Xin Bai

Prof. Xin Bai

Handan College, Handan, Hebei, China

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 June 2024 in Water
Verified
Journal Article
Open access
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PZPengrui ZHU
Pengrui ZHU
XBXin Bai
Xin Bai
HLHongbiao Liu
Hongbiao Liu
YZYibo Zhao
Yibo Zhao
This paper aims to use deep learning algorithms to identify and study the stability of breakwater armor blocks. It introduces a posture identification model for fender blocks using a Mask Region-based Convolutional Neural Network (R-CNN), which has been enhanced by considering factors affecting breakwater fender blocks. Furthermore, a wave prediction model for breakwaters is developed by integrating Bidirectional Encoder Representations from Transformers (BERTs) with Bidirectional Long Short-Term Memory (BiLSTM). The performance of these models is evaluated. The results show that the accuracy of the Mask R-CNN and its comparison algorithms initially increases and then decreases with higher Intersection Over Union (IOU) thresholds, peaking at 95.16% accuracy at an IOU threshold of 0.5. The BERT-BiLSTM wave prediction model maintains a loss value around 0.01 and an accuracy of approximately 90.00%. These results suggest that the proposed models offer more accurate stability assessments of breakwater armor blocks. By combining the random forest prediction model with BiLSTM, the wave characteristics and fender posture can be predicted better, offering reliable decision support for breakwater engineering.

1 January 2023 in Curriculum and Teaching Methodology
Verified
Journal Article
Open access
PDF file
XBXin Bai
Xin Bai
With the rapid socio-economic development and the rapid changes in science and technology, higher education is facing unprecedented challenges and demands. Under such a background, the reform of higher education curriculum has become an inevitable trend. As a new education model, the integration of industry, education and research has begun to be integrated into the field of higher education in recent years. Firstly, the thesis introduces the concept and importance of the integration of industry, education and research; then the thesis analyzes the difficulties of the higher education curriculum reform based on the integration of industry, education and research; mechanical engineering, as an engineering discipline, has certain characteristics and challenges in its curriculum reform. Finally, taking mechanical engineering as an example, the paper explores the reform path of higher education courses and teaching methods based on the integration of industry, education and research, including industry-academia cooperation, practical teaching and cultivation of innovation ability, and propose some feasible promotion measures and countermeasures, aiming to provide guidance for other disciplines. Provide reference and reference for the reform of higher education curriculum and teaching methods.