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4th Asia Conference on Information engineering, ACIE 2024

作者： Lv, Zirong China University of Geosciences Hubei Key Lab. of Adv. Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation Wuhan China

ISBN: (纸本)9798350371925

Crop disease diagnosis is of great significance for crop yield and agricultural production. Deep learning methods have become a major research direction for solving crop disease diagnosis. However, recent studies have shown that deploying complex neural network models on mobile devices poses a significant challenge to mobile hardware performance. To address this issue, this paper proposes a lightweight network model based on the Transformer and deploys it on mobile devices. Compared to other lightweight network models, our approach significantly reduces computational complexity using Transformer modules and exhibits a particular advantage in recognition accuracy. It achieves a recognition rate of 97.76% for ten categories of tomato diseases, while the model size is only 3.86 MB. Furthermore, we deploy the model on embedded devices and apply it to tomato crop recognition, enabling farmers to monitor crop conditions in real-time and realizing smart agriculture. © 2024 IEEE.

关键词： Deep learning

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Genetic Algorithm-Based Two-Layer Predictive Optimization control 25

Genetic Algorithm-Based Two-Layer Predictive Optimization Co...

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25th IEEE International Conference on Industrial technology, ICIT 2024

作者： Peng, Feng Liu, Xiaokun Wang, Tong Yang, Xuebo Research Institute Of Intelligent Control And Systems Harbin Institute Of Technology Harbin China Aerospace System Engineering Shanghai Shanghai China

ISBN: (纸本)9798350340266

In this paper, a two-layer predictive optimization control strategy is proposed to address the complex optimization control problem for industrial processes. At the upper layer, a rigorous optimization issue is addressed with an economic objective function by utilizing the genetic algorithm (GA). The optimal setpoints are obtained online for different production scenarios and are then transmitted to the lower layer. At the lower layer, a model predictive control (MPC) method is employed to accurately track the decomposed optimal setpoints. Moreover, both feasibility of the optimization and closed-loop stability can be proved theoretically. Simulation examples verify the efficacy of the proposed strategy. © 2024 IEEE.

关键词： Model predictive control

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A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1150-1167页

作者： Liang Zhang Qi Kang Qi Deng Luyuan Xu Qidi Wu the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the Jiangsu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise Suzhou 215104China the Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 200092China

In solving many-objective optimization problems(MaO Ps),existing nondominated sorting-based multi-objective evolutionary algorithms suffer from the fast loss of selection *** candidate solutions become nondominated during the evolutionary process,thus leading to the failure of producing offspring toward Pareto-optimal front with *** we find a more effective way to select nondominated solutions and resolve this issue?To answer this critical question,this work proposes to evolve solutions through line complex rather than solution points in Euclidean ***,Plücker coordinates are used to project solution points to line complex composed of position vectors and momentum *** position vectors of the solution points,momentum vectors are used to extend the comparability of nondominated solutions and enhance selection ***,a new distance function designed for high-dimensional space is proposed to replace Euclidean distance as a more effective distancebased *** on them,a novel many-objective evolutionary algorithm(MaOEA)is proposed by integrating a line complex-based environmental selection strategy into the NSGAⅢ*** proposed algorithm is compared with the state of the art on widely used benchmark problems with up to 15 *** results demonstrate its superior competitiveness in solving MaOPs.

关键词： Environmental selection line complex many-objective optimization problems(MaOPs) Plücker coordinate

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Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships

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Computers, Materials & Continua 2024年第6期79卷 4259-4281页

作者： Xiuyang Meng Chunling Wang Jingran Yang Mairui Li Yue Zhang Luo Wang School of Information Science and Technology Beijing Forestry UniversityBeijing100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing100083China

Suicide has become a critical concern,necessitating the development of effective preventative *** media platforms offer a valuable resource for identifying signs of suicidal *** progress in detecting suicidal ideation on social media,accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant *** tackle this,we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships(TCNN-SN).This model enhances predictive performance by leveraging social network relationship features and applying correction factors within a weighted linear fusion *** is specifically designed to identify key individuals who can help uncover hidden suicidal users and *** model,assessed using the bespoke dataset and benchmarked against alternative classification approaches,demonstrates superior accuracy,F1-score and AUC metrics,achieving 88.57%,88.75%and 94.25%,respectively,outperforming traditional TextCNN models by 12.18%,10.84%and 10.85%.We assert that our methodology offers a significant advancement in the predictive identification of individuals at risk,thereby contributing to the prevention and reduction of suicide incidences.

关键词： Suicide risk prediction social media social network relationships Weibo Tree Hole deep learning

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Development of a PLCopen-Based controller for Flexible Fatigue Test Applications 30

Development of a PLCopen-Based Controller for Flexible Fatig...

