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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 datalocality and its optimization technologies in multiprocessor systems was brought forth.Driven 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 framework

Keywords： computer     multiprocessorsystem     data locality     locality measurement model     data transformation framework    

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A locality-based replication manager for data cloud Article

Reza SOOKHTSARAEI,Javad ARTIN,Ali GHORBANI,Ahmad FARAAHI,Hadi ADINEH

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1275-1286 doi: 10.1631/FITEE.1500391

Abstract: Efficient data management is a key issue for environments distributed on a large scale such as the dataThis can be taken into account by replicating the data.The replication of data reduces the time of service and the delay in availability, increases the availabilitydue to the storing of copies of the data.To reach this aim, the suggested replication manager, called the locality replication manager (LRM),

Keywords： Data cloud     Replication     Graph     Locality replication manager (LRM)    

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Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: monitoring and fault detection method, which is based on modified structure analysis and globality and localityBy using locality preserving projection to analyze the embedding geometrical manifold and extractingfeatures by independent component analysis, MSAGL preserves both the global and local structures of the data

Keywords： non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection    

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CWLP:coordinatedwarp scheduling and locality-protected cache allocation onGPUs None

Yang ZHANG, Zuo-cheng XING, Cang LIU, Chuan TANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 206-220 doi: 10.1631/FITEE.1700059

Abstract: scheme to make full use of data locality and hide latency.We first present a locality-protected cache allocation method based on the instruction program counterSpecifically, we use a PC-based locality detector to collect the reuse information of each cache lineand employ a prioritised cache allocation unit (PCAU) which coordinates the data reuse information withscheme to capture locality and hide latency.

Keywords： Locality     Graphics processing unit (GPU)     Cache allocation     Warp scheduling    

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The Quantum Mechanical Basis of Faster Than Light Research

Huang Zhixun

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 15-25

Abstract:

Quantum mechanics brings hope for the best on realization of faster-than-light (superluminal) Experimental examination of EPR article showes that behind the image some thing advance faster than the speed of light. It is highly important to study the superluminal problems. Theoretical and experimental facts have proved that it is possibleto drive a photon or a pulse traveling faster than light. It is expected that when the plasma is used as the potential barrier in the experiment, the superluminal phenomena may be occur. The paper suggests to conduct an experiment, so as to show the situations when the matter-wave particle (such as the electron) traveling through the potential barrier.

Keywords： superluminal     quantum mechanics     non-locality     quantum entangled state     quantum tunneling     potential barrier    

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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 subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe 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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Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

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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: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

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

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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: as 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.and non-structured data into “structured format” and explores the relationship of data heterogeneity

Keywords： big data     data science     intelligent knowledge     engineering management     real-life applications    

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Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: Data enabling technology plays an important role in modern scientific discovery and technologic advancementFactual data enables managers to measure, to understand their businesses, and to directly translate thatareas: 1) by making relevant historical data available to the manager at the time when it’s needed;2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful dataacquisition and data analytics.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

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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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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: One recent area of interest in computer science is data stream management and processing.By ‘data stream’, we refer to continuous and rapidly generated packages of data.Specific features of data streams are immense volume, high production rate, limited data processing time, and data concept drift; these features differentiate the data stream from standard types of data.An issue for the data stream is classification of input data.

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

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Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intouse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

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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

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

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced dataessential element to this transformation is the exploitation of large amounts of historical process dataand large volumes of data generated in real-time by smart sensors widely used in industry.Exploitation of the information contained in these data requires the use of advanced machine learning

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

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Title Author Date Type Operation

Study on Data Locality and Its Optimization Technologies in Multiprocessor Systems

Yang Xuejun,Dai Huadong,Xia Jun

Journal Article

A locality-based replication manager for data cloud

Reza SOOKHTSARAEI,Javad ARTIN,Ali GHORBANI,Ahmad FARAAHI,Hadi ADINEH

Journal Article

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Journal Article

CWLP:coordinatedwarp scheduling and locality-protected cache allocation onGPUs

Yang ZHANG, Zuo-cheng XING, Cang LIU, Chuan TANG

Journal Article

The Quantum Mechanical Basis of Faster Than Light Research

Huang Zhixun

Journal Article

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

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

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article