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Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 127-136 doi: 10.15302/J-SSCAE-2022.06.011

Abstract: in oncology; however, these data have not been fully explored owing to the disunity of data standardsand great difficulties in data management.management system for oncology, including the development of common data models for oncology, data collectionand security management, data standardization and structuring, data analysis and application, anddata quality control.

Keywords： clinical big data     management system     oncology     artificial intelligence     common data model     natural language    

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Optimization of urban bus operation frequency under common route condition with rail transit

Bin YU, Sijia REN, Enze WU, Yifan ZHOU, Yunpeng WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 451-462 doi: 10.15302/J-FEM-2017036

Abstract: The overlap of bus and rail transit routes is common in China.Given that buses and rail transits are becoming increasingly common, this paper aims to present the overlappedFrequency optimization model is established in the upper-level model.A lower-level Logit model based on Agent simulation is set for traffic mode split.Data on the transit system in Dalian city are chosen as an example to test the feasibility of the model

Keywords： common route     bus operation frequency     bi-level model     Agent simulation     SCE-UA algorithm    

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Advances in some common chronic liver diseases

Ke-Qin Hu

Frontiers of Medicine 2014, Volume 8, Issue 2,   Pages 127-128 doi: 10.1007/s11684-014-0341-3

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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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Framework based on building information modeling, mixed reality, and a cloud platform to support information flow in facility management

Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 131-141 doi: 10.1007/s42524-019-0071-y

Abstract: BIM tools integrate multiple levels of information within a single digital model of a building.Technicians can benefit from real-time communication with the data repository whenever the need for gatheringcontextual information and/or updating any data in the digital model arises.These studies set the standard for the development of a digital model of a building, which will be shared

Keywords： information flow management     BIM     mixed reality     common data environment     facility management    

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Influence of motor cable on common-mode currents in an inverter-fed motor drive system None

Peng-kang XIE, Jia-zheng LU, Guo-zhu CHEN, Heng-lin CHEN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 273-284 doi: 10.1631/FITEE.1601518

Abstract: However, high-frequency switching of power devices will cause common-mode (CM) voltages during operation

Keywords： Common-mode currents     Cable model     Motor drive system     Parameter extraction    

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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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Top-geoherbs of traditional Chinese medicine: common trait, quality characteristics and formation

Luqi Huang, Lanping Guo, Chaoyi Ma, Wei Gao, Qingjun Yuan

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 185-194 doi: 10.1007/s11684-011-0141-y

Abstract: have a thorough knowledge of top-geoherbs, this article reviews the concept, historical evolution, common

Keywords： top-geoherbs     common trait     quality characteristics     formation     biological mechanism    

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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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AGCD: a robust periodicity analysis method based on approximate greatest common divisor

Juan YU,Pei-zhong LU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 466-473 doi: 10.1631/FITEE.1400345

Abstract: Periodicity is one of the most common phenomena in the physical world.analysis (or period detection) is a research topic in several areas, such as signal processing and dataTo solve the problem, a novel method based on the approximate greatest common divisor (AGCD) is proposedevaluate the accuracy and efficiency of the proposed method, comprehensive experiments on synthetic data

Keywords： Periodicity analysis     Period detection     Sparsity     Noise     Approximate greatest common divisor (AGCD)    

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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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Construction of Common Key Technology System of Multimodal Transport Connection

Zhang Yuzhao, Li Haijun, Zhang Wenhao, Yang Jianling

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 212-224 doi: 10.15302/J-SSCAE-2023.06.015

Abstract: The foundation for achieving the connection of various transport modes lies in the common key technologiesTherefore, establishing a comprehensive system of common key technologies for multimodal transport connectiontechnical breakthroughs of multimodal transport development in China, and proposes a system framework for commonThe framework consists of six major modules: basic network, transportation tools, data information, transportation

Keywords： multimodal transport connection     basic network     data information     standards and specifications     layout    

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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 datamodel 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 beIt establishes a new model for common clinical research for specialist and special disease clinics.

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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Title Author Date Type Operation

Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Journal Article

Optimization of urban bus operation frequency under common route condition with rail transit

Bin YU, Sijia REN, Enze WU, Yifan ZHOU, Yunpeng WANG

Journal Article

Advances in some common chronic liver diseases

Ke-Qin Hu

Journal Article

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

Journal Article

Framework based on building information modeling, mixed reality, and a cloud platform to support information flow in facility management

Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI

Journal Article

Influence of motor cable on common-mode currents in an inverter-fed motor drive system

Peng-kang XIE, Jia-zheng LU, Guo-zhu CHEN, Heng-lin CHEN

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Top-geoherbs of traditional Chinese medicine: common trait, quality characteristics and formation

Luqi Huang, Lanping Guo, Chaoyi Ma, Wei Gao, Qingjun Yuan

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

AGCD: a robust periodicity analysis method based on approximate greatest common divisor

Juan YU,Pei-zhong LU

Journal Article

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

Yang Bingru,Tang Qing

Journal Article

Construction of Common Key Technology System of Multimodal Transport Connection

Zhang Yuzhao, Li Haijun, Zhang Wenhao, Yang Jianling

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