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lyu, Xiaofan Wang, Pingjiang Gao, Chaoyang Zhao, Donglin Wei, Peng Luo, Wenbin Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan China Quanzhou Hust Research Institute of Intelligent Manufacturing QuanZhou China Huazhong University of Science and Technology National Numerical Control System Engineering Research Center Wuhan China

ISBN: (纸本)9798350391916

Aiming at the flexibility and reconfigurability needs for fatigue test applications, the demand for a PLCopen-based development framework arises. In this study, we utilize the IEC 61131-3 programmable language and PLCopen specifications to design the controller for electro-hydraulic servo loading system. Firstly, PLCopen group function block diagrams are proposed in accordance with experiments. Multiple groups can manage different experiments simultaneously. Then, PLCopen channel function block diagrams are designed to manage district channels in a group. To correct tracking errors, each channel incorporates a peak-valley phase compensator. Peak-valley phase compensator could potentially be used to adjust for multi-frequency sinusoidal spectrum. Finally, simulation and experiment results verify that tracking error could be kept within a defined neighbourhood region. © 2024 IEEE.

关键词： Fatigue testing

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In-situ coupling construction of interface bridge to enhance electrochemical stability of all solid-state lithium metal batteries

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Journal of Energy Chemistry 2024年第2期89卷 18-26,I0003页

作者： Qianwei Zhang Rong Yang Chao Li Lei Mao Bohai Wang Meng Luo Yinglin Yan Yiming Zou Lisheng Zhong Yunhua Xu International Research Center for Composite and Intelligent Manufacturing Technology Institute of Chemical Power SourcesXi’an University of TechnologyXi’an 710048ShaanxiChina School of Materials Science and Engineering Xi’an University of TechnologyXi’an 710048ShaanxiChina School of Electrical Engineering Xi’an University of TechnologyXi’an 710048ShaanxiChina Yulin University Yulin 719000ShaanxiChina

Polymer-based composite electrolytes composed of three-dimensional Li_(6.4)La_(3)Zr_(2)Al_(0.2)O_(12)(3D-LLZAO)have attracted increasing attention due to their continuous ion conduction and satisfactory mechanical ***,the organic/inorganic interface is incompatible,resulting in slow lithium-ion transport at the ***,the compatibility of organic/inorganic interface is an urgent problem to be *** by the concept of“gecko eaves”,polymer-based composite solid electrolytes with dense interface structures were *** bridging of organic/inorganic interfaces was established by introducing silane coupling agent(3-chloropropyl)trimethoxysilane(CTMS)into the PEO-3D-LLZAO(PL)*** in-situ coupling reaction improves the interface affinity,strengthens the organic/inorganic interaction,reduces the interface resistance,and thus achieves an efficient interface ion transport *** prepared PEO-3D-LLZAO-CTMS(PLC)electrolyte exhibits enhanced ionic conductivity of 6.04×10^(-4)S cm^(-1)and high ion migration number(0.61)at 60℃and broadens the electrochemical window(5.1 V).At the same time,the PLC electrolyte has good thermal stability and high mechanical ***,the Li Fe PO_(4)|PLC|Li battery has excellent rate performance and cycling stability with a capacity decay rate of 2.2%after 100 cycles at 60℃and 0.1 *** advantages of PLC membranes indicate that this design approach is indeed practical,and the in-situ coupling method provides a new approach to address interface compatibility issues.

关键词： Organic/inorganic interphase Coupling effect Composite electrolyte Interface compatibility

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CNN demodulation model with cascade parallel crossing for CPM signals

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The Journal of China Universities of Posts and Telecommunications 2024年第3期31卷 30-42页

作者： Yang Jiachen Duan Ruifeng Li Chengju School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China

The continuous phase modulation(CPM)technique is widely used in range telemetry due to its high spectral efficiency and power ***,the demodulation performance of the traditional maximum likelihood sequence detection(MLSD)algorithm significantly deteriorates in non-ideal synchronization or fading *** address this issue,this work proposes a convolutional neural network(CNN)called the cascade parallel crossing network(CPCNet)to enhance the robustness of CPM signals *** CPCNet model employs a multiple parallel structure and feature fusion to extract richer features from CPM *** approach constructs feature maps at different levels,resulting in a more comprehensive training of the model and improved demodulation *** results show that under Gaussian channel,the proposed CPCNet achieves the same bit error rate(BER)performance as MLSD method when there is no timing error,but with 1/4 symbol period timing error,the proposed method has 2 dB demodulation gain compared with CNN and convolutional long short-term memory deep neural network(CLDNN).In addition,under Rayleigh channel,the BER of the proposed method is reduced by 5%-87%compared to that of MLSD in the wide signal-to-noise ratio(SNR)region.

