219 results about "User state" patented technology

The invention provides a method and system for achieving CUDA call tracking based on an eBPF, and relates to the field of GPU call tracking of the eBPF. The method comprises the following steps: dynamically mounting an eBPF program at an API function entry and an API function exit of a user mode CUDA runtime library through an uprobe technology of the eBPF; the eBPF program captures metadata of the CUDA API calling event in a kernel mode and packages the metadata into a predefined structural body; asynchronously transmitting the structural body data to a user mode through an annular buffer area; and calling a standard function library by a user mode program to load an eBPF program, reading data in the annular buffer area in real time, and completing analysis and visual display of a CUDA calling event. According to the method, the calling parameter, the return value and the nanosecond timestamp are effectively captured, and the observability and the debugging efficiency of the GPU application program are improved.

The invention discloses an operating system containerization kernel compatibility method based on shadow structure mapping, which comprises the following steps of: constructing a multi-dimensional mapping rule base by analyzing the difference of data structures between a container system and a standard system, and creating a shadow structure comprising a data area, a metadata area and an expansion area when the container system runs on a host system; the host system allocates a shadow memory space and a memory pool, establishes mapping between a shadow structure and a physical memory page and bidirectional mapping between the shadow structure and a host structure, intercepts system call of a container application, obtains a target structure and allocates a shadow structure and a host structure memory, and sends the shadow structure and the host structure memory to the host system; according to the method, conversion from the target structure to the host structure is completed according to the multi-dimensional mapping rule base, the host machine completes calling through the host structure, then the calling result is reversely converted into the target structure and returned to the container application, and seamless compatibility of the container system and the host system is achieved under the condition that a user mode program of the container system is not modified.

A method for managing a state of a user includes: receiving a first dataset from a client, in which the user performs an activity using the client; obtaining a second dataset from a database; analyzing the first dataset and the second dataset to generate a unique digital identifier (DI) for the user; analyzing, based on a predetermined threshold, the first dataset and the second dataset to extract relevant data; making a determination that the predetermined threshold is violated; providing, based on the determination, the relevant data and the unique DI to a first infrastructure node (IN); in response to the providing, receiving a recommendation from the first IN to mitigate an issue associated with the user, in which the recommendation is generated for the unique DI; and sending the recommendation to the client to manage the state of the user.

The invention discloses a data zero-copy processing method and system based on an eBPF zero-trust gateway, and belongs to the technical field of computer network security. According to the method, an XDP program is loaded on a network card driving layer, and an AFXDP technology is combined to construct a kernel mode and user mode shared memory pool UMEM; when an original message arrives, an eBPF unit mounted by an XDP program intercepts the message in real time, a tunnel packaging space is reserved in situ in an original memory, and if the head space is insufficient, a new memory page is logically mapped from a UMEM standby buffer pool to achieve extension. Identity fingerprints are generated by extracting message feature vectors, load in-situ encryption is completed in cooperation with a kernel kTLS module, and data are prevented from being returned to a user mode for processing. According to the method, multiple copying and context switching of a kernel-user mode of a traditional SSL VPN are eliminated, the throughput is improved by 2-3 times, the delay is reduced to the microsecond level, the CPU utilization rate is reduced by 40% or above, application layer DDoS attacks are effectively defended, and the method is suitable for 5G edge computing and cloud native zero-trust gateway scenes.

The invention relates to a function operation duration detection and stack automatic collection method and device based on an eBPF technology, and aims to solve the problems that a traditional tool cannot accurately monitor function operation timeout, cross-state stack collection lags and the like. The method comprises the steps that an eBPF program is injected into an objective function (a kernel mode passes through kprobe, and a user mode passes through uprobe) entry, and a thread PID / TID and an entry timestamp are recorded into an eBPF hash table; registering a periodic perf event to trigger timed detection, calculating a function operation time length and comparing the function operation time length with a threshold value; when overtime triggering is carried out, a kernel mode stack and a user mode stack are synchronously collected through bpfgetstackid, and after an event is packaged, the kernel mode stack and the user mode stack are reported to the user mode through bpfperfeedback; and analyzing and displaying the stack in the user mode. The scheme has the advantages of non-return dependency detection (covering a blocking scene), cross-state tracking (kernel / user state function), low-overhead event driving (adapting to a production environment), cross-state stack association (accurately positioning a jamming root), low intrusion, high real-time performance and the like, and the system performance analysis efficiency is effectively improved.

