The terms denote educational areas that are part of the CPS technology.
Announcement
Program Solicitation NSF 19-516: Designing Materials to Revolutionize and Engineer our Future (DMREF)
Designing Materials to Revolutionize and Engineer our Future (DMREF)
Program Solicitation
NSF 19-516
Replaces Document(s):
NSF 16-613
Submitted by Frankie King on November 1st, 2018
Every year around 30,000 fatalities and 2.2 million injuries happen on US roads. The problem is compounded with huge economic losses due to traffic congestions. Advances in Cooperative Vehicle Efficiency and Safety (CVES) systems promise to significantly reduce the human and economic cost of transportation. However, large scale deployment of such systems is impeded by significant technical and scientific gaps, especially when it comes to achieving real-time and high accuracy situational awareness for cooperating vehicles. This CAREER project aims at closing these gaps through developing fundamental information networking methodologies for coordinated control of automated systems. These methodologies will be based on the innovative concept of modeled knowledge propagation. In addition, the educational component of this project integrates interdisciplinary Cyber-Physical Systems (CPS) subjects on the design of automated networked systems into graduate and undergraduate training modules.
For robust operation, CVES systems require each vehicle to have reliable real-time awareness of the state of other coordinated vehicles. This project addresses the critical need for robust control-oriented situational awareness by developing a multi-resolution information networking methodology that is model- and context-aware. The approach is to develop the novel concepts of model communication and its derived multi-resolution networking. Context-aware model-communication relies on transmission and synchronization of models (e.g., stochastic hybrid system structures and parameters) instead of raw measurements. This allows for high fidelity synchronization of dynamical models of CVES over networks. Multi-resolution networking concept is enabled through scalable representations of models. Multi resolution models allow in-network adaptation of model fidelity to available network resources. The result is robustness of CVES to network service variability.
The successful deployment of CVES, even partially, will provide significant societal benefits through reduced traffic accidents and improved efficiency. This project will enable large scale CVES deployment by addressing its scalability challenge. In addition, methodologies developed in this project will be crucial to emerging autonomous vehicles, which are also expected to coordinate their actions over communication networks. The fundamental research outcomes on knowledge propagation through network synchronization of dynamical models will be broadly applicable in other CPS domains such as smart grid. The educational component of this project will target training of CPS researchers and engineers on subjects in intelligent transportation and energy systems.
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University of Central Florida
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National Science Foundation
Submitted by Yaser Fallah on January 11th, 2018
The Sensors in a Shoebox project focuses on empowering urban citizens with the tools and methods necessary to observe and analyze the physical, social, and natural systems that affect their communities for improved community-based decision making. The project creates an affordable and ruggedized sensor kit that consists of solar-powered wireless sensors with Internet connectivity that can be distributed to communities to sense environmental parameters, vibrations, motion, among other parameters. Data is transmitted from community-deployed sensor kits to the cloud where sensor data is stored and managed. The community directly accesses their data from a web portal offering a suite of user-friendly analytical tools that citizens could use to extract community-relevant information from raw sensor data. Some envisioned community uses of the Sensors in a Shoebox platform include but not limited to: measuring neighborhood air quality, tracking the usage of public spaces, and observing residents' mobility choices (walking, biking, and motorized transport).
This project will provide a scientific and technological foundation to the extension of cyber-physical systems to explicitly include humans. So called cyber-physical-social systems, these human-in-the-loop systems have the potential to transform a variety of commercial application including those in transportation, building energy management, among others. The project engages the communities of Detroit, a city beginning to go through transformation after decades of dramatic population declines. Specifically, the project recruits middle- and high school students from Detroit public charter schools to serve at the front lines of the system design and deployment. In doing so, the team will closely study and rigorously assess the experiences of urban youth using the system. In particular, advancement of STEM knowledge and youth's notions of being connected citizens will be qualitatively and quantitatively assessed.
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University of Michigan, Ann Arbor
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National Science Foundation
Elizabeth Moje
Submitted by Jerry Lynch on December 4th, 2017
Cyber-physical systems (CPS), are smart networked systems that have cyber technologies, both hardware and software, deeply embedded in, and interacting with, physical components. CPS represent a core opportunity area and source of competitive advantage for the U.S. innovation economy in the 21st century. A highly skilled science and engineering workforce is needed to design and build CPS, in which cyber and physical components must be tightly integrated into complex, networked systems that must respond in real (physical) time and interoperate safely and securely. This NSF award supports a study, conducted by the Computer Science and Telecommunications Board under the auspices of the National Research Council of the National Academies, that will examine current and future needs in education for Cyber-Physical Systems (CPS).
