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2023 International Conference on New Trends in Computational Intelligence, NTCI 2023

作者： Xu, Zhenghui Wang, Xinzhe Shu, Kui Fan, Jianchao School of Information Science and Engineering Dalian Polytechnic University Dalian China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350380859

The process of classifying industrial castings and putting them into boxes heavily relies on human vision for judgment. When castings share similar colors, shapes, and sizes, manual classification often leads to misjudgments and inefficiencies, significantly impacting economic outcomes and product reputation. Consequently, rapid, accurate, and automated inspection and identification of industrial castings have become pivotal tasks. This study focuses on the arc-shaped pipe castings primarily used in firefighting applications. Leveraging the distinguishing feature of varying identification strings on similar castings, the research employs object detection techniques from computer vision. It integrates cameras for inspection and recognition, thereby considerably reducing costs and enhancing product efficiency. The main research work is to integrate the spatial and channel attention module (CBAM), which can improve the representation and differentiation of features, into the YOLOv7 framework, to better focus on feature information, capable of enhancing feature representation and discriminability. Moreover, to enhance the generalization and robustness of the model, data enhancement is carried out. At the same time, to strengthen the feature differentiation, the study innovatively introduces a dual-label annotation approach tailored to cases where similar castings only differ in identification strings. Comparative experiments demonstrate that CBAM-enhanced YOLOv7 achieves a MAP@0.5 of 99.91%, with a frames-per-second (FPS) rate of 33.41, it fully meets the requirements of accuracy and speed of casting inspection. Exceptional on-site performance of the model in factory tests validates the proposed method's effectiveness, offering valuable insights and strategies for addressing analogous challenges in industrial environments. © 2023 IEEE.

关键词： Object detection

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Accurate azimuth estimation method for FMCW radar based on moving arrays

Accurate azimuth estimation method for FMCW radar based on m...

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2024 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2024

作者： An, Tai Yan, Xiaopeng Han, Yanwen Dai, Jian Wang, Jiawei Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510680425

Addressing the current challenges of weak target azimuth detection and inadequate precision in frequency modulated continuous wave (FMCW) radar systems, this paper proposes a novel method for precise imaging based on a motion array using FMCW radar for accurate range and azimuth estimation. The approach involves the use of a millimeter-wave FMCW radar with a motion array to capture target angular information, leading to a substantial improvement in azimuth estimation resolution, particularly for munitions. Additionally, spatial Fourier transform array signal processing is employed to achieve two-dimensional precise imaging of radar targets, encompassing both range and azimuth dimensions. Experimental results validate the effectiveness of the proposed approach, showcasing an enhanced angular resolution of the millimeter-wave radar, reaching 2.6°. The method demonstrates favorable azimuth estimation outcomes in diverse scenarios, including those involving multiple and planar targets. Overall, the introduced technique significantly elevates the precise detection capability of automotive millimeter-wave radar systems. © 2024 SPIE.

关键词： Radar imaging

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Joint Vehicle Pairing, Spectrum Assignment and Power control for Sum-Rate Maximization in NOMA-Based V2X Underlaid Cellular Networks

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IEEE Internet of Things Journal 2025年第12期12卷 22337-22349页

作者： Xue, Tong Zhang, Haixia Ding, Hui Yuan, Dongfeng Shandong University of Science and Technology College of Electronic and Information Engineering Shandong Qingdao266590 China Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration Shandong Jinan250061 China Shandong University School of Control Science and Engineering Shandong Jinan250061 China

