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Now showing items 31-40 of 192
Computer vision-based localization and mapping of an unknown, uncooperative and spinning target for spacecraft proximity operations
(Massachusetts Institute of Technology, 2013)
Prior studies have estimated that there are over 100 potential target objects near the Geostationary Orbit belt that are spinning at rates of over 20 rotations per minute. For a number of reasons, it may be desirable to ...
3D MEMS via (post-) buckling of micromachined structures and integration of bulk nanoporous elements in microfluidic devices
(Massachusetts Institute of Technology, 2011)
The last two decades have seen a proliferation of fields and applications where microtechnologies have gradually replaced, and often outperformed, their macroscopic counterparts. From engineering to basic sciences, ...
Practical algorithms for distributed network control
(Massachusetts Institute of Technology, 2013)
Optimal routing and scheduling algorithms have been studied for decades, however several practical issues prevent the adoption of these network control policies on the Internet. This thesis considers two distinct topics ...
Non-CO₂ environmental impacts of transportation fuel use and production
(Massachusetts Institute of Technology, 2015)
Transportation represents one of the largest contributors to anthropogenic air pollution and global climate change. This thesis aims to quantify three specific environmental impacts from transportation fuel combustion and ...
Space radiation environment impacts on high power amplifiers and solar cells on-board geostationary communications satellites
(Massachusetts Institute of Technology, 2015)
Communications satellite operators maintain archives of component telemetry to monitor system function. Operators generally do not typically use the telemetry data for scientific analysis of the space radiation environment ...
Sampling-based algorithms for stochastic optimal control
(Massachusetts Institute of Technology, 2014)
Controlling dynamical systems in uncertain environments is fundamental and essential in several fields, ranging from robotics, healthcare to economics and finance. In these applications, the required tasks can be modeled ...
A machine learning approach to modeling and predicting training effectiveness
(Massachusetts Institute of Technology, 2015)
Developments in online and computer-based training (CBT) technologies have enabled improvements in efficiency, efficacy, and scalability of modern training programs. The use of computer-based methods in training programs ...
Continuous low-rank tensor decompositions, with applications to stochastic optimal control and data assimilation
(Massachusetts Institute of Technology, 2017)
Optimal decision making under uncertainty is critical for control and optimization of complex systems. However, many techniques for solving problems such as stochastic optimal control and data assimilation encounter the ...
Towards concept generation and performance-complexity tradespace exploration of engineering systems using convex hulls
(Massachusetts Institute of Technology, 2017)
This thesis examines tradeoffs between performance and complexity in the context of future aircraft engine architectures and a reconfigurable mobile device. Traditionally aircraft/engine system architecture selection has ...
Modeling distributed product development processes in small and medium enterprises
(Massachusetts Institute of Technology, 2015)
Effective and efficient product development (PD) is critical to the success of many firms. The market's emphasis on getting faster and cheaper products has forced firms to shift their PD practices from sequential to ...