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Robotized machining of big work pieces: Localization of supporting heads

Wojciech SZYNKIEWICZ, Teresa ZIELIŃSKA, Włodzimierz KASPRZAK

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 357-369 doi: 10.1007/s11465-010-0103-0

Abstract: A planner for a self adaptable and reconfigurable fixture system is proposed. The system is composed of mobile support agents that support thin sheet metal parts to minimize part dimensional deformation during drilling and milling operations. Compliant sheet metal parts are widely used in various manufacturing processes including automotive and aerospace industries. The main role of the planner is to generate an admissible plan of relocation of the mobile agents. It has to find the admissible locations for the supporting heads that provide continuous support in close proximity to the tool and trajectories of the mobile bases characterized by very high speeds during the relocation phases.

Keywords： fixture     robot     milling     drilling    

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Optimal localization of complex surfaces in CAD-based inspection

XU Jinting, LIU Weijun, SUN Yuwen

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 426-433 doi: 10.1007/s11465-008-0068-4

Abstract: Complex surface inspection requires the optimal localization of the measured surface related to the designThis paper presents a new technique for solving the localization problem.The basic approach consists of two steps: 1) rough localization of the measured points to the designsurface based on curvature features, which can produce a good initial estimate for the optimal localization; 2) fine localization based on the least-square principle so that the deviation between the measured

Keywords： deviation     comparison     non-linear     localization     inspection    

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Strain localization analyses of idealized sands in biaxial tests by distinct element method

Mingjing JIANG, Hehua ZHU, Xiumei LI,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 208-222 doi: 10.1007/s11709-010-0025-2

Abstract: This paper presents a numerical investigation on the strain localization of an idealized sand in biaxialexamined to illustrate the link between microscopic and macroscopic variables in the case of strain localizationThe study shows that strain localization of the granular material in the tests proceeds with localizations

Keywords： idealized sand     strain localization     numerical analyses     distinct element method (DEM)    

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Lipin3 leads to hypertriglyceridemia and obesity by disrupting the expression and nucleocytoplasmic localization

Frontiers of Medicine doi: 10.1007/s11684-023-1003-0

Abstract: Lipin proteins including Lipin 1–3 act as transcriptional co-activators and phosphatidic acid phosphohydrolase enzymes, which play crucial roles in lipid metabolism. However, little is known about the function of Lipin3 in triglyceride (TG) metabolism. Here, we identified a novel mutation (NM_001301860: p.1835A>T/p.D612V) of Lipin3 in a large family with hypertriglyceridemia (HTG) and obesity through whole-exome sequencing and Sanger sequencing. Functional studies revealed that the novel variant altered the half-life and stability of the Lipin3 protein. Hence, we generated Lipin3 heterozygous knockout (Lipin3-heKO) mice and cultured primary hepatocytes to explore the pathophysiological roles of Lipin3 in TG metabolism. We found that Lipin3-heKO mice exhibited obvious obesity, HTG, and non-alcoholic fatty liver disorder. Mechanistic study demonstrated that the haploinsufficiency of Lipin3 in primary hepatocytes may induce the overexpression and abnormal distribution of Lipin1 in cytosol and nucleoplasm. The increased expression of Lipin1 in cytosol may contribute to TG anabolism, and the decreased Lipin1 in nucleoplasm can reduce PGC1α, further leading to mitochondrial dysfunction and reduced TG catabolism. Our study suggested that Lipin3 was a novel disease-causing gene inducing obesity and HTG. We also established a relationship between Lipin3 and mitochondrial dysfunction.

Keywords： Lipin3     Lipin1     hypertriglyceridemia     obesity     mitochondrial dysfunction    

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Yield-height correlation and QTL localization for plant height in two lowland switchgrass populations

Shiva O. MAKAJU, Yanqi WU, Michael P. ANDERSON, Vijaya G. KAKANI, Michael W. SMITH, Linglong LIU, Hongxu DONG, Dan CHANG

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 1,   Pages 118-128 doi: 10.15302/J-FASE-2018201

Abstract: Switchgrass ( L.), as a model herbaceous crop species for bioenergy production, is targeted to improve biomass yield and feedstock quality. Plant height is a major component contributing to biomass yield. Accordingly, the objectives of this research were to analyze phenotypic variation for biomass and plant height and the association between them and to localize associated plant height QTLs. Two lowland switchgrass mapping populations, one selfed and another hybrid population established in the field at Perkins and Stillwater, Oklahoma, were deployed in the experiment for two years post establishment. Large genetic variation existed for plant biomass and height within the two populations. Plant height was positively correlated with biomass yield in the selfed population ( = 0.39, <0.0001) and the hybrid population ( = 0.41, <0.0001). In the selfed population, a joint analysis across all environments revealed 10 QTLs and separate analysis for each environment, collectively revealed 39 QTLs related to plant height. In the hybrid population, the joint analysis across overall environments revealed 35 QTLs and the separate analysis for each environment revealed 38 QTLs. The findings of this research contribute new information about the genetic control for plant height and will be useful for future plant breeding and genetic improvement programs in lowland switchgrass.

