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Retrieval in Large and Complex Deformation Areas via Integration of Offsets-Based Unwrapping and Improved Multiple-ApertureSAR Interferometry: Application to the 2016 Kumamoto Earthquake Article

Won-Kyung Baek, Hyung-Sup Jung

Engineering 2020, Volume 6, Issue 8,   Pages 927-935 doi: 10.1016/j.eng.2020.06.012

Abstract:

Conventional synthetic aperture radar (SAR) interferometry (InSAR) has been successfully used to preciselymeasure surface deformation in the line-of-sight (LOS) direction, while multiple-aperture SAR interferometry(MAI) has provided precise surface deformation in the along-track (AT) direction.Integration of the InSAR and MAI methods enables precise measurement of the two-dimensional (2D) deformationlarge and complex deformation areas through the integration of offset-based unwrapped and improved multiple-aperture

Keywords： Synthetic Aperture Radar (SAR)     Conventional SAR interferometry (InSAR)     Multiple-aperture SAR interferometry(MAI)     ALOS2 PALSAR2     3D deformation retrieval     2016 Kumamoto earthquake    

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Investigation on multiple-melting behavior of nano-CaCO3/polypropylene composites

LIN Zhidan, ZENG Chunlian, MAI Kancheng

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 1,   Pages 81-86 doi: 10.1007/s11705-007-0017-5

Abstract: The multiple melting-peak behavior of polypropylene (PP) in nano-CaCO/PP composites and modified nano-CaCO

Keywords： polypropylene     nano-CaCO/PP     presence     melting-peak behavior     low-temperature    

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Astatistical distribution texton feature for synthetic aperture radar image classification Article

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1614-1623 doi: 10.1631/FITEE.1601051

Abstract: We propose a novel statistical distribution texton (s-texton) feature for synthetic aperture radar (SARtexton feature, the framework of texture analysis, and the importance of statistical distribution in SARstatistical distribution can replace the filtering operation in the traditional texture analysis of SAR

Keywords： Synthetic aperture radar     Statistical distribution     Parameter estimation     Image classification    

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Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR Article

Zefa Yang, Qingjun Zhang, Xiaoli Ding, Wu Chen

Engineering 2020, Volume 6, Issue 8,   Pages 913-918 doi: 10.1016/j.eng.2020.07.003

Abstract: Airborne and low-earth-orbit (LEO) space-borne interferometric synthetic aperture radar (InSAR) has beenGeosynchronous synthetic aperture radar (GEOSAR) satellites fly in geostationary earth orbits, allowingof a daily GEOSAR DEM is generally much lower than what can be achieved with typical LEO synthetic apertureradar (SAR) sensors; therefore, it is important to develop techniques to mitigate the effects of errors

Keywords： Daily digital elevation model     Interferometric synthetic aperture radar     Geosynchronous synthetic aperture    

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Effects of residual motion compensation errors on the performance of airborne along-track interferometric SAR Article

Hui ZHANG,Jun HONG,Xiao-lan QIU,Ji-chuan LI,Fang-fang LI,Feng MING

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1095-1106 doi: 10.1631/FITEE.1500311

Abstract: center-beam approximation and reference digital elevation model (DEM) approximation, are used in synthetic apertureradar (SAR) motion compensation procedures.They usually introduce residual motion compensation errors for airborne single-antenna SAR imaging andSAR interferometry.(ATI-SAR).

Keywords： Synthetic aperture radar (SAR)     Along-track interferometric     Motion compensation     Residual error     Interferometric    

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Embracing non-orthogonalmultiple access in future wireless networks None

Zhi-guo DING, Mai XU, Yan CHEN, Mu-gen PENG, H. Vincent POOR

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 322-339 doi: 10.1631/FITEE.1800051

Abstract: provides a comprehensive survey of the impact of the emerging communication technique, non-orthogonal multipleParticularly, how the NOMA principle affects the design of the generation multiple access techniquesThen the applications of NOMA to other advanced communication techniques, such as wireless caching, multiple-inputmultiple-output techniques, millimeter-wave communications, and cooperative relaying, are discussed.

