NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY

The invention discloses a single-frame fringe pattern analysis method based on multi-scale generative adversarial network. A multi-scale generative adversarial neural network model is constructed and a comprehensive loss function is applied. Next, training data are collected to train the multi-scale generative adversarial network. During the prediction, a fringe pattern is fed into the trained multi-scale network where the generator outputs the sine term, cosine term, and the modulation image of the input pattern. Finally, the arctangent function is applied to compute the phase. When the network is trained, the parameters of the network do not need to manually tune during the calculation. Since the input of the neural network is only a single fringe pattern, the invention provides an efficient and high-precision phase calculation method for moving objects.

Disclosed in this disclosure is a method for super-resolution microscopic interferometric measurement based on broadband annular radially polarized light, where a broad-spectrum light source with an extended surface is selected; uniform illumination covering a to-be-tested FOV and having a certain aperture angle is provided using a Kohler illumination system; a two-stage relay system is designed, and amplitude and polarization of a full-FOV beam is modulated by a liquid crystal spatial light modulator and a vortex waveplate; broadband annular radially polarized light is focused based on the extended surface light source and a microscopic objective lens with a high numerical aperture to implement super-resolution microscopic interference imaging of a sample; and super-resolution topography measurement directed at a surface of a microstructure is implemented combined with phase-shifting interferometry.

A method and system for post-disaster power restoration in a power grid, and a storage medium are disclosed. The method includes acquiring the target data of the disaster-affected area; constructing overall constraints; determining the travel trajectory of refueling vehicles and their fuel delivery amount at each gas turbine node, the output power of each gas turbine, and the load restoration amount of each load node; and controlling the operating status of load nodes and the output power of gas turbines, and the fuel delivery by refueling vehicles to each gas turbine node based on the travel trajectory of refueling vehicles, the fuel delivery amount of refueling vehicles at each gas turbine node, the output power of each gas turbine and the load restoration amount of each load node.

The present disclosure provides a multi-task panoptic driving perception method and system based on improved You Only Look Once version 5 (YOLOv5). The method in the present disclosure includes: performing image preprocessing on an image in a dataset to obtain an input image; extracting a feature of the input image by using a backbone network of improved YOLOv5, to obtain a feature map, where the backbone network is obtained by replacing a C3 module in a backbone network of YOLOv5 with an inverted residual bottleneck module; inputting the feature map into a neck network to obtain a feature map, and fusing the obtained feature map and the feature map obtained by the backbone network; inputting the fused feature map into a detection head to perform traffic target detection; and inputting the feature map of the neck network into a branch network to perform lane line detection and drivable area segmentation.

The invention discloses a three-dimensional (3D) measurement method based on end-to-end deep learning for speckle projection. First, the speckle pattern was projected by the projector and collected simultaneously by the stereo camera. The speckle images after stereo rectification are fed into the stereo matching network. A feature extraction sub-network based on shared weights processes the speckle images to obtain a series of low-resolution 3D feature tensors. The feature tensor is fed into the saliency object detection sub-network to detect foreground information in the speckle images, producing a full-resolution valid mask map. A 4D matching cost volume is generated using the feature tensor of both views based on the candidate disparity range, filtered by a series of 3D convolutional layers to achieve cost aggregation, so that the initial disparity map is obtained by disparity regression. The final disparity map is obtained by combining the mask map and the initial disparity map to achieve a single-frame, robust, and absolute 3D shape measurement. The invention achieves a single-frame, robust, and absolute 3D shape measurement by projecting a single speckle pattern.

The present disclosure discloses a method and a system for detecting an abnormal traffic behavior. The method of the present disclosure includes: retaining an abnormal static target vehicle in a traffic surveillance video in a background through background modeling; performing abnormal target detection, and obtaining a cropped picture of an abnormal target vehicle and a cropped video clip through cropping; performing anomaly start time estimation, inputting the cropped picture and the cropped video clip to a network model combining twin cross-correlation with pseudo three-dimensional (P3D)-Attention, labeling a classification label on the cropped video clip, and determining a video frame when abnormal behavior occurs; and determining whether a to-be-matched vehicle is an abnormal target vehicle, and determining a start time and an end time of abnormal traffic behavior with reference to the video frame that is obtained when the abnormal behavior occurs.

Disclosed is a device for selective oxidation of macromolecular organic pollutants using free radicals produced in a heterogeneous Fenton reaction. The device includes a heterogeneous Fenton reaction unit and an electrochemical cell. The heterogeneous Fenton reaction unit includes a reactor and an anion exchange membrane. The anion exchange membrane is disposed in the reactor and separates the reactor into a first chamber and a second chamber. The first chamber is filled with a catalyst and the wastewater to be treated; and the second chamber is filled with a dielectric material. The electrochemical cell is configured to supply an electric field to the reactor, so that organic acids generated by a heterogeneous Fenton reaction move from the first chamber into the second chamber.

An attack detection and source tracing method includes acquiring entities in a target network environment and interaction event information between the entities and constructing a network event graph with the entities and the interaction event information; determining a graph embedding vector of each interaction event information in the network event graph as feature information based on a preset attack feature recognition model and determining an attack event in the network event graph according to the feature information; determining dependencies between the attack event and remaining interaction event information in the network event graph and searching for a corresponding interaction event information as source tracing information of the attack event according to the dependencies.

Provided are an active defense system and method for an unknown threat. The system includes an intelligent threat early-warning module ( 10 ), an unknown threat detection module ( 20 ) and a self-adaption defense processing module ( 30 ). The intelligent threat early-warning module ( 10 ) is configured to perform threat prediction on a power grid situation data set collected from a power information network in real time to obtain threat early-warning information and send the information to the unknown threat detection module ( 20 ). The unknown threat detection module ( 20 ) is configured to perform threat detection and analysis on collected unknown threat network data when receiving the threat early-warning information to generate a threat analysis report and send the report to the self-adaption defense processing module ( 30 ). The self-adaption defense processing module ( 30 ) is configured to trigger a defense processing operation corresponding to a preset threat defense strategy according to the threat analysis report.

A base material includes a base layer. The base layer includes a structured surface. The base layer includes a transition metal and a transition metal oxide, and a sum of the transition metal and a transition metal oxide accounts for at least 90 wt. % of the base layer. The transition metal oxide is concentratedly distributed on the structured surface. The base material is flexible in at least one direction, and has a bending angle of not less than 90° when being bent.