2026 International Conference on Image Algorithms, Architecture, Physics, and Mechanical Engineering
ISBN: 9781965471111
Editorial Team : Peter Lee
The 2026 International Conference on Image Algorithms, Architecture, Physics, and Mechanical Engineering (ICIAPME 2026) is dedicated to establishing a high-level international platform for academic exchange and collaboration in the fields of image algorithms, architectural engineering, physics, and mechanical engineering. The conference aims to promote the dissemination of innovative ideas, encourage interdisciplinary integration, and facilitate the sharing of cutting-edge research achievements and practical engineering experience. ICIAPME 2026 provides a forum for researchers, scholars, engineers, and industry professionals to present recent advances in image processing and computational algorithms, architectural design and structural innovation, physical sciences, and mechanical systems and technologies. By fostering dialogue and collaboration among academia, research institutions, and industry, ICIAPME 2026 seeks to bridge theoretical research and practical applications, stimulate technological innovation, and address emerging scientific and engineering challenges. The conference also aims to support the development of intelligent technologies, advanced materials, and sustainable engineering solutions in response to the evolving demands of modern science, industry, and society.
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P1
Research on Building Extraction from Remote Sensing Images based on Deep Learning
Author: Guokuan He, Yuhong Wang, Ping Nie
1,8
Abstract: In this study, the LoveDa dataset is used to carry out experiments. In the data preprocessing stage, the sample size of the dataset is effectively expanded through data enhancement and normalization operations such as rotating, flipping, etc., so that the model can learn more images of buildings with different shapes and angles during the training process. Subsequently, the U-Net network model is trained using the processed dataset, paying close attention to the model's accuracy, F1 value and ot...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P9
Numerical Analysis of the Effect of Tunnel Span on the Dynamic Response of Tunnel under Strong Stress Waves
Author: Zihan Zhang, Shaoliu Liu
9,20
Abstract: Span significantly impacts tunnel bearing capacity, and this study investigates its influence on the dynamic response of straight-walled arch tunnels under strong ground impact loads. A dynamic finite element model is established to simulate the mechanical behavior of the tunnel under static and dynamic coupling conditions. The plastic zone evolution, peak particle velocity distribution, and tunnel displacement characteristics are analyzed using the dynamic finite element method for a tunnel sub...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P21
A Dual-Channel Feature Fusion Network of MACNN and Informer for Gearbox Fault Diagnosis under Variable Operating Conditions
Author: Zeyu Yang, Lijie Zhang, Ze Xu, Linfeng Han, Haotian Guo, Jiacheng Xu
21,32
Abstract: To address the difficulty of extracting and identifying gearbox fault features under varying operating conditions in industrial environments, a gearbox fault diagnosis method based on a dual-channel feature extraction and fusion network combining a multi-scale convolutional neural network (MACNN) and an Informer encoder is proposed. First, variational mode decomposition (VMD) and the fast Fourier transform (FFT) are applied to preprocess the raw vibration signals to explore multi-scale character...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P33
Theoretical Analysis, Practical Defects and Optimization Paths of Coupling Structures Between Blockchain and Federated Learning
Author: Xukai Cui, Hui Wang
33,41
Abstract: Federated learning, featuring "data available but not visible", enables cross-entity collaborative modeling while protecting data privacy. However, its traditional centralized architecture suffers from inherent drawbacks, including single-point failure, lack of trust, and insufficient incentive mechanisms. Blockchain technology, with its decentralization, immutability, and smart contract automation features, provides a targeted technical solution to address these issues. Recent studies have prop...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P42
Research on Floor Damage Classification of Optimized BP Neural Network Using Genetic Algorithm
Author: Ming Sun, Duo Yang, Xiaolong Jiang, Lei Qian
42,51
Abstract: Floor water inrush accidents are a significant component of mine water disasters, posing a serious threat to coal mine safety and production. Floor water inrush accidents are a significant component of mine water disasters, posing a serious threat to coal mine safety and production. The damage classification serves as a crucial indicator of the severity of floor water inrush accidents. This study outlines the primary control factors influencing floor damage classification. Utilizing a genetic al...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P52
Particle assembly based on double-sided acoustic holography
Author: Najat Hussain, Yonghao Wen, Zonglin Li, Yuan Zhou, Laixin Huang, Fei Li
52,58
