Other Computer Sciences Commons^™

Analysis Of The Slo Bay Microbiome From A Network Perspective, Lien Viet Nguyen

Master's Theses

Microorganisms are key players in the ecosystem functioning. In this thesis, we developed a framework to preprocess raw microbiome data, build a correlation network, and analyze co-occurrence patterns between microbes. We then applied this framework to a marine microbiome dataset. The dataset used in this study comes from a year-long time-series to characterize the microbial communities in our coastal waters off the Cal Poly Pier. In analyzing this dataset, we were able to observe and confirm previously discovered patterns of interactions and generate hypotheses about new patterns. The analysis of co-occurrences between prokaryotic and eukaryotic taxa is relatively novel and …

Automated Detection Of Deep-Sea Animals, Dallas J. Hollis, Duane Edgington, Danelle Cline

STAR Program Research Presentations

The Monterey Bay Aquarium Research Institute routinely deploys remotely operated underwater vehicles equipped with high definition cameras for use in scientific studies. Utilizing a video collection of over 22,000 hours and the Video Annotation and Reference System, we have set out to automate the detection and classification of deep-sea animals. This paper serves to explore the pitfalls of automation and suggest possible solutions to automated detection in diverse ecosystems with varying field conditions. Detection was tested using a saliency-based neuromorphic selective attention algorithm. The animals that were not detected were then used to tune saliency parameters. Once objects are detected, …

Amid The Vipers: Establishing Malware's Position Within The Information Ecosystem, Shawn Louis Everett Robertson

Computer Science and Software Engineering

The paper consists of a detailed examination of malware broken down into three main sections.

1. Introduction: Malware in the World Today. Begins with a definition of terms, examination of the types of malware, research into historical pieces of malicious code, a detailed analysis of the attackers, why malware is so prevalent, and why it is so hard to defend against. This section finishes with a comparison of reasons to create and not to create malware.
2. Background: "Good" Pieces of Malware. Examination of what makes malware effective. Analysis of the existing CVSS standard and proposal of the alternative VIPERS classification system. …