16results about How to "Easy resource management" patented technology

The invention relates to the technical field of marine environment prediction, in particular to a marine environment multi-modal fusion prediction method and system based on digital twinning. The method comprises the following steps: capturing time-space correlation characteristics of multi-modal data of a marine environment based on a dynamic multi-modal graph neural network; performing multi-scale feature fusion on the space-time correlation features by using a multi-scale gating unit to obtain comprehensive feature representation; predicting the comprehensive feature representation by using a mixed time sequence prediction framework to obtain preliminary marine environment prediction data, including short-term dynamic modeling and long-term trend modeling; and performing noise fitting on the preliminary marine environment prediction data by using a generative adversarial network to generate final marine environment prediction data. According to the invention, through innovative combination of dynamic multi-modal data fusion, a mixed time sequence prediction framework and a multi-scale gating Tanh unit, the problems of insufficient data fusion, limited prediction precision and poor dynamic response capability in the traditional marine environment monitoring and prediction technology are effectively solved.

The invention relates to the technical field of communication networks, and discloses a service channel time slot allocation method, which comprises the following steps of: 1, acquiring network data in real time from network equipment, the network data comprising bandwidth utilization rate, delay, packet loss rate and service flow type; 2, predicting future network flow fluctuation through a long-short-term memory network model based on historical flow data and real-time network data; and step 3, dynamically adjusting the allocation of time slot resources according to the network flow fluctuation prediction result, and preferentially allocating the time slot resources for high-priority services. According to the method, the dynamic adjustment of the time slot resources is realized by combining the flow prediction of the LSTM model and the Q-learning reinforcement learning algorithm, so that the system can flexibly allocate the resources according to the actual network load condition, the resource waste is reduced, the utilization efficiency of the bandwidth is improved, and the utilization rate of the overall network resources is remarkably improved especially under the condition of high network load.

The invention discloses a self-adaptive traffic prediction and dynamic network optimization system, and relates to the technical field of automatic management of cloud computing networks. Comprising the following steps: step 1: carrying out data collection and processing, step 2: carrying out model training and constructing a prediction engine by utilizing a traffic prediction model, step 3: carrying out real-time monitoring and prediction, and step 4: dynamically adjusting a routing table and optimizing a routing path by utilizing a routing optimization algorithm according to predicted traffic data. The method comprises the following steps of: (1) predicting traffic data, dynamically distributing network loads to different servers or nodes according to the predicted traffic data by utilizing a load balancing algorithm to balance resource use, (5) carrying out decision support and automation: providing decision support, recommending configuration change and automatically executing the configuration change when necessary, and (6) carrying out feedback and iteration: continuously collecting effect data after execution, and performing iterative optimization on the flow prediction model fed back to the prediction engine.

The invention discloses a virtual reality scene modeling method and system based on big data, and relates to the technical field of virtual reality, and the method comprises the steps: matching a model component library, a texture component library and an illumination component library according to scene demand information; constructing a three-dimensional model according to the model component library and the scene demand information; and receiving dynamic configuration parameters of the illumination component library and the texture component library, and performing scene real-time rendering on the three-dimensional model. According to the method, the model component library, the texture component library and the illumination component library are matched, and the three-dimensional model is quickly built according to the model component library and the scene demand information, so that the complexity of modeling operation is reduced; the rendering effect of the three-dimensional model is updated in real time by analyzing the dynamic configuration parameters of the illumination and texture component library, so that visual effects under different illumination conditions are simulated in a virtual environment, the sense of reality of materials and surfaces is improved, rapid feedback and immediate adjustment of the design effect are ensured, and highly-customized and immersive user experience is provided.

The invention discloses a scientific choice question automatic answering method based on a large language model, a medium and equipment, and the method comprises the steps: carrying out the retrieval enhancement based on an external database, and obtaining a document set D related to a question; secondly, abstracting and preprocessing each document in the document set D to generate a preprocessed document set D '; and splicing the questions, the answer options and the preprocessed document information to obtain an input sequence S. And extracting answer information based on a Flash Attention mechanism, and voting based on a multi-thinking chain to obtain b answer options as answers of scientific choice questions. The method has higher answering accuracy and reliability, the experimental result on a Kaggle scientific subject selection question data set shows that the score of the method reaches 0.909, the method is remarkably superior to other baseline models, and the answering accuracy is remarkably improved.

The invention relates to the technical field of processes, and discloses a process tracking method, device and equipment and a storage medium, the method comprises the following steps: responding to any process of an application program to enter a system call, triggering a first tracking point, and obtaining a system call number; based on the first tracking point and the system call number, collecting first information that the process enters system call; in response to the process exiting the system call, triggering a second tracking point; based on the second tracking point, collecting second information that the process quits the system call; a process of the application is tracked based on the first information and the second information. By comparing the information before and after the system calling, the change before and after the system calling can be accurately detected, the comprehensive tracking of the system calling process of the process is realized, the safety of the system is enhanced, and meanwhile, when the system is abnormal or has a safety problem, the reason of the problem can be quickly positioned through the records, so that the safety of the system is improved. And troubleshooting and repairing are facilitated.

The present invention relates to the field of data access technology, and in particular to a data access system, method, and program product for a heterogeneous multi-core processor. The present invention provides a data access system for a heterogeneous multi-core processor, comprising: a heterogeneous multi-core processor, a target storage block, and a register module. The present invention introduces a register module comprising a counting unit, a register unit, and a lock status unit, which provides a hardware basis for the heterogeneous multi-core processor to access the target storage block, and can support the rapid response and atomicity of the lock operation. The present invention takes into account the possible data competition and data dependency of the processing core, and by assigning a line program number to the processing core and designing management logic in combination with the register module, it can effectively adapt to data competition and data dependency, avoid unnecessary time consumption, and ensure that the processing core efficiently completes data access.

The embodiment of the present invention provides a low-code-based platform development method and system, which relates to the technical field of platform development technology. The method includes: obtaining platform development request information, wherein the request information includes platform function information, function execution logic and scenario information, and the scenario information includes the platform usage scenario; script compiling the platform function information, the function execution logic and the scenario information through a preset self-editing program to obtain a target script; sending the target script to an executor, and sending an execution instruction to the executor to instruct the executor to execute the target script. Through the present invention, the problem of low efficiency of low-code platform development is solved, thereby achieving the effect of improving the efficiency of low-code platform development.

The invention provides a bank meeting training automatic house affair management method, device and equipment and a medium. The method comprises the steps that data preparation is carried out, and employee information, room information and meeting training information are collected; performing meeting training priority calculation according to the meeting training information; performing employee grouping according to the meeting training priority level, the participating meeting training type and the employee level; grouping rooms; performing employee room distribution according to the employee groups; the employees participating in multiple meeting training or batch crossing are identified, and rooms of the employees are kept unchanged; new meeting training is added in the meeting training period, staff information is updated in real time, room distribution adjustment is carried out, the problem that time and labor are consumed in manual room distribution in the commercial bank meeting training period is solved, and the room management efficiency is improved.

The invention provides a task scheduling method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of computers. The task scheduling method comprises the following steps: receiving a task instruction; based on the parameters of the task instruction, judging the task type of a target task corresponding to the task instruction; the task types comprise a first task type and a second task type, and the priority of the first task type is higher than that of the second task type; when it is judged that the task type of the target task is the first task type, the task instruction is submitted to a corresponding first cluster, and the first cluster is used for executing the target task of the first task type. The task priority is determined based on the parameters of the task instruction, and the cluster is scheduled to execute the corresponding target task based on the priority of the target task, so that intelligent scheduling of the task is realized, resource management can be optimized, and system performance and system stability can be improved.

