9,627 research outputs found
History Matching Using Principal Component Analysis
Imperial Users onl
Specifications and Development of Interoperability Solution dedicated to Multiple Expertise Collaboration in a Design Framework
This paper describes the specifications of an interoperability platform based on the PPO (Product Process Organization) model developed by the French community IPPOP in the context of collaborative and innovative design. By using PPO model as a reference, this work aims to connect together heterogonous tools used by experts easing data and information exchanges. After underlining the growing needs of collaborative design process, this paper focuses on interoperability concept by describing current solutions and their limits. Then a solution based on the flexibility of the PPO model adapted to the philosophy of interoperability is proposed. To illustrate these concepts, several examples are more particularly described (robustness analysis, CAD and Product Lifecycle Management systems connections)
IMPACT: The Journal of the Center for Interdisciplinary Teaching and Learning. Volume 5, Issue 1, Winter 2016
Impact: The Journal of the Center for Interdisciplinary Teaching & Learning is a peer-reviewed, biannual online journal that publishes scholarly and creative non-fiction essays about the theory, practice and assessment of interdisciplinary education. Impact is produced by the Center for Interdisciplinary Teaching & Learning at the College of General Studies, Boston University (www.bu.edu/cgs/citl)
Applying Deep Learning to Fast Radio Burst Classification
Upcoming Fast Radio Burst (FRB) surveys will search 10\, beams on
sky with very high duty cycle, generating large numbers of single-pulse
candidates. The abundance of false positives presents an intractable problem if
candidates are to be inspected by eye, making it a good application for
artificial intelligence (AI). We apply deep learning to single pulse
classification and develop a hierarchical framework for ranking events by their
probability of being true astrophysical transients. We construct a tree-like
deep neural network (DNN) that takes multiple or individual data products as
input (e.g. dynamic spectra and multi-beam detection information) and trains on
them simultaneously. We have built training and test sets using false-positive
triggers from real telescopes, along with simulated FRBs, and single pulses
from pulsars. Training of the DNN was independently done for two radio
telescopes: the CHIME Pathfinder, and Apertif on Westerbork. High accuracy and
recall can be achieved with a labelled training set of a few thousand events.
Even with high triggering rates, classification can be done very quickly on
Graphical Processing Units (GPUs). That speed is essential for selective
voltage dumps or issuing real-time VOEvents. Next, we investigate whether
dedispersion back-ends could be completely replaced by a real-time DNN
classifier. It is shown that a single forward propagation through a moderate
convolutional network could be faster than brute-force dedispersion; but the
low signal-to-noise per pixel makes such a classifier sub-optimal for this
problem. Real-time automated classification may prove useful for bright,
unexpected signals, both now and in the era of radio astronomy when data
volumes and the searchable parameter spaces further outgrow our ability to
manually inspect the data, such as for SKA and ngVLA
Minimum wages and wage structure in Mexico
Instead of merely setting a lower bound on the wages of formal sector workers, minimum wages serve as a norm for wage setting more generally throughout the Mexican economy. Our results suggest that wages are commonly set at multiples of the minimum wage, and that changes in minimum wages influence wage changes across the occupational distribution. Moreover, our findings suggest that these normative features of minimum wages have their greatest impact on the mid-to-lower tail of the wage distribution, including the informal sector of the economy. Thus, the results lend support to the view that declining real minimum wages and stabilization programs that strengthened the link between wage levels, wage changes, and minimum wages, might account for a portion of the growing wage inequality in Mexico over the period of the late 1980s and early 1990s.wage distributions; minimum wages; wage inequality; Mexico
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