2025 International Conference on Energy, Environment, Materials, and Intelligent Technologies
ISBN: 978-1-965471-07-4
Editorial Team : Laura Brown
EEMIT 2025 is committed to establishing a high-level international platform for academic exchange and collaboration. The conference seeks to promote the dissemination of innovative ideas, encourage interdisciplinary integration, and facilitate the sharing of cutting-edge research achievements and practical experience. By fostering dialogue among academia, research institutions, and industry, EEMIT 2025 aims to contribute to the sustainable development of science and technology in these rapidly evolving domains.
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2025.4.1.P1
Study on Scale Formation in Leachate Transport Pipelines Based on System Dynamics(SD)
Author: Luziping Zhang, Sanxing Chen, Wenbo Liu
1,10
Abstract: This study investigates the scaling process in landfill leachate collection and transportation pipelines. A system dynamics model was established to predict pipeline scaling, employing a combined approach of orthogonal experiments， and simulation techniques to account for the nonlinear coupling effects of crystallisation kinetics and thermodynamics, among other factors. Different parameters were adjusted to study variations in scaling behaviour. The results show that the model predictions of sca...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P11
Study on the Propagation Laws of Radio Frequency Electromagnetic Fields and Initial Compression Waves when High-Speed Maglev Trains Pass Through Tunnels
Author: Shi Xiao, Juntao Du, Zhiqiang Zhang, Jingyu Huang, Xinqi Zhang, Linchong Ou
11,19
Abstract: When the speed of maglev trains reaches 600 km/h, the propagation characteristics of initial compression waves and radio frequency electromagnetic fields formed during their entry into tunnels become increasingly prominent. drawing upon the Navier-Stokes (N-S) equations for compressible viscous fluids and the SST k-ω turbulence model, this paper establishes a three-dimensional aerodynamic model of high-speed maglev trains passing through tunnels. The reliability of the numerical simulation metho...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P20
A National Census of Undergraduate Wind Tunnel Access Across U.S. Aerospace Programs
Author: Antonino Subijano, Aldrin Calderon
20,29
Abstract: Hands-on wind-tunnel experimentation is widely assumed to underpin undergraduate aerospace curricula, yet no census has quantified how broadly and how early those facilities are employed. This study inventories every U.S. stand-alone bachelor’s program accredited by ABET for the 2024-25 cycle whose degree title centers on aerospace or aeronautics (e.g., Aerospace Engineering; Aerospace Engineering Sciences; Aeronautical & Astronautical Engineering), excluding mechanical-engineering majors with a...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P30
A Heuristic Approach for Fixed-Route Vehicle Charging with Nonlinear Time-Dependent Charging Function
Author: Yangshuai Ke, Rui Luo, Jun Yang
30,36
Abstract: This paper investigates the Fixed-Route Vehicle Charging Problem based on Time (FRVCP-T), considering the nonlinear characteristics of electric vehicle (EV) charging functions. A new linearization method using secant lines is introduced to convert the nonlinear charging curve into a Mixed-Integer Linear Programming (MILP) model with significantly fewer variables. To solve large-scale instances efficiently, we propose a heuristic algorithm—Dynamic Iterative Partial Optimization with Tabu Search (...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P37
Analysis of Leakage And Remediation Measures for Large Water Conveyance Canals
Author: Shuguang Lv, Geng Wu, Peng Liu, Kai Wei, Haodong Cui
37,45
Abstract: It is crucial to effectively address the leakage risks associated with large water conveyance canals to ensure both the operational integrity of the project and the safety of cross-regional water transmission. This paper examines the leakage risk in a filling section of the main canal within the Middle Route of South-to-North Water Diversion Project (MRSNWD). The causes of leakage of large canals are systematically analyzed through geophysical detection, field water injection test and numerical ...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P46
Seasonal land-Sea Difference of Arctic Amplification Strength: Insights From Reanalysis Datasets
Author: Miao Fang, Huan Chang
46,52
Abstract: Quantitative and contrastive understanding of the seasonal land-sea difference in Arctic amplification (AA) strength is important but it still has not been well characterized. This research studied this issue using five reanalysis datasets and compared AA strength with exiting knowledges on AA variations. Results showed that the seasonal AA over Arctic land maintains a relatively stable magnitude (i.e., on the order of 2) and spatial coverage in different seasons; there is no AA effect in summer...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P53
Integrated Strategies for Saline-Alkali Soil Remediation: Advances in Plant-Microbe Interactions, CRISPR-Based Breeding, and Sustainable Biochar Applications
Author: Hu Liu, Qi Wang, Jian Wang, Hongfang Li, Hui Zhou, Weidong Xi, Lei Gao
53,60
Abstract: Saline-alkali soil degradation represents a critical challenge to global agricultural sustainability and food security. This comprehensive review synthesizes recent advances in biological remediation strategies, focusing on three key technological approaches: (1) plant-microbe interactions, where symbiotic relationships with microorganisms like Sinorhizobium meliloti enhance nitrogen fixation by 30% and Novosphingobium sp. improves phosphorus availability through rhizosphere acidification; (2) C...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P61
CSSWin-UNet: A Transformer UNet Combined with Patch-Based and Cross-Shaped Windows for Medical Image Segmentation
Author: Fufang Li, Xinting Chen
61,68
