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Development of Volumetric Accuracy Enhancement Method for a 5-Axis Machine Tool Based on Sensitivity Analysis and extraction algorithm

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INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 2025年 1-17页

作者： Kim, Sungtae Kim, Yangjin Jeon, Heung Ki Jang, Tae Soo Lee, Chang Ho Sugita, Naohiko Pusan Natl Univ Sch Mech Engn 2 Busandaehak Ro 63beon Gil Busan 46241 South Korea DN Solut 40 Jeongdong Ro 162 Beon Gil Chang Won 51537 Gyeongsangnam D South Korea Univ Tokyo Dept Mech Engn 7-3-1 HongoBunkyo Ku Tokyo 1138656 Japan

With advancements in high-tech industries, such as aerospace, semiconductor, and medical applications, along with electric vehicles, the design of machine parts used in these industries has become extremely complicated, and the required geometric accuracy has been rapidly refined. To achieve the accuracy requirements, the necessity of 5-axis machine tools has been rising owing to their orientation flexibility between the cutting tool and workpiece through the rotational axes. When manufacturing machine parts using a 5-axis machine tool, the geometric accuracy of the machine parts can be degraded by a discrepancy between the cutting tool and workpiece, that is, volumetric error. This study develops a volumetric accuracy enhancement method by combining sensitivity analysis and an extraction algorithm to minimize and control the volumetric error. First, to formulate the discrepancy between the cutting tool and workpiece, volumetric error modeling is performed based on rigid-body kinematics and a homogeneous transformation matrix. Subsequently, a sensitivity analysis is developed to quantify the influence of kinematic errors and identify critical kinematic errors on volumetric error. And then, an extraction algorithm is developed to extract the kinematic errors occurring in the target machine using the transformation error and eight measurement data obtained by a single measurement setup. Finally, utilizing an R-test, the validity of the volumetric accuracy enhancement method is verified through a comparison of volumetric errors before and after compensation. Compared to existing method, the proposed method demonstrated superior compensation performance, reducing the volumetric error from approximately 25 to 12 mm.

关键词： 5-axis machine tool extraction algorithm Kinematic error R-test Sensitivity analysis Volumetric error

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RESEARCH ON FEATURE extraction algorithm OF OIL PAINTING ARTISTIC STYLE BASED ON EMOTIONAL EXPRESSION

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SURFACE REVIEW AND LETTERS 2024年第0期

作者： Huang, Xianhui Xiao, Banruo Zhong, Xingyu Wang, Yi South China Normal Univ Sch Fine Art Guangzhou 510632 Peoples R China South China Normal Univ Artificial Intelligence Inst Guangzhou 511400 Peoples R China

We present a novel approach to extracting artistic style features from oil paintings, addressing the limitations of existing one-way matrices. Our proposed algorithm focuses on capturing emotional expression in oil painting styles. To ensure relevance to real-world needs and standards, we establish a multi-objective framework with a set of indicators and parameters for fundamental oil painting artistic style extraction. This expansion of the feature extraction calculation range involves the creation of a multi-objective calculation matrix and the development of a pyramid sequence and extraction algorithm for conveying emotional expression. By leveraging local constraints specific to oil paintings, our method effectively extracts artistic style features. The results of our tests, which involved five oil paintings, demonstrate the effectiveness of our approach. By applying the Artistic Style Feature extraction (ASFE) algorithm based on emotional expression, we successfully control the differences in oil painting texture depth within a range of 0.65. This indicates a high level of authenticity and accuracy in our algorithm, superior calculation performance, and practical utility for various applications.

关键词： Emotional expression oil painting art style characteristics extraction algorithm algorithm design artistic transformation

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Multipixel image fuzzy edge extraction algorithm based on geometric algebra

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JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES 2023年第4期16卷

作者： Hou, Maowen Tongling Univ Sch Math & Comp Sci Tongling 244061 Peoples R China

The traditional image edge extraction algorithm does not integrate the RGB and HSV spatial geometric features effectively, resulting in large errors and long computing time. Therefore, a fuzzy edge extraction algorithm based on geometric algebra for multi-pixel images is proposed and its effectiveness and superiority are verified. The experimental results show that the model has excellent performance in the prediction, the lowest prediction error is 1.21%, the average accuracy is 91.23%, the recall rate is 90.506%, and the F1 value is 90.78%. At the same time, the false positive rate is only 5.48%, showing more accurate error control ability. Overall, the method proposed in this study is of great significance to the field of image edge extraction and can promote the development and progress of related fields.

