97 results about "EntireX" patented technology

The invention discloses an open source software risk detection method and device based on an SBOM list, equipment and a medium, and relates to the technical field of software detection. The method comprises the following steps: acquiring an SBOM of target software, and analyzing component information of the SBOM; generating a feature character string according to the component information, and calculating a feature hash value through a hash algorithm; based on a known open source component, analyzing component information and vulnerability information of the component, calculating a feature hash value of the component, and storing the feature hash value to form a feature database; searching a matching item in a feature database based on the feature hash value of the target software component, and if the matching item is found, obtaining a license and vulnerability information of the target software component; if not, marking, manually judging and supplementing the data to the feature database; constructing a license compatibility matrix, and checking the compatibility of the obtained license and the overall license of the project; and comparing the acquired vulnerability information with a feature database, calculating vulnerability severity by combining a CVSS scoring model, and generating a priority repair report. According to the method, the software security detection speed and accuracy are improved.

The embodiment of the invention provides a localized large-scale language model service method and related equipment. The localized large-scale language model service method comprises the following steps: acquiring a request load index of an inference service in real time; according to the request load index, a five-dimensional parallelism strategy is determined in a calculation iteration period, and the five-dimensional parallelism strategy comprises parallelism degrees of five dimensions including data parallelism degree, tensor parallelism degree, pipeline parallelism degree, sequence parallelism degree and expert parallelism degree; and reconstructing the parallel execution mode of the current service into the five-dimensional parallel strategy without interruption, and executing the five-dimensional parallel strategy. According to the technical scheme provided by the embodiment of the invention, the system can be dynamically switched among a plurality of parallel dimensions under the condition of load fluctuation, and the overall calculation cost is minimized on the premise of ensuring the service quality.

The invention discloses a cloud side-end collaborative architecture and task unloading method for an airport apron intelligent monitoring system, and relates to the technical field of cloud side-end collaborative computing. Comprising a terminal layer, an edge server layer and a cloud server layer, the task unloading method of the system under the cloud side-end collaborative architecture is designed and comprises the steps that a task model, a time delay model, an energy consumption model and an accuracy rate model of the system are constructed, and a multi-objective optimization problem of time delay-energy consumption-accuracy rate is formed; modeling an optimization problem into a Markov decision process, and designing a state space, an action space and a reward function required by deep reinforcement learning; and designing a task unloading method based on multi-agent deep reinforcement learning, and finding an optimal task unloading strategy of the system. According to the method, the computing tasks can be dynamically, scientifically and reasonably distributed and cooperatively scheduled among the terminal, the edge and the cloud, so that the time delay, the energy consumption and the accuracy are comprehensively optimized, and the overall performance of the system is improved.

The invention provides a method and system for dispatching heterogeneous GPUs through cross-cluster management software, and relates to the technical field of GPU resource dispatching.The method comprises the steps that physical topology data, hardware specification data and historical task records of GPU nodes are obtained through the cross-cluster management software, an association degree matrix between GPU units is established, and a topology grouping set is generated; calculating a communication efficiency index based on topology detection analysis, constructing a topological graph model, and determining an optimal communication path of a multi-card task; generating a perception scheduling strategy in combination with a multi-objective optimization algorithm, and selecting an optimal GPU combination from the grouping set; in the task execution process, a scheduling strategy is dynamically adjusted according to the real-time cluster state and task efficiency data, continuous adaptation of a physical topological structure and task requirements is kept, and finally efficient collaborative scheduling of cross-cluster heterogeneous GPU resources is achieved. According to the method, the scheduling efficiency of heterogeneous GPU resources in a distributed computing scene and the overall performance of the system are improved.

The invention relates to a shared GPU resource fair scheduling method and system based on multi-dimensional priority, and belongs to the field of cloud computing and container orchestration.The method comprises the steps that pooling and virtualization segmentation are conducted on physical GPU resources in a cluster, and a unified GPU resource pool is formed; calculating the comprehensive priority weight of the task according to the user level, the task type and the service quality in combination with a multi-dimensional priority model; a scheduling decision is made based on a weighted dominant resource fair algorithm, task priority weights and dominant resource proportions are comprehensively considered, and fair scheduling and optimal distribution of GPU resources are achieved; through a resource monitoring and feedback mechanism, the GPU utilization rate, the task execution state and the resource allocation result are monitored in real time, priority parameters and scheduling weights are dynamically adjusted, and finally fair scheduling of shared GPU resources is achieved. According to the method, intelligent allocation, resource sharing and fair scheduling of tasks can be realized in a GPU virtualization environment, and the scheduling efficiency and the overall cluster utilization rate are improved.

