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- Information systems (2)
- Accurate visual detail and behavior (1)
- BarraCUDA (1)
- Calculating music similarity (1)
- DNA mapping (1)
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- Dry granular material simulations (1)
- GNUMAP (1)
- Graphical processing (1)
- Indecision and fraud (1)
- Intelligent stitching (1)
- Mobile device (1)
- Mobile phones (1)
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- Neurological measurements (1)
- Offline stroke extraction (1)
- Online handwriting recognition (1)
- Security warnings (1)
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A Novel Approach To A Big Simulation Problem: Creating Efficient Dry Granular Material Simulations With Accurate Visual Detail And Behavior, Seth Holladay
Journal of Undergraduate Research
We received a MEG grant for researching the simulation of granular materials for computer graphics and animation. Materials such as sand and snow simulation is very expensive but necessary for productions, as well as hard to control the look, so I have been mentoring undergraduate and graduate students researching how to make sand simulations both efficient and art directable.
Calculating Music Similarity With Mobile Device Playlists, Jacob O'Bryant, Dennis Ng
Calculating Music Similarity With Mobile Device Playlists, Jacob O'Bryant, Dennis Ng
Journal of Undergraduate Research
Music recommendation systems, such as Pandora and Spotify, help listeners to discover new music. The similarity of different songs is an important measure used in music recommendation. We have studied manually-created playlists on mobile devices to see if they can be used to accurately calculate song similarity. We collected playlists from 41 research subjects and used a co-occurrence model to calculate similarity between songs in the collection.
Utilizing The Power Of Graphical Processing For Dna Mapping: A Comparison Of Gnumap And Barracuda, Cole Lyman, Mark Clement
Utilizing The Power Of Graphical Processing For Dna Mapping: A Comparison Of Gnumap And Barracuda, Cole Lyman, Mark Clement
Journal of Undergraduate Research
Recent advances in genome sequencing technologies have resulted in a large increase in the amount of genetic data available. Large Genome Wide Association Studies (GWAS) have the potential to identify the causes of cancer, Alzheimer’s disease, heart failure and many other diseases if the large quantities of data that are becoming available can be analyzed effectively. Next-generation read mapping software, a crucial step in analyzing genetic data, is slow while trying to achieve high mapping accuracy. One approach to speeding up next-generation read mapping focuses on using Graphical Processing Units (GPUs). This project compared the effectiveness of two genome mappers, …
Right Now Is The Wrong Time: And Other Considerations When Presenting Security Warnings, Brock Johanson, Bonnie Anderson
Right Now Is The Wrong Time: And Other Considerations When Presenting Security Warnings, Brock Johanson, Bonnie Anderson
Journal of Undergraduate Research
Neuro Information Security (NeuroIS) focuses on the use of neurological measurements to improve the security of information systems. The BYU NeuroIS lab uses neurological tools and measurements to examine factors that affect security outcomes. Previous work has focused on various factors such as dual task interference (DTI), threat assessment, as well as factors such as habituation and generalization, which have become focus streams of research. The primary point of failure in most security related incidents tends to be users themselves. As such, anything that can be used to overcome neurobiological phenomenon such as those listed above can ultimately lead in …
Mobile Hands: What Your Phone Use Says About You, Parker Williams, Jeff Jenkins
Mobile Hands: What Your Phone Use Says About You, Parker Williams, Jeff Jenkins
Journal of Undergraduate Research
The percentage of individuals using mobile phones to respond to online applications, forms, and surveys is predicted to rapidly increase in the future. As of June 2, 2015, there were an estimated 2.6 billion smartphones in use in the world; by 2020 there will be 6.1 billion smartphones in use. Smartphones will account for roughly 80% of all mobile driven data traffic by 2020 (Lunden, 2015). With the proliferation of smartphones, measuring the fidelity of information gathered from and about the user becomes extremely important. Smartphones are a rich source of behavioral and biometric information, gathering data about how the …
Intelligent Stitching: Transforming Offline Stroke Extraction For Online Handwriting Recognition, Curtis Wigington, William Barrett
Intelligent Stitching: Transforming Offline Stroke Extraction For Online Handwriting Recognition, Curtis Wigington, William Barrett
Journal of Undergraduate Research
Images of historical documents are being collected and archived much faster than volunteers can possibly index them alone. Improvements in offline handwriting recognition could greatly accelerate the work of indexing by FamilySearch. Offline handwriting recognition has already been shown to be effective in assisting indexers and automating the transcription of historical documents into searchable texts. As documents are collected from all around the world, generalized techniques that are robust to damage and noise are needed. Effective stroke extraction and processing is an important tool in improving current recognition techniques.