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Detecting interaction/complexitywithin crowd movements using braid entropy Research Papers

Murat AKPULAT, Murat EKİNCİ

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6, Pages 849-861 doi: 10.1631/FITEE.1800313

Abstract:

The segmentation of moving and non-moving regions in an image within the field of crowd analysis isFor this purpose, the flow of motion in the image is primarily represented as a series of trajectories

Keywords： Crowd behavior Motion segmentation Motion entropy Crowd scene analysis Complexity detection Braid entropy

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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4, Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutionalThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage image recognition semantic segmentation feature map visualizations

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Offline motion planning and simulation of two-robot welding coordination

Tie ZHANG, Fan OUYANG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 81-92 doi: 10.1007/s11465-012-0309-4

Abstract: After that, the non master/slave scheme is chosen for the motion planning, the non master/slave scheme

Keywords： complex curve seam two robots coordinated welding motion planning

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5, Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedfusion module that extracts crack features across pixels is designed to improve the edges of crack segmentationFour classic semantic segmentation algorithms (fully convolutional network, pyramid scene parsing networkThe LC-DeepLab can achieve a real-time segmentation of 416 × 416 × 3 defect images with 46.98 f/s and

Keywords： tunnel engineering crack segmentation fast detection DeepLabv3+ feature fusion attention mechanism

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Synthesis of Intermittent-Motion Linkages with Slight Difference in Length Between Links

CHEN Xin-bo, YU Zhen

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1, Pages 76-79 doi: 10.1007/s11465-005-0007-6

Abstract:

The design of intermittent-motion linkages using traditional methods is usually complicated.In this paper, (1) a new method for realizing intermittent motion, using linkages with a slight differencein length between links, is studied; (2) some new types of intermittent-motion linkages and their softwarevisual analysis and design are developed; and (3) influences of some design parameters on intermittent-motionResults confirmed that the theory and the software are useful, making the synthesis of intermittent-motion

Keywords： synthesis useful intermittent intermittent-motion traditional

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Design and modeling of continuum robot based on virtual-center of motion mechanism

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0739-6

Abstract: The flexural virtual-center of motion (VCM) mechanism can be machined integrally, and this way eliminatesFurthermore, the motion performance of the designed continuum robot is evaluated.

Keywords： VCM mechanism continuum robot flexural joint pseudo-rigid body model cable-driven

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Electrical Drive — an Interface Among Information, Power and motion

Ma Xiaoliang

Strategic Study of CAE 2000, Volume 2, Issue 2, Pages 83-86

Abstract:

Electrical drive is an interface among information, power and motion.

Keywords： electrical drive interface information power motion

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Measurement and analysis of typical motion error traces from a circular test

LI Xiaoli, LIU Huanlao

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2, Pages 146-150 doi: 10.1007/s11465-008-0033-2

Abstract: The typical motion errors represented by the corresponding Fourier components can thus be identified.

Keywords： machine compensation direction combination desired efficient

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Floating production storage and offloading systems’ cost and motion performance: A systems thinking application

Rini NISHANTH, Andrew WHYTE, V. John KURIAN

Frontiers of Engineering Management 2018, Volume 5, Issue 3, Pages 357-368 doi: 10.15302/J-FEM-2018022

Abstract: decision-making is charged to align different fit-for-use design specification options’ that address technical-motionCoupled dynamic analysis has been performed to generate FPSO motion in six degrees of freedom using SESAMA parametric study has been conducted by varying wave heights from 4 – 8 m to understand FPSO motionpaper is able to identify explicit factors affecting the choice of FPSO configurations in terms of motion

Keywords： FPSO LCCA spread/turret-mooring DeepC cost motion soft-systems

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Novel probabilistic rolling regular tetrahedron mechanism

Yonghan GUAN, Yan’an YAO, Chao LIU, Ruiming LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2, Pages 363-378 doi: 10.1007/s11465-020-0628-9

Abstract: With recent relevant publications on stochastic motion robots in , , and other journals, research onHowever, theoretical and applied research on stochastic motion in the field of robotics and mechanismsface many challenges due to the uncertainty of stochastic motion.Currently, a large gap remains in the research of stochastic motion mechanism.

Keywords： mobile mechanism probabilistic motion rolling mechanism stochastic motion

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Features of seismic hazard in large dam projects and strong motion monitoring of large dams

Martin WIELAND,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1, Pages 56-64 doi: 10.1007/s11709-010-0005-6

Abstract: Finally, the need for strong motion instrumentation of large dams is discussed.located in areas of high seismicity, and dams showing signs of abnormal behavior be equipped with strong motion

Keywords： seismic hazard arch dam concrete face rockfill dam strong motion instrumentation reservoir-triggered

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords： multi-color space k-nearest neighbor algorithm (k-NN) self-learning surge test

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11, Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: this paper, a large-scale underwater crack examination method is proposed based on image stitching and segmentationthan Fully convolutional networks (FCN), proving that GCN has great potential of application in image segmentation

Keywords： underwater cracks remote operated vehicle image stitching image segmentation graph convolutional

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A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence

Hanli WU, Hua ZHAO, Jenny LIU, Zhentao HU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1232-1246 doi: 10.1007/s11709-020-0653-0

Abstract: Bridge weigh-in-motion (BWIM) system as a high performance and cost-effective technology has been extensively

Keywords： bridge weigh-in-motion continuous bridge fast Fourier transform influence line axle weight calculation

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Vascular segmentation of neuroimages based on a prior shape and local statistics Research Articles

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8, Pages 1099-1108 doi: 10.1631/FITEE.1800129

Abstract: However, most of the vessel segmentation techniques ignore the existence of the isolated and redundantpoints in the segmentation results.In this study, we propose a vascular segmentation method based on a prior shape and local statistics.

Keywords： Vesselness filter Neighborhood Blood-vessel segmentation Outlier