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Minimizing electricity costs with an auxiliary generator using stochastic programming
(Massachusetts Institute of Technology, 2000)
This thesis addresses the problem of minimizing a facility's electricity costs by generating optimal responses using an auxiliary generator as the parameter of the control systems. The-goal of the thesis is to find an ...
Architectural epidemiology : a computational framework
(Massachusetts Institute of Technology, 2020)
Architecture affects our health, especially in hospitals. However, our ability to learn from existing hospitals to design buildings that improve patient outcomes is limited. If we want to leverage large datasets of health ...
Machine mediated human perception
(Massachusetts Institute of Technology, 2020)
'The broader one's understanding of the human experience, the better design we will have.' --Steve Jobs In recent decades, there has been a growing interest in designing places through the lenses of the human experience. ...
Machine learning inspired synthetic biology: neuromorphic computing in mammalian cells
(Massachusetts Institute of Technology, 2020)
Synthetic biologists seek to collect, refine, and repackage nature so that it's easier to design new and reliable biological systems, typically at the cellular or multicellular level. These redesigned systems are often ...
Illuminating preference : rethinking colored lighting in workplace environments
(Massachusetts Institute of Technology, 2020)
Comfort in workspace lighting is hard to define. In recent years "smart hardware" has enabled personalized control in lighting. Provided interfaces, however are often forcibly tying the ephemeral nature of light and personal ...
Synthesizing 3D morphology from a collection of urban design concepts
(Massachusetts Institute of Technology, 2020)
In the decision-making process of urban development projects, decision-makers and urban designers work collectively as a) decision-makers make decisions of urban development based on the evaluation of urban morphology, b) ...
Space is the interface : evaluating spatial knowledge acquisition in virtual reality from the perspective of locomotion
(Massachusetts Institute of Technology, 2020)
Humans acquire spatial knowledge through sensory integration, which comes from constant interaction with the environment. Locomotion, one of the earliest behaviors developed by infants, are the foundation of many such ...
Constructing virtual reality exhibitions with multimodal interactions
(Massachusetts Institute of Technology, 2020)
Even though the concept of virtual museums is still young compared with "brick and mortar" museums, it has received increasing attention in the past decades. With the rapid development of the internet and ubiquitous digital ...
The good, the bad, and the facts : multimodal representation of medical conversations for patient understanding
(Massachusetts Institute of Technology, 2019)
Medical patients face significant challenges for managing their health information. In particular, cancer patients have a uniquely difficult experience where they must endure the physical and emotional effects of their ...
Learning to collaborate : robots building together
(Massachusetts Institute of Technology, 2018)
Since robots were first invented, robotic assembly has been an important area of research in both academic institutions and industry settings. The standard industry approach to robotic assembly lines utilizes fixed robotic ...