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

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GENERAL POSTER SESSION<br />

W e d n e s d ay | s e p T 3 0<br />

Learning Anywhere?<br />

Presenter: Olutayo Boyinbode (University<br />

<strong>of</strong> Cape Town)<br />

Ubiquitous Computing is a brand –<br />

new and human centered computing<br />

paradigm, which is seamlessly embedded<br />

into every fabric <strong>of</strong> our lives. Ubiquitous<br />

learning also called U-learning is based on<br />

ubiquitous technology.<br />

The most important and complete role<br />

<strong>of</strong> Ubiquitous computing technology in<br />

U-learning is to construct a ubiquitous<br />

learning environment, where any woman<br />

is able to learn at anyplace and anytime.<br />

African Women can be empowered through<br />

U-learning.<br />

LEMON: A Cheap and Accurate Indoor<br />

Localization Technique<br />

Presenter: Israat Tanzeena Haque<br />

(University <strong>of</strong> Alberta)<br />

Indoor localization is a challenging problem<br />

due to the unavailability <strong>of</strong> GPS under<br />

the ro<strong>of</strong>. One solution to such localization<br />

problem is to use RF-based pr<strong>of</strong>iling.<br />

With pr<strong>of</strong>iling, the problem <strong>of</strong> localization<br />

boils down to data mining in a database<br />

<strong>of</strong> pr<strong>of</strong>iled samples and then averaging<br />

the coordinates <strong>of</strong> best-matched samples<br />

into an approximate location. We propose<br />

a novel pr<strong>of</strong>iling-based indoor localization<br />

scheme dubbed LEMON, which <strong>of</strong>fers high<br />

accuracy but simple and inexpensive.<br />

Lessons Learned in Selecting,<br />

Developing, and Assessing Outreach<br />

Curriculum for Middle School Girls<br />

Presenter: Nannette Napier (Georgia<br />

Gwinnett College)<br />

This poster will provide insights from<br />

multiple perspectives on appropriate<br />

outreach to middle school girls, relative to<br />

existing resources. Some <strong>of</strong> us share years<br />

<strong>of</strong> experience with camps and workshops<br />

with many resources at our disposal. While<br />

others are starting from “Scratch” at a new<br />

college with no existing <strong>program</strong>s. We share<br />

strategies for selecting, designing, and<br />

assessing curriculum and provide concrete<br />

examples <strong>of</strong> effective <strong>program</strong>s for middle<br />

school outreach.<br />

Measuring the Value <strong>of</strong> Enterprise<br />

Architecture - A Metrics Driven<br />

Approach<br />

Presenter: Manasa Basavaraju<br />

(Pennsylvania State University)<br />

Enterprise Architecture (EA) is increasingly<br />

being adopted by large enterprises these<br />

days. Yet the research related to its value<br />

measurement is very limited. This research<br />

attempts to investigate the current state <strong>of</strong><br />

EA value measurement in organizations and<br />

measurement techniques. Here we extend a<br />

well known measurement technique called<br />

Goal-Question-Metric to EA by adding new<br />

features and propose a conceptual model<br />

which organizations can utilize to evaluate<br />

their EA <strong>program</strong> efforts.<br />

Metadata Annotation Support System<br />

Using Blogs and Personal LifeLogs<br />

Presenter: Airi Sonehara (Tsuda College)<br />

“Lifelogging” refers to creating records<br />

<strong>of</strong> individuals’ life experiences. Recent<br />

progress <strong>of</strong> storage technology and<br />

wearable devices has made lifelogging<br />

much easier. In addition, consumers can shift<br />

their focus away from taking pictures and<br />

focus on reusing content. Nonetheless, it is<br />

time-consuming to find pictures from huge<br />

multimedia data collections. Efficient search<br />

environments can be created by using<br />

personal lifelogs. We propose a metadata<br />

annotation system to support multimedia<br />

content reuse.<br />

Methyalted DNA Sequence Alignment<br />

Presenter: M. Elizabeth O. Locke<br />

(University <strong>of</strong> Western Ontario)<br />

In bioinformatics, comparing biological<br />

sequences is fundamental to research.<br />

However, DNA methylation <strong>of</strong> the sequence<br />

at specific sites can affect sequence regulation<br />

and function between species, tissues,<br />

and disease states.<br />

To compare these annotated sequences<br />

efficiently and meaningfully, we augment<br />

traditional dynamic <strong>program</strong>ming alignment<br />

algorithms and incorporate methylation<br />

pr<strong>of</strong>iles directly. This approach could further<br />

biological study and enable effective<br />

searches through very large databases<br />

required for methylated DNA sequence data.<br />

Mobile Collaboration - “Base <strong>of</strong> the<br />

Pyramid” Phones with Implications for<br />

Emerging Geographies<br />

Presenter: Kiran Grover (IBM India Private<br />

Ltd.)<br />

With increase in mobile penetration<br />

across the globe, mobile-phones have<br />

become important mean for collaboration.<br />

Mobile-Collaboration can be <strong>of</strong> great help to<br />

uplift people living at Base <strong>of</strong> Pyramid(BoP).<br />

It can help to raise people socially and<br />

economically. This presentation will focus on<br />

BoP in Rural Indian market, their requirements<br />

and how Mobile-Collaboration can<br />

help. This will also discuss technological<br />

tailoring required in mobile hand-sets to<br />

fulfill the demands.<br />

Modeling the Distribution <strong>of</strong> Mouse<br />

Mediated Responses<br />

Presenter: Maria Vicente Bonto-Kane<br />

(North Carolina State University)<br />

HCI methods rely on KLM GOMS and<br />

Fitts’s Law models to predict mouse<br />

movement times for accessing icons on<br />

an interface. Current models, however,<br />

generate single point estimates. This<br />

research presents methods using distribution<br />

modeling. The lognormal model along<br />

with empirically derived parameters helped<br />

in distribution modeling <strong>of</strong> response times<br />

and <strong>of</strong>fered not only confidence intervals but<br />

also quantiles for predicting performance<br />

boundaries <strong>of</strong> users.<br />

Anita Borg Institute for Women and Technology | <strong>Grace</strong> <strong>Hopper</strong> <strong>Celebration</strong> <strong>of</strong> Women in Computing 57

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