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APFA:Ameliorated Pathfinder Algorithm for Engineering Applications

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Journal of Bionic Engineering 2024年第3期21卷 1592-1616页

作者： Keyu Zhong Fen Xiao Xieping gao Key Laboratory of Computing and Stochastic Mathematics of Ministry of Education Hunan Normal UniversityChangsha410081China School of Mathematics and Statistics Hunan Normal UniversityChangsha410081China School of Computer Science Xiangtan UniversityXiangtan411105China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal UniversityChangsha410081China

Pathfinder algorithm(PFA)is a swarm intelligent optimization algorithm inspired by the collective activity behavior of swarm animals,imitating the leader in the population to guide followers in finding the best food *** algorithm has the characteristics of a simple structure and high ***,PFA faces challenges such as insufficient population diversity and susceptibility to local optima due to its inability to effectively balance the exploration and exploitation *** paper proposes an Ameliorated Pathfinder Algorithm called APFA to solve complex engineering optimization ***,a guidance mechanism based on multiple elite individuals is presented to enhance the global search capability of the ***,to improve the exploration efficiency of the algorithm,the Logistic chaos mapping is introduced to help the algorithm find more high-quality potential solutions while avoiding the worst ***,a comprehensive following strategy is designed to avoid the algorithm falling into local optima and further improve the convergence *** three strategies achieve an effective balance between exploration and exploitation overall,thus improving the optimization performance of the *** performance evaluation,APFA is validated by the CEC2022 benchmark test set and five engineering optimization problems,and compared with the state-of-the-art metaheuristic *** numerical experimental results demonstrated the superiority of APFA.

关键词： Pathfinder algorithm Swarm intelligent Metaheuristic Engineering problems

An Efficient Multi-objective Approach Based on Golden Jackal Search for Dynamic Economic Emission Dispatch

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Journal of Bionic Engineering 2024年第3期21卷 1541-1566页

Dynamic Economic Emission Dispatch(DEED)aims to optimize control over fuel cost and pollution emission,two conflicting objectives,by scheduling the output power of various units at specific *** many methods well-performed on the DEED problem,most of them fail to achieve expected results in practice due to a lack of effective trade-off mechanisms between the convergence and diversity of non-dominated optimal dispatching *** address this issue,a new multi-objective solver called Multi-Objective Golden Jackal Optimization(MOGJO)algorithm is proposed to cope with the DEED *** proposed algorithm first stores non-dominated optimal solutions found so far into an ***,it chooses the best dispatching solution from the archive as the leader through a selection mechanism designed based on elite selection strategy and Euclidean distance index *** mechanism can guide the algorithm to search for better dispatching solutions in the direction of reducing fuel costs and pollutant ***,the basic golden jackal optimization algorithm has the drawback of insufficient search,which hinders its ability to effectively discover more Pareto *** this end,a non-linear control parameter based on the cosine function is introduced to enhance global exploration of the dispatching space,thus improving the efficiency of finding the optimal dispatching *** proposed MOGJO is evaluated on the latest CEC benchmark test functions,and its superiority over the state-of-the-art multi-objective optimizers is highlighted by performance ***,empirical results on 5-unit,10-unit,IEEE 30-bus,and 30-unit systems show that the MOGJO can provide competitive compromise scheduling solutions compared to published DEED ***,in the analysis of the Pareto dominance relationship and the Euclidean distance index,the optimal dispatching solutions provided by MOGJO are the closest to the ideal solutions for minimizing fuel costs

关键词： Dynamic economic emission dispatch Multi-objective optimization Golden jackal Euclidean distance index

Progress on the application of graphene-based composites toward energetic materials:A review

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Defence Technology（防务技术） 2024年第1期31卷 95-116页

作者： Ting Zhang Xiaoming gao Jiachen Li Libai Xiao Hongxu gao Fengqi Zhao Haixia Ma College of Chemistry&Chemical Engineering Yan'an UniversityYan'an 716000ShaanxiPR China School of Chemical Engineering Northwest UniversityXi'an 710069ShaanxiPR China Xi'an Modern Chemistry Research Institute Xi'an 710065ShaanxiPR China

Carbon material is an important additive in energetic *** is a monolayer carbon material in which carbon atoms are arranged in two-dimensional honeycomb structure,who has special optical,electrical,and mechanical ***,the application of graphene-based composites in energetic materials has received extensive *** review mainly summarizes the applications of graphene and graphene-based nanomaterials in energetic *** effects of these materials on the thermal stability,sensitivity,mechanical property,ignition and combustion of energetic materials were ***,the progress of functionalized modification of graphene has been summarized,including covalent bonding modification and doping *** studies show that graphenebased materials exhibit excellent performances and might emerge as promising candidate for energetic materials.

