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Visible to the public Smart Flexible Camera Sheet: Ultra-thin Semantic-guided Cooperative Micro-camera Array

Abstract:

This highly interdisciplinary research addresses two fundamental challenges in image sensing and image understanding: 1) versatile camera systems in a small form factor, and 2) 3-dimensional scene and object recognition from 2-dimensional photos. These fundamental challenges are tackled together by developing a cyber-physical imaging system, called a smart flexible camera sheet, which integrates an array of many micro-cameras (each millimeters in size) onto a thin substrate.

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Visible to the public WARP: Wide Area Resilient Protection

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Protective relays play a crucial role in steering the dynamics of the electric grid during stressed system conditions. However, as some blackout logs have shown, relay mis-operations during stressed conditions can trigger a cascade eventually leading to a blackout. Currently, there is no way to correct such mis-operations, should they occur. We propose the use of wide-area information to supervise relay operation, especially those attached to generator units and critical transmission lines.

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Visible to the public CPS: Breakthrough: Towards a Science of Attack Composition, Mitigation and Verification in CPS: A Passivity Based Approach

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Cyber-physical systems (CPS) have become increasingly prevalent in applications including health care, energy, and transportation. The tight coupling between cyber and physical components of CPS implies that cyber attacks can degrade the safety, availability, and performance of physical components. The cyber components also introduce multiple entry points to the CPS, lowering the cost of attacks compared to purely physical systems.

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Visible to the public CPS: Synergy: Cyber Physical Regional Freight Transportation System

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The purpose of this research is to develop optimization and control techniques and integrate them with real-time simulation models to achieve load balancing in complex networks. Our application case is the regional freight system. Freight moves on rail and road networks which are also shared by passengers. These networks today work independently, even though they are highly interdependent, and the result is inefficiencies in the form of congestion, pollution, and excess fuel consumption. These inefficiencies are obse

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Visible to the public Advanced peak demand forcast and battery dispatch algorithms to integrate storage-based demand response with BAS

Abstract:

Large scale applications of cyber physical systems (CPS) such as commercial buildings with Building Automation System (BAS)-based demand response (DR) can play a key role in alleviating demand peaks and associated grid stress, increased electricity unit cost, and carbon emissions. However, benefits of BAS alone are often limited because their demand peak reduction cannot be maintained long enough without unduly affecting occupant comfort.

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Visible to the public Communication for Automated Vehicle Efficiency and Safety Systems

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Overview: The human cost of transportation in the US reaches an unnecessary 33000 fatalities and 2.2 million injuries every year. The inefficiency of road transportation also burdens our economy, with only the cost of fuel wasted in traffic reaching $88 billion a year.

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Visible to the public Smart Power Systems of the Future: Foundations for Understanding Volatility and Improving Operational Reliability

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GRID 2020: The power grid in the U.S. and many regions of the world is undergoing changes because of new technologies and government mandates. It is believed that smart meters and a smarter grid will lead to more efficient use of our infrastructure. In addition, increased renewable energy integration will provide power at low cost.

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Visible to the public MetaSense: Calibration of Personal Air Quality Sensors in the Field

Abstract:

Cyber-Physical Systems (CPS) promise to change how we study and interact with physical world. CPS use sensors and actuators connected to an autonomic cyberinfrastructure. A key requirement for having dependable CPS is the correct calibration of their sensors. Unfortunately, the current state of the art is to calibrate sensors in laboratories, often manually. Moreover, commodity sensor precision degrades over time. Consequently, sensors must be periodically recalibrated.