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A Feature Selection Method Based on Hybrid Dung Beetle Optimization Algorithm and Slap Swarm Algorithm

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Computers, Materials & Continua 2024年第8期80卷 2979-3000页

作者： Wei Liu Tengteng Ren school of Information Science and engineering Shenyang Ligong UniversityShenyang110158China

Feature Selection(FS)is a key pre-processing step in pattern recognition and data mining tasks,which can effectively avoid the impact of irrelevant and redundant features on the performance of classification *** recent years,meta-heuristic algorithms have been widely used in FS problems,so a Hybrid Binary Chaotic Salp Swarm Dung Beetle Optimization(HBCSSDBO)algorithm is proposed in this paper to improve the effect of *** this hybrid algorithm,the original continuous optimization algorithm is converted into binary form by the S-type transfer function and applied to the FS *** combining the K nearest neighbor(KNN)classifier,the comparative experiments for FS are carried out between the proposed method and four advanced meta-heuristic algorithms on 16 UCI(university of California,Irvine)*** evaluation metrics such as average adaptation,average prediction accuracy,and average running time are chosen to judge and compare the *** selected dataset is also discussed by categorizing it into three dimensions:high,medium,and low *** results show that the HBCSSDBO feature selection method has the ability to obtain a good subset of features while maintaining high classification accuracy,shows better optimization *** addition,the results of statistical tests confirm the significant validity of the method.

关键词： Feature selection dung beetle optimization KNN transfer function HBCSSDBO

Research on modeling and self-excited vibration mechanism in magnetic levitation-collision interface coupling system

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Applied Mathematics and Mechanics(English Edition) 2024年第5期45卷 873-890页

作者： Jinghu TANG Chaofeng LI Jin ZHOU Zhiwei WU school of Mechanical engineering&automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion Systems of Ministry of Education of China Northeastern UniversityShenyang 110819China school of Mechanical and electrical engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

The modeling and self-excited vibration mechanism in the magnetic levitation-collision interface coupling system are *** effects of the control and interface parameters on the system's stability are *** frequency range of self-excited vibrations is investigated from the energy point of *** phenomenon of self-excited vibrations is elaborated with the phase *** corresponding control strategies are briefly analyzed with respect to the vibration *** results show that when the levitation objects collide with the mechanical interface,the system's vibration frequency becomes larger with the decrease in the collision gap;when the vibration frequency exceeds the critical frequency,the electromagnetic system continues to provide energy to the system,and the collision interface continuously dissipates energy so that the system enters the self-excited vibration state.

关键词： magnetic levitation coupling system self-excited vibration mechanical interface vibration frequency

New Results in Cooperative Adaptive Optimal Output Regulation

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Journal of Systems Science & Complexity 2024年第1期37卷 253-272页

作者： DONG Yuchen GAO Weinan JIANG Zhong-Ping State Key Laboratory of Synthetical automation for Process Industries Northeastern UniversityShenyang 110819China Department of electrical and Computer engineering Tandon School of EngineeringNew York UniversityBrooklynNY 11201USA

This paper investigates the cooperative adaptive optimal output regulation problem of continuous-time linear multi-agent *** the multi-agent system dynamics are uncertain,solving regulator equations and the corresponding algebraic Riccati equations is challenging,especially for high-order *** this paper,a novel method is proposed to approximate the solution of regulator equations,i.e.,gradient descent *** is worth noting that this method obtains gradients through online data rather than model information.A data-driven distributed adaptive suboptimal controller is developed by adaptive dynamic programming,so that each follower can achieve asymptotic tracking and disturbance ***,the effectiveness of the proposed control method is validated by simulations.

关键词： Adaptive dynamic programming cooperative output regulation gradient descent method multi-agent systems.