Two workshops are being convened to gather input and foster dialogue, yielding a brief interim report prepared to highlight emerging themes. The committee's final report will articulate a vision for a 2l-st century CPS-capable U.S. workforce. It will explore the corresponding educational requirements, examine efforts already under way, and propose strategies and programs to develop faculty and teachers, materials, and curricula. It would consider core, cross-domain, and domain-specific knowledge. It would consider the multiple disciplines that are relevant to CPS and how to foster multidisciplinary study and work. In conducting the study, the committee would focus on undergraduate education and also consider implications for graduate education, workforce training and certification, community colleges, the K-12 pipeline, and informal education. It would emphasize the skills needed for the CPS scientific, engineering, and technical workforce but would also consider broader needs for CPS fluency.
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National Academy of Sciences
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National Science Foundation
Submitted by Jon Eisenberg on November 30th, 2017
Due to their increasing use by civil and federal authorities and vast commercial and amateur applications, Unmanned Aerial Systems (UAS) will be introduced into the National Air Space (NAS); the question is only how this can be done safely. Today, NASA and the FAA are designing a new, (NextGen) automated air traffic control system for all aircraft, manned or unmanned. New algorithms and tools will need to be developed to enable computation of the complex questions inherent in designing such a system while proving adherence to rigorous safety standards. Researchers must develop the tools of formal analysis to be able to address the UAS in the NAS problem, reason about UAS integration during the design phase of NextGen, and tie this design to on-board capabilities to provide runtime System Health Management (SHM), ensuring the safety of people and property on the ground. This proposal takes a holistic view and integrates advances in the state of the art from three intertwined perspectives to address safe integration of unmanned systems into the national airspace: from on-board the vehicle, from the environment (NAS), and from the underlying theory enabling their formal analysis. There has been rapid development of new UAS technologies yet few of them are formally mathematically rigorous to the degree needed for FAA safety-critical system certification. This project bridges that gap, integrating new UAS and air traffic control designs with advances in formal analysis. Within the wealth of promising directions for autonomous UAS capabilities, this project fills a unique need, providing a direct synergy between on-board UAS SHM, the NAS environment in which they must operate, and the theoretical foundations common to both of these. This research will help to build a safer NAS with increased capacity for UAS and create broadly impactful capabilities for SHM on-board UAS. Advancements will require theoretical research into more scalable model checking and debugging of safety properties. Safety properties express the sentiment that "something bad does not happen" during any system execution; they represent the vast majority of the requirements for NextGen designs and all requirements researchers can monitor on-board a UAS for system heath management during runtime. This research will tackle new frontiers in embedding health management capabilities on-board UAS. Collaborations with aerospace system designers at the National Aeronautics and Space Administration and tool designers at the Bruno Kessler Foundation will aid real-life utility and technology transfer. Broader impact will be achieved by involving undergraduate students in the design of an open-source, affordable, all-COTS and 3D-printable UAS, which will facilitate flight testing of this project's research advances. An open-UAS design for academia will be useful both for classroom demonstrations and as a research platform. Further impact will be achieved by using this UAS and the research it enables in interactive teaching experiences for K-12, undergraduate, and graduate students and in mentoring outreach specifically targeted at girls achieving in Science, Technology, Engineering and Mathematics (STEM) subjects.
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Iowa State University
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National Science Foundation
Submitted by Kristin Yvonne Rozier on November 28th, 2017
Project
2017 CPS PI Meeting
The purpose of this project is to plan and organize the 2017 NSF Cyber-Physical Systems (CPS) Principal Investigator (PI) Meeting. This meeting convenes all PIs of the National Science Foundation CPS Program for the fifth time since the program began. The PI Meeting is to take place on November 13-14, 2017 in Alexandria, Virginia. The PI meeting is an annual opportunity for NSF-sponsored CPS researchers, industry representatives, and Federal agencies' representatives to gather and review new CPS developments, identify new and emerging applications, and to discuss technology gaps and barriers. The program agenda is community-driven and includes presentations (oral and poster) from PIs, reports of past year program activities, and showcase/pitch new CPS innovations and results.
