5results about How to "Implement coding" patented technology

The embodiment of the application discloses a kind of digital isolator and digital signal transmission method, the technical scheme of the embodiment of the application is by encoding circuit the rising edge and the falling edge of input digital signal are encoded into first pulse sequence and second pulse sequence respectively, by including multiple first pulse groups with time interval being first length characterizing first pulse sequence, multiple second pulse groups with time interval being second length characterizing second pulse sequence, so that more information is added in encoding signal, and the corresponding encoding information of rising edge and falling edge is transmitted through isolating element, while realizing the encoding and transmission of input digital signal, the anti-interference ability of encoding information and the anti-interference performance of digital isolator are improved.

This invention belongs to the field of optoelectronic light-emitting and display device technology, specifically relating to a light-emitting synaptic device based on a chiral heterojunction and its fabrication method. The light-emitting synaptic device based on a chiral heterojunction includes a substrate, an anode layer, a carrier modulation layer, a chiral selection layer, a light-emitting layer, and a cathode layer. The chiral selection layer is disposed between the light-emitting layer and at least one carrier modulation layer. The chiral selection layer is a chiral heterojunction, and the interlayer arrangement order of the light-emitting synaptic device is unrestricted. By introducing a chiral heterojunction as the chiral selection layer, the light-emitting synaptic device simultaneously achieves spin-selective detection and circularly polarized light emission functions within a single device structure, providing a new approach for fabricating integrated devices that combine circularly polarized light sensing, information processing and storage, and circularly polarized light emission functions.

The application provides a high-efficiency covert channel attack and information leakage method based on multiple interrupt driving, which is called Compound-INT. Four stable and controllable interrupt types (rtc0, PMI (Performance Monitor Interrupts), MCP (Machine Check Polls), IWI (IRQ Work Interrupts), and TLB (TLB shootdowns)) are screened out by analyzing the / proc / interrupts interface in an operating system to construct an efficient covert channel. The method supports two transmission modes, single bit and multi-bit. Single bit realizes data coding by controlling the interrupt triggering frequency, and multi-bit combines synchronous and asynchronous transmission modes to improve bandwidth and anti-interference, and adapt to the complex conditions of a multi-core environment. In addition, the application realizes the leakage of the existence state of a target file in a restricted directory by using the PMI interrupt, and speculates the structure information of a deep neural network (DNN) model by using the TLB shootdowns interrupt mode, thereby expanding the application scenarios of the covert channel. Experimental results show that the method has high transmission rate, low error rate and strong robustness, and provides a new idea for the security research of the interrupt mechanism of an operating system.

This invention discloses a point cloud classification method. The method includes: acquiring a preset dataset comprising at least one point cloud; determining at least one boundary point based on all points in the point cloud; constructing a graph neural network based on the boundary point and all its neighboring points, and encoding the graph neural network to obtain an encoding vector; extracting features from all non-boundary points in the point cloud using the preset point cloud network to obtain a feature vector; and acquiring a preset classification network to classify the encoding vector and feature vector to obtain a classification result. This invention solves the problem of high computational cost caused by constructing a graph neural network based on all point cloud data by selecting boundary points, thus reducing the computational load. Selecting boundary points improves the prediction accuracy of boundary classification, thereby improving the accuracy of the classification results.

The invention discloses a data transmission method, system and device and a storage medium, and relates to the technical field of data transmission, and the method comprises the steps: collecting image data based on a high-frame-rate image collection unit; performing self-defined semi-fixed-length coding on the image data to obtain coded stream data; and packaging the coded stream data based on a QUIC protocol and transmitting the packaged coded stream data to a cloud data center. Through the method, the requirements of remote manipulator control and the like on a low-delay and high-precision real-time video transmission system can be met, and low-delay video acquisition, encoding and transmission oriented to practical scenes are realized.