708results about How to "Improve acceleration performance" patented technology

The invention relates to the technical field of block chains and security technologies, and particularly provides a security protection detection method and system for a smart contract based on a block chain. The security indexes at least comprise a password economics security index, a dynamic behavior characteristic index, a formalized verification index and a consensus layer security index; and performing quantitative evaluation on the collected multi-dimensional security index to obtain a comprehensive security score of the target block chain, scoring the cryptoeconomics security index through a preset cryptoeconomics security index scoring model to obtain a cryptoeconomics security score, and sending the cryptoeconomics security score to the target block chain. The current comprehensive security score of the target block chain is compared with the adaptive dynamic risk threshold, and if the current comprehensive security score is higher than the adaptive dynamic risk threshold, an early warning signal is sent out, and the effect of comprehensively evaluating the block chain smart contract is achieved.

The invention discloses a multi-modal sensor abstract description and packaging method and system based on software definition. Firstly, a unified sensor abstract description model based on software definition is introduced, so that hardware independence is realized, and the differences of a bottom-layer multi-mode sensor in the aspects of interfaces, protocols and data formats can be effectively shielded; secondly, abstract packaging of data is achieved through an autonomous information processing module, and high-bandwidth and high-redundancy original data is converted into low-bandwidth and high-value structured information; in addition, by means of automatic registration, discovery, scheduling and control mechanisms of the sensor management control module on sensor resources, the system realizes a real plug-and-play function. According to the invention, by deploying the autonomous information processing modules at various sensor nodes, the original sensing data is preprocessed, and standardized data packaging with semantic consistency is output, so that the operation load of the central controller is reduced, and the information processing efficiency and the system response capability are also improved.

The invention provides a general semiconductor test data full life cycle management system, and the system comprises a test source data access module which is used for uploading a source test file in a test machine to the system; the full test data analysis and standard model conversion module is used for converting the uploaded source test file into a test file in a standard data format and transmitting the test file to the multi-dimensional KPI atomic model operation and persistent storage module; the multi-dimensional KPI atomic model operation and persistence storage module is used for calculating a multi-dimensional KPI atomic result according to the data in the test file in the standard data format and storing the multi-dimensional KPI atomic result to a persistence layer database; and the unified service output module is used for receiving a user query request, performing aggregation calculation on the multi-dimensional KPI atomic result in the persistent layer database according to the user query request, and returning a KPI result meeting the user query request. The system can improve the utilization efficiency of semiconductor test data and reduce the operation cost.

The invention provides a universal method for realizing multi-condition and search based on LDAP, and belongs to the technical field of data retrieval of directory service and identity management. A user defines query conditions including attributes, values and logical relationships through a configuration file, a visual interface or an interface; the system parses the query condition model into a query condition model supporting nested combination of AND, OR and NOT by using a parser, and performs legality check and error prompt; and then a generator dynamically generates a filtering statement conforming to the LDAP grammar specification according to the model, and query is executed through an LDAP client. In order to improve the performance, common condition caching and high-frequency statement pre-compiling optimization are introduced, and an asynchronous query mode is supported. And the query result is returned in the form of structured data, and is matched with a display interface to support screening, sorting and exporting, so that the flexibility and maintainability of multi-condition query are improved.

The invention discloses a lithium battery system with a remote upgrading function, belongs to the technical field of lithium battery management, and aims to solve the problems that an existing system is high in field upgrading cost, easy to fail in upgrading, split in operation and maintenance functions, lack of outdoor theft prevention and the like. The system comprises a lithium battery body, a BMS (Battery Management System), an embedded Web UI (User Interface) and a multi-protocol communication module, the BMS is integrated with an Ethernet, a CAN (Controller Area Network) and an RS485 (Recommended Standard 485) communication unit, an upgrade failure three-level protection mechanism is set, and host-slave parallel operation collaborative upgrade and configuration persistence are supported; the embedded Web UI integrates refined log management, three-level password authority control and anti-theft closed-loop control functions; the multi-protocol communication module is compatible with ModbusTCP and SNMP protocols, and has interface backup and fault redundancy design. According to the system, remote upgrading, integrated operation and maintenance and safety protection of the lithium battery are achieved, the upgrading success rate reaches 99.8% or above, the operation and maintenance cost is reduced by 90%, the fault processing efficiency is improved by 85%, and the system can flexibly adapt to scenes such as a communication base station and a data center and has high practicability and market competitiveness.

