Resource Type

Journal Article 300

Year

2022 16

2021 14

2020 17

2019 19

2018 14

2017 28

2016 30

2015 14

2014 12

2013 2

2012 1

2011 4

2010 7

2009 5

2008 11

2007 4

2006 4

2005 11

2004 8

2003 15

open ︾

Keywords

big data 17

engineering science and technology 10

Big data 9

Qian Xuesen 8

technology foresight 8

2035 7

Software-defined networking (SDN) 6

Machine learning 5

engineering 5

noetic science 4

system science 4

Artificial intelligence 3

Delphi method 3

Industry 4.0 3

development strategy 3

science and technology 3

Big Data 2

Big data analytics 2

Controller placement 2

open ︾

Search scope:

排序: Display mode:

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    

Development Strategy of Microbial Industry in China

Du Juan, Ma Lianying, Ma Aijin, Liu Long, Yu Qing, Wu Qingping

Strategic Study of Chinese Academy of Engineering 2021, Volume 23, Issue 5,   Pages 51-58 doi: 10.15302/J-SSCAE-2021.05.007

Abstract: Our findings indicated that structuring systematic big science facilities, developing a series of industrialized

Keywords: microbial industry     microbial safety     microbial health     microbial medicine     microbial manufacturing     bigscience facilities     industrial application    

Characterising populations living close to intensive farming and composting facilities in England

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1332-z

Abstract:

• Bioaerosol emitted from farming and composting facilities may pose

Keywords: Composting     Intensive farming     Bioaerosol     Population characteristics     Public health    

resistance genes and their association with bacteria and viruses in decentralized sewage treatment facilities

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1469-4

Abstract:

• Distribution of ARGs in decentralized sewage facilities were investigated

Keywords: Decentralized sewage treatment facilities     Antibiotic resistance genes     Virus     Metagenomics     Network    

Occurrence and fate of antibiotics in advanced wastewater treatment facilities and receiving rivers in

Xinwei LI,Hanchang SHI,Kuixiao LI,Liang ZHANG,Yiping GAN

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 888-894 doi: 10.1007/s11783-014-0735-0

Abstract: This study showed the necessity of employing more effective advanced treatment facilities to further

Keywords: antibiotics     advanced treatment     urban river     reclaimed water    

Slope stability analysis based on big data and convolutional neural network

Frontiers of Structural and Civil Engineering   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    

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 bigWith the support of big data, the defects and weakness may be overcome in the methodology of the conventionalTo conduct clinical studies involved in big data in TCM domain, top level design is needed and should

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

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 clinicalBig 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    

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    

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    

prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel construction big

Frontiers of Structural and Civil Engineering   Pages 401-413 doi: 10.1007/s11709-022-0823-3

Abstract: model of TBM advance rate using the temporal convolutional network (TCN), based on TBM construction big

Keywords: bore machine advance rate prediction     temporal convolutional networks     soft computing     construction big    

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

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 medicineIt also discusses the integration of science, technology, and medicine under the guidance of the paradigm

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

Google Takes a Big Step Toward Quantum Computing

Chris Palmer

Engineering 2020, Volume 6, Issue 4,   Pages 381-383 doi: 10.1016/j.eng.2020.02.003

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: This paper introduces the study on big data-based metro construction behavior modification, aiming to

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

Title Author Date Type Operation

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Development Strategy of Microbial Industry in China

Du Juan, Ma Lianying, Ma Aijin, Liu Long, Yu Qing, Wu Qingping

Journal Article

Characterising populations living close to intensive farming and composting facilities in England

Journal Article

resistance genes and their association with bacteria and viruses in decentralized sewage treatment facilities

Journal Article

Occurrence and fate of antibiotics in advanced wastewater treatment facilities and receiving rivers in

Xinwei LI,Hanchang SHI,Kuixiao LI,Liang ZHANG,Yiping GAN

Journal Article

Slope stability analysis based on big data and convolutional neural network

Journal Article

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Journal Article

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

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Journal Article

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

Feng YANG, Manman WANG

Journal Article

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

Jing LIN, Uday KUMAR

Journal Article

prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel construction big

Journal Article

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

Journal Article

Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Journal Article

Google Takes a Big Step Toward Quantum Computing

Chris Palmer

Journal Article

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Journal Article