Keywords： Non-orthogonal multiple access (NOMA)     Wireless caching     Multiple-input multiple-output (MIMO) NOMA     Cooperative    

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Review of self-referenced measurement algorithms: Bridging lateral shearing interferometry and multi-probe

Dede ZHAI, Shanyong CHEN, Ziqiang YIN, Shengyi LI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2,   Pages 143-157 doi: 10.1007/s11465-017-0432-3

Abstract: discusses the reconstruction algorithms for self-referenced measurement and connects lateral shearing interferometryIn lateral shearing interferometry, the reconstruction algorithms are generally categorized into modalThe common features of the lateral shearing interferometry method and the multi-probe error separationWe conclude that the reconstruction principle in lateral shearing interferometry is similar to the two-point

Keywords： self-referenced measurement     lateral shearing interferometry     multi-probe error separation     surface metrology    

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Near range millimeter wave synthetic aperture radiometer passive range measurement

Wang Benqing,Li Xingguo

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 95-99

Abstract: Hence, the article focuses on the application of PSO to the multiple-objective coordination optimizationarticle aims at the efficiency coefficient of quality, cost, time and resource subsystem, and set up a multipleThe numeric example followed indicates that PSO can solve the multiple-objectives coordination optimization

Keywords： Particle Swarm Optimization (PSO)     project management     efficiency coefficient of coordination     multiple    

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sediment transport pattern and beach morphology in the vicinity of submerged groyne (case study: Dahane Sar

H. Afsoos Biria,M. A. Lashteh Neshaei,A. Ghabraei,M. A. Mehrdad

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 82-90 doi: 10.1007/s11709-014-0275-5

Abstract: submerged groyne and comparison with non-submerged groyne focusing on a part of the coast at Dahane Sar

Keywords： submerged groyne     non-submerged groyne     beach morphology     Dahane Sar Sefidrood     sediment transport    

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Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 169-186 doi: 10.1007/s11709-017-0385-y

Abstract: Fragility curves are commonly used in civil engineering to assess the vulnerability of structures to earthquakes. The probability of failure associated with a prescribed criterion (e.g., the maximal inter-storey drift of a building exceeding a certain threshold) is represented as a function of the intensity of the earthquake ground motion (e.g., peak ground acceleration or spectral acceleration). The classical approach relies on assuming a lognormal shape of the fragility curves; it is thus parametric. In this paper, we introduce two non-parametric approaches to establish the fragility curves without employing the above assumption, namely binned Monte Carlo simulation and kernel density estimation. As an illustration, we compute the fragility curves for a three-storey steel frame using a large number of synthetic ground motions. The curves obtained with the non-parametric approaches are compared with respective curves based on the lognormal assumption. A similar comparison is presented for a case when a limited number of recorded ground motions is available. It is found that the accuracy of the lognormal curves depends on the ground motion intensity measure, the failure criterion and most importantly, on the employed method for estimating the parameters of the lognormal shape.

Keywords： earthquake engineering     fragility curves     lognormal assumption     non-parametric approach     kernel density estimation     epistemic uncertainty    

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Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 1-31 doi: 10.1007/s11465-020-0602-6

Abstract: Optical interferometry is a powerful tool for measuring and characterizing areal surface topography inA variety of instruments based on optical interferometry have been developed to meet the measurementThis paper also presents the new challenges that optical interferometry techniques are facing in surfaceparallel computing, and deep learning are explored to improve the functional performance of optical interferometry

Keywords： surface topography     measurement     optical interferometry     coherence envelope     phase-shifting algorithm    

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error control and crack-free surface fabrication techniques for ultra-precision fly cutting of large-aperture

F. H. ZHANG, S. F. WANG, C. H. AN, J. WANG, Q. XU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2,   Pages 193-202 doi: 10.1007/s11465-017-0448-8

Abstract:

Large-aperture potassium dihydrogen phosphate (KDP) crystals are widely used in the laser path of

Keywords： ultra-precision fly cutting     large-aperture KDP crystals     spatial frequency     processing error    

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Preparation of hydrogels with uniform and gradient chemical structures using dialdehyde cellulose and diamine by aerating ammonia gas

Peiwen Liu, Carsten Mai, Kai Zhang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 3,   Pages 383-389 doi: 10.1007/s11705-018-1718-7

Abstract:

Hydrogels with precisely designed structures represent promising materials with a broad application spectrum, such as for sensor, tissue engineering and biomimetic technology. However, with highly reactive compounds, the preparation of hydrogels still needs an efficient approach for desired distribution of each component within hydrogels. In addition, a method for in situ preparation of gradient hydrogels is still lacking. Herein, we report the formation of hydrogels with either uniform or gradient internal structures via a novel, simple but very efficient method by aerating ammonia gas (NH3 gas) into the solution of dialdehyde cellulose (DAC) and a diamine. As-prepared hydrogels exhibited uniform microscopic and chemical structure or gradient distribution of functional groups. Due to lots of aldehyde groups on DAC chains, functional hydrogels can be prepared by using diverse diamines. For instance, hydrogels prepared by using 1,6-hexanediamine as a cross-linker were responsive to pH values. Moreover, this controllable process of aerating NH3 gas allows the in situ formation of gradient hydrogels; for instance, by using cyanamide as a reaction counterpart, gradient hydrogels with gradient distributions of cyanide groups were prepared.

