“Crowdsourced Misuse Detection in Dynamic Spectrum Sharing Wireless Networks”

Most studies on analyzing essay revisions focus on revision operation, or revision purpose, and very few of them focus on the improvement or quality of the revision. In this work, we focus on sentence-level revision quality, and develop a model to automatically predict revision improvement. We explore two datasets, one revised by non-expert writers and another revised by expert writers. We examine existing novel features to develop our classification model. Our study shows future direction for revision improvement prediction with promising results. “Written in the Rock: Engaging Student Organizations at Slippery Rock University” Amy Brunner, MLIS Advisor: Stacy Wood Abstract: During my final semester at Slippery Rock University, I combined my work in the university archives with my Public History class to attempt to engage student organizations and encourage them to donate inactive records to the archives. The poster describes my work to create, advertise, and give a presentation designed to increase student interest in the university archives. I became interested in the idea due to the lack of recent (within the past fifteen years) records in the archives from student organizations, especially from organizations that had been established in the past ten years and felt that an outreach presentation would be an unofficial “capstone” to my previous four semesters of work at the University Archives. I wanted to help students become excited about their archives and let them know how they could leave a lasting mark on the university through the archives. During my final semester at Slippery Rock University, I combined my work in the university archives with my Public History class to attempt to engage student organizations and encourage them to donate inactive records to the archives. The poster describes my work to create, advertise, and give a presentation designed to increase student interest in the university archives. I became interested in the idea due to the lack of recent (within the past fifteen years) records in the archives from student organizations, especially from organizations that had been established in the past ten years and felt that an outreach presentation would be an unofficial “capstone” to my previous four semesters of work at the University Archives. I wanted to help students become excited about their archives and let them know how they could leave a lasting mark on the university through the archives. “Word Prediction in Aphasia Patients’ Procedural Discourse” Karen Cox, PhD in Computer Science Advisor: Taieb Znati Abstract: Aphasia patients often experience difficulty in finding the right word. Can technology help predict the words that patients intend to say? As an initial step in a longer term project, we consider the problem of identifying the best approach to word prediction in patients' transcribed descriptions of how to perform a simple task. We describe our plans to implement a simple initial NGram model, and then augment this approach with greater domain-specific knowledge in future work. Aphasia patients often experience difficulty in finding the right word. Can technology help predict the words that patients intend to say? As an initial step in a longer term project, we consider the problem of identifying the best approach to word prediction in patients' transcribed descriptions of how to perform a simple task. We describe our plans to implement a simple initial NGram model, and then augment this approach with greater domain-specific knowledge in future work.