The invention discloses a self-synchronizing clock cascade time synchronization system, and relates to the technical field of rail transit clock synchronization, the system comprises a plurality of cascaded self-synchronizing clock devices, each device configuration mode selection assembly and an FPGA control unit, a master-slave mode can be switched through an interface combination, the FPGA control unit integrates a plurality of modules such as a time synchronization module and an internal clock module, and the FPGA control unit is connected with the self-synchronizing clock device. An internal clock adopts a second timestamp and nanosecond mantissa double-timing format; the time synchronization module calculates and calibrates a clock error through a bidirectional time difference averaging algorithm based on four groups of time information and supports IRIG-B code, SNTP network and emergency manual multiple time synchronization modes, after the self-synchronizing clock host equipment initiates time synchronization, the self-synchronizing clock slave equipment can be switched to the self-synchronizing clock host equipment to initiate time synchronization to a lower stage after calibration, and the time synchronization is completed. The multi-stage cascade synchronization is realized, the system synchronization precision is high, the anti-interference capability is strong, the bidirectional cascade expansion is supported, and the multi-scene time synchronization requirements are met.

The invention relates to the technical field of information retrieval, in particular to a large-scale semantic retrieval optimization method based on deep learning, which comprises the following steps: acquiring to-be-retrieved text data, and converting the to-be-retrieved text data into semantic vector representation through a deep learning model; carrying out topological structure analysis on the semantic vector representation to obtain topological characteristic information of a semantic space; on the basis of the topological characteristic information, a topological perception hierarchical navigable small-world graph index with a multi-layer structure is constructed, and each layer comprises a node set and a connection relation thereof; dynamically optimizing and adjusting the topology-aware hierarchical navigable small-world graph index according to an actual query mode and system performance feedback; and receiving a query request, converting the query request into a query vector, executing multi-layer navigation search in the topology-aware hierarchical navigable small-world graph index, and returning a retrieval result related to the semantics of the query vector.

The invention belongs to the technical field of production testing in the manufacturing industry, and particularly discloses a production testing system and method based on the manufacturing industry, a terminal and a medium, and the system comprises a back-end service layer which is in communication connection with a front-end service layer for information interaction, dividing the business logic of the production test into a plurality of business modules which can be independently managed through a module registration mechanism; the equipment interaction layer comprises an equipment driving interface, at least one equipment driving plug-in and an equipment communication unit; and the system integration layer is used for carrying out information exchange with a manufacturing execution type service system through a standardized data interaction mode so as to obtain and send the production test data. Test data is aligned with a manufacturing execution type business system through a standardized data interaction mode, connection between a production test link and manufacturing process management is realized, and the overall cooperative capability of a production line is improved.

The invention discloses a Linux-oriented vulnerability repair verification method and system and a medium. The method comprises the steps of creating a test application form for a CVE vulnerability patch in a task management system, preparing a test environment for CVE vulnerability repair verification as well as a required test table, a software source and a test strategy file, and calling a tool interface to automatically trigger an assembly line; the assembly line executes the test suite in the test environment based on the test table, the software source and the test strategy file and collects an execution state, and if the execution state is failure, automatic retry can be carried out on the CVE vulnerability based on manual triggering; and finally, generating a report file, writing a verification result for the test application form in the task management system, and if the verification result is that verification is passed, issuing a service pack of the CVE vulnerability. The invention aims to realize efficient, traceable and extensible Linux vulnerability repair verification, realize full automation and intelligence of the vulnerability verification process, and improve the accuracy, traceability and expandability of verification.

