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24 Results

July 21, 2017

Proton Testing Results for Kaman KD-5100 Differential Inductive Position Measuring Systems

Journal, IEEE Radiation Effects Data Workshop (REDW)

We report proton testing of a position measuring system, the Kaman KD-5100, with applications including mirror positioning for laser beam control. We measure a device response likely due to total ionizing dose and/or displacement damage.

By: Bart McGuyer, Randall Milanowski, Slaven Moro, Norman Hall, Bert Vermeire
July 21, 2017

Robocodes: Towards Generative Street Addresses from Satellite Imagery

CVPR 2017

This paper describes our automatic generative algorithm to create street addresses (Robocodes) from satellite images by learning and labeling regions, roads, and blocks. 75% of the world lacks street addresses.

By: Ilke Demir, Forest Hughes, Aman Raj, Kleovoulos Tsourides, Divyaa Ravichandran, Suryanarayana Murthy, Kaunil Dhruv, Sanyam Garg, Jatin Malhotra, Barrett Doo, Grace Kermani, Ramesh Raskar
July 17, 2017

Single Event Effect Assessment of a 1-Mbit Commercial MRAM

2017 Nuclear and Space Radiation Effects Conference (NSREC) Radiation Effects Data Workshop

Single event effect susceptibility of a 1-Mbit commercial MRAM was experimentally evaluated. The memory exhibited SEFIs when operated in a dynamic mode with an LET threshold of 2.29 MeV.cm2/mg and a saturated cross section of 2.2×10-4 cm2/device. The memory was not sensitive to SEL, SEU or MBUs.

By: Philippe C. Adell, Slaven Moro, Lionel Gouyet, Christian Chatry, Bert Vermeire
July 17, 2017

Single Event Effect and Total Ionizing Dose Assessment of Commercial Optical Coherent DSP ASIC

NSREC 2017

Experimental assessment of commercial 100/200 Gbps optical coherent DSP modem ASIC completed with 64 MeV and 480 MeV proton radiation test campaigns. Single event effect cross sections calculated and no performance degradation observed for proton fluence levels up to 1.27×10^12 p/cm^2 with equivalent total ionizing dose exposure to 170 krad(Si).

By: Raichelle Aniceto, Slaven Moro, Randall Milanowski, Christopher Isabelle, Norman Hall, Bert Vermeire, Kerri Cahoy
June 15, 2017

Formulation of Aerial Platform Environmental Requirements from Global Radiosonde Data

Journal of Unmanned Vehicle Systems

This paper demonstrates how raw observational climate data can be processed to characterize global climate histories and statistics for the formulation of aerial platform environmental requirements.

By: Jacob Stelman, Zhang Liu
March 2, 2017

On User and Traffic Distribution for Extreme Rural Scenario

Radio Access Network, November 2016

In this contribution, we leverage new research results and data [5] – population density data – that provide a high-resolution view into global population density distributions.

By: Ali Yazdan Panah
February 1, 2017

Optimal User Loading in Massive MIMO Systems with Regularized Zero Forcing Precoding

IEEE Wireless Communications Letters

We consider a downlink massive multiple-input multiple output system employing regularized zero-forcing precoding. We derive the asymptotic signal-to-leakage-plus-noise ratio (SLNR) as both the number of antennas and the number of users go to infinity at a fixed ratio.

By: Sungwoo Park, Jeonghun Park, Ali Yazdan Panah, Robert W. Heath Jr
February 1, 2017

Optimal User Loading in Massive MIMO Systems With Regularized Zero Forcing Precoding

IEEE Wireless Communications Letters

We consider a downlink massive multiple-input multiple output system employing regularized zero-forcing precoding. We derive the asymptotic signal-to-leakage-plus-noise ratio (SLNR) as both the number of antennas and the number of users go to infinity at a fixed ratio.

By: Sungwoo Park, Jeonghun Park, Ali Yazdan Panah, Robert W. Heath Jr
January 28, 2017

A Prototype Coarse Pointing Assembly for Laser Communication

SPIE Photonics West 2017

In this paper, we describe a coarse pointing mechanism that has been designed with an emphasis on simplicity, making use of conventional materials and commercial off-the-shelf components wherever possible.

By: Eric D. Miller, Michael DeSpenza, Ilya Gavrilyuk, Graham Nelson, Brent Erickson, Britney Edwards, Ethan Davis, Tony Truscott
December 6, 2016

Population Density Estimation with Deconvolutional Neural Networks

Workshop on Large Scale Computer Vision at NIPS 2016

This work is part of the Internet.org initiative to provide connectivity all over the world. Population density data is helpful in driving a variety of technology decisions, but currently, a microscopic dataset of population doesn’t exist. Current state of the art population density datasets are at ~1000km2 resolution. To create a better dataset, we have obtained 1PB of satellite imagery at 50cm/pixel resolution to feed through our building classification pipeline.

By: Amy Zhang, Xianming Liu, Tobias Tiecke, Andreas Gros