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Computational fluid dynamics simulations of hydrogen releases and vented deflagrations in large enclosures
2019
Journal of Loss Prevention in the Process Industries
Preserved Fulltext
scaled warehouse geometry (volume 45.4 m 3 ). ...
The second part explores the use of the model system validated in the first part to accidental releases of hydrogen from forklift trucks inside a fullscale warehouse geometry (32 400 m 3 ). ...
Overall, the releases in the full-scale warehouse geometry behave in the same manner as for the scaled warehouse. ...
doi:10.1016/j.jlp.2019.103999
fatcat:fo5jdon7rnhhtfeoavpmvikpna
Security in Data Warehousing
[chapter]
2000
Lecture Notes in Computer Science
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This process involves reading, cleaning, aggregating and storing the data in the warehouse model. ...
Data warehouse [2, 4, 5, 6] is an integrated repository derived from multiple source (operational and legacy) databases. ...
User Profile Based Security User profile is a representation of the preferences of any individual user. ...
doi:10.1007/3-540-44466-1_28
fatcat:faia4v5ikbdwnk2r6axyqx3p4y
Using TurbSim stochastic simulator to improve accuracy of computational modelling of wind in the built environment
2018
Wind Engineering : The International Journal of Wind Power
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There is a need to understand the turbulent flow conditions for a small wind turbine in the built environment. ...
This knowledge is crucial for input into the design process of a small wind turbine to accurately predict blade fatigue loads and lifetime, and to ensure that it operates safely with a performance that ...
Small-scale roof-top urban projects compared to utility-scale or community-scale wind projects, do not typically have access to large amounts of fiscal resources for the resource assessment phase of a ...
doi:10.1177/0309524x18780388
fatcat:aka4pdsurvhshexxgt3wyp3moq
Cloud BI: Future of business intelligence in the Cloud
2015
Journal of computer and system sciences (Print)
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Business Intelligence (BI) is a highly resource intensive system requiring large-scale parallel processing and significant storage capacities to host data warehouses. ...
Cloud computing has instigated a new hope for future prospects of BI. However, how will BI be implemented on Cloud and how will the traffic and demand profile look like? ...
Cloud computing paradigm has emerged to bring large-scale computing, storage resources and data service resources together to build a VCE (virtual computing environment) [2] . ...
doi:10.1016/j.jcss.2014.06.013
fatcat:gashotik6bfjbkyam5jmc6bgra
Strategic planning for data warehousing in the public sector
1996
Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences
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In the course of the study, data warehousing emerged as a strategy for consolidating and sharing information among many City departments with different informational needs and a variety of computing platforms ...
In this paper we describe processes and analytical methods that proved use&l for shaping a data warehousing strategy and for determining the contents of the data warehouse. ...
The creation of a data warehouse, particularly on a corporate-wide scale, is a major undertaking. ...
doi:10.1109/hicss.1996.495312
dblp:conf/hicss/SubramanianSNCB96
fatcat:zioocfrokzexxocqhcibprizyq
OLAP-based Scalable Profiling of Customer Behavior
[chapter]
1999
Lecture Notes in Computer Science
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Customer behavior profiles are created from very large collections of transaction data. This has motivated us to develop a data-warehouse and OLAP based, scalable and flexible profiling engine. ...
We define profiles by probability distributions, and compute them using OLAP operations on multidimensional and multilevel data cubes. ...
We plan to introduce parallel data warehousing and OLAP architecture to further scale the profiling engine. Fig. 1 . 1 Data warehouse and OLAP server based profiling engine architecture.
? ...
doi:10.1007/3-540-48298-9_6
fatcat:k7udy4bjirf2paqe65rbp5weiy
Cloud BI: Future of Business Intelligence in the Cloud
[article]
2019
arXiv
pre-print
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Business Intelligence (BI) is a highly resource intensive system requiring large-scale parallel processing and significant storage capacities to host data warehouses. ...
Cloud computing has instigated a new hope for future prospects of BI. However, how will BI be implemented on cloud and how will the traffic and demand profile look like? ...
Cloud computing paradigm has emerged to bring large-scale computing, storage resources, and data service resources together to build a VCE (virtual computing environment) [2] . ...
arXiv:1901.08151v1
fatcat:utzep5z2rjdlvdyt6trogdro5e
A review of genomic data warehousing systems
2013
Briefings in Bioinformatics
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We provide a comprehensive and quantitative review of those genomic data warehousing frameworks in the context of large-scale systems biology. ...
We quantified 20 aspects of the warehouses, covering the accuracy of their responses, their computational requirements and development efforts. ...