The annual PI Meeting serves as the only opportunity where the CPS researcher community gathers to share their research, discuss new research opportunities and challenges, and explore new ideas and partnerships for future work. Furthermore, the PI meeting is also an opportunity for the academic research community to interact with industry entities and government agencies with vested interest in CPS research and development. The PI Meeting is a forum for sharing ideas across the CPS community. It has played a major role in growing the community across broad range of sectors and technologies, and performing outreach to others who have interest in learning about the program and participating as future proposers, transition partners, or future sponsors. The 2017 PI meeting will feature additional demonstrations to show the impact of CPS research. Finally, we expect to conduct discussions across the community on considerations and ideas to inspire CPS 2.0, and future collaborations with the Industrial Internet Consortium which includes multiple organizations transitioning CPS research into practice.
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Vanderbilt University
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National Science Foundation
Submitted by Janos Sztipanovits on October 2nd, 2017
Over the past decade there has been a growing awareness and interest in large networked systems such as those presented by power (smart-grid), communication, biological, social and sensor networks. A large body of research focused on networked systems has resulted where the primary goal has been the design of strategies by which individual agents in a network cooperate to achieve coordinated goals. Less studied are competitive-strategic scenarios where agents may be competing while trying to achieve their objectives, or may be competing in teams using local communications for local coordination purposes. This project considers the competitive-strategic domain for two opposing teams, motivated by applications that can abstractly be viewed as a competition between a large collection of autonomous agents, and an adversarial agent or team of adversaries. A primary example is the problem of controlling a large wind farm composed of numerous turbines: each rotating blade creates a downstream wake and every turbine faces the problem of setting an appropriate rotation speed under complex aerodynamic interactions. The cooperative control problem is to determine rotation speeds for the individual turbines that maximize the total collective energy extracted from the wind, under wake effects from neighboring turbines and difficult-to-predict variations in wind speeds and directions. In this example, the Principal Investigators propose to address a generalization of the problem where the turbines are viewed as competing against nature, which continually and adversarial changes the wind speed at each turbine. Ongoing with the analytical and applications-oriented research efforts will be the development of educational programs with interdisciplinary activities in optimization, mathematical systems theory, game theory and clustering algorithms. Both graduate and undergraduate students will be involved, with an emphasis on attracting students from underrepresented groups to participate in the research activities throughout the duration of the project.
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University of Illinois at Urbana-Champaign
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National Science Foundation
Angelia Nedich
Alexander Olshevsky
Submitted by Carolyn Beck on July 24th, 2017
Event
IEEE ICIT 2018
The 19th IEEE International Conference on Industrial Technology
jointly organized by IEEE IES, the University of Lyon, Ampère and Satie labs
contact@icit2018.org
IEEE ICIT is one of the flagship yearly conferences of the IEEE Industrial Electronics Society, devoted to the dissemination of new research ideas and experiments and works in progress within the fields of:
Submitted by Anonymous on July 24th, 2017
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. This project contributes to this "correct-by-construction" approach, by developing scalable, automated methods for the synthesis of control protocols with provable correctness guarantees, based on insights from models of human behavior. It targets: (i) the gap between the capabilities of today's hardly autonomous, unmanned systems and the levels of capability at which they can make an impact on our use of monetary, labor, and time resources; and (ii) the lack of computational, automated, scalable tools suitable for the specification, synthesis and verification of such autonomous systems. The research is based on study of modular reinforcement learning-based models of human behavior derived through experiments designed to elicit information on how humans control complex interactive systems in dynamic environments, including automobile driving. Architectural insights and stochastic models from this study are incorporated with a specification language based on linear temporal logic, to guide the synthesis of adaptive autonomous controllers. Motion planning and other dynamic decision-making are by algorithms based on computational engines that represent the underlying physics, with provision for run-time adaptation to account for changing operational and environmental conditions. Tools implementing this methodology are validated through experimentation in a virtual testing facility in the context of autonomous driving in urban environments and multi-vehicle autonomous navigation of micro-air vehicles in dynamic environments. Education and outreach activities include involvement of undergraduate and graduate students in the research, integration of the research into courses, demonstrations for K-12 students, and recruitment of research participants from under-represented demographic groups. Data, code, and teaching materials developed by the project are disseminated publicly on the Web.
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University of Washington
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National Science Foundation
Submitted by Behcet Acikmese on July 21st, 2017
Dear Colleagues,
Please see below the Call for Papers for ACM SafeThings 2017. We enthusiastically look forward to your submissions on advancements in the safety of the Internet of Things ecosystem.
1st ACM Workshop on the Internet of Safe Things (SafeThings 2017)
https://www.safethings.info/
November 5, 2017 at TU Delft, The Netherlands
Co-located with ACM SenSys 2017
Submitted by Bharathan Balaji on July 18th, 2017
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