether the application is able to block the object. The received statuses are evaluated to determine whether an aligned end of purpose has been reached for the object. In response to determining that the aligned end of purpose has been reached for the object, a block command is provided to each of the multiple applications that instructs a respective application to locally block the object.

Various embodiments relate generally to data science and data analysis, computer software and systems, and computing architectures and data models configured to facilitate management and performance of enterprise functions, and, more specifically, to an enterprise computing and data processing platform configured to implement applications and computerized tools configured to facilitate implementation of an enterprise data model to generate and manage component data objects representing enterprise tasks and processes, as well as portions thereof, any of which may be used to create and modify an enterprise data flow or a process flow, for example, using an enterprise computerized tool. In some examples, a method includes activating one or more applications as computerized tools to access subsets of one or more permissions, identifying an enterprise function data object to generate a third subset of permissions.

Systems and methods for input processing architecture interfaces include receiving first audio data representing a first voice command within a first input processing architecture. A first action domain associated with the first voice command may be determined by the first input processing architecture. A first domain API may be determined, wherein the first domain API is predefined for interfacing with a second input processing architecture. Utilizing an application of multiple applications, a first input processing result associated with the first voice command may be determined. The first input processing result may be provided to the first domain API. The first input processing architecture may be caused to utilize the first input processing result from the first domain API to determine a first action to be performed responsive to the first voice command.

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes receiving a first request to correct personal data or restrict processing of personal data of a data subject. Response data is identified that is provided by applications in a multiple-application landscape in response to a second request for access to personal data processed by respective applications in a multiple-application landscape. Relevant applications for the first request are identified based on the response data. A data correction or data restriction work package is sent to each relevant application and data correction or data restriction work package responses are received from relevant applications. An overall data correction or data restriction result is determined based on the data correction or data restriction work package responses and is provided in response to the first request.

A dynamic registration system includes a slice registration server communicatively coupled to one or more clients, and to one or more Application Programming Interfaces (APIs), wherein each API is communicatively coupled to an associated network of one or more networks, each network having resources including one or more of transport, compute, and storage resources; wherein the slice registration system is configured to receive requests for resources of the one or more of transport, compute, and storage resources in the one or more networks, for a client, exchange request / response messages with the one or more networks for a slice registration of the resources in the one or more networks, cause instantiation of the resources in the one or more networks, based on the request / response messages, and provide an acknowledgment to the client based on the instantiation of the resources.

This disclosure provides methods, components, devices, and systems for prediction-based latency aware power saving using adaptive target wake time (TWT). Some aspects more specifically relate to aligning traffic flows from multiple applications by using next expected times for packet transmissions, latency threshold values, processing times, and statistics to determine a next TWT. The next TWT may be communicated from a wireless device to a companion device. The wireless device may enter a sleep mode until the next TWT.

The invention relates to the technical field of electronic equipment, discloses a split-screen interface display method and electronic equipment, provides a convenient split-screen mode, and can quickly open a plurality of applications. According to the method, the electronic equipment can respond to dragging operation of a user on an application icon on a desktop, and a folder stacking mode can be switched to a split-screen editing mode through the stay duration of the dragging operation. In this way, a new screen splitting mode can be provided, and the screen cannot be shielded.

The embodiment of the invention discloses a multi-task animation display method and electronic equipment, and relates to the technical field of terminals. The method comprises the following steps: the electronic equipment enters a multi-task scheduling mode and displays a second interface in response to clicking to enter a preset icon; then, in response to a first operation and a second operation input on the second interface by the user, displaying a first window of the first application and a second window of the second application; and displaying the first animation in response to a third operation of sliding up from the bottom and pausing. Each image frame of the first animation comprises display contents of the first window and the second window, and does not comprise a layer of the first application drawn based on the first window and a layer of the first application drawn based on the second window. Therefore, in the process of updating the first animation, the layers based on the multiple applications do not need to be processed, the power consumption of updating the multi-task animation by the electronic equipment can be reduced, and the updating speed of the multi-task animation can be increased. Therefore, the fluency of multi-task animation playing can be improved.

The invention provides a software package synchronization method, which utilizes templates to synchronize software packages of different scene program projects, and comprises the following steps: obtaining a target software package of a target scene program project and a corresponding software package record file, the software package recording file records a template identifier and a template version used when the target software package is generated; wherein the software package is generated based on the template version of the reference template; according to the template identifier, determining the reference template corresponding to the target software package; comparing the current version of the reference template with the template version, and checking whether difference content exists or not; and if the difference content exists, synchronizing the difference content to a target software package of the target scene. The invention further provides a corresponding device and program item synchronization. According to the application, accurate mapping between a plurality of target software packages and software package versions can be established in robot application program development under multiple application scenes, and batch updating of the software packages is realized.

