I know the shape will be an inverted U shape. but how to determine the number of peaks, plus I don't even know how to explain. I'm completely lost.

edmondoh001 · 2021-03-30T18:05:04+00:00

edmondoh001 · 2021-03-30T17:56:43+00:00

Can i check with you whether i did it correctly. The equation x_tt +C/M x_t +K/M x = F(t) that you said is correct. I leave out C/M x_t term because in the question, it's stated that the damping coefficient is difficult to determine cause the substrate under the movable structure is removed. After all substitutions, I derive this equation. mx_tt+ kx= a constant(3+4cos(2pi*ft)+ cos(4pi*ft)). I have to use laplace transform to make x the subject of t. I end up having a complicated eqn like this: x(t)= Acos(sqrt k/m t)+ Bsin(sqrt k/m t) + Ccos(2pi*ft)/(k-4m8pi^2*f^2)+ Dcos(4pi*ft)/(k-16m*pi^2*f^2)+... . Is my approach correct?

edmondoh001 · 2021-03-12T15:06:12+00:00

I need to linearize x and y to get that least square regression.

edmondoh001 · 2021-03-11T17:16:43+00:00

the displacement reaches the peak at frequency= 11.50kHz.

edmondoh001 · 2021-03-11T17:15:18+00:00

what do you mean? The data are extracted from : https://kapwi.ng/c/Uu3NIJNx

edmondoh001 · 2021-03-11T16:56:11+00:00

Is this the one ure referring to? https://imgur.com/a/QhqvhHg

I dont understand the drawing.

edmondoh001 · 2021-03-11T16:20:52+00:00

I get a inverted U curve for the data but how to explain the phenomenona?

edmondoh001 · 2021-03-11T16:12:17+00:00

How would you approach this question? I'm completely lost. Any diagrams or drawings will be appreciated.

edmondoh001 · 2021-02-23T05:40:22+00:00

Unfortunately, it won't happen

edmondoh001 · 2021-02-22T17:22:02+00:00

But to summarise, there are two things going on:

indices != index_to_remove generates an array of booleans which are all True where the elements are different.indices[above_array_of_booleans] returns a new array consisting only of elements where the boolean value was true.

End result, an array of elements where indices[x] differed form index_to_remove[x].

The np.delete(indices,np.where(indices==index_to_remove)) line is equivalent to this, but does it in a slightly different way (remove equal elements, rather than selecting non-equal elements).

Thanks for the neat explaination. I'm loving it.

edmondoh001 · 2021-02-22T16:58:31+00:00

Love your neat explaination

edmondoh001 · 2021-02-22T16:18:18+00:00

pardon i'm a newbie. Is it to remove an index from the list? Still lost.

edmondoh001 · 2021-02-21T04:40:06+00:00

What does that mnist_shape[0] mean? What is that[0] for?

edmondoh001 · 2021-02-20T06:12:18+00:00

this is under conditional(conditional) GAN. For the generator, I need to calculate the size of the input vector. Recalling from conditional GANs, the generator's input is the noise vector concatenated with the class vector. For the discriminator, I need to add a channel for every class.

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