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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: as 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.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

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Information Science Should Take a Lead in Future Biomedical Research Perspective

Kenta Nakai

Engineering 2019, Volume 5, Issue 6, Pages 1155-1158 doi: 10.1016/j.eng.2019.07.023

Abstract: science and biomedicine from a long-range retrospective view.Since all life systems are basically governed by the information in their own DNA, information scienceThese data can be regarded as grid data points in climate simulation.Both data science and AI will become essential for the integrative interpretation/simulation of thesedata, and will take a leading role in future precision medicine.

Keywords： Data science Artificial intelligence Next-generation sequencing DNA Cancer genome Single-cell transcriptomics

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Coordinated Development of Space Science, Space Technology, and Space Application in China

Zhou Jianping, Wu Ji

Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 59-66 doi: 10.15302/J-SSCAE-2023.02.007

Abstract: industry initially focused on space technology and application, with insufficient emphasis on space science; therefore, space science, technology, and application developed independently. The development of space technology should be deeply integrated into space science and applicationThis study explores the implications of space science, space technology, and space application andshould be strengthened to promote the rational opening and full utilization of space application data

Keywords： aerospace industry space science space technology space application coordinated development sharingof space data

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Data-Driven Learning for Data Rights, Data Pricing, and Privacy Computing Review

Jimin Xu, Nuanxin Hong, Zhening Xu, Zhou Zhao, Chao Wu, Kun Kuang, Jiaping Wang, Mingjie Zhu, Jingren Zhou, Kui Ren, Xiaohu Yang, Cewu Lu, Jian Pei, Harry Shum

Engineering 2023, Volume 25, Issue 6, Pages 66-76 doi: 10.1016/j.eng.2022.12.008

Abstract: review of these studies in the fields of machine learning and data science.transaction: data rights, data pricing, and privacy computing.By connecting these topics, this paper provides a big picture of a data ecosystem in which data is generatedby data subjects such as individuals, research agencies, and governments, while data processors acquiredata for innovational or operational purposes, and benefits are allocated according to the data&rsquo

Keywords： Data science Artificial intelligence Data rights Data pricing Privacy computing

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The State of the Art of Data Science and Engineering in Structural Health Monitoring Article

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Engineering 2019, Volume 5, Issue 2, Pages 234-242 doi: 10.1016/j.eng.2018.11.027

Abstract: of sensors and instruments, followed by a diagnosis of the structural health based on the collected dataThe techniques related to massive data are referred to as data science and engineering, and include acquisitionThis paper provides a brief review of the state of the art of data science and engineering in SHM asinvestigated by these authors, and covers the compressive sampling-based data-acquisition algorithm,the anomaly data diagnosis approach using a deep learning algorithm, crack identification approaches

Keywords： Structural health monitoring Monitoring data Compressive sampling Machine learning Deep learning

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Preference transfer model in collaborative filtering for implicit data Project supported bythe National Basic Research Program (973) of China (No. 2012CB316400) and the National Natural Science Article

Bin JU,Yun-tao QIAN,Min-chao YE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6, Pages 489-500 doi: 10.1631/FITEE.1500313

Abstract: Traditionally, the prediction uses the user item co-occurrence data based on users’ buying behaviors.demonstrate that the proposed preference transfer model outperforms the other methods on the Alibaba Tmall data

Keywords： Recommender systems Collaborative filtering Preference transfer model Cross domain Implicit data

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Deng Qiancheng: Big Data Intelligence and Knowledge Service Practice in the Field of Engineering Science

23 Apr 2021

Keywords：大数据

Qian Xuesen's View on Geographical Science

Ma Ainai

Strategic Study of CAE 2002, Volume 4, Issue 1, Pages 1-8

Abstract:

This paper introduces Qian Xuesen´s view on geographical science.In modern human knowledge system which consists of eleven departments Qian takes geographical scienceas the “bridge science”or confluence science between natural science and social science.by the authors organization, which may corroborate each other with Qian´s view on geographical scienceThey include the following aspects： 1) Geographical science is an anastomosis of geography, ecosystem

Keywords： geographical science theoretical geographical science geographical information science geographical system

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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 subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe 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

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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

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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

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Thoughts on Modern Engineering Science Technology Development in China

Zhao Shaokui,Yang Yongtai

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 22-30

Abstract:

Based on the discussion of the course of science and technology development, this paper expounds theimportant role of “modern management science”，“modern system science” and “complexity science” in modern engineering science technology development and puts forward someimportant problems in engineering science technology development in China.

Keywords： engineering science technology modern management science modern system science complex-ity science

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Bridging science, technology and policy in emerging contaminants control

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 5, doi: 10.1007/s11783-023-1665-5

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Mine Disaster Science——The Systematic Science for Disasters Reduction and Mine Safety

Zhou Lihua

Strategic Study of CAE 2003, Volume 5, Issue 7, Pages 90-94

Abstract:

Mine disaster science is a systematic science for mine safety and disaster reduction.

Keywords： mine disaster mine safety mine disaster science

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Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Article

Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu

Engineering 2019, Volume 5, Issue 4, Pages 730-735 doi: 10.1016/j.eng.2019.03.014

Abstract: the additive manufacturing (AM) of nickel (Ni)-based superalloys, the present work develops a novel data-drivenapproach that combines physics-based models, experimental measurements, and a data-mining method.ndash;properties (PSP) linkages, the simulation and experimental datasets are input to a data-miningThe proposed approaches can be utilized in AM and other data-intensive processes.Data-driven linkages between process, structure, and properties have the potential to benefit online

Keywords： Additive manufacturing Data science Multiphysics modeling Self-organizing map Microstructure Microhardness

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Title Author Date Type Operation

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Information Science Should Take a Lead in Future Biomedical Research

Kenta Nakai

Journal Article

Coordinated Development of Space Science, Space Technology, and Space Application in China

Zhou Jianping, Wu Ji

Journal Article

Data-Driven Learning for Data Rights, Data Pricing, and Privacy Computing

Jimin Xu, Nuanxin Hong, Zhening Xu, Zhou Zhao, Chao Wu, Kun Kuang, Jiaping Wang, Mingjie Zhu, Jingren Zhou, Kui Ren, Xiaohu Yang, Cewu Lu, Jian Pei, Harry Shum

Journal Article

The State of the Art of Data Science and Engineering in Structural Health Monitoring

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Journal Article

Preference transfer model in collaborative filtering for implicit data Project supported bythe National Basic Research Program (973) of China (No. 2012CB316400) and the National Natural Science

Bin JU,Yun-tao QIAN,Min-chao YE

Journal Article

Deng Qiancheng: Big Data Intelligence and Knowledge Service Practice in the Field of Engineering Science

23 Apr 2021

Conference Videos

Qian Xuesen's View on Geographical Science

Ma Ainai

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?