8 results about "Ubiquitous computing" patented technology

The present application relates to devices and components including apparatus, systems, and methods for ubiquitous computing.

The application provides an artificial intelligence platform resource metering management method, specifically comprising the following steps: S1: detecting and metering the computing power surplus of each computing power point in the platform system, and dividing the computing power points into training points and reasoning points according to the idle computing power surplus and the computing power point type; S2: detecting and metering the storage performance indicators of each storage point in the platform system to obtain the parameters of each storage point; S3: evaluating the algorithm model in the platform system; S4: detecting and evaluating the business data in the platform system; S5: selecting the computing power points, storage points, algorithm model and business data to form a task combination, so that the utilization rate and benefit of various resources are optimal. In the application scheme, the computing power and network resources are integrated into a whole to form an efficient, scalable and flexible ubiquitous computing power network, the cluster advantage of the computing power is exerted, the scale efficiency of the computing power is improved, and the global intelligent scheduling and optimization of the computing network resources are realized.

The anti-environmental noise tooth gesture interaction action independent identity authentication method belongs to the field of Internet of Things and ubiquitous computing. The ear outside and ear inside microphones of the intelligent earphone respectively perceive environmental noise signals and ear canal audio signals. The ear inside collected audio signals have frequency selection and individual difference characteristics due to the effect of ear closing plug. When the user performs tooth gesture interaction action, the corresponding ear inside bone conduction audio signals exist individual differences after modulation through the facial transmission path, and are not easily affected by the interaction action. The present application effectively eliminates environmental noise interference by constructing individualized mapping relationship of ear inside and outside audio signals, and uses the adversarial learning network to extract the transmission path tissue related biological features from the captured tooth gesture ear inside bone conduction audio signals, realizes the anti-environmental noise tooth gesture interaction action independent identity authentication. The present application has the advantages of fast authentication, effective resistance to environmental noise and robustness to inconsistent tooth gesture interaction action.

The invention provides a cooperative implementation method for vehicle tasks and a vehicle, and the method comprises the steps: obtaining equipment parameters of terminal equipment in the vehicle, and determining a trusted equipment list according to the equipment parameters, and the trusted equipment list at least comprises one piece of trusted equipment; obtaining task information of a target task of the vehicle, and dividing the target task into a plurality of sub-tasks based on the trusted device list and the task information; and selecting a target trusted device corresponding to each sub-task from the trusted device list according to the task information, and allocating the sub-tasks to the corresponding target trusted devices. According to the method, the reliability, efficiency and quality of vehicle task collaboration can be improved by constructing the in-vehicle near-field low-delay self-organizing ubiquitous computing power network.

The application discloses a ubiquitous computing power sharing method and device, equipment and medium, wherein the ubiquitous computing power sharing method detects and configures the system of a target device through the built-in operating system of a non-intrusive ubiquitous computing power sharing hardware medium, uploads the hardware resource information of the device to a cloud platform, virtualizes idle disk sectors into virtual disks, and synchronizes the resource information of the virtual disks to the cloud; the cloud platform analyzes the resource condition of the target device, and allocates appropriate computing power tasks to the device; the built-in operating system creates multiple virtual machines on the target device and executes the computing power tasks, and finally returns the task result information to the cloud platform; after the cloud platform verifies that the result is valid, the built-in operating system automatically restores the original state of the target device. Efficient and safe computing power sharing of the device that can be connected to the non-intrusive ubiquitous computing power sharing hardware medium is realized.

The application discloses a music playing mode intelligent switching system suitable for different scenes and belongs to the field of artificial intelligence and ubiquitous computing. The system comprises a multi-modal perception module, which is used for collecting environment, user physiological, behavior interaction and audio content data in real time; a feature fusion coding module, which generates a joint scene feature vector through time sequence alignment, statistical feature extraction and neural network coding; a machine learning inference engine, which adopts a pre-trained multi-task learning model supporting online fine-tuning, outputs a fine-grained scene recognition result and optimal playing mode configuration parameters according to the feature vector; and a dynamic audio execution module, which analyzes the configuration parameters and realizes non-perception audio experience switching through a smooth transition controller, and simultaneously collects user feedback to form a learning closed loop. The application realizes highly personalized, context-accurate perception and smooth and seamless music playing mode full-automatic intelligent adaptation, and can be widely applied to intelligent earphones, vehicle entertainment, smart home and mobile terminals.

The present application relates to devices and components including apparatus, systems, and methods for ubiquitous computing.