检索结果-内蒙古大学图书馆

A Novel Toolpath for Robotic Adaptive Grinding of Extremely Thin Blade Edge Based on Dwell Time Model

IEEE-ASME TRANSACTIONS ON MECHATRONICS 2022年第6期27卷 4429-4439页

作者： Lv, Chong Zou, Lai Huang, Yun Li, Heng Wang, Tingting Mu, Yilin Chongqing Univ Coll Mech & Vehicle Engn State Key Lab Mech Transmiss Chongqing 400044 Peoples R China

High precision and high efficiency in robotic grinding of aero-engine extremely thin blade edges is a challenging problem. In this article, a novel toolpath planning method is proposed based on the derived dwell time calculation model and the developed interpolation algorithm. The dwell time of each cutter contact point is solved based on the matrix method by consideration of the revised material removal model and machining allowance distribution. To optimize the previous interpolation algorithm based on geometric intersection, an arc length and Taylor binary expansion optimization are proposed to plan cutter contact points according to the dwell time and the curvature changes of blade edges. Subsequently, the tool orientation is corrected based on a double-vector controlling method to avoid the processing interference. Simulation results show that the proposed interpolation algorithm has improved the path coverage by 17.6%, and its computational efficiency is 34 times higher than that in previous algorithm. The comparative robotic grinding experiment results show that the proposed toolpath has improved the surface profile accuracy of blade edge to 0.042 mm, and its machining accuracy is 14.3-46.2% higher than that of other methods.

关键词： Aero-engine blade dwell time interpolation algorithm robotic grinding toolpath planning uneven allowance

来源：评论

学校读者我要写书评

暂无评论

A Bio-inspired trajectory planning method for robotic manipulators based on improved bacteria foraging optimization algorithm and tau theory

引用

MATHEMATICAL BIOSCIENCES AND ENGINEERING 2022年第1期19卷 643-662页

作者： Wang, Zhiqiang Peng, Jinzhu Ding, Shuai Zhengzhou Univ Sch Elect Engn 100 Sci Ave Zhengzhou 450001 Peoples R China

In this paper, a novel bio-inspired trajectory planning method is proposed for robotic sys-tems based on an improved bacteria foraging optimization algorithm (IBFOA) and an improved in-trinsic Tau jerk (named Tau-J*) guidance strategy. Besides, the adaptive factor and elite-preservation strategy are employed to facilitate the IBFOA, and an improved Tau-J* with higher-order of intrinsic guidance movement is used to avoid the nonzero initial and final jerk, so as to overcome the computa-tional burden and unsmooth trajectory problems existing in the optimization algorithm and traditional interpolation algorithm. The IBFOA is utilized to determine a small set of optimal control points, and Tau-J* is then invoked to generate smooth trajectories between the control points. Finally, the results of simulation tests demonstrate the eminent stability, optimality, and rapidity capability of the proposed bio-inspired trajectory planning method.

关键词： robotic manipulator trajectory planning improved bacteria foraging optimization algorithm Tau theory interpolation algorithm multi-objective optimization

来源：评论

学校读者我要写书评

暂无评论

An extremum-guided interpolation for sparsely sampled photoacoustic imaging

引用

PHOTOACOUSTICS 2023年 32卷 100535页

作者： Wang, Haoyu Yan, Luo Ma, Cheng Han, Yiping Xidian Univ Hangzhou Inst Technol Hangzhou 311231 Zhejiang Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China XIDIAN Univ Sch Phys Xian 710126 Shaanxi Peoples R China

In photoacoustic (PA) reconstruction, spatial constraints or real-time system requirements often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and dense temporal sampling often leads to poor signal continuity. To address the structural characteristics of sparse PA signals, a data interpolation algorithm based on extremum-guided interpolation is proposed. This algorithm is based on the continuity of the signal, and can complete the estimation of high sampling rate signals without complex mathematical calculations. PA signal data is interpolated and reconstructed, and the results are evaluated using image quality assessment methods. The simulation and experimental results show that the proposed method performs better than several typical algorithms, effectively restoring image details, suppressing the generation of artifacts and noise, and improving the quality of PA reconstruction under sparse sampling.

关键词： Photoacoustic imaging Signal processing interpolation algorithm Image reconstruction Image quality assessment

来源：评论

学校读者我要写书评

暂无评论

Cloth simulation based on neural network regression 2

Cloth simulation based on neural network regression

引用

2nd International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2023

作者： Zhu, Heng Gao, Zhan Xu, Lei Nantong University School of Information Science and Technology Nantong City China

ISBN: (纸本)9798350331417

The article proposes a fabric simulation method that integrates a BP neural network regression model, which improves collision detection efficiency and reduces computational overhead. Based on data computed using traditional implicit integration algorithms, this approach utilizes a BP neural network to establish a model for predicting the coordinates of particles in the next time step. Subsequently, an interpolation algorithm is used to increase the quantity of fabric particles, repeating this interpolation process multiple times until achieving a finer fabric simulation. Ultimately, the study demonstrates that the integration of the BP neural network-predicted fabric simulation model not only conserves significant computational resources but also optimizes operational efficiency. This integration yields stable animations, establishing itself as a reliable and efficient fabric simulation approach. © 2023 IEEE.

