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Three-dimensional modeling of borehole data cored from engineering rock mass

HE Manchao, LI Xueyuan, LIU Bin, XU Nengxiong

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 334-339 doi: 10.1007/s11709-007-0044-9

Abstract: Vast data from the drilling and geophysical prospecting are reliable original information to describethe space state of engineering rock mass, and one of the main difficulties in three-dimensional (3D)modeling of engineering rock mass is the processing of the primary data.Because drilling data are very important to describe the characters of multi-scale of the spatial datafor rock mass, the rule of how to process drilling data is developed to help appropriately display them

Keywords： three-dimensional     discontinuous     primary     extensive direction     engineering    

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Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: In this paper, the random sampling-high dimensional model representation (RS-HDMR) methods were employed

Keywords： ignition delay     random sampling     high dimensional model representation     n-heptane     fuel kinetics    

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Three-dimensional composite Li metal anode by simple mechanical modification for high-energy batteries

Frontiers in Energy 2023, Volume 17, Issue 5,   Pages 569-584 doi: 10.1007/s11708-023-0875-7

Abstract: to be the “Holy Grail” among all anode materials for next-generation Li-based batteries due to its highIt is well accepted that the construction of three-dimensional (3D) composite Li metal anode could tackleIn spite of their effectiveness, these procedures bring multiple complex processing steps, high temperature

Keywords： lithium (Li)-ion battery (LIB)     Li metal battery     three-dimensional (3D) composite Li metal anode     mechanical    

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Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 311-321 doi: 10.1007/s11709-019-0593-8

Abstract: The use of data driven models has been shown to be useful for simulating complex engineering processes, when the only information available consists of the data of the process.In this study, four data-driven models, namely multiple linear regression, artificial neural network,collection of 207 laboratory tests, are investigated for compressive strength prediction of concrete at highdriven models to predict the compressive strength at high temperature.

Keywords： data driven model     compressive strength     concrete     high temperature    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: methods cannot fully extract fault information to recognize mechanical health states when processing high-dimensionaldeep convolutional neural network (DCNN) is proposed in this study to accomplish fault recognition of high-dimensionalfunctions are trained through dimension reduction learning to obtain different fault features from high-dimensionalThe integrated 2D feature images can effectively represent the fault characteristic contained in raw high-dimensionpublic dataset of Case Western Reserve University, USA and a one-stage reduction gearbox dataset, has high

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Design and calibration of a new high-definition three-dimensional laparoscopic system

Jia TANG,Li-qiang WANG,Bo YUAN,Hong JIANG,Qi-ming ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 79-84 doi: 10.1631/FITEE.1400149

Abstract: We present a high-definition (HD) 3D laparoscopic system including a dual channel optical system, twoThis laparoscopic system is capable of outputting dual high-definition videos and providing vivid 3D

Keywords： Dual optical channels     Three dimensional     Camera calibration     Pinhole model     Depth measurement     Laparoscopic    

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The research of detection of outliers based on manifold lear ning

Xu Xuesong,Song Dongming,Zhang Xu,Xu Manwu,Liu Fengyu

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 82-87

Abstract:

The data dimensionality reduction is the main method that can enhancethe outliers mining efficiency based on higher- dimension data set.Local Linear Embedding, the algorithm can select optimal parameter and regulate the distance among dataset after data dimensionality reduction, so as to improve efficiency of detection of outliers.

Keywords： manifold learning     detection of outliers     high dimensional data     dimensionality reduction     outliers    

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Fictitious soil pile model for dynamic analysis of pipe piles under high-strain conditions

Frontiers of Structural and Civil Engineering   Pages 915-934 doi: 10.1007/s11709-023-0907-8

Abstract: soil pile (FSP) model is developed to simulate the behavior of pipe piles with soil plugs undergoing high-strain

Keywords： fictitious soil pile     soil plug     pipe piles     high-strain dynamic analysis     one-dimensional wave theory    

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Two-dimensional SnS2 nanosheets on Prussian blue template for high performance sodium ion batteries

Glenn J. Sim, Kakui Ma, Zhixiang Huang, Shaozhuan Huang, Ye Wang, Huiying Yang

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 3,   Pages 493-500 doi: 10.1007/s11705-019-1826-z

Abstract: Three-dimensional Prussian blue (PB) nanostructures was obtained via a one-step hydrothermal method.Subsequently, two-dimensional tin disulfide (SnS ) nanosheets were grown onto PB through a facile hydrothermal

Keywords： Prussian blue     carbon nanocubes     tin disulfide     sodium ion batteries    

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FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence overdata stream Regular Papers

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 388-404 doi: 10.1631/FITEE.1800038

Abstract: Sequence data in these fields are usually multi-dimensional over the data stream.It is a challenge to design an anomaly detection method for a multi-dimensional sequence over the datastream to satisfy the requirements of accuracy and high speed.for sequence modeling; (2) Anomaly detection cannot adapt to the high-speed nature of the data streamFAAD is implemented on the streaming platform Storm to detect multi-dimensional log audit data.

