70 results about "Software tool" patented technology

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for remotely modifying cloud-based client applications. The method can include: receiving a first request from a first client device of a user to initiate an interactive session with a cloud-based client application; reserving, in response to the first request, an application engine for executing the cloud-based client application remotely from the first client device; receiving a second request from the first client device to modify the cloud-based client application executing in the application engine using one or more software tools, wherein the one or more software tools are configured to execute remotely from the first client device; modifying the cloud-based client application in the application engine using the one or more software tools; and providing media data associated with the modified cloud-based client application to the first user via a display application on the first client device.

An application or software tool is used to test a device model with a physical device. The tool runs a test on the physical device via the network connection using the input of the test data. The test data includes the inputs and corresponding output values of the device model. The tool compares an output value of the physical device generated by the test with an output value of the device model to generate a result of the test. The test results are displayed on a display of the computing device.

Systems and methods are provided for performing customizable machine prediction using an extensible software tool. A specification including features of a trained machine learning model can be received and an interface for the trained machine learning model can be generated. The trained machine learning model can be loaded using the interface, the loaded machine learning model including a binary file configured to receive data as input and generate prediction data as output. Predictions can be generated using observed data that is stored according to a multidimensional data model, wherein a portion of the observed data is input to the loaded machine learning model to generate first data predictions, and a portion of the observed data is used by a generic forecast model to generate second data predictions. The first and second data predictions can be displayed in a user interface configured to display intersections of the multidimensional data model.

A smart wearable device for hands-free data capture facilitates documentation of real-time observations and creation of new data objects within a software application based on the observations. Image data depicting one or more physical objects observed by a user of the smart wearable device, voice data indicating a user request related to the physical objects depicted in the image data, and contextual information related to the user and the physical objects depicted in the image data, are used to generate a prompt for input to a generative AI model that is to respond to the user request. Based on the prompt, the generative AI model outputs an application-specific command that is to be carried out by a given software tool of the software application, such as a command to create a new data object of a given type within the software application.

A method of utilizing gamification in computer-based time management, a system for performing the method, and a computer program product for performing the method, are configured to perform operations including: allocating, by a gamification time management software tool run by a computing device, a number of time units to a user for a given time period for a project; tracking, by the gamification time management software tool, how the user utilizes ones of the time units towards the project; and awarding, by the gamification time management software tool, reward units to the user based on the user utilizing the ones of the time units toward the project.

Aspects of the present disclosure provide techniques for dynamic request routing in a computing application. Embodiments include receiving a request via a user interface and determining, based on the request and associated contextual information, not to override use of a routing machine learning model for routing the request. Embodiments include providing the request to the routing machine learning model along with a prompt instructing the routing machine learning model to output an identifier of a software tool for handling the request and an input for the software tool. Embodiments include executing the software tool based on the identifier of the software tool and the input for the software tool. Embodiments include determining a response to the request based on the executing of the software tool and providing the response via the user interface.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

The application discloses a kind of based on OSLC's life cycle heterogeneous data packaging and tracing method, comprising: S1, the data source of each software tool in life cycle is analyzed, determine the data resource type, attribute and semantic association that need to be exposed;S2, according to the principle of covering and minimum principle, filter and limit resource type and attribute;S3, construct semantic packaging mechanism, make namespace, resource class and attribute definition custom glossary;S4, establish resource shape, form semantic constraint framework;S5, according to life cycle link, establish tracing semantic chain, define tracing relationship attribute and form cascade constraint;S6, tracing semantic chain is registered in semantic library in RDF format, realizes automatic identification and forward and backward tracing;S7, build OSLC adapter, generate full-link view by RESTfulAPI and DFS algorithm.The application realizes the semantic uniform packaging and automatic tracing of heterogeneous system data, with the advantages of strong consistency and high expansibility.

The invention discloses a metering automation system base detection method and software tool combined with machine learning, and the method comprises the steps: obtaining multi-source heterogeneous base data of a to-be-detected metering automation system, and constructing a base digital twinborn body corresponding to the to-be-detected metering automation system according to the multi-source heterogeneous base data; extracting base static characteristics, base dynamic characteristics and base association relation characteristics of the to-be-detected metering automation system according to the base digital twinborn body; fusing the static features of the base, the dynamic features of the base and the association relationship features of the base to construct a base version identification portrait corresponding to the to-be-detected metering automation system; and inputting the base version identification portrait into a pre-trained base detection model, and outputting a base detection report corresponding to the to-be-detected metering automation system through the base detection model, thereby improving the base detection efficiency and precision.