Keywords： yield-height     QTL localization     lowland switchgrass    

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A Method for License Plate Localization based on Texture and Wavelet Analysis

Huang Wei,Lu Xiaobo,Yu Yanxiang,Ling Xiaojing

Strategic Study of CAE 2004, Volume 6, Issue 3,   Pages 19-24

Abstract:

This paper presents a method for vehicle license plate localization using texture and wavelet analysisA test shows that the proposed method offers a localization correctness rate of higher than 96% .

Keywords： texture     wavelet analysis     primitive     license plate localization    

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Passive source localization using importance sampling based on TOA and FOA measurements Article

Rui-rui LIU, Yun-long WANG, Jie-xin YIN, Ding WANG, Ying WU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1167-1179 doi: 10.1631/FITEE.1601657

Abstract: Passive source localization via a maximum likelihood (ML) estimator can achieve a high accuracy but involves

Keywords： Passive source localization     Time of arrival (TOA)     Frequency of arrival (FOA)     Monte Carlo importance    

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Visual-feature-assisted mobile robot localization in a long corridor environment Research Article

Gengyu GE, Yi ZHANG, Wei WANG, Lihe HU, Yang WANG, Qin JIANG,gegengyu_2021@163.com,zhangyi@cqupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 876-889 doi: 10.1631/FITEE.2200208

Abstract: plays a vital role in the navigation system and is a fundamental capability for autonomous movement. In an indoor environment, the current mainstream scheme uses two-dimensional (2D) laser light detection and ranging (LiDAR) to build an occupancy grid map with simultaneous and mapping (SLAM) technology; it then locates the robot based on the known grid map. However, such solutions work effectively only in those areas with salient geometrical features. For areas with repeated, symmetrical, or similar structures, such as a long corridor, the conventional ing method will fail. To solve this crucial problem, this paper presents a novel coarse-to-fine paradigm that uses to assist in a long corridor. First, the is remote-controlled to move from the starting position to the end along a middle line. In the moving process, a grid map is built using the laser-based SLAM method. At the same time, a visual map consisting of special images which are keyframes is created according to a keyframe selection strategy. The keyframes are associated with the robot’s poses through timestamps. Second, a moving strategy is proposed, based on the extracted range features of the laser scans, to decide on an initial rough position. This is vital for the because it gives instructions on where the robot needs to move to adjust its pose. Third, the captures images in a proper perspective according to the moving strategy and matches them with the image map to achieve a coarse . Finally, an improved ing method is presented to achieve fine . Experimental results show that our method is effective and robust for global . The success rate reaches 98.8% while the average moving distance is only 0.31 m. In addition, the method works well when the is kidnapped to another position in the corridor.

Keywords： Mobile robot     Localization     Simultaneous localization and mapping (SLAM)     Corridor environment     Particle    

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Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA Research Article

Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU,wxu@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 164-175 doi: 10.1631/FITEE.2100398

Abstract: The inhomogeneity of water leads to bending of sound rays, making the existing localization algorithmsBased on the derived gradient of the signal's Doppler shift at the sensor node, a novel underwater node localizationOverall, accurate and reliable node localization can be achieved.

Keywords： Underwater acoustic sensor network     Acoustic localization     Sound speed profile     Time difference of arrival    

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Analyzing the Effect of the Intra-Pixel Position of Small PSFs for Optimizing the PL of Optical Subpixel Localization Article

Haiyang Zhan, Fei Xing, Jingyu Bao, Ting Sun, Zhenzhen Chen, Zheng You, Li Yuan

Engineering 2023, Volume 27, Issue 8,   Pages 140-149 doi: 10.1016/j.eng.2023.03.009

Abstract:

Subpixel localization techniques for estimating the positions of point-like images captured by pixelatedHere, we develop a localization precision limit analysis framework for revealing the effect of the intra-pixelway for thoroughly understanding and achieving the final optimum of the precision limit in optical localization

Keywords： Optical measurement     Subpixel localization     Precision limit optimization     Small point spread functions    

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Ahigh precision visual localization sensor and its workingmethodology for an indoor mobile robot

Feng-yu ZHOU,Xian-feng YUAN,Yang YANG,Zhi-fei JIANG,Chen-lei ZHOU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 365-374 doi: 10.1631/FITEE.1500272

Abstract: To overcome the shortcomings of existing robot localization sensors, such as low accuracy and poor robustness, a high precision visual localization system based on infrared-reflective artificial markers is designedFirst, the hardware system of the localization sensor is developed.The precision of the sensor is ±1.94 cm for position localization and ±1.64?for angle localization.

