I have image data for my input 256x256x3 uint8 and the bit depth is 24. My question is, how can I change from 24 bit depth image to 8 bit depth image without changing the colortype in ‘truecolor’? Here’s my ans value. And here’s my codes to read image and info image:-
>> I=imread(‘1234.png’);
>> imfinfo(‘1234.png’)I have image data for my input 256x256x3 uint8 and the bit depth is 24. My question is, how can I change from 24 bit depth image to 8 bit depth image without changing the colortype in ‘truecolor’? Here’s my ans value. And here’s my codes to read image and info image:-
>> I=imread(‘1234.png’);
>> imfinfo(‘1234.png’) I have image data for my input 256x256x3 uint8 and the bit depth is 24. My question is, how can I change from 24 bit depth image to 8 bit depth image without changing the colortype in ‘truecolor’? Here’s my ans value. And here’s my codes to read image and info image:-
>> I=imread(‘1234.png’);
>> imfinfo(‘1234.png’) bitdepth, image processing MATLAB Answers — New Questions

​

I need to compute the totl number of green nodes and red nodes connected with each main node as shown in figure below

the code is in below
%Composing fixed nodes t
for h=1:1:num_fixed_nodes
S1(h).xd = position_region(i,1) + fixed_nodes{i, 1}(h,1);
S1(h).yd = position_region(i,2) + fixed_nodes{i, 1}(h,2);
S1(h).distance = sqrt((S1(h).xd-bs_x)^2 + (S1(h).yd-bs_y)^2 );
S1(h).G=0;
S1(h).id=h;
S1(h).type=’C’;
S1(h).temp = interp2(aa1,bb1,temp_values_1,S1(h).xd,S1(h).yd);
S1(h).E = Eo*rand(1,1);
Et=Et+S1(h).E;
S1(h).node_status = S1(h).temp<thresh_temp;
if(S1(h).node_status==1)
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’m’);
else
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’r’);
end
end

%Composing random nodes that will then communicate with fixed
%nodes
for h=num_fixed_nodes+1:1:num_nodes
%Generate random nodes within the region
S1(h).xd = position_region(i,1) + rand(1,1)*region_width;
S1(h).yd = position_region(i,2) + rand(1,1)*region_height;
S1(h).G=0;
S1(h).id=h;
S1(h).type=’N’;
S1(h).temp = interp2(aa1,bb1,temp_values_1,S1(h).xd,S1(h).yd);
S1(h).E=Eo*rand(1,1);
Et=Et+S1(h).E;
S1(h).node_status = S1(h).temp<thresh_temp;
if(S1(h).node_status==1)
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’g’);
else
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’r’);
endI need to compute the totl number of green nodes and red nodes connected with each main node as shown in figure below

the code is in below
%Composing fixed nodes t
for h=1:1:num_fixed_nodes
S1(h).xd = position_region(i,1) + fixed_nodes{i, 1}(h,1);
S1(h).yd = position_region(i,2) + fixed_nodes{i, 1}(h,2);
S1(h).distance = sqrt((S1(h).xd-bs_x)^2 + (S1(h).yd-bs_y)^2 );
S1(h).G=0;
S1(h).id=h;
S1(h).type=’C’;
S1(h).temp = interp2(aa1,bb1,temp_values_1,S1(h).xd,S1(h).yd);
S1(h).E = Eo*rand(1,1);
Et=Et+S1(h).E;
S1(h).node_status = S1(h).temp<thresh_temp;
if(S1(h).node_status==1)
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’m’);
else
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’r’);
end
end