关键词： Geometric algebra Image fusion expression Multi pixel image Blurred edges extraction algorithm

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ANALYSIS OF VISUAL NAVIGATION extraction algorithm OF FARM ROBOT BASED ON DARK PRIMARY COLOUR

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INMATEH-AGRICULTURAL ENGINEERING 2020年第3期62卷 219-228页

作者： Hou, Zhongkun Sichuan Coll Architectural Technol Dept Mechatron & Informat Engn Deyang City Sichuan Peoples R China

With the development of information technology, precision agriculture has also ushered in new development prospects. The use of farm robots to accurately identify the navigation path is of great significance for achieving accurate positioning of agriculture. In this study, when analysing the extraction algorithm of farm robot visual navigation based on dark primary colours, a method for pre-processing and edge detection of farmland images based on dark primary colours is proposed. At the same time, the least square method of linear fitting is used for the navigation path of agricultural robot, and then the fitting program is executed. On this basis, combined with the actual situation of outdoor farming and greenhouse cultivation of crops, the effectiveness of the robotic visual navigation extraction algorithm was verified. The research results show that for any form of farmland cultivation, image extraction technology based on dark primary colours can effectively distinguish between soil and crops, and the visual navigation path of farm robots fitted with least squares is basically linear, which is consistent with the commonly used crops for farm planting. The legal route is basically the same, and then the effectiveness of the extraction algorithm is verified. It is hoped that this study will provide a certain reference and reference for the analysis of the field navigation robot visual navigation extraction algorithm based on dark primary colours.

关键词： dark primary colours farmland robot visual navigation extraction algorithm

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An automatic extraction algorithm of high voltage transmission lines from airborne LIDAR point cloud data

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2018年第4期26卷 2043-2055页

作者： Shen, Xiaojun Qin, Chuan Du, Yong Yu, Xinle Zhang, Rui Tongji Univ Dept Elect Engn Shanghai Peoples R China State Grid Hubei Elect Power Co Maintenance Co Wuhan Hubei Peoples R China

To improve the effectiveness and generality of existing methods of high voltage (HV) transmission lines extraction, this paper proposes a novel automatic extraction method of HV transmission lines using airborne LIDAR point cloud data by incorporating the geography of transmission corridors and the distribution characteristics of airborne LIDAR point cloud data. The proposed method results in the separation of ground objects by using a differentiation height threshold segmentation algorithm based on subspace features, which divide long-distance space into several small-distance space sets to improve the generality of the algorithm. A height density segmentation algorithm is used to locate transmission towers and extract point cloud data of HV transmission lines to improve the efficiency of the algorithm. Feasibility test cases show that the proposed method can automatically extract HV transmission lines from airborne LIDAR point cloud data in flat terrains, canyon terrains, and steep slope terrains in an efficient manner, with high accuracy and generality.

关键词： Transmission line airborne LIDAR point cloud data extraction algorithm

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Efficient extraction algorithm of local fuzzy feature of dynamic images

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JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY 2018年第2期21卷 277-282页

作者： Liu, Bing Chen, Qiang Xiao, Wanwu Dazhou Vocat & Tech Coll Dept Publ Affairs Dazhou 635001 Peoples R China Southwest Univ Coll Comp & Informat Sci Chongqing 400715 Peoples R China Sichuan Minzu Coll Sch Phys Educ Kangding 626000 Peoples R China

The traditional local fuzzy feature algorithm of dynamic image is based on a single threshold to set the filter value, so it is difficult to establish an effective filtering model for the local fuzzy interference, which results in a large deviation of feature extraction. Thus, in this paper, a local fuzzy feature extraction algorithm of dynamic images for resisting clutter interference is proposed. Firstly, the gray enhancement model is set up, and the dynamic image is enhanced. Then, the least square method is introduced to realize the local fuzzy feature extraction of the dynamic image in the clutter interference environment. Experimental results show that the proposed algorithm can effectively improve the accuracy of local fuzzy feature extraction of the dynamic image.