Unidirectional movement behavior of underwater bubbles on the wettability gradient mesh via asymmetrical bounce

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Science China Chemistry 2024年第8期67卷 2606-2613页

作者： Yuzhen Ning Zhihong Zhao Shuang Ben Qiang Li Cunming Yu Xudong Zhang Huawei Chen Kesong Liu Lei Jiang school of Mechanical engineering and automation Beihang UniversityBeijing 100191China Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology School of ChemistryBeihang UniversityBeijing 100191China Research Institute of Aero-Engine Beihang UniversityBeijing 100191China school of Materials Science and engineering Shenyang Ligong UniversityShenyang 110159China Tianmushan Laboratory Hangzhou 310023China The Analysis Testing CenterBeihang UniversityBeijing 100191China

The impact of underwater bubbles on solid surfaces with a gradient wettability is important for fundamental science and technological applications. Despite progress in the translational motion of underwater bubbles on asymmetric surface, a fundamental dynamic understanding of asymmetrical bounce behavior of the underwater bubble needs to be further ***, we investigate asymmetrical bounce of underwater bubbles after impacting the wettability gradient copper mesh *** bounce of the underwater bubble on the wettability gradient mesh(WGM) surface is composed by asymmetrical spread in the spread process and asymmetrical recoil in the recoil process, which induce the unidirectional movement ***, effective bubble-size manipulation can be easily implemented due to different volumes of bubbles remaining at different locations of WGM surface. We envision that this work will provide a new understanding of asymmetrical bounce behavior of the underwater bubble on the wettability gradient surface, and propose a novel and feasible strategy for constructing the underwater bubble manipulation system.

关键词： asymmetrical bounce unidirectional movement behavior gradient wettability

Endoscopy-assisted lightweight diagnosis system based on transformers for colon polyp detection

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Optoelectronics Letters 2024年

作者： FAN Weiming YU Jiahui JU Zhaojie school of automation and electrical engineering， shenyang ligong university Department of Biomedical engineering， Zhejiang university school of computing， university of Portsmouth

The integration of endoscopy has significantly propelled the diagnosis and treatment of gastrointestinal diseases， with colonoscopy establishing itself as the primary method for early diagnosis and preventive care in colorectal cancer. Although deep learning holds promise in mitigating missed polyp rates， modern endoscopy examinations pose additional challenges， such as image blurring and atomizing. This study explores lightweight yet powerful attention mechanisms， introducing the Spatial-Channel Transformer—an innovative approach that leverages spatial channel relationships for attention weight calculation. The method utilizes rotation operations for inter-dimensional dependencies， followed by residual transformation， encoding inter-channel and spatial information with minimal computational overhead. Extensive experiments on the CVC-ClinicDB polyp detection dataset， addressing endoscopy pitfalls， underscore the superiority of our Spatial-Channel Transformer over other state-of-the-art methods. The proposed model maintains high performance， even in challenging scenarios.

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Robust facial expression recognition via lightweight reinforcement learning for rehabilitation robotics

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Optoelectronics Letters 2024年

作者： CHEN Yifan FAN Weiming GAO Hongwei YU Jiahui JU Zhaojie school of Computing， university of Portsmouth school of automation and electrical engineering， shenyang ligong university Department of Biomedical engineering Zhejiang Univeristy

The Facial Expression Recognition (FER) capability could endow machines with a more accurate evaluation of rehabilitation robots， making rehabilitation robots’ experience more harmonious and credible. How to obtain robust facial expression representation features has yet to be fully explored. Moreover， the convolutional networks often used in facial expression recognition usually have many parameters， which is not conducive to the online diagnosis of rehabilitation robots. Therefore， this paper proposes a Lightweight Reinforcement Network (LRN) and Auxiliary Label Distribution Learning (ALDL) based robust FER method. Our designed representation reinforcement network mainly comprises two modules， i.e.， the Representation Reinforcement (RR) module and the Auxiliary Label Space Construction (ALSC) module. RR module highlights key feature messaging nodes in feature maps， and ALSC allows multiple labels with different intensities to be linked to one expression. Therefore， LRN has a more robust feature extraction capability when model parameters are greatly reduced， and ALDL is proposed to contribute to the training effect of LRN in the condition of ambiguous training data. We tested our method on FER-Plus， and RAF-DB data sets， and the experiment demonstrates the feasibility of our method in practice during rehabilitation robots.

