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Conferences

Aperture Arrays for Subnanometer Calibration of Optical Microscopes

Author(s)
Craig Copeland, Craig McGray, Jon Geist, James Alexander Liddle, Robert Ilic, Samuel Stavis
We fabricate and test subresolution aperture arrays as calibration devices for optical localization microscopy. An array pitch with a relative uncertainty of

A Network Measurement Framework for Named Data Networks

Author(s)
Davide Pesavento, Omar Ilias El Mimouni, Eric E. Newberry, Lotfi Benmohamed, Abdella Battou
In this poster, we propose a network measurement framework for NDN. We define the goals of network measurement and discuss how these goals can be achieved by

NDN-Trace: A Path Tracing Utility for Named Data Networking

Author(s)
Siham Khoussi, Davide Pesavento, Lotfi Benmohamed, Abdella Battou
In this paper we propose NDN-Trace, a path tracing utility to determine the characteristics of the available paths to reach a given name prefix in NDN-based

Local measurements of photocurrent and band gap in CdTe solar cells

Author(s)
Yohan Yoon, Jungseok Chae, Aaron M. Katzenmeyer, Heayoung Yoon, Joshua D. Schumacher, Sang M. An, Andrea Centrone, Nikolai B. Zhitenev
Polycrystalline thin film technology has shown great promise for low cost, high efficiency photovoltaics. To further increase the power efficiency, a firm

Methods for Channel Sounder Measurement Verification

Author(s)
Kate Remley, Camillo Gentile, Alenka Zajic, Jeanne Quimby
We describe an activity of the 5G mmWave Channel Sounder Alliance to verify the hardware performance of channel sounders operating at mmWave frequencies. Such

Business Process Context for Message Standards

Author(s)
Nenad Ivezic, Miroslav Ljubicic, Marija Jankovic, Boonserm Kulvatunyou, Scott Nieman, Garret Minakawa
Despite unrelenting increase in complexity of message standards for enterprise systems integrations, there are no effective means to address this complexity

Production System Identification with Genetic Programming

Author(s)
Peter O. Denno, Charles Dickerson, Jenny Harding
Modern system identification methodologies use artificial neural nets, integer linear programming, genetic algorithms, and swarm intelligence to discover system
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