This invention belongs to the field of simulation software secondary development and specifically provides a method for running R language and deploying machine learning algorithms in the AnyLogic software environment. The method includes: creating a Jar package that carries the method; constructing a project main package, including two first-level subpackages, where the first first-level subpackage is composed of two second-level subpackages; porting the constructed project code data into the AnyLogic software environment, and using AnyLogic software to package the active objects contained in the project into a plug-in library that complies with AnyLogic software communication specifications; inserting the plug-in library into the AnyLogic IDE for testing and use; bridging the AnyLogic environment with mainstream R language machine learning packages through the plug-in library, and calling the return values ​​of the R language machine learning in real time during simulation experiments. This method overcomes the complexity and technical challenges of effectively integrating and using R language machine learning methods in AnyLogic, improving the predictive capabilities and overall simulation performance of the simulation model.

The invention discloses a visual cabinet based on JavaScript and Vue.js. A modularized architecture based on Vue is adopted to split a cabinet, equipment and a U bit into reusable UI components, the UI components comprise a cabinet component, an equipment component and a functional module, and the cabinet component is formed based on Rack.vue; the equipment component is formed based on Server Unit.vue, and is used for rendering different icons and status indicator lamps according to equipment types and supporting dragging to adjust the position of a U bit; the function module comprises a front-end framework, a UI (User Interface) library, a state management sub-module, a dragging library and a rear-end interaction sub-module; the front-end framework is Vue 3 Compression API (Application Program Interface) composite TypeScript, the UI library is composed of an Element Plus basic component and SVG / D3. Js used for customizing graphs, the state management sub-module is Pinia, and the drag library is Vue Dragable or native HTML5 dragmp; and the Drop API and the rear-end interaction sub-module are formed by compounding Axios with a WebSocket used for pushing real-time data. The invention further discloses a creation method. The method comprises the following steps: creating an overall skeleton based on HTML; rendering and beautifying the style based on the CSS; various operations are performed, the remaining capacity is automatically calculated, and machine information is displayed for verification.

The invention provides a code testing method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a to-be-tested code submission operation, and generating a target test case according to a to-be-tested abstract syntax tree and a to-be-tested demand document of a to-be-tested code; generating a target UI test script corresponding to the target test case according to interactive elements in the to-be-tested code user interface; and executing a test task constructed based on the target test case and the target UI test script to obtain a test result. The labor cost and the time overhead of a test link are remarkably reduced, a rapid feedback closed loop from code submission to test execution is constructed, and the software development efficiency and the quality guarantee capability are integrally improved.

The embodiment of the invention provides an object interface testing method and device.The method comprises the steps that a testing script set of a to-be-tested object is obtained, the to-be-tested object comprises at least one to-be-tested node, and the testing script set comprises an initial testing script and at least one first testing script; the first test script is obtained according to a test operation corresponding to one of the to-be-tested nodes; executing the initial test script, and logging in an initial interface of the to-be-tested object; and based on the initial interface, respectively executing the at least one first test script according to the association relationship among the to-be-tested nodes, and obtaining an interface test result of the to-be-tested object. According to the embodiment of the invention, at least one first test script is executed according to the association relationship among the to-be-tested nodes, and the to-be-tested nodes can be tested in sequence, so that the interface test of the whole to-be-tested object is realized in one test process, and the interface test result of the whole to-be-tested object is obtained; manual compiling of test scripts is not needed, and test script execution efficiency is improved.