The invention relates to a Keystone-based deep ground security heterogeneous data fusion method and system, and the method comprises the steps: deploying a Keystone trusted execution environment on a deep ground edge computing node, creating a security enclave, carrying out the encryption access of multi-source heterogeneous data on the basis of remote authentication and key agreement, completing the space-time alignment and feature extraction after decryption in the enclave, and carrying out the fusion of the multi-source heterogeneous data. And performing cross-modal association analysis and risk assessment based on a preset model or a rule engine to obtain a fusion result, encrypting and signing the fusion result in the enclave, distributing the fusion result to an authorized receiver through a secure channel, and realizing one-time task destruction, long-term task cycle reconstruction and key refreshing in combination with enclave full life cycle management. According to the method, the credibility and the real-time performance of heterogeneous data fusion processing in a complex scene can be improved while the confidentiality and the integrity of deep operation and maintenance data are guaranteed.

This invention provides a rapid rewarming and circulatory support system for frostbite and hypothermia in high-altitude environments, relating to the field of treatment device technology. It includes: a first temperature acquisition module for acquiring and preprocessing the current first ambient temperature, the first frostbitten skin surface temperature, and a first skin surface image; a control module connected to the first temperature acquisition module for analyzing the preprocessed first ambient temperature, the first frostbitten skin surface temperature, and the first skin surface image to determine the corresponding first target temperature and a first target warming rate; and a temperature regulation module connected to the control module for gradually warming the skin to the optimal preset temperature according to the warming rate. This invention achieves dynamic temperature control, continuous protection, and intelligent decision-making for frostbite and hypothermia in high-altitude environments.

The invention discloses a remote data management platform for security operation and maintenance service, and belongs to the technical field of computer network security and data operation and maintenance management. The platform comprises a data acquisition module, an access control module, a remote operation and maintenance control module, a data isolation and encryption module, a security auditing and tracing module, an intelligent risk identification module, a strategy decision engine and a visual management interface module. The system adopts a layered deployment architecture, and realizes multi-layer protection, dynamic strategy adjustment and traceable auditing of the whole remote operation and maintenance process through encryption transmission, block chain type log chain, deep learning risk identification and knowledge graph strategy optimization. The platform has the functions of multi-factor authentication, log chain tampering prevention, intelligent risk early warning and strategy self-learning, can effectively prevent unauthorized access and data leakage, improves the safety, intelligence and verifiability of remote operation and maintenance, and is suitable for multi-scene safety operation and maintenance management of medical treatment, energy, government affairs, industrial control and the like.

This invention provides a method for providing CNI support for a Docker container engine, relating to the field of container runtime technology. The method includes configuring a custom runtime component docker-cni in the Docker container engine; specifying the custom runtime component docker-cni as the runtime when creating a container and setting it to a network-free mode (none); injecting a pre-start hook and a stop hook into the container's configuration file during the container creation phase; the hooks are used to trigger the custom runtime component docker-cni to perform CNI network operations; when the container starts and triggers the pre-start hook, calling the CNI plugin's add network operation according to the command injected in the pre-start hook to complete the container network configuration; when the container stops and triggers the stop hook, calling the CNI plugin's delete network operation according to the command injected in the stop hook to clean up the container network configuration.

The application provides a kind of ionic liquid electric spray micro force calculation method, device and electronic equipment, it is related to data processing field, the method is carried out original molecular dynamics simulation in the negative gradient calculation of position to atomic potential energy and obtains the force model, the micro force decoupling of ionic liquid electric spray under molecular dynamics simulation is executed;Based on the micro force model, the molecular dynamics trajectory data is recalculated by modifying the molecular dynamics simulation code parameters, the pre-data of different micro forces is obtained, and the atomic force calculation result is output based on the pre-data of different micro forces;The atomic force calculation result corresponding to the steady state part of system is calculated by time and space average, and the spatial distribution calculation result of micro force and electric field is obtained;After a spatially uniform distribution of constant electric field is applied to the system, the first external electric field received by the charged atom is calculated using the above scheme, and the applied electric field and the calculated electric field are consistent, which verifies that the scheme is executed without error.

