8 results about "Critical system" patented technology

This invention relates to a log management method and a log management system. Embodiments for reliable, safety-critical system logs are disclosed. In one embodiment, a method includes: obtaining data to be added to a log; creating entries for the data; and adding the entries to a linked sequence of entries in the log, wherein the linked sequence of entries includes a plurality of data entries and a plurality of sentinels intertwined with the plurality of data entries, wherein each data entry in the entry chain is appended to an error detection code calculated for that entry and a previously calculated error detection code or error detection root of the preceding data entry, and each sentinel in the entry chain includes an error detection code calculated for that sentinel and a previously calculated error detection code or error detection root of the preceding data entry, and each sentinel includes a previously calculated and encrypted blockchain value or blockchain root value of the preceding sentinel.

Disclosed is a system (100) and a method (500) for hot dip galvanization using compressed biogas (CBG) as fuel for heating the zinc kettle maintained at 450 ± 10°C. The system (100) comprises a gas delivery module (200), an electronic monitoring and control module (300), and an ignition module (400) communicatively and operably connected. The gas delivery module (200) carries out a stagewise reduction in the CBG pressure. The electronic monitoring and control module (300) receives values from a plurality of sensors to provide a signal to a variable frequency drive (305) to adjust the pressure of air supplied by a combustion blower to achieve a predefined temperature of the zinc kettle. The system (100) and the method (500) reduce dependence on fossil fuels, minimizing the waste going to landfills, and improving real-time visibility of critical system parameters, facilitating better decision-making.

A method for discriminating, by a first destination client entity, requests in a communication network according to the 3GPP MCS “3rd Generation Partnership Program Mission-Critical System” standard, wherein the requests received by the destination client entity include a first mission-critical service request originating from the non-controlling server of the second communication group and a second mission-critical service request originating from the non-controlling server of the third communication group, each request received including at least one piece of belonging group information of the non-controlling server emitting the request.

This invention discloses a data security detection method based on memory instruction execution sequences, specifically relating to the field of data security detection technology. It constructs a multi-level cumulative distribution function model by collecting the execution time of memory instruction sequences; records execution samples and calculates dynamic fluctuation coefficients during runtime using a sliding window mechanism; generates a risk score by combining the matching results of multiple cumulative distribution function models with the fluctuation coefficients; identifies abnormal trends through a time integration mechanism; and, after determining potential abnormal behavior, collaboratively adjusts the boundary model of the cumulative distribution function model to achieve adaptive model evolution. This method can effectively identify slowly evolving or boundary-drift attacks, improving detection accuracy and system robustness, and is applicable to various resource-constrained embedded devices or security-critical systems.

The application provides a task-critical system operation strategy optimization method for performing heterogeneous tasks, and belongs to the field of system operation strategy optimization. The method comprises the following steps: obtaining posterior distribution of arrival rate and task quantity based on prior distribution of arrival rate and task quantity of each task and new information of the task, and obtaining hyperparameter updating rule and sufficient statistics; describing the degradation process of the system and designing system mode switching strategy and load adjustment strategy; constructing mode switching strategy and load adjustment strategy optimization model based on semi-Markov decision process framework; solving the optimization model by using an improved algorithm to obtain optimal mode switching strategy and load adjustment strategy when each task is completed. The application fully considers cognitive uncertainty caused by unknown parameters in the task arrival process and the task quantity distribution and system accidental uncertainty caused by the dependent relationship between load and degradation, establishes the structural characteristics of the optimal strategy, and realizes optimal strategy solving based on the structural characteristics.

This invention provides a method for scheduling tasks in a multi-core hybrid critical system based on dynamic budgeting, comprising: initializing the hybrid critical system; obtaining a set of tasks to be scheduled in the hybrid critical system; assigning a unique local scheduler to each high-critical task; assigning low-critical tasks to their corresponding local schedulers; marking a task as a migration task when it cannot be handled by a single local scheduler; allocating an initial execution budget to tasks during the operation of the hybrid critical system; scheduling high-critical and low-critical tasks when the local scheduler is in low-criticality mode; increasing the criticality of the scheduler when a high-critical task cannot be completed within the allocated budget; and triggering scheduler criticality rollback when the local scheduler is in high-criticality mode and preset conditions are met. This invention can ensure the real-time performance and security of high-critical tasks while providing a controllable and flexible execution space for low-critical tasks.

The application discloses a deadline-constrained imprecise mixed critical system scheduling feasibility analysis method, which comprises the following steps: determining a system mode conversion strategy according to a deadline-constrained imprecise mixed critical task scheduling model; obtaining sufficient conditions for scheduling feasibility of the imprecise mixed critical system in a low mode; determining processor requirements of low critical level jobs according to a first preset formula or a second preset formula, and then calculating processor requirements of low critical level tasks τ i in the high mode; determining processor requirements of high critical level jobs according to a third preset formula, and then calculating processor requirements of high critical level tasks τ j in the high mode; and obtaining sufficient conditions for scheduling feasibility of the imprecise mixed critical system in the high mode according to the relationship between the length of a task interval and the processor requirements of the imprecise mixed critical task set Γ in the high mode. The deadline-constrained model is used to analyze and determine the processor requirements of the tasks by using a requirement limiting function, so that the scheduling feasibility of the system is improved.

There is provided an apparatus comprising receiving, from a primary mission critical system, one or more user profile configuration documents comprising information identifying one or more partner mission critical systems to which the user equipment can migrate, and a respective one or more user equipment initial configurations associated with each of the one or more partner mission critical systems; selecting a partner mission critical system to migrate to from among the one or more partner mission critical systems; selecting, from the received one or more user profile configuration documents, a user profile configuration document for use in the migration; and based on the selected user profile configuration document, performing migration to the selected partner mission critical system.