3 resultados para language-planning project
em Digital Commons - Michigan Tech
Resumo:
Indoor air pollution from combustion of solid fuels is the fifth leading contributor to disease burden in low-income countries. This, and potential to reduce environmental impacts, has resulted in emphasis on use of improved stoves. However, many efforts have failed to meet expectations and effective coverage remains limited. A disconnect exists between technologies, delivery methods, and long-term adoption. The purpose of this research is to develop a framework to increase long-term success of improved stove projects. The framework integrates sustainability factors into the project life-cycle. It is represented as a matrix and checklist which encourages consideration of social, economic, and environmental issues in projects. A case study was conducted in which an improved stove project in Honduras was evaluated using the framework. Results indicated areas of strength and weakness in project execution and highlighted potential improvements for future projects. The framework is also useful as a guide during project planning.
Resumo:
The Työmies translation project involves the translation of that newspaper’s accounts of significant events from Michigan’s 1913-1914 Copper Strike. Työmies was a Finnish-language newspaper, published in Hancock, Michigan, whose socialist-unionist perspective on the strike differed markedly from that of the local English-language newspapers. This project is the first time significant portions of Työmies have been translated into English. In June of 2013, the presenter printed the translation of the Työmies account of the strike’s first day on a hand-operated Chandler & Price platen press. Thus, the presentation describes this unique project: the translation itself, the presenter’s search for necessary type and equipment, and the printing of the broadsides. The presentation will include a history of Työmies and the Strike, with an emphasis on ways in which human culture and language is reflected in the material culture of printing.
Resumo:
This project examines the current available work on the explicit and implicit parallelization of the R scripting language and reports on experimental findings for the development of a model for predicting effective points for automatic parallelization to be performed, based upon input data sizes and function complexity. After finding or creating a series of custom benchmarks, an interval based on data size and time complexity where replacement becomes a viable option was found; specifically between O(N) and O(N3) exclusive. As data size increases, the benefits of parallel processing become more apparent and a point is reached where those benefits outweigh the costs in memory transfer time. Based on our observations, this point can be predicted with a fair amount of accuracy using regression on a sample of approximately ten data sizes spread evenly between a system determined minimum and maximum size.