41,029 research outputs found
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
We apply numerical methods in combination with finite-difference-time-domain
(FDTD) simulations to optimize transmission properties of plasmonic mirror
color filters using a multi-objective figure of merit over a five-dimensional
parameter space by utilizing novel multi-fidelity Gaussian processes approach.
We compare these results with conventional derivative-free global search
algorithms, such as (single-fidelity) Gaussian Processes optimization scheme,
and Particle Swarm Optimization---a commonly used method in nanophotonics
community, which is implemented in Lumerical commercial photonics software. We
demonstrate the performance of various numerical optimization approaches on
several pre-collected real-world datasets and show that by properly trading off
expensive information sources with cheap simulations, one can more effectively
optimize the transmission properties with a fixed budget.Comment: NIPS 2018 Workshop on Machine Learning for Molecules and Materials.
arXiv admin note: substantial text overlap with arXiv:1811.0075
BigExcel: A Web-Based Framework for Exploring Big Data in Social Sciences
This paper argues that there are three fundamental challenges that need to be
overcome in order to foster the adoption of big data technologies in
non-computer science related disciplines: addressing issues of accessibility of
such technologies for non-computer scientists, supporting the ad hoc
exploration of large data sets with minimal effort and the availability of
lightweight web-based frameworks for quick and easy analytics. In this paper,
we address the above three challenges through the development of 'BigExcel', a
three tier web-based framework for exploring big data to facilitate the
management of user interactions with large data sets, the construction of
queries to explore the data set and the management of the infrastructure. The
feasibility of BigExcel is demonstrated through two Yahoo Sandbox datasets. The
first dataset is the Yahoo Buzz Score data set we use for quantitatively
predicting trending technologies and the second is the Yahoo n-gram corpus we
use for qualitatively inferring the coverage of important events. A
demonstration of the BigExcel framework and source code is available at
http://bigdata.cs.st-andrews.ac.uk/projects/bigexcel-exploring-big-data-for-social-sciences/.Comment: 8 page
How people find videos
At present very little is known about how people locate and view videos 'in the wild'. This study draws a rich picture of everyday video seeking strategies and video information needs, based on an ethnographic study of New Zealand university students. These insights into the participants' activities and motivations suggest potentially useful facilities for a video digital library
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