Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 627

Conference Videos 57

Year

2024 2

2023 38

2022 61

2021 75

2020 34

2019 38

2018 24

2017 42

2016 19

2015 31

2014 26

2013 37

2012 28

2011 36

2010 45

2009 36

2008 20

2007 19

2006 7

2005 9

open ︾

Keywords

construction 28

big data 20

ecological civilization 17

construction management 15

construction technology 10

system construction 10

Big data 9

Three Gorges Project 9

construction industry 7

project management 7

sustainable development 7

artificial intelligence 5

construction project 5

BIM 4

Sutong Bridge 4

Three Gorges Project ship lift 4

ecological civilization construction 4

engineering management 4

green construction 4

open ︾

Search scope:

排序： Display mode:

Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel constructionbig data

Zaobao LIU; Yongchen WANG; Long LI; Xingli FANG; Junze WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4, Pages 401-413 doi: 10.1007/s11709-022-0823-3

Abstract: rock-machine interaction parameters is of great significance to the adaptability of TBM and its efficiency in constructionreal-time predictive model of TBM advance rate using the temporal convolutional network (TCN), based on TBM constructionbig data.prediction model was built using an experimental database, containing 235 data sets, established from the constructionwork provides a new concept of real-time prediction of the TBM performance for highly efficient tunnel construction

Keywords： tunnel tunnel bore machine advance rate prediction temporal convolutional networks soft computing constructionbig data

HTML PDF Collect

Development of Key Domain-Relevant Technologies for Smart Construction in China

Chen Ke, Ding Lieyun

Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 64-70 doi: 10.15302/J-SSCAE-2021.04.007

Abstract:

Smart construction integrates new-generation information technology withconstruction and is important for the highquality development of China’s construction industryThis study expounds the basic concept and importance of smart construction and summarizes four typesInternet of things for smart construction sites, intelligent construction machinery for man–machineintegration, and construction big data for intelligent decision making.

Keywords： smart construction，engineering software，construction Internet of things，construction machinery，constructionbig data

HTML PDF Collect

Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 517-519 doi: 10.1007/s42524-022-0234-0

HTML PDF Collect

Conception and Exploration of Using Data as a Service in Tunnel Construction with the NATM Article

Bowen Du, Yanliang Du, Fei Xu, Peng He

Engineering 2018, Volume 4, Issue 1, Pages 123-130 doi: 10.1016/j.eng.2017.07.002

Abstract:

The New Austrian Tunneling Method (NATM) has been widely used in the construction of mountain tunnelsschemes, and provide essential information to ensure the safety and scheduling of tunnel constructionservice system is proposed that uses data-association technology and the NATM, with the support of a bigThis system can integrate data resources from distributed monitoring sensors during the constructionThe proposed data service system also provides valuable guidance for the construction of similar projects

Keywords： New Austrian Tunneling Method Big data environments Data as a service Tunnel construction

HTML PDF Collect

Urban Big Data and the Development of City Intelligence Review

Yunhe Pan, Yun Tian, Xiaolong Liu, Dedao Gu, Gang Hua

Engineering 2016, Volume 2, Issue 2, Pages 171-178 doi: 10.1016/J.ENG.2016.02.003

Abstract:

This study provides a definition for urban big data while exploring its features and applicationsFurthermore, this paper examines the role of urban big data in city intelligence by showing that it notThis study also points out the challenges of shaping and developing of China’s urban big data.Considering the supporting and core role that urban big data plays in city intelligence, the study thenconditions to promote the development of city intelligence through the proper application of urban big

Keywords： Urban big data City intelligence Ternary space Construction emphases

HTML PDF Collect

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 321-327 doi: 10.1007/s11684-014-0370-y

Abstract:

With the advent of big data era, our thinking, technology and methodology are being transformed.Data-intensive scientific discovery based on big data, named “The Fourth Paradigm,” has becomedata of diagnosis and treatment, and genomic data have been accumulated dramatically, which generates bigThe fundamental construction and innovation studies should be strengthened in the sections of data platformcreation, data analysis technology and big-data professionals fostering and training.

