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5th International Conference on Signal Processing and Computer science, SPCS 2024

作者： Li, Xianyi School of Control Science and Engineering Shandong University Shandong Jinan250002 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

In this paper, a new network called CSGNet is introduced for automatic modulation recognition, designed to improve recognition accuracy in complex electromagnetic environments. This innovative network leverages the strengths of both Convolutional Neural Networks (CNN) and Gate Recurrent Units (GRU) while mitigating their inherent weaknesses. Additionally, it incorporates a Self-Attention mechanism to further enhance its perceptual abilities. The primary advantage of this method is its superior recognition accuracy under low SNR conditions compared to traditional methods. The process starts by extracting basic I/Q data from the RadioML 2018.01a dataset as input. Subsequently, the CSGNet model performs an end-to-end modulation recognition task. The results demonstrate that this method excels at multiple SNR levels, highlighting the significant potential of deep learning in solving automatic modulation recognition challenges. This study underscores the effectiveness of integrating CNN, GRU, and Self-Attention mechanisms in enhancing the robustness and accuracy of modulation recognition systems. Furthermore, it demonstrates how deep learning techniques can be effectively applied to complex signal processing tasks. The findings suggest that CSGNet could be a valuable tool for improving communication systems, especially in challenging environments with low SNR. © 2025 SPIE.

关键词： Modulation Signal to noise ratio Feature extraction Deep learning Matrices Data modeling Machine learning Data processing Neural networks Quadrature amplitude modulation

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HO-Based Auto-disturbances Rejection control of Mode Transition Processes in Turbine-Based Combined Cycle Engine 7th

HO-Based Auto-disturbances Rejection Control of Mode Transit...

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7th China Aeronautical science and Technology Conference, CASTC 2024

作者： Wang, Yichao Wang, Chen Du, Xian Ma, Yanhua Liu, Kunzhi Sun, Ximing School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9789819797707

The turbine-based combined cycle (TBCC) engine mode transition process control problem is crucial for TBCC control. In this paper, the HO-based auto-disturbances rejection control (HO-ADRC) is proposed. The Hippopotamus Optimization (HO) algorithm is introduced into the ADRC parameter optimization, a multivariable controller is designed, and the flow matching problem of the inlet and the turbine during the transition process is taken into account. As far as the optimization of searching performance metrics is concerned, HO can lead to a performance improvement of 9.8% compared to Sparrow Search Algorithm (SSA) and 4.3% compared to Genetic Algorithm (GA). The HO-ADRC control effect results in a smoother thrust transition and a tracking speed improvement of 69.9% and 57.2% compared to PID and ADRC. © Chinese Society of Aeronautics and Astronautics 2025.

关键词： Genetic algorithms

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An Integrated Experimental-Simulation Calibration Method for the Constitutive Model of 6005A-T6 Aluminum Alloy Welds

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Chinese Journal of Mechanical engineering 2025年第1期38卷 233-245页

作者： Yu Zhu Lele Zhang Weiyuan Dou Wen Liu School of Mechanical Electronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China National International Science and Technology Cooperation Base Beijing Jiaotong UniversityBeijing 100044China

Due to the different microstructures caused by the heat source effect,welding joints exhibit significant differences in mechanical properties compared to the base *** characterization of the constitutive characteristics of the welded joint requires a large number of repetitive experiments,which are costly,inefficient,and have limited accuracy *** paper proposes an integrated experimental-simulation-based inverse calibration method,which establishes a calibration optimization problem based on the corresponding constitutive model and a finite element calculation model built by the distribution of hardness in the *** the global tensile force-displacement curve of the MIG-welded 6005A-T6 aluminum alloy specimen and the experimental data of local deformation with time change obtained from DIC(Digital Image Correlation),the parameters involved in the constitutive models are optimized *** method can directly obtain the constitutive characteristics of the weldment under conditions of limited experiments and insufficient ***,the adaptability of the constitutive model to the calibration method and the influence of optimization results are discussed and *** results indicate that the global force-displacement response of the non-saturated Ramberg-Osgood(R-O)model is in the best agreement with that of the experimental data,and the energy error is only 2.62%,followed by the MPL model,while the saturation-based Voce model shows the largest simulation error in terms of the presented ***,the simulation results of R-O,Voce,and MPL models in the local area are far superior to traditional fitting methods.

