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Development and case study of a new-generationmodel-VAT for analyzing the boundary conditions influence on atmosphericmercury simulation

Wenwei Yang, Yun Zhu, Carey Jang, Shicheng Long, Che-Jen Lin, Bin Yu, Zachariah Adelman, Shuxiao Wang, Jia Xing, Long Wang, Jiabin Li

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 1, doi: 10.1007/s11783-018-1010-6

Abstract: To interpret the complicated atmospheric modelsimulations, a new-generation Model Visualization and AnalysisTool(Model-VAT) has been developed for scientists to analyze the modeldata and visualize the simulationThe Model-VAT incorporatesanalytic functions of conventional tools and enhanced capabilitiesin flexiblyof Model-VAT enhancesthe efficiency of analyzing and comparing the model results from variousatmosphericmodel simulations.

Keywords： Model and data visualization     Model and data analysis     CMAQ     Boundary conditions     Mercury    

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Explainable data transformation recommendation for automatic visualization Research Article

Ziliang WU, Wei CHEN, Yuxin MA, Tong XU, Fan YAN, Lei LV, Zhonghao QIAN, Jiazhi XIA,wzlzju@zju.edu.cn,chenvis@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 1007-1027 doi: 10.1631/FITEE.2200409

Abstract: generates meaningful visualizations to support data analysis and pattern finding for novice or casualusers who are not familiar with visualization design.Current approaches adopt mainly aggregation and filtering to extract patterns from the original data

Keywords： Data transformation     Data transformation recommendation     Automatic visualization     Explainability    

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Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Strategic Study of CAE 2003, Volume 5, Issue 12,   Pages 73-79

Abstract: In order to strengthen the commonness and agility of model, some human interventions are in an in-depthand particular consideration in building the mathematics model.

Keywords： rock-fill dam construction     earth allocation     dynamic allocation     linear programming     visualization    

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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 optimization

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

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Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization

Alap Ali ZAHID, Syed Raza ur REHMAN, Anwarul HASAN, S. RUSHD, Mohammad Azizur RAHMAN

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 635-643 doi: 10.1007/s11708-018-0582-y

Abstract: The visualization technique developed in this paper has a direct application in investigating the critical

Keywords： visualization     horizontal annulus     hole cleaning     multiphase flow     image analysis     flow regime    

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: The proposed model is simple and easy to use with parameters optimized automatically.

Keywords： minimal-redundancy-maximal-relevance (mRMR)     principal component analysis (PCA)     locally weighted learning model    

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QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 306-332 doi: 10.15302/J-FASE-2023488

Abstract:

● Using visual analysis to predict the trend of natural product pest resistance.

Keywords： anti-pest activity     crop protection     insect pest     natural product     visual analysis    

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Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 311-321 doi: 10.1007/s11709-019-0593-8

Abstract: The use of data driven models has been shown to be useful for simulating complex engineering processes, when the only information available consists of the data of the process.In this study, four data-driven models, namely multiple linear regression, artificial neural network,In addition for each model, two different sets of input variables are examined: a complete set and aalso to the equations of NIST Technical Note standard and demonstrate the suitability of using the data

Keywords： data driven model     compressive strength     concrete     high temperature    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: In this study, we build a power consumption carbon emission measurement model based on the operatingMoreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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The Research of Discovery Feature Sub-space Model (DFSSM) Based on Complex Type Data

Yang Bingru,Tang Qing

Strategic Study of CAE 2003, Volume 5, Issue 1,   Pages 56-61

Abstract: Second, the general structure model is constructed based on complex type data—DFSSM (discoveryfeature sub-space model ) following by the research on inner mechanism of knowledge discovery system.At last, the authors prove the practicability and validity of this general structure model i. e.DFSSM which can guide the knowledge discovery of textual data and image data (meteorological echogramdata).

