检索结果-内蒙古大学图书馆

Multi-resolution segmentation parameters optimization and evaluation for VHR remote sensing image based on meanNSQI and discrepancy measure

引用

JOURNAL OF SPATIAL SCIENCE 2021年第2期66卷 253-278页

作者： Chen, Yunhao Chen, Qiang Jing, Changfeng Beijing Normal Univ State Key Lab Earth Surface Proc & Resource Ecol Beijing Peoples R China Beijing Univ Civil Engn & Architecture Beijing Adv Innovat Ctr Future Urban Design Beijing Peoples R China Beijing Univ Civil Engn & Architecture Sch Geomat & Urban Spatial Informat Beijing Peoples R China

Multi-Resolution Segmentation (MRS) is known to be a general segmentation algorithm for very-high-resolution (VHR) remote sensing applications. The critical problems of MRS are the optimization of the parameters and the evaluation of segmentation quality. Based on the principle of maximizing the intra-object homogeneity and inter-object heterogeneity, we propose a novel Normalized Segmentation Quality Index (NSQI) and use level filtering to acquire the optimal parameters of the MRS algorithm. Using the geometric and arithmetic discrepancy between the segmented object and the reference object as the evaluation criterion, we then evaluate the quality of the segmented objects. The results of two experiments confirm the effectiveness of our meanNSQI and discrepancy measure approach. Additionally, a sensitivity analysis of the segmentation quality index demonstrates the reliability of the meanNSQI and the discrepancy measure.

关键词： Multi-resolution segmentation discrepancy measure very high resolution remote sensing parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Research on CNC Process parameters optimization Based on Process Planning Knowledge

Research on CNC Process Parameters Optimization Based on Pro...

引用

International Conference on Precision Engineering and Non-Traditional Machining (PENTM 2011)

作者： Gao Xiaobing Yan Xue Wu Fujia Xian Technol Univ Sch Mech & Elect Engn Xian Peoples R China Northwestern Polytech Univ Sch Mech Engn Xian Peoples R China

ISBN: (纸本)9783037853184

CNC milling process parameters is the key issue to improve quality and productivity of product and save cost. Especially, in the end milling of the pockets, the radial depth and real feed vary as the end mill moves along the corner. This will result in the unstable of the cutting force and the bad accuracy of the milled pockets. In this paper, according to analysis of CNC machining process, the model of dynamic cutting force based on knowledge in the end milling of the pockets is established, which is predicted by the model of cutting force coefficient. The optimization milling parameters can be calculated in terms of the model of dynamic cutting force in the pockets, work piece material properties. In the end, the experiment proves the process of optimization.

关键词： Dynamic cutting force parameters optimization Knowledge Driving

来源：评论

学校读者我要写书评

暂无评论

parameters optimization on the polishing process for the alloy films on copper substrates based on Taguchi method

引用

Weixi Jiagong Jishu/Microfabrication Technology 2008年第4期 58-61页

作者： Zhu, Cong-Rong Yuan, Ju-Long Lu, Bing-Hai Wen, Dong-Hui College of Mechanical Engineering Zhejiang Ocean University Zhoushan 316004 China Precision Engineering Laboratory Zhejiang University of Technology Hangzhou 310014 China National Engineering Research Center for High Efficiency Grinding Hunan University Changsha 410082 China

To obtain the amorphous alloy films with superior properties by electrochemical deposition, the accuracy requirement of copper substrates is extraordinarily strict. The application of Taguchi method for optimization of copper substrate polishing process parameters to obtain the best finish was introduced. An optimization experiment for polishing copper substrate with diamond was designed by Taguchi method. Surface roughness Ra and Rt are considered as criteria for optimization. Influence of parameters involving load, speed, and slurry concentration for a given workmaterial with given abrasive (material and size) are discussed, and the optimum polishing conditions are figured out, and super smooth surface (Ra 6 nm, Rt 60 nm) is obtained under this conditions. It illustrates that the experiment design based on Taguchi method can successfully applied to determine the optimum processing conditions for copper substrate polishing process.

