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Discussions in prediction and precaution about haze

Zhang Kui

Strategic Study of CAE 2015, Volume 17, Issue 1, Pages 103-113

Abstract:

Aimed at the harmfulness of low visibility weather， using digital information method found the relationshipbetween occurrence， development of haze and geothermal， and the change of atmospheric structure characteristicsPrediction and precaution of haze need to correctly grasp tumble state of the lower atmosphere near theThe formation of haze both has anthropogenic emissions also has the release of underground pollutantsAnd geothermal can be taken as premonitory information of haze weather forecast.

Keywords： visibility； haze； digital information prediction method； precaution

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Researching on the Digital Information Systems of Mine and Its Application

Qin Dexian,Chen Aibing,Yan Yongfeng,Gao Zhiwu,Yang Jianyu

Strategic Study of CAE 2005, Volume 7, Issue 4, Pages 47-53

Abstract:

The article introduces several digital information systems of mine which established on PC platform

Keywords： mine digital information systems dynamic management rational utilization of resources ore-forming prediction

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Design of a digital currency information system based on the UnionPay network

Hongfeng CHAI, Quan SUN, Yu ZHOU, Tao ZHU

Frontiers of Engineering Management 2020, Volume 7, Issue 4, Pages 471-484 doi: 10.1007/s42524-020-0134-0

Abstract: Therefore, digital currency has received widespread attention from central banks in recent years.This study uses the UnionPay network as basis to systematically propose a digital currency informationexpounds on the operation mechanism of a digital currency information system prototype.to realize the forward guidance function of the central bank digital currency.currency information system and its technical challenges, aiming to provide beneficial guidance and

Keywords： UnionPay network digital currency information system blockchain smart contracts

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Prediction of the flash points of alkanes by group bond contribution method using artificial neural networks

PAN Yong, JIANG Juncheng, WANG Zhirong

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 4, Pages 390-394 doi: 10.1007/s11705-007-0071-z

Abstract: bond contribution model using artificial neural networks, which had the high ability of nonlinear of predictionThis model contained not only the information of group property but also connectivity in molecules.The method can be used not only to reveal the quantitative correlation between flash points and molecular

Keywords： information nonlinear quantitative correlation superior molecular

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.The proposed method is verified by an underwater image dataset captured in real underwater environmentTest results exhibit that the method can correct the color deviation and improve the quality of underwater

Keywords： turbidity underwater image enhancement image fusion underwater robots visibility

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Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Aiming at surface roughness prediction in the machining process, this paper proposes a position-varyingsurface roughness prediction method based on compensated acceleration by using regression analysis.i>R-square proving the effectiveness of the filtering features, is selected as the input of the predictionmodel by mutual information coefficients.Moreover, the prediction curve matches and agrees well with the actual surface state, which verifies

Keywords： surface roughness prediction compensated acceleration milling thin-walled workpiece

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Digital-Twin-Enhanced Quality Prediction for the Composite Materials Article

Yucheng Wang, Fei Tao, Ying Zuo, Meng Zhang, Qinglin Qi

Engineering 2023, Volume 22, Issue 3, Pages 23-33 doi: 10.1016/j.eng.2022.08.019

Abstract: To address this problem, a digital twin (DT) visual model of a composite material is first constructedFeatures are added to the proposed model by generating simulated data to enhance the quality predictionAn extreme learning machine (ELM) for quality prediction is trained with the generated data.Finally, the effectiveness of the proposed method is verified through result analysis.

Keywords： Digital twin Quality prediction Composites Coupling models

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Characterization of bacterial communities during persistent fog and haze events in the Qingdao coastal

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1334-x

Abstract:

• Light haze had little effect on bacterial communities.

Keywords： Bacterial community Persistent fog and haze Particle size

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Digital twin for healthy indoor environment: A vision for the post-pandemic era

Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 300-318 doi: 10.1007/s42524-022-0244-y

Abstract: The advancement in emerging digital twin technologies including building information modeling (BIM),There is a critical need for understanding and envisaging how digital twin paradigms can be geared towardsTherefore, this study reviews the techniques for developing digital twins and discusses how the techniquesMoreover, this paper elaborates a vision for future research on integrated digital twins for a healthytwin modeling and smart building services and presenting the research roadmap for digital twin-enabled

Keywords： digital twin healthy indoor environment building information modeling occupant–building interaction

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Investigation and practice of digital city to smart city

Li Chengming,Liu Xiaoli

Strategic Study of CAE 2013, Volume 15, Issue 5, Pages 4-7

Abstract:

First of all, the necessity of the authentic, unique and universal digital

Keywords： digital city smart city cloud platform of spatiotemporal information

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A method of digitized weather forecasting of meteorological satellite remote sensing information

Chen Gangyi,Li Yueqing,Hou Kai

Strategic Study of CAE 2010, Volume 12, Issue 3, Pages 33-38

Abstract:

In this paper, using the infrared nephogram and the black-body temperature (the cloud Top Block Body temperature,TBB) from the GMS-5 satellite of Japan, the process of the occurrence, development and dying out of rainstorm are analyzed. At the same time, the Wuhan"98·7" Rainstorm would be delicately forecasted for in case. It is better effect to forecast rainstorm.

Keywords： satellite remote sensing digital rainstorm forecast black-body temperature

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M-LFM: a multi-level fusion modeling method for shape−performance integrated digital twin of complex

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0708-0

Abstract: To leverage its capacity, the M-LFM method combines the advantages of different surrogate models andintegrates simulation and measured data, which can improve the prediction accuracy of dynamic stressA telescopic boom crane is used as an example to verify the proposed framework for stress predictionaccuracy of the stress prediction compared with the polynomial response surface method and the krigingmethod.

Keywords： shape−performance integrated digital twin (SPI-DT) multi-level fusion modeling (M-LFM) surrogate model

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Building Information and Physical Model: A Novel Form of Information Description for Buildings

Yang Qiliang, Xing Jianchun

Strategic Study of CAE 2023, Volume 25, Issue 5, Pages 222-232 doi: 10.15302/J-SSCAE-2023.07.027

Abstract:

Information is the core element to drive human‒cyber‒physical collaborationsMore realistic and efficient description and sharing of building information has always been andescription for buildings, namely a building information and physical model (BIPM), for realizingthe true mapping and collaboration from building physical entities to the information space.building industry,involving architectural design, construction, operation and maintenance, and urban digital

Keywords： architectural information description information modeling technology building information model digital

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New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2, Pages 249-253 doi: 10.1007/s11465-011-0124-3

Abstract:

This paper introduces the basic conception of information fusion and some fusion diagnosis methodsFrom the thought of the information fusion, a new quantitative feature index monitoring and diagnosingthe vibration fault of rotating machinery, which is called distance of information entropy, is put forwardThe mathematic deduction suggests that the conception of distance of information entropy is accordantThrough calculation it has been proved that this method can effectively distinguish different fault types

Keywords： rotating machinery information fusion fault diagnosis Information entropy distance of the information

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Modeling radiative effects of haze on summer-time convective precipitation over North China: a case study

Xuying WANG, Bin ZHANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0840-3

Abstract: We modeled the impact of haze radiative effects on precipitation in North China.Shortwave heating induced by haze radiative effects would reduce heavy rainfalls.The impact of haze radiative effect on summertime 24-h convective precipitation over North China wasThe haze radiative effect was represented by incorporating an idealized aerosol optical profile, withHaze weakened the convection over places with precipitation suppression exceeding 30 mm and caused less

Keywords： Haze Aerosol radiative effects Convective precipitation