Abstract: Acoustic holography (AH) has emerged as a powerful technique for non-invasive and contactless manipulation of microscopic objects, enabling precise spatial organization in bioassembly and tissue modeling. Compared with a single lens for only phase modulation, using two lenses provides phase and amplitude modulation in acoustic field control, resulting in higher quality holographic images. However, dual-lens configurations suffer from acoustic refraction effects and therefore require precise posi...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P59
Research on the Bearing Structure Movement of Overburden Strata in Stope under Thick Sandstone Conditions and Its Energy Accumulation and Dissipation Evolution Characteristics
Author: Qingwei Bu, Bin Ma, Zheng Wei, Jiawang Song, Wenxue Gao, Baoping Du, Haipeng Wang, Yuhan Bai, Xuwei Mao, Jian Cao
59,69
Abstract: In response to the complex occurrence of coal bearing strata leading to severe overburden strata instability and mining pressure, especially the instability of thick sandstone roof causing strong dynamic pressure disasters, threatening operational safety, and causing surface damage. This article takes the fully mechanized coal mining face with thick sandstone conditions in the western mining area of Inner Mongolia as the research object, and uses a combination of physical model experiments and n...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P70
Research on the Evaluation Method of Asphalt Mixture Uniformity Based on Shape-Centre Method
Author: Shuailin Wang, Tuanwei Sun, Jintao Wei, Xuquan Hu, Chenchen Xi, Shoujing Yan, Jiachen Shi, Wei Zhan
70,76
Abstract: In order to control the quality of the project and reduce the impact of asphalt pavement segregation on the early road service life, this paper investigates the asphalt mix paving uniformity. First of all, based on the theory of form-centered method, the article proposes an evaluation method using weighted form-centered distance coefficient of variation to evaluate the uniformity of asphalt mixture. Then, a series of operations such as preprocessing and image segmentation were performed based on...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P77
A Joint Time-Frequency Scaling Algorithm for Squint SAR Imaging
Author: Liang Ni, Chengshan Yang, Jinqiang Zhang, Yujie Liang
77,84
Abstract: Squint radar imaging is an important working mode for synthetic aperture radar (SAR). To facilitate the accumulation of azimuth energy, range walk correction is commonly applied to straighten the envelopes of the scattering points. However, this process violates the principle of translation invariance, causing azimuth spatial-variant effects in range migrations and Doppler coefficients. Consequently, conventional imaging methods struggle to achieve effective and uniform focusing across the entir...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P85
Composite-Phase Spin-Multiplexed Metasurface for Multi-Channel Perfect Vortex Vector Beams
Author: Zihan Zhang, Zhengtai Ma, Xianzi Pei, Xiaowei Qin, Yiyang Xie
85,90
Abstract: To meet the increasing demands of high-speed, high-capacity data transmission in 5G commercialization, vortex beams carrying orbital angular momentum (OAM) have emerged as a promising approach for introducing additional multiplexing dimensions. In this work, a spin-multiplexed metasurface based on a composite-phase modulation mechanism is proposed and numerically verified. Rectangular GaAs nanofins enable independent phase control of left- and right-handed circularly polarized light, integrating...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P91
Research on Underwater Structured Light Three-Dimensional Reconstruction Based on Deep Learning
Author: Yuheng Wang, Haojun Zhang, Lei Lu, Zhilong Su, Wei Pan
91,99
Abstract: Underwater structured light three-dimensional (3D) imaging is essential for applications in underwater exploration and inspection. However, it suffers from stripe brightness attenuation, contrast reduction, and random noise introduction due to absorption, scattering, and refraction across media interfaces, leading to degraded stripe decoding and reconstruction accuracy. This paper presents a diffusion model-based approach for underwater structured light 3D reconstruction. Without altering the co...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P100
Effects of Near-Field Phase and Amplitude Deviations on the Far-Field Beam Quality of Hexagonally Packed VCSEL Arrays
Author: Baozhuo Jiang, Zhengtai Ma, Shangkun Li, Chengcheng Huang, Huan Zhang, Pengying Chang, Yiyang Xie
100,106
Abstract: Vertical Cavity Surface Emitting Laser (VCSEL) coupled arrays are promising for high-power and high-beam-quality applications. However, optical field coupling among array elements in practical operation induces phase and amplitude non-uniformities that degrade far-field beam quality. In this work, the effects of near-field phase and amplitude non-uniformities on the far-field beam quality of hexagonally packed VCSEL arrays are investigated. Based on Gaussian beam propagation theory, a theoretica...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P107
Calculation method for braking energy during aircraft aborted takeoff
Author: Fengmin Zheng, Junqiang Bai, Lei Qiao, Yizhen Li
107,112