Vehicle-to-everything (V2X) underlaid cellular networks in underlaid mode suffers catastrophic co-channel interference caused by spectrum sharing, results in a reduced system sum-rate. To cope with this, this work studies a social-mobility-aware non-orthogonal multiple access (NOMA)-enabled V2X underlaid cellular network to mitigate the co-channel interference and improve the sum-rate. By jointly optimizing vehicle pairing and resources, a sum-rate maximization problem is formulated under the diverse quality of service requirements of both cellular and vehicular users. The formulated problem is proved to be a non-deterministic polynomial-time (NP)-hard problem, and is difficult to solve. As an alternative, we propose a NOMA-based joint vehicle pairing, spectrum assignment and power control algorithm (NOMA-JVP-SA-PCA), with which the original problem is decomposed into two disjoint subproblems, i. e., 1) joint vehicle pairing and spectrum assignment subproblem, and 2) power control subproblem. Dealing the first subproblem, we propose a heuristic social-mobility-aware vehicle pairing algorithm (HSMA-VPA) and a revised Kuhn-munkres-based spectrum assignment algorithm (KM-SAA) to acquire the vehicle pairing and spectrum assignment solutions. Then, solving the second subproblem, a closed-form power solution is obtained utilizing a three-dimensional geometric power control approach (3D-PCA). Finally, we solve the original problem through an iterative method. Simulation results show that the proposed NOMA-JVP-SA-PCA effectively enhances the sum-rate and outperforms the baseline algorithms around 24%-53% within a specific range. © 2014 IEEE.

关键词： Polynomial approximation

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Fuzzy-Model-Based Finite Frequency Fault Detection Filtering Design for Two-Dimensional Nonlinear Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2099-2110页

作者： Meng Wang Huaicheng Yan Jianbin Qiu Wenqiang Ji Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationSchool of Information Science and EngineeringEast China University of Science and TechnologyShanghai 200237China Research Institute of Intelligent Control and Systems School of AstronauticsHarbin Institute of TechnologyHarbin 150080China School of Artificial Intelligence Hebei University of TechnologyTianjin 300401China IEEE

This article studies the fault detection filtering design problem for Roesser type two-dimensional(2-D)nonlinear systems described by uncertain 2-D Takagi-Sugeno(T-S)fuzzy ***,fuzzy Lyapunov functions are constructed and the 2-D Fourier transform is exploited,based on which a finite frequency fault detection filtering design method is proposed such that a residual signal is generated with robustness to external disturbances and sensitivity to *** has been shown that the utilization of available frequency spectrum information of faults and disturbances makes the proposed filtering design method more general and less conservative compared with a conventional nonfrequency based filtering design ***,with the proposed evaluation function and its threshold,a novel mixed finite frequency H_(∞)/H_(-)fault detection algorithm is developed,based on which the fault can be immediately detected once the evaluation function exceeds the ***,it is verified with simulation studies that the proposed method is effective and less conservative than conventional non-frequency and/or common Lyapunov function based filtering design methods.

关键词： Fault diagnosis finite frequency specifications mixed H_(∞)/H_(-)performance two-dimensional nonlinear systems

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Application of a Multi Wing Chaotic System in Image Encryption 4

Application of a Multi Wing Chaotic System in Image Encrypti...

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4th International Conference on Neural Networks, Information and Communication engineering, NNICE 2024

作者： Shen, Min Wang, Yanling Li, Xiumin Zhao, Wenjing Guo, Shengjin Dai, Wenpeng Qilu Institute of Technology School of Intelligent Manufacturing and Control Engineering Jinan China Yantai University of Science and Technology School of College of Ocean Engineering Yantai China

ISBN: (纸本)9798350394375

Firstly, the dynamic characteristics of Lyapunov exponent, bifurcation diagram, power spectrum and equilibrium point stability of a class of six-wing chaotic system are analyzed theoretically and simulated numerically. The results show that the system has rich dynamic characteristics. Based on the circuit simulation software Multisim14, the experimental simulation circuit is made. The circuit is simple and easy to implement, which proves the achievability of the proposed chaotic system circuit in circuit principle, and thus verifies the chaotic dynamics capability of the chaotic system. Finally, the DNA algorithm and the new system chaotic sequence are adopted to encrypt the image, and the encrypted histogram, information entropy and the correlation of adjacent pixels are analyzed. The analysis results show that the proposed chaotic system has high security performance when applied to image encryption. © 2024 IEEE.

