检索结果-内蒙古大学图书馆

Porcine automation: Robotic abdomen cutting trajectory planning using machine vision techniques based on global optimization algorithm

引用

COMPUTERS AND ELECTRONICS IN AGRICULTURE 2017年 143卷 193-200页

作者： Liu, Yi Cong, Ming Zheng, Huadong Liu, Dong Dalian Univ Technol Sch Mech Engn Dalian 116024 Peoples R China

The purpose of this paper is to provide details on implementation of accurate and intelligent automation solution for porcine abdomen cutting while a pig is hung up by rear legs. The system developed utilized a 6-DOF industrial manipulators, customized tools, 2D camera and PC. Eye-to-hand calibrations built coordinate transformation relations of units in Cartesian space. The porcine abdomen curve was identified and fitted into quintic spline curve from image. Under cavum peritonaei constrains, optimal sectional trajectory was planned based on genetic algorithm (GA) by comparing several kinds of optimization algorithms. The results of experimental replications show that the system was successful both in following the varied position carcass and cutting open abdominal cavity without haslet damage. The system can enhance the quality, hygienic standard and efficiency of the process.

关键词： Machine vision Trajectory planning Industrial robot Porcine automation global optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Computational Analysis on Electromagnetic Field Reversal based on global optimization algorithm

Computational Analysis on Electromagnetic Field Reversal bas...

引用

2015 4th International Conference on Mechatronics,Materials,Chemistry and Computer Engineering(ICMMCCE 2015)

作者： Yanfeng Liu College of Physics and Electronic Information Yan’an University

With continuous development of computer technology and extensive research on electromagnetic field reversal, calculation of electromagnetic field has already become a research hotspot at present. Based on global optimization algorithm, the author discusses calculation of electromagnetic field reversal in this paper, with expectation to make an in-depth and comprehensive research on this question and make effective improvement to the calculation efficiency.

关键词： global optimization algorithm Electromagnetic field Reversal Calculation

来源：评论

学校读者我要写书评

暂无评论

EIS equivalent circuit model prediction using interpretable machine learning and parameter identification using global optimization algorithms

引用

ELECTROCHIMICA ACTA 2022年 418卷 1页

作者： Zhao, Zhaoyang Zou, Yang Liu, Peng Lai, Zhaogui Wen, Lei Jin, Ying Univ Sci & Technol Beijing Natl Ctr Mat Serv Safety Beijing 102206 Peoples R China

Among seven multiclassification machine learning (ML) models taking optimized hyperparameters found by grid search, AdaBoost achieved the known highest equivalent circuit model (ECM) prediction accuracy, 0.571, and had a prediction basis that was consistent with a common chemical knowledge-the slowest step usually is vital in the whole electrochemical process. Twenty global optimization algorithms (GOA)s were assessed on simulated and experimental impedance spectra belonging to nine different ECMs, which proved that GOAs obtained nearly the same identification accuracy as the artificial identification under no interference of obvious abnormal points. ML combining with GOA provides a new possibility to automatically process EIS.

关键词： Electrochemical impedance spectroscopy Equivalent circuit model Interpretable machine learning Classification global optimization algorithm Parameter identification

来源：评论

学校读者我要写书评

暂无评论

Nonsingular Indirect Boundary Element Method and Multistrategy Particle Swarm optimization algorithm Applied to 3D Subsurface Cavity Inversion

引用

INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS 2025年第2期49卷 448-465页

作者： Liu, Zhongxian Zhu, Shuo Cheng, Alexander H. D. Huang, Zhenen Tianjin Chengjian Univ Tianjin Key Lab Soft Soil Characterist & Engn Envi Tianjin Peoples R China Tianjin Univ Dept Civil Engn Tianjin Peoples R China Univ Mississippi Sch Engn University MS USA

