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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    

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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    

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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    

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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: Accurate head poses are useful for many face-related tasks such as face recognition, gaze estimation,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 unseenestimation method can obtain the state-of-the-art performance when compared to some existing methods

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

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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    

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: results proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords： artificial intelligence     power distribution control     state estimation    

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An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: the mathematical model of the electricity-gas interconnected integrated energy system and its state estimationFinally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energymethod are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian relaxationBesides, compared with the centralized estimation method, the proposed distributed method saves 5.42

Keywords： integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

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Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract:

Residual life estimation is essential for reliability engineering.effectiveness and practicability of the proposed method are validated by comparing it with residual life estimation

Keywords： residual life estimation     Bayes model     linear Wiener process    

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Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 167-171 doi: 10.1007/s11705-009-0006-y

Abstract: The thermal degradation behaviors of polycarbonate/polymethylphenylsilsesquioxane (FRPC) composites were investigated by thermogravimetric analysis (TGA) under isothermal conditions in nitrogen atmosphere. The isothermal kinetics equation was used to describe the thermal degradation process. The results showed that activation energy ( ), in the case of isothermal degradation, was a quick increasing function of conversion (α) for polycarbonate (PC) but was a strong and decreasing function of conversion for FRPC. Under the isothermal condition, the addition of polymethylphenylsilsesquioxane (PMPSQ) retardanted the thermal degradation and enhanced the thermal stability of PC during the early and middle stages of thermal degradation. It also indicated a possible existence of a difference in nucleation, nuclei growth, and gas diffusion mechanism in the thermal degradation process between PC and FRPC. Meanwhile, the addition of PMPSQ influenced the lifetime of PC, but the composite still met the demand in manufacturing and application.

Keywords： polycarbonate     polymethylphenylsilsesquioxane     thermal degradation kinetics     activation energy     lifetime    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and driveSecondly, a coordination estimation method is further applied to identify the parameters of the DFIGand the drive train simultaneously with the purpose of attaining the global optimal estimation resultsThe main benefit of the proposed scheme is the improved estimation accuracy.Estimation results confirm the applicability of the proposed estimation technique.

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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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    

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Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 877-886 doi: 10.1007/s11684-021-0863-4

Abstract: Proline-rich transmembrane protein 2 (PRRT2) is the leading cause of paroxysmal kinesigenic dyskinesia (PKD), benign familial infantile epilepsy (BFIE), and infantile convulsions with choreoathetosis (ICCA). Reduced penetrance of PRRT2 has been observed in previous studies, whereas the exact penetrance has not been evaluated well. The objective of this study was to estimate the penetrance of PRRT2 and determine its influencing factors. We screened 222 PKD index patients and their available relatives, identified 39 families with pathogenic or likely pathogenic (P/LP) PRRT2 variants via Sanger sequencing, and obtained 184 PKD/BFIE/ICCA families with P/LP PRRT2 variants from the literature. Penetrance was estimated as the proportion of affected variant carriers. PRRT2 penetrance estimate was 77.6% (95% confidence interval (CI) 74.5%–80.7%) in relatives and 74.5% (95% CI 70.2%–78.8%) in obligate carriers. In addition, we first observed that penetrance was higher in truncated than in non-truncated variants (75.8% versus 50.0%, P = 0.01), higher in Asian than in Caucasian carriers (81.5% versus 68.5%, P = 0.004), and exhibited no difference in gender or parental transmission. Our results are meaningful for genetic counseling, implying that approximately three-quarters of PRRT2 variant carriers will develop PRRT2-related disorders, with patients from Asia or carrying truncated variants at a higher risk.

Keywords： penetrance     PRRT2     paroxysmal kinesigenic dyskinesia     infantile convulsions    

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Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 383-399 doi: 10.1007/s11708-017-0505-3

Abstract: Prediction of solar radiation has drawn increasing attention in the recent years. This is because of the lack of solar radiation measurement stations. In the present work, 14 solar radiation models have been used to assess monthly global solar radiation on a horizontal surface as function of three parameters: extraterrestrial solar irradiance ( ), duration sunshine ( ) and daylight hours ( ). Since it has been observed that each model is adequate for some months of the year, one model cannot be used for the prediction of the whole year. Therefore, a smart hybrid system is proposed which selects, based on the intelligent rules, the most suitable prediction model of the 14 models listed in this study. For the test and evaluation of the proposed models, Tamanrasset city, which is located in the south of Algeria, is selected for this study. The meteorological data sets of five years (2000–2004) have been collected from the Algerian National Office of Meteorology (NOM), and two spatial databases. The results indicate that the new hybrid model is capable of predicting the monthly global solar radiation, which offers an excellent measuring accuracy of values ranging from 93% to 97% in this location.

Keywords： global solar radiation     statistical indicator     hybrid model     spatial database     correlation coefficients    

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A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0006-x

Abstract: A frequency error estimation is presented for the isogeometric free vibration analysis of Kirchhoff–Love

Keywords： isogeometric analysis     Kirchhoff–Love cylindrical shell     free vibration     frequency error     convergence    

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Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems Article

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 841-849 doi: 10.1631/FITEE.1700025

Abstract: We propose a novel method for joint two-dimensional (2D) direction-of-arrival (DOA) and channel estimationThe conventional DOA estimation algorithms usually assume that the channel impulse responses are knownIn contrast, a joint DOA and channel estimation scheme is proposed, which first estimates the channel

Keywords： Two-dimensional (2D) direction-of-arrival (DOA) estimation     Channel impulse response estimation     Data    

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Title Author Date Type Operation

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

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

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

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Journal Article

Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

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

Journal Article

Penetrance estimation of variants in paroxysmal kinesigenic dyskinesia and infantile convulsions

Journal Article

Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Journal Article

A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells

Journal Article

Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Journal Article