%Composing random nodes that will then communicate with fixed
%nodes
for h=num_fixed_nodes+1:1:num_nodes
%Generate random nodes within the region
S1(h).xd = position_region(i,1) + rand(1,1)*region_width;
S1(h).yd = position_region(i,2) + rand(1,1)*region_height;
S1(h).G=0;
S1(h).id=h;
S1(h).type=’N’;
S1(h).temp = interp2(aa1,bb1,temp_values_1,S1(h).xd,S1(h).yd);
S1(h).E=Eo*rand(1,1);
Et=Et+S1(h).E;
S1(h).node_status = S1(h).temp<thresh_temp;
if(S1(h).node_status==1)
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’g’);
else
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’r’);
end I need to compute the totl number of green nodes and red nodes connected with each main node as shown in figure below

the code is in below
%Composing fixed nodes t
for h=1:1:num_fixed_nodes
S1(h).xd = position_region(i,1) + fixed_nodes{i, 1}(h,1);
S1(h).yd = position_region(i,2) + fixed_nodes{i, 1}(h,2);
S1(h).distance = sqrt((S1(h).xd-bs_x)^2 + (S1(h).yd-bs_y)^2 );
S1(h).G=0;
S1(h).id=h;
S1(h).type=’C’;
S1(h).temp = interp2(aa1,bb1,temp_values_1,S1(h).xd,S1(h).yd);
S1(h).E = Eo*rand(1,1);
Et=Et+S1(h).E;
S1(h).node_status = S1(h).temp<thresh_temp;
if(S1(h).node_status==1)
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’m’);
else
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’r’);
end
end

%Composing random nodes that will then communicate with fixed
%nodes
for h=num_fixed_nodes+1:1:num_nodes
%Generate random nodes within the region
S1(h).xd = position_region(i,1) + rand(1,1)*region_width;
S1(h).yd = position_region(i,2) + rand(1,1)*region_height;
S1(h).G=0;
S1(h).id=h;
S1(h).type=’N’;
S1(h).temp = interp2(aa1,bb1,temp_values_1,S1(h).xd,S1(h).yd);
S1(h).E=Eo*rand(1,1);
Et=Et+S1(h).E;
S1(h).node_status = S1(h).temp<thresh_temp;
if(S1(h).node_status==1)
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’g’);
else
scatter(S1(h).xd,S1(h).yd, ‘filled’,’MarkerFaceColor’,’r’);
end plotting, sum MATLAB Answers — New Questions

​

I am trying to create a Simulink model for SoC and SoH prediction of a battery, in order to implement in Hardware-in-the-loop(HIL) using OP4512 simulator. Using Stateful predict block in MATLAB 2021a did not help as RT-LAB did not support the block during the real-time simulation. So, I have tried using a user defined function block for loading two LSTM models, which were trained using M code and has an RMSE of 0.2365%. I have used the following code for my function block:
function [soc,soh] = prediction(voltage, current, temperature, cycles)
persistent lstmNet lstmNet1;
if isempty(lstmNet)
lstmNet = coder.loadDeepLearningNetwork(‘net25_3layer.mat’);
end
if isempty(lstmNet1)
lstmNet1 = coder.loadDeepLearningNetwork(’12_5_23_SOH_optimised_3layer.mat’);
end
norm_voltage = (voltage-3.9102)/0.137;
norm_current = (current+0.8334)/2.4459;
norm_temperature = (temperature-24.5092)/0.3066;
norm_cycles = (cycles-174.9916)/114.5728;

X = [norm_voltage, norm_current, norm_temperature];
norm_soc = predict(lstmNet, X’);
soc = norm_soc*21.612+63.0467;

X1 = [norm_soc, norm_cycles];
norm_soh = predict(lstmNet1, X1′);
soh = norm_soh*33.6548+46.8586;
end

Also, I have set my simulation target language as C++.
When I run this model, I find that the output is in a different range (in case of SoC, 63% – 78%) than the output data in the dataset (In case of SoC, 28%-100%). This, I believe, is because the loadDeepLearningNetwork do not consider any recurrent computation in the network (correct me if I am wrong).
Is there any way I can load these two LSTM models into the function block such that I get the appropriate output?
Find the two .mat files (LSTM models) and the input variables in soc_sim_ws.mat file.I am trying to create a Simulink model for SoC and SoH prediction of a battery, in order to implement in Hardware-in-the-loop(HIL) using OP4512 simulator. Using Stateful predict block in MATLAB 2021a did not help as RT-LAB did not support the block during the real-time simulation. So, I have tried using a user defined function block for loading two LSTM models, which were trained using M code and has an RMSE of 0.2365%. I have used the following code for my function block:
function [soc,soh] = prediction(voltage, current, temperature, cycles)
persistent lstmNet lstmNet1;
if isempty(lstmNet)
lstmNet = coder.loadDeepLearningNetwork(‘net25_3layer.mat’);
end
if isempty(lstmNet1)
lstmNet1 = coder.loadDeepLearningNetwork(’12_5_23_SOH_optimised_3layer.mat’);
end
norm_voltage = (voltage-3.9102)/0.137;
norm_current = (current+0.8334)/2.4459;
norm_temperature = (temperature-24.5092)/0.3066;
norm_cycles = (cycles-174.9916)/114.5728;

