Data

Improving the Efficiency of Healthcare Delivery System in Underdeveloped Rural Areas

Singh, Amarjeet
Naik, Vinayak
Lal, Sangeeta
Sengupta, Raja
Saxena, Deepak
Singh, Pushpendra
Puri, Ankur
2011

A low doctor-to-patient ratio in rural areas of under-developed regions results in an inefficient and expensive delivery of healthcare. Information and Communication Technology (ICT) could play an important role in improving the efficiency and making healthcare more affordable. In this position paper, we present an architectural framework to use ICT (specifically mobile technology) for efficient delivery of healthcare to masses. The proposed framework is (1) comprehensive to cover majority of critical diseases (2) sound from medical science point of view, (3) interfacable to Electronic...

Making indoor maps with portable accelerometer and magnetometer

Xuan, Yiguang
Sengupta, Raja
Fallah, Yaser
2010

The paper describes algorithms required to enable the crowd sourcing of indoor building maps, i.e., where global positioning system (GPS) is not available. Nevertheless to enable crowd sourcing we use the 3-axis accelerometers and the 3-axis magnetometers available in many smart phones. Volunteers carry the phones while walking around in buildings, and use some application on their smart phones to send the data to a mapping server. We present the algorithms to obtain walking trajectories from the data by dead reckoning, and to estimate indoor maps with multiple walking trajectories.

Numerical Simulation and Spectral Analysis of Pressure Fluctuations in Vehicle Aerodynamic Noise Generation

Duncan, Bradley D.
Sengupta, Raja
Mallick, Swapan
Shock, Rick
Sims-Williams, D. B.
2002

A new approach is proposed and demonstrated for investigation of the spatial structure of fluctuations in unsteady aerodynamics results obtained using CFD. This approach is used in this study to isolate unsteadiness in the flow field due to coherent structures at relatively high frequency from the dominant organized motion, as well as from the computational noise, in unsteady data obtained from CFD simulations. These simulations are performed using the commercial CFD software, PowerFLOW, which employs a Lattice Boltzmann method and a very large-eddy simulation (VLES) model for small-scale...

Overcoming battery life problems of smartphones when creating automated travel diaries

Jariyasunant, Jerald
Sengupta, Raja
Walker, Joan
2014

Gathering data using travel diaries has been a requirement to analyze travel behaviour data for decades. Traditional pen and paper techniques of gathering data has been complemented by new technologies, most recently GPS loggers, and now smartphones. Smartphones appear to be the silver bullet in collecting travel data on a wide scale, they are widespread, applications are easy to distribute, and the hardware is reliable. However, conserving the battery life in smartphones is a challenge to creating automated travel diaries. The smartphone is not solely a travel diary tool and for a system...

Predicting driver destination using machine learning techniques

Manasseh, Christian
Sengupta, Raja
2013

In this paper we present a method for predicting the driver's destination with 96% accuracy. Knowing the driver's destination has many useful applications in traffic safety, traffic mobility, and influencing driver behavior. Furthermore, a software application that can predict the driver's destination can reduce the burden on the driver from manually entering the destination address on small-screen mobile devices. Current methods for predicting driver destination do that by predicting the driver's route. Those methods result in 72% accuracy if relying only on GPS traces. By providing...

Quantifying Transit Travel Experiences from the Users’ Perspective With High-Resolution Smartphone and Vehicle Location Data: Methodologies, Validation, and Example Analyses

Carrel, Andre
Lau, Peter S. C.
Mishalani, Rabi G.
Sengupta, Raja
Walker, Joan L.
2015

While transit agencies have increasingly adopted systems for collecting data on passengers and vehicles, the ability to derive high-resolution passenger trajectories and directly associate them with transit vehicles in a general and transferable manner remains a challenge. In this paper, a system of integrated methods is presented to reconstruct and track travelers usage of transit at a detailed level by matching location data from smartphones to automatic transit vehicle location (AVL) data and by identifying all out-of-vehicle and in-vehicle portions of the passengers trips. High-...

Request-Adaptive Packet Dissemination for Context-Aware Services in Vehicular Networks

Shafiee, Kaveh
Leung, Victor C. M.
Sengupta, Raja
2012

Many applications in vehicular networks are context-aware in that the observations of sensing nodes, potentially vehicles, at a target location should be made available to the requesting node possibly at a different location. In order to provision such applications, two phases of packet routing between the requesting node and the target location and packet dissemination within the target location need to be implemented. In this paper, we focus on the second phase and propose an efficient reliable packet dissemination mechanism, Request-adaptive Packet Dissemination Mechanism (RPDM), in...

Research Brief: The Changing Impacts of the COVID-19 Pandemic on Individuals and Households in the U.S.

Bouzaghrane, Mohamed Amine
Obeid, Hassan
Parker, Madeleine
Li, Meiqing
Hayes, Drake
Chen, Minnie
Frick, Karen Trapenberg
Rodríguez, Daniel
Walker, Joan
Sengupta, Raja
Chatman, Daniel G.
2021

This brief describes findings from a research effort to understand the changing impacts of the pandemic upon households from different places and backgrounds living in the United States. We investigated the effects of the pandemic along with pandemic-based restrictions and rules on people’s behavior along with their mental and emotional health, social relations, and livelihoods. Unlike other research efforts, as far as we are aware this effort is the only one to join passive data from cell phones with survey information collected from the same individuals over time. We combined these data...

Stability Bounds on Entropy Rate for Real-Time Tracking an Unstable LTI Process Over a Multi-Access Network

Huang, Ching-Ling
Sengupta, Raja
2009

We assume the separation of source/channel coding and propose a framework for real-time tracking an unstable, scalar, linear time-invariant (LTI) process via a G/G/1- queueing network. We derive a stability bound on the entropy rate of an unstable LTI process such that tracking error can stay bounded for specified moment. This bound is a function of the moment to be stabilized, encoder efficiency, quantization accuracy, and network parameters. This bound is sufficient under all load conditions and tight when the network is heavily utilized. Proposed framework covers a broad class of...

Structural Damage Detection, Localization, and Quantification Via UAV-Based 3D Imaging

Peng, Xin
Su, Gaofeng
Chen, Zhiqiang
Sengupta, Raja
2022

Visual damage inspection for civil structures is a labor-intensive and timeconsuming task. We propose an autonomous UAV-based pipeline for crack and spalling detection, localization, and quantification. Through fusing 3-dimensional (3D) reconstruction and 2D damage detection after performing UAV-based imaging for an engineering structure, the process generates a damage-annotated 3D information model with rich metadata, including the size and type of damage and its location relative to the structure. The pipeline is composed of four steps: image acquisition via UAV, 3D scene reconstruction...