RIT hosted the Golisano College Kids of 2023 for an activity inspired by CS Unplugged. We had a ton of fun with the 26 first graders from Canandaigua Primary School and even taught them how to convert to and from binary! There’s a short blurb about it in the GCCIS Women in Computing 2007/2008 Year in Review. The class was celebrating their internationally award-winning video that promotes women in technology. You can watch the video below:
I presented a talk on the different Java artificial intelligence frameworks at the monthly RJUG meeting. The presentation focused on JOONE, but also contained demos of JESS and a brief overview of JGAP. I have used both JOONE (artifical neural networks) and JESS (expert systems) for course projects. My slides from the presentation are available here. Two JOONE code examples were presented: XOR and RJUG Attendance Predictor (requires joone-engine.jar).
RIT hosted the second annual Possibilities In Computing conference in the Golisano College atrium. It was designed for guidance counselors, computing, math and technology teachers to learn about the latest job opportunities and degree programs. I volunteered to share my experiences and thoughts with the attendees and met some great people from the local highschools.
I gave a presentation on a form of unsupervised action classification using spatial-temporal correlations based on the work presented here. My slides from the presentation are also available here.
I gave a presentation on a form of induced blindness known as change blindness for my Image Understanding course. Change blindness is the the inability to detect large changes in a scene that occur during a saccade or interruption. My slides from the presentation are available here.
For my independent study, I investigated optical character recognition techniques and their application to recognizing text-based HIPs (methods used to distinguish human users and machines on the internet). This study is an extension of methods covered in neural networks and machine learning, computer vision, and artificial intelligence. The report includes experimental results of breaking the ASP Security Image Generator (CAPTCHA) v2.0 with a 72% success rate. Posting of source code is not currently planned. However, my paper contains fairly detailed steps and can be downloaded here.
As part of my Artifical Intelligence course, we developed a rule-based expert system that can autonomously govern a building’s environment to optimize user comfort and energy consumption, whilst providing safety and monitoring functions. The expert system has been developed using the Java programming language and the Java Expert System Shell (JESS). Rules are stored as an external resource and can be modified in real time without requiring a rebuild of the entire project. Write-up 1 includes problem description, design considerations, and implementation details. Write-up 2 includes testing results and a comparison to another system.
Optical character recognition refers to the process of translating images of hand-written, typewritten, or printed text into a format understood by machines for the purpose of editing, indexing/searching, and a reduction in storage size. The OCR process is complicated by noisy inputs, image distortion, and differences between typefaces, sizes, and fonts. Artificial neural networks are commonly used to perform character recognition due to their high noise tolerance. In my Artificial Intelligence course, I explored several OCR techniques which utilize ANN’s.
Paper
My final writeup where I surveyed four OCR techniques which utilized ANNs can be downloaded here.
Presentation
I also gave a final presentation on my research where I compared and contrasted four methods. My slides can be downloaded here.
For my Computer Vision course project, I implemented the seam carving technique by Shai Avidan of Mitsubishi Electronic Research Labs and Ariel Shamir of The Interdisciplinary Center and MERL. My final paper, presentation, and code for my seam carving project is now available.
I graduated from the
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