X = [norm_voltage, norm_current, norm_temperature];
norm_soc = predict(lstmNet, X’);
soc = norm_soc*21.612+63.0467;

X1 = [norm_soc, norm_cycles];
norm_soh = predict(lstmNet1, X1′);
soh = norm_soh*33.6548+46.8586;
end

Also, I have set my simulation target language as C++.
When I run this model, I find that the output is in a different range (in case of SoC, 63% – 78%) than the output data in the dataset (In case of SoC, 28%-100%). This, I believe, is because the loadDeepLearningNetwork do not consider any recurrent computation in the network (correct me if I am wrong).
Is there any way I can load these two LSTM models into the function block such that I get the appropriate output?
Find the two .mat files (LSTM models) and the input variables in soc_sim_ws.mat file. I am trying to create a Simulink model for SoC and SoH prediction of a battery, in order to implement in Hardware-in-the-loop(HIL) using OP4512 simulator. Using Stateful predict block in MATLAB 2021a did not help as RT-LAB did not support the block during the real-time simulation. So, I have tried using a user defined function block for loading two LSTM models, which were trained using M code and has an RMSE of 0.2365%. I have used the following code for my function block:
function [soc,soh] = prediction(voltage, current, temperature, cycles)
persistent lstmNet lstmNet1;
if isempty(lstmNet)
lstmNet = coder.loadDeepLearningNetwork(‘net25_3layer.mat’);
end
if isempty(lstmNet1)
lstmNet1 = coder.loadDeepLearningNetwork(’12_5_23_SOH_optimised_3layer.mat’);
end
norm_voltage = (voltage-3.9102)/0.137;
norm_current = (current+0.8334)/2.4459;
norm_temperature = (temperature-24.5092)/0.3066;
norm_cycles = (cycles-174.9916)/114.5728;

X = [norm_voltage, norm_current, norm_temperature];
norm_soc = predict(lstmNet, X’);
soc = norm_soc*21.612+63.0467;

X1 = [norm_soc, norm_cycles];
norm_soh = predict(lstmNet1, X1′);
soh = norm_soh*33.6548+46.8586;
end

Also, I have set my simulation target language as C++.
When I run this model, I find that the output is in a different range (in case of SoC, 63% – 78%) than the output data in the dataset (In case of SoC, 28%-100%). This, I believe, is because the loadDeepLearningNetwork do not consider any recurrent computation in the network (correct me if I am wrong).
Is there any way I can load these two LSTM models into the function block such that I get the appropriate output?
Find the two .mat files (LSTM models) and the input variables in soc_sim_ws.mat file. simulink, lstm, function block MATLAB Answers — New Questions

​

using MATLAB 2014A on macOS 10.11.6, I am running a function from the command line, and when I lock the screen the function suspends activity until I unlock it again.using MATLAB 2014A on macOS 10.11.6, I am running a function from the command line, and when I lock the screen the function suspends activity until I unlock it again. using MATLAB 2014A on macOS 10.11.6, I am running a function from the command line, and when I lock the screen the function suspends activity until I unlock it again. suspended job MATLAB Answers — New Questions

​

S函数程序为
function calculate_gain_sfunc(block)
setup(block);
end

function setup(block)
% Register the number of ports
block.NumInputPorts = 3; % Q1, Q2, and F2(t)
block.NumOutputPorts = 2; % y1 and y2

