## WordPress ajax serial processing of and sending

I want to install/activate plugins via ajax.But i want to add a loading class on plugins list item which is being installing or activating. In jquery If i want to do it i need to write a lot bunch of code there.For example I have 4 plugins to install.So i have to first, send first ajax request to install first plugin then when a response comes I send second request in success block but its too time consuming. I want to know if there is any easy solution. Or in php file can i send a response back then continue installing 2nd one. Is that possible??

## Shortcodes not processing inside post content

I have shortcodes inside my post_content in a custom post type wordpress. But when I echo the post content, all the shortcodes are not getting applied.

What I’ve tried so far:

$post = get_post(post_id, OBJECT); echo apply_filters('the_content',$  post->post_content); 

I’ve also applied the do_shortcode() function but that also doesn’t process the shortcodes. I’ve already applied most of the solutions present on this platform but no luck. Any help would be highly appreciated.

Thanks & Regards

## Supplement sales card processing

Have a wix website and need a payment gateway for supplement sales. Can anyone suggest any I can use either with wix or on another platform.

Based in the UK

## How to use pykalman for processing aicraft trajectory? [closed]

I’m programming in Python, for a research project I’m trying to track an aircraft trajectory based on ADS-B data that I get from opensky-network.org. Because of the nature of ADS-B data there are is some missing timestamp that occurs periodically. Example:

time,lat,long 2020-03-09 01:09:50,39.29488359871557,-94.729248046875 2020-03-09 01:10:00,39.28873870332362,-94.729736328125 2020-03-09 01:10:10,39.28216552734375,-94.728479800017 2020-03-09 01:10:20,39.27557373046875,-94.7266885508662 2020-03-09 01:10:30,39.268116061970346,-94.72454833984376 

My goal is to estimate the condition of the aircraft (position and speed) during the interruption period (missing timestamp). In order to do that, I planned to use the Kalman filter. In kalman filter the value of measured parameters that I have needs to be converted to a cartesian format. So I manage to convert the data into cartesian form:

time,X_position,Y_position,Z_position,Velocity,velocity_x,velocity_y,velocity_z,Acceleration,acceleration_x,acceleration_y,acceleration_z,Delta_time 2020-03-09 01:09:50,-407542.7557490199,-4926243.355891898,4018043.497980225,70.7561572258253,-68.93549599999999,-15.947764000000017,16.90624,0.0,0.0,0.0,0.0,0.0 2020-03-09 01:10:00,-407631.54840079864,-4926805.655733497,4017626.447953463,70.05699827516962,-69.964384,3.6011080000000137,13.32992,-0.06991589506556864,0.0698234673266738,-0.003593854935931754,-0.35763200000000006,10.0 2020-03-09 01:10:10,-407567.9161406082,-4927351.560671127,4017124.268793508,75.46737426866473,-74.07993599999999,14.404431999999998,9.10336,0.5410375993495109,-0.5310908339108239,0.10326766214932687,-0.4226559999999999,10.0 2020-03-09 01:10:20,-407458.85953741614,-4927908.400397506,4016625.242964065,81.02288852983754,-79.22437599999999,16.976652000000023,11.70432,0.5555514261172817,-0.5432195256016256,0.11640418405749135,0.2600959999999999,10.0 2020-03-09 01:10:30,-407324.27388949855,-4928522.438497869,4016046.8880836726,87.22215588451971,-84.88325999999999,20.06331600000003,6.1772800000000005,0.6199267354682163,-0.6033031600063801,0.14259892872878097,-0.5527039999999999,10.0 

Based on what learned from kalmanfilter.net I need to determine several equations:

• $\hat{{x}}_{{n}+\mathbf{1},&space;{n}}={F}&space;\hat{{x}}_{{n},&space;{n}}+{G}&space;\hat{{u}}_{{n},{n}}+{w}_{{n}}$
• ${P}_{{n}+{1},{n}}={F}&space;{P}_{{n},{n}}{F}^{{T}}+{Q}$
• ${K}_{{n}}=\frac{{P}_{{n},{n}-\mathbf{1}}{H}^{{T}}}{{H}{P}_{{n},{n}-\mathbf{1}}{H}^{{T}}+{R}_{{n}}}$
• ${P}_{{n},{n}}=\left({I}-{K}_{n}&space;{H}\right)&space;{P}_{{n},&space;{n}-1}$
• ${\hat{x}_{n,n}}={{\hat{x}_{n,n-1}}}+{K_{n}}\left({z_{n}}-&space;{H}&space;{{\hat{x}_{n,n-1}}}\right)$

From what I find this calculation can be solved by using pykalman library, but in the I’m really lost in how I should apply it to my code. On the website, there is an indication that I could enter the other matrix variable that I need in order to calculate the Kalman filter equation. However, there is no other explanation about how I can adjust the code.

My question is how should I adjust the code so my calculation is in accordance with the Kalman filter equation

## Can’t Understand the formula for processing speed of each job

I am trying to understand the formula for processing speed of each job. I got the formula from the following link:

Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines

The other details are provided below:

I can’t understand what is the basis (i.e. the fundamental logic) of the following formula. Speed (i.e. Velocity) is given by : S= V * t

Why we have this fraction term in the formula? What does the denominator represent? I think it is representing the processing time of each job.

## Among the following which all affects the processing power, considering one at a time?

1. Data bus capability 2. Addressing scheme  3. Clock speed   

Keeping ” Data bus capability ” and ” Clock speed ” as constant or fixed, If we manipulate the addressing scheme the it will only improve the overhead for accessing the opcode or operand, but will now make the processor run faster.

I believe it should be –

1. Data bus capability
2. Clock speed

## URL and other fields stopped processing spintax?

this worked for months until i updated just now
you changed it or i need to reinstall gsa?
is there way to include spintax in url?

## Gaussian noise: Image Processing

As we all know, Gaussian Noise follows Gaussian or Normal distribution, and that distribution follows a $$BELL$$ $$CURVE$$.

As we can see that most of the values are centered around the mean.

Now consider this image

When I add Gaussian noise to this image I get something like this

As we can see that the noise appears to be $$UNIFORMLY$$ $$DISTRIBUTED$$ throughout the image. There is no region where we can say that the noises concentrated around the mean value

So how can these be called Gaussian Noise?

The Code that I have used in octave is given below

 pkg load image;  I=imread('C:\Users\Hirak\Desktop\apple.jpg'); I=rgb2gray(I);  J = imnoise(I,'gaussian',0.02); K = medfilt2(J); imshow(J); 

## Save Payment Processing Fee With eCheck Gateway

Do you accept credit cards or debit cards for your business? Do you pay heavy payment processing fee? Save your processing fee by upgrading your payment processing technique. Nowadays, eCheck payment processing is a better option for every business as it guarantees security, reduced chargebacks, and low transaction fees. Also, it is easy to use anywhere.