The embodiment of the invention discloses a financial terminal card reader card entry forbidding auditing method and system. The method comprises the steps that a logic judgment mechanism is designed; acquiring state monitoring information in the operation process of the financial terminal; auditing the state monitoring information according to a logic judgment mechanism to obtain an auditing result; determining a processing strategy according to the audit result; and controlling the card reader to carry out corresponding operation according to the processing strategy, and prompting a user to carry out corresponding operation. According to the financial terminal card reader card entry prohibition auditing method provided by the invention, automatic auditing of whether the card reader needs card entry prohibition or not is realized, the safety, the stability and the user experience of a financial terminal can be improved, the equipment failure rate can be reduced, and the resource management can be optimized.

The invention discloses an intelligent environment monitoring system for a tunnel construction site, which belongs to the technical field of tunnel environment monitoring and comprises an information acquisition module, an information processing module and an execution module. The information acquisition module is used for acquiring information required by the system; the information processing module is used for storing, analyzing and transmitting information of each module; the execution module is used for executing the information of the information processing module; the information acquisition module comprises an environment information unit and an equipment information unit; the information processing module comprises an information storage unit, an information analysis unit and an information transmission unit; the execution module comprises a display unit and a control unit; the temperature, humidity and dust concentration of a tunnel construction site are monitored and analyzed in real time, the quality of concrete is effectively improved, and the overall quality and durability of a tunnel are guaranteed; meanwhile, the dust concentration is effectively controlled, and the working safety of a construction site is improved.

A first next-generation radio access network (NG-RAN) and its wireless communication method are provided. The method of the first next-generation radio access network (NG-RAN) includes: the first NG-RAN performing non-public network (NPN) cell identification at the access layer (AS) level for downlink (DL), wherein the first NG-RAN performing NPN cell identification at the AS level for DL ​​includes at least one of the following: wherein the NPN cell can transmit a synchronization sequence for NPN in one or more synchronization signal blocks (SSBs) on the initial bandwidth portion (BWP), wherein an NPN identifier (ID) is present in NPN access-related information elements (IEs) in broadcast system information about the DL BWP, wherein the DL BWP for NPN is used to transmit SSBs and related system information, or wherein access level permission is transmitted in the system information on the DL BWP for NPN access permission.

The invention discloses an RRC (Radio Resource Control) connection control system and method under a network fault condition. The system comprises an RRC connection control module. The method comprises the following steps: setting an IMSI white list of a high-priority user, judging whether the user is the high-priority user or not through an IMSI number segment, and transmitting a user level and the IMSI to an RRC connection release batch calculation module; the RRC connection release batch calculation module calculates the release batch of the user according to the user level and the last four digits of the IMSI; and dynamically adjusting the time interval of batch release according to batches. According to the method, the user type is determined by identifying the IMSI number segment, the users are discretely batched based on the specific formula, it is guaranteed that the high-priority users can be preferentially released, network resource management is optimized, and the disaster recovery capacity is improved.

The present disclosure provides a user interface rendering resource management method, an electronic device and a computer readable storage medium. The user interface rendering resource management method is applied to an Android system and includes: formulating a corresponding execution scheme for a plurality of resource requests of a current stage, wherein the execution scheme includes a priority ranking of the resource requests and a merging strategy of the resource requests; executing the plurality of resource requests of the current stage according to the execution scheme; predicting resource requests of a next stage in response to the resource requests of the current stage being executed; and performing data preprocessing on the predicted resource requests of the next stage, the preprocessing being related to the execution scheme of the current stage.

The invention relates to the technical field of cloud computing and virtualization, in particular to a Proxmox VE enabled elastic private cloud resource scheduling system. Comprising a user management module, a resource management module, a scheduling module, an interface packaging module and a Web management platform. Through the technical scheme of the invention, the following technical effects can be realized: the usability is improved: the use threshold is reduced by packaging the PVE interface and providing a graphical management interface and a high-level API (Application Program Interface), so that common users and enterprise multi-role teams can easily manage private cloud resources. And resource management is optimized: multi-tenant isolation and uniform resource scheduling are realized, the resource utilization rate is improved, resource waste and uneven distribution are avoided, and diversified requirements of enterprises are met. And template deployment and an intelligent scheduling algorithm are supported, automatic allocation and adjustment of resources are realized, and the deployment and management efficiency of the enterprise private cloud is greatly improved.