% Set up the input and output ports
block.SetPreCompInpPortInfoToDynamic;
block.SetPreCompOutPortInfoToDynamic;

block.InputPort(1).Dimensions = 1; % Q1
block.InputPort(2).Dimensions = 1; % Q2
block.InputPort(3).Dimensions = 1; % F2

block.OutputPort(1).Dimensions = 1; % y1
block.OutputPort(2).Dimensions = 1; % y2

% Register the parameters
block.NumDialogPrms = 9; % J1, L1, R1, AE, F1, J2, L2, R2

% Set the sample time
block.SampleTimes = [0 0];

% Specify the block simStateCompliance
block.SimStateCompliance = ‘DefaultSimState’;

% Register the methods
block.RegBlockMethod(‘Outputs’, @Output); % Register the output method
end

function Output(block)
% Get the inputs
Q1 = block.InputPort(1).Data;
Q2 = block.InputPort(2).Data;
F2 = block.InputPort(3).Data;

% Get the parameters
J1 = block.DialogPrm(1).Data;
L1 = block.DialogPrm(2).Data;
R1 = block.DialogPrm(3).Data;
AE = block.DialogPrm(4).Data;
F1 = block.DialogPrm(5).Data;
J2 = block.DialogPrm(6).Data;
L2 = block.DialogPrm(7).Data;
R2 = block.DialogPrm(8).Data;

% Compute the gains
gain1 = J1 * L1 / (R1 * (AE – F1));
gain2 = J2 * L2 / (R2 * (F2 – AE));

% Compute the outputs
y1 = gain1 * Q1;
y2 = gain2 * Q2;

% Set the outputs
block.OutputPort(1).Data = y1;
block.OutputPort(2).Data = y2;
end
模型如上图所示
simulink运行结果为：
The specified MATLAB File ‘calculate_gain_sfunc’ in ‘sys/S-Function1’ is not a valid Level 1 S-Function. The number of input and/or output arguments is not valid. A likely cause for this error is that the name of a level-2 MATLAB S-function has been specified in this block (which supports only level-1 MATLAB S-functions). Use the ‘Level-2 MATLAB S-Function’ block from the Simulink libraryS函数程序为
function calculate_gain_sfunc(block)
setup(block);
end

function setup(block)
% Register the number of ports
block.NumInputPorts = 3; % Q1, Q2, and F2(t)
block.NumOutputPorts = 2; % y1 and y2

% Set up the input and output ports
block.SetPreCompInpPortInfoToDynamic;
block.SetPreCompOutPortInfoToDynamic;

block.InputPort(1).Dimensions = 1; % Q1
block.InputPort(2).Dimensions = 1; % Q2
block.InputPort(3).Dimensions = 1; % F2

block.OutputPort(1).Dimensions = 1; % y1
block.OutputPort(2).Dimensions = 1; % y2

% Register the parameters
block.NumDialogPrms = 9; % J1, L1, R1, AE, F1, J2, L2, R2

% Set the sample time
block.SampleTimes = [0 0];

% Specify the block simStateCompliance
block.SimStateCompliance = ‘DefaultSimState’;

% Register the methods
block.RegBlockMethod(‘Outputs’, @Output); % Register the output method
end

function Output(block)
% Get the inputs
Q1 = block.InputPort(1).Data;
Q2 = block.InputPort(2).Data;
F2 = block.InputPort(3).Data;

% Get the parameters
J1 = block.DialogPrm(1).Data;
L1 = block.DialogPrm(2).Data;
R1 = block.DialogPrm(3).Data;
AE = block.DialogPrm(4).Data;
F1 = block.DialogPrm(5).Data;
J2 = block.DialogPrm(6).Data;
L2 = block.DialogPrm(7).Data;
R2 = block.DialogPrm(8).Data;

% Compute the gains
gain1 = J1 * L1 / (R1 * (AE – F1));
gain2 = J2 * L2 / (R2 * (F2 – AE));

% Compute the outputs
y1 = gain1 * Q1;
y2 = gain2 * Q2;

