Field | Address |
---|---|
Repository URL | https://csafe-isu.github.io/slides |
Project directory name | slides |
Create project as subdirectory of | Select with ‘browse’ |
Add a few slides and save. You can copy the format of other slides or make something more sophisticated.
Click ‘Knit’ button.
Commit and push your changes on ‘update-2017-09-11.Rmd’ and ‘update-2017-09-11.html’ in the Git section.
The shinyapps repo on github is a sandbox for our different shiny applications:
bulletr, x3p-viewer, and groove-finder are on there at the moment.
Title: “Elements of Forensic Science for Forensic Practitioners”
Lessons learned:
More lessons learned:
Q: What is trace evidence?
A: Microscopic debris easily transferred from one location to another
I spent the summer at Credit Suisse making models for predicting loan defaults, prepayments, etc. Not much connection with CSAFE unless you believe everybody on Wall St. is a criminal.
During the past week I implemented a neural network for matching bullet signatures. Everything’s running well, but no serious results yet.
Plans for this week: - Maybe actually getting results for the aforementioned model - Replicating studies on CNN effectiveness for stego problems - Reading more about recent developments in Bayesian ML and determining if that could help with my research
STEMversity in Milledgeville, GA - 25 high school students
- One day program
- Intro, shoe print activity, handwriting activity
OPPTAG Explorations
- 15 high school students
- One week program
- ``From the Crime Scene to the Court Room’’
- Alicia, Officer Natasha Greene, DCI Crime Lab, Brandon Garrett J.D.
Coming soon
- National Organization for the professional advancement of Black Chemists and Chemical Engineers (NOBChCE)
- Science Bound (September 23)
- Hands on Activity Modules (Handwriting & Shoeprint)
REU Handwriting Samples - 10 students
- 2 days
- CEDAR Letter & London Letter repeated 3 times each - Signature page
Flash ID
devtools::install_github("CSAFE-ISU/handwriter")
library(handwriter)
data(london)
london_thin = thinImage(london)
london_nodes = getNodes(london_thin)
plotImageThinned(london, london_thin)
plotNodes(london, london_thin, london_nodes)
Summer: Development of x3p write capability in the bulletr package for different profiles Shiny app (wrApp) for reading dat/x3p files and writing in x3p format - Single file mode - Batch Mode and a bunch of other things
Here’s the link https://github.com/ganeshkiastate/wrApp
Plan for the coming days:
Adaptation of the Chumbley score method from toolmark comparisons to bullets. Key challenge: Understanding the drawbacks of the current algorithm when applied to curved surfaces.