Abstract
This project will create a living lab for mHealth Analytical and Behavioral Research using Internet of Things (mHABIT) to build a generalizable infrastructure for new analytical models and a Behavioral Experimentation Platform (BEP) to understand drivers of human health and wellness behavior and lifestyle changes through mobile and sensor technologies. Using an interdisciplinary approach, this project will enhance the understanding of human behavior and interactions with smart technologies in communities.
Performance Period: 09/01/2016 - 08/31/2018
Institution: Carnegie-Mellon University
Sponsor: National Science Foundation
Award Number: 1637007
Abstract
Acoustic sensing-based preventive maintenance approach focuses on mapping auditory information, captured from mechanical systems in buildings, to their health status and probability of impending failures. An important application of this methodology is reducing energy waste in commercial heating, ventilating, and air-conditioning (HVAC) systems, which accounts for over 42% of the total U.S. commercial building energy usage. The outcome of this project is a robust acoustic sensing technology that has a high accuracy in predicting actual failures of HVAC systems.
Performance Period: 03/01/2016 - 02/28/2018
Institution: University of Florida
Sponsor: National Science Foundation
Award Number: 1619955
Abstract
Advances in technology mean that computer-controlled physical devices that currently still require human operators, such as automobiles, trains, airplanes, and medical treatment systems, could operate entirely autonomously and make rational decisions on their own. Autonomous cars and drones are a concrete and highly publicized face of this dream. Before this dream can be realized we must address the need for safety - the guaranteed absence of undesirable behaviors emerging from autonomy.
Performance Period: 01/01/2016 - 12/31/2018
Institution: University of Washington
Sponsor: National Science Foundation
Award Number: 1619729
EAGER: Collaborative: Toward a Test Bed for Heavy Vehicle Cyber Security Experimentation
Lead PI:
Indrakshi Ray
Abstract
Heavy vehicles, such as trucks and buses, are part of the US critical infrastructure and carry out a significant portion of commercial and private business operations. Little effort has been invested in cyber security for these assets. If an adversary gains access to the vehicle's Controller Area Network (CAN), attacks can be launched that can affect critical vehicle electronic components. Traditionally, physical access to a heavy vehicle was required to access the CAN.
Performance Period: 01/01/2016 - 12/31/2018
Institution: Colorado State University
Sponsor: National Science Foundation
Award Number: 1619641
Abstract
Computer systems are increasingly coming to be relied upon to augment or replace human operators in controlling mechanical devices in contexts such as transportation systems, chemical plants, and medical devices, where safety and correctness are critical. A central problem is how to verify that such partially automated or fully autonomous cyber-physical systems (CPS) are worthy of our trust. One promising approach involves synthesis of the computer implementation codes from formal specifications, by software tools.
Performance Period: 09/01/2015 - 09/30/2018
Institution: University of Texas at Austin
Sponsor: National Science Foundation
Award Number: 1550212
CPS: Medium: Distorting the adversary's view: a CPS approach to privacy and security
Lead PI:
Christina Fragouli
Co-PI:
Abstract
This project develops a novel Cyber Physical System (CPS) centric approach to privacy and security for wireless networked CPS systems, by reconciling the low-delay and low-jitter requirements of CPS applications with the requirements imposed by security and privacy. Our starting observation is that, in CPS, an adversary's primary goal is not to learn all the raw data, but instead core attributes, such as the state or control actions that are derived from data.
Performance Period: 09/01/2017 - 08/31/2020
Institution: University of California-Los Angeles
Sponsor: National Science Foundation
Award Number: 1740047
Abstract
Modern electric power grid is a complex, interconnected cyber physical system (CPS) that forms the lifeline of our society. Reliable, secure, and efficient operation of the grid are of paramount importance to national security and economic well-being. Recent trends in security indicate the increasing threat of cyber-based attacks, both in numbers and sophistication, on energy and other critical infrastructure systems of our nation and the world in general.
Performance Period: 09/15/2017 - 08/31/2020
Institution: Iowa State University
Sponsor: National Science Foundation
Award Number: 1739969
CPS: Medium: Integrated control of biological and mechanical power for standing balance and gait stability after paralysis
Lead PI:
Roger Quinn
Abstract
Wearable exoskeletons are one of the primary advancements that help to alleviate the effects of spinal cord injury (SCI) including degenerative changes in organs of the body. Artificially stimulating the wearer's muscles to move his or her limbs has the additional benefit of maintaining musculature and improving circulation. The exoskeleton system developed in this project will use this "muscles first" approach with additional assistive power from electric motors on an as-needed basis.
Roger Quinn
Roger D. Quinn is the Arthur P. Armington Professor of Engineering and a Distinguished University Professor at Case Western Reserve University. He joined the Mechanical and Aerospace Engineering department in 1986 after receiving a Ph.D. (1985) from Virginia Tech and M.S. (1983) and B.S. (1980) degrees from the University of Akron. He has directed the CWRU Biologically Inspired Robotics program since its inception in 1990 and graduated more than 100 graduate students in the field, many of whom have reached leadership positions in industry and academics. His research, in collaboration with premier biologists is devoted to modeling animal neuromechanical systems and the development of robots based upon biological principles. He has authored more than 300 full-length publications and 9 patents on practical devices. His biology-engineering collaborative work on behavior based distributed control, robot autonomy, human-machine interfacing, soft robots, and neural control systems have each earned awards.
Performance Period: 09/15/2017 - 08/31/2020
Institution: Case Western Reserve University
Sponsor: National Science Foundation
Award Number: 1739800
Abstract
Cyber-physical and Internet-of-Things (CPS/IoT) systems offer dramatic potential for revolutionizing many aspects of modern life by facilitating collection, analysis, and action on fine-grained sensor data. In both consumer-facing systems (e.g. smart locks, cameras, and thermostats) as well as infrastructure and industrial settings (e.g. devices to monitor factories or electricity distribution systems), CPS/IoT systems are already responsible for a wide range of safety-critical functions with significant security implications.
Performance Period: 10/01/2017 - 09/30/2020
Institution: University of Richmond
Sponsor: National Science Foundation
Award Number: 1739701
Abstract
This project aims to empower ordinary citizens to take charge in collecting real time environmental data that can be used to serve a common interest. The target application of the project is a cyber-physical system for detecting small amounts of explosive vapor in the air so as to protect large-area public gatherings. In this system, extremely low-cost explosive sensors, handed out free of charge, will be connected to the smart phones of the willing participants, effectively turning each one of them into a look-out sensor node.
Performance Period: 10/01/2017 - 09/30/2020
Institution: University of California-San Diego
Sponsor: National Science Foundation
Award Number: 1739684