% Set the outputs
block.OutputPort(1).Data = y1;
block.OutputPort(2).Data = y2;
end
模型如上图所示
simulink运行结果为：
The specified MATLAB File ‘calculate_gain_sfunc’ in ‘sys/S-Function1’ is not a valid Level 1 S-Function. The number of input and/or output arguments is not valid. A likely cause for this error is that the name of a level-2 MATLAB S-function has been specified in this block (which supports only level-1 MATLAB S-functions). Use the ‘Level-2 MATLAB S-Function’ block from the Simulink library S函数程序为
function calculate_gain_sfunc(block)
setup(block);
end

function setup(block)
% Register the number of ports
block.NumInputPorts = 3; % Q1, Q2, and F2(t)
block.NumOutputPorts = 2; % y1 and y2

% Set up the input and output ports
block.SetPreCompInpPortInfoToDynamic;
block.SetPreCompOutPortInfoToDynamic;

block.InputPort(1).Dimensions = 1; % Q1
block.InputPort(2).Dimensions = 1; % Q2
block.InputPort(3).Dimensions = 1; % F2

block.OutputPort(1).Dimensions = 1; % y1
block.OutputPort(2).Dimensions = 1; % y2

% Register the parameters
block.NumDialogPrms = 9; % J1, L1, R1, AE, F1, J2, L2, R2

% Set the sample time
block.SampleTimes = [0 0];

% Specify the block simStateCompliance
block.SimStateCompliance = ‘DefaultSimState’;

% Register the methods
block.RegBlockMethod(‘Outputs’, @Output); % Register the output method
end

function Output(block)
% Get the inputs
Q1 = block.InputPort(1).Data;
Q2 = block.InputPort(2).Data;
F2 = block.InputPort(3).Data;

% Get the parameters
J1 = block.DialogPrm(1).Data;
L1 = block.DialogPrm(2).Data;
R1 = block.DialogPrm(3).Data;
AE = block.DialogPrm(4).Data;
F1 = block.DialogPrm(5).Data;
J2 = block.DialogPrm(6).Data;
L2 = block.DialogPrm(7).Data;
R2 = block.DialogPrm(8).Data;

% Compute the gains
gain1 = J1 * L1 / (R1 * (AE – F1));
gain2 = J2 * L2 / (R2 * (F2 – AE));

% Compute the outputs
y1 = gain1 * Q1;
y2 = gain2 * Q2;

% Set the outputs
block.OutputPort(1).Data = y1;
block.OutputPort(2).Data = y2;
end
模型如上图所示
simulink运行结果为：
The specified MATLAB File ‘calculate_gain_sfunc’ in ‘sys/S-Function1’ is not a valid Level 1 S-Function. The number of input and/or output arguments is not valid. A likely cause for this error is that the name of a level-2 MATLAB S-function has been specified in this block (which supports only level-1 MATLAB S-functions). Use the ‘Level-2 MATLAB S-Function’ block from the Simulink library 2018b MATLAB Answers — New Questions

​

Hello, I have problems with a vector that I am working with, it has more than 10,000 elements, but I just need to know the trend of these, so I would like to take 1 out of every 10 values ​​to graph it, could you suggest a way to obtain it please?Hello, I have problems with a vector that I am working with, it has more than 10,000 elements, but I just need to know the trend of these, so I would like to take 1 out of every 10 values ​​to graph it, could you suggest a way to obtain it please? Hello, I have problems with a vector that I am working with, it has more than 10,000 elements, but I just need to know the trend of these, so I would like to take 1 out of every 10 values ​​to graph it, could you suggest a way to obtain it please? vector MATLAB Answers — New Questions

​

How to convert the image with the following information: ColorType: truecolor Format: png bitDepth: 24

to a png grayscale image with bitdepth=8 in matlab ?How to convert the image with the following information: ColorType: truecolor Format: png bitDepth: 24

to a png grayscale image with bitdepth=8 in matlab ? How to convert the image with the following information: ColorType: truecolor Format: png bitDepth: 24

to a png grayscale image with bitdepth=8 in matlab ? png, bitdepth, grayscale MATLAB Answers — New Questions