关键词： continuous phase modulation(CPM) convolutional neural network(CNN) maximum likelihood sequence detection(MLSD) Rayleigh fading timing error

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A Dual-input Electromagnetic Inverse Scattering Algorithm Based on Improved U-net

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Applied Computational Electromagnetics Society Journal 2024年第11期39卷 961-969页

作者： Yang, Chun Xia Meng, Jun Jie Wei, Shuang Tong, Mei Song Shanghai Engineering Research Center of Intelligent Education and Bigdata Shanghai Normal University Shanghai200234 China Department of Electronic Science and Technology Tongji University Shanghai201804 China

In this paper, we propose a dual-input inversion method based on deep learning to improve the accuracy of electromagnetic imaging using the back propagation algorithm (BP). An improved U-Net network is utilized to reconstruct the scatterers. Unlike other deep learning inversion methods, we input both the scatterer distribution data from BP imaging and the scattered field data received by the antennas into the neural network for training. This approach leads to a more accurate prediction of scatterer positions and characteristics. Compared to predicting the scatterers using only the scattered field as input, adding the BP imaging results at the input provides the neural network with more information, significantly reduces the learning difficulty, minimizes errors, and enhances the quality of imaging. To address potential gradient vanishing and spatial information loss during network training, we integrate attention mechanisms and residual modules into the basic U-Net network. The former helps the network extract important relevant information under different contrast conditions, while the latter focuses on solving the problems of gradient vanishing and explosion. Simulation experiments confirm that our dual-input inversion method significantly reduces the average error, outperforming traditional single-input reconstruction methods. © ACES.

关键词： Backpropagation

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Effect of lateral stress on frictional properties of a fracture in sandstone

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Journal of Rock Mechanics and Geotechnical engineering 2024年第11期16卷 4416-4427页

作者： Zhechao Wang Jinmeng Zhao Derek Elsworth Xia-Ting Feng Pengyu Wang Institute of Deep Engineering and Intelligent Technology Northeastern UniversityShenyang110819China Liaoning Provincial Research Center on Underground Storage Engineering Shenyang110819China Energy and Mineral Engineering EMS Energy Institute and G3 CenterPennsylvania State UniversityUniversity Park16802USA

The injection of large volumes of natural gas into geological formations,as is required for underground gas storage,leads to alterations in the effective stress exerted on adjacent *** increases the potential for their reactivation and subsequent earthquake *** measurements of the frictional properties of rock fractures have been conducted under normal and shear ***,faults in gas storage facilities exist within a true three-dimensional(3D)stress state.A double-direct shear experiment on rock fractures under both lateral and normal stresses was conducted using a true triaxial loading *** was observed that the friction coefficient increases with increasing lateral stress,but decreases with increasing normal *** impact of lateral and normal stresses on the response is primarily mediated through their influence on the initial friction *** allows for an empirical modification of the rate-state friction model that considers the influence of lateral and normal *** impact of lateral and normal stresses on observed friction coefficients is related to the propensity for the production of wear products on the fracture *** stresses enhance the shear strength of rock(*** criterion).This reduces asperity breakage and the generation of wear products,and consequently augments the friction coefficient of the ***,increased normal stresses inhibit dilatancy on the fracture surface,increasing the breakage of asperities and the concomitant production of wear products that promote rolling *** ultimately reduces the friction coefficient.

关键词： Sandstone fracture Friction coefficient Lateral stress Normal stress Shear rate Rate-state friction model

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Anti-Disturbance Formation control of Quadrotor UAVs Based on Terminal Sliding Mode control

Anti-Disturbance Formation Control of Quadrotor UAVs Based o...

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2023 China Automation Congress, CAC 2023

作者： Xin, Ying Ni, Hao Huang, Zihao He, Yongning Xia, Sigang Shanghai Aerospace Control Technology Institute Intelligent Flight Control Technology Research and Development Center Shanghai China Shanghai Institute of Mechanical and Electrical Engineering Electrical System Laboratory Shanghai China

ISBN: (纸本)9798350303759

In this paper, the anti-disturbance formation flight control of quadrotor UAVs system is realized based on terminal sliding mode control. The generalized error state is designed for each quad-rotor UA V, based on which the formation control target is proposed. In order to achieve the goal of anti-disturbance formation control, a formation controller based on terminal sliding mode control is designed. Finally, the general error states of all quadrotor UAVs converge to zero to achieve the desired formation. Finally, a simulation example is given to verify the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Multi agent systems

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