5results about How to "Overcome vulnerability" patented technology

The application discloses a PCB defect detection method and device, computer equipment and a storage medium. The method comprises the following steps: collecting resistance data of multiple test points in a to-be-detected area of a PCB to form a resistance data set; sorting the resistance data set and determining the median of the resistance data set as a data median Med; calculating the absolute deviation of each data in the resistance data set from the data median Med to form an absolute deviation set; sorting the absolute deviation set and determining the median of the absolute deviation set as an absolute deviation median MAD; constructing a robust detection threshold for defect determination; and comparing each resistance data in the resistance data set with the robust detection threshold to obtain a PCB defect detection result. The method of the application can realize PCB resistance defect detection with high anti-interference, high detection rate and low false alarm rate, and improve the quality control level of the PCB manufacturing process.

The present application relates to the technical field of industrial automation and artificial intelligence, and particularly relates to a work behavior intelligent identification and guidance method and system. The method comprises: collecting multi-modal perception information of a work environment; identifying a current work behavior of an operator based on the multi-modal perception information; performing matching analysis on the current work behavior and a predefined target work behavior sequence to generate behavior difference information containing time sequence and quality deviation; and generating and outputting guidance instructions for guiding the operator based on the behavior difference information, the instructions being capable of controlling action parameters of an auxiliary execution device or output rhythm of interface prompts. Through multi-modal fusion perception, fine behavior difference analysis, dynamic personalized guidance and adaptive learning, the present application realizes precise, intelligent and flexible real-time guidance and collaborative control of the work process, effectively improving work quality, efficiency and human-machine collaboration level.

The application discloses an evaluation method and system based on child growth hormone secretion data, and relates to the technical field of medical data processing.The method determines candidate points through robust outlier preliminary screening by acquiring a growth hormone concentration time sequence; extracts a concentration subsequence of a neighborhood window of the candidate points, calculates a dynamic time warping distance of the concentration subsequence from a preset pulse sequence by using a dynamic time warping algorithm, and converts the dynamic time warping distance into a pulse score; performs candidate point reservation, elimination or boundary undetermined point marking according to the score, and generates a first purified concentration sequence from the remaining points; obtains a first fitted concentration sequence by deconvolution reconstruction, and performs LB test on a residual sequence; if significant, performs flip verification based on a residual sum of squares improvement range on the boundary undetermined points in descending order of the score, obtains a third purified concentration sequence, and outputs an evaluation report.The application solves the problems of outlier elimination error and deconvolution system deviation through pulse morphological structure perception and residual feedback verification.

The application discloses an unmanned ship autonomous berthing navigation system and method based on infrared vision tight coupling. The system comprises an infrared vision sensing module, a vision processing module and a multi-sensor fusion pose estimation module. The application installs an active infrared light source array at a berth and uses an improved deep learning target detection network at the end of the unmanned ship to detect the light source array. Secondly, through the constructed tight coupling integrated navigation system based on factor graph optimization, the information fusion of heterogeneous and asynchronous multi-sensors is realized in a sliding window. The method can detect the infrared light source array, ensure the realization of robust visual feature extraction under complex light changes, fuse the information of heterogeneous and asynchronous multi-sensors, realize the distance and attitude estimation of the unmanned ship relative to the light source array of the berth, overcome the vulnerability of a single sensor, provide accurate self-state and relative berth attitude information for the autonomous berthing of the unmanned ship, and improve the long-term navigation consistency.

A light guide apparatus according to an embodiment includes a first substrate, a first pattern layer disposed on the first substrate, a cover disposed on the first pattern layer, and a first intermediate layer disposed between the cover and the first pattern layer, wherein a lower surface of the first intermediate layer has a shape corresponding to a shape of the first pattern layer.