2018

file

Visible to the public Data-Driven Cyberphysical Systems Provably Correct Control in Data Rich/Labels Scarce Scenarios

Submitted by Mario Sznaier on Tue, 01/22/2019 - 5:36pm. Contributors:

The overall goal of this project is to develop theory, methods and tools necessary to take advantage of data in the design, certification, manufacturing and operation of cyberphysical systems. The central question we ask is "How can we, in a data-rich world, design and operate cyberphysical systems differently?" Data-driven techniques will help transform the design process of cyberphysical systems into one in which data and models--and human designers and operators--continuously and fluently interact.

file

Visible to the public CYbersecure Distribution systems with power Electronically interfaced Renewables (CYDER)

Submitted by Chen-Ching Liu on Tue, 01/22/2019 - 5:36pm. Contributors:

The overarching research goal of this project is to design a new comprehensive methodology for cyber-security monitoring and mitigation in systems with a multitude of dynamical devices that are prone to cyberattacks. To demonstrate the performance of our proposed algorithms, we study their application for an electric power distribution system as a critical cyberinfrastructure, which includes substations, feeder devices, and smart meters.

file

Visible to the public Data Representation and Modeling for Unleashing the Potential of Multi-Modal Wearable Sensing Systems

Submitted by Edgar Lobaton on Tue, 01/22/2019 - 5:36pm. Contributor:

The recent increase in the variety and usage of wearable sensing systems allows for the continuous monitoring of health and wellness of users. The output of these systems enable individuals to make changes to their personal routines in order to minimize exposures to pollutants and maintain healthy levels of exercise. Furthermore, medical practitioners are using these systems to monitor proper activity levels for rehabilitation purposes and to monitor threatening conditions such as heart arrhythmias.

file

Visible to the public Cybernizing Mechanical Structures Through Integrated Sensor-Structure Fabrication

Submitted by Jiong Tang on Tue, 01/22/2019 - 5:36pm. Contributors:

The timely and accurate detection and identification of faults in various mechanical structures during their operations can play a vitally important role. Currently, however, there exist major challenges and barriers. Because the mechanical structures are continuous with infinitely many possible scenarios/patterns of faults that have extremely small characteristic lengths, the sensory system needs to rely on the usage of high-frequency response signals.

file

Visible to the public Cyber-Physical Sensing, Modeling, and Control for Large-Scale Wastewater Reuse and Algal Biofuel Production

Submitted by Zhihai He on Tue, 01/22/2019 - 5:26pm. Contributors:

In this project, we have developed an integrated set of cyber-physical sensing, modeling, and control methods and tools to support large-scale intelligent Wastewater Reuse and Algal Biomass (iWRAB) production.

file

Visible to the public Cyber-Physical Sensing, Modeling, & Control with Augmented Reality for Smart Manufacturing Workforce Training & Operations Mgt

Submitted by Zhaozheng Yin on Tue, 01/22/2019 - 5:26pm. Contributors:

An effective way for manufacturers to tackle and outpace the increasing complexity of product designs and ever-shortening product lifecycles is to effectively develop and assist the workforce. Yet the current management of manufacturing workforce systems relies mostly on the traditional methods of data collection and modeling, such as subjective observations and after-the-fact statistics of workforce performance, which has reached a bottleneck in effectiveness.