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Kinematic calibration of precise 6-DOF stewart platform-type positioning systems for radio telescope applications

Juan Carlos JáUREGUI, Eusebio E. HERNáNDEZ, Marco CECCARELLI, Carlos LóPEZ-CAJúN, Alejandro GARCíA

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 252-260 doi: 10.1007/s11465-013-0249-7

Abstract:

The pose accuracy of a parallel robot is a function of the mobile platform posture.In the first method, the pose accuracy estimation is calculated by considering the propagation of eachBoth methods can predict pose accuracy of precise robots at design stages, and/or can reduce calibration

Keywords: pose errors     error estimation     parallel robot     radio telescopes    

Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure

Zhe SUN, Cheng ZHANG, Pingbo TANG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 109-121 doi: 10.1007/s42524-019-0084-6

Abstract: Handoffs during such an outage contain interwoven workflows and communication activities that pose challenges

Keywords: NPP outage     human error     team cognition     handoff modeling    

The dynamic correction of collimation errors of CT slicing pictures

LIU Ya-xiong, Sekou Sing-are, LI Di-chen, LU Bing-heng

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 168-172 doi: 10.1007/s11465-006-0016-0

Abstract: To eliminate the motion artifacts of CT images caused by patient motions and other related errors, twoimages, which facilitates in eliminating or decreasing the motion artifacts and correcting other static errorsand image processing errors.

Rotation errors in numerical manifold method and a correction based on large deformation theory

Ning ZHANG, Xu LI, Qinghui JIANG, Xingchao LIN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1036-1053 doi: 10.1007/s11709-019-0535-5

Abstract: Numerical manifold method (NMM) is an effective method for simulating block system, however, significant errorsThree kinds of errors, as volume expansion, stress vibration, and attenuation of angular velocity, wereThe first two kind errors are owing to the small deformation assumption and the last one is due to theblock rotation, beam bending, and rock falling problems and the results prove that all three kinds of errors

Keywords: numerical manifold method     rotation     large deformation     Green strain     open-close iteration    

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Head pose estimation has been considered an important and challenging task in computer vision.In this paper we propose a novel method to estimate head pose based on a deep convolutional neural networkThen two convolutional neural networks are set up to train the head pose classifier and then comparedIt has better performance than state-of-the-art methods for head pose estimation.

Keywords: Head pose estimation     Deep convolutional neural network     Multiclass classification    

Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: prediction, which can help decision makers and system operators anticipate diverse station-level prediction errors

Keywords: bike share systems     demand prediction     prediction errors     machine learning     entropy    

Planet position errors in planetary transmission: Effect on load sharing and transmission error

Miguel IGLESIAS, Alfonso FERNáNDEZ, Ana DE-JUAN, Ramón SANCIBRIáN, Pablo GARCíA

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 1,   Pages 80-87 doi: 10.1007/s11465-013-0362-7

Abstract: transmissions developed by the authors is used to study the influence of carrier planet pin hole position errorsThe influence of carrier planet pin hole position errors on the planet load sharing is studied, and severalTangential and radial planet pin hole position errors are considered independently, and the effect of

Keywords: gear     planetary     epicyclic     transmission     load sharing     transmission error    

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1218-1227 doi: 10.1631/FITEE.1500301

Abstract: We propose a new and efficient algorithm to detect, identify, and correct measurement errors and branchparameter errors of power systems.The method uses three normalized vectors to process errors at each sampling time: normalized measurement

Keywords: Dynamic state estimation     Kalman filter     Measurement errors     Branch parameter errors     Sudden load changes    

Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0729-8

Abstract: Observation and analysis of the simulation and experiment indicate that the tool pose is the same under

Keywords: honeycomb core     straight blade     ultrasonic cutting     tool pose     postprocessor    

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Engineering doi: 10.1016/j.eng.2023.10.004

Abstract: Identifying workers’ construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress. However, current activity analysis methods for construction workers rely solely on manual observations and recordings, which consumes considerable time and has high labor costs. Researchers have focused on monitoring on-site construction activities of workers. However, when multiple workers are working together, current research cannot accurately and automatically identify the construction activity. This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers. In this framework, multiple deep neural network models are designed and used to complete worker key point extraction, worker tracking, and worker construction activity analysis. The designed framework was tested at an actual construction site, and activity recognition for multiple workers was performed, indicating the feasibility of the framework for the automated monitoring of work efficiency.

