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Computing & Information Sciences

Discovering new, innovative methods and research opportunities in solving complex present-day and future computing challenges.

We present a novel pipeline for localizing a free roaming eye tracker within a LiDAR-based 3D reconstructed scene with high levels of accuracy. By utilizing a combination of reconstruction algorithms that leverage the strengths of global versus local capture methods and user-assisted refinement, we reduce... READ MORE
Machine-learning algorithms have the potential to support trace retrieval methods making significant reductions in costs and human-involvement required for the creation and maintenance of traceability links between system requirements, system architecture, and the source code. These algorithms can be trained how to detect the... READ MORE
This thesis discusses the Random Early Detection (RED) algorithm, proposed by Sally Floyd, used for congestion avoidance in computer networking, how existing algorithms compare to this approach and the configuration and implementation of the Weighted Random Early Detection (WRED) variation. RED uses a probability approach... READ MORE
The Northeast Collegiate Cyber Defense Competition (NECCDC) [2] is a regional competition that feeds the National Collegiate Cyber Defense Competition (CCDC)[1]. Since RIT organized the first NECCDC in 2008, the NECCDC has selected a representative to compete in the CCDC. It has been relatively successful... READ MORE
Cyber security and forensics are among the most critical areas of national importance with a rising demand for knowledgeable professionals. In response to the increasing need for advanced studies in forensics, we propose game-based modules using the game-based learning approach that enable first-year students to... READ MORE
Numerous catastrophic accidents have been the result of human operators making poor judgement calls stemming from suboptimal decision making. This suboptimal decision making, in many cases, arises when an operator is either in a high cognitive workload state, overwhelmed with information leading to a... READ MORE
Automatic synthesis of linguistically accurate and natural-looking American Sign Language (ASL) animations would make it easier to add ASL content to websites and media, thereby increasing information accessibility for many people who are deaf. Based on several years of studies, we identify best practices for... READ MORE