The inversion of subsurface geological structures is a crucial approach for gaining insights into the internal composition of the earth. In this paper, we propose a novel inversion method combining the nonsingular indirect boundary element method (IBEM) with the multistrategy particle swarm optimization (MSPSO) algorithm, tailored for accurately inverting 3D subsurface cavities. Leveraging the semi-analytical nature of IBEM offers advantages such as dimensionality reduction, automatic fulfillment of radiation conditions at infinity, and high computational accuracy. Furthermore, to augment global optimization and local search capabilities, an MSPSO algorithm is introduced. Employing multiple optimization strategies enhances particle diversity, accelerates algorithm convergence, and mitigates the risk of local optima. Through the consideration of subsurface cavities with varying parameters, this method quickly identifies the approximate location of the cavity within a wide search range. The final results demonstrate that the proposed method can simultaneously and accurately invert the 3D spatial position, size, and orientation of the cavity.

关键词： elastic wave exploration global optimization algorithm indirect boundary element method inversion of the subsurface cavity multistrategy particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Multi-Channel Absolute Distance Measurement Based on Optical Carrier-Based Microwave Scanning Interferometry

引用

JOURNAL OF LIGHTWAVE TECHNOLOGY 2024年第17期42卷 5830-5838页

作者： Zhang, Zhen Kang, Jiehu Liu, Ruihao Cao, Yulei Hao, Yu Sun, Zefeng Feng, Luyuan Zhao, Zongyang Wu, Bin Xue, Ting Tianjin Univ State Key Lab Precis Measurement Technol & Instrum Tianjin 300072 Peoples R China Tianjin Univ Coll Elect Informat Engn Tianjin 300072 Peoples R China

Cost-efficient multi-objective synchronous ranging solutions are highly desired in many fields such as manufacturing and infrastructure. However, traditional laser ranging methods have limitations in absolute ranging and multi-channel expansion. In this paper, a multi-channel absolute distance measurement method based on optical carrier-based microwave scanning interferometry (OCMSI) is proposed. After microwave scanning and synchronous demodulation, the amplitude spectrums and phase spectrums of interference signals are established. The transmission signals of each channel can be separated and reconstructed by using the discrete Fourier inverse transform. Additionally, it is demonstrated that the designed global optimization algorithm for extracting free spectral range can effectively reduce the impact of detection errors and channel interference. Existing interferometers can achieve multi-channel parallel absolute distance measurement without the need for additional modulation, demodulation, and optoelectronic detection devices. Experimental results have shown that the system structure is simple, and the ranging accuracy of for 3 channels is higher than +/- 60 mu m within at least 35 m optical path.

关键词： Distance measurement Masers Optical interferometry Microwave measurement Measurement by laser beam Microwave photonics Microwave filters Multi-channel distance measurement optical carrier-based microwave global optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Application of data mining in a global optimization algorithm

引用

ADVANCES IN ENGINEERING SOFTWARE 2013年 66卷 24-33页

作者： Chen, T. Y. Huang, J. H. Natl Chung Hsing Univ Dept Mech Engn Taichung 40227 Taiwan

A hybrid global optimization algorithm is developed in this research. The probability of finding the global optimal solution is increased by reducing the search space. The activities of classification, association, and clustering in data mining are employed to achieve this purpose. The hybrid algorithm developed uses data mining (DM), evolution strategy (ES) and sequential quadratic programming (SQP) to search for the global optimal solution. For unconstrained optimization problems, data mining techniques are used to determine a smaller search region that contains the global solution. For constrained optimization problems, the data mining techniques are used to find the approximate feasible region or the feasible region with better objective values. Numerical examples demonstrate that this hybrid algorithm can effectively find the global optimal solutions for two benchmark test problems. (C) 2013 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.