Keywords： Data stream     Multi-dimensional sequence     Anomaly detection     Concept drift     Feature selection    

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A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 543-551 doi: 10.1007/s11783-011-0369-4

Abstract: Macau Peninsula as a case study, this paper shows the advantages of building-based model system in datacapture and data mining.resolutions of 1–2 km, the building-based approach can extract the street configuration and traffic dataThe non-homogeneous distribution of air pollution in the Macau Peninsula was modeled in a high-spatialurban spatial data for environmental assessment.

Keywords： traffic air pollution     spatial distribution     high resolution     geographic information system    

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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 estimationwith data detection for uniform rectangular arrays (URAs) for the massive multiple-input multiple-outputIn addition, a low-complexity approach toward data detection is presented by reducing the dimension of

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

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Case study of data-oriented approach for building energy performance investigation

Jianjun XIA, He XIAO, Yi JIANG,

Frontiers in Energy 2010, Volume 4, Issue 1,   Pages 22-34 doi: 10.1007/s11708-010-0024-y

Abstract: parameters that may influence building energy performance is studied by comparing the building energy dataBy introducing data-orientated approach, a study of a set of on-campus building energy demand and consumptionThe breakdown analyses of the current energy consumption data are used to focus the investigation onThe over-high energy consumption in campus buildings in the USA is mainly caused by operation schedule

Keywords： USA     counteraction     on-campus building     over-high     sensor/actuator    

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Anefficient data layout scheme for better I/O balancing inRAID-6 storage systems

Ping XIE,Jian-zhong HUANG,Er-wei DAI,Qiang CAO,Chang-sheng XIE

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 335-345 doi: 10.1631/FITEE.1400362

Abstract: To address this issue, we propose a novel efficient data layout, uniform P-code (UPC), to support highly

Keywords： RAID-6     Data availability     High performance     I/O balancing    

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Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Article

Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen

Engineering 2021, Volume 7, Issue 4,   Pages 495-506 doi: 10.1016/j.eng.2021.01.009

Abstract: However, state-of-the-art routing and scheduling algorithms for airport ground movements do not consider high-fidelityThis paper proposes a new approach for generating efficient four-dimensional trajectories (4DTs) on thebasis of a high-fidelity aircraft model and gainscheduling control strategy.

Keywords： Aircraft model     Intelligent taxiing     Optimization     Four-dimensional trajectory    

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Title Author Date Type Operation

Three-dimensional modeling of borehole data cored from engineering rock mass

HE Manchao, LI Xueyuan, LIU Bin, XU Nengxiong

Journal Article

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Journal Article

Three-dimensional composite Li metal anode by simple mechanical modification for high-energy batteries

Journal Article

Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Design and calibration of a new high-definition three-dimensional laparoscopic system

Jia TANG,Li-qiang WANG,Bo YUAN,Hong JIANG,Qi-ming ZHU

Journal Article

The research of detection of outliers based on manifold lear ning

Xu Xuesong,Song Dongming,Zhang Xu,Xu Manwu,Liu Fengyu

Journal Article

Fictitious soil pile model for dynamic analysis of pipe piles under high-strain conditions

Journal Article

Two-dimensional SnS2 nanosheets on Prussian blue template for high performance sodium ion batteries

Glenn J. Sim, Kakui Ma, Zhixiang Huang, Shaozhuan Huang, Ye Wang, Huiying Yang

Journal Article

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence overdata stream

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Journal Article

A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG

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

Case study of data-oriented approach for building energy performance investigation

Jianjun XIA, He XIAO, Yi JIANG,

Journal Article

Anefficient data layout scheme for better I/O balancing inRAID-6 storage systems

Ping XIE,Jian-zhong HUANG,Er-wei DAI,Qiang CAO,Chang-sheng XIE

Journal Article

Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity

Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen

Journal Article