​

Hi, I am trying to buid an AI model pridict the the properties of an RF ray after an interaction with an object and want to create the data set using matlab. I came accross a tutorial that shows how to get different properties of a path (I think) but is there a way to get the information of each ray. for example when it hit an obsticle/material these were the properties and when it bounced off these were the properties.

thanks in advanceHi, I am trying to buid an AI model pridict the the properties of an RF ray after an interaction with an object and want to create the data set using matlab. I came accross a tutorial that shows how to get different properties of a path (I think) but is there a way to get the information of each ray. for example when it hit an obsticle/material these were the properties and when it bounced off these were the properties.

thanks in advance Hi, I am trying to buid an AI model pridict the the properties of an RF ray after an interaction with an object and want to create the data set using matlab. I came accross a tutorial that shows how to get different properties of a path (I think) but is there a way to get the information of each ray. for example when it hit an obsticle/material these were the properties and when it bounced off these were the properties.

thanks in advance rayt racing, radio propogation MATLAB Answers — New Questions

​

If I needed a collection globals to store actively updated information, would it be better (run faster, run more efficiently, have less possibilities for bugs) to have a global struct in place of multiple globals? The various callbacks that update the information don’t use every single global, so a struct would bring along extra information in many of the places it is needed.
The motivation for this question is the UI I have designed, as globals are the only way that I currently understand how to enable interrupting callbacks to change the value of a variable that must be recognized by the interrupted callback. There is likely a better way to do this that doesn’t use globals, but my browsing didn’t reveal anything simple enough for my skill level and deadline. (please link alternatives to globals)!
Example:
%lines stores line graphics objects with 2 axes of 3-dimensional data
%each row in this array is an increment of the 3rd dimension
global lines; %is global for interrupting property changes of lines
lines = gobjects(80,4); %80 lines for each of 4 data sets

%Whether or not a playback iterating through each row of lines stops itself
global pauseState;
pauseState = true;
Where they would be replaced by the struct
global s;
s = struct(‘paused’,true,’lines’,gobjects(80,4))
Used by the callback functions
function pause()
global pauseState; %Here only one global is used, struct would be wasteful?
pauseState = true;
end

%While play() is running, pause() is called, interrupting and breaking the loop
function play()
global pauseState; %Here both globals are used, struct would be more compact
%global delay; %Another possible global
global lines;
%global lines2;

pauseState = false;

for i=1:1:height(lines)
if pauseState == true
break;
end
%do stuff
%[lines(i,:).Visibility] = deal(‘on’); %or something

%drawnow;
%pause(delay); %Dictate pacing of play loop
end
end
For the sake of simplicity, the operative code within play() is omitted since there would need to be more than placeholder graphics objects.
This example is not too far off from what a portion of my UI actually does, so these are some of the circumstances in which the struct substitution would be employed. I’m not sure of other cases.
The globals used here are of drastically different sizes, which I mention since the answer to this question may depend greatly on the size of the globals that would be replaced by the struct. Not all of the globals I am using are so polarized in size, like how "delay" and "pauseState" are a double and a logical value (both small).
Thank you!

Notes: I do not have any run errors or warnings, and I have not run into any issues with using multiple globals. I also use the clear; command at the top of my file which may be why I haven’t run into any issues with globals. The two callback functions here are used with uibutton objects.If I needed a collection globals to store actively updated information, would it be better (run faster, run more efficiently, have less possibilities for bugs) to have a global struct in place of multiple globals? The various callbacks that update the information don’t use every single global, so a struct would bring along extra information in many of the places it is needed.
The motivation for this question is the UI I have designed, as globals are the only way that I currently understand how to enable interrupting callbacks to change the value of a variable that must be recognized by the interrupted callback. There is likely a better way to do this that doesn’t use globals, but my browsing didn’t reveal anything simple enough for my skill level and deadline. (please link alternatives to globals)!
Example:
%lines stores line graphics objects with 2 axes of 3-dimensional data
%each row in this array is an increment of the 3rd dimension
global lines; %is global for interrupting property changes of lines
lines = gobjects(80,4); %80 lines for each of 4 data sets

