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Tag: ILIR/IAR

Navy Innovators Reveal Revolutionary Research to Counter Emerging Threats
October 12, 2018 — DAHLGREN, Va. – Navy inventors are confident that their latest research and innovations in quantum physics, artificial intelligence, and cyber security – to name a few – will ultimately impact U.S. military and homeland security efforts. The list of innovations and their potential military applications were introduced and explained by the... MORE

IMAGE: KING GEORGE, Va. (Sept. 25, 2018) – Associate investigators Teeya Roche and Megan Kozub are pictured at the Naval Surface Warfare Center Dahlgren Division (NSWCDD) In-house Laboratory Independent Research (ILIR) and Independent Applied Research (IAR) End of Year Review. They identified challenges, objectives, accomplishments and future benefits related to their IAR project -- “Data Visualization Support for Creation of a Numerical Table: Effects on Training and Performance” -- to Navy technical managers, engineers, and scientists as well as representatives from academia, industry, transition partners, and other key stakeholders. The innovative tool can reduce Sailor workload by minimizing the required sectors that a warfighter must monitor for each ship based on the global coverage area of the Fleet doctrine.

NSWC Dahlgren Division Researchers Present Findings
October 5, 2017 — The End of Year In-House Laboratory Independent Research and Independent Applied Research review was held at the University of Mary Washington Dahlgren campus, Sept. 29. Naval Surface Warfare Center Dahlgren Division (NSWCDD) scientists, engineers and private sector subject matter experts presented findings of their work to merge technological... MORE

IMAGE: DAHLGREN, Va. (Sept. 29) - NSWC Dahlgren Division lead scientist Avory Bryant and mechanical engineer Brian Johnson shared the "Density-based Data Stream Clustering" capability at the In-House Laboratory Independent Research and Independent Applied Research review. Clustering of streaming data is a key knowledge discovery and data mining technique for the analysis of unlabeled big data.

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