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6th International Conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2024

作者： Ma, Zijian Lin, Xiangbo School of Information and Communication Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798331541699

This paper proposes an automatic dexterous functional grasping data generation framework for multi-finger robot hands. This work has important benefits for developing effective data driven dexterous grasping methods, because the data scarcity has delayed the relevant research progress currently. Taking the diffusion model as the main architecture, the proposed method leverages the advantages of high generation quality and diversity, designing a controlling condition by integrating the grasp pose and object category. After further candidates selection and point clouds refinement, the generated dataset have been validated through experiments to fulfill the requirements of functionality, diversity, scalability. © 2024 IEEE.

关键词： Robotic arms

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Imaging through scattering layers using a near-infrared low-spatial-coherence fiber random laser

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Chinese Physics B 2024年第10期33卷 226-232页

作者： Anda Shi Zeyu Wang Chenxi Duan Zhao Wang Weili Zhang School of Information and Communication Engineering University of Electronic Science&Technology of ChinaChengdu 611731China Yingcai Honors College University of Electronic Science&Technology of ChinaChengdu 611731China

Optical memory effect-based speckle-correlated technology has been developed for reconstructing hidden objectsfrom disordered speckle patterns,achieving imaging through scattering ***,the lighting efficiency and fieldof view of existing speckle-correlated imaging systems are ***,a near-infrared low spatial coherence fiberrandom laser illumination method is proposed to address the above *** the utilization of random Rayleighscattering within dispersion-shifted fibers to provide feedback,coupled with stimulated Raman scattering for amplification,a near-infrared fiber random laser exhibiting a high spectral density and extremely low spatial coherence is *** on the designed fiber random laser,speckle-correlated imaging through scattering layers is achieved,with highlighting efficiency and a large imaging field of *** work improves the performance of speckle-correlated imagingand enriches the research on imaging through scattering medium.

关键词： fiber random laser speckle-correlated imaging scattering medium spatial coherence

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Low-Profile Multiband Filtering Patch Antenna 13

Low-Profile Multiband Filtering Patch Antenna

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13th IEEE-APS Topical Conference on Antennas and Propagation in Wireless communications, APWC 2024

作者： Lin, Xiujuan Huang, Junhao Liu, Hang Zhou, Changfei Dalian University of Technology School of Information and Communication Engineering Dalian China

ISBN: (纸本)9798350360776

In this paper, a low-profile multi-band filtering patch antenna without any additional filtering circuit is proposed. The proposed antenna consists of three rectangular patches, a pair of differential feeds, and two upper metal strips. By exciting multiple working modes, three working frequency bands, which are 2. 4 - 2. 4 4 GHz, 3.49-3.53 GHz and 4.86-6.37 GHz, are realized. The metal strip above and the slot on the patch introduce four radiation nulls, making it a good filtering antenna. © 2024 IEEE.

关键词： Microwave antennas

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MPGA-YOLOv8: A Leaf Disease Detection Network Combining Multi-Scale Progressive Feature Network and Global Attention

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2025年第2期52卷 436-446页

作者： Xu, Jiacheng Yang, Yonghui Chu, Maoxiang Student of 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

Considering the diversity of natural conditions, including fog, low light, and strong light, as well as the impact of various diseases on leaves, we propose an improved apple leaf disease detection method based on the YOLOv8n model. This method first uses a Multi-Scale Progressive Feature Network(MSPN) as the neck network to integrate multiple morphological lesions and enhance the model’s information integration capability. Then, a Global Self Attention Module (GSAM) is applied at the end of the backbone to help the model capture spatial relationships in the image and reduce interference from extremely complex background conditions. Next, we replace the convolution blocks in the backbone with Receptive Field-Focused Convolution Block (RFFconv) to effectively improve the model’s recognition accuracy through shared receptive field weights. Finally, we add a small object detection layer for small lesions to enhance the model’s generalization performance. Experimental results show that the proposed MPGA-YOLOv8 model effectively detects six types of apple leaf diseases in complex backgrounds, including healthy samples, with an average mAP accuracy of 74.3%. Compared to classic models like SSD, Faster RCNN, YOLOv3 tiny, YOLOv5, and YOLOv6, the mAP performance improves by 20.9%, 38.4%, 9.8%, 10.0%, and 14.3%, respectively. This model enables rapid and accurate detection and recognition of apple leaf diseases, providing viable technical support and solutions for disease prevention and control. © (2025), (International Association of Engineers). All rights reserved.

关键词： Disease control

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Range Ambiguous Clutter Suppression and Moving Target Indication for Side-looking Airborne Radar with Vertical Coherent FDA 16

Range Ambiguous Clutter Suppression and Moving Target Indica...

