Detection and Analysis of Tooth Profile Deviation of Cycloidal Gear based on Projection Method by Mo Jingyu, Luo Shanming, Mao Lingxia, Fan Jianming

“…Based on image measurement technology,a non-contact detection method for tooth profile deviation detection of cycloidal gear is proposed,in order to solve the problem of low detection efficiency and lack of sample detection in the process of cycloidal gear detection. …”
Get full text

BCSM-YOLO: An Improved Product Package Recognition Algorithm for Automated Retail Stores Based on YOLOv11 by Pingqing Hou, Shaoze Huang

“…To address YOLOv11’s limitations in supermarket scenarios, such as missed small targets and low positioning accuracy, this paper proposes BCSM-YOLO, an improved algorithm based on YOLOv11. …”
Get full text

Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…Traditional detection methods face challenges due to underwater environmental factors such as low brightness and high blurriness. …”
Get full text

Random walk based snapshot clustering for detecting community dynamics in temporal networks by Filip Blašković, Tim O. F. Conrad, Stefan Klus, Nataša Djurdjevac Conrad

“…We also provide a low-dimensional representation of entire snapshots, placing those with similar community structure close to each other in the feature space. …”
Get full text

Deterministic local multi-point fault detection method for industrial control topology by Ruozhou LIANG, Xibin ZHAO, Hai WAN

“…In view of the fact that the existing network fault detection algorithms cannot meet the four requirements of determination of detection time, low detection overhead, multi-point fault detection ability and topology adaptability of industrial control network at the same time, a multi-point fault detection method of time sensitive network based on Boolean network mapping was proposed.The method was divided into offline preparation phase and online detection phase.In the offline preparation phase, the detection flow generation algorithm generated a set of detection flows based on the network topology.The detection flow set covered the edges of the network topology.In the online detection phase, the detection packet was sent periodically from the source node to the controller according to the predefined path.Then, the controller inferred the failed link according to the arrival state of each detection packet.The experimental results show that, compared with the existing methods, the proposed method can accurately identify multiple failed links in a certain time, and generate fewer detection path sets to meet the above four requirements.…”
Get full text

An Algorithm for the Shape-Based Distance of Microseismic Time Series Waveforms and Its Application in Clustering Mining Events by Hao Luo, Ziyu Liu, Song Ge, Linlin Ding, Li Zhang

“…To improve the efficiency and accuracy of microseismic event extraction from time-series data and enhance the detection of anomalous events, this paper proposes a Multi-scale Fusion Convolution and Dilated Convolution Autoencoder (MDCAE) combined with a Constraint Shape-Based Distance algorithm incorporating volatility (CSBD-Vol). …”
Get full text

The Design and Data Analysis of an Underwater Seismic Wave System by Dawei Xiao, Qin Zhu, Jingzhuo Zhang, Taotao Xie, Qing Ji

“…The host computer performs the collaborative optimization of multi-modal hardware architecture and adaptive signal processing algorithms, enabling the detection of ship targets in oceanic environments. …”
Get full text

An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…Ground-penetrating radar (GPR) is widely employed as a non-destructive tool for subsurface detection of transport infrastructures. Typically, data collected by high-frequency antennas offer high resolution but limited penetration depth, whereas data from low-frequency antennas provide deeper penetration but lower resolution. …”
Get full text

Parts-per-quadrillion level gas molecule detection: CO-LITES sensing by Haiyue Sun, Shunda Qiao, Ying He, Xiaorong Sun, Yufei Ma

“…The artificial fish swarm algorithm auto-designed multi-pass cell (MPC) with double helix pattern, and the polymer modified round-head quartz tuning fork (QTF) with low-resonant frequency (f 0) were adopted to improve the gas absorption and QTF’s detection ability. …”
Get full text

Pear Fruit Detection Model in Natural Environment Based on Lightweight Transformer Architecture by Zheng Huang, Xiuhua Zhang, Hongsen Wang, Huajie Wei, Yi Zhang, Guihong Zhou

