Machine-vision-based Spindle Positioning System of Grinding-wheel-saw Automatic Replacement System

Qiu, Sijie; Yang, Chi-Hsin; Wu, Long; Wang, Kun‐Chieh; Pan, Jian-Zhou

doi:10.18494/sam3638

Cited by 4 publications

(6 citation statements)

References 25 publications

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“…Moreover, it can effectively prevent issues like counterfeit tickets and staff negligence, greatly improving management levels and reducing labor intensity (Wang et al, 2022). This advanced management system has been applied in rail transit across developed countries (Qiu et al, 2022). Initially imported from abroad (Aglibar et al, 2022), AFC equipment for rail transit systems in China has witnessed a large amount of research and development in recent years, leading to constant technological improvements (Mathews, 1989).…”

Section: Afc System Overviewmentioning

confidence: 99%

Management of New Automatic Ticket Vending Machine System in Urban Rail Transit

Li,

Zhu,

Tian

et al. 2024

International Journal of Ambient Computing and Intelligence

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The technology of automatic fare collection system for urban rail transit is an important technology for achieving automatic fare collection for public transportation facilities such as urban subways. This article studies the relevant characteristics of the AFC system. Through introducing queuing models, simulation comparative experiments, and neural network debugging, it is found that the automatic fare collection system for urban rail transit not only effectively helps station staff to allocate tickets in a timely and reasonable manner, adjust station ticket supply, but also facilitates station passengers to query tickets, and passengers can freely choose whether to take the train according to their actual needs. The experiment shows that the AFC system can effectively help passengers avoid traffic congestion during peak hours, greatly improve management level, and reduce labor intensity.

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Section: Afc System Overviewmentioning

confidence: 99%

Management of New Automatic Ticket Vending Machine System in Urban Rail Transit

Li,

Zhu,

Tian

et al. 2024

International Journal of Ambient Computing and Intelligence

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show abstract

“…In addition, the planning trajectories of motion of the six-axes mechanical arm system for transporting the GWS are also developed according to the positioning results provided by it. The detail setup of the machine-vision positioning system for the intelligent robotic replacement system of GWSs has been reported in Qiu et al 28 The following is a brief description of the performance. The program of the machine-vision positioning system was developed in VS2019 environment, which is the man-machine interface (MMI) designed software setup in the WINDOWS operational system.…”

Section: Machine-vision Positioning Systemmentioning

confidence: 99%

“…On the algorithm for determining the position of the central axis of the hex nut, the procedures are summarized as follows. The details are omitted here and refereed in Qiu et al 28 for the simplicity of the manuscript.…”

Section: Machine-vision Positioning Systemmentioning

confidence: 99%

“…In this study, the coordinate calibration method developed by Zhang was applied. [28][29][30][31] (2) In this study, the template matching approach 28,[32][33][34] was used to evaluate the position of the central axis of the hex nut. The images of the hex nut captured by the digital camera are firstly operated the image pre-processing.…”

Section: Machine-vision Positioning Systemmentioning

confidence: 99%

Section: Machine-vision Positioning Systemmentioning

confidence: 99%

See 2 more Smart Citations

Machine-vision-based intelligent robotic replacement system of grinding-wheel-saws for steel round bar sawing machine

Pan

Yang

et al. 2023

Advances in Mechanical Engineering

Self Cite

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In the factory, the steel round bar sawing machine is applied to finish the sawing mission. Due to the process of the sawing steel is operating in high speed, the grinding-wheel-saw (GWS) is quickly worn by the friction and replaced frequently. The automatic replacement system of GWSs is seldom built yet. To improve the efficiency of the replacement for GWSs, the machine-vision-based intelligent robotic replacement system (MIRRS) for GWSs is developed and reported in the study. The MIRRS is mainly consisted of the six degrees-of-freedom (DOF) manipulator and the six-axes mechanical arm system to successfully complete the task of the replacement. The finite element method (FEM) is applied to analyze and design the subsystem of the MIRRS. Besides, the machine-vision positioning system associated with the digital camera are also setup to provide the required feedback detections for the MIRRS. The hardware system architecture and the control flow chart are described in detail and the hundreds of realistic testing results are collected to verify the reliability and offer the well working efficiency of the designed MIRRS.

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Spindle Detection Based on Elastic Time Window and Spatial Pyramid Pooling

Ou,

Wang,

Feng

et al. 2024

J. Integr. Neurosci.

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Background: Sleep spindles have emerged as valuable biomarkers for assessing cognitive abilities and related disorders, underscoring the importance of their detection in clinical research. However, template matching-based algorithms using fixed templates may not be able to fully adapt to spindles of different durations. Moreover, inspired by the multiscale feature extraction of images, the use of multiscale feature extraction methods can be used to better adapt to spindles of different frequencies and durations. Methods: Therefore, this study proposes a novel automatic spindle detection algorithm based on elastic time windows and spatial pyramid pooling (SPP) for extracting multiscale features. The algorithm utilizes elastic time windows to segment electroencephalogram (EEG) signals, enabling the extraction of features across multiple scales. This approach accommodates significant variations in spindle duration and polarization positioning during different EEG epochs. Additionally, spatial pyramid pooling is integrated into a depthwise separable convolutional (DSC) network to perform multiscale pooling on the segmented spindle signal features at different scales. Results: Compared with existing template matching algorithms, this algorithm’s spindle wave polarization positioning is more consistent with the real situation. Experimental results conducted on the public dataset DREAMS show that the average accuracy of this algorithm reaches 95.75%, with an average negative predictive value (NPV) of 96.55%, indicating its advanced performance. Conclusions: The effectiveness of each module was verified through thorough ablation experiments. More importantly, the algorithm shows strong robustness when faced with changes in different experimental subjects. This feature makes the algorithm more accurate at identifying sleep spindles and is expected to help experts automatically detect spindles in sleep EEG signals, reduce the workload and time of manual detection, and improve efficiency.

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Machine-vision-based Spindle Positioning System of Grinding-wheel-saw Automatic Replacement System

Cited by 4 publications

References 25 publications

Management of New Automatic Ticket Vending Machine System in Urban Rail Transit

Management of New Automatic Ticket Vending Machine System in Urban Rail Transit

Machine-vision-based intelligent robotic replacement system of grinding-wheel-saws for steel round bar sawing machine

Spindle Detection Based on Elastic Time Window and Spatial Pyramid Pooling

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