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Showing papers by "David Schurig published in 2017"


Journal ArticleDOI
Rasha Abbasi1, M. Abe2, M. Abou Bakr Othman1, Tareq Abu-Zayyad1, M. Allen1, Ross Anderson1, R. Azuma3, Elliott Barcikowski1, John Belz1, Douglas Bergman1, D. Z. Besson4, Samuel Blake1, M. Byrne1, R. Cady1, M. J. Chae5, B. G. Cheon6, Jyunsei Chiba7, Michiyuki Chikawa8, W. R. Cho9, Behrouz Farhang-Boroujeny1, Takahiro Fujii10, Masaki Fukushima10, W.H. Gillman, T. Goto11, William Hanlon1, J. C. Hanson4, Y. Hayashi11, Naoaki Hayashida12, K. Hibino12, K. Honda13, Daisuke Ikeda10, N. Inoue2, Takaaki Ishii13, R. Ishimori3, Hidemi Ito, Dmitri Ivanov1, C. Jayanthmurthy1, Charlie Jui1, Kenichi Kadota14, Fumio Kakimoto3, O. Kalashev15, K. Kasahara16, H. Kawai17, S. Kawakami11, Shingo Kawana2, K. Kawata10, Eiji Kido10, Hongsu Kim6, J. H. Kim1, S. Kitamura3, Yasunori Kitamura3, S. Kunwar4, V. Kuzmin15, Y. J. Kwon9, J. Lan1, S. I. Lim5, J. P. Lundquist1, Kazuhiro Machida13, K. Martens10, Tomohiro Matsuda, T. Matsuyama11, John N. Matthews1, Mayuko Minamino11, Keijiro Mukai13, Isaac Myers1, K. Nagasawa2, Shigehiro Nagataki, Toru Nakamura18, Toshiyuki Nonaka10, A. Nozato8, Shoichi Ogio11, J. Ogura3, M. Ohnishi10, Hideyuki Ohoka10, K. Oki10, T. Okuda19, Masaomi Ono20, Akitoshi Oshima21, Shunsuke Ozawa16, Inkyu Park22, S. Prohira4, Maxim Pshirkov23, Maxim Pshirkov15, Ahmad RezazadehReyhani1, D. C. Rodriguez1, G. Rubtsov15, Dongsu Ryu24, Hiroyuki Sagawa10, Nobuyuki Sakurai11, A. L. Sampson1, L. M. Scott25, David Schurig1, Priti Shah1, Fumiya Shibata13, T.-A. Shibata10, Hideaki Shimodaira10, Bokkyun Shin6, J. D. Smith1, Pierre Sokolsky1, R. W. Springer1, Ben Stokes1, S. R. Stratton1, S. R. Stratton25, Tom Stroman1, T. Suzawa2, Helio Takai26, Mai Takamura7, M. Takeda10, Ryuji Takeishi10, Akimichi Taketa10, Masato Takita10, Yuichiro Tameda12, Hideki Tanaka11, Kiyoshi Tanaka27, Masaaki Tanaka, S. B. Thomas1, Gordon Thomson1, Peter Tinyakov15, Peter Tinyakov28, Igor Tkachev15, H. Tokuno3, Takayuki Tomida29, Sergey Troitsky15, Y. Tsunesada11, K. Tsutsumi3, Y. Uchihori30, S. Udo12, Federico R. Urban28, G. Vasiloff1, Suresh Venkatesh1, Tiffany Wong1, R. Yamane11, Hiroshi Yamaoka, K. Yamazaki11, J. Yang5, Kenta Yashiro7, Y. Yoneda11, S. Yoshida17, H. Yoshii31, R. Zollinger1, Zach Zundel1 
TL;DR: The TARA detector combines a 40kW, 54.1MHz VHF transmitter and high-gain transmitting antenna which broadcasts the radar carrier over the surface scintillation detector (SD) and within the FD field of view, towards a 250-MS/s DAQ receiver.

13 citations


Proceedings ArticleDOI
01 Jul 2017
TL;DR: This analysis includes the prediction of an impact offset parameter (and its uncertainty) in a representative player interaction scenario, and using realistic radar specifications from existing hardware.
Abstract: In this paper, we analyze the performance of a helmet-based Frequency Modulated Continuous Wave (FMCW) radar system used for impact prediction in contact sports, or other risky environment. Such a prediction tool could be used as part of a larger, helmet-based system for mitigating neurological damage caused by impacts. Mitigation strategies could leverage imminent impact information for use in an audible warning system or for dynamic preloading and control of an active helmet suspension. Our analysis includes the prediction of an impact offset parameter (and its uncertainty) in a representative player interaction scenario, and using realistic radar specifications from existing hardware.

1 citations


Proceedings ArticleDOI
01 Jul 2017
TL;DR: An analytical approach to calculate the far-field radiation pattern of conformal arrays, consisting of arbitrarily oriented antennas, focuses on spherical arrays of microstrip patch antennas, and reduces the computational time and resource requirements as compared to a full-wave conventional EM solver.
Abstract: In this paper, we present an analytical approach to calculate the far-field radiation pattern of conformal arrays, consisting of arbitrarily oriented antennas. In particular, we focus on spherical arrays of microstrip patch antennas. This approach reduces the computational time and resource requirements as compared to a full-wave conventional EM solver. It should be mentioned that this method is not limited to spherical arrays only and can be applied to any other configurations as well. Also, this analytical approach makes it possible to run optimization processes faster, and to meet various design objectives.