关键词： BP neural network Cloth simulation Implicit integration interpolation algorithm Self-collision detection

来源：评论

学校读者我要写书评

暂无评论

Acceleration-based FIR filters for trajectory interpolation with different kinematic constraints and target velocities for NC systems

引用

CONTROL ENGINEERING PRACTICE 2022年 124卷

作者： Huang, Ruei-Yu Cheng, Chung-Wei Tsai, Mi-Ching Lee, An-Chen Natl Yang Ming Chiao Tung Univ Dept Mech Engn 1001 Ta Hsueh Rd Hsinchu 300 Taiwan Natl Chiao Tung Univ Dept Mech Engn Ta Hsueh Rd 1001 Hsinchu 300 Taiwan Natl Cheng Kung Univ Dept Mech Engn Tainan Taiwan

Motion planning is a critical issue in CAD/CAM manufacturing systems. Many interpolation algorithms based on velocity-based finite-impulse-response (FIR) filters have been proposed to interpolate fast and smooth trajectories, in which the reference trajectories are usually composed of a series of linear segments. Those methods, however, possess two main limitations: first, they can only interpolate trajectories that maintain the same target velocity, i.e., the corner error equations will fail if the target velocities are different around different corners. Second, many systems have different kinematic constraints around different corners, but all of the methods can only process fixed and conservative kinematic constraints. In order to overcome these two limitations, an interpolation algorithm based on acceleration-based FIR filters is proposed. By applying FIR filters to the acceleration base, the motion planning process will comprise several individual convolution processes. The filters and constraints in each convolution process can be designed differently. Therefore, the interpolation algorithm can generate trajectories with different target velocities and kinematic constraints because the taps and types of FIR filters can be changed accordingly during the interpolation process. The experiment results show that, by applying the proposed method to a non-linear kinematic system, more than 10% of motion time is saved when compared to a velocity-based method, the performance of the system can be fully utilized, and efficiency can be markedly improved.

关键词： Motion planning interpolation algorithm FIR filter Acceleration/deceleration Corner smoothing

来源：评论

学校读者我要写书评

暂无评论

A MODIFIED Z-MAP COMPUTATIONAL interpolation algorithm FOR SURFACE MACHINING SIMULATION

引用

TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING 2013年第3期37卷 515-527页

作者： Tsai, Jo-Peng Far East Univ Dept Comp Sci & Informat Engn Tainan Taiwan Natl Sun Yat Sen Univ Dept Informat Management Kaohsiung 80424 Taiwan

The Z-Map algorithm is one of the most simplistic methods for NC code simulation in obtaining the machined working surface information;therefore, it is often being applied in NC simulation. In this paper, a modified Z-Map computational algorithm was proposed to calculate mesh position and Z coordinates of tool scanning surface according to tool path and initial tool scanning boundary in reducing the long computation time. The proposed algorithm not only can be used to derive straight line and arc machining tool path, but also, can be adopted for helical and spline curves. There is no need to simplify the non-linear curves beforehand. The method proposed in this paper provides a feasible reference for decision about the reliability and suitability of each machining step.

关键词： NC simulation Z-Map interpolation algorithm

来源：评论

学校读者我要写书评

暂无评论

Incomplete Road Information Imputation Using Parallel interpolation to Enhance the Safety of Autonomous Driving

引用

IEEE ACCESS 2020年 8卷 25420-25430页

作者： Gao, Kaifeng Wang, Bowen Xiao, Lei Mei, Gang China Univ Geosci Beijing Sch Engn & Technol Beijing 100083 Peoples R China

Autonomous driving is the main application of Internet of Things (IoT) technology in the field of intelligent transportation. In autonomous driving, self-driving cars will avoid changing lanes in a short distance. When the self-driving car executes the follow-up instruction, the road smoothness in front of the car will affect the driving safety and comfort of the car. The real-time acquisition of road information in front of driving will help the self-driving car adjust driving behavior. However, other vehicles on the road will lead to the failure of Light Detection And Ranging (LiDAR) detectors to obtain complete road point cloud data. The incomplete road point cloud data need to be imputated to avoid potential misjudgements of the road conditions. Currently, little research work specifically focuses on imputating the incomplete road point cloud data that are caused by obstacle vehicles. In this paper, we propose a fast method to imputate the incomplete road point cloud data using a Graphics Processing Unit (GPU)-based parallel Inverse Distance Weighted (IDW) interpolation algorithm to enhance the safety of autonomous driving. To evaluate the performance of the proposed method, two groups of experiments are conducted. The experimental results indicate the following: (1) the known point cloud data within 5 meters around the obstacle vehicle are sufficient to guarantee the imputation accuracy;(2) when the weight parameter of the IDW interpolation is 4, the efficiency and accuracy of the imputation can be optimally balanced;and (3) it takes approximately 0.6 seconds to imputate the incomplete dataset consisting of 15 million points, while the imputation error is approximately 5 millimeters. The proposed method is capable of efficiently and effectively imputating the incomplete road point cloud data that are induced by obstacle vehicles and outperforms other interpolation algorithms and machine learning algorithms.