The first aspect of the invention is to disclose a method for constructing a white matter high-signal focus progress prediction model. The second aspect of the invention is to disclose an application method of the white matter high-signal focus progress prediction model constructed by the method. According to the method, clinical characteristics (such as age, BMI and blood sugar) and image indexes (such as FA, MO, ICVF and ISOVF) are fused, so that the limitation of single-modal data prediction is solved, and the accuracy and comprehensiveness of WMH progress prediction are remarkably improved; the prediction algorithm is packaged into executable software (. Exe), the Windows platform off-line operation is supported, the defect that the prior art is lack of mature software tools is overcome, and clinical popularization and application are facilitated; the model can quantify the contribution degree of each feature to a prediction result, provides an intuitive decision basis for doctors, and improves the practical value of the model in clinical practice.

This invention relates to the field of microservice anomaly detection, and more particularly to a microservice software optimization method based on reinforcement learning. This invention acquires historical operation data from the user terminal to extract the user terminal's operation rhythm features; combines these operation rhythm features with the uniformity of the repeated attack interval to analyze the user terminal's operation rhythm representation value, thereby marking the user terminal's rhythm steady-state category; in response to the user terminal being marked as having a low rhythm steady-state category, anomaly assessment analysis of the user terminal's game operations is performed; based on the conditional judgment results, combined with the matching degree between the aiming timestamp and the target's updated position timestamp, and the angle between the screen viewpoint and the firing direction, it is determined whether the user terminal is using unauthorized microservice software. This invention focuses on the accurate identification of unauthorized microservice software tools in terminal scenarios, improving the accuracy of anomaly detection and reducing the probability of false positives and false negatives through multi-dimensional feature fusion, hierarchical detection logic, and cross-validation mechanisms.

The invention provides an ICD dynamic loading software tool development method suitable for an aircraft power distribution system. The method comprises the specific steps that an aircraft power distribution system ICD database is established; generating an ICD configuration version; generating a cache variable ICD feature code table according to the ICD configuration version; and searching an ICD release version corresponding to the cache variable ICD feature code table in an airplane power distribution system ICD database, and outputting an ICD review file and an ICD interface program. The ICD dynamic loading software tool developed through the method can be used for generating an ICD file of an airplane power distribution system, the ICD consistency of upstream equipment and downstream equipment is enhanced, repeated work in the ICD formulating and coding process is greatly reduced, and the development efficiency is improved.

The present disclosure relates to a method for developing a design of an electronic circuit system in one or more Electronic Design Automation (EDA) environments. The method comprises: receiving data indicative of an event related to a specific point in time during development of the design of the electronic circuit system using a first software tool. A development action may be determined based on the event. Design data descriptive of a state of the design at the point in time, and a library setup descriptive of libraries used by the first software tool to provide the design at that state may be determined. A design snapshot data structure comprising entries representing the design data and the library setup may be created. The design snapshot data structure may be shared with a second software tool for enabling execution of the development action using the second software tool.

A system for automating software usage includes an agent configured to automate. The agent is trained on one or more training data sets. The one or more training datasets include one or more of a first training dataset including documents containing text interleaved with images, a second training dataset including text embedded in images, a third training dataset including recorded videos of software usage, a fourth training dataset including portable document format (PDF) documents, a fifth training dataset including recorded videos of software tool usage trajectories, a sixth training dataset including images of open-domain web pages, a seventh training dataset including images of specific-domain web pages, and / or an eighth training dataset including images of agentic trajectories of the agent performing interface automation task workflows.

The invention provides an application development method and device and a program product. According to the method, a first compiling interface is displayed in response to a first trigger operation, the first compiling interface is associated with a first software toolkit, and the first software toolkit is integrated in a pluggable form; and in response to the second trigger operation, the first function code is compiled into an intermediate code and / or compiled into a second function code in combination with the accessed first interface information base, the first function code is compiled in a first language form, and the second function code is presented in a second language form. According to the method, the quick debugging of the code can be realized and / or the second function code which can be directly matched with a native platform and has the performance comparable to that of a pure native application can be obtained through a unified development language without compiling the whole client project, and the development efficiency and the high performance during operation are both considered; and the development threshold and the development cost of the client application are better reduced.

A software toolkit for research and discovery is disclosed. The software toolkit includes a data model defining entity objects and document objects, a configuration system for describing object data structures, a rendering engine for generating user interface components based on the configuration system, a linking system for connecting entity objects and document objects, and a search and exploration interface for accessing and analyzing linked objects. The configuration system may further include a declarative language for defining object attributes and relationships.

