8 results about "Physical level" patented technology

The invention relates to the technical field of computer hardware security, in particular to a secure startup hardware root of trust module integrated on a mainboard and a verification method, comprising the following steps: establishing a trusted environment by the hardware root of trust module after being powered on, and actively acquiring original data of firmware to be verified through a private bus of the mainboard, and performing isolation measurement and verification in the internal security area. And after the verification is passed, generating a security start token containing a temporary session key, and transmitting the security start token to a next-level component. And the next-level component needs to send a certificate confirmation request, the system control right is released after the certificate confirmation request is verified again by the hardware module, and then the hardware module enters a silent monitoring state. According to the method, the authenticity of the measurement source data is ensured from the physical level, dynamic transmission and continuous maintenance of trust are realized through a two-way confirmation mechanism, and the capability of defending firmware tampering and persistent attack of a system bottom layer is effectively improved.

This invention relates to the field of robotics, and more particularly to a highly realistic humanoid robot based on a hybrid wheel-foot drive system, comprising a torso module, a wheel-foot module, and a control module. The wheel-foot module includes a foot-like subunit for walking, and sliding wheels that are movably nested on it via a transmission subunit to perform sliding. The control module coordinates mode switching and balance. The sliding wheels are raised and lowered independently through a transmission mechanism, completely decoupling the kinematic interference between the wheel and foot at the physical level, ensuring efficient and seamless switching between the two modes. In addition, relying on the underlying coupling algorithm, the wheel-foot torque is finely adjusted, and when facing the tipping point, the upper limbs can be instantly linked to brace the ground, the sliding wheels can be reversed, and the internal counterweights can be moved forward to force a reconstruction of the physical center of gravity. This greatly reduces the robot's fall rate from the mechanical source, effectively giving the entire robot unprecedented all-terrain dynamic anti-rollover capability and safety redundancy for actual combat operations.

The application relates to the field of circuit fault simulation and technical training, and discloses an optoelectronic instrument circuit system simulation and training platform, which comprises a basic circuit simulation panel, a micro-environment physical stress simulator, a dynamic parameter adjustment network and a fault evolution and injection control unit. According to a preset fault cause-effect chain script, the fault evolution and injection control unit cooperatively controls the micro-environment physical stress simulator and the dynamic parameter adjustment network, so that a complete main fault cause-effect chain triggered by a physical inducement, continuously drifted by circuit parameters and finally manifested as functional abnormality is reproduced with high fidelity at a physical level. By combining the dynamic evolution of the fault with the interactive response of the diagnosis behavior, a training closed loop from phenomenon observation to operation consequence feedback is constructed, the authenticity and seriousness of the training are significantly enhanced, and the system analysis ability and standard operation consciousness of learners are effectively improved.

The invention discloses an APM flexible marshalling method adopting a redundancy architecture, which automatically starts a guarantee mechanism for taking over a core function by standby resources in a normal state when a train network control system encounters a single-point fault through a multi-level design of hardware backup, software verification and communication fault tolerance. By the adoption of the technical scheme, emergency stop of a train can be avoided, operation parameters are maintained to be stable through seamless transition, it is ensured that output of key systems such as traction, braking and signal control is not suddenly changed, violent jolting caused by sudden fluctuation of power or braking is fundamentally eradicated, and then safety risks such as falling and collision of passengers are prevented; operation continuity is achieved, and outage events caused by single-point faults do not exist within a certain period of time; and the riding safety is high, sudden acceleration and sudden braking possibly caused by fault switching are thoroughly avoided by maintaining smooth transition of parameters such as braking pressure and traction power, and the risk that passengers fall down is eliminated from the physical level.

The invention discloses an intelligent multi-model cooperative scheduling method which is executed on independent hardware scheduling equipment deployed in a local environment, the independent hardware scheduling equipment is connected with a front-end intelligent agent and a plurality of rear-end large language models through physical interfaces, and relates to the technical field of artificial intelligence system architecture. Scheduling logic is deployed in independent hardware scheduling equipment in a local environment, and the independent hardware scheduling equipment is directly connected with a front-end agent, namely a task initiating end, and a plurality of rear-end large language models, namely task executing ends, through physical interfaces to serve as a task scheduling carrier; it is ensured that user data is not leaked in the scheduling process from the physical level, enterprise-level data security compliance requirements are met, and the data security problem which cannot be ensured by a software scheme is relieved; and real-time scheduling decision and load monitoring are realized through the dynamic scheduling model, so that the efficiency and precision of multi-model cooperative processing are greatly improved.

Methods, systems, and devices for wireless communication are described. A user equipment (UE) may send an indication of one or more mask parameters associated with a repair scheme to a receiving device. The UE may remove a portion of the image data from the image according to one or more mask parameters of the repair scheme to obtain a masked image having a smaller amount of image data than the image. The UE may compress the mask image according to a compression scheme to obtain a compressed image having a smaller amount of image data than the mask image based at least in part on the compression. The UE may transmit the compressed image to the receiving device.

This invention provides a data encryption and privacy protection method and system for the gaming industry, belonging to the field of data security technology. The method includes: acquiring dynamic classification tags, real-time threat alerts, game scene information, and user behavior context information; calculating data sensitivity indicators, attack threat indicators, and contextual risk factors based on these and performing weighted adjustments, obtaining a comprehensive risk value through adaptive weighted fusion; when the comprehensive risk value exceeds a dynamic threshold, activating a memory non-resident protection strategy, deleting the original data from regular memory and storing it in an isolated area; verifying the legitimacy of access, instantly decrypting and loading the data after successful access, and immediately erasing it; exiting the strategy when the comprehensive risk value is below the threshold and remains stable for a preset time. This invention achieves dynamic adaptive adjustment of the encryption strategy, eliminating the risk of memory data being scanned and stolen at the physical level, and achieving a balance between security and system performance.

The invention relates to the technical field of containers, in particular to a GPU (Graphics Processing Unit) video memory dynamic isolation method based on a container technology, which comprises the following steps of: intercepting a video memory allocation request instruction of a GPU driving layer according to a container virtualization runtime environment, establishing a circular queue structure, generating a container video memory occupation time sequence queue, and calling the container video memory occupation time sequence queue. And calculating and generating a video memory pressure sensing fluctuation index. According to the method, scattered occupied video memory blocks are moved and merged on the physical level by hanging up the container instruction stream and calling the GPU internal copy instruction, fragment holes in a physical video memory are eliminated, then a virtual address mapping pointer is updated, instruction execution is recovered, the space layout of the video memory is dynamically optimized on the premise that the container does not need to be restarted or service logic does not need to be interrupted, and therefore the space layout of the video memory is optimized. The continuous distribution capability and the overall utilization efficiency of the GPU video memory are improved, and the calculation stability and the resource isolation effect in a multi-task concurrent scene are guaranteed.