Keywords： Mobile robot     Localization sensor     Visual localization     Infrared-reflective marker     Embedded system    

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Conjugation with Acridines Turns Nuclear Localization Sequence into Highly Active Antimicrobial Peptide Artical

Wei Zhang,Xiaoli Yang,Jingjing Song,Xin Zheng,Jianbo Chen,Panpan Ma,Bangzhi Zhang,Rui Wang

Engineering 2015, Volume 1, Issue 4,   Pages 500-505 doi: 10.15302/J-ENG-2015106

Abstract: antimicrobial agent, Acr3-NLS, by conjugating hydrophobic acridines to the N-terminus of a nuclear localization

Keywords： acridine     nuclear localization sequence     conjugate     antimicrobial activity     mechanism of action    

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Energy-efficient localization and target tracking via underwater mobile sensor networks None

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 8,   Pages 999-1012 doi: 10.1631/FITEE.1700598

Abstract: Target tracking, whose performance depends on sensor localization accuracy, is one of the broad applicationsWe propose a high-accuracy localization with mobility prediction (HLMP) algorithm to acquire relativelySimulation results demonstrate that the HLMP algorithm can improve localization accuracy significantlywith low energy consumption and that the SLAT algorithm can further decrease the sensor localizationIn addition, results prove that a better localization accuracy will synchronously improve the target

Keywords： Underwater mobile sensor networks     Energy-efficient     Sensor localization     Target tracking    

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Avision-centeredmulti-sensor fusing approach to self-localization and obstacle perception for robotic Article

Jian-ru XUE,Di WANG,Shao-yi DU,Di-xiao CUI,Yong HUANG,Nan-ning ZHENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 122-138 doi: 10.1631/FITEE.1601873

Abstract: Most state-of-the-art robotic cars’ perception systems are quite different from the way a human driver understands traffic environments. First, humans assimilate information from the traffic scene mainly through visual perception, while the machine perception of traffic environments needs to fuse information from several different kinds of sensors to meet safety-critical requirements. Second, a robotic car requires nearly 100% correct perception results for its autonomous driving, while an experienced human driver works well with dynamic traffic environments, in which machine perception could easily produce noisy perception results. In this paper, we propose a vision-centered multi-sensor fusing framework for a traffic environment perception approach to autonomous driving, which fuses camera, LIDAR, and GIS information consistently via both geometrical and semantic constraints for efficient selflocalization and obstacle perception. We also discuss robust machine vision algorithms that have been successfully integrated with the framework and address multiple levels of machine vision techniques, from collecting training data, efficiently processing sensor data, and extracting low-level features, to higher-level object and environment mapping. The proposed framework has been tested extensively in actual urban scenes with our self-developed robotic cars for eight years. The empirical results validate its robustness and efficiency.

Keywords： Visual perception     Self-localization     Mapping     Motion planning     Robotic car    

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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: Therefore, the detection and localization of leakages is a crucial task for maintenance and condition

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis    

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Title Author Date Type Operation

Robotized machining of big work pieces: Localization of supporting heads

Wojciech SZYNKIEWICZ, Teresa ZIELIŃSKA, Włodzimierz KASPRZAK

Journal Article

Optimal localization of complex surfaces in CAD-based inspection

XU Jinting, LIU Weijun, SUN Yuwen

Journal Article

Strain localization analyses of idealized sands in biaxial tests by distinct element method

Mingjing JIANG, Hehua ZHU, Xiumei LI,

Journal Article

Lipin3 leads to hypertriglyceridemia and obesity by disrupting the expression and nucleocytoplasmic localization

Journal Article

Yield-height correlation and QTL localization for plant height in two lowland switchgrass populations

Shiva O. MAKAJU, Yanqi WU, Michael P. ANDERSON, Vijaya G. KAKANI, Michael W. SMITH, Linglong LIU, Hongxu DONG, Dan CHANG

Journal Article

A Method for License Plate Localization based on Texture and Wavelet Analysis

Huang Wei,Lu Xiaobo,Yu Yanxiang,Ling Xiaojing

Journal Article

Passive source localization using importance sampling based on TOA and FOA measurements

Rui-rui LIU, Yun-long WANG, Jie-xin YIN, Ding WANG, Ying WU

Journal Article

Visual-feature-assisted mobile robot localization in a long corridor environment

Gengyu GE, Yi ZHANG, Wei WANG, Lihe HU, Yang WANG, Qin JIANG,gegengyu_2021@163.com,zhangyi@cqupt.edu.cn

Journal Article

Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA

Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU,wxu@zju.edu.cn

Journal Article

Analyzing the Effect of the Intra-Pixel Position of Small PSFs for Optimizing the PL of Optical Subpixel Localization

Haiyang Zhan, Fei Xing, Jingyu Bao, Ting Sun, Zhenzhen Chen, Zheng You, Li Yuan

Journal Article

Ahigh precision visual localization sensor and its workingmethodology for an indoor mobile robot

Feng-yu ZHOU,Xian-feng YUAN,Yang YANG,Zhi-fei JIANG,Chen-lei ZHOU

Journal Article

Conjugation with Acridines Turns Nuclear Localization Sequence into Highly Active Antimicrobial Peptide

Wei Zhang,Xiaoli Yang,Jingjing Song,Xin Zheng,Jianbo Chen,Panpan Ma,Bangzhi Zhang,Rui Wang

Journal Article

Energy-efficient localization and target tracking via underwater mobile sensor networks

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG

Journal Article

Avision-centeredmulti-sensor fusing approach to self-localization and obstacle perception for robotic

Jian-ru XUE,Di WANG,Shao-yi DU,Di-xiao CUI,Yong HUANG,Nan-ning ZHENG

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Journal Article