%Whether or not a playback iterating through each row of lines stops itself
global pauseState;
pauseState = true;
Where they would be replaced by the struct
global s;
s = struct(‘paused’,true,’lines’,gobjects(80,4))
Used by the callback functions
function pause()
global pauseState; %Here only one global is used, struct would be wasteful?
pauseState = true;
end

%While play() is running, pause() is called, interrupting and breaking the loop
function play()
global pauseState; %Here both globals are used, struct would be more compact
%global delay; %Another possible global
global lines;
%global lines2;

pauseState = false;

for i=1:1:height(lines)
if pauseState == true
break;
end
%do stuff
%[lines(i,:).Visibility] = deal(‘on’); %or something

%drawnow;
%pause(delay); %Dictate pacing of play loop
end
end
For the sake of simplicity, the operative code within play() is omitted since there would need to be more than placeholder graphics objects.
This example is not too far off from what a portion of my UI actually does, so these are some of the circumstances in which the struct substitution would be employed. I’m not sure of other cases.
The globals used here are of drastically different sizes, which I mention since the answer to this question may depend greatly on the size of the globals that would be replaced by the struct. Not all of the globals I am using are so polarized in size, like how "delay" and "pauseState" are a double and a logical value (both small).
Thank you!

Notes: I do not have any run errors or warnings, and I have not run into any issues with using multiple globals. I also use the clear; command at the top of my file which may be why I haven’t run into any issues with globals. The two callback functions here are used with uibutton objects. If I needed a collection globals to store actively updated information, would it be better (run faster, run more efficiently, have less possibilities for bugs) to have a global struct in place of multiple globals? The various callbacks that update the information don’t use every single global, so a struct would bring along extra information in many of the places it is needed.
The motivation for this question is the UI I have designed, as globals are the only way that I currently understand how to enable interrupting callbacks to change the value of a variable that must be recognized by the interrupted callback. There is likely a better way to do this that doesn’t use globals, but my browsing didn’t reveal anything simple enough for my skill level and deadline. (please link alternatives to globals)!
Example:
%lines stores line graphics objects with 2 axes of 3-dimensional data
%each row in this array is an increment of the 3rd dimension
global lines; %is global for interrupting property changes of lines
lines = gobjects(80,4); %80 lines for each of 4 data sets

%Whether or not a playback iterating through each row of lines stops itself
global pauseState;
pauseState = true;
Where they would be replaced by the struct
global s;
s = struct(‘paused’,true,’lines’,gobjects(80,4))
Used by the callback functions
function pause()
global pauseState; %Here only one global is used, struct would be wasteful?
pauseState = true;
end

%While play() is running, pause() is called, interrupting and breaking the loop
function play()
global pauseState; %Here both globals are used, struct would be more compact
%global delay; %Another possible global
global lines;
%global lines2;

pauseState = false;

for i=1:1:height(lines)
if pauseState == true
break;
end
%do stuff
%[lines(i,:).Visibility] = deal(‘on’); %or something

%drawnow;
%pause(delay); %Dictate pacing of play loop
end
end
For the sake of simplicity, the operative code within play() is omitted since there would need to be more than placeholder graphics objects.
This example is not too far off from what a portion of my UI actually does, so these are some of the circumstances in which the struct substitution would be employed. I’m not sure of other cases.
The globals used here are of drastically different sizes, which I mention since the answer to this question may depend greatly on the size of the globals that would be replaced by the struct. Not all of the globals I am using are so polarized in size, like how "delay" and "pauseState" are a double and a logical value (both small).
Thank you!