Keywords: Pose estimation     Activity analysis     Object tracking     Construction workers     Automatic systems    

RFPose-OT: RF-based 3D human pose estimation via optimal transport theory Research Article

Cong YU, Dongheng ZHANG, Zhi WU, Zhi LU, Chunyang XIE, Yang HU, Yan CHEN,congyu@std.uestc.edu.cn,eecyan@ustc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1445-1457 doi: 10.1631/FITEE.2200550

Abstract: difference between the RF signals and the human poses, propose a transformation of the RF signals to the pose

Keywords: Radio frequency sensing     Human pose estimation     Optimal transport     Deep learning    

Unseen head pose prediction using densemultivariate label distribution Project supported by

Gao-li SANG,Hu CHEN,Ge HUANG,Qi-jun ZHAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 516-526 doi: 10.1631/FITEE.1500235

Abstract: However, they focus on estimating continuous head pose angles, and thus do not systematically evaluateIn this paper, we use a dense multivariate label distribution (MLD) to represent the pose angle of aBy incorporating both seen and unseen pose angles into MLD, the head pose predictor can estimate unseenOn the Pointing’04 database, the mean absolute errors of results for yaw and pitch are 4.01 and 2.13experiments on the CAS-PEAL and CMU Multi-PIE databases show that the proposed dense MLD-based head pose

Keywords: Head pose estimation     Dense multivariate label distribution     Sampling intervals     Inconsistent labels    

Path guided motion synthesis for Drosophila larvae Research Article

Junjun CHEN, Yijun WANG, Yixuan SUN, Yifei YU, Zi'ao LIU, Zhefeng GONG, Nenggan ZHENG,1536779079@qq.com,zng@cs.zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1482-1496 doi: 10.1631/FITEE.2200529

Abstract: In this work, we present a large-scale of larvae and propose a motion synthesis model named Path2Poseto generate a pose sequence given the initial poses and the subsequent guiding path.The Path2Pose model is further used to synthesize long pose sequences of various motion patterns throughproves high performance of deep neural networks for mollusk motion synthesis and the feasibility of long pose

Keywords: Motion synthesis of mollusks     Dynamic pose dataset     Morphological analysis     Long pose sequence generation    

A Laser Scanner–Stage Synchronized System Supporting the Large-Area Precision Polishing of Additive-Manufactured Metallic Surfaces Article

Mengjia Cui, Libin Lu, Zhen Zhang, Yingchun Guan

Engineering 2021, Volume 7, Issue 12,   Pages 1732-1740 doi: 10.1016/j.eng.2020.06.028

Abstract: The experimental results show that stitching errors can be avoided thanks to continuous motion duringthe way for high-speed, high-precision, and large-area laser material processing without stitching errors

Keywords: Laser polishing     Stitching errors     Synchronized control system     Additive manufacturing    

Quantum security analysis of a lattice-basedoblivious transfer protocol Article

Mo-meng LIU, Juliane KRÄMER, Yu-pu HU, Johannes BUCHMANN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1348-1369 doi: 10.1631/FITEE.1700039

Abstract: (CRYPTO, 2008), which is universally composably secure under theassumption of learning with errors hardness

Keywords: Oblivious transfer     Post-quantum     Lattice-based     Learning with errors     Universally composable    

Title Author Date Type Operation

Kinematic calibration of precise 6-DOF stewart platform-type positioning systems for radio telescope applications

Juan Carlos JáUREGUI, Eusebio E. HERNáNDEZ, Marco CECCARELLI, Carlos LóPEZ-CAJúN, Alejandro GARCíA

Journal Article

Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure

Zhe SUN, Cheng ZHANG, Pingbo TANG

Journal Article

The dynamic correction of collimation errors of CT slicing pictures

LIU Ya-xiong, Sekou Sing-are, LI Di-chen, LU Bing-heng

Journal Article

Rotation errors in numerical manifold method and a correction based on large deformation theory

Ning ZHANG, Xu LI, Qinghui JIANG, Xingchao LIN

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Planet position errors in planetary transmission: Effect on load sharing and transmission error

Miguel IGLESIAS, Alfonso FERNáNDEZ, Ana DE-JUAN, Ramón SANCIBRIáN, Pablo GARCíA

Journal Article

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Journal Article

Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Journal Article

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Journal Article

RFPose-OT: RF-based 3D human pose estimation via optimal transport theory

Cong YU, Dongheng ZHANG, Zhi WU, Zhi LU, Chunyang XIE, Yang HU, Yan CHEN,congyu@std.uestc.edu.cn,eecyan@ustc.edu.cn

Journal Article

Unseen head pose prediction using densemultivariate label distribution Project supported by

Gao-li SANG,Hu CHEN,Ge HUANG,Qi-jun ZHAO

Journal Article

Path guided motion synthesis for Drosophila larvae

Junjun CHEN, Yijun WANG, Yixuan SUN, Yifei YU, Zi'ao LIU, Zhefeng GONG, Nenggan ZHENG,1536779079@qq.com,zng@cs.zju.edu.cn

Journal Article

A Laser Scanner–Stage Synchronized System Supporting the Large-Area Precision Polishing of Additive-Manufactured Metallic Surfaces

Mengjia Cui, Libin Lu, Zhen Zhang, Yingchun Guan

Journal Article

Quantum security analysis of a lattice-basedoblivious transfer protocol

Mo-meng LIU, Juliane KRÄMER, Yu-pu HU, Johannes BUCHMANN

Journal Article