Abstract
This project aims to design algorithmic techniques to perform activity discovery, recognition, and prediction from sensor data. These techniques will form the foundation for the science of Activity- Prediction Cyber-Physical Systems, including potential improvement in the responsiveness and adaptiveness of the systems. The outcome of this work is also anticipated to have important implications in the specific application areas of health care and sustainability, two priority areas of societal importance.
Performance Period: 10/01/2015 - 09/30/2019
Institution: Washington State University
Sponsor: National Science Foundation
Award Number: 1543656
Abstract
The timely and accurate in-service identification of faults in mechanical structures, such as airplanes, can play a vitally important role in avoiding catastrophes. One major challenge, however, is that the sensing system relies on high frequency signals, the coordination of which is difficult to achieve throughout a large structure. To tackle this fundamental issue, the research team will take advantage of 3D printing technology to fabricate integrated sensor-structure components.
Performance Period: 01/01/2016 - 12/31/2018
Institution: Texas A&M Engineering Experiment Station
Sponsor: National Science Foundation
Award Number: 1545038
Abstract
Recent progress in autonomous and connected vehicle technologies coupled with Federal and State initiatives to facilitate their widespread use provide significant opportunities in enhancing mobility and safety for highway transportation.
Performance Period: 09/01/2015 - 08/31/2020
Institution: University of Florida
Sponsor: National Science Foundation
Award Number: 1446813
Abstract
Today's automobiles are increasingly autonomous. The latest Mercedes S-class sedan applies corrective action when its driver strays out of lane or tailgates too closely. Semi-autonomy will soon yield to full autonomy. Nissan has promised a line of self-driving cars by 2020.
Todd Humphries
Dr. Humphreys specializes in the application of optimal detection and estimation techniques to problems in satellite navigation, autonomous systems, and signal processing. He directs the Radionavigation Laboratory and is associate director of UT SAVES. His recent focus has been on assured perception for autonomous systems, including navigation, timing, and collision avoidance, and on centimeter-accurate location for the mass market.
Dr. Humphreys is also on the graduate study committee of the UT Department of Electrical and Computer Engineering and a faculty member of the Wireless Networking and Communications Group (WNCG). He received the UT Regents' Outstanding Teaching Award in 2012, the NSF Career Award in 2015, the Institute of Navigation Thurlow Award in 2015, and the Presidential Early Career Award for Scientists and Engineers (PECASE, via National Science Foundation) in 2019. He is a Fellow of the Institute of Navigation. Dr. Humphreys joined the faculty of the Cockrell School of Engineering in Fall 2009.
Performance Period: 04/01/2015 - 03/31/2020
Institution: University of Texas at Austin
Sponsor: National Science Foundation
Award Number: 1454474
Abstract
The automotive industry finds itself at a cross-roads. Current advances in MEMS sensor technology, the emergence of embedded control software, the rapid progress in computer technology, digital image processing, machine learning and control algorithms, along with an ever increasing investment in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, are about to revolutionize the way we use vehicles and commute in everyday life.
Performance Period: 09/15/2015 - 08/31/2018
Institution: University of Southern California
Sponsor: National Science Foundation
Award Number: 1545089
Abstract
As information technology has transformed physical systems such as the power grid, the interface between these systems and their human users has become both richer and much more complex. For example, from the perspective of an electricity consumer, a whole host of devices and technologies are transforming how they interact with the grid: demand response programs; electric vehicles; "smart" thermostats and appliances; etc.
Performance Period: 10/01/2015 - 09/30/2019
Institution: Stanford University
Sponsor: National Science Foundation
Award Number: 1544548
CPS: Breakthrough: Collaborative Research: WARP: Wide Area assisted Resilient Protection
Lead PI:
Array Array
Co-PI:
Abstract
The electric power grid experiences disturbances all the time that are routinely controlled, managed, or eliminated by system protection measures- designed by careful engineering studies and fine-tuned by condensing years of operational experience. Despite this, the grid sometimes experiences disruptive events that can quickly, and somewhat unstoppably catapult the system towards a blackout.
Performance Period: 09/15/2015 - 08/31/2019
Institution: North Dakota State University - Fargo
Sponsor: National Science Foundation
Award Number: 1544621
Abstract
This project addresses urgent challenges in high confidence validation and verification of automotive vehicles due to on-going and anticipated introduction of advanced, connected and autonomous vehicles into mass production. Since such vehicles operate across both physical and cyber domains, faults can occur in traditional physical components, in cyber components (i.e., algorithms, processors, networks, etc.), or in both. Thus, advanced vehicles need to be tested for both physical and cyber-related fault conditions.
Performance Period: 10/01/2015 - 09/30/2019
Institution: University of Michigan Ann Arbor
Sponsor: National Science Foundation
Award Number: 1544844
Abstract
Errors in cyber-physical systems can lead to disastrous consequences. Classic examples date back to the Therac-25 radiation incidents in 1987 and the Ariane 5 rocket crash in 1996. More recently, Toyota's unintended acceleration bug was caused by software errors, and certain cars were found vulnerable to attacks that can take over key parts of the control software, allowing attackers to even disable the brakes remotely. Pacemakers have also been found vulnerable to attacks that can cause deadly consequences for the patient.
Performance Period: 10/01/2015 - 09/30/2019
Institution: University of California-San Diego
Sponsor: National Science Foundation
Award Number: 1544757
Abstract
Computation is everywhere. Greeting cards have processors that play songs. Fireworks have processors for precisely timing their detonation. Computers are in engines, monitoring combustion and performance. They are in our homes, hospitals, offices, ovens, planes, trains, and automobiles. These computers, when networked, will form the Internet of Things (IoT). The resulting applications and services have the potential to be even more transformative than the World Wide Web. The security implications are enormous. Internet threats today steal credit cards.
Performance Period: 09/01/2015 - 08/31/2018
Institution: Stanford University
Sponsor: National Science Foundation
Award Number: 1505728