A software tool for analysis of the economic and global warming impact of multilayer barrier films enables the design of a sustainable circular economy for the multilayer barrier films is disclosed herein. The tool can provide circular economy analysis for a plurality of different plastic types and various potential end of life scenarios.

The application provides an ECG signal labeling method, a software tool and a system based on key points and quality label assistance. The method comprises: standardizing an ECG signal to form a data set S0 to be labeled; performing data filtering and noise reduction preprocessing on S0; calculating key points (R-Peak, P-Peak and T-Peak) of the ECG signal; training a quality evaluation model and calculating a quality label of the ECG signal based on the model; building a visual labeling platform, loading the key points and the quality label calculated in the previous step to the labeling platform as auxiliary prompts for manual labeling; manually labeling R-Peak, P-Peak and T-Peak, noise levels and arrhythmia characteristics; and saving the labeling results in a standardized format. The scheme of the application can be applied to quality evaluation of ECG signals collected in a complex noise environment, and has important significance for research in the direction of ECG signal processing, medical signal intelligent analysis algorithm and the like by using a visual labeling tool and auxiliary labeling information to assist in building an ECG related data set in a man-machine interactive strategy.

The invention discloses an unstructured data processing method and device. The method comprises the following steps: establishing a secure data channel between a bank external system and a bank internal unstructured data storage system; based on the security data channel, receiving an access request from a bank external system; processing unstructured data according to the type of the access request; when the access request is a query request, generating an unstructured data identifier based on a request parameter; calling a software toolkit of the unstructured data storage system to pull a corresponding file of the query request to local storage, and forming an unstructured data file and a corresponding return virtual path; receiving an access instruction for the unstructured data file; and when the access request is an uploading request, decoding the Base64 coding file, calling the software toolkit, and storing the software toolkit in an unstructured data storage system. The method and the device are used for improving the efficiency and the accuracy of querying, uploading and maintaining the non-structural data.

A computer-implemented method for providing artificial intelligence (AI)-driven interactive knowledge base question-answering based on multiple large-language model (LLM) Iterations with separate software tools for LLM evaluation, the method comprising receiving a query; generating, based on the query, prompts comprising contextual information associated with the query, and a reference to a database comprising associated with the query; initiating a first LLM to generate, based on the prompts and the database, a first response to the query; receiving from the first LLM, the first response; evaluating an accuracy of the first response using at least one software tool separate from the first LLM; initiating, based on the evaluating, a second LLM to generate a final response based on the prompts and the first response from the first LLM; and providing the final response to the query.

Embodiments of the present application provide a software toolkit test method, system, storage medium and electronic device, wherein the method comprises: receiving a test instruction sent by a target server, the test instruction being used to indicate testing of a target software toolkit; testing the target software toolkit based on interface call information included in the test instruction to obtain a test result; and sending the test result to the target server to instruct the target server to compare the test result with a pre-determined predicted test result to determine the target test result. Through the present application, the problem of low efficiency in testing software toolkits in the related art is solved, and the effect of improving the testing of software toolkits is achieved.

The invention discloses a market information data processing method and device, equipment, a storage medium and a program product, and the method comprises the steps: mirroring first market information data to a plurality of manufacturer servers through a switch for decoding processing, and obtaining a plurality of pieces of second market information data; performing data extraction on the second market information data corresponding to each manufacturer server based on a software tool development kit SDK corresponding to each manufacturer server to obtain multiple pieces of market information transaction data corresponding to each manufacturer server; based on the multiple pieces of market transaction data corresponding to each manufacturer server, determining a target file corresponding to each manufacturer server; performing statistical analysis on the target file corresponding to each manufacturer server to obtain a plurality of ranking results; wherein each ranking result in the plurality of ranking results represents the speed ranking corresponding to the SDKs corresponding to the plurality of manufacturer servers for processing one piece of market information transaction data.

The application discloses a machining sequence and machining step generation method based on a three-dimensional CAD model, and comprises the following steps: obtaining a target view of a three-dimensional CAD model; identifying the target view to obtain a contour line frame and an internal line frame in the target view; and determining machining sequences and machining steps of the part according to the internal line frame and the contour line frame. In the process design of machine tooling products based on a three-dimensional CAD model, after a machining process scheme composed of machining sequences and machining steps reaches a certain data accumulation, the automatic generation of machining sequences and machining steps based on a three-dimensional CAD model of a part can be realized by establishing a corresponding data model and software tools and combining information extraction of the three-dimensional CAD model of the part.