T.T. configured the data warehouses, performed the experiments, wrote the code for BenchDW, analyzed the data and prepared the manuscript. ...
doi:10.1093/bib/bbt031
pmid:23673292
fatcat:gfkpuosdz5d5fohew5xnwpfofi
Optimal supply chain design and management over a multi-period horizon under demand uncertainty. Part II: A Lagrangean decomposition algorithm
2014
Computers and Chemical Engineering
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To address large industrial problems, a Lagrangean scheme is proposed to decompose the MINLP of Part I according to the warehouses by dualizing the logic constraints that assign the warehouses to different ...
An initialization scheme is designed to obtain good initial Lagrange multipliers, which are scaled to accelerate the convergence. ...
As a consequence, there are a large number of Lagrange multipliers, which are quite different in scale. To accelerate the convergence, a scaling scheme has been proposed. ...
doi:10.1016/j.compchemeng.2013.11.014
fatcat:2deara7635fr7amrzyozyfszsy
Multi User Profile Orient Access Control based Integrity Management for Security Management in Data Warehouse
2016
Indian Journal of Science and Technology
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Findings: To overcome such issues, in this paper a multi-user profile orient access depths measure based integrity management is proposed. ...
The method first identifies a set of objects being specified from the input query and the sensitive tree; the method computes the access depthness measure. ...
The lookup is performed from the user profile and computes the access depthness measure for each level. The computed value will be given for query processing. ...
doi:10.17485/ijst/2016/v9i22/90927
fatcat:kwuqo7oterfa5kiedwwb2ihzom
Performance and safety of rooftop wind turbines: Use of CFD to gain insight into inflow conditions
2014
Renewable Energy
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Computational Fluid Dynamics (CFD) is a useful method to model wind flows in order to perform a resource assessment for the application of small wind turbines in a manner that requires less time and investment ...
This paper presents the results of research using a CFD code to model wind flows over the roof of a building and assesses the possibility of combining a CFD package with wind atlas software to form a wind ...
turbulence intensity on the rooftop is very important for the application of small wind turbines in the built environment, because turbulence intensity is linked to fatigue on the machine, and is mentioned as a ...
doi:10.1016/j.renene.2013.11.033
fatcat:zvhpis3wuzexvaybf3rj5ia2iy
An Open Source ETL Tool - Medium and Small Scale Enterprise ETL(MaSSEETL)
2014
International Journal of Computer Applications
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Small and Medium Scale Enterprises(SME) and Small Scale Enterprises (SSE) cannot afford the licensing cost of these paid tools. ...
In order to bring all the data together in a standard, homogeneous environment, Extraction-transformationloading (ETL) tools are used. ...
Moreover ,these are very expensive and have the licensing issues of paid tools which are not affordable by small scale and medium scale enterprises. ...
doi:10.5120/18899-0190
fatcat:4ucwdlgqeva5fjzi7x3k2c7btm
An infrastructure for automating large-scale performance studies and data processing
2013
2013 IEEE International Conference on Big Data
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The Cloud has enabled the computing model to shift from traditional data centers to publicly shared computing infrastructure; yet, applications leveraging this new computing model can experience performance ...
The most reliable path for better understanding these complexities is an empirically based approach that relies on collecting data from a large number of performance studies. ...
A sample profile and a mapping file is shown below: The structure of the data warehouse is shown in Figure 2 . ...
doi:10.1109/bigdata.2013.6691573
dblp:conf/bigdataconf/JayasingheKZCP13
fatcat:pfxa32msh5cfhlkdu5ukri2zpe
Reducing overhead in the Uintah framework to support short-lived tasks on GPU-heterogeneous architectures
2015
Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing - WOLFHPC '15
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The Uintah runtime system is based on a distributed directed acyclic graph (DAG) of computational tasks, with a task scheduler that efficiently schedules and execute these tasks on both CPU cores and on-node ...
These challenges are greatest when tasks compute within a few milliseconds, especially those that have stencil based computations that involve halo data, have little reuse of data, and/or require many ...
Figure 5 : 5 A profiled half millisecond range of an eight patch simulation showing Data Warehouse copies. ...
doi:10.1145/2830018.2830023
dblp:conf/sc/PetersonDHSSB15
fatcat:nxm37uvg2fa5pjeayuwt3pbvce
The Integrated Approach to ERP: Embracing the Web
[article]
2006
arXiv
pre-print
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Using the prototype testing results, a full-scale objectoriented ERP application has been designed. ...
Though the warehouse data remains unchanged, user can request data update, or produce a query. Moreover, front-end interface itself is also client profile dependent. ...
arXiv:cs/0607128v1
fatcat:7tx2ad3evbeutkuuno2q2c3zo4
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