关键词： Chaotic systems

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User Portrait Construction of Diet Therapy Culture Based on Machine Learning 6

User Portrait Construction of Diet Therapy Culture Based on ...

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6th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2024

作者： Dong, Jie Fan, Siyu Men, Rui School of Electrical and Control Engineering Shenyang Jianzhu University Liaoning Shenyang China School of Computer Science and Engineering Shenyang Jianzhu University Liaoning Shenyang China

ISBN: (纸本)9798350374315

With the development of high-quality economy, modern people are facing various health challenges while their living standards are improving, the risk of disease is rising, and the need for health is urgent and growing. Traditional Chinese medicine food therapy culture is in line with the pursuit of healthy lifestyle in modern society, and is favored by more and more people. In this paper, questionnaires were distributed online and offline for investigation, K-means algorithm was used to cluster and build user portraits, population needs with different individual characteristics were subdivided, and decision tree regression algorithm was used to predict user dietary therapy behavior. The results show that the analysis of dietary therapy users according to the above method is accurate, and the fine division of users is conducive to the characteristic development of dietary therapy culture. © 2024 IEEE.

关键词： Adversarial machine learning

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A Fast Obstacle Detection Method Using a Dual 3D LiDAR 6

A Fast Obstacle Detection Method Using a Dual 3D LiDAR

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6th International Conference on Electronic engineering and Informatics, EEI 2024

作者： Li, Penggang Liu, Guoliang Zhu, Liujuan Li, Dongxuan Wang, Shanmei Tian, Guohui School of Control Science and Engineering Shandong University Jinan China Inspur Intelligent Technology Research Department Jinan China

ISBN: (纸本)9798350353594

Obstacle detection plays a crucial role in unmanned vehicle path planning, demanding heavy computational resources for accurate detection, often challenging real-time requirements. In this study, we introduce a dual LiDAR approach for obstacle detection and propose a drivable space detection algorithm based on multi-spatial feature fusion for sampling and segmentation. Our method enhances the accuracy and efficiency of obstacle point cloud segmentation compared to other ground-based point cloud segmentation algorithms. © 2024 IEEE.

关键词： Obstacle detectors

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Reaction pathways and selectivity in the chemo-catalytic conversion of cellulose and its derivatives to ethylene glycol:A review

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Chinese Journal of Chemical engineering 2024年第2期66卷 310-331页

作者： Yao Li Yuchun Zhang Zhiyu Li Huiyan Zhang Peng Fu College of Agricultural Engineering and Food Science Shandong University of TechnologyZibo 255000China Key Laboratory of Energy Thermal Conversion and Control Ministry of EducationSchool of Energy and EnvironmentSoutheast UniversityNanjing 210096China

Biomass-to-ethylene glycol is an effective means to achieve high-value utilisation of cellulose but is hindered by low conversion efficiency and poor catalyst activity and *** and cellobiose are derivatives of cellulose conversion to ethylene glycol,and it is found that studying the reaction process of both can help to understand the reaction mechanism of *** is desirable to develop a reusable,highly active catalyst to convert cellulose into ethylene *** ideal catalyst might have one or more active sites described the conversion steps ***,we discuss the catalyst development of celluloseto-ethylene glycol,including tungsten,tin,lanthanide,and other transition metal catalysts,and special attention is given to the reaction mechanism and kinetics for preparing ethylene glycol from cellulose,and the economic advantages of biomass-to-ethylene glycol are briefly *** insights given in this review will facilitate further development of efficient catalysts,for addressing the global energy crisis and climate change related to the use of fossil fuels.

