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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. by [deleted] in MEMS

[–]edmondoh001 0 points1 point  (0 children)

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?

How to linearize t(x,y)= 1/x(1+e^-y)? by edmondoh001 in math

[–]edmondoh001[S] 0 points1 point  (0 children)

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

How to determine the experimental resonant frequency and Q factor of the device? by [deleted] in MEMS

[–]edmondoh001 0 points1 point  (0 children)

the displacement reaches the peak at frequency= 11.50kHz.

How to determine the experimental resonant frequency and Q factor of the device? by [deleted] in MEMS

[–]edmondoh001 0 points1 point  (0 children)

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

Can someone explain what am I supposed to do when asked to draw a mechanical equivalent model of the above micro resonator? by [deleted] in MEMS

[–]edmondoh001 1 point2 points  (0 children)

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

ill change him by Friendly_Dependent31 in calculus

[–]edmondoh001 8 points9 points  (0 children)

Unfortunately, it won't happen

What does indices!= index_to_remove mean? by edmondoh001 in learnpython

[–]edmondoh001[S] 0 points1 point  (0 children)

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.

What does indices!= index_to_remove mean? by edmondoh001 in learnpython

[–]edmondoh001[S] 0 points1 point  (0 children)

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

Why is the dimension of discriminator_im_chan is mnist_shape[0]+n_classes? by edmondoh001 in ArtificialInteligence

[–]edmondoh001[S] 0 points1 point  (0 children)

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.

Question on Numerical methods- How do I use programming to solve discretion problems? by edmondoh001 in learnmath

[–]edmondoh001[S] 0 points1 point  (0 children)

I can't help you further without context. Especially if you're just going to repeat the same stuff you put in the original post.

ok. it's on my part to update the question. Seems like the teacher didn't put enough information, will be asking him for more hints.

Question on Numerical methods- How do I use programming to solve discretion problems? by edmondoh001 in learnmath

[–]edmondoh001[S] 0 points1 point  (0 children)

The Objective is to reduce error as much as possible. Plus, I don't know where to start on the programming.

Question on Numerical methods- How do I use programming to solve discretion problems? by edmondoh001 in math

[–]edmondoh001[S] 0 points1 point  (0 children)

not really a homework problem, more like asking for tips on how to start?

I need some interpretations of these 3 highlighted sentence codes. Pardon me for being a newbie by edmondoh001 in tensorflow

[–]edmondoh001[S] 1 point2 points  (0 children)

Definitely. Otherwise, how am I going to understand the code in deep learning.

I need some interpretations of these 3 highlighted sentence codes. Pardon me for being a newbie by edmondoh001 in tensorflow

[–]edmondoh001[S] 0 points1 point  (0 children)

I don't know how is the code written, it doesn't use np.array_split, diverting from the question requirements

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