ABI-ONE ghc program v14.indd - Grace Hopper Celebration of ...

GENERAL POSTER SESSION
W e d n e s d ay | s e p T 3 0
Integrating and Querying a Web of
Hybrid Data Using Wikitology
Presenter: Zareen S. Syed (University of
Maryland, Baltimore County)
The Web is mixture of interwoven
networks of hybrid data such as free
text, links, media, tables, triples etc. There
is a need for new approaches for integrating
information from heterogeneous sources
and in heterogeneous representations.
Through the development of Wikitology
knowledge base derived from Wikipedia,
we demonstrate a novel architecture for
integrating structured and un-structured data
and provide an integrated query interface to
applications.
Intrusion Detection System Using
Support Vector Machine
Presenter: Meenakshi Amirtharaj (Amrita
Vishwa Vidyapeetham)
Nowadays the need to classify legitimate
users and intruders is of high priority.
Support Vector Machines (SVM) is used for
classification. Proximal SVM gives a wider
margin by pushing the data points as far
as possible, yielding better classification.
Reduced SVM reduces the data set size and
uses it for training, leading to less training
time. Therefore the data set is reduced and
feed into ProximalSVM. Feature selection is
preformed. Efficient and faster classification
is obtained.
It Does What and It’s Shipping When!?
Testing in an Experimental Environment
Presenter: Lilia Paradis (Microsoft Live
Labs)
Testing for Microsoft Live Labs presents
unique challenges. The Live Labs ethos
involves experimentation on a small scale,
taking place during quarterly innovation
weeks. Whether and when to ship the
projects that arise from experimentation is
decided democratically.
This poster describes the test problems
and questions existing in Live Labs and the
heuristics that our testers use to turn around
quickly on the next cool thing.
JCinema: Software for Producing
Photorealistic Renderings of
Biomechanical Simulations
Presenter: Spiridoula Lagaditis (University
of British Columbia)
My research focused on developing 3D
visualization tools for software that
works as a bridge between a biomechanical
simulator and an open source rendering
engine to produce high-quality output. I
developed a UI that produces the system in
3D given a large data-set generated by the
simulator which describes how the model
interacts in a physical environment. The UI
allows for user control and ease for further
investigation.
Jesus and the Jimson Weed - How Do
We Derive Meaning from Tags, Text,
and Queries to Support Improved Image
Access?
Presenter: Irene Eleta (University of
Maryland, College Park)
Accessing images from on-line digital art
collections remains challenging because
traditional text-based search techniques are
inadequate. Social tagging is a promising
strategy for improving image retrieval in
such collections. This poster examines
how four areas of research - multi-lingual
tagging, subject categorization of tags
and queries, multi-word tags and terms,
and behavioral approach to understanding
search - shed light on this problem.
Just a Spoonful of Sugar: Mitigating the
Effects of Technology Change
Presenter: Beverly Magda (Georgetown
University)
Because of a White House mandate
for electronic health records by 2014,
many hospitals are experiencing technology
change at a fast pace. Technology projects
notoriously have high failure rates and
research has shown the top reasons why
is not because of the technology itself, but
because of human elements. This research
examined benefits and application of leadership
support, communication, training, and
end-user involvement in hospital emergency
departments implementing electronic
healthcare records.
Land Cover Change Detection Using
Data Mining
Presenter: Vasudha Mithal (Indian
Institute of Technology, Kanpur)
The land-cover-change-detection problem
is one of detecting when the land cover
at a given location has been converted from
one type to another.
The data used in this problem is the
timeseries of FPAR(spectral measure of
the amount of vegetation) for different
geographical locations. The idea is to
develop algorithms which take advantage
of the inherent characteristics of spatiotemporal
data and are scalable i.e. suitable
for high-resolution earth science datasets.
Language Detection Using Hidden
Markov Models - Optimized Algorithm
for Wikipedia Pages
Presenter: Rajitha Rani Satharla
(Autozone)
We intend to solve the problem of
language detection -determining
if given text is in a particular language or
not. We designed and implemented an
algorithm that can extract Wikipedia pages
of a given language, parse the HTML to
retrieve content of that particular language.
While automatically filtering out unnecessary
and redundant content, and Model that
language as a hidden Markov model for easy
detection using an optimized algorithm that
works with bigrams.
56 Anita Borg Institute for Women and Technology | Grace Hopper Celebration of Women in Computing