Keywords： hydrogel     uniform     gradient     dialdehyde cellulose     ammonia gas     diamine    

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Design of the Optical System with Large Relative Aperture and Large Linear Field of View

Pan Junye

Strategic Study of CAE 2000, Volume 2, Issue 8,   Pages 89-90

Abstract: detecting in the distance should be an total reflecting off-axis aspheric system with large relative aperture

Keywords： IR detecting     relative aperture     large field of view     off-axis system     aspheric surface    

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Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 928-945 doi: 10.1007/s11709-022-0837-x

Abstract: The compressive strength of self-compacting concrete (SCC) needs to be determined during the construction design process. This paper shows that the compressive strength of SCC (CS of SCC) can be successfully predicted from mix design and curing age by a machine learning (ML) technique named the Extreme Gradient Boosting (XGB) algorithm, including non-hybrid and hybrid models. Nine ML techniques, such as Linear regression (LR), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees (DTR), Random Forest (RF), Gradient Boosting (GB), and Artificial Neural Network using two training algorithms LBFGS and SGD (denoted as ANN_LBFGS and ANN_SGD), are also compared with the XGB model. Moreover, the hybrid models of eight ML techniques and Particle Swarm Optimization (PSO) are constructed to highlight the reliability and accuracy of SCC compressive strength prediction by the XGB_PSO hybrid model. The highest number of SCC samples available in the literature is collected for building the ML techniques. Compared with previously published works’ performance, the proposed XGB method, both hybrid and non-hybrid models, is the most reliable and robust of the examined techniques, and is more accurate than existing ML methods (R2 = 0.9644, RMSE = 4.7801, and MAE = 3.4832). Therefore, the XGB model can be used as a practical tool for engineers in predicting the CS of SCC.

Keywords： compressive strength     self-compacting concrete     machine learning techniques     particle swarm optimization     extreme gradient boosting    

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Title Author Date Type Operation

Retrieval in Large and Complex Deformation Areas via Integration of Offsets-Based Unwrapping and Improved Multiple-ApertureSAR Interferometry: Application to the 2016 Kumamoto Earthquake

Won-Kyung Baek, Hyung-Sup Jung

Journal Article

Investigation on multiple-melting behavior of nano-CaCO3/polypropylene composites

LIN Zhidan, ZENG Chunlian, MAI Kancheng

Journal Article

Astatistical distribution texton feature for synthetic aperture radar image classification

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Journal Article

Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR

Zefa Yang, Qingjun Zhang, Xiaoli Ding, Wu Chen

Journal Article

Effects of residual motion compensation errors on the performance of airborne along-track interferometric SAR

Hui ZHANG,Jun HONG,Xiao-lan QIU,Ji-chuan LI,Fang-fang LI,Feng MING

Journal Article

Embracing non-orthogonalmultiple access in future wireless networks

Zhi-guo DING, Mai XU, Yan CHEN, Mu-gen PENG, H. Vincent POOR

Journal Article

Review of self-referenced measurement algorithms: Bridging lateral shearing interferometry and multi-probe

Dede ZHAI, Shanyong CHEN, Ziqiang YIN, Shengyi LI

Journal Article

Near range millimeter wave synthetic aperture radiometer passive range measurement

Wang Benqing,Li Xingguo

Journal Article

sediment transport pattern and beach morphology in the vicinity of submerged groyne (case study: Dahane Sar

H. Afsoos Biria,M. A. Lashteh Neshaei,A. Ghabraei,M. A. Mehrdad

Journal Article

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Journal Article

error control and crack-free surface fabrication techniques for ultra-precision fly cutting of large-aperture

F. H. ZHANG, S. F. WANG, C. H. AN, J. WANG, Q. XU

Journal Article

Preparation of hydrogels with uniform and gradient chemical structures using dialdehyde cellulose and diamine by aerating ammonia gas

Peiwen Liu, Carsten Mai, Kai Zhang

Journal Article

Design of the Optical System with Large Relative Aperture and Large Linear Field of View

Pan Junye

Journal Article

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY

Journal Article