Results 1 to 10 of about 15,855,081 (137)
Data-aware process networks [PDF]
With the emergence of reconfigurable FPGA circuits as a credible alternative to GPUs for HPC acceleration, new compilation paradigms are required to map high-level algorithmic descriptions to a circuit configuration (High-Level Synthesis, HLS). In particular, novel parallelization algorithms and intermediate representations are required. In this paper,
Christophe Alias, Alexandru Plesco
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Process Data Infrastructure and Data Services [PDF]
Due to energy limitation and high operational costs, it is likely that exascale computing will not be achieved by one or two datacentres but will require many more. A simple calculation, which aggregates the computation power of the 2017 Top500 supercomputers, can only reach 418 petaflops.
Cushing, R. +10 more
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X-ray diffraction data processing proceeds through indexing, pre-refinement of camera parameters and crystal orientation, intensity integration, post-refinement and scaling. The DENZO program has set new standards for autoindexing, but no publication has appeared which describes the algorithm.
M G, Rossmann, C G, van Beek
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8 ...
Ahlswede, Rudolf, Lober, P
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Doing classic grounded theory:the data analysis process [PDF]
This case study shares some of the methodological challenges I faced during my PhD research from 2007 to 2010. My study focused on Condition Management Programmes, part of the UK Government's Pathways to Work initiative, which provided work-focused ...
Breckenridge, Jenna
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Business Process Configuration According to Data Dependency Specification [PDF]
Configuration techniques have been used in several fields, such as the design of business process models. Sometimes these models depend on the data dependencies, being easier to describe what has to be done instead of how.
Gómez López, María Teresa +3 more
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Data-driven Soft Sensors in the Process Industry [PDF]
In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process variables, process monitoring and other tasks which are related to process control.
Abdi +149 more
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In this chapter, the reader will gain knowledge and practical skills about preparing raw clinical data for secondary statistical analysis.
Malley, B, Ramazzotti, D, Wu, JT-Y
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Trading activity as driven Poisson process: comparison with empirical data [PDF]
We propose the point process model as the Poissonian-like stochastic sequence with slowly diffusing mean rate and adjust the parameters of the model to the empirical data of trading activity for 26 stocks traded on NYSE.
B. Kaulakys +20 more
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Data in Business Process Models. A Preliminary Empirical Study [PDF]
Traditional activity-centric process modeling languages treat data as simple black boxes acting as input or output for activities. Many alternate and emerging process modeling paradigms, such as case handling and artifact-centric process modeling, give ...
Andrews, Kevin +5 more
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