An application or software tool is used for testing a device model with a physical device. The tool runs a test on the physical device, via the network connection, using an input of test data. The test data includes the input and a corresponding output value of the device model. The tool compares an output value of the physical device generated by the test with the output value of the device model to generate a result of the test. The results of the test are displayed on a display of a computing device.

This application provides a page display method, apparatus, electronic device, and computer storage medium, belonging to the field of cloud security technology. In the embodiments of this application, in response to an operation triggered by a target object to access a target server, the client obtains a target verification identifier corresponding to the target server; wherein, the target verification identifier is obtained by executing an identifier acquisition script file issued by an attack protection device to access a third-party verification server; a first access request containing the target verification identifier is sent to the attack protection device, and after determining that the target verification identifier has passed verification, the attack protection device forwards the first access request to the target server; the response data of the first access request returned by the target server is received, and the corresponding display page is displayed according to the response data. The third-party verification server assigns a unique verification identifier, making it impossible for malicious software tools to forge the unique verification identifier configured by the third-party verification server, thereby further improving the security of accessing the server.

A software tool for predicting a candidate recipe for a food product using: (a) a predictor model trained to output, for a given candidate recipe passed as input to the predictor model, (i) a predicted value for at least one target variable and (ii) a predicted value for a given subset of evaluation variables, and (b) a generator model for: (1) training a base prediction model configured to output (i) a predicted value for at least one target variable of a space of a possible recipe and (ii) an uncertainty estimate for the predicted value, and (2) selecting a candidate recipe from the space of possible recipes based on (i) a balance between a predicted value output by the base prediction model and the uncertainty estimate and (ii) a set of constraints.

The application discloses a kind of based on OSLC's life cycle software tool adapter automatic generation method, belong to system engineering field, including the following steps: configuration and store the meta-information of resource class and attribute to be exposed of life cycle software tool, data source interactive interface information and service discovery information;Based on Velocity engine, the respective template code of adapter part function module is developed, and using named variable is substituted at dynamic parameter;Load the resource configuration information of life cycle software tool to Velocity engine, call engine calculation and replace all placeholder named variables, generate adapter source code;The generated adapter code is exported and deployed as executable service.The method is used to realize the quick integration of life cycle management tool and OSLC ecology, solve the technical problems of high development cost, long cycle, maintenance difficulty in prior art.

The invention provides an IETM visual manufacturing method. The IETM visual manufacturing method comprises the following steps of S1, obtaining an original technical picture to be processed; s2, classifying the original technical pictures into description pictures, program pictures, fault analysis pictures or wiring pictures according to content information of the original technical pictures; s3, matching at least one visual processing mode for the original technical picture based on a preset corresponding relationship between the picture type and the visual processing mode; s4, performing visualization processing on the original technical picture by adopting a software tool corresponding to the matched visualization processing mode, and generating corresponding visualization content; and step S5, integrating the visual content into the IETM. Two-dimensional animation and interactive three-dimensional animation technologies are applied to design aircraft IETM multimedia production requirements and methods, and tedious characters needing to be read and understood are converted into visual animations and voices, so that the defect of poor reading effect of the existing IETM is overcome.

Systems, computer program products, and methods are described herein for automatically and dynamically generating software programs from disparate sources. The present disclosure is configured to generate an interactive generative artificial intelligence (AI) engine, wherein the interactive generative AI engine is configured on a graphical user interface (GUI) of a user device; receive, by the interactive generative AI engine, a software tool request; generate, by the interactive generative AI engine and based on the software tool request, a data source prompt; receive, by the interactive generative AI engine, a data source identifier in response to the data source prompt; access, by the interactive generative AI engine, a data source associated with the data source identifier; and automatically generate, by the interactive generative AI engine, a software tool based on the software tool request and the data source.

A smart wearable device for hands-free data capture facilitates documentation of real-time observations and creation of new data objects within a software application based on the observations. Image data depicting one or more physical objects observed by a user of the smart wearable device, voice data indicating a user request related to the physical objects depicted in the image data, and contextual information related to the user and the physical objects depicted in the image data, are used to generate a prompt for input to a generative AI model that is to respond to the user request. Based on the prompt, the generative AI model outputs an application-specific command that is to be carried out by a given software tool of the software application, such as a command to create a new data object of a given type within the software application.