The invention discloses a user behavior analysis feedback method for immersive digital interaction, and relates to the technical field of man-machine interaction, and the method comprises the steps: obtaining interaction state data of a target user in an immersive digital interaction environment, and constructing a user state sequence according to the interaction state data; dividing the user state sequence into a plurality of analysis units according to a preset time length, determining a current behavior mode of the target user according to a state density value in each analysis unit and a state transition value between adjacent analysis units, and generating a feedback control signal corresponding to the current behavior mode; and according to the feedback control signal and the current position of the target user in the immersive digital interaction environment, generating spatial positioning feedback content and rendering the spatial positioning feedback content to the immersive digital interaction environment. According to the method and the device, accurate recognition of the user behavior mode is realized, differentiated spatial positioning feedback is generated according to different behavior modes, and the problem that the user behavior state is difficult to perceive and guide in real time in an immersive environment is solved.

The invention discloses a large model training dynamic memory management method based on a multilayer hierarchical cache mechanism, and relates to the technical field of computer system architecture and storage. The method is managed on the basis of a dynamic heterogeneous memory unloading system, and comprises the following steps of: in an initial stage of a training task, constructing a user state access path, establishing a TensorID-LBA mapping table, and performing hierarchical caching and threshold presetting; in the training task running stage, the access popularity of each tensor is evaluated in real time; when occupation of the GPU video memory cache layer exceeds a threshold value or cold data is detected, a dynamic migration strategy is triggered, and the low-frequency tensor is unloaded to a CPU memory cache layer or an SSD storage layer; when the tensor access popularity is improved, automatically migrating back to a high-performance layer through a prediction mechanism; in the process, tensor self-adaptive migration is executed by a user mode I / O thread pool. According to the method, the high-performance I / O stack is constructed in the user mode, and the adaptive tensor unloading and hierarchical caching mechanism of the multi-layer heterogeneous memory is combined, so that the universal deployment of the system is realized.

The invention discloses a node distribution method and system for a GPU (Graphics Processing Unit) use process in an NUMA (Non Uniform Memory Access) environment, and the method comprises the following steps: in a kernel mode, capturing an event that the process executes a new program and collecting meta-information of the process through an eBPF program mounted at a system call entry tracking point, and judging whether the process is a target GPU process or not based on the collected meta-information of the process; if the process is the target GPU process, transmitting meta-information of the process to a user mode, and if the process is not the target GPU process, ending and exiting; and for the meta-information transmitted to each target GPU process of the user mode, reading the meta-information of the target GPU process through the user mode daemon process, evaluating each node in the NUMA environment based on a preset node allocation rule, selecting an optimal NUMA node, and binding the target GPU process to a CPU of the optimal NUMA node for execution. The GPU computing efficiency and the resource utilization rate can be improved.

The invention discloses a method for ensuring hard real-time in a Linux user mode based on a multi-core CPU, and belongs to the technical field of embedded systems. According to the method, a Linux kernel is configured to be in a completely preemptable mode, user threads with the number equal to that of CPU kernels are created and bound to different kernels, a real-time scheduling kernel is selected, the thread scheduling strategy of the real-time scheduling kernel is set to be SCHEDFIFO, the priority of the real-time scheduling kernel is equal to that of the lowest-priority soft interrupt, the thread stack space is locked, the real-time kernel is isolated through kernel parameters isolcplus and nohzfull, and the cost of tick is avoided. Finally, the real-time core is exclusively used for executing the real-time task. According to the scheme, the problem that the real-time performance of the Linux user state task is poor due to the fact that a kernel cannot be preempted, scheduling delay, memory page changing, system interference and the like is effectively solved, and extremely low delay and high certainty of user state task response are ensured through multi-level collaborative optimization.