关键词： Copper substrate parameters optimization Polishing Taguchi method

来源：评论

学校读者我要写书评

暂无评论

Test parameters optimization for constrained spray forming of aluminum alloy based on artificial neural network

引用

ENGINEERING RESEARCH EXPRESS 2020年第3期2卷

作者： Liu, Yingli Yao, Changhui Yin, Jiancheng Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming 650093 Yunnan Peoples R China Kunming Univ Sci & Technol Fac Mat Sci & Engn Kunming 650093 Yunnan Peoples R China

Spray deposition with following continuous extrusion (SD-CE) forming technique is a novel technology that combines spray forming and continuous extrusion. optimization of test parameters for spray deposition is an important part of SD-CE. In this study, Al-20Si alloy was produced by spray forming at different melt temperature and gas pressure, and obtained grain diameter of 8 group primary silicon phase. Based on the experimental results, an Artificial Neural Network (ANN) with single hidden layers composing of 10 neurons was employed to simulate optimizing of test parameters for spray deposition. The inputs of the model are melt temperature and gas pressure. The output of the model is grain diameter. Finally, the minimum relative error of grain diameter is 0.09%, the maximum relative error is 8.38%, and error majority concentrate within 3.80%, the average absolute relative error(AARE) is 1.04%, R is 0.097, the error is small. The optimal test parameters for spray deposition are melt temperature(829 degrees C) and gas pressure(0.2 MPa). The results indicate that the ANN model is an easy and practical method to optimize the test parameters for spray deposition of Al-20Si alloy. Thereby this model is a useful reference for optimizing the test parameters of SD-CE

关键词： Al-20Si alloy SD-CE grain diameter of primary silicon artificial neural network parameters optimization

来源：评论

学校读者我要写书评

暂无评论

The Structure parameters optimization of Turning Platform for Auger Drill

The Structure Parameters Optimization of Turning Platform fo...

引用

The 2015 International Conference on Advances in Construction Machinery and Vehicle Engineering(ICACMVE’2015)

作者： Qin Xianrong Zong Rui Zhang Qing Sun Yuantao School of Mechanical Engineering Tongji University

Auger drill,working in the construction of construction foundation engineering,drilling with kinds of drilling tools,plays a vital role in the development of urbanizatioa The turning platform is a mainly component of auger drill,It supports the working device,luffing device,*** impact loads under pressuring drilling,promotion and offloading *** this paper,forcing conditions of I-shape bearing beam in turning platform were analysed,other accessory structure were *** optimization problems of structure parameters for bearing beam were described in *** the first one,the buckling load coefficient in buckling analysis was selected as optimization *** the second one,the maximum stress was optimization *** proper structure parameters were determined comprehensively by comparing two optimization *** optimizations were solved by ANSYS optimization module,the finite element model of beam was constructed with shell elements.

关键词： auger drill platform parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Isolated overburden grout injection technology mining and grouting parameters discussion and optimization

引用

ENVIRONMENTAL EARTH SCIENCES 2024年第8期83卷 1-30页

作者： Li, Ya-xing Ma, Jun Yang, Ke-ming Jiang, Ke-gui Gu, Xin-ru Peng, Li-shun Chen, Xin-yang China Univ Min & Technol Beijing Coll Geosci & Surveying Engn Beijing 100083 Peoples R China Huaibei Min Co Ltd Gen Def Geol Survey Dept Huaibei 235000 Peoples R China

The Isolated Overburden Grout Injection Technology is employed for the "Three down" coal resource mining, ground subsidence management, and fly ash waste treatment, exemplifying the concept of environmentally friendly mining. The analysis of Isolated Overburden Grout Injection Technology can be effectively conducted utilizing the large-deflection inclined thin plate combined with the slurry model. However, differences in stratigraphic parameters, such as main roof and principal key strata (PKS), among different mines, as well as variations in design parameters like working face dimensions, mining height, coal seam angle of inclination, mining speed, and grouting parameters such as the number of grouting holes, start and finish times. These parameters lead to variations in outcomes such as PKS deflection and Bed-separation development, as well as the maximum subsidence and extent of the ground subsidence basin. To guarantee accurate and effective safeguarding of village structures, exploitation of coal resources, and appropriate management of fly ash waste, it is crucial to assess each parameter's influence in the model thoroughly. This analysis aims to clarify the mining and grouting process and enhance the logical design of the essential parameters. This paper classifies and examines the influence of each parameter on the results, utilizing the case study of the 7221 work face grouting operations in Huaibei, Anhui Province, China. The mining and grouting parameters were re-optimized to meet the protection requirements of the Gaochangying and Houlou Gaojia villages. The changes assessed the possible advantages of enhancing the initial design of coal seam resources and including fly ash backfill.

关键词： Key strata theory Isolated Overburden Grout Injection Technology Large deflection thin plate Ground subsidence control parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Research on parameters optimization and simulation of the Ant Colony Algorithm

Research on parameters optimization and simulation of the An...