关键词： 6005A-T6 aluminum alloy MIG-weld joint Parameter calibration Elastic-plastic constitutive model DIC

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Research and Design of Industrial Transportation Oxygen Cylinder Detection and Tracking Based on Deep Learning

IAENG International Journal of Computer Science

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IAENG International Journal of Computer science 2025年第3期52卷 589-597页

作者： Ma, Minghao Xu, Shaochuan Liu, Dehua School of Electronic Information University of Science and Technology Liaoning Anshan114051 China School of Control Science and Engineering University of Science and Technology Liaoning Anshan114051 China Anshan Liaoning University of Science and Technology 114051 China

To enhance the detection capabilities for identifying illegal operations by oxygen factory workers and abnormal conditions of oxygen cylinders, this paper proposes an algorithm based on YOLOv7 to improve target detection. The algorithm specifically addresses the need to check whether sufficient rubber rings are installed on the oxygen cylinders and to detect whether the oxygen cylinders are rolling on the ground. A small object detection layer was introduced to enhance the capture of shallow features. Additionally, the accuracy was improved by incorporating the CBAM Attention Mechanism module. The actual field dataset was utilized for ablation and comparison tests. Safety inspections were conducted through target detection and tracking to timely identify illegal and abnormal operations, thereby avoiding repeated alarms for the same target. The issues of misjudgment and missed detection of small targets, such as rubber rings, were resolved. This significantly improved detection accuracy, reduced labor costs, and provided assurance for the safety of the factory production process. © (2025), (International Association of Engineers). All rights reserved.

关键词： Crime

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Fabrication of straw-based graphene aerogels for oil/water separation: the effects of crude fiber fractions in straw

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Environmental science and Pollution Research 2025年第1期32卷 43-55页

作者： Dan, Hongbing Gao, Yue Wei, Xianxiao Yue, Qinyan Gao, Baoyu Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and Engineering Shandong University Jinan250100 China

Benefiting from its abundance, eco-friendliness, and sustainability, crop straw is considered a promising candidate combined with graphene oxide (GO) to fabricate straw-based graphene aerogels (SGAs) for oil/water separation. However, considering the complex composition of straw, the roles played by different crude fibers in straw in the formation of SGAs are still unclear. Herein, wheat straw (WS) was used in this work and pretreated with acid and alkali to regulate its crude fiber fractions. Then, it was crosslinked with GO to fabricate various SGAs for comparing their differences in the formation, structure, and oil/water separation performance. Results indicated that acid can remove plentiful hemicellulose from the WS (from 29.9 ± 2.1 to 7.0 ± 0.8 wt%) while retaining most lignin and cellulose;alkali can retain cellulose (from 32.4 ± 3.6 to 70.6 ± 1.3 wt%) while greatly removing lignin and hemicellulose. Ascribed to high BET surface area and porous structure, the graphene aerogels formed by acid-/alkali-treated WS demonstrated superior oil absorption capacity (AC-WSGA: 62.3–126.0 g/g and AL-WSGA: 66.3–125.2 g/g). The poor mechanical compressibility of AC-WSGA was caused by the high lignin residue (16.2 ± 0.7 wt%) in AC-WS. The maximum compressive stress for AL-WSGA under 60% strain was 1.6 kPa, ensuring it achieved recoverable oil-absorbing properties by extrusion. The above findings suggested that cellulose and hemicellulose in straw contributed to the formation of SGAs with abundant porous and compressible architecture, whereas the presence of lignin greatly increased the brittleness of SGAs and decreased their oil removal and recycling performances. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Aerogels

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Active Fault Tolerant control for PEM Fuel Cells Under Cathode Flooding

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8043-8053页

作者： Chen, Jian Yan, Chizhou Kumar, Lalitesh Jin, Lei Li, Xinyu Southern University of Science and Technology School of Automation and Intelligent Manufacturing Shenzhen518055 China Zhejiang University School of Mechanical Engineering Hangzhou310058 China Zhejiang University College of Control Science and Engineering Hangzhou310027 China

Proper fault tolerant control is a key issue to extend the lifetime of proton exchange membrane fuel cells. This paper proposes a fault tolerant control algorithm to realize performance recovery under flooding. A water transfer model of the PEM fuel cells is established and verified, and a flooding fault indicator is developed for diagnosing the fault in real time. Thereafter, an active fault tolerant controller based on the water transfer model and the fault indicator is developed in order to recover the performance characteristics of the PEM fuel cells. Experimental results show that the proposed fault indicator can accurately identify the flooding, and the fault tolerant controller can effectively suppress the water management failure. Thereby improving the reliability of the PEM fuel cells. © 2015 IEEE.