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Illumination Adaptive Identification Algorithm of a Reconfigurable Modular Robot

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Instrumentation 2024年第1期11卷 79-87页

作者： Fangyi Xing Cheng Xu Yanming Wu Hongwei Gao school of automation and electrical engineering Shenyang Ligong UniversityShenyang 110158 State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016 school of Instrument Science and engineering Southeast UniversityNanjing 210096 school of automation Shenyang Aerospace UniversityShenyang 110135

Reconfigurable modular robots feature high mobility due to their unconstrained connection *** by the snake multi-joint crawling principle,a chain-type reconfigurable modular robot(CRMR)is designed,which could reassemble into various configurations through the compound joint ***,an illumination adaptive modular robot identification(IAMRI)algorithm is proposed for *** first,an adaptive threshold is applied to detect oriented FAST features in the robot ***,the effective detection of features in non-uniform illumination areas is achieved through an optimized quadtree decomposition *** matching features,an improved random sample consensus algorithm is employed to eliminate the mismatched ***,the reconfigurable robot module is identified effectively through the perspective *** with ORB,MA,Y-ORB,and S-ORB algorithms,the IAMRI algorithm has an improvement of over 11.6%in feature uniformity,and 13.7%in the comprehensive indicator,*** IAMRI algorithm limits the relative error within 2.5 pixels,efficiently completing the CRMR identification under complex environmental changes.

关键词： reconfigurable modular robot visual identification feature detection feature matching

Drogue detection for autonomous aerial refueling via hybrid pigeon-inspired optimized color opponent and saliency aggregation

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Chinese Journal of Aeronautics 2024年第5期37卷 27-38页

作者： Tongyan WU Haibin DUAN Yanming FAN State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China AVIC shenyang Aircraft Design and Research Institute Shenyang 110035China

Drogue detection is one of the challenging tasks in autonomous aerial refueling due to the requirement for accuracy and *** detection based on image intrinsic cues can achieve fast detection,but with poor *** studies reveal that optimization-based methods provide accurate and quick solutions for saliency *** paper presents a hybrid pigeon-inspired optimization method,the optimized color opponent,that aims to adjust the weight of color opponent channels to detect the drogue *** can optimize the weights in the selected aerial refueling scene offline,and the results are applied for drogue detection in the scene.A novel algorithm aggregated by the optimized color opponent and robust background detection is presented to provide better precision and *** results on benchmark datasets and aerial refueling images show that the proposed method successfully extracts the saliency region or drogue and exhibits superior performance against the other saliency detection methods with intrinsic *** algorithm designed in this paper is competent for the drogue detection task of autonomous aerial refueling.

关键词： Autonomous aerial refueling Drones Hybrid pigeon-inspired optimization Color opponent Saliency detection Saliency aggregation

Effect of anode area on the sensing mechanism of vertical GaN Schottky barrier diode temperature sensor

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Chinese Physics B 2022年第4期31卷 672-675页

作者： Ji-Yao Du Xiao-Bo Li Tao-Fei Pu Jin-Ping Ao school of automation and electrical engineering Shenyang Ligong UniversityShenyang 110159China Institute of Technology and Science Tokushima UniversityTokushimaJapan

Effect of anode area on temperature sensing ability is investigated for a vertical GaN Schottky-barrier-diode *** current-voltage-temperature characteristics are comparable to each other for Schottky barrier diodes with different anode areas,excepting the series *** the sub-threshold region,the contribution of series resistance on the sensitivity can be ignored due to the relatively small *** sensitivity is dominated by the current density.A large anode area is helpful for enhancing the sensitivity at the same current *** the fully turn-on region,the contribution of series resistance dominates the ***,a large series resistance degrades the temperature error and linearity,implying that a larger anode area will help to decrease the series resistance and to improve the sensing ability.

关键词： GaN temperature sensor Schottky contact vertical diode