Notes: I do not have any run errors or warnings, and I have not run into any issues with using multiple globals. I also use the clear; command at the top of my file which may be why I haven’t run into any issues with globals. The two callback functions here are used with uibutton objects. globals, callback, gui, struct, interruption MATLAB Answers — New Questions

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Hello, I have this function that takes a value Val and returns a 3D plot of two curves z1 and z2 with a dotted red line where they intersect with Val.
function Plot(Val)

X = [0:0.5:5];
Y = [0:0.1:1];
[x,y] = meshgrid(X,Y);

z1 = [x.*y.*57.5];
z2 = [x.*y.*110];

figure(1)
surf(x,y,z1, ‘FaceAlpha’, 0.5)
colormap winter
shading interp

hold on

surf(x,y,z2, ‘FaceAlpha’, 0.5)
shading interp
xlim([0 5])
ylim([0 1])
zlim([0 450])

Xg = x(1,:);
Yg = y(:,1);
hold on
M1 = contour3(Xg, Yg, z1, [CharVal,CharVal], ‘–r’);
M2 = contour3(Xg, Yg, z2, [CharVal, CharVal], ‘–r’);

I’m trying to create an app in the MATLAB gui where I have a slider for Val and would be able to see the intersection point change in real time. I currently am trying to use just a numeric input field for the value, but I can’t get the figure to plot in my GUI.
% Button pushed function: ExecuteButton
function ExecuteButtonPushed(app, event)
CharVal = app.EffValueEditField.Value;
EnergyEff(CharVal);
plot(, ‘Parent’, app.UIAxes);

end
Inputting a value and clicking the ‘Execute’ button gives me the plot but outside of the GUI. Any help is appreciatedHello, I have this function that takes a value Val and returns a 3D plot of two curves z1 and z2 with a dotted red line where they intersect with Val.
function Plot(Val)

X = [0:0.5:5];
Y = [0:0.1:1];
[x,y] = meshgrid(X,Y);

z1 = [x.*y.*57.5];
z2 = [x.*y.*110];

figure(1)
surf(x,y,z1, ‘FaceAlpha’, 0.5)
colormap winter
shading interp

hold on

surf(x,y,z2, ‘FaceAlpha’, 0.5)
shading interp
xlim([0 5])
ylim([0 1])
zlim([0 450])

Xg = x(1,:);
Yg = y(:,1);
hold on
M1 = contour3(Xg, Yg, z1, [CharVal,CharVal], ‘–r’);
M2 = contour3(Xg, Yg, z2, [CharVal, CharVal], ‘–r’);

I’m trying to create an app in the MATLAB gui where I have a slider for Val and would be able to see the intersection point change in real time. I currently am trying to use just a numeric input field for the value, but I can’t get the figure to plot in my GUI.
% Button pushed function: ExecuteButton
function ExecuteButtonPushed(app, event)
CharVal = app.EffValueEditField.Value;
EnergyEff(CharVal);
plot(, ‘Parent’, app.UIAxes);

end
Inputting a value and clicking the ‘Execute’ button gives me the plot but outside of the GUI. Any help is appreciated Hello, I have this function that takes a value Val and returns a 3D plot of two curves z1 and z2 with a dotted red line where they intersect with Val.
function Plot(Val)

X = [0:0.5:5];
Y = [0:0.1:1];
[x,y] = meshgrid(X,Y);

z1 = [x.*y.*57.5];
z2 = [x.*y.*110];

figure(1)
surf(x,y,z1, ‘FaceAlpha’, 0.5)
colormap winter
shading interp

hold on

surf(x,y,z2, ‘FaceAlpha’, 0.5)
shading interp
xlim([0 5])
ylim([0 1])
zlim([0 450])

Xg = x(1,:);
Yg = y(:,1);
hold on
M1 = contour3(Xg, Yg, z1, [CharVal,CharVal], ‘–r’);
M2 = contour3(Xg, Yg, z2, [CharVal, CharVal], ‘–r’);

I’m trying to create an app in the MATLAB gui where I have a slider for Val and would be able to see the intersection point change in real time. I currently am trying to use just a numeric input field for the value, but I can’t get the figure to plot in my GUI.
% Button pushed function: ExecuteButton
function ExecuteButtonPushed(app, event)
CharVal = app.EffValueEditField.Value;
EnergyEff(CharVal);
plot(, ‘Parent’, app.UIAxes);

end
Inputting a value and clicking the ‘Execute’ button gives me the plot but outside of the GUI. Any help is appreciated gui, contour MATLAB Answers — New Questions

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