关键词： Ethylene glycol Cellulose Catalyst Retro-aldol condensation Hydrolysis Kinetics

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Efficient and selective recovery of Gd(Ⅲ)via polyethyleneimine modification of lanthanum-based metal-organic frameworks

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Journal of Rare Earths 2024年第1期42卷 210-219,I0007页

作者： Wenhao Li Lijinhong Huang Bin Xiao Xiaoguang Duan Haike Li Lang Li Wanfu Huang Ganzhou Key Laboratory of Basin Pollution Simulation and Control Jiangxi University of Science and TechnologyGanzhou341000China Innovation Center for Water Quality Security Technology at Ganjiang River Basin Jiangxi University of Science and TechnologyGanzhou341000China Faculty of Science and Engineering WA School of Mines:MineralsEnergy and Chemical EngineeringCurtin UniversityWAAustralia School of Architecture and Design Jiangxi University of Science and TechnologyGanzhou341000China School of Resources and Architectural Engineering Gannan University of Science and TechnologyGanzhou341000China School of Chemical Engineering and Advanced Materials The University of AdelaideAdelaideSA5005Australia School of Resource and Environmental Engineering Jiangxi University of Science and TechnologyGanzhou341000China

With the development of the economy and the increasing demand for environmental protection,the efficient and selective recovery of Gd(Ⅲ)from actual wastewater is of critical *** this work,lanthanum-based metal-organic framework(LaBDC)materials were prepared by a hydrothermal method,and then polyethyleneimine(PEI)and LaBDC were combined by an impregnation method to form a novel LaBDC@xPEI *** prepared materials were characterized using Fourier transfo rm infrared spectroscopy(FTIR),X-ray diffraction(XRD),scanning electron microscopy(SEM),energy dispersive X-ray spectroscopy(EDX),B runauer-Emmett-Teller(BET),thermogravimetric analysis(TGA)and X-ray photoelectron spectroscopy(XPS).Experiments show that LaBDC@50%PEI has the highest adsorption capacity(181.77 mg/g)among lanthanum-based MOFs with different PEI loadings at pH=5.5,which is about 5.1 times that of bare *** adsorption isotherm analysis shows that LaBDC@50%PEI follows the Langmuir *** addition,the adsorption kinetics of LaBDC@50%PEI follows a pseudo-second-order kinetic model,indicating that the adsorption process is chemical *** is worth noting that LaBDC@50%PEI maintains good adsorption performance and stability after three recycling tests,and exhibits excellent selectivity in cation interference ***,the LaBDC@50%PEI composites possess good stability and hold great promises in rapid recovery of Gd(Ⅲ)from practical aqueous environments.

关键词： Wet-impregnation method Polyethylene imine Metaleorganic frameworks Lanthanum Recovery of Gd(Ⅲ) Rare earths

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Research on Numerical Simulation of the instantaneity of a Mechanical Impact Fuze 4

Research on Numerical Simulation of the instantaneity of a M...

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4th International Conference on Defence Technology, ICDT 2024

作者： Yang, Shanglin Wang, Yabin Luan, Donglin Guo, Pengda School of Mechatronical Engineering Beijing Institute of Technology Beijing China Science and Technology on Electromechanical Dynamic Control Laboratory China

The instantaneity of a fuze refers to the time interval between the projectile's impact on the target and the completion of detonation. This parameter is a critical indicator for evaluating the performance of ammunition. To investigate the factors influencing instantaneity, a numerical simulation was conducted on the process of a projectile striking a target under different conditions, including impact angle, fuze material, and target material. The simulation results, under 12 different conditions, produced acceleration curves and instantaneity for the firing device. Through the analysis of the results, the study establishes key design principles for the firing device of the fuze: the protection design of the ignition device and the selection of the ignition strategy should consider the maximum and minimum impact angles and target hardness. Choosing an ignition device with a low structural strength or a fuze body material with lower hardness and strength can enhance the fuze's instantaneity The target hardness and impact angle greatly affect the fuze's instantaneity of the fuze, and appropriate structural strength should be selected in the design. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Projectiles

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