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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    

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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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State identification of home appliance with transient features in residential buildings

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 130-143 doi: 10.1007/s11708-022-0822-z

Abstract: The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for

Keywords： load disaggregation     Kalman filtering     factorial hidden Markov model (FHMM)     Labeled hIgh-Frequency daTaset    

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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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A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1066-1082 doi: 10.1007/s11709-020-0651-2

Abstract: A constrained back propagation neural network (C-BPNN) model for standard penetration test based soil liquefaction assessment with global applicability is developed, incorporating existing knowledge for liquefaction triggering mechanism and empirical relationships. For its development and validation, a comprehensive liquefaction data set is compiled, covering more than 600 liquefaction sites from 36 earthquakes in 10 countries over 50 years with 13 complete information entries. The C-BPNN model design procedure for liquefaction assessment is established by considering appropriate constraints, input data selection, and computation and calibration procedures. Existing empirical relationships for overburden correction and fines content adjustment are shown to be able to improve the prediction success rate of the neural network model, and are thus adopted as constraints for the C-BPNN model. The effectiveness of the C-BPNN method is validated using the liquefaction data set and compared with that of several liquefaction assessment methods currently adopted in engineering practice. The C-BPNN liquefaction model is shown to have improved prediction accuracy and high global adaptability.

Keywords： soil liquefaction assessment     case history dataset     constrained neural network model     existing knowledge    

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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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Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1451-1478 doi: 10.1631/FITEE.2100569

Abstract:

For optimal results, retrieving a relevant feature from a has become a hot topic for researchers involved in the study of (FS) techniques. The aim of this review is to provide a thorough description of various, recent FS techniques. This review also focuses on the techniques proposed for s to work on multiclass classification problems and on different ways to enhance the performance of learning algorithms. We attempt to understand and resolve the imbalance problem of datasets to substantiate the work of researchers working on s. An analysis of the literature paves the way for comprehending and highlighting the multitude of challenges and issues in finding the optimal feature subset using various FS techniques. A case study is provided to demonstrate the process of implementation, in which three microarray cancer datasets are used to evaluate the classification accuracy and convergence ability of several wrappers and hybrid algorithms to identify the optimal feature subset.

Keywords： Feature selection     High dimensionality     Learning techniques     Microarray dataset    

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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: 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 unseenexperiments 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    

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Numerical analysis of nonlinear dynamic behavior of earth dams

Babak EBRAHIMIAN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 24-40 doi: 10.1007/s11709-010-0082-6

Abstract: A numerical study is conducted to investigate the dynamic behavior of earth dams.The numerical investigation employs a fully nonlinear dynamic finite difference analysis incorporatingcharacteristics, soil behavior, strength of the shell materials and dam reservoir condition on the dynamic

Keywords： earth dam     numerical     nonlinear response     dynamic analysis     earthquake     dam height    

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Construction of interfacial dynamic bonds for high performance lignin/polymer biocomposites

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1372-1388 doi: 10.1007/s11705-023-2302-3

Abstract: Recently, we proposed the strategy of in situ construction of interfacial dynamic bonds in ligninBy taking advantage of the abundant oxygen-containing polar groups of lignin, we inserted dynamic bondinggroup toward building high-performance lignin/polymer biocomposites through the design of interfacial dynamicbonds (hydrogen bonds, coordination bonds, and dynamic covalent bonds) between lignin and different

Keywords： lignin     polymer     interfacial dynamic bonds    

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Molecular size characterization of heavy oil fractions in vacuum and solution by molecular dynamic simulation

Wenpo REN, Honggang CHEN, Chaohe YANG, Honghong SHAN,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 250-256 doi: 10.1007/s11705-009-0281-7

Abstract: conformations of polycyclic aromatic and heavy resin in vacuum and toluene solution were obtained by molecular dynamic

Keywords： dynamic simulation     molecular dynamic     behavior     molecule     Adsorption Chromatography    

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Dynamic Setting Automatic Control System for Flatness and Gauge

Zhang Jinzhi,Duan Chunhua

Strategic Study of CAE 2000, Volume 2, Issue 6,   Pages 67-72

Abstract: characteristics is that shape and gauge close-circuit control is achieved by means of static load distribution, dynamicload distribution and dynamic setting Automatic Gauge Control (AGC), and Bellman dynamic programming

Keywords： dynamic load distribution     shape optimal schedule     dynamic programming     dynamic setting    

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Modelling of dynamic contact length in rail grinding process

Shaodan ZHI,Jianyong LI,A. M. ZAREMBSKI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 242-248 doi: 10.1007/s11465-014-0305-y

Abstract:

Rails endure frequent dynamic loads from the passing trains for supporting trains and guiding wheelsAnd the calculating models are improved considering the grinding car’s dynamic behaviors during

Keywords： rail grinding     contact length     dynamic model     Hamiltonian system     grinding stone     rail grinding car    

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Title Author Date Type Operation

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

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

State identification of home appliance with transient features in residential buildings

Journal Article

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

Journal Article

A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

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

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

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

黄幼麟: Dynamic Consumer Preferences for Electric Vehicles — A Longitudinal Analysis (2020-7-12)

10 Jun 2022

Conference Videos

Numerical analysis of nonlinear dynamic behavior of earth dams

Babak EBRAHIMIAN

Journal Article

Construction of interfacial dynamic bonds for high performance lignin/polymer biocomposites

Journal Article

Molecular size characterization of heavy oil fractions in vacuum and solution by molecular dynamic simulation

Wenpo REN, Honggang CHEN, Chaohe YANG, Honghong SHAN,

Journal Article

Dynamic Setting Automatic Control System for Flatness and Gauge

Zhang Jinzhi,Duan Chunhua

Journal Article

Modelling of dynamic contact length in rail grinding process

Shaodan ZHI,Jianyong LI,A. M. ZAREMBSKI

Journal Article