Keywords： big data traditional Chinese medicine clinical evaluation evidence based medicine

HTML PDF Collect

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectthis paper is to provide an overview and discussion of systematic evaluation and improvement in the bigWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data evaluation methods systematic improvement big data analytic techniques data mining

HTML PDF Collect

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigThis paper explores the concept of constructing a big medical data platform and introduces the clinicalmodel construction.Big data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords： big data correlation analysis medical information integration data analysis clinical model

HTML PDF Collect

IN2CLOUD: A novel concept for collaborative management of big railway data

Jing LIN, Uday KUMAR

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 428-436 doi: 10.15302/J-FEM-2017048

Abstract: In the EU Horizon 2020 Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from data and/or information. Therefore, we promote a novel concept called “IN2CLOUD,” which comprises three sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloud. The concept is developed under the assumption that organizations want/need to learn from each other (including domain knowledge and experience) but do not want to share their raw data or information. IN2CLOUD will help the movement of railway industry systems from “local” to “global” optimization in a collaborative way. The development of cutting-edge intelligent hybrid cloud-based solutions, including information technology (IT) solutions and related methodologies, will enhance business security, economic sustainability, and decision support in the field of intelligent asset management of railway assets.

Keywords： railway intelligent asset management collaborative learning big data hybrid cloud Bayesian

HTML PDF Collect

Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: This paper presents a review of the challenges to engineering management in the Big Data Era as wellas the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.

Keywords： big data data science intelligent knowledge engineering management real-life applications

HTML PDF Collect

Appreciating the role of big data in the modernization of environmental governance

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 163-169 doi: 10.1007/s42524-021-0185-x

HTML PDF Collect

Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 310-315 doi: 10.1007/s11684-014-0358-7

Abstract:

The advent of the big data era creates both opportunities and challenges for traditional Chinese medicine

Keywords： big data real world clinical research Chinese medicine medical computing

HTML PDF Collect

Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7, Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: The Limit Equilibrium Method (LEM) is commonly used in traditional slope stability analyses, but it is time-consuming and complicated. Due to its complexity and nonlinearity involved in the evaluation process, it cannot provide a quick stability estimation when facing a large number of slopes. In this case, the convolutional neural network (CNN) provides a better alternative. A CNN model can process data quickly and complete a large amount of data analysis in a specific situation, while it needs a large number of training samples. It is difficult to get enough slope data samples in practical engineering. This study proposes a slope database generation method based on the LEM. Samples were amplified from 40 typical slopes, and a sample database consisting of 20000 slope samples was established. The sample database for slopes covered a wide range of slope geometries and soil layers’ physical and mechanical properties. The CNN trained with this sample database was then applied to the stability prediction of 15 real slopes to test the accuracy of the CNN model. The results show that the slope stability prediction method based on the CNN does not need complex calculation but only needs to provide the slope coordinate information and physical and mechanical parameters of the soil layers, and it can quickly obtain the safety factor and stability state of the slopes. Moreover, the prediction accuracy of the CNN trained by the sample database for slope stability analysis reaches more than 99%, and the comparisons with the BP neural network show that the CNN has significant superiority in slope stability evaluation. Therefore, the CNN can predict the safety factor of real slopes. In particular, the combination of typical actual slopes and generated slope data provides enough training and testing samples for the CNN, which improves the prediction speed and practicability of the CNN-based evaluation method in engineering practice.

Keywords： slope stability limit equilibrium method convolutional neural network database for slopes big data

HTML PDF Collect

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Frontiers of Engineering Management 2015, Volume 2, Issue 2, Pages 131-136 doi: 10.15302/J-FEM-2015037

Abstract: With the rapid development of metro construction in China, construction accidents frequently happen,This paper introduces the study on big data-based metro construction behavior modification, aiming toSecondly, the development of behavior modification system of metro construction (BMSMC) is introducedObservations at one metro construction site in Wuhan indicate that the unsafe behavior rate of modified

Keywords： big data unsafe behavior behavior modification behavior-based safety (BBS) unsafe behavior rate