Keywords： complex type data     data mining     text 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: p>Correlation analysis and processing of massive medical information can be implemented through big dataThis paper explores the concept of constructing a big medical data platform and introduces the clinicalmodel construction.Medical data can be collected and consolidated by distributed computing technology.Through analysis technology, such as artificial neural network and grey model, a medical model can be

Keywords： big data     correlation analysis     medical information     integration     data analysis     clinical model    

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Study on Data Locality and Its Optimization Technologies in Multiprocessor Systems

Yang Xuejun,Dai Huadong,Xia Jun

Strategic Study of CAE 2002, Volume 4, Issue 5,   Pages 44-52

Abstract:

As one of the most important issues in multiprocessor systems, data locality is a main direction ofachievements by the authors with the current state of studies in this field, a systematic discussion on dataDriven by the deficiency of current locality measurement models, an enhanced model suitable for hierarchyBesides, from the viewpoint of static locality optimization technologies, a data transformation frameworkconsistency model was put forward.

Keywords： computer     multiprocessorsystem     data locality     locality measurement model     data transformation framework     page migration     thread consistency model    

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Determination of shear strength of steel fiber RC beams: application of data-intelligence models

Abeer A. AL-MUSAWI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 667-673 doi: 10.1007/s11709-018-0504-4

Abstract: aims to determine the shear strength of steel fiber reinforced concrete beams using the application of data-intelligenceFor the considered data-intelligence models, the input matrix attribute is one of the central elementin attaining accurate predictive model.Hence, various input attributes are constructed to model the shear strength “as a targeted variable”.The final results obtained indicated that the hybrid predictive model of ANN-PSO can be used efficiently

Keywords： hybrid intelligence model     shear strength     prediction     steel fiber reinforced concrete    

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3D Modeling and Visualization of Virtual Construction Grou p

Zhang Zhengfeng,Fu Jinqiang,Zhang Fayu

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 53-56

Abstract:  Taking into account the matching of 3D object with terrain model,  the visualization processesof digital city are analyzed. 3D modeling and visualization of residential district are realized.

Keywords： virtual construction group     3D modeling     visualization     terrain match    

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Several hot spots in engineering computing visualization

Zheng Peng,He Tiening

Strategic Study of CAE 2009, Volume 11, Issue 9,   Pages 44-47

Abstract:

Visualization technique confronts great challenges raised by large-scaleKey research problems such as visualization expression, algorithm optimization and integrated solvingconcluded that communication with application fields should be attached more importance to development of visualization

Keywords： engineering computing     engineering numerical simulation     visualization    

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Title Author Date Type Operation

Development and case study of a new-generationmodel-VAT for analyzing the boundary conditions influence on atmosphericmercury simulation

Wenwei Yang, Yun Zhu, Carey Jang, Shicheng Long, Che-Jen Lin, Bin Yu, Zachariah Adelman, Shuxiao Wang, Jia Xing, Long Wang, Jiabin Li

Journal Article

Explainable data transformation recommendation for automatic visualization

Ziliang WU, Wei CHEN, Yuxin MA, Tong XU, Fan YAN, Lei LV, Zhonghao QIAN, Jiazhi XIA,wzlzju@zju.edu.cn,chenvis@zju.edu.cn

Journal Article

Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Journal Article

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

Journal Article

Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization

Alap Ali ZAHID, Syed Raza ur REHMAN, Anwarul HASAN, S. RUSHD, Mohammad Azizur RAHMAN

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE

Journal Article

Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Journal Article

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

The Research of Discovery Feature Sub-space Model (DFSSM) Based on Complex Type Data

Yang Bingru,Tang Qing

Journal Article

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Journal Article

Study on Data Locality and Its Optimization Technologies in Multiprocessor Systems

Yang Xuejun,Dai Huadong,Xia Jun

Journal Article

Determination of shear strength of steel fiber RC beams: application of data-intelligence models

Abeer A. AL-MUSAWI

Journal Article

3D Modeling and Visualization of Virtual Construction Grou p

Zhang Zhengfeng,Fu Jinqiang,Zhang Fayu

Journal Article

Several hot spots in engineering computing visualization

Zheng Peng,He Tiening

Journal Article