The invention discloses an intelligent desktop management system and a dynamic resource allocation method. The intelligent desktop management system comprises a main control module; a multi-mode sensing module; a resource execution module; a man-machine interaction module; the dynamic resource allocation method comprises the following steps: S1, sensing and fusing multi-source data; s2, performing multi-level identification on a user state and an intention; s3, dynamic resource mapping based on a strategy library; and S4, performing cooperative control and instruction execution. According to the intelligent desktop management system, user states, behaviors and environment data are collected in real time through the multi-mode sensing module, a dynamic resource allocation method is combined, resource requirements are accurately mapped to cooperative control of units such as a displayer, a lighting unit and a power source, the energy allocation unit supporting the USBPD protocol can dynamically adjust power output, and the intelligent desktop management system is high in practicability. And the energy utilization efficiency is maximized.

The invention relates to a system calling ptrace-based operating system micro-service security protection system and method, which are characterized in that the running state of micro-service is monitored in real time through calling of a ptrace system in a user state, and dynamic integrity verification is realized in combination with an SM3 hash algorithm. The method comprises the following steps: calculating an SM3 hash value of a code segment of a micro-service when the micro-service is started, storing the SM3 hash value as a static reference, periodically reading memory data of a target process through ptrace in a running process, recalculating a dynamic hash value, and comparing the dynamic hash value with a reference value; if it is detected that the hash values are inconsistent, it is judged that code injection attacks exist, and a defense mechanism is triggered. According to the method, the system stability risk caused by kernel module injection is avoided, meanwhile, real-time interception of tampering attacks during operation is achieved through high-frequency dynamic comparison, the lightweight design enables the method to be suitable for high-reliability scenes such as spaceflight with limited resources, the integrity of a micro-service code segment can be guaranteed, low performance loss of the system can be maintained, and the system reliability is improved. The balance blank between dynamic defense and system stability in the prior art is effectively filled.

The invention discloses an EtherCAT master station synchronous control method and system based on a microkernel operating system, and belongs to the technical field of industrial automation field bus control. According to the system, a microkernel architecture is adopted, an EtherCAT protocol stack and a universal network protocol stack are deployed as two independent user mode processes, and data interaction is carried out through an inter-process communication and shared memory mechanism provided by a microkernel. According to the method, through a bidirectional dynamic clock compensation mechanism, static compensation in an initialization stage and dynamic compensation in an operation stage of a system are combined; a dynamic task scheduling strategy based on load awareness is adopted, and the task execution sequence is dynamically adjusted according to the CPU utilization rate and the task priority monitored in real time; a hardware redundancy design of double clock sources and double communication links is introduced, and a progressive synchronous recovery strategy is adopted during switching. According to the invention, nanosecond-level synchronization precision and microsecond-level fault switching can be realized, and the method is suitable for industrial control scenes with extremely high requirements on real-time performance and reliability.

Aspects relate to apparatuses and methods for individualized polygraph testing. The apparatus including at least an interface configured to communicate questions to the user, at least a sensor configured to detect biofeedback signals as a function of a biofeedback of a user, wherein the biofeedback is associated with at least an answer to at least a question, and at least a computing device including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive the biofeedback signals, generate a user state classifier, train the user state classifier as a function of a user state training set, wherein the user state training set includes biofeedback signals correlated to answers of known veracity, and classifying a biofeedback signal of the biofeedback signals to a user state as a function of the user state classifier.

An emotion-aware computing operating system integrates multimodal sensory inputs, stratified memory, cyclehit scoring, and history score values to predict user tasks, orchestrate autonomous cognitive agents, and adapt interface outputs in real time. A prediction module applies cyclehit scoring derived from historical task cycles and weighted history score values to forecast workflows.An orchestration kernel selects and coordinates agents, redistributes subtasks, and negotiates dynamically under cognitive load. A stratified memory fabric maintains ephemeral, situational, and long-term user models for personalization. An adaptive interface layer adjusts informational density and tool availability based on inferred user state. A certification and licensing API enforces agent onboarding, compliance, and monetization policies, requiring registration of performance metrics prior to integration. Embodiments include software, cloud, edge, and robotic platforms, enabling monetizable deployment across healthcare, finance, education, enterprise, and ambient device ecosystems.

