Resource Type

Journal Article 919

Year

2024 2

2023 72

2022 89

2021 65

2020 65

2019 62

2018 51

2017 61

2016 49

2015 50

2014 51

2013 30

2012 31

2011 30

2010 37

2009 12

2008 32

2007 21

2006 17

2005 13

open ︾

Keywords

management 49

engineering management 39

project management 23

big data 20

construction management 15

sustainable development 15

China 12

data mining 12

risk management 11

Machine learning 10

Big data 9

innovation 9

management system 8

thermal management 8

engineering 7

construction 6

Blockchain 5

emergency management 5

knowledge management 5

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.and non-structured data into “structured format” and explores the relationship of data heterogeneity

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

HTML PDF Collect

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: This position paper argues that data analytics is ready to change engineering management in the followingareas: 1) by making relevant historical data available to the manager at the time when it’s needed;2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful dataConsidering the unique need for engineering management, the paper proposes researchable topics in thetwo broad areas of data acquisition and data analytics.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

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: Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from datachallenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative managementusing asset-related data acquired from the intelligent hybrid cloud.learn from each other (including domain knowledge and experience) but do not want to share their raw databusiness security, economic sustainability, and decision support in the field of intelligent asset management

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

HTML PDF Collect

Integrated approach to winery waste: waste generation and data consolidation

Margarida OLIVEIRA,Elizabeth DUARTE

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 168-176 doi: 10.1007/s11783-014-0693-6

Abstract: As each winery is unique in waste generation and disposal, plans for environmentally friendly waste managementIn this regard, the data acquisition and consolidation ensure the transfer of information and experience

Keywords： waste management     wastewater reuse     winery wastewater    

HTML PDF Collect

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intoBased on the very few known studies using such methods to analyze the crop management strategies affectinguse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

HTML PDF Collect

Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 127-136 doi: 10.15302/J-SSCAE-2022.06.011

Abstract: and great difficulties in data management.Hence, establishing a national clinical big data management system for oncology based on artificialThis study conducted an in-depth analysis of the problems and challenges of clinical data management, including the development of common data models for oncology, data collection and security managementFinally, we proposed some suggestions on the research directions of the clinical big data management&

Keywords： clinical big data     management system     oncology     artificial intelligence     common data model     natural language    

HTML PDF Collect

Blockchain in energy systems: values, opportunities, and limitations

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 9-18 doi: 10.1007/s11708-022-0818-8

Abstract: The structure of a power energy system is becoming more distributed than before. It becomes challenging to manage such a system in a centralized way, because a central authority may not exist or may not be trusted by all parties. Blockchain is a promising tool to address this challenge, by enabling trusted collaboration in the absence of a trusted central authority. Its use in the energy sector has been pioneered by several pilot projects. However, to date the energy sector has not seen large-scale deployment of blockchain, partly because the founders of those pilot projects, the public, and utilities have not reached consensus on the values and limitations of blockchain in energy. This perspective aims to bridge this gap. First, the philosophy and unique values of blockchain are discussed. Second, some promising blockchain-based applications in energy systems are presented. Third, some common misunderstandings of blockchain in energy are discussed. Last, some frequently-asked questions from utilities are discussed. Hopefully this perspective can help advance large-scale deployment of blockchain in energy systems.

Keywords： blockchain     immutability     energy trading     energy management     data synchronization    

HTML PDF Collect

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Ren Jingli, Yang Pan

Strategic Study of CAE 2022, Volume 24, Issue 2,   Pages 152-159 doi: 10.15302/J-SSCAE-2022.02.012

Abstract: However, there is a lack of lifecycle data management system of nuclear power plants.a data management framework regarding lifecycle nodes and business flows of nuclear power plants.The urgent tasks for establishing a nuclear power plant lifecycle data management system include: (1)lifecycle data management to ensure the authenticity and traceability of the data; (3) digital twinsmanagement to realize the low-carbon, efficient, and sustainable development of data centers.

