Delphi exchange - research references

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Background Structure Functions for Underwater Acoustics to forecast Phase Statistics and Reduce Energy Loss,

from Michael Kobold: A dissertation accepted by ProQuest, based on this unsigned front matter, will be available in May, with Presentations like this, separate videos of wavefront distortion for Caribbean and Gulf and St. Andrew Bay over tidal variations. These are essentially from and for the work for the OCEANS 22 paper. Presented to FAU Ocean and Mechanical Engineering Department chair Pierre-Philippe Beaujean, PhD, Professor.
The AIP Advances page for Gouy phase in the sea is hopefully adequate to help others do similar analysis. Here is an errata for the paper as of 10oct23. Let me know of any issues with these versions.


The sheet named marketCap of the spectral efficiency calculations from wikipedia pages of the same name (spectral efficiency) show that a tabulation of the market capitalization provides the basis for an estimate that laser-comms has 2200 times the funding that acoustic communications has. One might assume market cap differences are related to research funding differences.

For 10 June 2023 the current investigation including delivered, accepted, and submitted papers pending approval. Also, a study from 2023 to better explain the evolution of Doppler and delay spreads, graphically. USA (USPTO) Patents related to this dissertation are US11431421 (30au22) and US11653125 (16my23).


Michael C. Kobold and Michael C. McKinley, "Remote vibrometry recognition of nonlinear eigen-states for object coverage of randomly large size," Journal of Vibroengineering, Vol. 22, Issue 3, 2020.

The paper is best accessed at this web site.


One of the strangest issues involving problems using underwater acoustic modems are the internal waves that are blamed for poor acoustic communications or a complete lack of a-comms. They are more numerous than we might expect, even these exotic nonlinear internal waves:

3500 nonlinear internal waves over 639 days.

Jackson, C.R., J.C.B. da Silva, and G. Jeans. 2012. The generation of nonlinear internal waves. Oceanography 25(2):108–123, http :// dx .doi .org/10.5670/oceanog.2012.46. This figure had the caption: “The location of nonlinear internal waves observed in 250 m resolution MODIS (Moderate-Resolution Imaging Spectroradiometer) satellite Sun-glint imagery acquired from August 2002 through May 2004. More than 3,500 nonlinear internal wave occurrences were identified by the survey. Adapted from Jackson (2007)” Permission to use the figure came from The Oceanography Society (info @ tos.org) via Jennifer Ramuui (jenny at toc dot org) by email on 18 January 2019.


Why do schedules slip (and software bugs, or children take so long)? In many cases, it is just statistics. If several tasks are necessary to accomplish one outcome, and to make it easy to calculate, getting the correct answer for all the tasks is equally probable, then the probability of getting a success is just the product of the knowledge probabilities. A plot of the task probability raised to the power of the number of tasks necessary, looks like this. Try to match the probability percentages to your own case, or better yet, make an easier success probability calculator and let us see it too (matadorsalsa at runbox punto com). ( Excel version. ) For example, you might make a tool that allows the knowledge percentages (the chance of getting a lone task correct) to all be different. For the old structured software testing version, instead of if A then B else C, you might have those horrible old Fortran if (A) less than is B, equal to is C, and greater than is D. Then each output, B, C, or D is 33.3% equally probable - from an outsider's view, since they to not have the Bayes probabilities for B, C, and D.

Strive to simulate reality, accurately.

Check out the Van Cittert-Zernike Theorem .
Other USA (USPTO) Patents include US 9197822 (24n15) and US 9208386 (08d15).