12 results about "Awareness information" patented technology

The invention discloses an awareness perception quantum gravitational nerve acceleration unified computing platform and method based on formalized verification, and belongs to the field of high-performance computing, medical AI and quantum information processing. A quantum gravitational coupling neural processing unit (QGCNPU); a consciousness information integral calculation core (phi ICC); formalizing a receipt chain verifier (FRCV); and the mirror reflection symmetry correction module (MRSCM) is used for eliminating the continuous projection mistake and the discrete Boolean mistake through topological equivalence verification of a local observer and a global GodCam visual angle. The system adopts an FPGA + ASIC + quantum processor three-layer heterogeneous architecture, and supports real-time pathological modeling (precision gt; gt) of neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease and ALS; 99.7%), drug target discovery (acceleration by 50 times) and consciousness state monitoring (time resolution lt; and meanwhile, the mathematical proving performance and the clinical auditing performance of the calculation process are ensured, and the requirements of the global 152 billion dollar neural science and technology market and the 89 billion dollar quantum calculation industry are met.

To efficiently use consistent information based on information on personal self-recognition.SOLUTION: The information output apparatus 1 includes an answer acquisition unit 141 that acquires an answer from a user to each of a plurality of questions about the user's way of thinking, an input information acquisition unit 143 that acquires input information to be input to a predetermined large scale language model based on an acquisition result of the answer acquisition unit 141, a generated information acquisition unit 145 that acquires generated information generated by inputting the input information to the large scale language model and related to the user's self-awareness, a self-awareness information acquisition unit 147 that acquires self-awareness information indicating the user's self-awareness based on the generated information, and an output unit 149 that outputs output information based on the self-awareness information.SELECTED DRAWING: Figure 2

Provided is a communication device that operates as a UE in a 3GPP network. The communication device is characterized by comprising a transmission control means that includes traffic control information in NSSAI, a BSR, an RRC message, or RAN awareness information, the traffic control information indicating a bit rate type of data to be transmitted from the communication device, and transmits the thus obtained information, wherein the bit rate type includes at least one of CBR or VBR.

This invention provides a method and system for road defect detection based on UAV optical remote sensing imagery, belonging to the field of road defect detection. To address the shortcomings of existing road defect detection methods in small target recognition and feature extraction under complex background interference, this invention utilizes a CSP-SMAM module, enabling the model to efficiently extract multi-scale features, particularly enhancing the perception of targets of different scales in complex scenes. Combined with a CAFPN structure, the model further improves feature fusion and localization accuracy. The Wise-MPDIoU loss function optimizes the target localization process, making it particularly suitable for small target detection. Finally, the CA attention mechanism enhances the model's localization ability through direction and position awareness information, improving the model's recognition accuracy in complex backgrounds.

It is possible to provide an education and improvement support system that raises user awareness and encourages continued use. [Solution] The information processing system includes an awareness information collection unit that collects user awareness information, an awareness evaluation unit that analyzes and evaluates the awareness information, an extraction unit that extracts the user's problems and / or challenges, a scientific information provision unit that provides scientific information that serves as the basis for solving the problem and / or achieving the challenge, and a guidance information provision unit that provides guidance information that serves as a behavioral guide for solving the problem and / or achieving the challenge.

This disclosed method for multi-agent task understanding using an Extreme Learning Machine (ELM) initializes multi-agent parameters and environmental situational awareness information; it then formulates task understanding sample data for the ELM based on the multi-agent's task, parameters, and environmental situational awareness information; it determines the ELM's task understanding network structure based on the sample data; it trains the ELM's task understanding network structure using the sample data to obtain the ELM's task understanding model; and when the multi-agent receives a task instruction, it acquires the current environmental situational awareness information and multi-agent parameters, inputting these into the ELM's task understanding model to obtain the task understanding result. This method effectively utilizes battlefield situational information and multi-agent capability values ​​to generate understanding results that align with the commander's thinking, avoiding the subjective factors that rely to some extent on expert systems and ensuring the accuracy of task understanding.