Abstract: The conventional calculation of braking energy for aircraft is mainly aimed at the landing phase, while there is relatively little research on the calculation method of braking energy for dangerous conditions such as aircraft takeoff suspension. Based on this, combined with the aircraft ground kinematics and dynamics models, and considering the changes in flight parameters during the entire process of releasing the drag parachute during the aircraft's takeoff suspension, according to the princip...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P113
Effect of Tool Traversing Speed on Microstructure, Interface and Properties of Al/Steel Friction Stir Welding Lap Joints
Author: Linghang Ma, Yijun Liu, Xu Zhang, Guo Chen, Yue Xie, Shikang Gao, Weizhao Sun, Li Zhou
113,123
Abstract: Dissimilar materials of Al/Steel; Friction stir lap welding; Interface; Microstructure; Mechanical properties
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P124
Underactuated Merchant Ship Trajectory Tracking Control with Anti-Interference Capability Based on L1-LOS Guidance and Multi-Parameter PSO-PID Optimization
Author: Xinhao Huang, Yongzheng Li, Biwei Wang, Lin Jiang, Liting Ding, Jiazheng Liu, Zeyu Chen
124,134
Abstract: Aiming at the problems of low response efficiency of large heading deviation and low accuracy of trajectory tracking under complex sea state in trajectory tracking control of underactuated merchant ships, this study proposes an improved L1-LOS(LL) algorithm, which introduces the Line-of-Sight (LOS) guidance algorithm in the curved path scenarios with large heading errors on the basis of traditional L1 algorithm to take advantage of its fast response algorithm to correct the large heading errors ...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P135
Research on Virtual Reality Motion Sickness Recognition Model Based on 1D-CNN Using EEG Signals
Author: Dongxue Chen, Shuai Wang, Yue Yuan
135,142
Abstract: Virtual Reality technology holds broad application prospects across various fields, but "Virtual Reality Motion Sickness " has emerged as a critical bottleneck restricting its development. This study aims to deeply explore the neural mechanisms of VRMS through Brain-Computer Interface technology. A high-precision Electroencephalogram (EEG) system was employed to collect EEG signals and subjective motion sickness scores from 23 participants before and after exposure to VR scenarios under strictly...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P143
CLANet: A Hybrid Encoder for EEG Emotion Recognition via Spatiotemporal-Spectral Feature Fusion
Author: Huiwen Chen, Hongyu Liu, Naishi Feng
143,150
Abstract: Human emotion is a core link between cognition, behavior, and physiology, and its accurate recognition is crucial for advancing the development of intelligent human-computer interaction, mental health diagnosis, and other related fields. Current research mostly achieves multi-domain feature fusion through simple concatenation or weighted fusion at the algorithmic level, failing to fully reveal and exploit the feature contribution rates associated with emotional processing. To address the aforeme...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P151
High-performance, double node charge sharing tolerant storage cell design
Author: Tianwen Li, Shoubing Qi, Hongjin Liu
151,160
Abstract: As device feature sizes shrink, inter-node charge sharing compromises the SEU sensitivity of hardened SRAM cells. By analyzing upset mechanisms in the unhardened cell, Quatrol, LIU, and DICE, a novel SEU hardened 14T cell is proposed. The new design is compared and analyzed in terms of area, delay,static power consumption, and sensitivity to single-event upsets, against state-of-the-art hardened cells. Due to fewer sensitive nodes prone to upsets, the proposed design exhibits superior immunity t...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P161
Study on the Developmental Characteristics of Water-Conducting Fracture Zones in Multi-Slice Mining of Thick Coal Seams within the Gondwana Stratigraphy
Author: Xuwei Mao, Liang Li, Jian Cao, Xueyi Yu, Lidong Ma, Zhiqiang Zhao
161,171
Abstract: The geological strata of the Barapukuria Coal Mine in Bangladesh are affiliated with the Gondwana Formation. To ensure safe future mining of thick coal seams under aquifers, the development law of the Water-Flowing Fractured Zone (WFZ) during slice extraction was investigated.The development height of the WFZ was predicted via numerical simulation.. Field measurements of the WFZ height were subsequently conducted for each mining slice, and regression analysis was performed to establish a mine-sp...
OPEN ACCESS
DOI : https://doi.org/10.70114/acmsr.2026.6.1.P172
Deep Learning–Based Classification of SERS Spectra for Simultaneous Identification of Clenbuterol, Ractopamine and Salbutamol
Author: Tianzhen Yin, Yankun Peng, Yongyu Li
172,178
Abstract: The illicit residue of lean meat agents poses a severe challenge to global food safety, seriously threatening public health. To address the complex and time-consuming nature of traditional detection methods, this study proposes a novel classification method based on a deep learning neural network for Surface-Enhanced Raman Scattering (SERS) spectra, aiming to achieve rapid and accurate identification of three typical lean meat agents: clenbuterol, salbutamol, and ractopamine. Targeting the commo...