1,862 research outputs found
Aircraft engine hot section technology: An overview of the HOST Project
NASA sponsored the Turbine Engine Hot Section (HOST) project to address the need for improved durability in advanced aircraft engine combustors and turbines. Analytical and experimental activities aimed at more accurate prediction of the aerothermal environment, the thermomechanical loads, the material behavior and structural responses to loads, and life predictions for cyclic high temperature operation were conducted from 1980 to 1987. The project involved representatives from six engineering disciplines who are spread across three work disciplines - industry, academia, and NASA. The HOST project not only initiated and sponsored 70 major activities, but also was the keystone in joining the multiple disciplines and work sectors to focus on critical research needs. A broad overview of the project is given along with initial indications of the project's impact
A Framework for Leveraging Artificial Intelligence in Project Management
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThis dissertation aims to support the project manager in their daily tasks. As we use artificial
intelligence (AI) and machine learning (ML) in everyday life, it is necessary to include them in business
and change traditional ways of working. For the purpose of this study, it is essential to understand
challenges and areas of project management and how artificial intelligence can contribute to them. A
theoretical overview, applying the knowledge of project management, will show a holistic view of the
current situation in the enterprises. The research is about artificial intelligence applications in project
management, the common activities in project management, the biggest challenges, and how AI and
ML can support it. Understanding project managers help create a framework that will contribute to
optimizing their tasks. After designing and developing the framework for applying artificial intelligence
to project management, the project managers were asked to evaluate. This study is essential to
increase awareness among the stakeholders and enterprises on how automation of the processes can
be improved and how AI and ML can decrease the possibility of risk and cost along with improving the
happiness and efficiency of the employees
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