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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: In this paper, we use a dense multivariate label distribution (MLD) to represent the pose angle of aIn addition, experiments on the CAS-PEAL and CMU Multi-PIE databases show that the proposed dense MLD-based

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

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Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Article

Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li

Engineering 2018, Volume 4, Issue 5,   Pages 617-626 doi: 10.1016/j.eng.2018.06.006

Abstract: ">This study develops a multivariateeco-hydrological risk-assessment framework based on the multivariate copula method in order to evaluateThe probabilistic features of bivariate and multivariate hydrological risk are also characterized.

Keywords： Flood risk     Copula     Multivariate flood frequency analysis     Distribution     Markov chain Monte Carlo    

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Surface modification by ligand growth strategy for dense copper bismuth film as photocathode to enhance

Frontiers in Energy doi: 10.1007/s11708-023-0893-5

Abstract: Herein, a straightforward sol-gel method with the ligand-induced growth strategy was employed to obtain dense

Keywords： copper bismuthate     photocathode     ligand growth strategy     dense film     PEC    

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Ionically Imprinting-Based Copper (Ⅱ) Label-Free Detection for Preventing Hearing Loss Article

Huan Wang, Hui Zhang, Xiaoli Zhang, Hong Chen, Ling Lu, Renjie Chai

Engineering doi: 10.1016/j.eng.2023.09.001

Abstract: in solution, IIHBs recognize Cu2+ and exhibit a reflective peak change, thereby achieving label-free

Keywords： Structural color     Microfluidics Ionic imprinting     Label-free detection     Hearing loss    

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Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate

Ali Reza GHANIZADEH, Morteza RAHROVAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 787-799 doi: 10.1007/s11709-019-0516-8

Abstract: the unconfined compressive strength (UCS) of soil-RAP blend stabilized with Portland cement based on multivariate

Keywords： full-depth reclamation     soil-reclaimed asphalt pavement blend     Portland cement     unconfined compressive strength     multivariate    

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Low crosstalk switch unit for dense piezoelectric sensor networks

Lei QIU, Shenfang YUAN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 401-406 doi: 10.1007/s11465-009-0047-4

Abstract: Furthermore, to monitor large-scale structures, dense piezoelectric sensor networks are required, which

Keywords： structural health monitoring (SHM)     piezoelectric (PZT) sensor networks     switch unit     crosstalk signal    

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Building a dense surface map incrementally from semi-dense point cloud andRGBimages

Qian-shan LI,Rong XIONG,Shoudong HUANG,Yi-ming HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 594-606 doi: 10.1631/FITEE.14a0260

Abstract: A dense surface map, which offers rich visual and geometric information, is an ideal representation ofpoint cloud and RGB images, we propose a method to generate a consistent and dense surface map fromthis kind of semi-dense point cloud and RGB images.The method contains two main steps: (1) generate a dense surface for every single scan of point cloudNoise within the scan is reduced and a dense surface is generated.

Keywords： Bionic robot     Robotic mapping     Surface fusion    

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Visualization of force networks in 2D dense granular materials

Jianguo LIU, Qicheng SUN, Feng JIN,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 109-115 doi: 10.1007/s11709-010-0003-8

Abstract: Dense granular matter is a conglomeration of discrete solid and closely packed particles.The interparticle contact force distribution was found a peak around the mean value, a roughly exponentialThe force chain network around the probe tip was depicted, and the contact angle distribution of particles

Keywords： granular matter     force chain     multiscale modeling    

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Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0945-3

Abstract: analyzed to assess the overall performance of CFB incineration by applying the Mahalanobis distance as a multivariate

Keywords： Municipal solid waste     Incineration     Circulating fluidized bed     Load change     Multivariate outlier detection    

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The Lesson From Hurricane Katrina 2005——Risk Analysis for Coastal, Offshore, and Hydraulic Engineering

Liu Defu,Pang Liang,Xie Botao,Shi Hongda,Lu Yijun

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 24-29

Abstract: Comparison among predicted hurricane characteristics with the Poisson-Weibull compound extreme value distributionproposed by the authors in 1982,  Poisson-nested logistic trivariate compound extreme value distributionprevention design criteria for New Orleans (proposed by NOAA) shows that the compound extreme value distribution;Based on the lesson from Hurricane Katrina,  this paper involved the uncertainty analysis and multivariate

Keywords： Hurricane Katrina     compound extreme value distribution     multivariate compound extreme value distribution    

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Mesoscopic properties of dense granular materials: An overview

Qicheng SUN, Feng JIN, Guohua ZHANG

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 1-12 doi: 10.1007/s11709-013-0184-z

Abstract: A multiscale framework is then proposed for dense granular materials.

