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The main goal of the xDriver system is not to create another instance of an autonomously controlled car, but to prove that a computational management system founded on the developed ISD model of human psychology is able to operate in a satisfactory manner in concrete critical conditions with numerous restrictions imposed on it.
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In this context, Computational Biology workflow management systems (e.g., Galaxy and Taverna) have been developed to implement reproducible data analysis processes.
Compliment to the high-performance computational pipeline is the high-performance database management system.
As the inter-city high-speed railway system that is a complex system involving engineering, social, and economic factors is affected by climatic and human factors, Ning et al. [9] developed parallel control and management system that incorporates artificial systems, computational experiments, and parallel execution (ACP) for rail planning and management.
In this paper, we propose a home energy management system (HEMS) to realize full automation combining computational and physical systems in a home area, which excludes operator-based control and management.
Here, we present ChemicalToolBoX, a compilation of more than 30 tools integrated into a single computational chemistry and cheminformatics platform based on the Galaxy workflow management system [1, 2].
This paper describes the development of the thermal management system (TMS) designed for this application based on various Computational Fluid Dynamics (CFD) mathematical models.
Such high-performance database management system would also be incorporated into the next-generation high-performance computational platform for metagenomic data analysis.
The high-performance database management system would not only store large amount of results by high-performance computational pipeline, but also facilitate deeper data mining of metagenomic data.
Results: We have developed a workflow management system named Ergatis that enables users to build, execute and monitor pipelines for computational analysis of genomics data.
The utility of a workflow management system in facilitating novel biological discoveries and as a tool for efficient sharing of computational protocols is demonstrated.
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