关键词： global optimization algorithm Data mining Evolution strategy Sequential quadratic programming Reduced search space Hybrid search method

来源：评论

学校读者我要写书评

暂无评论

A New Hybrid Equivalent Modeling Method of Low-Frequency Radiation Source Based on GS and JADE algorithms and Phaseless Near-Field Data

引用

IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY 2024年第3期66卷 917-927页

作者： Huang, Xiaoting Liu, Qifeng Chen, Hao Li, Yongming Huang, Chen Zhu, Xuegui Zhang, Huaiqing Yin, Wen-Yan Chongqing Univ Sch Elect Engn Chongqing 400044 Peoples R China China Ship Dev & Design Ctr Sci & Technol EMC Lab Wuhan 430064 Peoples R China Zhejiang Univ Innovat Inst Electromagnet Informat & Elect Integr Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China

Near-field phase measurements are often difficult and very time-consuming for real applications in comparison with phaseless ones. Meanwhile, it is also challenging, with global optimization or phase recovery algorithm implemented, to build an equivalent radiation model based on a dipole array through phaseless near-field data. The optimization and phase recovery algorithms have certain problems in the selections of dipole moment limits and local optimality, respectively. Here, a new hybrid equivalent modeling method of low-frequency radiation characteristics is proposed, which combines the Gerchberg-Saxton (GS) algorithm with adaptive differential evolution algorithm effectively. An initial set of dipole arrays with dipole position, array height, and dipole moment is obtained using the fast solution of the GS algorithm at first, and global optimization algorithm is further used to update the dipole arrays with the global seeking to improve both accuracy and efficiency of the equivalent modeling for the low-frequency radiation source. Such hybrid method can solve the problem of the GS algorithm, which is easy to fall into the local optimum, as well as the problem of global optimization algorithm not being able to quickly determine upper and lower bounds of dipole moments. Its effectiveness is verified by simulations as well as measurements.

关键词： Equivalent dipoles model Gerchberg-Saxton (GS) algorithm global optimization algorithm radiation source

来源：评论

学校读者我要写书评

暂无评论

Meta-heuristic global optimization algorithms for aircraft engines modelling and controller design;A review, research challenges, and exploring the future

引用

PROGRESS IN AEROSPACE SCIENCES 2019年第Jan.期104卷 40-53页

作者： Jafari, S. Nikolaidis, T. Cranfield Univ SATM Ctr Prop Engn Cranfield MK43 0AL Beds England

Utilizing meta-heuristic global optimization algorithms in gas turbine aero-engines modelling and control problems is proposed over the past two decades as a methodological approach. The purpose of the review is to establish evident shortcomings of these approaches and to identify the remaining research challenges. These challenges need to be addressed to enable the novel, cost-effective techniques to be adopted by aero-engine designers. First, the benefits of global optimization algorithms are stated in terms of philosophy and the nature of different types of these methods. Then, a historical coverage is given for the applications of different optimization techniques applied in different aspects of gas turbine modelling, controller design, and tuning fields. The main challenges for the application of meta-heuristic global optimization algorithms in new advanced engine designs are presented. To deal with these challenges, two efficient optimization algorithms, Competent Genetic algorithm in single objective feature and aggregative gradient-based algorithm in multi-objective feature are proposed and applied in a turbojet engine controller gain-tuning problem as a case study. A comparison with the publicly available results show that optimization time and convergence indices will be enhanced noticeably. Based on this comparison and analysis, the potential solutions for the remaining research challenges for application to aerospace engineering problems in the future include the implementation of enhanced and modified optimization algorithms and hybrid optimization algorithms in order to achieve optimal results for the advanced engine modelling and controller design procedure with affordable computational effort.

