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Recent Progress on Data-Based Optimization for Mineral Processing Plants

Jinliang Ding,Cuie Yang,Tianyou Chai

Engineering 2017, Volume 3, Issue 2, Pages 183-187 doi: 10.1016/J.ENG.2017.02.015

Abstract: This paper briefly overviews recent progress in data-driven hybrid intelligence optimization methodsNext, we summarize recent progress in data-based optimization for mineral processing plants.This optimization consists of four layers: optimization of the target values for monthly global productionindices, optimization of the target values for daily global production indices, optimization of theFinally, we point out opportunities for future works in data-based optimization for mineral processing

Keywords： Data-based optimization Plant-wide global optimization Mineral processing Survey

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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: Behavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior.This paper introduces the study on big data-based metro construction behavior modification, aiming toFirst, the behavior modification pushing mechanism based on content-based personalized recommendation

Keywords： big data unsafe behavior behavior modification behavior-based safety (BBS) unsafe behavior rate

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

Frontiers in Energy 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(IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimizationThe day-ahead optimization stage aims at the lowest operating cost, the rolling optimization stage aimspower fluctuation, eliminating the impact of prediction errors through coordinated multi-timescale optimization

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

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Study of operation optimization based on data mining technique in power plants

LI Jianqiang, LIU Jizhen, GU Junjie, NIU Chenglin

Frontiers in Energy 2007, Volume 1, Issue 4, Pages 457-462 doi: 10.1007/s11708-007-0067-1

Abstract: The determination of operation optimization value is very important for economic analysis and operationoptimization in power plants.The operation optimization value determined by traditional methods usually cannot reflect the ac

Keywords： traditional optimization determination economic analysis important

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Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Frontiers of Engineering Management 2021, Volume 8, Issue 2, Pages 157-171 doi: 10.1007/s42524-020-0126-0

Abstract: First, this study describes a general methodology for the fusion of data analytics and optimization.Then, it identifies some data analytics and system optimization technologies to handle key issues inFinally, it provides a four-level framework for smart industry based on the theoretical and technologicalresearch on the fusion of data analytics and optimization.The fusion of data analytics and optimization allows enterprises to enhance the prediction and control

Keywords： data analytics system optimization smart industry

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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: study first comprehensively reviews the main characters of blockchain and identifies the blockchain-based; (2) data rights; (3) health data supervision; (4) and willingness to share health data.Furthermore, three application scenarios including distributed storage of health data, smart-contract-basedhealthcare service mode, and consensus-algorithm-based incentive policy are proposed to shed light onHDB-based healthcare service mode.

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

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Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 138-144 doi: 10.1007/s11465-015-0333-2

Abstract:

The reliability-based design optimization, the reliability sensitivity analysis and robust designoptimization of vehicle components.A procedure for reliability-based robust design optimization of vehicle components is proposed.Application of the method is illustrated by reliability-based robust design optimization of axle anddesign optimization of vehicle components.

Keywords： vehicle components reliability-based design optimization reliability-based sensitivity analysis multi-objectiveoptimization robust design

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A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4, Pages 543-551 doi: 10.1007/s11783-011-0369-4

Abstract: Recently, a building-based air quality model system which can predict air quality in front of individualin data capture and data mining., the building-based approach can extract the street configuration and traffic data building by buildingThe study shows that the building-based approach may open an innovative methodology in data mining ofurban spatial data for environmental assessment.

Keywords： traffic air pollution spatial distribution high resolution geographic information system

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Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 145-153 doi: 10.1007/s11465-015-0334-1

Abstract:

The reliability-based optimization, the reliability-based sensitivity analysis and robust design methodare employed to propose an effective approach for reliability-based robust design optimization of vehicleApplications of the method are further discussed for reliability-based robust optimization of vehicleResults have shown the proposed method is an efficient method for reliability-based robust design optimization

Keywords： vehicle axles and springs reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust design

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Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1471-x

Abstract:

• Hg bioaccumulation by phytoplankton varies among aquatic ecosystems.

Keywords： bioaccumulation Physiological characteristics A cross-system analysis Nutrient compositions Global data

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6, Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: The self-organizing-map part maps the input data into multiple two-dimensional planes and sends thempreviously introduced self-organizing-map convolutional neural network model, thus leading to more accurate optimization

Keywords： hydrocracking convolutional neural networks self-organizing map deep learning data-driven optimization

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Data sharing mechanism of various mineral resources based on blockchain

Yili REN, Jia LIANG, Jian SU, Gang CAO, He LIU

Frontiers of Engineering Management 2020, Volume 7, Issue 4, Pages 592-604 doi: 10.1007/s42524-020-0132-2

Abstract: the right of data, and lack of incentive mechanism, which make achieving real data sharing difficult.In this paper, we propose a data-sharing mechanism based on blockchain and provide implementation suggestionsCompared with traditional data-sharing methods, the proposed data-sharing mechanism can realize datasharing, ensure data quality, and protect intellectual property.system based on blockchain proposed in this paper.

Keywords： data sharing blockchain various mineral resources collaborative exploration big data

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: and scheduling, real world problems cannot be fully captured considering only a single objective for optimizationIn this paper, an optimization algorithm for solving MOIPPS problem is presented.To compare the results with other algorithms, a C-matric based method has been used.

Keywords： integrated process planning and scheduling (IPPS) dispatching rules priority based optimization algorithm multi-objective optimization

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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 in medical field for clinical research and assessment.clinical evaluation based on sampling.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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Massively efficient filter for topology optimization based on the splitting of tensor product structure

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0710-6

Abstract: In this work, we put forward a massively efficient filter for topology optimization (TO) utilizing thewhich the sensitivity analysis is reformulated for the nodal design variables without altering the optimization

Keywords： topology optimization isogeometric analysis finite element analysis tensor product structure sensitivity