关键词： Graphene Desensitization Thermal decomposition Catalytic combustion Energetic materials

Review of Collocation Methods and Applications in Solving Science and Engineering Problems

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 41-76页

作者： Weiwu Jiang Xiaowei gao School of Aeronautics and Astronautics Dalian University of TechnologyDalian116024China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of TechnologyDalian116024China

The collocation method is a widely used numerical method for science and engineering problems governed by partial differential *** paper provides a comprehensive review of collocation methods and their applications,focused on elasticity,heat conduction,electromagnetic field analysis,and fluid *** merits of the collocation method can be attributed to the need for element mesh,simple implementation,high computational efficiency,and ease in handling irregular domain problems since the collocation method is a type of node-based numerical *** with the fundamental principles of the collocation method,the discretization process in the continuous domain is elucidated,and how the collocation method approximation solutions for solving differential equations are *** into the historical development of the collocation methods,their earliest applications and key milestones are traced,thereby demonstrating their evolution within the realm of numerical *** mathematical foundations of collocation methods,encompassing the selection of interpolation functions,definition of weighting functions,and derivation of integration rules,are examined in detail,emphasizing their significance in comprehending the method’s effectiveness and *** last,the practical application of the collocation methods in engineering contexts is emphasized,including heat conduction simulations,electromagnetic coupled field analysis,and fluid dynamics *** specific case studies can underscore collocation method’s broad applicability and effectiveness in addressing complex engineering *** conclusion,this paper puts forward the future development trend of the collocation method through rigorous analysis and discussion,thereby facilitating further advancements in research and practical applications within these fields.

关键词： Collocation method meshless method discrete schemes for functions numerical calculation

基于Fine Mask RCNN的110~220kV输电铁塔涉鸟故障识别与评估

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电网技术 2022年第6期46卷 2132-2140页

作者：张烨高玉菡黄新波李京昭李博涛孙苏珍西安工程大学电子信息学院陕西省西安市710048 国网陕西电力汉中供电公司陕西省汉中市723000

随机突发的输电铁塔鸟害事故通常较难应急处理,传统的鸟害事故图像处理算法泛化能力弱,而现有的深度学习检测算法应用对象又较为单一,因此,亟需稳定有效地实现输电铁塔全类别鸟害事故辨识。鉴于此,该文提出一种基于精细化的掩膜区域卷... 详细信息

随机突发的输电铁塔鸟害事故通常较难应急处理,传统的鸟害事故图像处理算法泛化能力弱,而现有的深度学习检测算法应用对象又较为单一,因此,亟需稳定有效地实现输电铁塔全类别鸟害事故辨识。鉴于此,该文提出一种基于精细化的掩膜区域卷积神经网络(fine mask regions with convolutional neural network features,Fine Mask RCNN)的110~220kV输电铁塔涉鸟故障识别与评估算法。该方法首先通过残差模块(residual network-50,ResNet-50)+特征金字塔网络(feature pyramid networks,FPN)感知巡检影像特征;其次,针对Mask RCNN细节信息丢失的问题,引入具有多尺度卷积核运算的信息融合模块进行丢失信息补偿,增强网络模型对于输入影像的特征表达与提取;最后,根据Fine Mask RCNN识别结果,结合传统图像处理技术,实现鸟巢类故障、鸟啄类和鸟粪污染绝缘子类故障评估与结果修正,形成了由故障识别到评估的一体化机制。实验结果表明,相较于掩膜区域卷积神经网络(Mask RCNN)、快速地区域卷积神经网络(Faster RCNN)和RetinaNet目标检测算法,Fine Mask RCNN算法的准确度均值(average precision,A_(P))可达93.8%,实现了输电铁塔涉鸟故障的智能辨识和分析处理,具有更加稳健的检测性能和现场实用价值。

关键词：绝缘子涉鸟故障输电线路 Fine Mask RCNN 深度学习

Electromagnetic characteristic analysis and design of a linear motor used for ultra-high-speed EMS maglev train

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Science China(Technological Sciences) 2024年第6期67卷 1957-1973页

作者： gao Han SHI TingNa gao XinMai LEI YanXiao YAN Dong GUO LiYan YAN Yan College of Electrical Engineering Zhejiang UniversityHangzhou310027China Zhejiang University Advanced Electrical Equipment Innovation Center Hangzhou311107China State Key Laboratory of High-speed Maglev Transportation Technology Qingdao266100China CRRC Qingdao Sifang Co.Ltd. Qingdao266111China

The operating speed of the commercial electromagnetic suspension(EMS)maglev train has been over 430 km/h,making it the fastest means of land *** the increasing demands of people traveling,it is necessary to further improve the operating speed of maglev *** to examine whether the existing EMS system can meet the requirements of ultra-highspeed operation(more than 600 km/h),the electromagnetic characteristics of an EMS linear motor under the operating speed of 600–1000 km/h fed by a square-wave voltage supply is investigated in this ***,an electromagnetic field model of the EMS system under the square-wave voltage supply is established to investigate its electromagnetic performance,e.g.,the characteristics of phase current,the magnetic flux density,and the electromagnetic ***,the relationship between the harmonic components of the air-gap magnetic flux density and electromagnetic force is investigated using the two-dimensional fast Fourier transform(2D-FFT)to reveal the mechanism of electromagnetic force ***,to address the issues of excessive armature current density and significant electromagnetic force ripple,the linear motor is re-designed by enlarging the stator slot area and reshaping the mover's main magnetic ***,the Taguchi method is used to further improve the electromagnetic characteristics of the linear electric ***,the effectiveness of the proposed optimal design is validated by the finite-element analysis(FEA)based co-simulation.

