Eric A. Bier
YOU?
Author Swipe
View article: Automatic Digitization and Orientation of Scanned Mesh Data for Floor Plan and 3D Model Generation
Automatic Digitization and Orientation of Scanned Mesh Data for Floor Plan and 3D Model Generation Open
This paper describes a novel approach for generating accurate floor plans and 3D models of building interiors using scanned mesh data. Unlike previous methods, which begin with a high resolution point cloud from a laser range-finder, our a…
View article: Sensorium: commissioning abundant sensors with augmented reality and QR codes
Sensorium: commissioning abundant sensors with augmented reality and QR codes Open
In the future, it will be possible to build high-quality models of building interiors based on data from a dense fleet of sensors reporting on air volumes much smaller than a room or zone. To enable such models, we are creating technologie…
View article: A data-driven method to control buildings sub-zones to spatio-temporal profiles
A data-driven method to control buildings sub-zones to spatio-temporal profiles Open
The paper develops a data-driven approach to optimally control sub-zonal, spatiotemporal temperature profiles in a spacious room. We first calibrate a 2D diffusion Partial Differential Equation (PDE) model for heat transfer with Bluetooth …
View article: An attack volume metric
An attack volume metric Open
For more than a decade, the notion of attack surface has been used to define the set of vulnerable assets that an adversary may exploit to penetrate a system, and various metrics have been developed to quantify the extent of a system's att…
View article: Graph Analysis for Detecting Fraud, Waste, and Abuse in Health‐Care Data
Graph Analysis for Detecting Fraud, Waste, and Abuse in Health‐Care Data Open
Detection of fraud, waste, and abuse (FWA) is an important yet challenging problem. In this article, we describe a system to detect suspicious activities in large health‐care data sets. Each healthcare data set is viewed as a heterogeneous…
View article: Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data Open
Detection of fraud, waste, and abuse (FWA) is an important yet difficult problem. In this paper, we describe a system to detect suspicious activities in large healthcare claims datasets. Each healthcare dataset is viewed as a heterogeneous…