The invention provides a GPU performance analysis method and device, electronic equipment, a medium and a product. The method comprises the steps that a kernel mode program responds to a data acquisition instruction triggered by a user mode process, and a target buffer area and a user mode read pointer corresponding to the data acquisition instruction are determined; the user mode reading pointer represents the reading progress of the user mode process for the target buffer area; the kernel mode program compares the user mode read pointer with the kernel mode read pointer and returns a comparison result to the user mode process; the user mode process obtains the target data from the target buffer area according to the comparison result, so that the user mode process performs GPU performance analysis based on the target data; wherein the kernel mode read pointer is used for representing the effective address range of the target buffer area. According to the method, a plurality of performance analysis tools or a plurality of process instances in the same performance analysis tool can be supported to perform concurrent data acquisition and analysis on the buffer area corresponding to the same GPU at the same time, so that the performance analysis efficiency is improved.

The invention belongs to the technical field of task scheduling of a storage system, and discloses a user-mode-oriented storage task self-adaptive scheduling method and system, and a more efficient task processing framework is realized by replacing an original kernel thread-based storage task scheduling scheme with a user-mode coroutine scheduling mechanism. The multi-level priority queues are directly managed in task scheduling, and CPU core binding configuration is carried out, so that the switching delay of a user mode / kernel mode is reduced, and the task execution controllability is improved. A dual-threshold self-adaptive scheduling strategy switching technology is introduced, and a greedy scheduler and a reinforcement learning scheduler are combined, so that the problem of adaptability of a static scheduling strategy in a dynamic load environment is relieved, performance loss caused by scheduling strategy solidification is avoided, and the self-adaptive capability and service quality guarantee of a system under a complex load are improved. Compared with an existing task scheduling method based on a kernel thread, the task scheduling method has the advantages that the overall performance and the resource utilization rate of a storage system can be remarkably improved while the task execution efficiency and the SLA requirement are guaranteed.

Examples are disclosed that relate to computer-based tracking of a process performed by a user. In one example, multi-modal sensor information is received via a plurality of sensors. A world state of a real-world physical environment and a user state in the real-world physical environment are tracked based on the multi-modal sensor information. A process being performed by the user within a working domain is recognized based on the world state and the user state. A current step in the process is detected based on the world state and the user state. Domain-specific instructions directing the user how to perform an expected action are presented via a user interface device. A user action is detected based on the world state and the user state. Based on the user action differing from the expected action, domain-specific guidance to perform the expected action is presented via the user interface device.

The invention discloses a browser sidebar intelligent assistant interaction method and system, and relates to the technical field of man-machine interaction, and the method comprises the steps: obtaining webpage data according to webpage context information, obtaining interaction data from a user interaction record, and obtaining user emotion data through the interaction data; generating a task recommendation queue based on the webpage data, the interaction data and the emotion data by using a multi-dimensional reasoning method, and generating candidate interaction items according to the task recommendation queue and the user emotion data; receiving an instruction input by a user through the candidate interaction item, generating an analysis result in combination with the webpage data, executing a preset task corresponding to the analysis result, and obtaining task result data; and selecting a visualization template according to the task result data and the user emotion data to output a task result, and updating the user personalized configuration and the semantic memory library. The method is used for solving the problems that traditional browser assistant task recommendation lacks pertinence, and the matching degree of interactive experience and user states and preferences is low.

A system S comprises a server 3 and HMDs 4. The server 3 comprises a composite space generation unit 31b that generates composite space, a user environment determination unit 32 that determines space to be recognized by each user via his HMD 4, a user state recognition unit 33 that recognizes a motion of the user, a trigger event recognition unit 35 that recognizes a trigger event which is a motion performed by the user to a virtual object, and a virtual space generation unit 37b that generates virtual space. When the trigger event is recognized, the user environment determination unit 32 causes the user to recognize the virtual space instead of the composite space.

