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This paper reports on the development of a prototype solution for tracking and monitoring shipping containers.
This paper introduces the requirements for system level configuration and proposes a prototype solution for ship projects and engine-room related supply chains.
Moreover, the combination of Semantic Web Technologies with Context Aware recommendations and their integration as a complete prototype solution for the training of students in learning the Design Patterns by practice consists of an original work in relation to the reported related work.
In the existing literature there are reported attempts to produce recommendations for Design Patterns such as (Gomes et al. 2002; Guéhéneuc and Mustapha 2007; Weiss and Birukou 2007) but none of them was taking into account the context or has produced a complete prototype solution for specific target groups such as CS or SE students which ArchReco supports.
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This project is aimed to develop prototype solutions for grasping and manipulation operations in a submarine environment.
We introduce clothing-integrated photovoltaics, their scope and limitations, the status of flexible solar cells, charge controller and system design, as well as prototype solutions for various applications.
The requirements and architecture of the proposed platform have been derived so that the users of the platform, researchers, and developers on the project, can utilize it for prototyping solutions for these high level use cases.
The prototype solution was implemented as an application for Android devices and results showed energy saving up to 5% per hour.
Note that maximization of the correlation cannot be used to select an optimal number of clusters because this selection would result in the smallest possible number of clusters with highest correlation obtained for the trivial single prototype solution.
Using such run-time reasoning capabilities, we have developed a conceptual architecture for an autonomous framework and describe a prototype solution we have constructed which implements this architecture.
For example, if you coded some statistical tests to be run on multiple voxels, compare the routine in one voxel against a prototype solution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com