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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

From animal collective behaviors to swarm robotic cooperation

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National Science Review 2023年第5期10卷 82-99页

作者： Haibin Duan Mengzhen Huo yanming fan State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang University Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng Laboratory AVIC Shenyang Aircraft Design and Research Institute

The collective behaviors of animals,from schooling fish to packing wolves and flocking birds,display plenty of fascinating phenomena that result from simple interaction rules among *** emergent intelligent properties of the animal collective behaviors,such as self-organization,robustness,adaptability and expansibility,have inspired the design of autonomous unmanned swarm *** article reviews several typical natural collective behaviors,introduces the origin and connotation of swarm intelligence,and gives the application case of animal collective *** this basis,the article focuses on the forefront of progress and bionic achievements of aerial,ground and marine robotics swarms,illustrating the mapping relationship from biological cooperative mechanisms to cooperative unmanned cluster ***,considering the significance of the coexisting-cooperative-cognitive human-machine system,the key technologies to be solved are given as the reference directions for the subsequent exploration.

关键词： collective behaviors swarm intelligence cooperative robotics swarm human-machine system

Vision algorithms for fixed-wing unmanned aerial vehicle landing system

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Science China(Technological Sciences) 2017年第3期60卷 434-443页

作者： fan yanming DING Meng CAO YunFeng Shenyang Aircraft Design & Research Institute Aviation lndustry Corporation of China Shenyang 110035 China College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing 211106 China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Autonomous landing has become a core technology of unmanned aerial vehicle（UAV）guidance,navigation and control system

关键词： vision-based landing spectral residual sparse coding position and pose estimation orthogonal iteration

Multi-objective clustering analysis via combinatorial pigeon inspired optimization

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Science China(Technological Sciences) 2020年第7期63卷 1302-1313页

作者： CHEN Lin DUAN HaiBin fan yanming WEI Chen Bio-inspired Autonomous Flight Systems Research Group School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China Peng Cheng Laboratory Shenzhen 518000China Shenyang Aircraft Design and Research Institute Aviation Industry Corporation of China(AV1C)Shenyang 110035China

Multi-objective data clustering is an important issue in data mining, and the realization of data clustering using the multiobjective optimization technique is a significant topic. A combinatorial multi-objective pigeon inspired optimization(CMOPIO)with ring topology is proposed to solve the clustering problem in this paper. In the CMOPIO, a delta-locus based coding approach is employed to encode the pigeons. Thus, the length of pigeon representation and the dimension of the search space are significantly reduced. Thereby, the computational load can be effectively depressed. In this way, the pigeon inspired optimization(PIO) algorithm can be discretized with an auxiliary vector to address data clustering. Moreover, an index-based ring topology with the ability of contributing to maintain flock diversity is adopted to improve the CMOPIO performance. Comparative simulation results demonstrate the feasibility and effectiveness of our proposed CMOPIO for solving data clustering problems.

关键词： multi-objective data clustering combinatorial multi-objective pigeon inspired optimization delta-locus based coding pigeon representation

Optimization of projective transformation matrix in image stitching based on chaotic genetic algorithm

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International Journal of Intelligent Computing and Cybernetics 2013年第4期6卷 386-404页

作者： yanming fan Ming Li Shenyang Aircraft Design and Research Institute ShenyangChina

Purpose–The purpose of this paper is to present weighted Euclidean distance for measuring whether the fitting of projective transformation matrix is more reliable in feature-based image ***/methodology/approach–The hybrid model of weighted Euclidean distance criterion and intelligent chaotic genetic algorithm(CGA)is established to achieve a more accurate matrix in image ***-based image stitching is used in this paper for it can handle non-affine *** invariant feature transform is applied to extract the key points,and the false points are excluded using random sampling consistency(RANSAC)***–This work improved GA by combination with chaos’s ergodicity,so that it can be applied to search a better solution on the basis of the matrix solved by *** addition of an external loop in RANSAC can help obtain more accurate matrix with large *** of experimental results are presented to demonstrate the feasibility and effectiveness of the proposed *** implications–The modified feature-based method proposed in this paper can be easily applied to practice and can obtain a better image stitching performance with a good ***/value–A hybrid model of weighted Euclidean distance criterion and CGA is proposed for optimization of projective transformation matrix in image *** authors introduce chaos theory into GA to modify its search strategy.

关键词： Genetic algorithms Image processing

Density Functional Theory Study of Oxygen Atom Adsorption on Different Surfaces of Pyrite

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Journal of Wuhan University of Technology(Materials Science) 2017年第6期32卷 1464-1469页

作者：黄腾雷绍民 JI Mengjiao LIU Yuanyuan fan yanming School of Resource and Environment Engineering Wuhan University of Technology Wuhan 430070 China Yichang Huilong Science and Technology Co. Ltd. Yichang 4430041 China

We discussed the oxidation differential and mechanisms on different planes of pyrite. The experimental results show that the oxidation priority is：（222） plane〉（200） plane〉（200） plane, and there is no direct correlation between the crystal plane index, the atom numbers, and the oxidation priority. However, with more exchanged charge among atoms, the oxidation could be conducted more easily, and the distribution rule of the electric charge conforms with the variation trend of adsorption energy, which will provide more overall cognition on the oxidation mechanism of pyrite from the atomic scale.

