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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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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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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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Fast and accurate extraction algorithm for center of cross-line based on two windows scanning

Fast and accurate extraction algorithm for center of cross-l...

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Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis

作者： Chen, Zhibin Qin, Mengze Song, Yan Xiao, Wenjian Ordnance Engn Coll Inst Ordnance Technol Shijiazhuang 050000 Peoples R China

ISBN: (纸本)9781628419009

Multi-spectral integration target consists of collimator, lighting and target plate with cross-line and four-bar target. The high brightness image of four-bar target and stray light have a serious impact on the auto extraction for center of cross-line when do the optical axis parallelism on-line test using the multi-spectral target. To solve the problem, a fast and accurate extraction algorithm for center of cross-line based on two windows scanning was proposed. Firstly, using thresholding techniques get rid of the low brightness stray light. Then, using two windows scanning method get rid of the image of high brightness four-bar target and get the cross-line area. Lastly, according to the results to find the corresponding area in the gray-scale map of the original image, using energy accumulation method find the extreme point of energy. The value of x-axis and y-axis is the position of the center of cross-line. The results show that the algorithm is fast and accurate and can realize the extraction for center of cross-line under the influence of the high brightness four-bar target and stray light.

关键词： Multi-spectral optical axis parallelism Two windows scanning extraction algorithm

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An extraction algorithm for Voice Signal Feature Based on Multifractal Analysis

An Extraction Algorithm for Voice Signal Feature Based on Mu...

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International Conference on Materials Science and Engineering Science

作者： Li, Dahui Diao, Ming Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Peoples R China

ISBN: (纸本)9783037850169

This paper utilizes the multiple fractal theories to define the box dimension and the multiple fractal dimensions, and realizes the feature of voice signal. Then it designs an extraction algorithm for voice signal feature. The result shows, the multifractal method is better than sole fractal method and it may be the characteristic parameter of the voice recognition.

关键词： Voice Signal Multifractal Analysis extraction algorithm

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A Sensitive Data extraction algorithm Based on the Content Associated Encryption Technology for ICS

A Sensitive Data Extraction Algorithm Based on the Content A...

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International Workshop on Information Storage / 9th International Symposium on Optical Storage

作者： Wang Wei Huang Hao Xie Changsheng Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China

ISBN: (纸本)9780819495853

With the development of HD video, the protection of copyright becomes more complicated. More advanced copyright protection technology is needed. Traditional digital copyright protection technology generally uses direct or selective encryption algorithm and the key does not associate with the video content [1]. Once the encryption method is cracked or the key is stolen, the copyright of the video will be violated. To address this issue, this paper proposes a Sensitive Data extraction algorithm (SDEA) based on the content associated encryption technology which applies to the Internet Certification Service (ICS). The principle of content associated encryption is to extract some data from the video and use this extracted data as the key to encrypt the rest data. The extracted part from video is called sensitive data, and the rest part is called the main data. After extraction, the main data will not be played or poorly played. The encrypted sensitive data reach the terminal device through the safety certificated network and the main data are through ICS disc. The terminal equipments are responsible for synthesizing and playing these two parts of data. Consequently, even if the main data on disc is illegally obtained, the video cannot be played normally due to the lack of necessary sensitive data. It is proved by experiments that ICS using SDEA can destruct the video effectively with 0.25% extraction rates and the destructed video cannot be played well. It can also guarantee the consistency of the destructive effect on different videos with different contents. The sensitive data can be transported smoothly under the home Internet bandwidth.

关键词： content associated sensitive data extraction algorithm Logistic Chaotic Mapping encryption

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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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An extraction algorithm for Image Edge Based on Multifractal Analysis

An Extraction Algorithm for Image Edge Based on Multifractal...

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International Conference on Materials Science and Engineering Science

作者： Li Dahui Diao Ming Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China

ISBN: (纸本)9783037850169

In the paper, the first introduced multifractal features of image, and defined some measures;then described procedures of the edge extraction algorithm;the final analyses the results of experiment and selection criteria commonly used in multifractal, proposing a different multiple fractal image, the algorithm has excellent effect on edge extraction, highlights the detail information of the main edge.

关键词： Multifractal Analysis extraction algorithm Image Edge

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HTML extraction algorithm Based on Property and Data Cell

HTML Extraction Algorithm Based on Property and Data Cell

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International Conference on Manufacturing, Optimization, Industrial and Material Engineering (MOIME)

作者： Purnamasari, Detty Wicaksana, I. Wayan Simri Harmanto, Suryadi Banowosari, Lintang Yuniar Information Technology Gunadarma University Pondok Cina Depok Jl. Margonda Raya No. 100 Indonesia Information Management Gunadarma University Pondok Cina Depok Jl. Margonda Raya No. 100 Indonesia

The data available on the Internet is in various models and formats. One form of data representation is a table. Tables extraction is used in process more than one table on the Internet from different sources. Currently the effort is done by using copy-paste that is not automatic process. This article presents an approach to prepare the area, so tables in HTML format can be extracted and converted into a database that make easier to combine the data from many resources. This article was tested on the algorithm 1 used to determine the actual number of columns and rows of the table, as well as algorithm 2 are used to determine the boundary line of the property. Tests conducted at 100 tabular HTML format, and the test results provide the accuracy of the algorithm 1 is 99.9% and the accuracy of the algorithm 2 is 84%.

关键词： extraction algorithm html table extraction table property

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