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Big data storage technologies: a survey Review

Aisha SIDDIQA, Ahmad KARIM, Abdullah GANI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8, Pages 1040-1070 doi: 10.1631/FITEE.1500441

Abstract: , termed ‘big data’.is due to the intention of fulfilling big data storage requirements.However, the available big data storage technologies are inefficient to provide consistent, scalable,Storage is the preliminary process of big data analytics for real-world applications such as scientificA well-defined taxonomy of big data storage technologies is presented to assist data analysts and researchers

Keywords： Big data Big data storage NoSQL databases Distributed databases CAP theorem Scalability Consistency

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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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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 subjectdata environment.We 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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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

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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 bigTo conduct clinical studies involved in big data in TCM domain, top level design is needed and shouldcreation, 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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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 medicinefeature subset optimizing, multi-label learning, and complex networks based on complexity, intelligence, data

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

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Urban spatial cluster structure in metro travel networks: An explorative study of Wuhan using big andopen data

Frontiers of Engineering Management 2024, Volume 11, Issue 2, Pages 231-246 doi: 10.1007/s42524-024-0296-2

Abstract: Rail transit plays a crucial role in improving urban sustainability and livability. In many Chinese cities, the planning of rail transit routes and stations is focused on facilitating new developments rather than revitalizing existing built-up areas. This approach reflects the local governments’ expectations of substantial growth to reshape the urban structure. However, existing research on transit-oriented development (TOD) rarely explores the spatial interactions between individual transit stations and investigates how they can be integrated to achieve synergistic effects and balanced development. This study proposes that rail transit systems impact urban structure through two “forces”: the provision of additional and reliable carrying capacity and the reduction of travel time between locations. Metro passenger flow is used as a proxy for these forces, and community detection techniques are employed to identify the actual and optimal spatial clusters in Wuhan, China. The results reveal that the planned sub-centers align reasonably well with the optimal spatial clusters in terms of spatial configuration. However, the actual spatial clusters tend to have longer internal travel times compared to the optimal clusters. Further exploration suggests the need for equalizing land use density within planned spatial clusters served by the metro system. Additionally, promoting concentrated, differentiated, and mixed functional arrangements in metro station areas with low passenger flows within the planned clusters could be beneficial. This paper presents a new framework for investigating urban spatial clusters influenced by a metro system.

Keywords： urban spatial clusters metro travel flows land use metro smartcard data Wuhan

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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 bigdata technology to find the relevance of different factors in the life cycle of a disease and to provideThis paper explores the concept of constructing a big medical data platform and introduces the clinicalMedical data can be collected and consolidated by distributed computing technology.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

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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: A CNN model can process data quickly and complete a large amount of data analysis in a specific situationIt is difficult to get enough slope data samples in practical engineering.In particular, the combination of typical actual slopes and generated slope data provides enough training

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

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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

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Utilizing big data to build personalized technology and system of diagnosis and treatment in traditional

Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 272-278 doi: 10.1007/s11684-014-0364-9

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Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics

Weiliang Wen,Shenghao Gu,Ying Zhang,Wanneng Yang,Xinyu Guo,

Engineering doi: 10.1016/j.eng.2024.06.001

Abstract: of the crop phenotyping industry and presents an industrial mapping of technology and equipment for bigdata in crop phenomics.the essentials of the standard framework in the research and development of hardware and equipment, dataacquisition, and the storage and management of crop phenotyping data.

Keywords： Crop phenomics Big data Phenotyping technology and equipment Standard framework Industrial mapping

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced dataprocessing, storage and analysis, advanced process control, artificial intelligence and machine learningessential element to this transformation is the exploitation of large amounts of historical process dataand large volumes of data generated in real-time by smart sensors widely used in industry.Exploitation of the information contained in these data requires the use of advanced machine learning

Keywords： big data machine learning artificial intelligence smart sensor cyber–physical system Industry 4.0

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Big Data to support sustainable urban energy planning: The EvoEnergy project

Moulay Larbi CHALAL, Benachir MEDJDOUB, Nacer BEZAI, Raid SHRAHILY

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 287-300 doi: 10.1007/s42524-019-0081-9

Abstract: consumption where we developed a 3D urban energy prediction system (EvoEnergy) using the old UK panel datasurvey, namely, the British household panel data survey (BHPS).aim, the household transition and energy prediction modules of EvoEnergy have been tested under both dataand had a good prediction accuracy (MAPE  5%) when compared to actual energy performance certificate data, to consider merging the BHPS and UKHLS data sets.

Keywords： urban energy planning sustainable planning Big Data household transition energy prediction