The embodiment of the invention provides a memory leak detection method and device, equipment and a storage medium, and relates to the technical field of operating systems and performance tuning. The method comprises the following steps: monitoring memory allocation and release operation of a process by adopting a probe program; collecting memory use information of a stack of the process on memory allocation and release operation; through a collaborative caching mechanism of a kernel mode and a user mode, sharing memory use information to the user mode, and analyzing the memory use information in the user mode to obtain a comprehensive hotspot score representing a memory occupation growth trend of a stack; and determining whether the stack has memory leak according to the comprehensive hotspot score. Based on the method, whether the memory leaks or not can be accurately detected under the condition of low performance overhead.

The invention relates to a software and hardware combined fine-grained memory protection mechanism, which realizes high-speed mapping from a physical address to a fine-grained permission label by integrating a metadata search unit and a metadata conversion lookup buffer on a critical path of a processor loading / storage unit. An operating system maintains a multi-level fine-grained permission metadata table in a main memory, and the minimum memory protection granularity is refined to a 64-byte sub-page level. When a processor executes a memory access instruction, address conversion and permission verification are completed in parallel, an access type and a permission label are compared in real time within 1-2 clock periods, and when permission conflicts are detected, high-priority abnormity is triggered immediately, and illegal addresses and fault types are reported accurately. The method supports instruction set extension, buffer overflow protection, multi-level metadata management and user mode and kernel mode differentiated authority control, reduces the influence on the performance of the processor while improving the security of the memory, and is suitable for a computing system with high security and high performance.

The application relates to the technical field of image display, and discloses a picture jitter compensation method, which comprises the following steps: acquiring a user state of a current user, determining whether the user state is a motion state, identifying a user intention of the user when the user state is the motion state; when the user intention is to view a user terminal carried by the user, acquiring a first instantaneous acceleration of the user terminal in an x-axis direction and a second instantaneous acceleration of the user terminal in a y-axis direction respectively, calculating a first jitter displacement of the user terminal according to the first instantaneous acceleration, and calculating a second jitter displacement of the user terminal according to the second instantaneous acceleration; and rendering a display interface of the user terminal according to the first jitter displacement and the second jitter displacement to obtain a motion compensation picture of the user terminal. The application also discloses a picture jitter compensation device, an electronic device and a computer storage medium. The application realizes automatic jitter compensation of the user terminal, improves picture compensation precision, and improves user experience.

The invention discloses an active intelligent dialogue pushing method and system based on user state perception, and belongs to the technical field of computers. The method comprises the steps of obtaining a trigger event; extracting multi-dimensional state information of the user according to the trigger event and the historical interaction data to obtain a structured snapshot; generating an action sequence according to the plurality of structured snapshots; searching according to the action sequence to obtain candidate contents; and screening high-score contents from the candidate contents for pushing. According to the user behavior analysis and active dialogue decision-making mechanism based on the time sequence state snapshots, the state timeline is formed by continuously generating the user state snapshots containing multi-dimensional information (demands, emotions and trends), the active dialogue opportunities are intelligently recognized based on the change mode of the state sequence, the information is planned, and the action sequence is obtained. And high-quality personalized dialogue content is generated.

The application discloses an operating system containerization kernel compatibility method based on shadow structure mapping, constructs a multi-dimensional mapping rule library by analyzing the difference between the data structure of a container system and a standard system, creates a shadow structure containing a data area, a metadata area and an extension area when the container system runs on a host system, allocates shadow memory space and a memory pool by the host system, establishes the mapping between the shadow structure and a physical memory page and the bidirectional mapping between the shadow structure and a host structure, intercepts the system call of a container application by the host system, obtains a target structure and allocates the shadow structure and the host structure memory, completes the conversion of the target structure to the host structure according to the multi-dimensional mapping rule library, completes the call by the host computer using the host structure, reversely converts the call result into the target structure and returns the call result to the container application, and realizes the seamless compatibility between the container system and the host system without modifying the user state program of the container system.