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16th International Conference on Signal Processing Systems, ICSPS 2024

作者： Lu, Jiahao Zhang, Mengdi Li, Shiyin School of Information and Control Engineering China University of Mining and Technology China

ISBN: (纸本)9781510689251

Under the high pulse repetition frequency (PRF) regime, a serious range ambiguity problem arises in the moving target indication (MTI) radar, leading to a degradation in the performance of traditional space-time adaptive processing (STAP). To address this issue, a range ambiguous clutter suppression and MTI method based on vertical coherent frequency diverse array (FDA) is proposed in this paper. The space-frequency coupling characteristic of vertical coherent FDA is revealed, and a series of two-dimensional (2-D) matched filters are designed to separate range ambiguous clutter and resolve the range ambiguity of targets. After matched filtering, clutter in the desired range region may be contaminated by sidelobes or even mainlobes of clutter from other range regions. To eliminate residual clutter, the azimuth phase coding (APC) technique is applied to induce different Doppler frequency shifts for different range regions. Subsequently, the residual clutter can be eliminated through orthogonal subspace projection (OSP) technique. However, APC also induces a Doppler shift to the target, affecting the accurate acquisition of target information. To this end, Doppler compensation is applied to the echo after the elimination of residual clutter. Finally, traditional STAP is performed on the echoes corresponding to different range regions. Additionally, due to the use of coherent waveforms, it prevents unreal orthogonal waveform assumption in multi-input multi-output (MIMO) framework. Simulation results are provided to validate the effectiveness of the proposed method, demonstrating its capability to enhance the performance of MTI radar under high PRF conditions. © 2025 SPIE.

关键词： Space time adaptive processing

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Enhancing the Pattern Roundness for Handset Antennas using Reactive Loads

Enhancing the Pattern Roundness for Handset Antennas using R...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Zheng, Wenrui Li, Hui Dalian University of Technology School of Information and Communication Engineering Dalian China

ISBN: (纸本)9798350355581

In this paper, an efficient and systematic design method for enhancing the pattern roundness of the handset antenna is proposed, providing more reliable links for terminal communications. Based on the platform of the handset antenna, an N-port network is constructed on the top part of the handset using discrete ports. Full-wave simulations are then carried out to obtain the impedance matrix and the single-port-excited patterns. Based on the impedance matrix, pattern synthesis is formulated as a multi-objective optimization problem and solved using the algorithm of NSGA-II. A WLAN antenna on the metallic-frame based handset is designed, with remarkable improvement in pattern roundness using only two lumped components. Specifically, the in-band gain of the proposed antenna is reduced by about 1.5 dB compared with the reference monopole antenna. More importantly, the original deep nulls are reduced, improving the SNR at many directions. The optimized handset antenna was fabricated and measured, with the measured results agreeing well with the simulated ones. © 2024 IEEE.

关键词： Multiobjective optimization

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Coalitional game based resource allocation in D2D-enabled V2V communication

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Journal of Systems engineering and Electronics 2023年第6期34卷 1508-1519页

作者： MA Piming ZHAO Peng BAI Zhiquan DONG Xu YANG Xinghai KWAK Kyungsup Shandong Provincial Key Lab of Wireless Communication Technologies School of Information Science and EngineeringShandong UniversityQingdao 266237China School of Information Science and Technology Qingdao University of Science and TechnologyQingdao 266100China Graduate School of Information Technology and Telecommunications Inha UniversityIncheon 22212Korea

The joint resource block(RB)allocation and power optimization problem is studied to maximize the sum-rate of the vehicle-to-vehicle(V2V)links in the device-to-device(D2D)-enabled V2V communication system,where one feasible cellular user(FCU)can share its RB with multiple V2V *** problem is first formulated as a nonconvex mixed-integer nonlinear programming(MINLP)problem with constraint of the maximum interference power in the FCU *** the game theory,two coalition formation algorithms are proposed to accomplish V2V link partitioning and FCU selection,where the transferable utility functions are introduced to minimize the interference among the V2V links and the FCU links for the optimal RB *** successive convex approximation(SCA)is used to transform the original problem into a convex one and the Lagrangian dual method is further applied to obtain the optimal transmit power of the V2V ***,numerical results demonstrate the efficiency of the proposed resource allocation algorithm in terms of the system sum-rate.

关键词： coalitional game vehicle-to-vehicle(V2V)communication successive convex approximation(SCA) resource block(RB)allocation power allocation.