“…Aiming at the problems of low precision, slow speed and difficult detection of small target pear fruit in a real environment, this paper designs a pear fruit detection model in a natural environment based on a lightweight Transformer architecture based on the RT-DETR model. …”
Get full text

DCW-YOLO: An Improved Method for Surface Damage Detection of Wind Turbine Blades by Li Zou, Anqi Chen, Chunzi Li, Xinhua Yang, Yibo Sun

“…Traditional object detection methods have disadvantages of insufficient detection capabilities, extended model inference times, low recognition accuracy for small objects, and elongated strip defects within WTB datasets. …”
Get full text

U-Sodar: Noncontact Vital Sign Detection Technology Based on Ultrasonic Radar by Shuaiming HUANG, Xiaohua ZHU, Wubin WANG, Heng ZHAO, Hong HONG

“…To address these challenges, this paper introduces a noncontact vital signal collection device using Ultrasonic radar (U-Sodar), including a set of hardware based on a three-transmitter four-receiver Multiple Input Multiple Output (MIMO) architecture and a set of signal processing algorithms. The U-Sodar local oscillator uses frequency division technology with low phase noise and high detection accuracy; the receiver employs front-end direct sampling technology to simplify the involved structure and effectively reduce external noise, and the transmitter uses an adjustable PWM direct drive to emit various ultrasonic waveforms, possessing software-defined ultrasonic system characteristics. …”
Get full text

Track line status detection system for subway based on lightweight convolutional network by LIN Jun, YUAN Hao, LIU Yue, KANG Gaoqiang, TONG Hao

“…As an important component to carry running train, the working state of the track has an important impact on the safety of the subway operation. Traditional manual detection or rail inspection vehicles can not operate until subway operation ends, leading to low work efficiency. …”
Get full text

Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…In addressing issues associated with inverse problems, such as the limitations of least squares and algebraic iterative methods, where the number of discrete points cannot exceed the number of propagation paths and the temperature resolution is low, a two-dimensional temperature field reconstruction algorithm based on logarithmic-quadratic (LQ) functions and singular value decomposition (SVD) was developed for autoclave conditions. …”
Get full text

Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…Current research on colorimetric detection using deep learning algorithms predominantly focuses on single-target classification. …”
Get full text

Research on the Improvement of the Signal Time Delay Estimation Method of Acoustic Positioning for Anti-Low Altitude UAVs by Miao Liu, Jiyan Yu, Zhengpeng Yang

“…Aiming at the problem of a large error in the time delay estimation algorithm under a low SNR, a time delay estimation algorithm based on an improved weighted function combined with a generalized cubic cross-correlation is introduced. …”
Get full text

A lightweight steel surface defect detection network based on YOLOv9 by Tianyi Zheng, Ling Yu, Yongbao Shi, Fanglin Niu

“…To address the issues of high computational cost and low detection accuracy in current steel defect detection models, we propose a YOLOv9-based steel defect detection algorithm, CCSS-YOLO. …”
Get full text

Detect Multi Spoken Languages Using Bidirectional Long Short-Term Memory by Fawziya Ramo, Mohammed Kannah

“…Kurdish), which is called M2L_dataset is the source of data used in this paper.A Bidirectional Long Short-Term Memory (BiLSTM) algorithm applied in this paper for detection speaker language and the result was perfect, binary language detection had a test accuracy of 100%, and three languages detection had a test accuracy of 99.19%.…”
Get full text

Adaptive Convolution Kernels Construction Based on Unsupervised Learning for Underwater Acoustic Detection by Hao Yin, Chao Li, Haibin Wang, Jun Wang, Fan Yin, Zili Qin, Chuxian Wang

Get full text

Adaptive Dynamic Thresholding Method for Fault Detection in Diesel Engine Lubrication Systems by Tingting Wu, Hongliang Song, Hongli Gao, Zongshen Wu, Feifei Han

“…Extensive diesel engine tests and actual fault data demonstrate that the proposed method can address the issues of missed faults encountered by static threshold methods and the low detection accuracy of machine learning approaches without the need for fault samples. …”
Get full text