The invention provides a post-processing federated long-tail classifier calibration method and device based on random noise driving, and the method comprises the steps: carrying out the multi-round federated learning training between a central server and a plurality of clients, and carrying out the aggregation to obtain a pre-training global model comprising a feature extractor and a classifier; at the central server side, freezing the feature extractor, and constructing a virtual balance data set based on random noise sampling and uniform label sampling; optimizing parameters of the classifier by using the virtual balance data set and a calibration loss function to obtain a calibrated classifier; and for a to-be-classified test sample, predicting the to-be-classified test sample by using the feature extractor of the central server side and the calibrated classifier. The method is applied to an image classification task in federated learning, classifier deviation caused by long-tail distribution can be effectively calibrated under the conditions that data privacy is completely protected and no auxiliary information is needed, and the recognition performance and the overall prediction calibration degree of the model on the tail category are remarkably improved.

The application provides a training method and device of an image enhancement model, electronic equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: generating a low-illumination sample image corresponding to each normal-illumination sample image in an initial image data set according to the normal-illumination sample image, and generating a first training data set according to each normal-illumination sample image and the low-illumination sample image corresponding to the normal-illumination sample image; performing image mask extraction according to a target object in each normal-illumination sample image to obtain target mask information corresponding to each normal-illumination sample image; and training an image enhancement model according to the first training data set and the target mask information corresponding to each normal-illumination sample image. The method can improve the training efficiency and generalization performance of the image enhancement model and improve the enhancement effect of the image enhancement model on low-illumination images.

A kind of test method based on the combination of large model and test simulation tool, for testing input file, the method comprises the following steps: S1, receiving interface description document and interface request message, and performing check to input file;S2, interface description document and interface request message are parameterized, and interface parameter configuration is generated;S3, according to interface parameter configuration and test target, intelligent generation simulation response content;S4, interface parameter configuration, response message and simulation scene generated are loaded to test simulation engine, and test simulation engine generates or matches corresponding response according to configuration, and returns to the output end of the file to be tested;And a kind of system based on large model and test simulation tool, the present application has the advantages of flexibility and coverage.

The invention provides a method for deploying a plant-level alarm system, which comprises the following steps that: a whole-plant-level plant model is constructed according to a plant department architecture or a business object node, the plant model comprises a plurality of levels, each level at least comprises one sub-model, and the sub-models of different levels have a mapping relationship; importing instrument equipment data and binding the instrument equipment data to the corresponding sub-models; newly establishing instrument position numbers and binding the instrument position numbers to the corresponding sub-models and instrument equipment, wherein the instrument position numbers and the collector position numbers are in one-to-one correspondence; and configuring an alarm platform based on the configuration, establishing a whole plant appearance map, and binding each component with a corresponding sub-model, instrument equipment and an instrument position number. According to the technical scheme, by establishing a core concept of'factory equipment objects', alarm information of a plurality of'instrument position numbers' bound with the'factory equipment objects' is aggregated upwards, so that the equipment becomes a comprehensive alarm state indicator, and an operator can quickly master the overall operation health condition of the equipment from a macroscopic level.

This invention discloses a unified management and scheduling method, system, and storage medium for multiple workflow engines, belonging to the field of workflow orchestration and task scheduling technology. The method includes: receiving a start request for a target workflow, creating and recording a workflow instance, and determining the engine type; based on the engine type, selecting a target runtime adapter, driving the workflow instance to execute in the engine, and establishing a node execution record; when a target workflow node enters a waiting state, writing waiting and recovery information into an extended storage area; upon receiving a recovery advancement request, resuming the template workflow's progress, and verifying and auditing the recovery data; submitting the verified recovery data to the target runtime adapter, driving the target workflow node to complete the recovery advancement and triggering subsequent node scheduling, and outputting unified progress data. This invention can reduce the integration cost when multiple engines coexist, and improve cross-engine collaborative scheduling capabilities and audit traceability capabilities.

The invention relates to the technical field of automatic testing, and discloses a test case execution method and device, equipment and a medium, and the method comprises the steps: obtaining a target test case for testing a test object, and carrying out instruction framework matching on any test step in the target test case to obtain an instruction information framework of any test step; performing test parameter query according to the instruction information framework, and performing test instruction assembly according to a query result of the test parameter query to obtain a test execution instruction for executing any test step; and testing the test object based on the test execution instruction to obtain test result data of the test object based on any test step. The method has the beneficial effects that the test parameters used for testing are inquired by utilizing the instruction information framework matched with the target test case, so that the complete test execution instruction is assembled and used for testing, decoupling management of the test case and the test parameters is realized, and the expandability and universality of the test case are improved.

