4 results about "Digital algorithm" patented technology

The application discloses a kind of multi-modal flexible sensor adaptive signal conditioning system design method, belong to flexible sensor signal conditioning technical field.The present application overcomes the defects of poor universality, performance compromise, high cost of mass production of existing conditioning circuit, adopts layered decoupling and dynamic reconstruction system-level architecture: through multi-modal feature analysis and demand mapping modeling, the feature vector composition of scene recognition is determined;Design configurable analog front end, integrate instrument amplifier, transimpedance amplifier, charge amplifier, bridge amplifier four parallel processing sub-modules, wherein charge and bridge amplifier adopt self-designed architecture with dynamic adaptive gain adjustment capability;Build heterogeneous digital processing platform with NPU, CPU, DSP as core, through cross-modal data fusion, scene recognition engine, dynamic hardware configuration combined with feedforward and feedback, loadable algorithm library and closed-loop optimization control law, realize the real-time scene reconstruction of hardware parameters and digital algorithm;Combined with domestic single-chip selection, rigid-flex PCB and automatic calibration, meet the demand of low-cost mass production.The present application realizes the native adaptation and performance optimization of single hardware platform to voltage, current, charge, impedance and other types of sensor signals, and can be widely applied in robot dexterous hand, medical monitoring, intelligent bandage, consumer motion monitoring and industrial monitoring fields.

The present invention discloses a system for entangling multiple root keys with multiple arbitrary user-defined and self-generated input data using a Physically Unclonable Function (PUF) and a proposed digital algorithmic system. The key innovation lies in the combination of a PUF-based dynamically measurable entropy source and the proposed invention, enabling the generation of multiple true random keys. These keys serve as a secure foundation for establishing cryptographic channels, allowing the creation of isolated secure channels for different stakeholders and applications. The ability to create isolated secure channels with multiple root keys enables the establishment of multiple roots of trust, enhancing the integrity and security of cryptographic operations. The invention finds applications in various domains, such as FIDO authentications, point-to-point encryptions, crypto wallets, and encryption key management systems.

A method for digitally detecting the number of suspended particulates includes: providing a particulate sensor, which includes an airflow channel, a micropump, a laser emitting component, and a photodiode (PD). The micropump introduces air containing suspended particulates into a measurement area. The laser emitting component emits a laser beam toward the measurement area at an orthogonal point, thereby generating scattered light. The photodiode senses the scattered light and converts it into an electrical signal. Then, the photodiode uses a built-in digital algorithm to divide the electrical signal into N energy intervals. The number of particles is recorded in each interval, and the number of particles is recorded in each digitally calibrated distribution interval, forming a fine data distribution. Data processing and cumulative data calculation are then performed to determine the particle size, total number of particles, and concentration of suspended particulates for each particle size range (below PM1, PM2.5, and below PM10).

The application provides a kind of intelligent regulation of traffic feed conveying system, to sensor, machine vision and other multi-source data as the basis, relies on artificial intelligence technology, and converts artificial experience into digital algorithm model, realizes the accurate control and dynamic optimization of production process through automatic components.Sensor, machine vision has the advantages of non-contact, relatively high accuracy, as a state recognition tool.Computer vision can recognize, classify and track the coal transportation state by processing digital video to simulate human visual perception.State evaluation is carried out by using features in images, which provides reliable support for traffic regulation.Precision intervention and whole-cycle intelligent regulation optimize the intelligent operation of the feed mode.