The invention provides a display method and electronic equipment. The method comprises the steps of displaying a first interface in response to a first operation; on the first interface, according to a first parameter, displaying the plurality of notification messages, the first parameter comprising at least one of a watching duration of a user for each notification message in the plurality of notification messages, a watching frequency of the user for each notification message, a click frequency of the user for each notification message, and a push frequency of each notification message; the plurality of notification messages are in one-to-one correspondence with the plurality of application programs. According to the display method and the electronic equipment provided by the invention, notification messages with high importance or priority can be displayed preferentially, so that a user can obtain information conveniently, and the use experience of the user is improved.

Systems, methods, and a computer readable storage medium are disclosed for submission of a software application to one or more application stores. The method includes receiving one or more inputs from a user and determining requirements to submit the software application to the one or more application stores based on the received one or more inputs. The method further includes generating metadata for the software application based on the determined requirements and submitting the software application to the one or more application stores based on the generated metadata.

Support multi -way communication free switching intelligent LED drive power supply circuit, including;MCU, the MCU is connected with first communication circuit, second communication circuit and third communication circuit;Still include with first communication circuit's first relay, with second communication circuit connection's second relay and with third communication circuit connection's third relay, first relay, second relay and third relay one end common connection, and this common connection point is connected with EMI circuit, EMI circuit is used for according to communication mode connection corresponding communication dimming line;Still include with the MCU is connected and is used for controlling each relay conduction's relay closure normally open circuit, the present application can support multiple application scenarios without replacing power supply, it is convenient for factory production and user uses, and multiple communication modes can be freely switched, and the practicality is stronger.

The invention discloses an application version release time consumption prediction method and apparatus, a device and a storage medium. The method comprises the steps of obtaining version information of a target application version; for each release link, determining a plurality of time consumption influence factors based on a target time consumption prediction model corresponding to the release link; based on the version information, determining factor values respectively corresponding to the plurality of time consumption influence factors; through a target time consumption prediction model, the release time consumption is predicted based on the factor value, and the release time consumption represents the manual time consumption for releasing the application version; the target time consumption prediction model is obtained based on the historical version release time consumption of the plurality of application versions in the release link and the plurality of time consumption influence factors through fitting. According to the embodiment of the invention, quantitative traceability of time consumption influence corresponding to a plurality of links can be realized, the accuracy of predicting release time consumption is improved, the actual optimization of an application version release process is guided, the delivery quality and the delivery efficiency of the application version are improved, and the optimal control of the operation cost is realized.

Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a decision tree to generate a recommended action in response to detecting a change in a data map representing a computing environment. The disclosed system determines relationships among data objects representing digital data, digital assets, and data processing activities and generates a data map according to the relationships. The disclosed system monitors the data map for changes and, responsive to determining a change in the data map, traverses a decision tree by executing one or more calls to one or more application programming interfaces according to the change in the data map and one or more data policies relevant to the changes. The disclosed systems utilize the decision tree and application programming interfaces to generate a recommended action for modifying digital assets, digital data, and / or data processing activities.

This invention relates to the field of image data processing technology, specifically to an automated software development system and an automatic software generation method, comprising: a control terminal, which is the main control terminal of the system and is used to issue execution commands; a storage module, used to store application programs; a receiving module, used to receive initial image data and processed image data; and a parsing module, used to parse the differences between the processed image data and its corresponding initial image. This invention can store a certain number of application programs by establishing storage space. Furthermore, by inputting initial image data and processed image data into the system, the system can further identify the content of the image data and, based on the identification results, configure the application programs stored in the system. This allows multiple application programs to adapt to the application functions required for image data processing and form software to be output to the user for use.

The invention belongs to the technical field of databases, and relates to a vector database evaluation method and system based on mixed search and a readable medium, and the method comprises the steps: generating multi-modal test data oriented to multiple application scenes according to a real data set; constructing a mixed query task capable of controlling the selection rate and the query correlation; according to the multi-modal test data, aiming at the mixed query task, loading a pre-calculated vector neighbor result, and realizing dynamic test of different selection rates and relevance in a vector database; key performance indexes of the vector database are calculated through dynamic testing, and the vector database is evaluated according to the key performance indexes. The method solves the problems of unreal data distribution, too simple hybrid query tasks and the like, greatly reduces the labor cost of vector database evaluation, improves the database performance analysis efficiency, and accelerates database performance evaluation, optimization and model selection of research institutions and enterprises.