关键词： ultra-high-speed maglev transportation electromagnetic suspension(EMS) linear motor electromagnetic force ripple suppression

Advances in bio-inspired electrocatalysts for clean energy future

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Nano Research 2024年第2期17卷 515-533页

作者： Jing-Wen Duan Mu Min-Rui gao Division of Nanomaterials&Chemistry Hefei National Laboratory for Physical Sciences at the MicroscaleDepartment of ChemistryUniversity of Science and Technology of ChinaHefei 230026China

Electrocatalysis can enable efficient energy storage and conversion and thus is an effective way to achieve carbon *** unique structure and function of organisms can offer many ideas for the design of electrocatalysts,which has become one of the most promising research ***,the understanding of the mechanism of bio-inspired electrocatalysis has become clearer,which has promoted the design of bio-inspired catalysts and catalytic *** bio-inspired catalysts(enzyme-like catalysts,layered porous catalysts,superhydrophobic/superhydrophilic surfaces,and so on)have been developed to enable efficient electrocatalytic ***,we discuss the key advances in the field of bio-inspired electrocatalysts progressed in recent ***,the role of bio-inspiration in increasing the intrinsic activity and number of active sites of catalysts is ***,the structure and mechanism of layered porous catalytic systems that mimic biological transport systems are comprehensively ***,the design of three-phase interfaces from micro-nanoscale to atomic scale is highlighted,including the wettability of the electrode surface and the transport system near the *** conclude the review by identifying challenges in bio-inspired electrocatalysts and providing insights into future prospects for the exciting research field.

关键词： bio-inspired electrocatalysts active sites layered porous structure three-phase interface

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级联敏化三元旋涂型磷光器件电致发光性能

发光学报 2023年第2期44卷 219-226页

作者：高羽晗谢国华武汉大学化学与分子科学学院湖北武汉430072 武汉光电国家研究中心湖北武汉430074 汕头大学化学系和广东省有序结构材料的制备与应用重点实验室广东汕头515063

金属配合物磷光分子在高浓度下易产生发光猝灭,通常采用主客体两元掺杂结构来提高电致发光效率。热激活延迟荧光(TADF)材料通过三线态激子的反向系间窜越理论上可达到100%的内量子效率。为探究不同主体材料在三元敏化磷光体系中的作用,... 详细信息

金属配合物磷光分子在高浓度下易产生发光猝灭,通常采用主客体两元掺杂结构来提高电致发光效率。热激活延迟荧光(TADF)材料通过三线态激子的反向系间窜越理论上可达到100%的内量子效率。为探究不同主体材料在三元敏化磷光体系中的作用,本文基于TADF聚合物作为敏化剂、黄橙光磷光配合物作为发光材料,分别研究了以传统荧光材料和蓝色TADF主体构建的三元敏化的旋涂型有机电致发光器件性能。研究表明,在客体浓度分别为1%、5%、50%时,基于TADF主体的器件电致发光性能均优于相同浓度下以传统荧光主体构建的器件性能。其中当磷光配合物PO-01-TB掺杂浓度为1%时,以天蓝光TADF材料为主体制备的器件最大外量子效率为12.2%,相较于以传统荧光为主体的器件外量子效率(10.7%)提高了14%。这源于本身具有双极传输特性的TADF主体通过反向系间窜越通道增强了对敏化剂和客体的级联能量传递作用,减少了三线态激子的浓度猝灭和湮灭过程,提高了大电流注入下的激子利用率。

关键词：有机电致发光器件三元敏化热激活延迟荧光磷光能量传递

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Towards Data-Driving Multi-View Evaluation Framework for Scratch

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Tsinghua Science and Technology 2024年第2期29卷 517-528页

作者： Xiaolin Chai Yan Sun Yan gao Department of Computer Science Beijing University of Posts and TelecommunicationBeijing 100876China Intellectual Property Institute Shandong Polytechnic CollegeJining 272067China

As one of the most popular visual programming languages,Scratch has a lot of evaluation around *** evaluation can help programmers understand their projects *** the same time,it can also provide a reference for them to browse other projects in the online *** of the existing evaluations on Scratch are carried from three perspectives:Computational Thinking(CT)ability,visual presentation aesthetics,and code *** them,the assessment of CT and code quality is mainly carried out from the program script,while the evaluation of visual aesthetics is analyzed from the perspective of image sequences generated by project *** single-view evaluation focuses on the performance of a program in a certain aspect and is *** this paper,we propose a multi-view evaluation framework to integrate various evaluations using different *** quantitatively analyze the assessment of different views driven by *** with overall evaluations that represent human opinions,we analyze their differences and *** experiments,we determine the weights of different integration policies,the proposed multi-view evaluation method can generate evaluation results similar to human opinions.

关键词： Scratch Computational Thinking(CT) visual aesthetic static analysis integration policy machine learning