The application discloses a kind of underground mine three-dimensional entity model establishing method, device and medium.The method includes: S1, AutoCAD software imports two-dimensional drawing, and drawing is divided into different layers according to mining middle section;S2, clean up invalid graphics;S3, conversion line type, clean up layer;S4, process middle section broken line, closed loop;S5, target middle section DXF file is imported into GEOVIA Surpac software, generates str file;S6, adjust point elevation and line segment slope, generate floor str file;S7, adjust floor str file, generate top surface str file;S8, create floor and roof DTM model;S9, close bottom surface and top surface DTM model, form target middle section three-dimensional entity model;S10, combination forms overall three-dimensional entity model.The application makes full use of AutoCAD software to quickly process two-dimensional drawing on the advantages of messy point, redundant line and control layer, combined with GEOVIA Surpac software three-dimensional space modeling technology, improve the efficiency of two-dimensional plane figure to establish complex three-dimensional entity model.

The invention provides a data transmission method and device for a variable-length data class of a high-level architecture standard, and the method comprises the steps: constructing a standard data object of the variable-length data class in an object model template of the high-level architecture standard, and generating a federal standard file; calling a bottom support environment and data length analysis and release operation of a release processing function based on a federal standard file through a data sending end federal member, and releasing transmission data of a variable-length data class to a distributed network; through the data subscription end federation member, the bottom layer supporting environment and the callback function of the variable-length data class are called based on the federation standard file, the transmission data of the variable-length data class are received, direct and efficient transmission of the dynamic length data is achieved, the data bearing flexibility and the operation efficiency of the simulation system are remarkably improved, and the simulation efficiency is improved. The development and maintenance process is simplified through a standardized interface, and the overall expandability of the system is enhanced on the basis of being completely compatible with an existing framework.

The invention relates to the technical field of intelligent content publishing and workflow management, and particularly provides a method and device for customizing content publishing auditing nodes, and the method comprises the following steps: S1, integrating a Warm-flow open source framework, aiming at content auditing extension, and carrying out flow control through binding a service data table smsbitempush; s2, performing visual interface operation, completing process design editing in an expansion form, and finally storing the process model in an xml file form; s3, the process model is continuously iteratively upgraded, and only the model is deployed in the operation process; s4, monitoring the annotation by using the at EventListener event of Spring, and monitoring the event published in the context of the application program; s5, acquiring a monitoring event based on SpEL expression grammar, and performing function logic distinguishing; and S6, historical examination and approval node record flow and single node operation duration record display. Compared with the prior art, the flexible configuration capability of the content auditing process can be remarkably improved, the process change risk is reduced, and the overall maintainability and auditing transparency of the platform are improved.

The application provides a transmission extension framework suitable for object request agents and an implementation method, wherein the transmission extension framework is composed of three parts of a framework transmission API, a framework implementation and a framework interface definition; the framework transmission API part is used for providing a unified data transmission calling interface to an upper layer, shielding the difference of lower layer implementation, guaranteeing the consistency of the interface of the upper layer application logic, and decoupling with the lower layer transmission implementation; the framework implementation part is used for responding to the framework transmission API calling and judging the data input of the upper layer; and the framework interface definition part completes the final calling of the matched lower layer data transmission implementation through the pointer of the interface function. By using the transmission extension framework, the application effectively separates the coupling between the upper layer application calling and the lower layer transmission implementation, reduces the relevance, and effectively enhances the low coupling of the whole program.

1. Name of this design: Interactive area for generating, displaying, and interacting with popular meme-related emoticons in a graphical user interface for electronic devices. 2. Purpose of this design product: an electronic device. 3. The key design features of this product are: the parts in the graphical user interface, and the parts not marked with dotted lines are the parts for which protection is required. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: The interface as a whole is used for chat dialogue, viewing or sending emoticons, adding trending memes to emoticons, generating trending meme emoticons, sending trending meme emoticons, and synthesizing popular emoticons; certain parts of the interface are used for adding trending memes to emoticons, generating trending meme emoticons, sending trending meme emoticons, and synthesizing popular emoticons. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, users can drag emoticons to the corresponding hot meme command options to generate emoticons for the corresponding hot meme commands. The human-computer interaction methods of Design 2 and Design 3 are the same as those of Design 1, and users can also slide the command options to view more command content. In the main view of Design 4, users can drag emojis onto the corresponding trending text to generate the corresponding emoji and automatically send it. Design 5 uses the same human-computer interaction method as Design 4, with more trending meme text options displayed at the bottom. In the main view of Design 6, users can click the command option on the left to switch the emoji generated by the corresponding command; they can also click the emoji generated by the corresponding command on the right to send it to a friend. In the main view of Design 7, users can drag emoticons to the corresponding popular emoticons, combine them into an emoticon, and then automatically send the emoticon. In each design, the rounded rectangular blank area in the interface is the content screen, such as: emoticons, pictures, photos, etc.

