4,092 research outputs found
Trusted CI Experiences in Cybersecurity and Service to Open Science
This article describes experiences and lessons learned from the Trusted CI
project, funded by the US National Science Foundation to serve the community as
the NSF Cybersecurity Center of Excellence. Trusted CI is an effort to address
cybersecurity for the open science community through a single organization that
provides leadership, training, consulting, and knowledge to that community. The
article describes the experiences and lessons learned of Trusted CI regarding
both cybersecurity for open science and managing the process of providing
centralized services to a broad and diverse community.Comment: 8 pages, PEARC '19: Practice and Experience in Advanced Research
Computing, July 28-August 1, 2019, Chicago, IL, US
Architecting the cyberinfrastructure for National Science Foundation Ocean Observatories Initiative (OOI)
The NSF Ocean Observatories Initiative (OOI) is a networked ocean
research observatory with arrays of instrumented water column moorings and
buoys, profilers, gliders and autonomous underwater vehicles (AUV) within different
open ocean and coastal regions. OOI infrastructure also includes a cabled
array of instrumented seafloor platforms and water column moorings on the
Juan de Fuca tectonic plate. This networked system of instruments, moored and
mobile platforms, and arrays will provide ocean scientists, educators and the
public the means to collect sustained, time-series data sets that will enable examination
of complex, interlinked physical, chemical, biological, and geological
processes operating throughout the coastal regions and open ocean. The seven
arrays built and deployed during construction support the core set of OOI multidisciplinary
scientific instruments that are integrated into a networked software
system that will process, distribute, and store all acquired data. The OOI
has been built with an expectation of operation for 25 years.Peer Reviewe
A Review of the Open Educational Resources (OER) Movement: Achievements, Challenges, and New Opportunities
Examines the state of the foundation's efforts to improve educational opportunities worldwide through universal access to and use of high-quality academic content
A Framework for Globally Optimizing Mixed-Integer Signomial Programs
Mixed-integer signomial optimization problems have broad applicability in engineering. Extending the Global Mixed-Integer Quadratic Optimizer, GloMIQO (Misener, Floudas in J. Glob. Optim., 2012. doi:10.1007/s10898-012-9874-7), this manuscript documents a computational framework for deterministically addressing mixed-integer signomial optimization problems to ε-global optimality. This framework generalizes the GloMIQO strategies of (1) reformulating user input, (2) detecting special mathematical structure, and (3) globally optimizing the mixed-integer nonconvex program. Novel contributions of this paper include: flattening an expression tree towards term-based data structures; introducing additional nonconvex terms to interlink expressions; integrating a dynamic implementation of the reformulation-linearization technique into the branch-and-cut tree; designing term-based underestimators that specialize relaxation strategies according to variable bounds in the current tree node. Computational results are presented along with comparison of the computational framework to several state-of-the-art solvers. © 2013 Springer Science+Business Media New York
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