引用

International Conference on Cyberspace Technology (CCT 2014)

作者： Xing Wei Zhiyuan Li Jingjing Qu Guilin University of Aerospace Technology China

ISBN: (纸本)9781510802704

parameters optimization are studied to improve the speed of computing in the Ant Colony Algorithm, Preferences unreasonable takes a long time and search is slow. In order to improve search efficiency of the algorithm, Parameter optimization rules are proposed in the Ant Colony Algorithm, The algorithm improves the basic ant colony algorithm in the parameter selection rules of α.β.ρ. and m, by improving, the ant colony effectively avoid falling into local optimum, speed up the convergence and improve the search efficiency. Simulation results show that parameters optimization effectively improve the performance of the algorithm, the works are feasible and beneficial to the application and development of the ant colony algorithm.

关键词： ACA parameters optimization optimization Parameter optimization ant algorithm

来源：评论

学校读者我要写书评

暂无评论

Adaptive ant colony algorithm and its application to parameters optimization of PID controller

Adaptive ant colony algorithm and its application to paramet...

引用

2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

作者： Jiajia He Zaien Hou College of Electrical and Information Engineering Shaanxi University of Science and Technology Xi'an College of Science Shaanxi University of Science and Technology Xi'an 710021 PRC

ISBN: (纸本)9781424488094

Ant colony algorithm (ACA) is a new simulated evolutionary optimization algorithm with the characteristics of positive feedback, distributed computing and strong robustness, but it has the limitations of poor convergence and is easy to fall in local optima. An adaptive ant colony algorithm (AACA) is introduced to improve overall importance of solutions grounded on the basic principles of ACA, and it has been applied to parameters optimization design of PID controller. The simulation results show that it is an effective and feasible algorithm with good performance index.

关键词： ant colony algorithm PID control performance index parameters optimization pheromone

来源：评论

学校读者我要写书评

暂无评论

parameters Simulation and optimization of Flying Net for UAVs Interception

引用

IEEE ACCESS 2022年 10卷 56668-56676页

作者： Xiang, Hongjun Liang, Chunyan Qiao, Zhiming Yuan, Xichao Cao, Genrong Army Engn Univ Dept Mech Engn Shijiazhuang Campus Shijiazhuang 050003 Hebei Peoples R China Beijing Inst Technol State Key Lab Explos Sci & Technol Beijing 100081 Peoples R China

As to the countermeasures of low, small and slow "black flying" UAV, the flying net launching technology scheme for anti-UAV based on reluctance electromagnetic launcher was proposed, and the working principle of the system was analyzed. For the nonlinear large deformation problem of flying net, the default beam element model and mechanical model of flying net were constructed, and the simulation analysis was carried out. Based on the orthogonal experimental method, the optimization analysis of flying net parameters was carried out, and based on the range analysis results, the sensitivity of armature initial velocity, armature mass and initial angle to the effective distance of flying net was obtained, as well as the optimization parameter combination. The flying net launching experimental system was established and validation experiments were carried out. The results show that the reluctance electromagnetic launching technology can be used to launch the flying net, and the flying net can effectively intercept the UAV. Furthermore, the initial angle of the armature has the greatest influence on the effective distance of the flying net, while the velocity of the armature has the least influence.

关键词： Analytical models Strain Electromagnetics Deformable models optimization Mathematical models Force Reluctance electromagnetic launcher anti-UAV flying net parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Application of Intellectual calculation in parameters optimization

Application of Intellectual calculation in parameters optimi...

引用

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009)

作者： Ye jianxiong 1,2 1.Nanchang Institute of Technology Nanchang,P.R.C 2.Electromechanical college of Nanchang University Wei hui 1,2 1.Jiangxi Blue sky University 2.Electromechanical college of Nanchang University Nanchang,P.R.C

It is an important and a hard work to find out the best welding parameters before working at *** the study of nonlinear mapping function of BP Neural Network(BP NN) and global optimizing ability of Genetic Algorithm(GA),a method combined quadratic regressive orthogonal design with artificial Neural Network and Genetic Algorithm is introduced here,the method can find out the best welding parameters within the whole range of *** different influence caused by various population size and different crossover fraction is also studied *** testify that this method can not only reduce the testing number but also has the virtue of accuracy,efficiency and extensive adaptability.

关键词： parameters optimization GA BP neural network

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

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

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

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

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：