• Publications
  • Influence
A Pedestrian Detection Method Based on YOLOv3 Model and Image Enhanced by Retinex
TLDR
This paper adopts an image enhancement policy based on the Retinex theory to preprocess training samples to reduce the influence of light changes. Expand
An energy ratio feature extraction method for optical fiber vibration signal
TLDR
The intrusion events in the optical fiber pre-warning system (OFPS) are divided into two types which are harmful intrusion event and harmless interference event. Expand
Optical fiber intrusion signal recognition method based on TSVD-SCN
TLDR
This paper aims to overcome this drawback through modifying the computation of the generalized pseudo inverse of the output matrix by a Truncated Singular Value Decomposition (TSVD) method with an adaptively chosen truncation threshold. Expand
The Characteristic Extraction Method of Fiber Intrusion Signals Based on Band Cutting and Imaging
TLDR
This thesis put forward a band cutting and imaging to extract characteristic for optical fiber intrusion signals. Expand
A Faster R-CNN Based High-Normalization Sample Calibration Method for Dense Subway Passenger Flow Detection
TLDR
This paper proposes a strategy of applying deep learning to detect the subway passenger flow using the Faster R-CNN target detection framework in combination with VGG-16 and ZF convolution neural networks. Expand
Dynamic Thermal Prediction Model for the Electronic Equipment Cabin Based on RVFL Network
TLDR
In order to achieve more accurate online thermal modeling of electronic equipment cabin, a sliding time window method based on Random Vector Function Link (RVFL) is proposed. Expand
The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals
TLDR
This paper presents a fast algorithm to accelerate the detection and recognition processing of optical fiber intrusion signals. Expand