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Jockey's Ridge Research + Education Center: thesis_book
Title
Jockey's Ridge Research + Education Center: thesis_book
Creator
Landon, Paul
Date
2012, 2012-05
Description
Recent litigation related to offshore oil drilling has threatened North Carolina’s beautiful shoreline and biodiversity. Furthermore, the...
Show moreRecent litigation related to offshore oil drilling has threatened North Carolina’s beautiful shoreline and biodiversity. Furthermore, the Outer Banks have seen a drop in tourism over the past few seasons. With a research and education center, regional alternatives to environmentally costly drilling can be developed, while culturally providing a destination that celebrates and elucidates the fragility and splendor of the OBX.
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Fostering personal finance engagement with a habit building app
Title
Fostering personal finance engagement with a habit building app
Creator
Hapner, Bridget
Date
2022-11-04
Description
Master's Project focused on developing a concept for a personal finance literacy app.
Towards In-Network Semantic Analysis: A Case Study involving Spam Classification
Title
Towards In-Network Semantic Analysis: A Case Study involving Spam Classification
Creator
Gueyraud, Cyprien, Sultana, Nik
Date
2023-03-06
Description
Analyzing free-form natural language expressions “in the network”—that is, on programmable switches and smart NICs—would enable packet...
Show moreAnalyzing free-form natural language expressions “in the network”—that is, on programmable switches and smart NICs—would enable packet-handling decisions that are based on the textual content of flows. This analysis would support richer, latency-critical data services that depend on language analysis—such as emergency response, misinformation classification, customer support, and query-answering applications. But packet forwarding and processing decisions usually rely on simple analyses based on table look-ups that are keyed on well-defined (and usually fixed size) header fields. P4 is the state of the art domain-specific language for programming network equipment, but, to the best of our knowledge, analyzing free-form text using P4 has not yet been investigated. Although there is an increasing variety of P4-programmable commodity network hardware available, using P4 presents considerable technical challenges for text analysis since the language lacks loops and fractional datatypes. This paper presents the first Bayesian spam classifier written in P4 and evaluates it using a standard dataset. The paper contributes techniques for the tokenization, analysis, and classification of free-form text using P4, and investigates trade-offs between classification accuracy and resource usage. It shows how classification accuracy can be tuned between 69.1% and 90.4%, and how resource usage can be reduced to 6% by trading-off accuracy. It uses the spam filtering use-case to motivate the need for more research into in network text analysis to enable future “semantic analysis” applications in programmable networks.
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My IIT
Title
My IIT
Creator
Namburi, Kartheeka
Date
2024
Description
Master's Project focused on developing a user-friendly mobile application for Illinois Institute of Technology (IIT).

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