The application relates to a self-adaptive self-powered flexible sensing device based on triboelectricity and a preparation method thereof, which comprises a flexible device, a charging module and a single-chip circuit board; the flexible device comprises, from top to bottom, a triboelectric layer, an insulating layer, a potential layer and a battery layer; the triboelectric layer is connected with the charging module, the charging module is connected with the battery layer, and the battery layer is connected with the single-chip circuit board. The system collects signals of multiple electrode ports through a single-chip microcomputer and transmits the signals to a mobile phone or a computer terminal through Bluetooth wireless transmission, so that the convenience and expansibility of data acquisition are improved, and real-time monitoring and remote interaction application can be constructed.

The application discloses a flow-adjustable container, which comprises a bottle body for containing a solvent, a first cover body in interference fit with the bottle body, a second cover body screwed on the first cover body, a first through hole and a flow-adjusting column arranged on the first cover body and communicated with the bottle body, and a second through hole arranged on the second cover body and used for containing the flow-adjusting column; during screwing of the second cover body relative to the first cover body, the flow-adjusting column forms a gap with a variable size with the second through hole or completely blocks the second through hole, and the solvent is led out from the gap; the application has the advantages that the flow size can be adjusted according to requirements, and different use scenarios can be met.

The application discloses a data migration processing method and system in a data center. The method comprises the following steps: determining a migration task containing to-be-migrated data, network topology, a target terminal and a processing task; evaluating a transmission time according to the migration task, and entering a migration optimization mode if the transmission time is predicted to exceed a time limit; dividing processing subtasks based on the network topology in the migration task and distributing the processing subtasks to intermediate link devices by the target terminal; intercepting the to-be-migrated data flowing through by the intermediate link devices and processing the to-be-migrated data according to the subtasks, and returning results; and receiving and merging the processing results by the target terminal. According to the judgment of the to-be-migrated data and the actual situation of the network topology in the data migration task, the processing task is divided into multiple subtasks and sent to the network topology for distributed execution of data processing, so that the data is processed while being transmitted, the data migration amount and the total time consumption are significantly reduced, the migration efficiency is improved, and the centralized processing load on the target terminal is reduced.

The invention relates to the technical field of cell biology, in particular to an iNKT cell cryopreservation solution and a method for cryopreserving iNKT cells by using the cryopreservation solution. The invention provides an immune cell cryopreservation solution. The immune cell cryopreservation solution comprises human serum albumin, a basic low-temperature protection solution and an optional human platelet lysate. The immune cell freezing medium does not contain animal-derived components except for human bodies, and has the advantages of simple components and good stability. According to the cryopreservation liquid disclosed by the invention, through the combined action of the basic low-temperature protection liquid (such as CryoStor10 (CS10)) and the human serum albumin, the motility rate after cell recovery is improved, and the damage to immune cells (such as iNKT) in the cryopreservation process is reduced. After a small amount of human platelet lysate is further added, the survival rate of cell resuscitation and the amplification capacity can be further improved.

The application discloses a control method, an energy storage power supply and a storage medium. The energy storage power supply comprises a fan. The method comprises the following steps: acquiring temperature information, noise information and power consumption information of the energy storage power supply, wherein the noise information and the power consumption information are determined based on a duty ratio of a control signal of the fan; calculating a first generation value corresponding to the temperature information, a second generation value corresponding to the noise information and a third generation value corresponding to the power consumption information of the energy storage power supply under different duty ratios of the fan; calculating total generation values corresponding to different duty ratios based on the first generation values, the second generation values and the third generation values corresponding to the different duty ratios; and controlling the fan to operate based on the duty ratio with the minimum total generation value. The fan is controlled to operate according to the duty ratio corresponding to the minimum generation value, so that the energy storage power supply realizes dynamic balance among energy efficiency improvement, use safety and user experience, and the system stability is enhanced. The self-adaptability of the fan under different environments and use scenarios is improved, and the applicability and expansibility of the energy storage power supply are improved.

