Revision as of 12:53, 19 June 2018

I am Jaired Collins, a student at Missouri Southern State University in Joplin, MO, currently majoring in computational mathematics. Outside of academia, I enjoy cycling, weights, table tennis, tennis, and cooking.

Week 1 (29 May - 1 Jun)

Tuesday

• Initial meeting to get introduced into the program.
• Lunch meeting with mentors.
• Obtained MU and MSCS account logins and ID card
• Paperwork

Wednesday

• Met with Dr. Corliss to get acquainted with the GasDay lab and receive a key.
• Met with Dr. Povinelli and another student to set up initial parameters of the project.
• Literature review.

Thursday

• More literature review
• Seminar with GasDay
• Meeting with Dr. Povinelli and student to establish a weekly plan and talk about the project.

Friday

• Literature review
• Planned for a presentation at a GasDay Seminar on the 21st of June
• Data cleaning

Week 2 (4 Jun - 8 Jun)

Monday

• Meeting with Dr. Corliss
• Meeting with Dr. Povinelli and Colin
• Literature search
• Cleaned up more data

Tuesday

• Meeting with Dr. Corliss
• Data cleaning
• Played around with data and SVMs in MatLab
• Meeting with research consultant
• Literature review

Wednesday

• Cross validation with k-Fold
• GasDay Camp
• Literature search

Thursday

• More built-in SVM work in MatLab
• GasDay camp
• REU working lunch meeting

Friday

• Meeting with Dr. Corliss
• Creation of ShareLaTeX project
• Converted temporal pressure data into nonuniform time series data
• Tried resampling time series data into uniform data

Week 3 (11 Jun - 15 Jun)

Monday

• Meeting with Dr. Corliss
• Meeting with Dr. Povinelli
• Resampled nonuniform data
• Forecasting with ARIMA
• Left computer running to finish ARIMA models

Tuesday

• Examined and saved ARIMA models
• Dissimilarity-based approach to prediction, where correlation coefficients between sensors are used as features
• SVM and k-fold cross validation at k = 5, 10, and 20

Wednesday

• Meeting with Dr. Corliss to elucidate LS-SVM for regression
• Coding LS-SVM
• RCR lunch meeting

Thursday

• Meeting with Dr. Corliss, further explained LS-SVM
• GasDay seminar
• Coding of LS-SVM for regression
• Meeting with Dr. Povinelli

Friday

• Out for wedding

Week 4 (18 Jun - 22 Jun)

Monday

• Out for wedding

Tuesday

• Wrote parts of abstract and background
• Collaborated on paper with graduate student
• Read Anomaly Detection in Streaming Nonstationary Temporal Data

Week 5 (25 Jun - 29 Jun)

First pass of research paper

Week 6 (2 Jul - 6 Jul)

Generate new ideas for algorithm

Week 7 (9 Jul - 13 Jul)

Code and test algorithm

Week 8 (16 Jul - 20 Jul)

More experiments with algorithm

Week 9 (23 Jul - 27 Jul)

Work on final draft of research paper
Work on poster

Week 10 (30 Jul - 3 Aug)

Prepare final presentation