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Results for “SCALING”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Efficient simulations of large-scale structure in modified gravity cosmologies with comoving Lagrangian acceleration
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Scale-invariant hidden local symmetry, topology change, and dense baryonic matter. II.
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Scale-invariance and scale-breaking in parity-invariant three-dimensional QCD
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New weak-scale physics from SO(10) with high-scale supersymmetry
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GeV-scale messengers of Planck-scale dark matter
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Talk to Me: A Case Study on Coordinating Expertise in Large-Scale Scientific Software Projects.
Abstract not provided.
Triangle Counting for Scale-Free Graphs at Scale in Distributed Memory
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Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments using Vision-Based Sensors
Effective control of traffic signals plays a critical role in ensuring smooth vehicle flow in urban areas. Expertly engineered traffic signal controllers can considerably minimize travel delays and enhance sustainability. In this paper, the team proposes the Model Predictive Control (MPC) traffic signal control strategy using real-time traffic flow data from a vision-based camera as feedback information. Also, a realistic signal timing plan that considers National Electrical Manufacturers Association (NEMA) constraints has been developed to be applied to real-world scenarios. The primary aim is to reduce the number of vehicles across all links in the controlled area, thereby optimizing traffic flow and reducing energy consumption. To validate the proposed method, several real-life experiments were conducted at 24 intersections in Chattanooga, Tennessee, by collaborating with traffic field engineers. These experiments demonstrated significant performance improvements in comparison to the existing method.
A Vision for Managing Extreme-Scale Data Hoards
Scientific data collections grow ever larger, both in terms of the size of individual data items and of the number and complexity of items. To use and manage them, it is important to directly address issues of robust and actionable provenance. We identify three key drivers as our focus: managing the size and complexity of metadata, lack of a priori information to match usage intents between publishers and consumers of data, and support for campaigns over collections of data driven by multi-disciplinary, collaborating teams. We introduce the Hoarde abstraction as an attempt to formalize a way of looking at collections of data to make them more tractable for later use. Hoarde leverages middleware and systems infrastructures for scientific and technical data management. Through the lens of a select group of challenging data usage scenarios, we discuss some of the aspects of implementation, usage, and forward portability of this new view on data management.
NEAR-ZERO POWER MECHANICAL SHOCK-RESISTANT INERTIAL WAKEUP SYSTEM WITH SCALED INPUTS.
Abstract not provided.
Wafer-scale TaOx device variability and implications for neuromorphic computing applications.
Abstract not provided.