Abstract: In medical image segmentation, both Convolutional Neural Networks (CNNs) and self-attention mechanisms have shown success but also have limitations. CNNs excel at capturing local features but struggle with long-range dependencies, while self-attention effectively models global context but is computationally intensive and may lose fine local details. To address these challenges, we propose CSSWin-UNet, a novel U-shaped architecture that integrates two complementary self-attention mechanisms(Swin ...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P69
Beyond RGB-D: Quasi-Inverse Perspective Transformation Enables High-Precision Waste Segmentation in Noisy Construction Sites
Author: Xinxing Chen
69,75
Abstract: As a massive amount of waste generated by global construction activities, robots capable of automatically recycling construction waste have become effective tools for conserving natural resources. However, the complex environments of construction sites and the high diversity of waste materials pose challenges for robotic inspection, target recognition, and grasping. Achieving precise waste recognition is a prerequisite for stable grasping operations. In construction sites, complicated lighting c...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P76
Health State Prediction of Traction Motor Bearings Based on BiLSTM-Transformer
Author: Yumei Liu, Zongyao Li, Yanxuan Zhou, Ming Liu
76,83
Abstract: Bearings are core components of the traction system in high-speed trains, and ensuring their safe and reliable operation is essential for the normal functioning of the trains. Accurate health state prediction is critical to the safe operation and maintenance of traction motors in high-speed trains. For this reason, this paper first extracts time domain and frequency domain features from vibration signals, fuses degradation features using a Self-Organizing Map (SOM) neural network, and applies th...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P84
Design of Satellite Assembly Resource Management System Based on Data Mining
Author: Lei Feng, Huayuan Hu
84,90
Abstract: With the continuous breakthroughs in China's aerospace technology, the number of research and development tasks for large and medium-sized spacecraft has shown an explosive growth trend. In contrast, the production resources for spacecraft assembly have failed to grow proportionally, leading to localized shortages of production resources. On the other hand, the lack of flexible, objective, and simple resource regulation means has resulted in relatively rigid and immobile allocation of production...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P91
Three-Dimensional Flow Field Simulation and Recoil Reduction Effect Analysis of Muzzle Brake with Convergent-Divergent Curved Side Holes
Author: Zhenqiang Liao, Ming Qiu, Zilong Deng, Wei Lv
91,97
Abstract: Aiming at the problem of low recoil efficiency in the current muzzle brakes, based on the design scheme of the muzzle brake with U-shaped curved side holes, a muzzle brake with convergent-divergent curved side holes is designed. Taking a 30mm aircraft gun muzzle brake as an application case, and using the state of the internal bore gas flow when the projectile reaches the muzzle position as the initial condition, a computational method is adopted, where polyhedral meshes are used for the station...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P98
Strain and Lateral Deformation Monitoring of Reinforced Concrete Column using Distributed Fibre Optical Sensor
Author: Jun Xia, Rengeng Zheng, Jinfeng Zhang
98,104
Abstract: A reinforced concrete frame structure with a large-span curved beam was designed for a stadium. The finite element analyses show that the stiffness and thus the lateral deformation of the column are critical to the performance of the curved beam. Therefore, distributed fibre optical sensors (DFOS) were used to monitor the strain and lateral deformation. The sensors were installed on the reinforcing rebars close to the interior and exterior sides of the column, and the lateral deformation can be ...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P105
Research on Technical Characteristics and Standards of Real AIS Aids to Navigation
Author: Ying Luo, Zheng An, Tao Kong, Xiaoyu Du, Shuaiheng Huai
105,111
Abstract: As a navigational aid integrating advanced communication technologies, real Automatic Identification System Aids to Navigation (AIS AtoN) play an indispensable role in emerging fields such as offshore wind farm marking, digital waterway construction, and bridge collision prevention. Currently, a series of standards related to AIS AtoN have been published both domestically and internationally, but there remains a gap in China regarding standards for the performance and testing requirements of rea...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P112
Comparative Analysis of Reinforcement Methods for Containerized Propellant Transport: Specialized Railcars vs. Covered Wagons
Author: Zhen Zhou, Wen Ma, Shouzhong Wang, Yuan Cheng, Ningran Hou, Kaiyan Wang
112,118
Abstract: Transportation in pressure-rated containers is a prevalent method for liquid propellants in small volumes. Such containerized propellants are typically transported via specialized railcars or covered wagons. To establish standardized transport protocols and enhance the safety of propellant logistics, this study analyzes the structural dynamics associated with both transport modes, compares their reinforcement methodologies, and delineates optimal application scenarios. This investigation provide...
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DOI : https://doi.org/10.70114/acmsr.2025.4.1.P119
Study on The Thermal Characteristics of Solar Assisted Oxygen Enriched High Back Pressure Heating Units
Author: Zhiyu Zhang, Long Qin
119,126
Abstract: Establish a model of a solar-assisted oxygen-enriched high backpressure heating unit. Adopt the method of process simulation to explore the impacts of different solar energy coupling schemes on the power supply coal consumption rate, heating coal consumption rate of the unit, as well as the solar energy conversion efficiency and exergy efficiency. Additionally, conduct exergy analysis and economic analysis for different schemes. The research findings show that after adopting the optimal scheme, ...