The application relates to a service device and a database event processing method, which are applied to the technical field of databases, and the service device comprises a controller which is configured to: in the process of executing an SQL statement by a database process, enter a kernel state through a system call to execute a kernel function through a target CPU core; in the process of executing the kernel function, trigger a corresponding eBPF mounting point to run an eBPF program on the target CPU core; capture a target database event by executing the eBPF program; write target event data corresponding to the target database event into a target array buffer corresponding to the target CPU core; and in the case that event attribute information corresponding to the target array buffer meets a target condition, batch submit a plurality of event data in the target array buffer to a user state program. The performance overhead caused by frequent switching between the kernel state and the user state is reduced, and the running performance of the database itself is improved.

The application discloses an EtherCAT master station synchronization control method and system based on a microkernel operating system, and belongs to the technical field of industrial automation fieldbus control. The system adopts a microkernel architecture, deploys an EtherCAT protocol stack and a general network protocol stack as two independent user state processes, and carries out data interaction through an inter-process communication and shared memory mechanism provided by the microkernel. The method combines static compensation in the system initialization stage and dynamic compensation in the running stage through a bidirectional dynamic clock compensation mechanism, adopts a dynamic task scheduling strategy based on load sensing, dynamically adjusts the task execution order according to the real-time monitored CPU usage and task priority, introduces a hardware redundancy design of double clock sources and double communication links, and adopts a gradual synchronization recovery strategy during switching. The application can realize nanosecond-level synchronization accuracy and microsecond-level fault switching, and is suitable for industrial control scenes with extremely high real-time and reliability requirements.

The invention relates to the technical field of mobile internet, and discloses a cross-end login state synchronization method and device based on a signature chain and a medium, and the method comprises the steps: carrying out the identity verification of a target user through a login state parameter; when the verification result is that the verification is passed, generating a target identifier corresponding to the login request; dynamically adding the target identifier to a resource positioning address of a business page corresponding to the page jump request; extracting a target identifier in the resource positioning address according to the initialized service page, and performing validity verification on the target identifier; when the target identifier passes the verification, generating an access token of the target user, and writing the access token into the browser terminal; and determining a target service request of a target user through the access token written into the browser terminal, performing parameter analysis on the target service request, and synchronizing a user state of the target user to a service end corresponding to the target service request according to the analyzed parameters. According to the invention, the security during login state synchronization can be improved.

The application provides a data sampling method and device based on multi-dimensional load adaptation, the method comprising: acquiring system load data, target process load data and collector load data, and calculating a comprehensive load factor; storing captured multi-dimensional events into a per-CPU ring event stack in a kernel state, performing time sequence alignment on events of the same tracking identifier based on a time wheel time sequence index structure to generate composite data; and dynamically adjusting a time wheel granularity and a maximum waiting window according to the comprehensive load factor, and reporting the composite data to a user state for data sampling. The application can reduce inherent scheduling delay and data copying overhead associated with the user state, achieve cross-CPU event association while ensuring write performance, achieve dynamic balance between alignment accuracy and processing efficiency, and achieve adaptive change of kernel state processing overhead with system load.

The invention discloses a state sensing method, wearable equipment, a storage medium and a program product, and relates to the technical field of wearable equipment, the state sensing method is applied to the wearable equipment, and the method comprises the following steps: determining whether a user fixation point is in a content display range of the wearable equipment through a preset eye movement tracking module; under the condition that the user fixation point is in the content display range, monitoring the fixation time of the user fixation point; determining whether the attention of the user is concentrated in a content display range or not according to whether the watching time exceeds a preset time threshold value or not; and outputting external prompt information under the condition that the attention of the user is focused on the content display range. According to the method and the device, the user state is sensed in real time, and the external prompt information which can be sensed by surrounding people is output, so that the external interaction use convenience of the wearable equipment is improved.

The invention provides a marketing method and system, electronic equipment, a storage medium and a program product. The marketing method comprises the steps that user information of registered users is acquired; distinguishing user states of different users according to the user information; a corresponding marketing strategy is determined according to the user state, different short message contents are correspondingly sent to users in different states according to the marketing strategy, and the different short message contents comprise different right resources. According to the method and the device, the user states of different users are distinguished in advance, and the corresponding short message content is sent according to the user states, so that the problem that a large number of interaction requests are sent to invalid users is solved, the order conversion rate is improved, and invalid marketing is reduced.