Abstract
The goal of this research is to enable a new era of low-energy mobile robotic Cyber-Physical Systems (CPS). The approach is the simultaneous design of the computing hardware with the computer algorithms, with input from the physics of the system.
Performance Period: 10/01/2018 - 09/30/2021
Institution: Massachusetts Institute of Technology
Sponsor: National Science Foundation
Award Number: 1837212
Abstract
This project aims to develop non-intrusive and universal vibration sensing schemes that can detect the abnormal vibrations of a running machine. Towards this goal, the researchers propose a system that first uses the backscatter signals in commercial off the shelf RFID systems to accurately measure machine vibrations, and then uses machine learning and signal processing techniques to detect abnormal machine vibration patterns so that machine operators can be alerted to take actions before the machine fails.
Performance Period: 01/01/2019 - 12/31/2021
Institution: Michigan State University
Sponsor: National Science Foundation
Award Number: 1837146
Abstract
The goal of this project is to investigate how self-driving, electric vehicles transporting passengers on demand (a system referred to as autonomous mobility-on-demand, or AMoD) can enable optimized, coupled control of the power and transportation networks. The key observation is that the AMoD technology will give rise to complex couplings between the power and transportation networks, namely couplings between charging demand and electricity prices as people move around a city.
Performance Period: 01/01/2019 - 12/31/2021
Institution: Stanford University
Sponsor: National Science Foundation
Award Number: 1837135
Abstract
The goal of this project is to investigate how self-driving, electric vehicles transporting passengers on demand (a system referred to as autonomous mobility-on-demand, or AMoD) can enable optimized, coupled control of the power and transportation networks. The key observation is that the AMoD technology will give rise to complex couplings between the power and transportation networks, namely couplings between charging demand and electricity prices as people move around a city.
Performance Period: 01/01/2019 - 12/31/2021
Institution: University of California-Santa Barbara
Sponsor: National Science Foundation
Award Number: 1837125
Abstract
Each year the nation spends over $400 billion to power, heat and cool its buildings. Moreover, buildings are a major source of environmental emissions. As a result, even a modest improvement in energy efficiency of the nation's building stock would result in substantial economic and environmental benefits. In this project, the focus is on improving energy efficiency in commercial buildings because this sector represents a substantial portion of the energy usage and costs within the overall building sector.
Performance Period: 10/01/2018 - 09/30/2021
Institution: Columbia University
Sponsor: National Science Foundation
Award Number: 1837022
Abstract
Each year the nation spends over $400 billion to power, heat and cool its buildings. Moreover, buildings are a major source of environmental emissions. As a result, even a modest improvement in energy efficiency of the nation's building stock would result in substantial economic and environmental benefits. In this project, the focus is on improving energy efficiency in commercial buildings because this sector represents a substantial portion of the energy usage and costs within the overall building sector.
Performance Period: 10/01/2018 - 09/30/2024
Institution: Georgia Tech Research Corporation
Sponsor: National Science Foundation
Award Number: 1837021
Abstract
Cyber-physical system (CPS) technologies, such as automated aircraft and cars, have become sufficiently complex that CPS software verification is now a major bottleneck in product development. This project examines new approaches for auto-generating reduced models of CPS software, in order to incorporate those models in analysis, for instance, in system-wide simulations or bug detection.
Performance Period: 01/01/2019 - 12/31/2021
Institution: Tufts University
Sponsor: National Science Foundation
Award Number: 1836942
CPS: Small: Reconciling Safety with the Internet for Cyber-Physical Systems
Lead PI:
Edward Lee
Abstract
Internet technology, originally developed to convey information, is increasingly being used to control and operate physical devices in homes, factories, medical facilities, and transportation systems, to name just a few application domains. In these more physically-grounded applications, the consequences of misbehavior of a system can be dire, involving not just loss or leakage of information, but loss of life.
Performance Period: 10/01/2018 - 09/30/2021
Institution: University of California-Berkeley
Sponsor: National Science Foundation
Award Number: 1836601
Abstract
This project aims to develop innovative design automation methodologies and algorithms for software synthesis of cyber-physical systems (CPS), which have applications in key sectors such as automotive, aerospace, healthcare, and industrial automation. Software has become critical and drives future innovations for many such systems, but faces significant challenges in its development, in particular regarding the formulation, exploration and validation of timing constraints.
Performance Period: 01/01/2018 - 12/31/2023
Institution: Northwestern University
Sponsor: National Science Foundation
Award Number: 1834701
Abstract
U.S. economic growth, energy security, and environmental stewardship depend on a sustainable energy policy that promotes conservation,efficiency, and electrification across all major sectors. Buildings are the largest sector and therefore an attractive target of these efforts: current Federal sustainability goals mandate that 50% of U.S.commercial buildings become net-zero energy by 2050. A range of options exists to achieve this goal, but financial concerns require a data-driven, empirically-validated approach.
Performance Period: 01/01/2017 - 01/31/2020
Institution: University of California-Berkeley
Sponsor: National Science Foundation
Award Number: 1824277
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