Zobrazeno 1 - 10
of 436
pro vyhledávání: '"William S. Hodgkiss"'
Publikováno v:
IEEE Journal of Oceanic Engineering. 47:657-669
Autor:
Christian D. Escobar-Amado, Preston S. Wilson, Tracianne B. Neilsen, Michael J. Buckingham, Mohsen Badiey, William S. Hodgkiss, Jie Yang, David P. Knobles
Publikováno v:
IEEE Journal of Oceanic Engineering. 47:553-564
Publikováno v:
IEEE Journal of Oceanic Engineering. 47:647-656
The estimation of ship source levels (SSLs) in shallow-water environments can be complicated by sound interaction with the seabed. Uncertainty in seabed properties influences SSL estimates, and it is of interest to mitigate and quantify such effects.
Autor:
Kay L, Gemba, Heriberto J, Vazquez, Jit, Sarkar, Jeffrey D, Tippman, Bruce, Cornuelle, William S, Hodgkiss, W A, Kuperman
Publikováno v:
The Journal of the Acoustical Society of America. 151:861-880
Ocean sound speed and its uncertainty are estimated using travel-time tomography at ranges up to 2 km using a moving source in ∼600 m water depth. The experiment included two 32-element vertical line arrays deployed about 1 km apart and a towed sou
Autor:
Joseph M. Fialkowski, Heriberto J. Vazquez, Kay L. Gemba, William S. Hodgkiss, Matthew A. Dzieciuch, Geoffrey F. Edelmann
Publikováno v:
The Journal of the Acoustical Society of America. 150:2613-2623
This manuscript discusses the utility of maximal period linear binary pseudorandom sequences [also referred to as m-sequences or maximum length sequences (MLSs)] and linear frequency-modulated (LFM) sweeps for the purpose of measuring travel-time in
Autor:
William S. Hodgkiss
Publikováno v:
The Journal of the Acoustical Society of America. 150:A235-A238
Autor:
David P. Knobles, Christian D. Escobar-Amado, William S. Hodgkiss, David F. Van Komen, Tracianne B. Neilsen, Jhon A. Castro-Correa, Mohsen Badiey
Publikováno v:
The Journal of the Acoustical Society of America. 150:1434-1447
Merchant ship-radiated noise, recorded on a single receiver in the 360-1100 Hz frequency band over 20 min, is employed for seabed classification using an ensemble of deep learning (DL) algorithms. Five different convolutional neural network architect
Publikováno v:
The Journal of the Acoustical Society of America. 149:3294-3300
An examination of the received spectrogram levels of about twenty merchant ship recordings on two vertical line arrays deployed on the New England continental shelf during the Seabed Characterization Experiment 2017 has identified an acoustic feature
Autor:
Daniel B. Mortenson, David F. Van Komen, Mason C. Acree, David P. Knobles, William S. Hodgkiss, Mohsen Badiey, Tracianne B. Neilsen
Publikováno v:
The Journal of the Acoustical Society of America. 149:1198-1210
Broadband spectrograms from surface ships are employed in convolutional neural networks (CNNs) to predict the seabed type, ship speed, and closest point of approach (CPA) range. Three CNN architectures of differing size and depth are trained on diffe
Autor:
Mason C. Acree, David P. Knobles, Jhon A. Castro-Correa, William S. Hodgkiss, D F Van Komen, Christian D. Escobar-Amado, Tracianne B. Neilsen, Mohsen Badiey
Publikováno v:
The Journal of the Acoustical Society of America. 149:692-705
While source localization and seabed classification are often approached separately, the convolutional neural networks (CNNs) in this paper simultaneously predict seabed type, source depth and speed, and the closest point of approach. Different CNN a