Výsledky vyhledávání - "Peterson, Peter A."

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Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities

Autor: Godoy, William F, Savici, Andrei T, Hahn, Steven E, Peterson, Peter F

We present algorithmic improvements to the loading operations of certain reduced data ensembles produced from neutron scattering experiments at Oak Ridge National Laboratory (ORNL) facilities. Ensembles from multiple measurements are required to cove

Externí odkaz: http://arxiv.org/abs/2112.00228

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Efficient Data Management in Neutron Scattering Data Reduction Workflows at ORNL

Autor: Godoy, William F, Peterson, Peter F, Hahn, Steven E, Billings, Jay J

Oak Ridge National Laboratory (ORNL) experimental neutron science facilities produce 1.2\,TB a day of raw event-based data that is stored using the standard metadata-rich NeXus schema built on top of the HDF5 file format. Performance of several data

Externí odkaz: http://arxiv.org/abs/2101.02591

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Experiences and Lessons Learned Creating and Validating Concept Inventories for Cybersecurity

Autor: Sherman, Alan T., Herman, Geoffrey L., Oliva, Linda, Peterson, Peter A. H., Golaszewski, Enis, Poulsen, Seth, Scheponik, Travis, Gorti, Akshita

We reflect on our ongoing journey in the educational Cybersecurity Assessment Tools (CATS) Project to create two concept inventories for cybersecurity. We identify key steps in this journey and important questions we faced. We explain the decisions w

Externí odkaz: http://arxiv.org/abs/2004.05248

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Debreach: Mitigating Compression Side Channels via Static Analysis and Transformation

Autor: Paulsen, Brandon, Sung, Chungha, Peterson, Peter A. H., Wang, Chao

Compression is an emerging source of exploitable side-channel leakage that threatens data security, particularly in web applications where compression is indispensable for performance reasons. Current approaches to mitigating compression side channel

Externí odkaz: http://arxiv.org/abs/1909.05977

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Investigating Crowdsourcing to Generate Distractors for Multiple-Choice Assessments

Autor: Scheponik, Travis, Golaszewski, Enis, Herman, Geoffrey, Offenberger, Spencer, Oliva, Linda, Peterson, Peter A. H., Sherman, Alan T.

We present and analyze results from a pilot study that explores how crowdsourcing can be used in the process of generating distractors (incorrect answer choices) in multiple-choice concept inventories (conceptual tests of understanding). To our knowl

Externí odkaz: http://arxiv.org/abs/1909.04230

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The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories

Autor: Sherman, Alan T., Oliva, Linda, Golaszewski, Enis, Phatak, Dhananjay, Scheponik, Travis, Herman, Geoffrey L., Choi, Dong San, Offenberger, Spencer E., Peterson, Peter, Dykstra, Josiah, Bard, Gregory V., Chattopadhyay, Ankur, Sharevski, Filipo, Verma, Rakesh, Vrecenar, Ryan

For two days in February 2018, 17 cybersecurity educators and professionals from government and industry met in a "hackathon" to refine existing draft multiple-choice test items, and to create new ones, for a Cybersecurity Concept Inventory (CCI) and

Externí odkaz: http://arxiv.org/abs/1901.09286

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