The invention relates to the technical field of cloud computing resource management, in particular to an elastic task scheduling method and system based on a large language model, electronic equipment and a medium. The method comprises the steps of firstly obtaining a task mirror image of a user and analyzing a task code through a large language model to generate an initial resource demand feature; performing code embedding vector similarity calculation on the initial resource demand characteristics and historical task codes to generate elastic resource demand distribution characteristics; performing scheduling matching with cluster real-time available resources according to the characteristics; and if the matching fails or the operation fails, correcting the entry point of the task mirror image and the related source code or the configuration file through the large language model so as to re-execute the task scheduling matching. In this way, the technical problem that the resource demand and supply dynamic matching is difficult when an existing container cluster scheduling technology faces a limited resource environment is solved, and the task success rate and the overall cluster resource utilization efficiency are improved.

The invention discloses a high-concurrency resource scheduling optimization method and system based on a Java virtual thread, and relates to the technical field of resource scheduling optimization, and the method comprises the following steps: analyzing the concurrency quantity trend of virtual thread tasks under unit time of an execution log, and predicting the resource overhead of future virtual thread tasks; acquiring a real-time Java virtual resource use condition, judging whether the resource overhead of a future virtual thread task is met or not, if so, judging that the task is normally executed, and if not, judging that the task resource is overloaded; if it is judged that the task resources are overloaded, JVM stack space allocation is dynamically adjusted according to thread request scene preferences corresponding to resource overhead of future virtual thread tasks; and establishing a resource dynamic recovery decision model, and performing real-time resource recovery and scheduling optimization for JVM stack space allocation of future virtual thread tasks to complete high-concurrency resource scheduling optimization. The method has the advantages that resource distribution is optimized, and the performance and the processing capacity of the whole system are improved.

The invention provides an enterprise office-oriented private cloud desktop management system, belongs to the technical field of office data management, realizes full-process intelligent management from user historical behavior analysis to dynamic security management and control, and remarkably improves the operation efficiency and security of an enterprise private cloud desktop system. According to the method, the priority model is constructed based on the office habit of the user, the resource demand is predicted in combination with the office plan, hierarchical storage of data and dynamic allocation of resources are realized, and the storage cost is reduced and the resource utilization rate is improved while high-frequency and quick access of key data is guaranteed; and by setting a dynamic security threshold, the access authority of out-of-limit data is automatically adjusted, and the active defense capability of data security is enhanced. A closed-loop management mechanism of'behavior perception-intelligent grading-resource optimization-safety response 'is integrally formed, the characteristics of personalization, self-adaption and automation are integrated, and the office efficiency, the system performance and the data safety level are comprehensively improved.

The application belongs to the technical field of computer software architecture and artificial intelligence integration, and discloses a general business system AI model unified configuration and whole life cycle management and control method. The application designs a general artificial intelligence model configuration data table, centrally stores basic information, interface access addresses, hierarchical authorization keys, version parameters and whole-process operation trace data of multi-vendor and multi-purpose AI models; adopts database table value parameters as standardized interaction carriers of front and rear ends, combines centralized encapsulation storage processes, uniformly carries various operation requests of front ends, and integrally realizes AI model adding, modifying, deleting and default model setting business processing. The application breaks through the industry disadvantages of dispersed configuration, messy interface, disordered management and control and operation without traceability when traditional application software accesses artificial intelligence, the overall scheme is not limited by industries, can be adapted to all kinds of scenes such as desktop application software, informatization management system, commercial business platform and office software, and provides reliable bottom technology support for standardized, safe and standardized access of all kinds of programs to AI capability.

