This[0] youtube channel is quite good at explaining how subs work [0] https://www.youtube.com/c/JiveTurkeyCrew
His other articles for The Drive [1] are all worth reading.
0: https://www.thedrive.com/the-war-zone/24638/retired-submarin...
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This[0] youtube channel is quite good at explaining how subs work [0] https://www.youtube.com/c/JiveTurkeyCrew
His other articles for The Drive [1] are all worth reading.
0: https://www.thedrive.com/the-war-zone/24638/retired-submarin...
I'm not normally one to promote Hollywood but the film Greyhound (2020) with Tom Hanks does an _excellent_ portrayal of this technology (albeit slightly more primitive) in fighting German U-Boats in WW2. Well worth a watch if this interests you.
That movie and Master and Commander are two movies that helped a digital nerd like me understand how an incredibly complex system can be managed by lots and lots of humans playing very specific roles.
> The second step in classification requires analysis. It takes 30 to 45 seconds to get a look at a new detection and discover what kind of engine she’s running, what kind of hydraulic pumps are online, and what screw blade configuration she is using. One can imagine ML making this job somewhat obsolete in the not-too-distant future.
I've heard the sonar ping from a submarine is so powerful that it will kill you if your a diver near the sonar dome.
235db! Apparently also kills wales and dolphins. https://physics.stackexchange.com/questions/93222/could-subm...
Earlier quoted context omitted.
I was just going to say exactly this. It’s amazing to see them doing this with such incredibly basic technology. - Having to draw their ship and the submarine and constantly update its movement. - sonar guy is just looking at a screen that blips every now and then. - all communication by morse code - must be horrendously slow in the heat of battle - even communication within the ship is passed between multiple people…
They wargamed live during North Atlantic convoy attacks on the floor of a building in Liverpool. Players received instructions through letterboxes around the room perimeter and each could only see a fraction of the the battle. They could not see the u-boats at all as those were same color as filters they looked through. Information was radioed in from convoy escorts and scenarios were played out. Battles could last a…
> The second step in classification requires analysis. It takes 30 to 45 seconds to get a look at a new detection and discover what kind of engine she’s running, what kind of hydraulic pumps are online, and what screw blade configuration she is using. One can imagine ML making this job somewhat obsolete in the not-too-distant future.
Is it really something for ML? Shazam isn't ML, and it's the same basic thing. Take the current sound and then compare it to a huge database of known sounds. Report the result.
I'm not normally one to promote Hollywood but the film Greyhound (2020) with Tom Hanks does an _excellent_ portrayal of this technology (albeit slightly more primitive) in fighting German U-Boats in WW2. Well worth a watch if this interests you.
> The second step in classification requires analysis. It takes 30 to 45 seconds to get a look at a new detection and discover what kind of engine she’s running, what kind of hydraulic pumps are online, and what screw blade configuration she is using. One can imagine ML making this job somewhat obsolete in the not-too-distant future.
> The second step in classification requires analysis. It takes 30 to 45 seconds to get a look at a new detection and discover what kind of engine she’s running, what kind of hydraulic pumps are online, and what screw blade configuration she is using. One can imagine ML making this job somewhat obsolete in the not-too-distant future.
If you ever watched the hunt for red october, they already had computers doing this (doubt it was ML'd tho).
> The second step in classification requires analysis. It takes 30 to 45 seconds to get a look at a new detection and discover what kind of engine she’s running, what kind of hydraulic pumps are online, and what screw blade configuration she is using. One can imagine ML making this job somewhat obsolete in the not-too-distant future.
If you ever watched the hunt for red october, they already had computers doing this (doubt it was ML'd tho).
All told, a good solid read, and accurate in a bunch of not-quite critical details, but don't lean too hard on the edges of the story.
Same with Red Storm Rising. Very well told, close to a solid "what if", but lots of little touches to make it entertaining as well.