关键词： DFT pyrite adsorption energy chai e analysis state density

Pigeon-Inspired Circular Formation Control for Multi-UAV System with Limited Target Information

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Guidance, Navigation and Control 2021年第1期1卷 68-90页

作者： Mengzhen Huo Haibin Duan yanming fan Bio-inspired Autonomous Flight Systems Research Group School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083P.R.China Shenyang Aircraft Design and Research Institute Aviation Industry Corporation of ChinaShenyangLiaoning 110035P.R.China

The problem of cooperative circular formation with limited target information for multiple Unmanned Aerial Vehicle(UAV)system is addressed in this paper.A pigeon-inspired circular formation control method is proposed to form the desired circular distribution in a plane based on the intelligent pigeon behavior during *** reach the goal of prescribed radius and angular distribution,the controller is designed consisting of a circular movement part and a formation distribution ***,the circular movement part is designed to make each UAV rotate around the speci-ed circle at the same angular speed only using the relative position between the UAV and the *** formation distribution part could adjust the angular distance between each UAV and its neighbors with the jointly connected network to reduce communication *** smooth the speed variation,nonlinear PID-type method is delivered throughout the evolution of the *** convergence analysis of the proposed control protocol is presented using Lyapunov theory and graph *** e®ectiveness of the proposed control strategies is demonstrated through numerical simulations.

关键词： Unmanned Aerial Vehicle(UAV)system circular formation intelligent pigeon behavior limited target information

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无人机的自主与智能控制

中国科学：技术科学 2017年第3期47卷 221-229页

作者：范彦铭中国航空工业集团公司沈阳飞机设计研究所沈阳110035

分析研究了无人机的本质与内涵,系统阐述了无人机自主与智能控制的内涵与本质以及二者的关系,提出了无人机自主控制的设计理念和工程实施要素,合理规划了自主智能控制的等级,提出了无人机自主智能控制实现的工程方法与方案,构建了自主... 详细信息

分析研究了无人机的本质与内涵,系统阐述了无人机自主与智能控制的内涵与本质以及二者的关系,提出了无人机自主控制的设计理念和工程实施要素,合理规划了自主智能控制的等级,提出了无人机自主智能控制实现的工程方法与方案,构建了自主智能控制系统工程实现的架构.

关键词：无人机自主控制智能控制分布式结构

Cloning and Functional Analysis of Porcine Cycling A

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Journal of Animal Science and Biotechnology 2011年第1期2卷 1-8页

作者： Li fan Qinghai Tang yanming Zhang Wei Liu Gang Tong College of Veterinary Medicine Northwest A ＆ F University Yangling Shanxi 712100 China

Cyclin A is a key regulator of the cell cycle. Its expression may become disrupted in virusinfected cells, leading to deregulation of the cell cycle and increased cell proliferation. Here, we cloned the porcine cyclin A gene and verified its functionality in swine umbilicus vein endothelial cells （SUVEC）. The human cyclin A gene was used to probe databases to clone the pig cyclin A gene electronically. The identified porcine cDNA contained an open reading frame of 1,299 bp, encoding 432 amino acids, the same length as the human cyclin A protein. The porcine cyclin A gene comprises eight exons on chromosome 8. The sequence of the in silico clone and expression of this novel gene were confirmed in SUVEC by reverse transcription PCR. Western blotting of cell lysates from SUVEC transfected with a cyclin A enhanced green fluorescent protein （EGFP） fusion construct revealed a band at approximately 40 kDa. Confocal microscopy of CycA-EGFP-expressing cells showed that the fusion protein was expressed in the nucleus. Flow cytometry demonstrated that more stably expressing SUVEC-CycA-EGFP were in G1 phase （15% to 20% increase） and fewer were in S phase （18% decrease） compared with control ceils. MTS assays showed that the proliferative activity of SUVEC-Cy- cAG-EGFP was significantly higher than that of the control cells. In conclusion, we have cloned the pig cyclin A gene and demonstrated that its biological function is consistent with cyclin A in other mammali- an species. This provides a foundation for future research on the impact of virus infection on cyclin A.

关键词： cell cycle cyclin A live cell imaging MTS assay swine umbilicus vein endothelial cell

基于传递熵和有效信息存储的隐鹮信息传递过程研究

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中国科学：技术科学 2020年第4期50卷 380-388页

作者：陈琳段海滨范彦铭北京航空航天大学自动化科学与电气工程学院仿生自主飞行系统研究组北京100083 鹏城实验室深圳518055 中国航空工业集团公司沈阳飞机设计研究所沈阳110035

作为以线性编队进行迁徙的鸟类,隐鹮编队飞行时个体间领航-跟随关系频繁的互换可延长群体飞行时间.为分析隐鹮群体内部隐含的协调合作机理,本文基于信息论理论检测和量化集体迁徙的隐鹮群体中个体层面的信息传递动态.首先采用局部传递... 详细信息

作为以线性编队进行迁徙的鸟类,隐鹮编队飞行时个体间领航-跟随关系频繁的互换可延长群体飞行时间.为分析隐鹮群体内部隐含的协调合作机理,本文基于信息论理论检测和量化集体迁徙的隐鹮群体中个体层面的信息传递动态.首先采用局部传递熵来量化隐鹮迁徙过程中在空间和时间上的局部动态信息传递过程,分析隐鹮个体间信息传递的规则,理解隐鹮个体如何通过信息传递影响群体决策,实现一致的群体运动状态.然后采用局部有效信息存储来表征隐鹮的群体记忆,通过计算隐鹮过去状态序列与下一时刻状态之间的互信息,得到群体行为一致性与群体记忆的关系.最后根据隐鹮的动态信息传递以及群体记忆与群体行为一致性之间的关系,得到隐鹮转向过程中群体行为的激发以及汇聚模式与熵值的变化间的关系.

关键词：局部传递熵隐鹮信息传递局部有效信息存储群体记忆