The present application relates to a kind of groundwater organic pollution tracing analysis method and system based on isotope, the method comprises: collecting the pollutant parameter of monitoring point in multiple time intervals;Build target monitoring point set;Its coverage area is called target area;Based on typical time interval, the pollutant parameter of each monitoring point in analysis target monitoring point set is found to obtain the contour line corresponding to pollutant parameter type;The area in the contour line of each pollutant type high pollutant parameter is regarded as suspected area;Determine target pollution source in suspected area based on isotope parameter.The present application fully utilizes big data monitoring resources from space and time, combines pollutant parameter itself and optimally uses isotope analysis resources, and the tracking of pollution source is guided to provide efficient multi-source burst differentiating pollutant tracing.

The invention discloses a biomedicine standardized cubesat platform and a working method, and relates to the technical field of space.The biomedicine standardized cubesat platform adopts a 3U cubesat framework, the top layer of the 3U cubesat framework is provided with a satellite bus module, the middle layer of the 3U cubesat framework is provided with an energy and environmental control life support module, and the bottom layer of the 3U cubesat framework is provided with a biological experiment module; the satellite bus module is in bidirectional communication with the energy and environment control life support module and the biological experiment module through data interfaces. The satellite bus module further communicates with a ground station; the energy and environment control and life support module supplies energy to the satellite bus module and the biological experiment module through electrical interfaces, and provides oxygen supply, water supply and environment regulation and control support for the biological experiment module through a fluid transmission channel. Through a standardized and modularized cubesat structure, the functions of biological sample culture, environment regulation and control, real-time monitoring, data return and the like are integrated, and a low-cost and quick-response technical support is provided for space life science experiments.

The invention belongs to the technical field of Internet of Vehicles communication, and discloses a heavy diesel vehicle remote monitoring method and system based on edge computing, and the method comprises the steps: constructing a rule engine according to a predefined transmission rule, and deploying the rule engine to an edge computing node; the data stream of the heavy diesel vehicle is transmitted to an edge computing node, a rule engine is used for evaluating each data field in the data stream, a corresponding transmission level is distributed, and the transmission level comprises a first-level field, a second-level field and a third-level field; and matching a preset transmission strategy according to the data field with the allocated transmission level, executing differentiated data processing, and transmitting a processing result to an enterprise cloud platform through a network transmission layer. According to the method, low-value data is filtered in real time through edge calculation, the invalid data uploading amount is reduced, and data transmission is reduced; in addition, through a high compression ratio and a delay transmission technology, the bandwidth occupation of low-value data is reduced, and the utilization efficiency of network resources is optimized.

This utility model discloses a coating machine for processing silicone protective film, including a coating frame, a transmission roller group, a coating seat, a pressing mechanism, a feeding end seat, a feeding mechanism, a discharge end seat, and a winding mechanism. The transmission roller group is arranged on the surface of the coating frame. A coating seat is arranged on one side of the top surface of the coating frame. A pressing mechanism is arranged on one side of the coating seat. A feeding end seat is installed on one side of the pressing mechanism. A feeding mechanism is arranged above the surface of the feeding end seat. A discharge end seat is arranged below one side of the outer wall of the coating frame. A winding mechanism is arranged above the surface of the discharge end seat. The feeding mechanism and the winding mechanism have the same structure. A traction roller is installed at one end of the coating frame. This silicone protective film coating machine improves coating efficiency and uniformity. The connection design between the various components is reasonable, facilitating disassembly and cleaning. In particular, the identical structure of the feeding mechanism and the winding mechanism makes maintenance simpler.

A question and answer method, device, medium, equipment and program product based on multiple agents, relating to the technical field of agents and artificial intelligence, the question and answer method comprises: obtaining a target type to which a first target question belongs through a first agent; planning based on the first target question through a second agent corresponding to the target type to obtain a target plan, the target plan comprising an executor set for implementing each subtask, and a tool calling step of a third agent in the executor set calling an associated tool to implement a corresponding subtask; and executing the target plan to call the tool associated with the third agent to implement the subtask according to the tool calling step of the corresponding subtask through the third agent in the executor set, and the calling result of the tool is used to generate a reply content of the first target question, different agents implement processing of different nodes in the question and answer, so that the overall scheme has higher flexibility and scalability.