Keywords： digital transformation     nuclear power plant     lifecycle     data management     framework system    

HTML PDF Collect

Blockchain for Transparent Data Management Toward 6G Article

Xuemin (Sherman) Shen, Dongxiao Liu, Cheng Huang, Liang Xue, Han Yin, Weihua Zhuang, Rob Sun, Bidi Ying

Engineering 2022, Volume 8, Issue 1,   Pages 74-85 doi: 10.1016/j.eng.2021.10.002

Abstract:

The wealth of user data acts as a fuel for network intelligence toward the sixth generation wirelessDue to data heterogeneity and dynamics, decentralized data management (DM) is desirable for achievingtransparent data operations across network domains, and blockchain can be a promising solution.However, the increasing data volume and stringent data privacy-preservation requirements in 6G bringThird, we categorize DM privacy requirements and study blockchain-based mechanisms for collaborative data

Keywords： Blockchain     Data management     Decentralization     Transparency     Privacy    

HTML PDF Collect

building information modeling, mixed reality, and a cloud platform to support information flow in facility management

Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 131-141 doi: 10.1007/s42524-019-0071-y

Abstract: The quality of information flow management has a remarkable effect on the entire life cycle of buildingsassessment leads to increased cost and time and efficiency reduction, especially during the facility managementTechnicians can benefit from real-time communication with the data repository whenever the need for gatheringcontextual information and/or updating any data in the digital model arises.

Keywords： information flow management     BIM     mixed reality     common data environment     facility management    

HTML PDF Collect

Development and Suggestion on the Comprehensive Automation of Process Industry

Huang Dao,Li Guanghua

Strategic Study of CAE 2000, Volume 2, Issue 12,   Pages 52-58

Abstract:

The rapid development of industrial automation has brought favorable requirements for the chemical enterprises to carry out comprehensive automation. This article brings forward the three-strata structure of the comprehensive automation, describes it in concepts, and discusses the key problems which should be paid attention to during its process. Finally, an example project is briefly introduced on the basis of the understanding which is acquired through practical implementation of comprehensive automation for chemical enterprises.

Keywords： process industry     CIMS     comprehensive automation     product data management (PDM)    

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.As one of the important functions of management decision-making, evaluation has been given more functionsExploring the applicable evaluation methods in the big data environment has become an important subjectWe 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

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

HTML PDF Collect

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

HTML PDF Collect

Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied Article

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Engineering 2020, Volume 6, Issue 7,   Pages 835-846 doi: 10.1016/j.eng.2019.11.014

Abstract: intelligence (AI) in a smart society, in which the analysis of human habits is mandatory, requires automated dataand operative processes, a dedicated method is required to manage and extract the massive amount of datapresented in this work aims to reduce this gap with near-zero-failure advanced diagnostics (AD) for smart management, which is exploitable in any context of Society 5.0, thus reducing the risk factors at all managementWe have also developed innovative applications for a humancentered management system to support scheduling

Keywords： Smart maintenance     Smart society     Artificial intelligence     Human-centered management system     Big data    

HTML PDF Collect

Title Author Date Type Operation

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

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

Jing LIN, Uday KUMAR

Journal Article

Integrated approach to winery waste: waste generation and data consolidation

Margarida OLIVEIRA,Elizabeth DUARTE

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Journal Article

Blockchain in energy systems: values, opportunities, and limitations

Journal Article

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Ren Jingli, Yang Pan

Journal Article

Blockchain for Transparent Data Management Toward 6G

Xuemin (Sherman) Shen, Dongxiao Liu, Cheng Huang, Liang Xue, Han Yin, Weihua Zhuang, Rob Sun, Bidi Ying

Journal Article

building information modeling, mixed reality, and a cloud platform to support information flow in facility management

Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI

Journal Article

Development and Suggestion on the Comprehensive Automation of Process Industry

Huang Dao,Li Guanghua

Journal Article

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

Feng YANG, Manman WANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Journal Article