The invention provides a model-based MEMS-CMOS collaborative design method and device. The method comprises the following steps: constructing a parameterized collaborative model library; based on the collaborative model library, driving an MEMS simulator and a CMOS simulator to perform joint simulation through an automatic script engine, and automatically extracting system-level key performance indexes from a simulation result; taking the system-level key performance index as an optimization target, adopting a multi-target optimization algorithm to carry out collaborative optimization on design parameters in the MEMS parameterized multi-physical field model and the CMOS parameterized circuit macro model at the same time, and generating a Pareto optimal solution set; and performing Monte Carlo analysis on the design selected from the Pareto optimal solution set, and evaluating the yield of the design. According to the collaborative design method provided by the invention, a system-level optimal solution can be found, and the problem that the overall performance is reduced due to local optimum is avoided; the tape-out success rate is improved, and the design efficiency and the design precision of the whole microsystem are improved.

The invention discloses a pairing-free certificateless multi-copy auditing and verifiable deleting method and device under multiple KGCs, and relates to the field of cloud storage. A plurality of distributed KGCs ensure that each KGC is only responsible for generating a fragment of one master key through a threshold sharing technology, and the master key of the whole system can be reconstructed only through cooperation of t KGCs, so that the anti-risk capability of the system is remarkably enhanced. In addition, a pairing-free certificateless signature mechanism is adopted, so that the overall expenditure of auditing is effectively reduced. Based on the distributed certificateless signature technology, the invention further provides a multi-copy dynamic data auditing and verifiable deleting scheme suitable for a distributed storage environment. On each cloud server, one or more data copies are stored, and a Merkel Hash tree is constructed for each copy block. Based on the Hash trees, a data dynamic updating mechanism and verifiable data deletion operation are designed, so that the control requirement of a user on the data is met.

The invention discloses an optimization method, device and equipment for generating a vertical domain through retrieval enhancement based on a BGE large language model and a storage medium. The method comprises the steps that a vertical domain professional corpus is constructed and optimized, a retriever model is finely adjusted, an FAISS retrieval strategy is upgraded, a rearrangement device after fine adjustment is called, and rearrangement optimization is completed. And dynamic caching and updating are implemented, and performance verification is completed. According to the method, through multi-scene corpus training and double-stage fine tuning, the core problem of low distinction degree of synonymous terms, abbreviations and full names is solved; an FAISS mixed index and dynamic threshold adjustment strategy effectively adapts to a scarce terminology retrieval scene, and the retrieval response time is controlled while the recall ratio is ensured; and the weighted sorting design of the resorter model meets the accurate sorting requirements of the user on multiple related documents. The whole scheme of the invention is subjected to low-cost transformation based on the existing open source model and framework, and is widely applied to general scenes such as knowledge base question answering, professional document retrieval and multi-field consultation response.

The embodiment of the invention relates to the technical field of software ecological maturity analysis, and provides an ecological maturity evaluation method and device for RISC-V basic software, and the method comprises the steps: dividing an ecological network of the RISC-V basic software into a plurality of logic layers from bottom to top, and obtaining a hierarchical model, the plurality of logic layers comprise a system firmware layer, an operating system and basic library layer, a compiling tool chain and development tool set layer, a language runtime layer, a video coding and decoding and AI computing ecological layer, a big data processing ecological layer, a virtualization and containerization layer and a cloud computing / cloud native layer, and each logic layer comprises a plurality of software components which can be independently added and deleted; performing hierarchical scoring based on an RISC-V basic software hierarchical model, and performing longitudinal hierarchical aggregation on scoring results of each hierarchy to obtain an overall ecological maturity score; and evaluating the ecological maturity of the software based on the integral ecological maturity score. Therefore, dynamic dimension and hierarchical structure expansion can be supported, and systematic evaluation can be carried out on the ecological system based on quantifiable multi-dimensional indexes.

