VTechWorks

VTechWorks provides global access to Virginia Tech scholarship, including journal articles, books, theses, dissertations, conference papers, slide presentations, technical reports, working papers, administrative documents, videos, images, and more by faculty, students, and staff. Faculty can deposit items to VTechWorks from Elements, including journal articles covered by the University open access policy. Email vtechworks@vt.edu for help.


 
Open Access Policy

Open Access Policy

Virginia Tech's open access policy enables researchers to deposit the accepted version of scholarly articles with no embargo.


Theses and Dissertations

Theses and Dissertations

Virginia Tech was first in the world to require ETDs in 1997, and continues to add scans of older theses and dissertations.


Open Textbooks

Open Textbooks

More than 40 freely available and openly licensed textbooks are among our most downloaded items.


Recent Submissions

Corps Review, Fall 2023
(Virginia Tech, 2023)
The Corps Review is published twice a year by the Virginia Tech Corps of Cadets Alumni Inc. (VTCCA).
Ware Lab Sponsorship, Competition Results and Tour Outreach for 2022-23
(Virginia Tech, 2023)
This report summarizes sponsorship, competition results, and Ware Lab tour outreach for all competition teams housed in the Joseph F. Ware Jr. Advanced Engineering Lab facility for Virginia Tech’s College of Engineering.
Virginia Tech Annual Financial Report 2023-2022
(Virginia Tech, 2024)
This is the annual financial report for Virginia Tech in fiscal year 2023.
On the Role of Uncertainty in Poisson Target Models Used for Placement of Spatial Sensors
Kim, Mingyu; Yetkin, Harun; Stilwell, Daniel J.; Jimenez, Jorge (SPIE, 2023-01-01)
This paper addresses the role of uncertainty in spatial point-process models, such as those that might arise in modelling ship traffic. We consider a doubly stochastic Poisson point process where the intensity function is uncertain. To assess the role of uncertainty, we conduct a large set of numerical trials where we estimate a doubly stochastic Poisson point-process model from historical target data, and the evaluate the model by assessing the target detection performance of a set of sensors whose locations are selected using the model. Our work is motivated by seabed sensors that detect ship traffic, and we conduct numerical trials using historical ship traffic data near the mouth of the Chesapeake Bay, Virginia, USA, that was recorded by the Automated Identification System.
Electronic Health Record: Comparative analysis of HL7 and open EHR approaches
Nestor, Mamani Macedo; Garcia Hilares, Nilton Alan; Julio, Pariona Quispe; R, Alarcon Matutti (IEEE, 2010-06-01)
This paper presents a comparative analysis of the main proposals to automatize a Patient’s Health Record in any Medical Center: HL7 and OpenEHR. The methodology includes analyzing each approach, defining some criteria of evaluation, doing a comparative chart, and showing the main conclusions.