关键词： Dynamic image Local fuzzy Efficient extraction algorithm

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Application Research of extraction algorithm of Image Feature Information in Intelligent Video Monitor

Application Research of Extraction Algorithm of Image Featur...

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2018 4th World Conference on Control, Electronics and Computer Engineering (WCCECE 2018)

作者： Haoyin Lv School of Information Engineering Longdong University

With the help of the powerful data processing function of the computer,the intelligent video monitoring can analyze the massive data and extract the valuable information of the *** extraction algorithm of image feature information in intelligent video surveillance is a hot and difficult problem in the field of image *** paper analyzes the differential structure of image,the basic flow,the algorithm principle and the algorithm connotation of image feature extraction in intelligent video to provide some references for the related researchers.

关键词： extraction algorithm Image feature information Intelligent video monitor

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Automatic extraction algorithm of Lip Contour Based on YIQ Chroma Space 8

Automatic Extraction Algorithm of Lip Contour Based on YIQ C...

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8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Meng, Yingjie Cui, Sanshuai Wang, Jiadian Teng, Xiaoyu Liu, Wenbin Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China

ISBN: (纸本)9781538604977

The existing lip contour extraction algorithms have the shortcomings of weak universal, high complex, manual participation, poor characterization, large lip information loss. A lip contour extraction strategy was investigated by analyzing and comparing these algorithms. The model of this strategy is constructed and the implementation algorithm is given. Firstly, in YIQ chroma space, we remove the noise such as skin, teeth, and beard, according to the chroma distribution of component Q. Next, combining with the brightness distribution of lip pixels, too dark and too bright pixels are filtered out. Then, we can get the lip contour image. The proposed algorithm is analyzed and validated in many aspects. The results show that this algorithm has high validity and practicability.

关键词： lip contour extraction algorithm YIQ chroma space chroma distribution

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Automatic extraction algorithm of Lip Contour Based on YIQ Chroma Space

Automatic Extraction Algorithm of Lip Contour Based on YIQ C...

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2017 IEEE 8th International Conference on Software Engineering and Service Science

作者： Yingjie Meng Sanshuai Cui Jiadian Wang Xiaoyu Teng Wenbin Liu School of Information Science & Engineering Lanzhou University

The existing lip contour extraction algorithms have the shortcomings of weak universal, high complex, manual participation, poor characterization, large lip information loss.A lip contour extraction strategy was investigated by analyzing and comparing these algorithms. The model of this strategy is constructed and the implementation algorithm is given. Firstly,in YIQ chroma space, we remove the noise such as skin, teeth,and beard, according to the chroma distribution of component Q. Next, combining with the brightness distribution of lip pixels, too dark and too bright pixels are filtered out. Then, we can get the lip contour image. The proposed algorithm is analyzed and validated in many aspects. The results show that this algorithm has high validity and practicability.

关键词： lip contour extraction algorithm YIQ chroma space chroma distribution

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extraction algorithm of Symmetrical Components for Controlling Static Converters of Electric Energy 16

Extraction Algorithm of Symmetrical Components for Controlli...

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16th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices

作者： Smirnov, Pavel N. Kharitonov, Sergey A. Preobrajensky, Evgeniy B. Novosibirsk Tech Univ Novosibirsk Russia

ISBN: (纸本)9781467367196

in this paper extraction algorithm of symmetrical components for controlling static converters of electric energy using the digital Hilbert filter are considered. An implementing method of this algorithm for control system of static converters of electric energy is offered. The simulation of the three-phase voltage inverter is performed.

关键词： extraction algorithm Hilbert filter synthesis of filter converter positive negative zero sequence voltage inverter

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