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Key tunneling technology and configuring big machines in Qingdao Jiaozhouwan subsea tunnel

Ma Dong,Tan Zhongsheng

Strategic Study of CAE 2009, Volume 11, Issue 7, Pages 45-52

Abstract: maximum seawater depth is 42 m and the minimal rock cover depth is 30 m.The key tunneling technology and configuringbig machines of drilling and blast for constructing Qingdao Jiaozhouwan subsea tunnel were discussed

Keywords： Jiaozhouwan subsea tunnel drilling & blast construct configuring big machines

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Two-stage scheduling on batch and single machines with limited waiting time constraint

Zhongshun SHI, Zewen HUANG, Leyuan SHI

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 368-374 doi: 10.15302/J-FEM-2017034

Abstract: This study addresses the problem of two-stage scheduling on batch and single machines with limited waiting

Keywords： batch machine flow shop makespan limited waiting time

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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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Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2, Pages 199-209 doi: 10.1007/s11465-012-0315-6

Abstract:

Due to the demand of reconfigurable system in parallel kinematic machines (PKMs), modular design technology

Keywords： parallel kinematic machines (PKMs) modular design classification topology optimization and improved Guide-Weight

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An energy consumption prediction approach of die casting machines driven by product parameters

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 868-886 doi: 10.1007/s11465-021-0656-0

Abstract: Die casting machines, which are the core equipment of the machinery manufacturing industry, consume greatThe energy consumption prediction of die casting machines can support energy consumption quota, processNevertheless, due to the uncertainty and complexity of the energy consumption in die casting machinesTo fill this gap, this paper proposes an energy consumption prediction approach for die casting machinesConsequently, a systematic energy consumption prediction approach for die casting machines, involving

Keywords： die casting machine energy consumption prediction product parameters

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Comments from young scholars: Can machines completely replace humans in manufacturing processes?

Shanlin YANG

Frontiers of Engineering Management 2018, Volume 5, Issue 4, Pages 541-547 doi: 10.15302/J-FEM-2018207

Abstract:

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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 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

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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 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

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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 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

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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

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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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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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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines

Keywords： fault recognition fault localization multi-sensor relations network analysis graph neural network

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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 medicine

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

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Research and Development in the Field of Parallel Kinematic Machines

Wang Jinsong,Li Tiemin,Duan Guanghong

Strategic Study of CAE 2002, Volume 4, Issue 6, Pages 63-70

Abstract:

Parallel kinematic machines are in the process of industrialization.In this paper, research and development of parallel kinematic machines is investigated from various aspects

Keywords： parallel manipulator parallel kinematic machines(PKM) drive control system