Monday, April 21, 2014

Week 4/14/14

This week I have completed the first version of the poster for the Grace Hopper Celebration of Women in Computing. I had to do a lot of finking with the poster to fit all of the important information on it. It was very hard to narrow down what should go on the poster. I think it looks pretty nifty now.

I also submitted an application for a scholarship to attend this celebration. I really hope that I get this scholarship. Since I am graduating, I am not sure if I can still get funding from the CREU program to attend. I need to look into this matter, but the scholarship would certainly help cut the costs down of attendance.  

I set a date for presenting this research to the department for my senior project. I get to present on May 28th at 11:00 am. It should be a jolly good time!

I also wrote the first draft of the final report for this project. I can't believe the year is almost over! This has been such a great experience for me. I will really miss the weekly meetings with Dr. Bonita and Dr. Sharif!

Week 3/30/14-4/7/14

This week, I presented our paper at the YSU Quest forum for student research. It was very well received and the audience seemed very interested in the topic. I really enjoyed having the opportunity to present and got some good feedback. Some interesting question were posed at the end of the presentation. Since we had very good results, we did not look too closely at the very few negative cases (non duplicates) that were mislabeled as duplicates. One audience member asked what happened in these small number of cases. I intend to look into this more closely to find the source of the problem to improve our system. Another audience member, who often writes bug reports himself, asked if we had any issues with profanity in the reports we studied (since he is not often happy when he is writing his reports). This seems like an interesting thing to look into (although we did not encounter any problems from it in our tests).

I also presented our project from a more mathematical stand point at the Ohio MAA sectional meeting. I talked about the different Metric preserving functions that were essential to make some of our machine learning algorithms that cluster data (K-nearest neighbors) a logical choice. The audience here was curious about the datasets that we used. One audience member suggested that we also try out our system on some proprietary software, to see if our excellent results still hold.