关键词： Fault detection

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Bandgap characteristics analysis and graded design of a novel metamaterial for flexural wave suppression

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 1-24页

作者： Fan YANG Zhaoyang MA Xingming GUO Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Institute of Applied Mathematics and MechanicsSchool of Mechanics and Engineering ScienceShanghai UniversityShanghai 200072China Shanghai Institute of Aircraft Mechanics and Control Shanghai 200092China

A novel elastic metamaterial is proposed with the aim of achieving lowfrequency broad bandgaps and bandgap *** band structure of the proposed metamaterial is calculated based on the Floquet-Bloch theorem,and the boundary modes of each bandgap are analyzed to understand the effects of each component of the unit cell on the bandgap *** is found that the metamaterials with a low elastic modulus of ligaments can generate flexural wave bandgaps below 300 ***-frequency vibrations can be suppressed through the selective manipulation of *** dual-graded design of metamaterials that can significantly improve the bandgap width is proposed based on parametric studies.A new way that can regulate the bandgap is revealed by studying the graded elastic modulus in the *** results demonstrate that the nonlinear gradient of the elastic modulus in the substrate offers better bandgap *** on these analyses,the proposed elastic metamaterials can pave the way for multi-frequency vibration control,low-frequency bandgap broadening,and bandgap tuning.

关键词： metamaterial flexural wave bandgap local resonance graded design

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Unified Modeling and control Method of Hybrid Modulation of LLC Resonant Converter 11th

Unified Modeling and Control Method of Hybrid Modulation of ...

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11th Frontier Academic Forum of Electrical engineering, FAFEE 2024

作者： Zhou, Qihao Liu, Baoquan Han, Meng School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi’an710021 China

ISBN: (纸本)9789819788316

The LLC resonant converter, as a mainstream high-efficiency DC-DC converter, suffers from a narrow voltage regulation range. By employing a hybrid modulation technique combining Pulse Frequency Modulation (PFM) and Phase Shift Modulation (PSM), the voltage regulation range can be effectively expanded. However, traditional single controllers cannot simultaneously ensure system stability and responsiveness in both operating modes. To address this issue, a unified model for LLC resonant converters with hybrid modulation is proposed. Initially, the small-signal model of the LLC converter under PFM and PSM modulation modes is established using extended describing function method. Then, by introducing an intermediate control quantity and aiming for consistent model gain variation rates, the intermediate function is solved to obtain the unified model of the LLC resonant converter. Finally, based on this unified model, a PI controller is designed, and an experimental platform is constructed to validate its effectiveness. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Signal modulation

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A Clustering Method for Retired Power Batteries Using SGA-FCM 11th

A Clustering Method for Retired Power Batteries Using SGA-FC...

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11th Frontier Academic Forum of Electrical engineering, FAFEE 2024

作者： Ma, Huihai Song, Yilong Song, Jinpeng Xie, Shihong Kang, Jiayu School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi’an710021 China

ISBN: (纸本)9789819788316

In order to tackle the issue of poor consistency of internal individual parameters in retired electric vehicle batteries, an SGA-FCM amended fuzzy C-means clustering method is proposed. Firstly, select sorting parameters based on the second-step Thevenin equivalent RC circuit model of lithium battery cells to construct a retired battery sorting model and choose the terminal voltage, remaining capacity along with equivalent total resistance of battery cells as the sorting arguments. Secondly, a simple genetic algorithm is introduced to preprocess the initial clustering centers to achieve global optimal sorting based on the sensitivity of traditional FCM to outliers. The final simulation results of algorithm running show that the sorting efficiency and accuracy can be improved in some degree by the SGA-FCM, and the static and dynamic properties of the new battery modules after sorting also meet the national standards requirements, which means that the consistency of batteries can be effectively guaranteed. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Genetic algorithms

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Research on control Strategies for Partially Observable Discrete Event Systems Based on Normal State Tree Structure 24

Research on Control Strategies for Partially Observable Disc...

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5th International Conference on Computer science and Management Technology, ICCSMT 2024

作者： Gu, Chan Tang, Bo Chi, Encheng School of Electrical and Control Engineering Shaanxi University of Science and Technology Shaanxi Xi'an China

ISBN: (纸本)9798400709999

In the process of modeling and solving large-scale complex systems, issues with complex state structures and low computational efficiency are often *** partially observable discrete event systems, this paper proposes a method that utilizes state tree structures for modeling and analyzes global behavior through local *** demonstrates the existence of non-blocking, weakly controllable coreachable and observable (WCCO) subpredicates and their solving *** order to effectively represent these complex system states, the paper employs the use of Binary Decision Diagrams (BDD), which are capable of compactly and efficiently representing state tree *** feasibility of the proposed algorithm is verified through practical examples, showing that the algorithm exhibits higher fault tolerance and flexibility in handling complex systems, enabling the development of more forgiving control *** not only enhances the stability and reliability of the system but also provides new solutions for supervisory control in practical engineering applications. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Binary decision diagrams

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