关键词： IoT self-driving car path planning data imputation interpolation algorithm GPU

来源：评论

学校读者我要写书评

暂无评论

A Frequency Adaptive Data Collection Method for Internet of Things Nodes

引用

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS 2023年第4期32卷 2350066-2350066页

作者： Liu, Bo Yang, Aiqiang Tan, Xuyang Deng, Mengyao Hunan Agr Univ Sch Informat & Intelligent Sci & Technol Changsha 410128 Hunan Peoples R China

The aim of this paper is to solve the problem of a large amount of redundant data in the process of large-scale acquisition of Internet of Things sensors. This paper proposes a frequency adaptive data sensing method based on revolving gate algorithm for STM32 power safety data acquisition system. The method realizes the intelligent control of current protection terminal through three-stage current protection algorithm and frequency adaptive data acquisition algorithm. First, the three-stage current protection algorithm is used to protect the circuit, which can trip quickly in case of overload, and reduce the peak current caused by some equipment when starting up, so as to avoid damage to the equipment. Second, the arithmetic mean of each statistic is compared with the last value reported to the server. If the absolute value of the difference between the two exceeds the specified threshold range, the reported value is updated. Otherwise, it is filtered out, and the data smoothness is calculated according to the rules. The data collection interval is dynamically adjusted according to the data smoothness, which can greatly reduce the collection of redundant data and the traffic consumption of Internet of Things devices. On the server side, the inverse algorithm is used for interpolation and reconstruction to recover the collected data. This method is applied to the developed electricity safety equipment, and the electricity consumption is monitored and collected continuously for 24 h. After filtering by the frequency adaptive algorithm, only 108 pieces of data records are reported for 28,713 pieces of original data, and the compression ratio reaches 99.49%. Compared with other data collection strategies, this method significantly reduces the amount of redundant data collection and the energy consumption of terminal nodes. Furthermore, this method realizes the real-time perception of line data and environmental data through current, residual current, temperature sensor

关键词： Frequency adaptation state monitoring edge computing interpolation algorithm electricity safety

来源：评论

学校读者我要写书评

暂无评论

Research on interpolation algorithms of Digital Storage Oscilloscope 2019

Research on Interpolation Algorithms of Digital Storage Osci...

引用

Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering

作者： Darong Gao Northwest Minzu University Lanzhou China

ISBN: (纸本)9781450376228

Digital storage oscilloscope can only collect a few sample points of signal because of insufficient real-time sampling rate when it works in fast time base gear. In order to reconstruct the signal, interpolation must be carried out. This paper introduces the methods of piecewise linear interpolation and cubic spline interpolation in detail, and compares the recovery results of several different waveforms by programming and simulation, including cubic spline interpolation, piecewise linear interpolation, cubic interpolation and nearest neighbor interpolation, and calculates and analyses the related mean square error. Considering the unknowability and complexity of the actual signal to be measured, and weighing the accuracy and speed, when the number of points to be interpolated is less than 100, the cubic spline interpolation method is used; when the number of points to be interpolated is not less than 100, the cubic interpolation method is used. The simulation results of MATLAB show that all the performance indexes of the design results meet the specified requirements, and the design process is simple and feasible.

关键词： digital storage oscilloscope MATLAB interpolation algorithm

来源：评论

学校读者我要写书评

暂无评论

Sub-pixel Registration and Stitching Technology Based on interpolation and Iterative Optimization algorithm

Sub-pixel Registration and Stitching Technology Based on Int...

引用

第三十九届中国控制会议

作者： Lin Dong Xiangyang Xu Yexiong Shen School of Automation Beijing Institute of Technology

Image stitching is an important branch of image processing, and image stitching technology is widely used in academia and industry. As the previous step of stitching, the accuracy of image registration plays a key role in the process of *** algorithms such as SIFT and Harris are often used for feature extracting and feature matching, but the time complexity is high, at the same time, the extracted feature points are mostly pixel level, the accuracy of which is low. This paper proposes an improved Harris detection algorithm, by introducing bilinear interpolation algorithm, the feature points matching is located to the sub-pixel level;In the image stitching stage, iterative optimization is used to refine perspective transformation matrix. The experimental results show that the sub-pixel registration and stitching technology based on interpolation and iterative optimization greatly reduces the time complexity of feature extraction and effectively improves the accuracy of stitching.

关键词： Image registration Image stitching Sub-pixel interpolation algorithm Iterative optimization

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：