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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: With the increasing popularity of affordable depth sensors, range data is widely used in visual trackingFirst, an extra depth view is added to the color image based visual features as an independent view forFinally, a depth-based occlusion detection method is proposed to efficiently determine an accurate time

Keywords： Object tracking Sparse learning Depth view Occlusion templates Occlusion detection

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Investigating the raveling test for full-depth reclamation

Robert HILL, Andrew BRAHAM

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 2, Pages 222-226 doi: 10.1007/s11709-017-0423-9

Abstract: Full-Depth Reclamation (FDR) is a sustainable method of building pavement structure compared to more

Keywords： raveling full depth reclamation

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: Thus, view-invariant analysis becomes important for action recognition algorithms, and a number of researchersIn this paper, we present a multi-view learning approach to recognize human actions from different viewsAs most existing multi-view learning algorithms often suffer from the problem of lacking data adaptivenessin the nearest neighborhood graph construction procedure, a robust locally adaptive multi-view learningExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,

Keywords： View-invariant Action recognition Multi-view learning L1-norm Local learning

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Integrated energy view of wastewater treatment: A potential of electrochemical biodegradation

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1486-3

Abstract:

• Energy is needed to accelerate the biological wastewater treatment.

Keywords： Biological wastewater treatment Integrated energy view Electroactive bacteria Extracellular electron

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Multivariable regression model for Fox depth correction factor

Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 103-109 doi: 10.1007/s11709-018-0474-6

Abstract: This paper presents a simple and efficient equation for calculating the Fox depth correction factor usedClassical solution of Boussinesq theory was used originally to develop the Fox depth correction factoris straightforward, competent and easy to use for both manual and automated calculation of the Fox depthin the later part of the paper to analyse the extent of effect of a particular variable on the Fox depth

Keywords： settlement embedment Fox depth correction factor regression multivariable

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To Hold the Economical Time of Biology，to Practicea Positive View of Happiness

Gan Ziheng

Strategic Study of CAE 2007, Volume 9, Issue 2, Pages 5-11

Abstract: definition, classification and characteristic of biological economy, also, the importance of positive viewIt also discusses which views of happiness should be recommended and how to practice a positive view

Keywords： biological economy happiness positive view of happiness

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Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4, Pages 855-866 doi: 10.1007/s11709-020-0619-2

Abstract: Scour depth around bridge piers plays a vital role in the safety and stability of the bridges.The former approaches used in the prediction of scour depth are based on regression models or black boxdevelop new equations using particle swarm optimization as a metaheuristic approach to predict scour depthMoreover, the ratio of pier width to flow depth and ratio of 50 (mean particle diameter) to flow depthThe derived equations can be used as a suitable proxy to estimate scour depth in both experimental and

Keywords： scour depth bridge design and construction particle swarm optimization computational mechanics artificial

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Understand the local and regional contributions on air pollution from the view of human health impacts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1382-2

Abstract:

• PM_2.5-related deaths were estimated to be 227 thousand in BTH & surrounding regions.

Keywords： PM_2.5 Regional transport Local emissions Health impact Environmental inequality

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River restoration challenges with a specific view on hydromorphology

Jianhua LI, Stephan HOERBINGER, Clemens WEISSTEINER, Lingmin PENG, Hans Peter RAUCH

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1033-1038 doi: 10.1007/s11709-020-0665-9

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Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1, Pages 19-32 doi: 10.1007/s11465-009-0082-1

Abstract: An experimental study of the depth of cut in multipass abrasive waterjet (AWJ) cutting of alumina ceramicsIt is found that this cutting technique can significantly increase the depth of cut by an average ofPredictive models for the depth of cut are then developed.

Keywords： abrasive waterjet engineering ceramics depth of cut cutting performance nozzle oscillation machining

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Effect of biological activated carbon filter depth and backwashing process on transformation of biofilm

Wanqi Qi, Weiying Li, Junpeng Zhang, Xuan Wu, Jie Zhang, Wei Zhang

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 1, doi: 10.1007/s11783-019-1100-0

Abstract: >

Microbial diversity decreased gradually with the increase of BAC filter depthlistitem>

α-proteobacteria increased about 10% in all carbon filter depth

Keywords： Biological activated carbon Biofilm Community structure Carbon filter depth High-throughput sequencing

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Capturing the opportunities to initiate an in-depth integration of traditional Chinese medicine and western

Jia-Hua Qu,Bing Liu,Zhu-Qin Zhang,De-Pei Liu

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 268-271 doi: 10.1007/s11684-014-0369-4

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Prediction of hydro-suction dredging depth using data-driven methods

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 652-664 doi: 10.1007/s11709-021-0719-7

Abstract: ) methods, and simple equations methods were applied to simulate the maximum hydro-suction dredging depth

Keywords： sedimentation water resources dam engineering machine learning heuristic

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View and Comments on the Data Ecosystem: “Ocean of Data”

Zi-Kui Liu

Engineering 2020, Volume 6, Issue 6, Pages 604-608 doi: 10.1016/j.eng.2020.04.009

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Carbonation depth prediction of fly ash concrete subjected to 2- and 3-dimensional CO attack

CHEN Shudong, SUN Wei, ZHANG Yunsheng, GUO Fei

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4, Pages 395-400 doi: 10.1007/s11709-008-0046-2

Abstract: Based on accelerated carbonation test, 1D, 2D and 3D carbonation of high performance concrete with different fly ash contents (0%, 15%, 20%, 40%, 60%) were studied. The interaction coefficients of 2D and 3D carbonation are defined. The time-dependent coefficient of carbon dioxide diffusion and the interaction coefficients of 2D and 3D carbonation are analyzed. The mathematical model which includes and is deduced. The experiments indicate that 2D and 3D carbonation have obvious interaction. Interaction coefficients obey the attenuation function through time . The mathematical model of 2D and 3D carbonation life prediction based on Fick scattering law can be solved by Fourier expansion. The life prediction of concrete of Sutong Bridge beam shows that the 1D, 2D, 3D carbonation prediction life are 1595 a, 882 a and 758 a, respectively, 2D and 3D carbonation life predicted are reduced clearly.

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Title Author Date Type Operation

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article

Investigating the raveling test for full-depth reclamation

Robert HILL, Andrew BRAHAM

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Integrated energy view of wastewater treatment: A potential of electrochemical biodegradation