关键词： Meta-heuristic global optimization algorithm Gas turbine modelling and control New engine designs Competent genetic algorithm Aggregative gradient-based

来源：评论

学校读者我要写书评

暂无评论

Feasibility of an inerter-based causal rate-independent damping model for the protection of seismically isolated structures

引用

STRUCTURES 2024年 62卷

作者： Wu, Zhanzhan Ikago, Kohju Tohoku Univ Grad Sch Engn Sendai 9808572 Japan Tohoku Univ Int Res Inst Disaster Sci Sendai 9808572 Japan 468-1 Aramaki Aza Aoba Aoba Ku Sendai 9808572 Japan

Rate-independent linear damping (RILD), also referred to as linear hysteretic damping, is a linear model of structural or material damping in which the energy dissipation per cycle is independent of the frequency. The resistive force of an ideal RILD model is in phase with the velocity to dissipate energy, while its amplitude is proportional to the displacement, which is suitable for the direct control of seismic response displacement when incorporated into a structure. The tuned Maxwell-Wiechert (TMW) model is a viable option for approximating the damping characteristics of RILD. However, the undesirable stiffness produced by the TMW model compromises the flexibility of the isolator, and thereby fails to deliver the benefits of RILD. To overcome this challenge, the addition of two inerter elements to the TMW model in series and parallel arrangements is proposed in this study to eliminate the undesirable storage stiffness. The parameters of the proposed model are determined using particle swarm optimization. Analyses of a 10-story building structure mounted on linear and nonlinear isolation systems demonstrated that the proposed model achieved lower interstory drifts and approximately 40% reduction in floor response accelerations, with similar isolator displacements compared with LVD when subjected to ground motions dominated by high-frequency components. Moreover, floor response acceleration mitigation was attained at the slight expense of isolator displacement, even when the proposed system was incorporated into nonlinear isolation systems and subjected to low-frequency ground motions.

关键词： Rate-independent linear damping Maxwell-Wiechert model Inerter Low-frequency structure global optimization algorithm Bouc-Wen hysteretic model

来源：评论

学校读者我要写书评

暂无评论

Efficient and Robust Estimation of Various Ore and Mineral Model Parameters from Residual Gravity Anomalies Using the Dual Classification Learning Rao algorithm

引用

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2024年 1-30页

作者： Warnana, Dwa Desa Sungkono, S. Essa, Khalid S. Inst Teknol Sepuluh Nopember Geophys Dept Surabaya 60111 Indonesia Inst Teknol Sepuluh Nopember Fac Sci & Data Analyt Phys Dept Surabaya 60111 Indonesia Cairo Univ Fac Sci Geophys Dept PO 12613 Giza Egypt

The inversion of gravity data aims for fast and accurate parameter estimation associated with subsurface conditions. This step is important for ore and mineral exploration. The inversion problem can be classified as both multimodal and nonlinear, making it a very challenging task. Most existing algorithms, such as very fast simulated annealing, particle swarm optimization, differential evolution, and bat algorithm, involve time-consuming parameter-tuning processes. The Rao algorithm is a global optimization method that provides free parameter-tuning;however, the solutions often get stuck at the local minima. To address the gravity inversion problem, a dual-classification learning Rao algorithm, denoted as DLRao, was proposed. DLRao's exploration and exploitation capacities were enhanced through two operators: modified Rao and adaptive differential evolution. As a result, DLRao does not require any parameter tuning. To showcase its efficiency and robustness, the algorithm was rigorously tested and compared with nine different variants of the Rao algorithms. The evaluation was conducted on two synthetic models: Model-1, representing a horizontal cylinder source, and Model-2, depicting a scenario with multiple anomalous sources. Each model was subjected to two different kinds of noise, namely noise-free and noise-added conditions. Based on convergence and dispersion curves, DLRao outperformed other Rao algorithm variants in terms of efficiency and robustness when applied to gravity data inversion. Utilizing the cost function topography, DLRao is capable of generating a posterior distribution model to effectively manage the uncertainties associated with gravity data inversion. Furthermore, the DLRao algorithm was successfully employed to locate ore and minerals in regions such as Canada, Cuba, and India. The results obtained align well with existing geological studies, drilling data, and findings from published literature.

关键词： Gravity data global optimization algorithm Rao algorithm Posterior distribution model Ore and mineral model

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：