A system 10 comprises a data processor 12 operable to receive data 14 from a gunshot detection sensor 16 and process the received data to provide a situational awareness information signal to a user,

The invention provides a comprehensive monitoring system for a hydropower station, which constructs a high-fidelity virtual model of power station equipment through a total-factor digital twin engine module, predicts the state of the equipment and provides situation pre-judgment capability. A deterministic transmission network which can be dynamically reconfigured is constructed by means of an intelligent elastic network architecture module, and differentiated service quality and transmission reliability are guaranteed. And the multi-modal data fusion center integrates and fuses multi-source heterogeneous data and a prediction result to generate unified panoramic situation awareness information, so that a comprehensive basis is provided for decision making. And the intelligent strategy generation module can form a distributed cooperative control strategy, so that the intelligence and cooperative efficiency of system control are improved. And the disaster recovery autonomous recovery module realizes rapid positioning and automatic recovery of system faults by using the strategy and the panoramic information. And finally, an intelligent resource scheduling module ensures efficient utilization of system resources and smoothness of overall operation. Therefore, comprehensive improvement of operation efficiency, safety and reliability is finally achieved.

An apparatus comprises at least one processing device configured to generate, based on an input prompt, a first data structure comprising a textual task description associated with tasks to be performed in an environment, and to generate, based on video data of the environment, a second data structure comprising temporal dynamics information characterizing changes in spatial features of the environment over time. The at least one processing device is also configured to generate, based on images of the environment, a third data structure comprising spatial relationship information characterizing spatial relationships between objects in the environment, and to determine, utilizing at least one machine learning model that takes as input at least portions of the first, second and third data structures, actions to execute in the environment to achieve the tasks. The at least one processing device is further configured to execute the determined actions in the environment.

The invention provides a communication network device and a sensing information safety communication method, and the method comprises the steps: safety resource initial installation: presetting all needed safety resources, safety parameters and safety strategies for a safety management unit, the security management unit completes security resource initial installation for the user plane security enhancement function unit, the control plane security enhancement function unit and the active cellular base station unit; secure network access attachment: correspondingly triggering a network access attachment process according to the type of the cellular sensing device, and generating an authentication vector according to a strategy in the network access attachment process to complete main authentication; secure transmission of service data: the cellular sensing device obtains sensing information and initiates transmission with the integrated base station; and the integrated base station selects a corresponding cellular base station unit to complete encryption and decryption of uplink and downlink data according to the type of the cellular sensing equipment. The method has the advantages of low power consumption, middle and long distance coverage, safe communication and the like, and is suitable for scenes of active cellular communication, passive cellular communication and the like.

Certain aspects of the present disclosure provide techniques for mobility management. A method of wireless communication by a user equipment includes obtaining one or more criteria associated with at least one of triggering cell measurement or handover. The one or more updated criteria are based at least in part on the network environment awareness information. The method includes obtaining one or more updated criteria associated with triggering at least one of cell measurement or handover.

The invention discloses an MCP plug-in execution method, device and equipment based on dynamic permission and a storage medium, and relates to the technical field of plug-in control, the method comprises the following steps: when a plug-in calling request is received, obtaining context plug-in sensing information corresponding to the plug-in calling request; dynamically generating a minimum permission strategy corresponding to the target MCP plug-in based on the context plug-in sensing information; and determining a target plug-in running sandbox according to the minimum permission strategy, and executing the target MCP plug-in in the target plug-in running sandbox. According to the method, firstly, the context plug-in sensing information related to the plug-in calling request is collected to dynamically generate the minimum permission strategy, it is ensured that the plug-in only obtains the permission necessary for completing the current task, and the permission abuse risk is reduced from the source; meanwhile, by means of the sandbox isolation environment, even if the plug-in is abnormal, system core resources cannot be affected, plug-in operation is limited in an independent space, the overall safety is improved, and therefore the running safety of the MCP plug-in is improved.