CPS-PI Meeting 2017

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Visible to the public Cyber-Physical System for Bridge Lifecycle Monitoring

Submitted by swjeong3 on Wed, 11/29/2017 - 4:21pm. Contributors:

The goal of this research project is to develop a scalable cyber-physical system (CPS) framework for the integration of physical and computational systems for bridge lifecycle monitoring. Bridge monitoring involves several independent but isolated components. Sharing of information and software modules across different systems is limited. Information sharing and system integration would facilitate meaningful use of data, thereby enhancing bridge operation and maintenance and public safety.

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Visible to the public CRII: CPS: Architecture and Distributed Computation in the Networked Control Paradigm: An Autonomous Grid Example

Submitted by nilanjgec on Wed, 11/29/2017 - 4:21pm. Contributors:

This project is focused on the fundamental research in establishing a foundational framework towards the development of an autonomous Cyber-Physical System (CPS) through distributed computation in a Networked Control Systems (NCS) paradigm. Specific attention is focused on an application where the computational, and communication challenges are unique due to the sheer dimensionality of the physical system. An example of such CPS is the smart power grid, which includes large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources.

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Visible to the public Crowdsourcing Urban Bicycle Level of Service Measures

Submitted by Vanessa Frias-Mar... on Wed, 11/29/2017 - 4:21pm. Contributors:

Abstract: Cycling communities have been related to lower obesity rates and lower stress levels. Nevertheless, one of the main obstacles to increase ridership in cities is the lack of information regarding perceived cycling safety at the street level. City planners have typically used extensive road network and traffic information to approximate cycling safety levels.

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Visible to the public CPS: Medium: Collaborative Research: Remote Imaging of Community Ecology via Animal-borne Wireless Networks

Submitted by Nuno Miguel Martins on Wed, 11/29/2017 - 4:21pm. Contributors:

This project features conception, design, and deployment of a wireless network of embedded devices, for monitoring the behavior of animals in the wild. The system is being deployed and tested in biologically relevant scenarios.

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Visible to the public EAGER: Unified and scalable architecture for low speed automated shuttle deployment in a smart city

Submitted by Keith Redmill on Wed, 11/29/2017 - 4:21pm. Contributors:

This NSF CPS EAGER project supports the SmartShuttle and SMOOTH II NIST GCTC technical cluster projects of the City of Columbus and the Ohio State University by developing a unified and scalable solution architecture for low speed automated shuttle deployment in a Smart City. This project will help the development of Columbus as a Smart City, having a broad impact on the mobility choices of its inhabitants.

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Visible to the public CPS: Synergy: Collaborative Research: In-Silico Functional Verification of Artificial Pancreas Control Algorithms

Submitted by srirams on Wed, 11/29/2017 - 4:21pm. Contributors:

We apply formal specification and verification techniques for checking correctness properties of artificial pancreas control algorithms. Formal specification and verification techniques attempt to systematically and exhaustively explore the behaviors of closed loop in silico models to understand the worst case effects of disturbances such as meals, external boluses, sensor noise, pressure induced sensor attenuation and set failures on the predicted blood glucose levels of a "virtual" patient.

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Visible to the public Harnessing the Automotive Infoverse

Submitted by Fan Bai on Wed, 11/29/2017 - 4:21pm. Contributors:

Like today's autonomous vehicle prototypes, vehicles in the future will have rich sensors to map and identify objects in the environment. For example, many autonomous vehicle prototypes today come with lineofsight depth perception sensors like 3D cameras. These 3D sensors are used for improving vehicular safety in autonomous driving, but have fundamentally limited visibility due to occlusions, sensing range, and extreme weather and lighting conditions.