CenSCIR (Center for Sensed Critical Infrastructure Research)
People | Projects
Sensor Andrew
The project's goal is to make Carnegie Mellon one of the most
"sensed" campuses in the world. By mid-2007, Carnegie Mellon researchers will have
access to a campus-wide "living testbed" of sensors and sensed data to provide a platform
for future research.
SPIRAL
The goal of SPIRAL is to push the limits of automation in software
and hardware development and optimization for digital signal processing (DSP) algorithms
and other numerical kernels beyond what is possible with current tools.
Critters: Pervasive Sensor Networks
The Critters project is helping to build CMU as The Most Sensed
Campus by pervasively deploying thousands of sensors around campus.
Time Reversal Imaging
In our work, we study detection and localization with time reversal in the electromagentic
(EM) domain. Our targeted application is radar system.
Networking the Interstate
The goal of this project is to explore possible uses of motor vehicle
sensor information for large scale social/infrastructure purposes.
Product and Process Modeling for Embedded Commissioning
There are several automated product and process models for the building industry
that are under development. In this project, we develop a robust understanding of the information that
needs to be represented in these models; study the IFCs to determine the extent to which they address
commissioning, and designed and implemented a test rig to determine the degree to which IFCs data models
support building commissioning information.
IDeASNet
This co-study between Carnegie Mellon University and The University of Maryland
intends to explore and formalize the information dependency patterns in network forms of organizations in
construction project management and crisis management fields.
ASDMCon
This research project builds on, combines and extends recent advances in generating 3D
environments using laser technologies and embedded sensors in developing an automated early defect detection system.
Development of a Formalism and Framework for Sensing System Design for Inspection of Construction Sites
Those who make decisions based on the status of the built environment currently
cannot adequately compare possible technologies for inspection tasks or make site-level decisions about
the infrastructure needed for inspection during a construction project.
Formalization of Life-Cycle Data Management of Precast Components Using Advanced Tracking Technologies
This research aims to streamline component-related information flow to downstream parties in ETO supply chains.
Construction Knowledge Discovery and Dissemination
We work with other research teams to focus interests on three types of subjects:
Data Mining on traditional database systems, Text Mining, and Image Reasoning as they relate to the AEC
(Architecture, Engineering and Construction) industry.
Large-Area Biosensing Electronics
The goal of this project is the development of low-cost sensing systems capable of
multiple simultaneous analyses of biological systems. These sensing systems will be applied to the electronic
detection of cell motion and/ or cell division.
Infrastructure Sensing for Crack Detention
The work is directed at the development of sensors for infrastructure applications.
Examples are the detection of cracks using ultrasonic waves; detection of acoustic emissions; and
measurement of chloride concentrations in concrete.
Proactively Reconfigurable, Adaptive, Reliable Middleware (MEAD) and MEAD-Lite: Fault-tolerant Middleware for Embedded Sensor Networks
The MEAD system aims to enhance distributed middleware applications with new
capabilities such as transparent, fault tolerance with configurable performance
and timing guarantees, proactive dependability, resource-aware system adaptation to crash,
communication and timing faults with fast fault-detection and recovery.
Trinetra - Assistive Technologies for the Blind
Trinetra aims to develop cost-effective assistive technologies to provide blind
people with a greater degree of independence in their daily activies. The overall objective of the project
is to improve the quality of life for the blind by harnessing the collective capability of diverse networked
embedded devices to support navigation, grocery shopping, transportation, etc.