This invention relates to a modular, tamper-proof, and easily assembled server chassis, belonging to the field of server chassis technology. It includes a top cover module, which comprises an upper cover. A micro-lock is installed at the front end of the upper cover. Cable entry holes are provided at the front and back of the upper cover. A top storage box is installed on the inner wall of the upper cover between the two cable entry holes. This invention enables modular expansion of the server chassis, is compatible with multiple component specifications, and eliminates the need to redesign the I / O area, significantly improving adaptability. A comprehensive tamper-proof system is constructed through the lock, hidden screws, and internal mesh cover, effectively preventing hardware theft and configuration tampering. The dual top-side storage modules, combined with cable management foam, neatly store cables, preventing wear and improving heat dissipation. The quick-installation structure of each module simplifies assembly and maintenance processes, enhances structural stability, resists vibration and prevents loosening, and overall improves equipment usage and maintenance efficiency.

The embodiments of the present application provide a model update method, a communication system and a related device. A LoRA model can be updated by means of an end-cloud collaboration mechanism. An end side can download from a cloud side a LoRA model adapted for an application program and an end-side foundation model, thereby realizing the update and upgrade of an end-side large model. Thus, there is no need for an application program developer to train a LoRA model for different versions of foundation models, thereby significantly reducing the development cost; there is no need for an application program to package the LoRA model, resulting in a lightweight installation package; and the application program developer only hosts the LoRA model on a cloud side, which is more cost-effective compared with the solution of hosting an entire large model on the cloud side.

1. Name of the product in this design: Graphical User Interface for Intelligent Office System for Electronic Devices. 2. Purpose of this design: For running programs and displaying information. 3. The key design features of this product are the graphical user interface content on the screen. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Application of graphical user interface: Used in smart home data integrated management and service systems. 7. Other situations requiring explanation are illustrated in the diagrams: Design 1's main view is the system PC login interface. Entering the username and password allows clicking "Login." Design 1's interface state change diagram 1 shows the main view login button displaying the overall functionality after login. Design 1's interface state change diagram 2 shows the display interface of the "Office Management" function on the left side of Design 1's interface state change diagram. Design 1's interface state change diagram 3 shows the display interface of the "Announcement Management" function in Design 2's interface state change diagram. Design 2's main view is the system PC login interface. Entering the username and password allows clicking "Login." Design 2's interface state change diagram 1 shows the main view login button displaying the overall functionality after login. Display interface; Design 2 interface change state diagram 2 is the display interface of the left function interface of Design 1 when clicking "Office Management"; Design 2 interface change state diagram 3 is the display interface of "Approval Management" of Design 2 interface change state diagram 2; Design 3 main view is the system PC login interface, after entering the account and password, you can click "Login", Design 3 interface change state diagram 1 is the main view login button display of the overall function after logging in; Design 3 interface change state diagram 2 is the display interface of the left function interface of Design 1 when clicking "Office Management"; Design 3 interface change state diagram 3 is the display interface of "Plan Management" of Design 2 interface change state diagram 2.

The application relates to a BIM model multi-level detail generation method, which is based on a triangularized grid model of a BIM model to generate multi-level details, eliminates the influence of a production environment of a BIM professional design software and a multi-source heterogeneous storage format, and has universality; in the application, a component is taken as a basic unit, various types of components are extracted according to component attributes, and each level generated only splits the BIM model, and coordinate, geometric structure, attribute and material information are consistent with design information, so that the application meets related application requirements of the BIM model based on design characteristics and helps to improve rendering performance and work efficiency; the application also applies a volume cell grid to BIM model multi-level detail generation, and constructs an overall simplified model, the overall simplified model contains less data information and is easy to generate, the overall simplified model is generated in priority according to a generation order, so that the computer running burden is greatly reduced, and the rendering performance and efficiency are improved.

The application provides a simulation scheduling method and system, and belongs to the technical field of control simulation. The method comprises the following steps: constructing a Simulink mathematical model and generating an initial model file; converting the initial model file into an RTW file; calling a target language compiler to convert the RTW file into a to-be-called model file; calling a make tool to automatically generate a code and to compile the to-be-called model file to generate an execution model file; and executing closed-loop simulation in a Vxworks system according to the execution model file. The application realizes simulation scheduling distribution of the whole system in the form of auxiliary clock scheduling tasks, realizes simulation scheduling between a Simulink simulation system and a Vxworks operating system, and improves the real-time performance of the Simulink simulation process.