Keywords： granular matter     macroscopic structure     jamming phase transition    

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Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 164-175 doi: 10.1007/s11708-016-0407-9

Abstract: In this paper, different models for liquid breakup processes in high-pressure dense diesel sprays and

Keywords： breakup model     diesel engine     high-pressure injection     simulations    

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Shrink-induced graphene sensor for alpha-fetoprotein detection with low-cost self-assembly and label-free

Shota SANDO, Bo ZHANG, Tianhong CUI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4,   Pages 574-580 doi: 10.1007/s11465-017-0485-3

Abstract: being used in sensing applications for pH and alpha-fetoprotein (AFP) detection with advantages of labelthe sensor also has a significant potential for biosensing as it relies on low-cost self-assembly and label-free

Keywords： graphene     self-assembly     shrink polymer     AFP     label-free     biosensor    

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: temporal and spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate

Keywords： Xin'anjiang River     multivariable statistical analysis     temporal variation     spatial variation     water quality    

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Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective

Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 146-153 doi: 10.15302/J-SSCAE-2022.06.013

Abstract:

The central area of a megacity, which features high-intensity development, large population density, and concentrated urban functions, demonstrates the most prominent urban problems. Addressing the urban malaise in megacities necessitates analyzing and demonstrating the reasonable scale of the megacity central area. This study proposes that commuting time is the core controlling factor determining the reasonable scale of the megacity central area. Combining with point of interest data of multi-type land use and the geographic information system data for street administrative division, we identified the current central urban areas of ten cities in China using big data analysis and the clustering method; their current traffic efficiencies were then evaluated based on path navigation data via web maps and mobile phone signaling data verification. Finally, demonstration results were presented through quantitative analysis. Our study shows that the current central areas of the ten megacities cannot satisfy residents' need for a proper commuting time; considering factors such as technological development and improvement in the level of governance, 13‒15 km is the upper limit of equivalent radius for the central area of a megacity.

Keywords： reasonable scale     multivariate data     central urban area     megacity     happiness    

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Title Author Date Type Operation

Unseen head pose prediction using densemultivariate label distribution Project supported by

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

Journal Article

Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three

Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li

Journal Article

Surface modification by ligand growth strategy for dense copper bismuth film as photocathode to enhance

Journal Article

Ionically Imprinting-Based Copper (Ⅱ) Label-Free Detection for Preventing Hearing Loss

Huan Wang, Hui Zhang, Xiaoli Zhang, Hong Chen, Ling Lu, Renjie Chai

Journal Article

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate

Ali Reza GHANIZADEH, Morteza RAHROVAN

Journal Article

Low crosstalk switch unit for dense piezoelectric sensor networks

Lei QIU, Shenfang YUAN,

Journal Article

Building a dense surface map incrementally from semi-dense point cloud andRGBimages

Qian-shan LI,Rong XIONG,Shoudong HUANG,Yi-ming HUANG

Journal Article

Visualization of force networks in 2D dense granular materials

Jianguo LIU, Qicheng SUN, Feng JIN,

Journal Article

Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun

Journal Article

The Lesson From Hurricane Katrina 2005——Risk Analysis for Coastal, Offshore, and Hydraulic Engineering

Liu Defu,Pang Liang,Xie Botao,Shi Hongda,Lu Yijun

Journal Article

Mesoscopic properties of dense granular materials: An overview

Qicheng SUN, Feng JIN, Guohua ZHANG

Journal Article

Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Journal Article

Shrink-induced graphene sensor for alpha-fetoprotein detection with low-cost self-assembly and label-free

Shota SANDO, Bo ZHANG, Tianhong CUI

Journal Article

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Journal Article

Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective

Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan

Journal Article