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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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Risk Assessment and Control of Space Assets

Zhang Dongjiang , Gao Zhijie , Yang Zhitao , Zhang Xinwen , Lan Ding

Strategic Study of CAE 2024, Volume 26, Issue 1,   Pages 239-250 doi: 10.15302/J-SSCAE-2024.01.018

Abstract:

Space assets are crucial resources for a nation, and effectively managingFirst, this study clarifies the definition and scope of space assets.In a narrow sense, space assets encompass all spacecraft in orbit.Broadly speaking, space assets also comprise related physical and intangible assets.management risks (referring mainly to mismatches in management systems, leading to loss of intangible assets

Keywords： space assets     risk assessment     value model     risk control     risk classification    

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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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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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Promoting High-Quality Development in Qinba Mountainous Area with Regional Synergy

Sun Zhiyan, Shi Shujie

Strategic Study of CAE 2020, Volume 22, Issue 1,   Pages 25-31 doi: 10.15302/J-SSCAE-2020.01.004

Abstract:

The Qinba mountainous area is one of the 11 contiguous poverty-stricken areas in China and has remarkable ecological values. It is significant to push higher quality development in this region. Based on a systematic investigation on economic and social development in regional cities, this study made a quantitative analysis on spatial correlation and industrial structure similarity among cities with different levels of development surrounding the Qinba mountainous area. The results reveal that the core cities in this region play a relatively weak role in stimulating the development of surrounding areas and have almost no interaction with the underdeveloped areas; the high industry homogeneity has become the bottleneck restricting the endogenous economic growth; and the ecological screen function of the Qinba mountainous area has been excessively “fragmented” due to the development pattern based on jurisdiction, resulting in increasingly serious ecological problems. In view of this, this study suggests that we should focus on the integrity of the Qinba Mountain ecosystem, change the idea of development, break the administrative restrictions, strengthen the toplevel design and strategic guidance at the national level, and promote the higher quality development of the Qinba mountainous area in a more synergy way.

Keywords： Qinba mountainous area     regional synergy     high-quality development     ecological assets    

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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: Data enabling technology plays an important role in modern scientific discovery and technologic advancementFactual data enables managers to measure, to understand their businesses, and to directly translate thatareas: 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 dataacquisition and data analytics.

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

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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

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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: One recent area of interest in computer science is data stream management and processing.By ‘data stream’, we refer to continuous and rapidly generated packages of data.Specific features of data streams are immense volume, high production rate, limited data processing time, and data concept drift; these features differentiate the data stream from standard types of data.An issue for the data stream is classification of input data.

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

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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 intouse 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.    

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Research on Statistical Accounting Methods for Ecological Civilization in China

Shi Qingyan and Zhou Jing

Strategic Study of CAE 2017, Volume 19, Issue 4,   Pages 67-73 doi: 10.15302/J-SSCAE-2017.04.011

Abstract: construction begins with the creation of an accounting and statistical system that can provide reliable dataAlthough there are data on the resources and environment of China, they cannot be effectively integrated

Keywords： SEEA2012-CF     statistical system     accounting framework     natural resources balance sheet     environmental assets    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy 2024, Volume 18, Issue 1,   Pages 28-41 doi: 10.1007/s11708-023-0912-6

Abstract: With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energyIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centers

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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Integrated Development of Rail Transit and Energies in China: Development Paths and Strategies

Jia Limin,Cheng Peng,Zhang Zhe,Ji Li,Xu Chunmei

Strategic Study of CAE 2022, Volume 24, Issue 3,   Pages 173-183 doi: 10.15302/J-SSCAE-2022.03.018

Abstract:

Rail transit features high levels of energy consumption and carbon emission; therefore, transforming its energy structure and developing a novel rail transit energy system with self-consistent energy supply become significant approaches for realizing carbon peak and neutrality in China. In this article, we first review the demand for the integrated development of rail transit and energies, summarize the current status and development trends of the integration, and analyze natural endowments for the integration in terms of solar and wind resources. Subsequently, based on the characteristics of electrified and non-electrified rail transits, critical technology paths are proposed considering the natural endowments of renewable energies. Moreover, based on the assessment of self-consistent supply potentials of new energies, a series of scenarios and methods are introduced. A roadmap and suggestions are proposed for rail-energy integration development, aiming to a self-consistent energy system construct for rail transit. The suggestions include: (1) encouraging technology innovation regarding green and intelligent rail transit to form a technology system for rail-energy integration; (2) implementing major scientific and technological projects to coordinate the industrial layout of new energy and rail transit; and (3) formulating support policies to create a policy guarantee system for green finance.

Keywords： rail transit     energization of infrastructure assets     natural endowments     self-consistent supply     integrated    

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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 becomeof diagnosis and treatment, and genomic data have been accumulated dramatically, which generates bigdata in medical field for clinical research and assessment.creation, data analysis technology and big-data professionals fostering and training.

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

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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

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Title Author Date Type Operation

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Risk Assessment and Control of Space Assets

Zhang Dongjiang , Gao Zhijie , Yang Zhitao , Zhang Xinwen , Lan Ding

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

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Promoting High-Quality Development in Qinba Mountainous Area with Regional Synergy

Sun Zhiyan, Shi Shujie

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

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

Research on Statistical Accounting Methods for Ecological Civilization in China

Shi Qingyan and Zhou Jing

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Integrated Development of Rail Transit and Energies in China: Development Paths and Strategies

Jia Limin,Cheng Peng,Zhang Zhe,Ji Li,Xu Chunmei

Journal Article

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Journal Article

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

Journal Article