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Enhanced UAV Pursuit-Evasion Using Boids Modelling:A Synergistic Integration of Bird Swarm Intelligence and DRL

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Computers, Materials & Continua 2024年第9期80卷 3523-3553页

作者： Weiqiang Jin Xingwu Tian Bohang Shi Biao Zhao Haibin Duan Hao Wu School of Information and Communications Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an710049China China Academy of Electronics and Information Technology China Electronics Technology Group Corporation(CETC)Beijing100041China Department ofAutomatic Control School of Automation Science and Electrical EngineeringBeihangUniversityBeijing100191China

TheUAV pursuit-evasion problem focuses on the efficient tracking and capture of evading targets using unmanned aerial vehicles(UAVs),which is pivotal in public safety applications,particularly in scenarios involving intrusion monitoring and *** address the challenges of data acquisition,real-world deployment,and the limited intelligence of existing algorithms in UAV pursuit-evasion tasks,we propose an innovative swarm intelligencebased UAV pursuit-evasion control framework,namely“Boids Model-based DRL Approach for Pursuit and Escape”(Boids-PE),which synergizes the strengths of swarm intelligence from bio-inspired algorithms and deep reinforcement learning(DRL).The Boids model,which simulates collective behavior through three fundamental rules,separation,alignment,and cohesion,is adopted in our *** integrating Boids model with the Apollonian Circles algorithm,significant improvements are achieved in capturing UAVs against simple evasion *** further enhance decision-making precision,we incorporate a DRL algorithm to facilitate more accurate strategic *** also leverage self-play training to continuously optimize the performance of pursuit *** experimental evaluation,we meticulously designed both one-on-one and multi-to-one pursuit-evasion scenarios,customizing the state space,action space,and reward function models for each *** simulations,supported by the PyBullet physics engine,validate the effectiveness of our proposed *** overall results demonstrate that Boids-PE significantly enhance the efficiency and reliability of UAV pursuit-evasion tasks,providing a practical and robust solution for the real-world application of UAV pursuit-evasion missions.

关键词： UAV pursuit-evasion swarm intelligence algorithm Boids model deep reinforcement learning self-play training

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Fractional core-based collapse mechanism and structural optimization in complex systems

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Science China(information Sciences) 2023年第9期66卷 168-183页

作者： Shubin SI Changchun LV Zhiqiang CAI Dongli DUAN Jurgen KURTHS Zhen WANG School of Mechanical Engineering Northwestern Polytechnical University Key Laboratory of Industrial Engineering and Intelligent Manufacturing(Ministry of Industry and Information Technology) School of Information and Control Engineering Xi'an University of Architecture and Technology Instiute of Physics Humboldt-University Potsdam Institute for Climate Impact Research

Catastrophic and major disasters in real-world systems ranging from financial markets and ecosystems, often show generic early-warning signals that may indicate a collapse. Hence, understanding the collapse mechanism of a complex network and predicting its process are of uttermost importance. However, these challenges are often hindered by the extremely high dimensionality of the underlying *** present here the concept of the fractional core(F-core) that considers the contribution of the network topology and dynamics to systematically analyze the collapse process in such networks, and encompass a broad range of dynamical systems, from mutualistic ecosystems to regulatory dynamics. We offer testable predictions on the tipping point, and, in particular, prove that the extinction of the maximum F-core of a network is an efficient indicator of whether a system completely collapses. The results show that the death of species or cells in a low-order F-core may improve the average density and have little influence on the tipping point. Generally, the principle of the F-core demonstrates how complex systems collapse and opens an innovative optimization strategy to uncover the optimal structure of systems.

关键词： collapse mechanism tipping point structural optimization complex systems phase transition

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A Parametric Non-Negative Coupled Canonical Polyadic Decomposition Algorithm for Hyperspectral Super-Resolution

A Parametric Non-Negative Coupled Canonical Polyadic Decompo...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Liu, Xi-Yuan Gong, Xiao-Feng Wang, Lei Feng, Wei Lin, Qiu-Hua School of Information and Communication Engineering Dalian University of Technology China

ISBN: (纸本)9798350368741

Recently, coupled tensor decomposition has been widely used in data fusion of a hyperspectral image (HSI) and a multispectral image (MSI) for hyperspectral super-resolution (HSR). However, exsiting works often ignore the inherent non-negative (NN) property of the image data, or impose the NN constraint via hard-thresholding which may interfere with the optimization procedure and cause the method to be sub-optimal. As such, we propose a novel NN coupled canonical polyadic decomposition (NN-C-CPD) algorithm, which makes use of the parametric method and nonlinear least squares (NLS) framework to impose the NN constraint into the C-CPD computation. More exactly, the NN constraint is converted into the squared relationship between the NN entries of the factor matrices and a set of latent parameters. Based on the chain rule for deriving the derivatives, the key entities such as gradient and Jacobian with regards to the latent parameters can be derived, thus the NN constraint is naturally integrated without interfering with the optimization procedure. Experimental results are provided to demonstrate the performance of the proposed NN-C-CPD algorithm in HSR applications. © 2025 IEEE.

关键词： Coupled canonical polyadic decomposition hyperspectral super-resolution non-negative tensor

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