Time-Shift | Chrome extension 把时间从时间戳转成年月日 | Browser Plugin library

The following code:

I have a video in fragmented form which is an output of an Azure Media Services Live Event (Smooth Streaming).

I'm trying to concatenate the segments to get a single MP4 file, however I've run into a A/V sync problem - no matter what I do (time-shifting/speeding up/slowing down/using FFmpeg filters), the audio delay is always floating. To get the output MP4 file, I tried concatenating the segments for video and audio streams (both at OS file level and with FFmpeg) and then muxing with FFmpeg.

I've tried everything I found on the web and I'm always ending up with exactly the same result. What's important, when I play the source from the manifest file, it's all good. That made me skim through the manifest once again, and I realized there's CodecPrivateData value which I'm not using anywhere in the process. What is it? Could it somehow help solving my problem?

To simulate the dead-time in the FOPDT model using the GEKKO package, I used the Gekko 'cspline' function to make the time-shifting operation smoother.
It works well when the input changes after the length of dead-time. (eg. The input changes at t=15 when dead-time=10)

However, when the input changes before the length of dead-time (eg. The input changes at t=5 when dead-time=10), it looks like the cspline function overly extrapolates the input value. Please give some suggestions to avoid this problem.

I am currently working on a speech classification problem. I have 1000 audio files in each class and have 7 such classes. I need to augment data to achieve better accuracy. I am using librosa library for data augmentation. For every audio file, I am using the below code.

This example is taken from a tutorial related to convolution integral.

I would like to export this example as animation in mp4 format. So far, the code looks like this :

I am using PSCM6. I have 2 usecase problems (same solution) :

• 1.) after updating server+client from V5 to V6 all my repositories are "dirty" - i.e. all files are listed in "pending changes". When I double-click a file PSCM shows "files are identical".

• 2.) I have a Linux server which does not send the file time via FTP for some reason. I have a day-date but no time with minutes and seconds. When I transfer files from that server, my FTP client discards the date and sets the file date to the current time. Thus, all files are listed in "pending changes" again. On other servers I have to set a time-shift due to different time-zones. If I forget that, I have the same problem - the files are marked as changed.

My question:

Is it possible to run a deep scan for changes on all files which have been detected as being changed. Just comparing the date and giving no option for further change detection feels a bit clumsy to me - even if it is theoretically correct - because 2 files with the same content but different time stamps might be correctly treated as different files. But from a programmer point of view they are identical.

These are my "pending changes options" settings:

As an introduction to RNN/LSTM (stateless) I'm training a model with sequences of 200 days of previous data (X), including things like daily price change, daily volume change, etc and for the labels/Y I have the % price change from current price to that in 4 months. Basically I want to estimate the market direction, not to be 100% accurate. But I'm getting some odd results...

When I then test my model with the training data, I notice the output from the model is a perfect fit when compared to the actual data, it just lags by exactly 4 months:

When I shift the data by 4 months, you can see it's a perfect fit.

I can obviously understand why the training data would be a very close fit as it has seen it all during training - but why the 4 months lag?

It does the same thing with the validation data (note the area I highlighted with the red box for future reference):

Time-shifted:

It's not as close-fitting as the training data, as you'd expect, but still too close for my liking - I just don't think it can be this accurate (see the little blip in the red rectangle as an example). I think the model is acting as a naive predictor, I just can't work out how/why it's possibly doing it.

To generate this output from the validation data, I input a sequence of 200 timesteps, but there's nothing in the data sequence that says what the %price change will be in 4 months - it's entirely disconnected, so how is it so accurate? The 4-month lag is obviously another indicator that something's not right here, I don't know how to explain that, but I suspect the two are linked.

I'm writing a function that takes in a time-varying signal and returns the FFT. It follows the Matlab documentation:

• https://www.mathworks.com/help/matlab/math/fourier-transforms.html
• https://www.mathworks.com/help/matlab/ref/fftshift.html

It works well for really simple sums of sinusoids.

For other simulated signals, like step functions, I end up with something fubar, that oscillates in a sawtooth-like fashion. Here is a minimal example using a heaviside step function, that plots the imaginary component of the FFT weight:

I know this is a long-standing, deeply embedded issue, but it's something I come up against so regularly, and that I see beginners to R struggle with so regularly, that I'd love to have a satisfactory solution. My google and SO searches have come up empty so far, but please point me in the right direction if this is duplicated elsewhere.

TL;DR: Is there a way to use something like the POSIXct class without a timezone? I generally use tz="UTC" regardless of the actual timezone of the dataset, but it's a messy hack IMO, and I don't particularly like it. What I want is something like tz=NULL, which would behave the same way as UTC, but without actually adding "UTC" as a tzone attribute.

I'll start with an example (there are plenty) of typical timezone issues. Creating an object with POSIXct values: