2015 CPS PI MTG Videos, Posters, and Abstracts

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Visible to the public Achieving High-Resolution Situational Awareness in Ultra-Wide-Area Cyber-Physical Systems

Abstract:

Motivation: Energy infrastructure is a critical underpinning of modern society. To ensure its reliable operation, a nation-wide or continent-wide situational awareness system is essential to provide high-resolution understanding of the system dynamics such that proper actions can be taken in real-time in response to power system disturbances and to avoid cascading blackouts. The power grid represents a typical highly dynamic cyber-physical system (CPS).

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Visible to the public Adaptive Intelligence for Cyber-­Physical Automotive Active Safety System Design and Evaluation

Abstract:

In order to improve the current capabilities of automotive active safety control systems (ASCS) one needs to take into account the interactions between driver/vehicle/ASCS/environment. To achieve this goal, this research will infer longterm and short-term driver behavior via the use of Bayesian networks and neuromorphic algorithms to estimate the driver's skills and current state of attention from eye movement data, together with dynamic motion cues obtained from steering and pedal inputs.

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Visible to the public CPS: Synergy: Self-Sustainable Data-Driven Systems In the Field

Abstract:

Data-driven intelligence is an essential foundation for physical systems in transportation safety and efficiency, area surveillance and security, as well as environmental sustainability. While sophisticated data analysis and synthesis can be well supported in large data centers, future intelligent systems require on-the-scene processing with faster responses and less dependence on the unreliable (often wireless) data communications in the field.

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Visible to the public Sensing as a Service - Architectures for Closed-loop Sensor Network Virtualization

Abstract:

The goal of this project is to demonstrate that new cyber physical architectures will enable closed-loop sensor networks to be shared among multiple applications. This aids in dynamically allocating sensing and computing resources necessary to analyze sensor data and perform sensor actuation. Existing closed-loop sensor networks are based on dedicated, ``stove-pipe'' architectures, that prevent the sharing of these networks.

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Visible to the public CPS: Breakthrough: Toward Revolutionary Algorithms for Cyber-Physical Systems Architecture Optimization

Abstract:

One of the challenges for the future cyber-physical systems is the exploration of large design spaces. Genetic algorithms (GAs), which embody a simplified computational model of the mutation and election mechanisms of natural evolution, are known to be effective for design optimization. However, the traditional formulations are limited to choosing values for a predetermined set of parameters within a given fixed architecture.

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Visible to the public Control-Theoretic Defense Strategies for Cyber-Physical Systems

Abstract:

This project will design next-generation defense mechanisms to protect critical infrastructures, such as power grids, large industrial plants, and water distribution systems. These critical infrastructures are complex primarily due to the integration of cyber and physical components, the presence of high-order behaviors and functions, and an intricate and large interconnection pattern.

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Visible to the public Frontier: Correct-by-Design Control Software Synthesis for Highly Dynamic Systems

Abstract:

This project addresses highly dynamic Cyber-Physical Systems (CPSs) understood as systems where a computing delay of a few milliseconds or an incorrectly computed response to a disturbance can lead to catastrophic consequences. Such is the case of advanced safety systems on passenger cars, unmanned air vehicles performing critical maneuvers such as landing, or disaster and rescue response bipedal robots rushing through the rubble to collect information or save human lives.

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Visible to the public Transit Hub: A Smart Decision Support System for Public Transit

Abstract:

Transit hub is a city scale smart phone application that provides real-time, contextual transit travel planning services. It uses a centralized decision support system for integrating the different sensor data streams including the automated vehicle locator, the usage data gathered from the application, and other related data streams that are publically available.